Selected Publications

Full list of publications: Google Scholar, DBLP
First authors with * are my supervised graduate students

2020

• Huaxiu Yao*, Xian Wu, Zhiqiang Tao, Yaliang Li, Bolin Ding, Ruirui Li, Zhenhui Li, Automated Relational Meta-learning, in Proceeding of the Eighth International Conference on Learning Representations (ICLR 2020), Addis Ababa, Ethiopia, Apr. 2020.


• Chacha Chen*, Hua Wei, Nan Xu, Guanjie Zheng, Ming Yang, Yuanhao Xiong, Kai Xu, Zhenhui Li, Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control, in Proceeding of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, Feb. 2020. (Acceptance rate: 1591/7737=20.6%)


• Huaxiu Yao*, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li, Graph Few-shot Learning via Knowledge Transfer, in Proceeding of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, Feb. 2020. (Acceptance rate: 1591/7737=20.6%)


• Xinshi Zang*, Huaxiu Yao, Guanjie Zheng, Nan Xu, Kai Xu, Zhenhui Li, MetaLight: Value-based Meta-reinforcement Learning for Online Universal Traffic Signal Control, in Proceeding of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, Feb. 2020. (Acceptance rate: 1591/7737=20.6%)


• Chuxu Zhang, Huaxiu Yao, Chao Huang, Meng Jiang, Zhenhui Li, Nitesh V. Chawla, Few-Shot Knowledge Graph Completion, in Proceeding of the Thirty-fourth AAAI Conference on Artificial Intelligence (AAAI'20), New York, NY, Feb. 2020. (Acceptance rate: 1591/7737=20.6%)


• Guanjie Zheng*, Hanyang Liu* (equal contribution), Kai Xu, Zhenhui Li, Learning to Simulate Vehicle Trajectories from Demonstrations, in Proceedings of the 2020 International Conference on Data Engineering (ICDE'20), Dallas, TX, April 2020.

2019

• Guanjie Zheng*, Yuanhao Xiong, Xinshi Zang, Jie Feng, Hua Wei, Huichu Zhang, Yong Li, Kai Xu and Zhenhui Li, Learning Phase Competition for Traffic Signal Control, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM'19), Beijing, China, November 2019. (Acceptance rate: 200/1030=19.4%)


• Hua Wei*, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu and Zhenhui Li, CoLight: Learning Network-level Cooperation for Traffic Signal Control, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM'19), Beijing, China, November 2019. (Acceptance rate: 200/1030=19.4%)


• Porter Jenkins*, Ahmad Farag, Suhang Wang and Zhenhui Li, Unsupervised Representation Learning of Spatial Data via Multimodal Embedding, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM'19), Beijing, China, November 2019. (Acceptance rate: 200/1030=19.4%)


• Yuanhao Xiong*, Guanjie Zheng, Kai Xu and Zhenhui Li, Learning Traffic Signal Control from Demonstrations, in Proceedings of the 2019 ACM on Conference on Information and Knowledge Management (CIKM'19), Beijing, China, November 2019. (Short paper, acceptance rate: 100/470=21.3%)


• Hua Wei*, Guanjie Zheng, Vikash Gayah, and Zhenhui Li. A Survey on Traffic Signal Control Methods. arXiv preprint arXiv:1904.08117 (2019).


• Hua Wei*, Chacha Chen, Guanjie Zheng, Kan Wu, Vikash V. Gayah, Kai Xu and Zhenhui Li, PressLight: Learning Max Pressure Control to Coordinate Traffic Signals in Arterial Network. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, Aug 2019. (Research track, acceptance rate: ~170/1200=14.2%)


• Yanwei Yu, Xianfeng Tang, Huaxiu Yao, Xiuwen Yi, and Zhenhui Li, Citywide Traffic Volume Inference with Surveillance Camera Records , Transactions on Big Data, 2019.


