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ORCIDKevin Chen-Chuan Chang
Kevin Chang 0001
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
- affiliation (PhD 2001): University of Stanford, Department of Electrical Engineering, Stanford, CA, USA
Other persons with the same name
- Kevin Chang 0002 — Washington State University, Pullman, WA, USA
- Kevin Chang 0003 — Queensland University of Technology, Brisbane, QLD, Australia
- Kevin Chang 0004 — University of Michigan, USA
- Kevin Chang 0005 — University of Maryland, Baltimore County, Baltimore, MD, USA
- Kevin Chang 0006 — Seattle University, WA, USA
- Kevin Chang 0007 — University of Southern California, Los Angeles, CA, USA
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2020 – today
- 2023
[j42]Fanwei Zhu
, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu:
Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. IEEE Trans. Knowl. Data Eng. 35(3): 3195-3210 (2023)- [j41]Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang:
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5654-5668 (2023) - [c110]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? ACL (Findings) 2023: 716-727 - [c109]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li:
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. ACL (1) 2023: 929-949 - [c108]Jie Huang, Kevin Chen-Chuan Chang:
Towards Reasoning in Large Language Models: A Survey. ACL (Findings) 2023: 1049-1065 - [c107]Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang:
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) 2023: 4719-4731 - [c106]Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Unsupervised Open-domain Keyphrase Generation. ACL (1) 2023: 10614-10627 - [i41]Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang:
Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR abs/2304.10513 (2023) - [i40]Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - [i39]Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR abs/2305.03276 (2023) - [i38]Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin:
CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR abs/2305.11480 (2023) - [i37]Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang:
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. CoRR abs/2305.12707 (2023) - [i36]Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang:
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR abs/2305.14750 (2023) - [i35]Lam Thanh Do, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Unsupervised Open-domain Keyphrase Generation. CoRR abs/2306.10755 (2023) - [i34]Jie Huang, Kevin Chen-Chuan Chang:
Citation: A Key to Building Responsible and Accountable Large Language Models. CoRR abs/2307.02185 (2023) - [i33]Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro:
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR abs/2308.07922 (2023) - 2022
- [j40]Hongbin Pei, Bo Yang, Jiming Liu, Kevin Chen-Chuan Chang:
Active Surveillance via Group Sparse Bayesian Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1133-1148 (2022) - [j39]Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram:
Decision tree Thompson sampling for mining hidden populations through attributed search. Soc. Netw. Anal. Min. 12(1): 6 (2022) - [j38]Changyu Wang, Kevin Chen-Chuan Chang, Pinghui Wang, Tao Qin, Xiaohong Guan:
Heterogeneous Network Crawling: Reaching Target Nodes by Motif-Guided Navigation. IEEE Trans. Knowl. Data Eng. 34(9): 4285-4297 (2022) - [c105]Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) 2022: 297-308 - [c104]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai:
Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) 2022: 679-692 - [c103]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) 2022: 2038-2047 - [c102]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP 2022: 3994-4004 - [c101]Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP 2022: 6686-6698 - [c100]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang:
Coordinated Topic Modeling. EMNLP 2022: 9831-9843 - [c99]Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu:
Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). ICDE 2022: 1569-1570 - [i32]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai:
Domain Representative Keywords Selection: A Probabilistic Approach. CoRR abs/2203.10365 (2022) - [i31]Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR abs/2205.10479 (2022) - [i30]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
