Research
Co Chairs
Large Language Models, Large Language Model
Data Science
ChatGPT, Chatgpt
Deep Reinforcement Learning
Online Social Media
Social Network, Social Networks, Social Networking
Personal Information
Answering Questions
Biomedical Domain
Complex Questions
Context Learning
E Commerce
Machine Learning
Self Evaluation
Social Media Data
Topic Modeling, Topic Model
Truthful Answers
New Approach, New Approaches
Semi Supervised Learning
Active Surveillance
Convolutional Networks
Gene Expression
Graph Data
Heterogeneous Network, Heterogeneous Networks
Large Networks
Role Based
User Profiling, User Profile
Location Data
User Verification
Community Detection
Dynamic Model, Dynamic Modeling, Dynamics Modeling, Dynamical Model, Dynamic Models
Motion Control
Entity Search
Graphical User Interface
Large Scale Integration
Adverse Drug Events
Chronic Rhinosinusitis
Comprehensive Survey
Holistic Integration
Inflammatory Endotypes
Online Forums
Spreadsheet Software
Event Detection
Aerial Swarms
Peace Operations
Third Parties, Third Party
United Nations
Unmanned Aerial Systems, Unmanned Aerial System
Web Page
Active Learning
Community Profiling
Convolutional Neural Network, Convolutional Neural Networks
Individual Trust
Learning Community, Learning Communities
Upper Bounds
Heterogeneous Information
Supporting Data
Web Scale
Agent Technology
Image Compression
Prototype System
Web Content
Data Retrieval
Data Extraction
Data Analysis
Database Research
Experimental Approach, Experimental Approaches
Information Integration, Information Integrity
New Frontier, New Frontiers
Online Databases
Technical Choices
Efficient Processing
Ensemble Approach
Relational Database Management Systems
Querying Databases
Distributed Objects
Extended Version
Design Rationale
Data Translation
Management Protocols
Efficient Algorithms
Asymptotic Expansion
List of Publications (273)
In 2023
273
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.
Found on Publication Page
272
Expository Text Generation: Imitate, Retrieve, Paraphrase. N Balepur, J Huang, KCC Chang arXiv preprint arXiv:2305.03276, 2023.
Found on Publication Page
271
Unsupervised Open-domain Keyphrase Generation. LT Do, PS Akash, KCC Chang arXiv preprint arXiv:2306.10755, 2023.
Found on Publication Page
270
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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269
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.
Found on Publication Page
268
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.
Found on Publication Page
267
Why does chatgpt fall short in providing truthful answers. S Zheng, J Huang, KCC Chang ArXiv preprint, abs/2304.10513, 2023.
Found on Publication Page
266
Cascade speculative drafting for even faster llm inference. Z Chen, X Yang, J Lin, C Sun, J Huang, KCC Chang arXiv preprint arXiv:2312.11462, 2023.
Found on Publication Page
265
Descriptive knowledge graph in biomedical domain. K Zhu, J Huang, KCC Chang arXiv preprint arXiv:2310.11681, 2023.
Found on Publication Page
264
Long-form Question Answering: An Iterative Planning-Retrieval-Generation Approach. PS Akash, KK Roy, L Popa, KCC Chang arXiv preprint arXiv:2311.09383, 2023.
Found on Publication Page
263
A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. D Ma, K Chen-Chuan Chang, Y Chen, X Lv, L Shen Proceedings of the 32nd ACM International Conference on Information and ..., 2023.
Found on Publication Page
262
Citation: A key to building responsible and accountable large language models. J Huang, KCC Chang arXiv preprint arXiv:2307.02185, 2023.
Found on Publication Page
261
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.
Found on Publication Page
260
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.
Found on Publication Page
259
Let the Pretrained Language Models" Imagine" for Short Texts Topic Modeling. PS Akash, J Huang, KCC Chang arXiv preprint arXiv:2310.15420, 2023.
Found on Publication Page
257
Ask To The Point: Open-Domain Entity-Centric Question Generation. Y Liu, J Huang, KCC Chang arXiv preprint arXiv:2310.14126, 2023.
Found on Publication Page
256
TopicAdapt-An Inter-Corpora Topics Adaptation Approach. PS Akash, T Das, KCC Chang arXiv preprint arXiv:2310.04978, 2023.
Found on Publication Page
255
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.
Found on Publication Page
254
Why Does ChatGPT Fall Short in Answering Questions Faithfully?. S Zheng, J Huang, KCC Chang arXiv preprint arXiv:2304.10513, 2023.
