Kevin Chang

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. H Shao, J Huang, S Zheng, KCC Chang arXiv preprint arXiv:2305.12707, 2023.

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Expository Text Generation: Imitate, Retrieve, Paraphrase. N Balepur, J Huang, KCC Chang arXiv preprint arXiv:2305.03276, 2023.

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Unsupervised Open-domain Keyphrase Generation. LT Do, PS Akash, KCC Chang arXiv preprint arXiv:2306.10755, 2023.

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Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. N Balepur, J Huang, S Moorjani, H Sundaram, KCC Chang arXiv preprint arXiv:2305.14750, 2023.

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CCGen: Explainable Complementary Concept Generation in E-Commerce. J Huang, Y Gao, Z Li, J Yang, Y Song, C Zhang, Z Zhu, H Jiang, ... arXiv preprint arXiv:2305.11480, 2023.

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Entity search method, related device, and computer storage medium. XU Chuanfei, Y Chang, M Xia, C Yueguo, MA Denghao, K Chang US Patent 11,636,143, 2023.

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Citation: A key to building responsible and accountable large language models. J Huang, KCC Chang arXiv preprint arXiv:2307.02185, 2023.

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GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. S Zheng, Y Zhang, Y Zhu, C Xi, P Gao, X Zhou, KCC Chang arXiv preprint arXiv:2309.16583, 2023.

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Raven: In-context learning with retrieval augmented encoder-decoder language models. J Huang, W Ping, P Xu, M Shoeybi, KCC Chang, B Catanzaro arXiv preprint arXiv:2308.07922, 2023.

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Let the Pretrained Language Models" Imagine" for Short Texts Topic Modeling. PS Akash, J Huang, KCC Chang arXiv preprint arXiv:2310.15420, 2023.

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Text Fact Transfer. N Balepur, J Huang, KCC Chang arXiv preprint arXiv:2310.14486, 2023.

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Ask To The Point: Open-Domain Entity-Centric Question Generation. Y Liu, J Huang, KCC Chang arXiv preprint arXiv:2310.14126, 2023.

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Descriptive Knowledge Graph in Biomedical Domain. K Zhu, J Huang, KCC Chang arXiv preprint arXiv:2310.11681, 2023.

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TopicAdapt-An Inter-Corpora Topics Adaptation Approach. PS Akash, T Das, KCC Chang arXiv preprint arXiv:2310.04978, 2023.

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Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning. J Wang, G Kim, KCC Chang International Journal of Health Geographics 22 (1), 22, 2023.

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Why Does ChatGPT Fall Short in Answering Questions Faithfully?. S Zheng, J Huang, KCC Chang arXiv preprint arXiv:2304.10513, 2023.

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DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. C Liu, J Huang, K Zhu, KCC Chang arXiv preprint arXiv:2212.10545, 2022.

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When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. K Pei, I Jindal, KCC Chang, C Zhai, Y Li arXiv preprint arXiv:2211.08228, 2022.

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DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. J Huang, K Zhu, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2205.10479, 2022.

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Coordinated Topic Modeling. PS Akash, J Huang, KCC Chang arXiv preprint arXiv:2210.08559, 2022.

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Domain Representative Keywords Selection: A Probabilistic Approach. PS Akash, J Huang, KCC Chang, Y Li, L Popa, CX Zhai arXiv preprint arXiv:2203.10365, 2022.

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Exploring Variational Graph Auto-Encoders for Extract Class Refactoring Recommendation. PS Akash, KCC Chang arXiv preprint arXiv:2203.08787, 2022.

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Unified and incremental SimRank: Index-free approximation with scheduled principle (extended abstract).(2022). F ZHU, Y FANG, K ZHANG, KCC CHANG, H CAO, Z JIANG, M WU Proceedings of the 38th International Conference on Data Engineering, Kuala ..., 2022.

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Towards reasoning in large language models: A survey. J Huang, KCC Chang arXiv preprint arXiv:2212.10403, 2022.

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Are Large Pre-Trained Language Models Leaking Your Personal Information?. J Huang, H Shao, KCC Chang arXiv preprint arXiv:2205.12628, 2022.

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Deer: Descriptive knowledge graph for explaining entity relationships. J Huang, K Zhu, KCC Chang, J Xiong, W Hwu Proceedings of the 2022 Conference on Empirical Methods in Natural Language ..., 2022.

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Decision tree Thompson sampling for mining hidden populations through attributed search. S Kumar, H Gao, C Wang, KCC Chang, H Sundaram Social Network Analysis and Mining 12, 1-21, 2022.

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Ver: Learning natural language representations for verbalizing entities and relations. J Huang, KCC Chang arXiv preprint arXiv:2211.11093, 2022.

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Can Language Models Be Specific? How?. J Huang, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2210.05159, 2022.

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SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. C Wang, P Wang, T Qin, C Wang, S Kumar, X Guan, J Liu, KCC Chang IEEE Transactions on Neural Networks and Learning Systems, 2021.

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Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle. F Zhu, Y Fang, K Zhang, K Chang, H Cao, Z Jiang, M Wu IEEE Transactions on Knowledge and Data Engineering, 2021.

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On analyzing graphs with motif-paths. X Li, R Cheng, KCC Chang, C Shan, C Ma, H Cao Proceedings of the VLDB Endowment 14 (6), 1111-1123, 2021.

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Open relation modeling: Learning to define relations between entities. J Huang, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2108.09241, 2021.

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CoVA: context-aware visual attention for webpage information extraction. A Kumar, K Morabia, J Wang, KCC Chang, A Schwing arXiv preprint arXiv:2110.12320, 2021.

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Understanding jargon: Combining extraction and generation for definition modeling. J Huang, H Shao, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2111.07267, 2021.