Are Large Pre-Trained Language Models Leaking Your Personal Information? CoRR abs/2205.12628 (2022) - [i29]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? CoRR abs/2210.05159 (2022) - [i28]Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang:
Coordinated Topic Modeling. CoRR abs/2210.08559 (2022) - [i27]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, Chengxiang Zhai, Yunyao Li:
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. CoRR abs/2211.08228 (2022) - [i26]Jie Huang, Kevin Chen-Chuan Chang:
VER: Learning Natural Language Representations for Verbalizing Entities and Relations. CoRR abs/2211.11093 (2022) - [i25]Jie Huang, Kevin Chen-Chuan Chang:
Towards Reasoning in Large Language Models: A Survey. CoRR abs/2212.10403 (2022) - [i24]Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang:
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. CoRR abs/2212.10545 (2022) - 2021
- [j37]Xiaodong Li, Reynold Cheng, Kevin Chen-Chuan Chang, Caihua Shan, Chenhao Ma, Hongtai Cao:
On Analyzing Graphs with Motif-Paths. Proc. VLDB Endow. 14(6): 1111-1123 (2021) - [j36]Yuan Fang, Wenqing Lin, Vincent W. Zheng, Min Wu, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li:
Metagraph-Based Learning on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. 33(1): 154-168 (2021) - [c98]Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu:
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) 2021: 3641-3651 - [i23]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu:
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR abs/2105.13255 (2021) - [i22]Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu:
Open Relation Modeling: Learning to Define Relations between Entities. CoRR abs/2108.09241 (2021) - [i21]Anurendra Kumar, Keval Morabia, Jingjin Wang, Kevin Chen-Chuan Chang, Alexander G. Schwing:
CoVA: Context-aware Visual Attention for Webpage Information Extraction. CoRR abs/2110.12320 (2021) - [i20]Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang:
CDM: Combining Extraction and Generation for Definition Modeling. CoRR abs/2111.07267 (2021) - 2020
- [c97]Xiaodong Li, Reynold Cheng, Matin Najafi, Kevin Chen-Chuan Chang, Xiaolin Han, Hongtai Cao:
M-Cypher: A GQL Framework Supporting Motifs. CIKM 2020: 3433-3436 - [c96]Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. EMNLP (1) 2020: 8509-8518 - [c95]Boxuan Li, Reynold Cheng, Jiafeng Hu, Yixiang Fang, Min Ou, Ruibang Luo, Kevin Chen-Chuan Chang, Xuemin Lin:
MC-Explorer: Analyzing and Visualizing Motif-Cliques on Large Networks. ICDE 2020: 1722-1725 - [c94]Zhijie Chen, Hongtai Cao, Kevin Chen-Chuan Chang:
GraphEBM: Energy-based Graph Construction for Semi-Supervised Learning. ICDM 2020: 62-71 - [c93]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. ICLR 2020 - [c92]Hongbin Pei, Bingzhe Wei, Kevin Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. NeurIPS 2020 - [c91]Amin Javari, Zhankui He, Zijie Huang, Jeetu Raj, Kevin Chen-Chuan Chang:
Weakly Supervised Attention for Hashtag Recommendation using Graph Data. WWW 2020: 1038-1048 - [c90]Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang:
ROSE: Role-based Signed Network Embedding. WWW 2020: 2782-2788 - [i19]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Yu Lei, Bo Yang:
Geom-GCN: Geometric Graph Convolutional Networks. CoRR abs/2002.05287 (2020) - [i18]Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. CoRR abs/2003.02452 (2020) - [i17]Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong:
Exploring Semantic Capacity of Terms. CoRR abs/2010.01898 (2020) - [i16]Hongbin Pei, Bingzhe Wei, Kevin Chen-Chuan Chang, Chunxu Zhang, Bo Yang:
Curvature Regularization to Prevent Distortion in Graph Embedding. CoRR abs/2011.14211 (2020)
2010 – 2019
- 2019
- [j35]Sandro Cavallari, Erik Cambria, Hongyun Cai, Kevin Chen-Chuan Chang, Vincent W. Zheng:
Embedding Both Finite and Infinite Communities on Graphs [Application Notes]. IEEE Comput. Intell. Mag. 14(3): 39-50 (2019) - [j34]Hong Cao, Kevin Chen-Chuan Chang:
Nonintrusive Smartphone User Verification Using Anonymized Multimodal Data. IEEE Trans. Knowl. Data Eng. 31(3): 479-492 (2019) - [c89]Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Meta-GNN: metagraph neural network for semi-supervised learning in attributed heterogeneous information networks. ASONAM 2019: 137-144 - [c88]Suhansanu Kumar, Heting Gao, Changyu Wang, Kevin Chen-Chuan Chang, Hari Sundaram:
Hierarchical multi-armed bandits for discovering hidden populations. ASONAM 2019: 145-153 - [c87]Jiafeng Hu, Reynold Cheng, Kevin Chen-Chuan Chang, Aravind Sankar, Yixiang Fang, Brian Y. H. Lam:
Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks. ICDE 2019: 746-757 - [c86]Mangesh Bendre, Tana Wattanawaroon, Sajjadur Rahman, Kelly Mack, Yuyang Liu, Shichu Zhu, Yu Lu, Ping-Jing Yang, Xinyan Zhou, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Faster, Higher, Stronger: Redesigning Spreadsheets for Scale. ICDE 2019: 1972-1975 - [c85]Carl Yang, Kevin Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. SDM 2019: 342-350 - [c84]Mangesh Bendre, Tana Wattanawaroon, Kelly Mack, Kevin Chang, Aditya G. Parameswaran:
Anti-Freeze for Large and Complex Spreadsheets: Asynchronous Formula Computation. SIGMOD Conference 2019: 1277-1294 - [i15]Suhansanu Kumar, Heting Gao, Changyu Wang, Hari Sundaram, Kevin Chen-Chuan Chang:
Mining Hidden Populations through Attributed Search. CoRR abs/1905.04505 (2019) - 2018
- [j33]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 101-115 (2018) - [j32]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Authenticity and credibility aware detection of adverse drug events from social media. Int. J. Medical Informatics 120: 157-171 (2018) - [j31]Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, Xiaolin Zheng:
Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model. ACM Trans. Knowl. Discov. Data 12(6): 73:1-73:24 (2018) - [j30]Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang:
A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications. IEEE Trans. Knowl. Data Eng. 30(9): 1616-1637 (2018) - [c83]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs. AAAI 2018: 2355-2362 - [c82]Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CHI Extended Abstracts 2018 - [c81]Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. ICDE 2018: 113-124 - [c80]Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang:
Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. ICDM 2018: 1434-1439 - [c79]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Hongxia Yang, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network. WWW 2018: 1613-1622 - [c78]Denghao Ma, Yueguo Chen, Kevin Chen-Chuan Chang, Xiaoyong Du, Chuanfei Xu, Yi Chang:
Leveraging Fine-Grained Wikipedia Categories for Entity Search. WWW 2018: 1623-1632 - [r2]Kevin Chen-Chuan Chang:
Deep-Web Search. Encyclopedia of Database Systems (2nd ed.) 2018 - [i14]Kelly Mack, John Lee, Kevin Chen-Chuan Chang, Karrie Karahalios, Aditya G. Parameswaran:
Characterizing Scalability Issues in Spreadsheet Software using Online Forums. CoRR abs/1801.03829 (2018) - [i13]Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang:
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. CoRR abs/1802.06265 (2018) - 2017
- [j29]Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang:
From Community Detection to Community Profiling. Proc. VLDB Endow. 10(7): 817-828 (2017) - [c77]Zemin Liu, Vincent W. Zheng, Zhou Zhao, Fanwei Zhu, Kevin Chen-Chuan Chang, Minghui Wu, Jing Ying:
Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding. AAAI 2017: 154-160 - [c76]Sandro Cavallari, Vincent W. Zheng, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria:
Learning Community Embedding with Community Detection and Node Embedding on Graphs. CIKM 2017: 377-386 - [c75]Hongyun Cai, Vincent Wenchen Zheng, Penghe Chen, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang:
SocialLens: Searching and Browsing Communities by Content and Interaction. ICDE 2017: 1397-1398 - [c74]Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. ICDM 2017: 475-484 - [c73]Amin Javari, Hongxiang Qiu, Elham Barzegaran, Mahdi Jalili, Kevin Chen-Chuan Chang:
Statistical Link Label Modeling for Sign Prediction: Smoothing Sparsity by Joining Local and Global Information. ICDM 2017: 1039-1044 - [i12]Hongyun Cai, Vincent Wenchen Zheng, Fanwei Zhu, Kevin Chen-Chuan Chang, Zi Huang:
From Community Detection to Community Profiling. CoRR abs/1701.04528 (2017) - [i11]Hongyun Cai, Vincent Wenchen Zheng, Kevin Chen-Chuan Chang:
Active Learning for Graph Embedding. CoRR abs/1705.05085 (2017) - [i10]Mangesh Bendre, Vipul Venkataraman, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
Towards a Holistic Integration of Spreadsheets with Databases: A Scalable Storage Engine for Presentational Data Management. CoRR abs/1708.06712 (2017) - [i9]Carl Yang, Hanqing Lu, Kevin Chen-Chuan Chang:
CONE: Community Oriented Network Embedding. CoRR abs/1709.01554 (2017) - [i8]Hongyun Cai, Vincent W. Zheng, Kevin Chen-Chuan Chang:
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications. CoRR abs/1709.07604 (2017) - [i7]Carl Yang, Kevin Chen-Chuan Chang:
Relationship Profiling over Social Networks: Reverse Smoothness from Similarity to Closeness. CoRR abs/1710.01363 (2017) - [i6]Aravind Sankar, Xinyang Zhang, Kevin Chen-Chuan Chang:
Motif-based Convolutional Neural Network on Graphs. CoRR abs/1711.05697 (2017) - [i5]Jia Wang, Vincent W. Zheng, Zemin Liu, Kevin Chen-Chuan Chang:
Topological Recurrent Neural Network for Diffusion Prediction. CoRR abs/1711.10162 (2017) - 2016
- [j28]Tao Hoang, Jixue Liu, Nicole Pratt, Vincent W. Zheng, Kevin Chen-Chuan Chang, Elizabeth Roughead, Jiuyong Li:
Detecting signals of detrimental prescribing cascades from social media. Artif. Intell. Medicine 71: 43-56 (2016) - [c72]Vincent W. Zheng, Hong Cao, Shenghua Gao, Aditi Adhikari, Miao Lin, Kevin Chen-Chuan Chang:
Cold-Start Heterogeneous-Device Wireless Localization. AAAI 2016: 1429-1435 - [c71]Vincent Wenchen Zheng, Kevin Chen-Chuan Chang:
Regularizing Structured Classifier with Conditional Probabilistic Constraints for Semi-supervised Learning. CIKM 2016: 1029-1038 - [c70]Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li:
Semantic proximity search on graphs with metagraph-based learning. ICDE 2016: 277-288 - [c69]Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang:
Learning to query: Focused web page harvesting for entity aspects. ICDE 2016: 1002-1013 - [i4]Vincent W. Zheng, Sandro Cavallari, Hongyun Cai, Kevin Chen-Chuan Chang, Erik Cambria:
From Node Embedding To Community Embedding. CoRR abs/1610.09950 (2016) - 2015
- [j27]Mangesh Bendre, Bofan Sun, Ding Zhang, Xinyan Zhou, Kevin Chen-Chuan Chang, Aditya G. Parameswaran:
DATASPREAD: Unifying Databases and Spreadsheets. Proc. VLDB Endow. 8(12): 2000-2003 (2015) - [j26]Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying:
Scheduled approximation for Personalized PageRank with Utility-based Hub Selection. VLDB J. 24(5): 655-679 (2015) - [c68]Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy:
Mobile user verification/identification using statistical mobility profile. BigComp 2015: 15-18 - [c67]Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang:
IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. ICDM Workshops 2015: 1604-1607 - [c66]Miao Lin, Hong Cao, Vincent W. Zheng, Kevin Chen-Chuan Chang, Shonali Krishnaswamy:
Mobility Profiling for User Verification with Anonymized Location Data. IJCAI 2015: 960-966 - [c65]Fangzhou Yao, Kevin Chen-Chuan Chang, Roy H. Campbell:
Ushio: Analyzing News Media and Public Trends in Twitter. UCC 2015: 424-429 - [i3]Jia Wang, Kevin Chen-Chuan Chang, Hari Sundaram:
Network Cartography: Seeing the Forest and the Trees. CoRR abs/1512.06021 (2015) - 2014
- [j25]Kevin Chen-Chuan Chang:
Front Matter. Proc. VLDB Endow. 8(2): i-x (2014) - [c64]Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang:
Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT 2014: 595-606 - [c63]Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw:
Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. ICML 2014: 406-414 - [c62]Mianwei Zhou, Kevin Chen-Chuan Chang:
Unifying learning to rank and domain adaptation: enabling cross-task document scoring. KDD 2014: 781-790 - [c61]Manish Gupta, Rui Li, Kevin Chen-Chuan Chang:
Towards a social media analytics platform: event detection and user profiling for twitter. WWW (Companion Volume) 2014: 193-194 - [c60]Rui Li, Chi Wang, Kevin Chen-Chuan Chang:
User profiling in an ego network: co-profiling attributes and relationships. WWW 2014: 819-830 - 2013
- [j24]Fanwei Zhu, Yuan Fang, Kevin Chen-Chuan Chang, Jing Ying:
Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation. Proc. VLDB Endow. 6(6): 481-492 (2013) - [j23]Rui Li, Shengjie Wang, Kevin Chen-Chuan Chang:
Towards Social Data Platform: Automatic Topic-focused Monitor for Twitter Stream. Proc. VLDB Endow. 6(14): 1966-1977 (2013) - [c59]Mianwei Zhou, Kevin Chen-Chuan Chang:
Entity-centric document filtering: boosting feature mapping through meta-features. CIKM 2013: 119-128 - [c58]Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw:
RoundTripRank: Graph-based proximity with importance and specificity? ICDE 2013: 613-624 - [c57]Mianwei Zhou, Hongning Wang, Kevin Chen-Chuan Chang:
Learning to rank from distant supervision: Exploiting noisy redundancy for relational entity search. ICDE 2013: 829-840 - [i2]