Found on Publication Page
In 2022
253
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. C Liu, J Huang, K Zhu, KCC Chang arXiv preprint arXiv:2212.10545, 2022.
Found on Publication Page
252
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.
Found on Publication Page
251
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.
Found on Publication Page
250
Coordinated Topic Modeling. PS Akash, J Huang, KCC Chang arXiv preprint arXiv:2210.08559, 2022.
Found on Publication Page
249
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.
Found on Publication Page
248
Exploring Variational Graph Auto-Encoders for Extract Class Refactoring Recommendation. PS Akash, KCC Chang arXiv preprint arXiv:2203.08787, 2022.
Found on Publication Page
247
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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246
Towards reasoning in large language models: A survey. J Huang, KCC Chang arXiv preprint arXiv:2212.10403, 2022.
Found on Publication Page
245
Are Large Pre-Trained Language Models Leaking Your Personal Information?. J Huang, H Shao, KCC Chang arXiv preprint arXiv:2205.12628, 2022.
Found on Publication Page
244
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.
Found on Publication Page
243
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.
Found on Publication Page
242
Ver: Learning natural language representations for verbalizing entities and relations. J Huang, KCC Chang arXiv preprint arXiv:2211.11093, 2022.
Found on Publication Page
241
Can Language Models Be Specific? How?. J Huang, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2210.05159, 2022.
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In 2021
240
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.
Found on Publication Page
239
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.
Found on Publication Page
238
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.
Found on Publication Page
237
Open relation modeling: Learning to define relations between entities. J Huang, KCC Chang, J Xiong, W Hwu arXiv preprint arXiv:2108.09241, 2021.
Found on Publication Page
236
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.
Found on Publication Page
235
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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234
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.
Found on Publication Page
233
CDM: combining extraction and generation for definition modeling. J Huang, H Shao, KCC Chang ArXiv abs/2111.07267, 2021.
Found on Publication Page
In 2020
232
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.
Found on Publication Page
231
Weakly supervised attention for hashtag recommendation using graph data. A Javari, Z He, Z Huang, R Jeetu, K Chen-Chuan Chang Proceedings of The Web Conference 2020, 1038-1048, 2020.
Found on Publication Page
230
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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229
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.
Found on Publication Page
228
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.
Found on Publication Page
227
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.
Found on Publication Page
226
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.
Found on Publication Page
225
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.
Found on Publication Page
224
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.
Found on Publication Page
223
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.
Found on Publication Page
222
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.
Found on Publication Page
221
Exploring semantic capacity of terms. J Huang, Z Wang, KCC Chang, W Hwu, J Xiong arXiv preprint arXiv:2010.01898, 2020.
Found on Publication Page
In 2019
220
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.
Found on Publication Page
219
Mining Hidden Populations through Attributed Search. S Kumar, H Gao, C Wang, H Sundaram, KCC Chang arXiv preprint arXiv:1905.04505, 2019.
Found on Publication Page
218
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness [Supplementary Materials]. C Yang, K Chang .
Found on Publication Page
217
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.
Found on Publication Page
216
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.
Found on Publication Page
215
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.
Found on Publication Page
214
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.
Found on Publication Page
213
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.
Found on Publication Page
212
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.
Found on Publication Page
211
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.
Found on Publication Page
210
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.
Found on Publication Page
209
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.
Found on Publication Page
208
Extending spreadsheets to support seamless navigation at scale. S Rahman, M Bendre, Y Liu, S Zhu, Z Su, K Karahalios, A Parameswaran .
Found on Publication Page
In 2018
207
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.
Found on Publication Page
206
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.
Found on Publication Page
205
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.
Found on Publication Page
204
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.
Found on Publication Page
203
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.
Found on Publication Page
202
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.
Found on Publication Page
201
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.
Found on Publication Page
200
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.
Found on Publication Page
199
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.
Found on Publication Page
198
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.
Found on Publication Page
197
Nonintrusive smartphone user verification using anonymized multimodal data. H Cao, KCC Chang IEEE Transactions on Knowledge and Data Engineering 31 (3), 479-492, 2018.
Found on Publication Page
196
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.
Found on Publication Page
In 2017
194
Upper Bounds for Ordered Ramsey Numbers of Small 1-Orderings. K Chang arXiv preprint arXiv:1702.01878, 2017.
Found on Publication Page
193
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, ... .
Found on Publication Page
192
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.