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Measuring fine-grained domain relevance of terms: A hierarchical core-fringe approach. J Huang, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2105.13255, 2021.

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CDM: combining extraction and generation for definition modeling. J Huang, H Shao, KCC Chang ArXiv abs/2111.07267, 2021.

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GraphEBM: Energy-based graph construction for semi-supervised learning. Z Chen, H Cao, KCC Chang 2020 IEEE International Conference on Data Mining (ICDM), 62-71, 2020.

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Geom-gcn: Geometric graph convolutional networks. H Pei, B Wei, KCC Chang, Y Lei, B Yang arXiv preprint arXiv:2002.05287, 2020.

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Active surveillance via group sparse Bayesian learning. H Pei, B Yang, J Liu, KCC Chang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (3), 1133-1148, 2020.

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Can voters detect malicious manipulation of ballot marking devices?. M Bernhard, A McDonald, H Meng, J Hwa, N Bajaj, K Chang, ... 2020 IEEE Symposium on Security and Privacy (SP), 679-694, 2020.

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Rose: Role-based signed network embedding. A Javari, T Derr, P Esmailian, J Tang, KCC Chang Proceedings of the Web Conference 2020, 2782-2788, 2020.

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Experimental DNA demethylation associates with changes in growth and gene expression of oak tree seedlings. L Browne, A Mead, C Horn, K Chang, Z A. Celikkol, C L. Henriquez, F Ma, ... G3: Genes, Genomes, Genetics 10 (3), 1019-1028, 2020.

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M-cypher: A gql framework supporting motifs. X Li, R Cheng, M Najafi, K Chang, X Han, H Cao Proceedings of the 29th ACM International Conference on Information ..., 2020.

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Curvature regularization to prevent distortion in graph embedding. H Pei, B Wei, K Chang, C Zhang, B Yang Advances in Neural Information Processing Systems 33, 20779-20790, 2020.

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Mc-explorer: Analyzing and visualizing motif-cliques on large networks. B Li, R Cheng, J Hu, Y Fang, M Ou, R Luo, KCC Chang, X Lin 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1722-1725, 2020.

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Heterogeneous network crawling: Reaching target nodes by motif-guided navigation. C Wang, KCC Chang, P Wang, T Qin, X Guan IEEE Transactions on Knowledge and Data Engineering 34 (9), 4285-4297, 2020.

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Exploring semantic capacity of terms. J Huang, Z Wang, KCC Chang, W Hwu, J Xiong arXiv preprint arXiv:2010.01898, 2020.

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Generalizations of the Feline and Texas Chainsaw Josephus Problems. D Ariyibi, K Chang, PE Harris Open Journal of Discrete Mathematics 9 (4), 144-158, 2019.

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Mining Hidden Populations through Attributed Search. S Kumar, H Gao, C Wang, H Sundaram, KCC Chang arXiv preprint arXiv:1905.04505, 2019.

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Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness [Supplementary Materials]. C Yang, K Chang .

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Embedding both finite and infinite communities on graphs [application notes]. S Cavallari, E Cambria, H Cai, KCC Chang, VW Zheng IEEE computational intelligence magazine 14 (3), 39-50, 2019.

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Meta-GNN: Metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. A Sankar, X Zhang, KCC Chang Proceedings of the 2019 IEEE/ACM International Conference on Advances in ..., 2019.

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Discovering maximal motif cliques in large heterogeneous information networks. J Hu, R Cheng, KCC Chang, A Sankar, Y Fang, BYH Lam 2019 IEEE 35th International Conference on Data Engineering (ICDE), 746-757, 2019.

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Metagraph-based learning on heterogeneous graphs. Y Fang, W Lin, VW Zheng, M Wu, J Shi, KCC Chang, XL Li IEEE Transactions on Knowledge and Data Engineering 33 (1), 154-168, 2019.

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Anti-freeze for large and complex spreadsheets: Asynchronous formula computation. M Bendre, T Wattanawaroon, K Mack, K Chang, A Parameswaran Proceedings of the 2019 International Conference on Management of Data, 1277 ..., 2019.

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Faster, higher, stronger: Redesigning spreadsheets for scale. M Bendre, T Wattanawaroon, S Rahman, K Mack, Y Liu, S Zhu, Y Lu, ... 2019 IEEE 35th International Conference on Data Engineering (ICDE), 1972-1975, 2019.

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Relationship profiling over social networks: Reverse smoothness from similarity to closeness. C Yang, K Chang Proceedings of the 2019 SIAM International Conference on Data Mining, 342-350, 2019.

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Hierarchical multi-armed bandits for discovering hidden populations. S Kumar, H Gao, C Wang, KCC Chang, H Sundaram Proceedings of the 2019 IEEE/ACM International Conference on Advances in ..., 2019.

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Motif paths: A new approach for analyzing higher-order semantics between graph nodes. X Li, TN Chan, R Cheng, C Shan, C Ma, K Chang HKU Technique Reports 3, 4, 2019.

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Extending spreadsheets to support seamless navigation at scale. S Rahman, M Bendre, Y Liu, S Zhu, Z Su, K Karahalios, A Parameswaran .

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A comprehensive survey of graph embedding: Problems, techniques, and applications. H Cai, VW Zheng, KCC Chang IEEE transactions on knowledge and data engineering 30 (9), 1616-1637, 2018.

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Inflammatory endotypes and microbial associations in chronic rhinosinusitis. M Hoggard, S Waldvogel-Thurlow, M Zoing, K Chang, FJ Radcliff, ... Frontiers in immunology 9, 2065, 2018.

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Distance-aware dag embedding for proximity search on heterogeneous graphs. Z Liu, V Zheng, Z Zhao, F Zhu, K Chang, M Wu, J Ying Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018.