• Huaxiu Yao*, Ying Wei, Junzhou Huang, and Zhenhui Li, Hierarchically Structured Meta-Learning, in Proceedings of the Thirty-sixth International Conference on Machine Learning (ICML'19), Long Beach, CA, June 2019. (Acceptance rate: 773/3424=22%)


• Huaxiu Yao*, Yiding Liu, Ying Wei, and Zhenhui Li, Learning from Multiple Cities: A Meta-Learning Approach to Spatial-Temporal Prediction, in Proceedings of The Web Conference (WWW'19), San Francisco, CA, May 2019. (Acceptance rate: 225/1247=18%)


• Hongjian Wang*, Porter Jenkins, Hua Wei, Fei Wu, and Zhenhui Li, Learning Task-Specific City Region Partitions, in Proceedings of The Web Conference (WWW'19), San Francisco, California, May 2019. (Short paper, acceptance rate: 72/361=20%)


• Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li, CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario, WWW'19 demo.


• Huaxiu Yao*, Xianfeng Tang* (equal contribution), Wei Hua, Guanjie Zheng, and Zhenhui Li, Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction, in Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, Jan. 2019. (Acceptance rate: 1150/7095=16.2%)


• Hongjian Wang, Xianfeng Tang, Yu-Hsuan Kuo, Daniel Kifer, and Zhenhui Li, A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data, ACM Transactions on Intelligent Systems and Technology (TIST), 10(2), Jan. 2019.

2018

• Yu-Hsuan Kuo, Zhenhui Li, and Daniel Kifer, Detecting Outliers in Data with Correlated Measures, in Proceedings of the 2018 International Conference on Information and Knowledge Management (CIKM'18), Turin, Italy, Oct. 2018. (Acceptance rate: 147/862=17%)


• Yanwei Yu, Hongjian Wang, and Zhenhui Li, Inferring Mobility Relationship via Graph Embedding, in Proc. ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2018.


• Hua Wei*, Guanjie Zheng* (equal contribution), Huaxiu Yao, and Zhenhui Li, IntelliLight: A Reinforcement Learning Approach for Intelligent Traffic Light Control, in Proceedings of the 2018 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18), London, UK, Aug 2018. (Acceptance rate: 181/983=18.4%, research track) code


• Guanjie Zheng*, Fuzheng Zhang, Zihan Zheng, Yang Xiang, Nicholas Jing Yuan, Xing Xie, and Zhenhui Li, DRN: A Deep Reinforcement Learning Framework for News Recommendation, Proceedings of 2018 International Conference on World-Wide Web (WWW’18), Lyon, France, Apr. 2018. (Acceptance rate: 171/1755=14.5%)


• Huaxiu Yao*, Fei Wu, Jintao Ke, Xianfeng Tang, Yitian Jia, Siyu Lu, Pinghua Gong, Jieping Ye, and Zhenhui Li, Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction, in Proceedings of 2018 AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, LA, Feb. 2018 (Acceptance rate: 933/3800=24.6%)

2017

• Hongjian Wang*, Daniel Kifer, Corina Graif, and Zhenhui Li, Non-Stationary Model for Crime Rate Inference Using Modern Urban Data, IEEE Transactions on Big Data (TBD'17), Volume PP, Issue 99, Dec 22 2017.


• Hongjian Wang* and Zhenhui Li, Region Representation Learning via Mobility Flow, in Proceedings of the 2017 International Conference on Information and Knowledge Management (CIKM'17), Singapore, Nov. 2017. (Acceptance rate: 171/820=20.9%)


• Zhenhui Li, Semantic Understanding of Spatial Trajectories (vision paper), in Proceedings of the of 2017 International Symposium on Spatial and Temporal Databases (SSTD'17), Arlington, VA, Aug. 2017.


• Guanjie Zheng*, Susan Brantley, Thomas Lauvaux, and Zhenhui Li, Contextual Spatial Outlier Detection with Metric Learning, in Proceedings of the 2017 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Aug. 2017. (Acceptance rate: 85/396=21.5%, applied data science track)


• Fei Wu*, Pranay Anchuri, and Zhenhui Li, Structural Event Detection from Log Messages, in Proceedings of the 2017 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), Halifax, Nova Scotia, Aug. 2017. (Acceptance rate: 131/748=17.5%, research track)


• Zhenhui Li, Guanjie Zheng, Amal Agarwal, Lingzhou Xue, and Thomas Lauvaux, Discovery of Causal Time Intervals, in Proceedings of the 2017 SIAM International Conference on Data Mining (SDM'17), Houston, TX, May 2017. (Acceptance rate: 26%)

2016

• Zhenhui Li, Cheng You, Matthew Gonzales, Anna K. Wendt, Fei Wu, and Susan L. Brantley, Searching for Anomalous Methane in Shallow Groundwater near Shale Gas Wells. Journal of Contaminant Hydrology 195 (2016): 23-30. code


• Fei Wu*, Hongjian Wang, Zhenhui Li, Interpreting Traffic Dynamics using Ubiquitous Urban Data, in Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'16), Burlingame, CA, Nov. 2016.