Found on Publication Page
191
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.
Found on Publication Page
190
Towards context-aware social recommendation via individual trust. J Li, C Chen, H Chen, C Tong Knowledge-Based Systems 127, 58-66, 2017.
Found on Publication Page
189
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.
Found on Publication Page
188
Active learning for graph embedding. H Cai, VW Zheng, KCC Chang arXiv preprint arXiv:1705.05085, 2017.
Found on Publication Page
187
From community detection to community profiling. H Cai, VW Zheng, F Zhu, KCC Chang, Z Huang arXiv preprint arXiv:1701.04528, 2017.
Found on Publication Page
186
Motif-based convolutional neural network on graphs. A Sankar, X Zhang, KCC Chang arXiv preprint arXiv:1711.05697, 2017.
Found on Publication Page
185
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.
Found on Publication Page
184
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.
Found on Publication Page
183
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.
Found on Publication Page
182
Cone: Community oriented network embedding. C Yang, H Lu, KCC Chang arXiv preprint arXiv:1709.01554, 2017.
Found on Publication Page
181
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.
Found on Publication Page
In 2016
179
ARISE-PIE: A People Information Integration Engine over the Web. VW Zheng, T Hoang, P Chen, Y Fang, X Yang ACM, 2016.
Found on Publication Page
178
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.
Found on Publication Page
177
From node embedding to community embedding. VW Zheng, S Cavallari, H Cai, KCC Chang, E Cambria arXiv preprint arXiv:1610.09950, 2016.
Found on Publication Page
176
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.
Found on Publication Page
175
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.
Found on Publication Page
174
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.
Found on Publication Page
173
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.
Found on Publication Page
172
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.
Found on Publication Page
171
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.
Found on Publication Page
In 2015
170
Network cartography: Seeing the forest and the trees. J Wang, KCC Chang, H Sundaram arXiv preprint arXiv:1512.06021, 2015.
Found on Publication Page
168
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.
Found on Publication Page
167
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.
Found on Publication Page
166
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.
Found on Publication Page
165
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.
Found on Publication Page
164
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.
Found on Publication Page
163
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.
Found on Publication Page
In 2014
162
Method for measuring similarity of diverse binary objects comprising bit patterns. Z Levow, K Chang US Patent 8,849,836, 2014.
Found on Publication Page
161
Towards a Social Media Analytics Platform: Event Detection and User Profiling for Microblogs. M Gupta, K Chang, R Li .
Found on Publication Page
160
User profiling in an ego network. R Li, C Wang, KCC Chang Proceedings of the 23rd international conference on World wide web, 2014.
Found on Publication Page
159
Walking forward and backward: Towards graph-based searching and mining. Y Fang University of Illinois at Urbana-Champaign, 2014.
Found on Publication Page
158
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.
Found on Publication Page
157
Privacy Risk in Anonymized Heterogeneous Information Networks. A Zhang, X Xie, KCC Chang, CA Gunter, J Han, XF Wang EDBT, 595-606, 2014.
Found on Publication Page
156
Graph-based semi-supervised learning: Realizing pointwise smoothness probabilistically. Y Fang, K Chang, H Lauw International Conference on Machine Learning, 406-414, 2014.
Found on Publication Page
155
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.
Found on Publication Page
154
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.
Found on Publication Page
153
Binary Document Content Leak Prevention Apparatus, System, and Method of Operation. Z Levow, K Chang, ES Weiss US Patent App. 13/923,921, 2014.
Found on Publication Page
In 2013
152
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.
Found on Publication Page
151
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.
Found on Publication Page
150
Incremental and accuracy-aware personalized pagerank through scheduled approximation. F Zhu, Y Fang, KCC Chang, J Ying VLDB Endowment 6, 481, 2013.
Found on Publication Page
149
Method for measuring similarity of diverse binary objects comprising bit patterns. Z Levow, K Chang US Patent 8,463,797, 2013.
Found on Publication Page
148
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.
Found on Publication Page
147
Entity-centric document filtering: boosting feature mapping through meta-features. M Zhou, KCC Chang Proceedings of the 22nd ACM international conference on Information ..., 2013.
Found on Publication Page
146
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.
Found on Publication Page
145
Egonet-uiuc: A dataset for ego network research. R Li, KCC Chang arXiv preprint arXiv:1309.4157, 2013.
Found on Publication Page
In 2012
144
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.
Found on Publication Page
143
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.