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Heterogeneous embedding propagation for large-scale e-commerce user alignment. VW Zheng, M Sha, Y Li, H Yang, Y Fang, Z Zhang, KL Tan, KCC Chang 2018 IEEE International Conference on Data Mining (ICDM), 1434-1439, 2018.

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Towards a holistic integration of spreadsheets with databases: A scalable storage engine for presentational data management. M Bendre, V Venkataraman, X Zhou, K Chang, A Parameswaran 2018 IEEE 34th International Conference on Data Engineering (ICDE), 113-124, 2018.

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Subgraph-augmented path embedding for semantic user search on heterogeneous social network. Z Liu, VW Zheng, Z Zhao, H Yang, KCC Chang, M Wu, J Ying Proceedings of the 2018 World Wide Web Conference, 1613-1622, 2018.

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Characterizing scalability issues in spreadsheet software using online forums. K Mack, J Lee, K Chang, K Karahalios, A Parameswaran Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing ..., 2018.

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Authenticity and credibility aware detection of adverse drug events from social media. T Hoang, J Liu, N Pratt, VW Zheng, KC Chang, E Roughead, J Li International journal of medical informatics 120, 157-171, 2018.

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Leveraging fine-grained Wikipedia categories for entity search. D Ma, Y Chen, KCC Chang, X Du, C Xu, Y Chang Proceedings of the 2018 world wide web conference, 1623-1632, 2018.

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Semi-supervised learning meets factorization: Learning to recommend with chain graph model. C Chen, KCC Chang, Q Li, X Zheng ACM Transactions on Knowledge Discovery from Data (TKDD) 12 (6), 1-24, 2018.

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Nonintrusive smartphone user verification using anonymized multimodal data. H Cao, KCC Chang IEEE Transactions on Knowledge and Data Engineering 31 (3), 479-492, 2018.

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System, method and graphical user interface for managing contacts and calendars within an online card system. K Berger, A Asar, K Chang, M Holloway, E Chen, K Salvador US Patent 9,881,330, 2018.

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Deep-Web Search. KCC Chang Encyclopedia of Database Systems (2nd ed.), 2018.

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Upper Bounds for Ordered Ramsey Numbers of Small 1-Orderings. K Chang arXiv preprint arXiv:1702.01878, 2017.

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Seepage Velocity in Partially Saturated Clayey Slopes with Different Relative Compactions. S Ghanei, C Lee, K Chang, B Bernal, B Ajmera, B Tiwari, SM Alexander, ... .

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Learning community embedding with community detection and node embedding on graphs. S Cavallari, VW Zheng, H Cai, KCC Chang, E Cambria Proceedings of the 2017 ACM on Conference on Information and Knowledge ..., 2017.

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Topological recurrent neural network for diffusion prediction. J Wang, VW Zheng, Z Liu, KCC Chang 2017 IEEE international conference on data mining (ICDM), 475-484, 2017.

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Towards context-aware social recommendation via individual trust. J Li, C Chen, H Chen, C Tong Knowledge-Based Systems 127, 58-66, 2017.

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Semantic proximity search on heterogeneous graph by proximity embedding. Z Liu, VW Zheng, Z Zhao, F Zhu, KCC Chang, M Wu, J Ying Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017.

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Active learning for graph embedding. H Cai, VW Zheng, KCC Chang arXiv preprint arXiv:1705.05085, 2017.

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From community detection to community profiling. H Cai, VW Zheng, F Zhu, KCC Chang, Z Huang arXiv preprint arXiv:1701.04528, 2017.

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Motif-based convolutional neural network on graphs. A Sankar, X Zhang, KCC Chang arXiv preprint arXiv:1711.05697, 2017.

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Statistical link label modeling for sign prediction: Smoothing sparsity by joining local and global information. A Javari, HX Qiu, E Barzegaran, M Jalili, KCC Chang 2017 IEEE International Conference on Data Mining (ICDM), 1039-1044, 2017.

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Dynamic Model and Motion Control of a Robotic Manipulator. J Kim, K Chang, B Schwarz, AS Lee, SA Gadsden, M Al-Shabi J. Robotics Netw. Artif. Life 4 (2), 138-141, 2017.

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Dynamic modeling and motion control of a three-link robotic manipulator. J Kim, AS Lee, K Chang, B Schwarz, SA Gadsden, M Al-Shabi The 2017 International Conference on Artificial Life and Robotics, 380-383, 2017.

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Cone: Community oriented network embedding. C Yang, H Lu, KCC Chang arXiv preprint arXiv:1709.01554, 2017.

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Sociallens: Searching and browsing communities by content and interaction. H Cai, VW Zheng, P Chen, F Zhu, KCC Chang, Z Huang 2017 IEEE 33rd International Conference on Data Engineering (ICDE), 1397-1398, 2017.

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Ordered Ramsey Numbers of Small Graphs. K Chang .

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ARISE-PIE: A People Information Integration Engine over the Web. VW Zheng, T Hoang, P Chen, Y Fang, X Yang ACM, 2016.

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Semantic proximity search on graphs with metagraph-based learning. Y Fang, W Lin, VW Zheng, M Wu, KCC Chang, XL Li 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 277-288, 2016.

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From node embedding to community embedding. VW Zheng, S Cavallari, H Cai, KCC Chang, E Cambria arXiv preprint arXiv:1610.09950, 2016.

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LiPo battery energy studies for improved flight performance of unmanned aerial systems. K Chang, P Rammos, SA Wilkerson, M Bundy, SA Gadsden Unmanned Systems Technology XVIII 9837, 288-297, 2016.

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Cold-start heterogeneous-device wireless localization. VW Zheng, H Cao, S Gao, A Adhikari, M Lin, K Chang Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016.

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When do-gooders do harm: accountability of the United Nations toward third parties in peace operations. KC Chang Journal of International Peacekeeping 20 (1-2), 86-110, 2016.

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Aerial swarms as asymmetric threats. S Wilkerson, C Korpela, K Chang, A Lee, A Gadsden 2016 International Conference on Unmanned Aircraft Systems (ICUAS), 381-386, 2016.

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Learning to query: Focused web page harvesting for entity aspects. Y Fang, VW Zheng, KCC Chang 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 1002-1013, 2016.

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Regularizing structured classifier with conditional probabilistic constraints for semi-supervised learning. VW Zheng, KCC Chang Proceedings of the 25th ACM International on Conference on Information and ..., 2016.

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Network cartography: Seeing the forest and the trees. J Wang, KCC Chang, H Sundaram arXiv preprint arXiv:1512.06021, 2015.

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Analyte-testing device. K Chang US Patent 8,945,930, 2015.

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System and method for online and mobile memories and greeting service. K Berger, A Asar, K Chang, M Holloway, E Chen, K Salvador US Patent 9,015,580, 2015.

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Dataspread: Unifying databases and spreadsheets. M Bendre, B Sun, D Zhang, X Zhou, KCC Chang, A Parameswaran Proceedings of the VLDB Endowment International Conference on Very Large ..., 2015.

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Mobility profiling for user verification with anonymized location data. M Lin, H Cao, V Zheng, KCC Chang, S Krishnaswamy Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015.

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IntelligShop: enabling intelligent shopping in malls through location-based augmented reality. A Adhikari, VW Zheng, H Cao, M Lin, Y Fang, KCC Chang 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 1604-1607, 2015.

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Ushio: Analyzing news media and public trends in twitter. F Yao, KCC Chang, RH Campbell 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing ..., 2015.

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Scheduled approximation for personalized PageRank with utility-based hub selection. F Zhu, Y Fang, KCC Chang, J Ying The VLDB Journal 24 (5), 655-679, 2015.

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Method for measuring similarity of diverse binary objects comprising bit patterns. Z Levow, K Chang US Patent 8,849,836, 2014.

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Towards a Social Media Analytics Platform: Event Detection and User Profiling for Microblogs. M Gupta, K Chang, R Li .

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User profiling in an ego network. R Li, C Wang, KCC Chang Proceedings of the 23rd international conference on World wide web, 2014.

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Walking forward and backward: Towards graph-based searching and mining. Y Fang University of Illinois at Urbana-Champaign, 2014.

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User profiling in an ego network: co-profiling attributes and relationships. R Li, C Wang, KCC Chang Proceedings of the 23rd international conference on World wide web, 819-830, 2014.

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Privacy Risk in Anonymized Heterogeneous Information Networks. A Zhang, X Xie, KCC Chang, CA Gunter, J Han, XF Wang EDBT, 595-606, 2014.

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Graph-based semi-supervised learning: Realizing pointwise smoothness probabilistically. Y Fang, K Chang, H Lauw International Conference on Machine Learning, 406-414, 2014.

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Towards a social media analytics platform: event detection and user profiling for twitter. M Gupta, R Li, KCC Chang Proceedings of the 23rd International Conference on World Wide Web, 193-194, 2014.

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Unifying learning to rank and domain adaptation: Enabling cross-task document scoring. M Zhou, KC Chang Proceedings of the 20th ACM SIGKDD international conference on Knowledge ..., 2014.

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Binary Document Content Leak Prevention Apparatus, System, and Method of Operation. Z Levow, K Chang, ES Weiss US Patent App. 13/923,921, 2014.

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2013 Index IEEE Transactions on Reliability Vol. 62. AM Abouammoh, F Aguirre, IA Ahmad, H Aliee, S Anastasiadis, JE Angus, ... IEEE Transactions on Reliability 62 (4), 949, 2013.

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Towards social data platform: Automatic topic-focused monitor for twitter stream. R Li, S Wang, KCC Chang Proceedings of the VLDB Endowment 6 (14), 1966-1977, 2013.

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Incremental and accuracy-aware personalized pagerank through scheduled approximation. F Zhu, Y Fang, KCC Chang, J Ying VLDB Endowment 6, 481, 2013.

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Method for measuring similarity of diverse binary objects comprising bit patterns. Z Levow, K Chang US Patent 8,463,797, 2013.

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RoundTripRank: Graph-based proximity with importance and specificity?. Y Fang, KCC Chang, HW Lauw 2013 IEEE 29th International Conference on Data Engineering (ICDE), 613-624, 2013.

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Entity-centric document filtering: boosting feature mapping through meta-features. M Zhou, KCC Chang Proceedings of the 22nd ACM international conference on Information ..., 2013.

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Learning to rank from distant supervision: exploiting noisy redundancy for relational entity search. M Zhou, H Wang, KCC Change 2013 IEEE 29th International Conference on Data Engineering (ICDE), 829-840, 2013.

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Egonet-uiuc: A dataset for ego network research. R Li, KCC Chang arXiv preprint arXiv:1309.4157, 2013.

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Tedas: A twitter-based event detection and analysis system. R Li, KH Lei, R Khadiwala, KCC Chang 2012 IEEE 28Th international conference on data engineering, 1273-1276, 2012.

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Towards social user profiling: unified and discriminative influence model for inferring home locations. R Li, S Wang, H Deng, R Wang, KCC Chang Proceedings of the 18th ACM SIGKDD international conference on Knowledge ..., 2012.

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Multiple location profiling for users and relationships from social network and content. R Li, S Wang, KCC Chang arXiv preprint arXiv:1208.0288, 2012.

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System, method and graphical user interface for managing contacts and calendars within an online card system. K Berger, A Asar, K Chang, K Taylor, T Cheng, A Isaacs US Patent 8,196,038, 2012.

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System for entity search and a method for entity scoring in a linked document database. KCC Chang, T Cheng, X Yan US Patent 8,117,208, 2012.