Found on Publication Page
142
Multiple location profiling for users and relationships from social network and content. R Li, S Wang, KCC Chang arXiv preprint arXiv:1208.0288, 2012.
Found on Publication Page
141
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.
Found on Publication Page
140
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.
Found on Publication Page
139
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.
Found on Publication Page
In 2011
138
Web-Scale Search-Based Data Extraction and Integration. KC Chang, T Shuck, G Kabra, CAZOODLE INC CHAMPAIGN IL .
Found on Publication Page
137
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.
Found on Publication Page
136
Kostant's Weight Multiplicity Formula and the Fibonacci and Lucas Numbers. K Chang, P Harris, E Insko arXiv preprint arXiv:1111.6648, 2011.
Found on Publication Page
135
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.
Found on Publication Page
In 2010
134
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.
Found on Publication Page
133
DoCQS: A System for Supporting Data-oriented Querying over Web Content. M Zhou, T Cheng, KCC Chang .
Found on Publication Page
132
Method and System for Extracting Web Query Interfaces. KCC Chung, Z Zhang, B He US Patent App. 12/433,197, 2010.
Found on Publication Page
131
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.
Found on Publication Page
130
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.
Found on Publication Page
129
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.
Found on Publication Page
128
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.
Found on Publication Page
127
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.
Found on Publication Page
126
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.
Found on Publication Page
In 2009
125
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.
Found on Publication Page
124
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.
Found on Publication Page
123
Integration at Web-Scale: Scalable Agent Technology for Enabling Structured Vertical Search. G Kabra, K Chang .
Found on Publication Page
122
Method and system for extracting web query interfaces. KC Chang, Z Zhang, B He US Patent 7,552,116, 2009.
Found on Publication Page
In 2008
121
Probabilistic top-k and ranking-aggregate queries. MA Soliman, IF Ilyas, KCC Chang ACM Transactions on Database Systems (TODS) 33 (3), 1-54, 2008.
Found on Publication Page
120
Integrating web query results: holistic schema matching. SL Chuang, KCC Chang Proceedings of the 17th ACM conference on Information and knowledge ..., 2008.
Found on Publication Page
119
Trustworthy keyword search for compliance storage. S Mitra, M Winslett, WW Hsu, KCC Chang The VLDB journal 17, 225-242, 2008.
Found on Publication Page
In 2007
118
Contextual Indexing and Joining: Supporting Efficient, Scalable Entity Search. T Cheng, KCC Chang .
Found on Publication Page
117
APWeb/WAIM 2007 workshop chair's message. KC Chang Lecture Notes in Computer Science (including subseries Lecture Notes in ..., 2007.
Found on Publication Page
116
Accessing the deep web. B He, M Patel, Z Zhang, KCC Chang Communications of the ACM 50 (5), 94-101, 2007.
Found on Publication Page
115
EntityRank: searching entities directly and holistically. T Cheng, X Yan, KCC Chang Proceedings of the 33rd international conference on Very large data bases ..., 2007.
Found on Publication Page
114
Entity Search Engine: Towards Agile Best-Effort Information Integration over the Web. T Cheng, KCC Chang University of Illinois at Urbana-Champaign, 2007.
Found on Publication Page
113
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.
Found on Publication Page
112
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.
Found on Publication Page
111
Context-aware wrapping: Synchronized data extraction. SL Chuang, KCC Chang, CX Zhai Proceedings of the 33rd international conference on Very large data bases ..., 2007.
Found on Publication Page
110
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.
Found on Publication Page
109
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.
Found on Publication Page
108
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.
Found on Publication Page
107
Enabling soft queries for data retrieval. H Yu, S Hwang, KCC Chang Information Systems 32 (4), 560-574, 2007.
Found on Publication Page
106
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.
Found on Publication Page
In 2006
105
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.
Found on Publication Page
104
Top-k query processing in uncertain databases. MA Soliman, IF Ilyas, KCC Chang 2007 IEEE 23rd international conference on data engineering, 896-905, 2006.
Found on Publication Page
103
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.
Found on Publication Page
102
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.
Found on Publication Page
101
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.
Found on Publication Page
100
Accessing the web: From search to integration. KCC Chang, J Cho Proceedings of the 2006 ACM SIGMOD international conference on Management of ..., 2006.
Found on Publication Page
99
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, ... .
Found on Publication Page
98
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.
Found on Publication Page
97
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.
Found on Publication Page
96
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 .
Found on Publication Page
95
Object matching for information integration: a profiler-based approach. B He, KC Chang ACM Transactions on Database Systems 31, 1-45, 2006.