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Confidence-aware graph regularization with heterogeneous pairwise features. Y Fang, BJ Hsu, KCC Chang Proceedings of the 35th international ACM SIGIR conference on Research and ..., 2012.

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Web-Scale Search-Based Data Extraction and Integration. KC Chang, T Shuck, G Kabra, CAZOODLE INC CHAMPAIGN IL .

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Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. Y Fang, KCC Chang Proceedings of the fourth ACM international conference on Web search and ..., 2011.

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Kostant's Weight Multiplicity Formula and the Fibonacci and Lucas Numbers. K Chang, P Harris, E Insko arXiv preprint arXiv:1111.6648, 2011.

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User profiling in ego network: An attribute and relationship type co-profiling approach. R Li, C Wang, K Chang Proc. of the 23rd Intl. Conf. on World Wide Web (WWW), 675-684, 2011.

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Toward large scale data-aware search: Ranking, indexing, resolution and beyond. T Cheng, KCC Chang 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW ..., 2010.

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DoCQS: A System for Supporting Data-oriented Querying over Web Content. M Zhou, T Cheng, KCC Chang .

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Method and System for Extracting Web Query Interfaces. KCC Chung, Z Zhang, B He US Patent App. 12/433,197, 2010.

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Towards rich query interpretation: walking back and forth for mining query templates. G Agarwal, G Kabra, KCC Chang Proceedings of the 19th international conference on World wide web, 1-10, 2010.

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Beyond pages: supporting efficient, scalable entity search with dual-inversion index. T Cheng, KCC Chang Proceedings of the 13th international conference on extending database ..., 2010.

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Data-oriented content query system: searching for data into text on the web. M Zhou, T Cheng, KCC Chang Proceedings of the third ACM international conference on Web search and data ..., 2010.

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DoCQS: a prototype system for supporting data-oriented content query. M Zhou, T Cheng, KCC Chang Proceedings of the 2010 ACM SIGMOD International Conference on Management of ..., 2010.

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Object search: supporting structured queries in web search engines. K Pham, N Rizzolo, K Small, KCC Chang, D Roth Proceedings of the NAACL HLT 2010 Workshop on Semantic Search, 44-52, 2010.

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Towards rich query interpretation: Back and forth on mining query templates. G Agarwal, G Kabra, KCC Chang Proceedings of the 19th International Conference on World Wide Web (WWW 2010 ..., 2010.

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AIDE: ad-hoc intents detection engine over query logs. Y Jiang, HT Yang, KCC Chang, YS Chen Proceedings of the 2009 ACM SIGMOD International Conference on Management of ..., 2009.

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Three Improved Codebook Searching Algorithms for Image Compression Using Vector Quantizer. CC Chang, CL Kuo, CC Chen International Journal of Computers and Applications 31 (1), 16-22, 2009.

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Integration at Web-Scale: Scalable Agent Technology for Enabling Structured Vertical Search. G Kabra, K Chang .

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Method and system for extracting web query interfaces. KC Chang, Z Zhang, B He US Patent 7,552,116, 2009.

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Probabilistic top-k and ranking-aggregate queries. MA Soliman, IF Ilyas, KCC Chang ACM Transactions on Database Systems (TODS) 33 (3), 1-54, 2008.

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Integrating web query results: holistic schema matching. SL Chuang, KCC Chang Proceedings of the 17th ACM conference on Information and knowledge ..., 2008.

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Trustworthy keyword search for compliance storage. S Mitra, M Winslett, WW Hsu, KCC Chang The VLDB journal 17, 225-242, 2008.

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Contextual Indexing and Joining: Supporting Efficient, Scalable Entity Search. T Cheng, KCC Chang .

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APWeb/WAIM 2007 workshop chair's message. KC Chang Lecture Notes in Computer Science (including subseries Lecture Notes in ..., 2007.

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Accessing the deep web. B He, M Patel, Z Zhang, KCC Chang Communications of the ACM 50 (5), 94-101, 2007.

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EntityRank: searching entities directly and holistically. T Cheng, X Yan, KCC Chang Proceedings of the 33rd international conference on Very large data bases ..., 2007.

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Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. T Cheng, KCC Chang University of Illinois at Urbana-Champaign, 2007.

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Progressive and selective merge: computing top-k with ad-hoc ranking functions. D Xin, J Han, KC Chang Proceedings of the 2007 ACM SIGMOD international conference on Management of ..., 2007.

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Supporting entity search: a large-scale prototype search engine. T Cheng, X Yan, KCC Chang Proceedings of the 2007 ACM SIGMOD international conference on Management of ..., 2007.

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Context-aware wrapping: Synchronized data extraction. SL Chuang, KCC Chang, CX Zhai Proceedings of the 33rd international conference on Very large data bases ..., 2007.

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Supporting ranking and clustering as generalized order-by and group-by. C Li, M Wang, L Lim, H Wang, KCC Chang Proceedings of the 2007 ACM SIGMOD International Conference on Management of ..., 2007.

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Optimizing top-k queries for middleware access: A unified cost-based approach. S Hwang, KCC Chang ACM Transactions on Database Systems (TODS) 32 (1), 5-es, 2007.

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Probe minimization by schedule optimization: Supporting top-k queries with expensive predicates. S Hwang, KCC Chang IEEE Transactions on Knowledge and Data Engineering 19 (5), 646-662, 2007.

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Enabling soft queries for data retrieval. H Yu, S Hwang, KCC Chang Information Systems 32 (4), 560-574, 2007.

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URank: formulation and efficient evaluation of top-k queries in uncertain databases. MA Soliman, IF Ilyas, KCC Chang Proceedings of the 2007 ACM SIGMOD international conference on Management of ..., 2007.

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Exploring the deep web: Associativity search over schematic metadata. G Kabra, Z Zhang, KCC Chang, L Lim, M Wang, Y Chang University of Illinois at Urbana-Champaign, 2006.

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Top-k query processing in uncertain databases. MA Soliman, IF Ilyas, KCC Chang 2007 IEEE 23rd international conference on data engineering, 896-905, 2006.

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Automatic complex schema matching across web query interfaces: A correlation mining approach. B He, KCC Chang ACM Transactions on Database Systems (TODS) 31 (1), 346-395, 2006.

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Supporting ad-hoc ranking aggregates. C Li, K Chen-Chuan Chang, IF Ilyas Proceedings of the 2006 ACM SIGMOD international conference on Management of ..., 2006.

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Boolean+ ranking: querying a database by k-constrained optimization. Z Zhang, S Hwang, KCC Chang, M Wang, CA Lang, Y Chang Proceedings of the 2006 ACM SIGMOD international conference on Management of ..., 2006.

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Accessing the web: From search to integration. KCC Chang, J Cho Proceedings of the 2006 ACM SIGMOD international conference on Management of ..., 2006.

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Network system challenges in selective sharing and verification for personal, social, and urban-scale sensing applications. MB Srivastava, JA Burke, M Hansen, A Parker, S Reddy, T Schmid, ... .

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Collaborative wrapping: A turbo framework for web data extraction. SL Chuang, KCC Chang, CX Zhai 2007 IEEE 23rd International Conference on Data Engineering, 1261-1262, 2006.

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Dewex: An exploration facility for enabling the deep web integration. G Kabra, Z Zhang, KCC Chang 2007 IEEE 23rd International Conference on Data Engineering, 1511-1512, 2006.

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A structure-driven yield-aware web form crawler: building a database of online databases. B He, C Li, D Killian, M Patel, Y Tseng, KCC Chang .

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Object matching for information integration: a profiler-based approach. B He, KC Chang ACM Transactions on Database Systems 31, 1-45, 2006.

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RankSQL: query algebra and optimization for relational top-k queries. C Li, KCC Chang, IF Ilyas, S Song Proceedings of the 2005 ACM SIGMOD international conference on Management of ..., 2005.

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Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. KCC Chang, B He, Z Zhang CIDR 5, 44-55, 2005.

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Light-weight domain-based form assistant: querying web databases on the fly. Z Zhang, B He, KCC Chang Proceedings of the 31st international conference on Very large data bases ..., 2005.

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Making holistic schema matching robust: an ensemble approach. B He, KCC Chang Proceedings of the eleventh ACM SIGKDD international conference on Knowledge ..., 2005.

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Metaquerier: querying structured web sources on-the-fly. B He, Z Zhang, KCC Chang Proceedings of the 2005 ACM SIGMOD international conference on Management of ..., 2005.

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Query routing: Finding ways in the maze of the DeepWeb. G Kabra, C Li, KC Chang International Workshop on Challenges in Web Information Retrieval and ..., 2005.

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RankSQL: supporting ranking queries in relational database management systems. C Li, MA Soliman, KCC Chang, IF Ilyas Proceedings of the 31st international conference on Very large data bases ..., 2005.

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Optimizing access cost for top-k queries over Web sources: A unified cost-based approach. S Hwang, KCC Chang 21st International Conference on Data Engineering (ICDE'05), 188-189, 2005.

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Rankfp: A framework for supporting rank formulation and processing. H Yu, S Hwang, KCC Chang 21st International Conference on Data Engineering (ICDE'05), 514-515, 2005.

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Towards building a metaquerier: Extracting and matching web query interfaces. B He, Z Zhang, KCC Chang 21st International Conference on Data Engineering (ICDE'05), 1098-1099, 2005.

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Efficient processing of ad-hoc top-k aggregate queries in OLAP. C Li, KCC Chang, IF Ilyas Technical Report UIUCDCS, 2005.

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Enabling Ad-hoc Ranking for Data Retrieval. H Yu, S Hwang, KCC Chang ICDE, 514-515, 2005.

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Organizing Structured Web Sources by Query Schemas. B He, T Tao, KCC Chang CIKM 2004: Proceedings of the Thirteenth ACM Conference on Information ..., 2004.

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Weaving Entities into Relations: From Page Retrieval to Relation Mining on the Web. JM Kelley, KCC Chang, T Cheng, SL Chuang, W Davis .

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Light-weight Domain-based Form Assistant: Querying Databases on the Web. Z Zhang, B He, KCC Chang .

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Structured databases on the web: Observations and implications. KCC Chang, B He, C Li, M Patel, Z Zhang Acm Sigmod Record 33 (3), 61-70, 2004.

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Optimal multimodal fusion for multimedia data analysis. JRS Yi Wu, Edward Y Chang, Kevin Chen-Chuan Chang Proceedings of the 12th annual ACM international conference on Multimedia ..., 2004.

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PEBL: Web page classification without negative examples. H Yu, J Han, KCC Chang IEEE Transactions on Knowledge and Data Engineering 16 (1), 70-81, 2004.

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Understanding web query interfaces: Best-effort parsing with hidden syntax. Z Zhang, B He, KCC Chang Proceedings of the 2004 ACM SIGMOD international conference on Management of ..., 2004.

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Discovering complex matchings across web query interfaces: a correlation mining approach. B He, KCC Chang, J Han Proceedings of the tenth ACM SIGKDD international conference on Knowledge ..., 2004.

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Special issue on web content mining. B Liu, K Chen-Chuan-Chang Acm Sigkdd explorations newsletter 6 (2), 1-4, 2004.

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Organizing structured web sources by query schemas: a clustering approach. B He, T Tao, KCC Chang Proceedings of the thirteenth ACM international conference on Information ..., 2004.