Found on Publication Page
In 2005
94
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.
Found on Publication Page
93
Toward Large Scale Integration: Building a MetaQuerier over Databases on the Web. KCC Chang, B He, Z Zhang CIDR 5, 44-55, 2005.
Found on Publication Page
92
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.
Found on Publication Page
91
Making holistic schema matching robust: an ensemble approach. B He, KCC Chang Proceedings of the eleventh ACM SIGKDD international conference on Knowledge ..., 2005.
Found on Publication Page
90
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.
Found on Publication Page
89
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.
Found on Publication Page
88
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.
Found on Publication Page
87
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.
Found on Publication Page
86
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.
Found on Publication Page
85
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.
Found on Publication Page
84
Efficient processing of ad-hoc top-k aggregate queries in OLAP. C Li, KCC Chang, IF Ilyas Technical Report UIUCDCS, 2005.
Found on Publication Page
In 2004
82
Organizing Structured Web Sources by Query Schemas. B He, T Tao, KCC Chang CIKM 2004: Proceedings of the Thirteenth ACM Conference on Information ..., 2004.
Found on Publication Page
81
Weaving Entities into Relations: From Page Retrieval to Relation Mining on the Web. JM Kelley, KCC Chang, T Cheng, SL Chuang, W Davis .
Found on Publication Page
80
Light-weight Domain-based Form Assistant: Querying Databases on the Web. Z Zhang, B He, KCC Chang .
Found on Publication Page
79
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.
Found on Publication Page
78
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.
Found on Publication Page
77
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.
Found on Publication Page
76
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.
Found on Publication Page
75
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.
Found on Publication Page
74
Special issue on web content mining. B Liu, K Chen-Chuan-Chang Acm Sigkdd explorations newsletter 6 (2), 1-4, 2004.
Found on Publication Page
73
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.
Found on Publication Page
72
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.
Found on Publication Page
71
A holistic paradigm for large scale schema matching. B He, KCC Chang ACM SIGMOD Record 33 (4), 20-25, 2004.
Found on Publication Page
70
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.
Found on Publication Page
69
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.
Found on Publication Page
68
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.
Found on Publication Page
67
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.
Found on Publication Page
66
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.
Found on Publication Page
65
Making holistic schema matching robust: An ensemble framework with sampling and voting. B He, KCC Chang Technical Report UIUCDCS, 2004.
Found on Publication Page
In 2003
64
Discovering Attribute Locality across the Deep Web: an Ordering-Based Approach. C Li, KCC Chang UIUC Technical Report, 2003.
Found on Publication Page
63
Statistical schema matching across web query interfaces. B He, KCC Chang Proceedings of the 2003 ACM SIGMOD international conference on Management of ..., 2003.
Found on Publication Page
62
The UIUC web integration repository. KCC Chang, B He, C Li, Z Zhang Computer Science Department, University of Illinois at Urbana-Champaign ..., 2003.
Found on Publication Page
In 2002
61
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.
Found on Publication Page
60
Minimal probing. KCC Chang, S Hwang Proceedings of the 2002 ACM SIGMOD international conference on Management of ..., 2002.
Found on Publication Page
59
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.
Found on Publication Page
58
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.
Found on Publication Page
56
Heterogeneous learner for Web page classification. H Yu, KCC Chang, J Han 2002 IEEE International Conference on Data Mining, 2002. Proceedings., 538-545, 2002.
Found on Publication Page
55
Statistical schema integration across the deep web. B He, KC Chang University of Illinois at Urbana-Champaign, 2002.
Found on Publication Page
In 2001
54
Approximate query mapping: Accounting for translation closeness. KCC Chang, H Garcia-Molina The VLDB Journal 10, 155-181, 2001.
Found on Publication Page
53
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.
Found on Publication Page
52
Query and data mapping across heterogeneous information sources. KCC Chang Stanford University, 2001.
Found on Publication Page
51
An experimental approach to studying Ramanujan graphs. K Chang, MJ Seminar Unpublished Undergraduate Thesis, see Princeton Website, 2001.
Found on Publication Page
In 2000
50
Approximate query translation across heterogeneous information sources. CCK Chang, H Garcia-Molina architecture 1, 2, 2000.
Found on Publication Page
49
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.
Found on Publication Page
In 1999
48
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.
Found on Publication Page
47
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.
Found on Publication Page
46
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.
Found on Publication Page
45
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.