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Clustering structured web sources: A schema-based, model-differentiation approach. B He, T Tao, KCC Chang International Conference on Extending Database Technology, 536-546, 2004.

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A holistic paradigm for large scale schema matching. B He, KCC Chang ACM SIGMOD Record 33 (4), 20-25, 2004.

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Knocking the door to the deep web: Integrating web query interfaces. B He, Z Zhang, KCC Chang Proceedings of the 2004 ACM SIGMOD international conference on Management of ..., 2004.

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Metaquerier over the deep web: Shallow integration across holistic sources. KCC Chang, B He, Z Zhang In Proceedings of the VLDB Workshop on Information Integration on the Web, 2004.

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Mining semantics for large scale integration on the web: evidences, insights, and challenges. KCC Chang, B He, Z Zhang ACM SIGKDD Explorations Newsletter 6 (2), 67-76, 2004.

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On-the-fly constraint mapping across web query interfaces. Z Zhang, B He, KCC Chang Proceedings of the VLDB Workshop on Information Integration on the Web (VLDB ..., 2004.

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Mining complex matchings across web query interfaces. B He, KCC Chang, J Han Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining ..., 2004.

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Making holistic schema matching robust: An ensemble framework with sampling and voting. B He, KCC Chang Technical Report UIUCDCS, 2004.

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Discovering Attribute Locality across the Deep Web: an Ordering-Based Approach. C Li, KCC Chang UIUC Technical Report, 2003.

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Statistical schema matching across web query interfaces. B He, KCC Chang Proceedings of the 2003 ACM SIGMOD international conference on Management of ..., 2003.

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The UIUC web integration repository. KCC Chang, B He, C Li, Z Zhang Computer Science Department, University of Illinois at Urbana-Champaign ..., 2003.

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Database research at the University of Illinois at Urbana-Champaign. M Winslett, K Chang, A Doan, J Han, CX Zhai, Y Zhou ACM SIGMOD Record 31 (3), 97-102, 2002.

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Minimal probing. KCC Chang, S Hwang Proceedings of the 2002 ACM SIGMOD international conference on Management of ..., 2002.

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PEBL: positive example based learning for web page classification using SVM. H Yu, J Han, KCC Chang Proceedings of the eighth ACM SIGKDD international conference on Knowledge ..., 2002.

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Minimal probing: supporting expensive predicates for top-k queries. KCC Chang, S Hwang Proceedings of the 2002 ACM SIGMOD international conference on Management of ..., 2002.

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Data mining for web intelligence. J Han, KCC Chang Computer 35 (11), 64-70, 2002.

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Heterogeneous learner for Web page classification. H Yu, KCC Chang, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 538-545, 2002.

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Statistical schema integration across the deep web. B He, KC Chang University of Illinois at Urbana-Champaign, 2002.

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Approximate query mapping: Accounting for translation closeness. KCC Chang, H Garcia-Molina The VLDB Journal 10, 155-181, 2001.

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NBDL: a CIS framework for NSDL. J Futrelle, SS Chen, KC Chang Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries ..., 2001.

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Query and data mapping across heterogeneous information sources. KCC Chang Stanford University, 2001.

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An experimental approach to studying Ramanujan graphs. K Chang, MJ Seminar Unpublished Undergraduate Thesis, see Princeton Website, 2001.

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Approximate query translation across heterogeneous information sources. CCK Chang, H Garcia-Molina architecture 1, 2, 2000.

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Building the InfoBus: A Review of Technical Choices in the Stanford Digital Library Project. A Paepcke, M Baldonado, CCK Chang, S Cousins, H Garcia-Molina IEEE Computer 32 (2), 80-87, 2000.

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PowerBookmarks: a system for personalizable Web information organization, sharing, and management. WS Li, Q Vu, E Chang, D Agrawal, K Hirata, S Mukherjea, YL Wu, C Bufi, ... Proceedings of the 1999 ACM SIGMOD international conference on Management of ..., 1999.

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Mind your vocabulary: Query mapping across heterogeneous information sources. CCK Chang, H Garcia-Molina Proceedings of the 1999 ACM SIGMOD international conference on Management of ..., 1999.

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Predicate rewriting for translating Boolean queries in a heterogeneous information system. CCK Chang, H Garcia-Molina, A Paepcke ACM Transactions on Information Systems (TOIS) 17 (1), 1-39, 1999.

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Using distributed objects to build the stanford digital library infobus. A Paepcke, MQW Baldonado, CCK Chang, S Cousins, H Garcia-Molina Computer 32 (2), 80-87, 1999.

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Approximate Query Translation (Extended version). CCK Chang, H Garcia-Molina Technical Report SIDL-WP-1999-0115, http://dlib2. stanford. edu/-cgi-bin/get ..., 1999.

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Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System. C Chang, H Garcia-Molina, A Paepcke Stanford University, 1998.

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Interoperability for digital libraries worldwide. A Paepcke, CCK Chang, T Winograd, H Garci a-Molina Communications of the ACM 41 (4), 33-42, 1998.

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Interoperability for digital libraries worldwide. HGM Andreas Paepcke, Chen-Chuan K Chang, Terry Winograd Communications of the ACM 41 (4), 33-42, 1998.

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The Stanford InfoBus and its service layers: Augmenting the Internet with higher-level information management protocols. M Ro scheisen, M Baldonado, K Chang, L Gravano, S Ketchpel, ... Digital Libraries in Computer Science: The MeDoc Approach, 213-230, 1998.

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Conjunctive constraint mapping for data translation. CCK Chang, H Garcia-Molina Proceedings of the third ACM conference on Digital libraries, 49-58, 1998.

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Interoperability for digital libraries: problems and directions. A Paepcke, CCK Chang, H Garcia-Molina, T Winograd Retrieved September 5 (2014), 1998-24, 1998.