Found on Publication Page
44
Approximate Query Translation (Extended version). CCK Chang, H Garcia-Molina Technical Report SIDL-WP-1999-0115, http://dlib2. stanford. edu/-cgi-bin/get ..., 1999.
Found on Publication Page
In 1998
43
Predicate Rewriting for Translating Boolean Queries in a Heterogeneous Information System. C Chang, H Garcia-Molina, A Paepcke Stanford University, 1998.
Found on Publication Page
42
Interoperability for digital libraries worldwide. A Paepcke, CCK Chang, T Winograd, H Garci a-Molina Communications of the ACM 41 (4), 33-42, 1998.
Found on Publication Page
41
Interoperability for digital libraries worldwide. HGM Andreas Paepcke, Chen-Chuan K Chang, Terry Winograd Communications of the ACM 41 (4), 33-42, 1998.
Found on Publication Page
40
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.
Found on Publication Page
39
Conjunctive constraint mapping for data translation. CCK Chang, H Garcia-Molina Proceedings of the third ACM conference on Digital libraries, 49-58, 1998.
Found on Publication Page
38
Interoperability for digital libraries: problems and directions. A Paepcke, CCK Chang, H Garcia-Molina, T Winograd Retrieved September 5 (2014), 1998-24, 1998.
Found on Publication Page
In 1997
37
The Stanford digital library metadata architecture. M Baldonado, CCK Chang, L Gravano, A Paepcke International journal on digital libraries 1, 108-121, 1997.
Found on Publication Page
36
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.
Found on Publication Page
35
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.
Found on Publication Page
34
Evaluating the cost of boolean query mapping. CCK Chang, H Garcia-Molina Proceedings of the second ACM international conference on Digital libraries ..., 1997.
Found on Publication Page
33
Starts. L Gravano, CCK Chang, H Garcia-Molina, A Paepcke ACM SIGMOD Record 26 (2), 207-218, 1997.
Found on Publication Page
In 1996
32
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.
Found on Publication Page
31
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.
Found on Publication Page
In 1994
30
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.
Found on Publication Page
In 1993
29
On wafer-packing problems. DHC Du, I Lin, KC Chang IEEE transactions on computers 42 (11), 1382-1388, 1993.
Found on Publication Page
In 1991
28
Probabilistic diagnosis using a reformulation of the INTERNIST-1/QMR knowledge base: I. The probabilistic model and inference algorithms. RA Miller, HEJ Pople, JD Myers, RA Miller, RA Miller, MA McNeil, ... Methods of information in Medicine 30 (04), 241-255, 1991.
Found on Publication Page
In 1987
27
Efficient algorithms for layer assignment problem. KC Chang, DHC Du IEEE Transactions on Computer-Aided Design of Integrated Circuits and ..., 1987.
Found on Publication Page
In 1983
26
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.
Found on Publication Page
In 1962
25
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.
Found on Publication Page
Unspecified
24
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.
Found on Publication Page
23
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.
Found on Publication Page
21
Metagraph Representation on Heterogeneous Graphs. Y Fang, W Lin, VW Zheng, M Wu, KCC Chang, XL Li .
Found on Publication Page
20
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.
Found on Publication Page
18
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.
Found on Publication Page
17
Supporting Ranking and Clustering as Supporting flanking and Clustering as Generalized Order-By and Group-By. K Chang .
Found on Publication Page
16
"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, ... .
Found on Publication Page
15
Directed Data Management: A New Frontier in Database Usability. M Bendre, S Rahman, T Wattanawaroon, K Mack, Y Lu, KCC Chang, ... .
Found on Publication Page
10
Using Distributed Objects to Build the Stanford Digital Library Infobus. Q Michelle, K Chang, S Cousins .
Found on Publication Page
8
Editorial issue:" Special Issue on Web Content Mining". B Liu, KCC Chang SIGKDD Explorations 6 (2), 0.
Found on Publication Page
7
Large Scale Integration over the Deep Web: Frontier, State of the Art, and Research Directions. KC Chang, B He .
Found on Publication Page
6
Integration at Web-scale: Cazoodle's Agent Technology for Enabling Vertical Search. KCC Chang, G Kabra, Q Le, Y Tseng Programme Chairs, 0.
Found on Publication Page
5
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 .
Found on Publication Page
4
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically (Supplementary Material). Y Fang, KCC Chang, HW Lauw .
Found on Publication Page
2
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.
Found on Publication Page
1
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.
Found on Publication Page