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The Stanford digital library metadata architecture. M Baldonado, CCK Chang, L Gravano, A Paepcke International journal on digital libraries 1, 108-121, 1997.

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STARTS: Stanford proposal for Internet meta-searching. L Gravano, CCK Chang, H Garcia-Molina, A Paepcke Proceedings of the 1997 ACM SIGMOD international conference on Management of ..., 1997.

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Metadata for digital libraries: Architecture and design rationale. M Baldonado, CCK Chang, L Gravano, A Paepcke Proceedings of the second ACM international conference on Digital libraries ..., 1997.

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Evaluating the cost of boolean query mapping. CCK Chang, H Garcia-Molina Proceedings of the second ACM international conference on Digital libraries ..., 1997.

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Starts. L Gravano, CCK Chang, H Garcia-Molina, A Paepcke ACM SIGMOD Record 26 (2), 207-218, 1997.

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Boolean query mapping across heterogeneous information sources. KCC Chang, H Garcia-Molina, A Paepcke IEEE Transactions on Knowledge and Data Engineering 8 (4), 515-521, 1996.

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Boolean query mapping across heterogeneous information sources (extended version). CCK Chang, H Garcia-Molina, A Paepcke IEEE Transactions on Knowledge & Data Engineering 8 (4), 1996.

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Mind your vocabulary: Query mapping across heterogeneous information sources (extended version). CCK Chang, H Garc a-Molina Technical Report SIDL-WP-1998-0095, Stanford Univ., 1999. http://www-diglib ..., 1994.

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On wafer-packing problems. DHC Du, I Lin, KC Chang IEEE transactions on computers 42 (11), 1382-1388, 1993.

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Efficient algorithms for layer assignment problem. KC Chang, DHC Du IEEE Transactions on Computer-Aided Design of Integrated Circuits and ..., 1987.

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Mathematical properties and asymptotic expansion of the generalized quark statistical function. KC Chang, CK Chew, TY Liang, KK Phua, HB Low Journal of Mathematical Physics 24 (1), 173-176, 1983.

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DJ Christensen and RS Pierce. Free products of -distributive Boolean algebras. Mathematica Scandinavica, vol. 7 (1959), pp. 81-105. CC Chang The Journal of Symbolic Logic 27 (1), 99-100, 1962.

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R. S. Pierce. Distributivity and the normal completion of Boolean algebras. Pacific journal of mathematics, vol. 8 (1958), pp. 133-140. CC Chang The Journal of Symbolic Logic 24 (3), 251-251, 1959.

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RS Pierce. A note on complete Boolean algebras. Proceedings of the American Mathematical Society, vol. 9 (1958), pp. 892-896. CC Chang The Journal of Symbolic Logic 24 (3), 251-252, 1959.

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Cazoodle Inc. KC Chang, SD Rights .

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Metagraph Representation on Heterogeneous Graphs. Y Fang, W Lin, VW Zheng, M Wu, KCC Chang, XL Li .

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RoundTripRank: Graph-based Proximity with Importance and Specificity.(2013). Y FANG, KCC CHANG, HW LAUW 2013 IEEE International Conference on Data Engineering ICDE, 8-12, 0.

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On Optimizations of Cayley Graphs. K Chang, A Chen, L Zhang .

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LI, Xiao-Li. Metagraph-based learning on heterogeneous graphs.(2019). Y FANG, W LIN, VW ZHENG, M WU, J SHI, K CHANG IEEE Transactions on Knowledge and Data Engineering, 1-15, 0.

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Supporting Ranking and Clustering as Supporting flanking and Clustering as Generalized Order-By and Group-By. K Chang .

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"It'sa grid, it'sa form, it'sa spreadsheet!": Revisiting Sensemaking with Spreadsheets for Presentation and Data Analysis. P Yang, S Rahman, M Bendre, JS Park, KCC Chang, K Karahalios, ... .

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Directed Data Management: A New Frontier in Database Usability. M Bendre, S Rahman, T Wattanawaroon, K Mack, Y Lu, KCC Chang, ... .

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Beyond Pages: Supporting Efficient, Scalable Entity Search. T Cheng, KCC Chang .

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PEBL: Web Page Classification without Negative Examples. J Han, KCC Chang .

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Motion Capture Control of a Nano Quadrotor. K Chang, JH Kim, SA Wilkerson, SA Gadsden .

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Using Distributed Objects to Build the Stanford Digital Library Infobus. Q Michelle, K Chang, S Cousins .

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STARTS: Stanford Proposal for Internet Meta-Searching. A Paepcke .

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Editorial issue:" Special Issue on Web Content Mining". B Liu, KCC Chang SIGKDD Explorations 6 (2), 0.

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Large Scale Integration over the Deep Web: Frontier, State of the Art, and Research Directions. KC Chang, B He .

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Integration at Web-scale: Cazoodle's Agent Technology for Enabling Vertical Search. KCC Chang, G Kabra, Q Le, Y Tseng Programme Chairs, 0.

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Message from The Second International Workshop on Challenges in Web Information Retrieval and Integration (WIRI 2006) Co-Chairs. J Adachi, KC Chang, W Shan, A Vakali .

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Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically (Supplementary Material). Y Fang, KCC Chang, HW Lauw .

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What Shape Research?. KC Chang .

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LI, Xiao-Li. Semantic proximity search on graphs with metagraph-based learning.(2016). Y FANG, W LIN, VW ZHENG, M WU, KCC CHANG 2016 IEEE 32nd International Conference on Data Engineering ICDE: May, 16-20, 0.

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Scaling up to billions of cells with dataspread: Supporting large spreadsheets with databases. M Bendre, V Venkataraman, X Zhou, KCC Chang, A Parameswaran Tech. Rep, 0.

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