• Hongjian Wang*, Yu-Hsuan Kuo, Daniel Kifer, and Zhenhui Li, A Simple Baseline for Travel Time Estimation using Large-Scale Trip Data, in Proceedings of the 24th ACM International Conference on Advances in Geographical Information Systems (SIGSPATIAL'16), Burlingame, CA, Nov. 2016.


• Fei Wu* and Zhenhui Li, Where Did You Go: Personalized Annotation of Mobility Records , in Proceedings of the of 2016 International Conference on Information and Knowledge Management (CIKM'16), Indianapolis, IN, Oct. 2016. (Long paper, acceptance rate: 165/935=17.6%)

2015

• Hongjian Wang*, Daniel Kifer, Corina Graif, and Zhenhui Li, Crime Rate Inference with Big Data, in Proceedings of the 2016 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, Aug. 2016. (Acceptance rate: 20%, applied data science track)


• Fei Wu*, Zhenhui Li, Wang-Chien Lee, Hongjian Wang, and Zhuojie Huang, Semantic Annotation of Mobility Data using Social Media, in Proceedings of the 2015 International World Wide Web Conference (WWW'15), Florence, Italy, May 2015. (Acceptance rate: 131/929 = 14.1%) slides


• Fei Wu*, Zhenhui Li, Wang-Chien Lee, Hongjian Wang, and Zhuojie Huang, SemMobi: A Semantic Annotation System for Mobility Data, (system demo), in Proceedings of the 2015 International World Wide Web Conference (WWW'15), Florence, Italy, May 2015.


• Zhenhui Li, Jingjing Wang, and Jiawei Han, ePeriodicity: Mining Event Periodicity from Incomplete Observations , IEEE Transactions on Knowledge and Data Engineering (TKDE), 27.5 (2015): 1219-1232. appendix

2014

• Hongjian Wang*, Zhenhui Li, and Wang-Chien Lee, PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factor, in Proceedings of the 2014 IEEE International Conference on Data Mining (ICDM'14), Shenzhen, China, Dec. 2014. (Regular paper, acceptance rate: 71/727 = 9.7%) slides


• Zhenhui Li, Spatiotemporal Pattern Mining: Algorithms and Applications, in Charu Aggarwal and Jiawei Han (ed.), Frequent Pattern Mining , Springer, September, 2014.


• Zhenhui Li, Bolin Ding, Fei Wu, Tobias Kin Hou Lei, Roland Kays, and Margaret Crofoot, Attraction and Avoidance Detection from Movements, in Proceedings of the 2014 International Conference on Very Large Data Bases (VLDB'14/PVLDB), Hangzhou, China, Sept. 2014. tool slides


• Fei Wu*, Tobias Kin Hou Lei, Zhenhui Li, and Jiawei Han, MoveMine 2.0: Mining Object Relationships from Movement Data, (system demo), in Proceedings of the 2014 International Conference on Very Large Data Bases (VLDB'14/PVLDB), Hangzhou, China, Sept. 2014. demo


• Peifeng Yin, Mao Ye, Wang-Chien Lee, and Zhenhui Li, Mining GPS Data for Trajectory Recommendation, in Proceedings of the 2014 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'14), Tainan, Taiwan, May 2014. (Acceptance rate: 61/371=16.4%)


• Mo Yu, Wenjun Si, Guojie Song, Zhenhui Li, and John Yen, Who were you talking to - Mining interpersonal relationships from cellphone network data, in Proceedings of the of 2014 International Conference on Advances in Social Network Analysis and Mining (ASONAM'14), Beijing, China, August, 2014.

2013

• Zhenhui Li, Fei Wu, and Margaret Crofoot, Mining Following Relationships in Movement Data, in Proceedings of the 2013 IEEE International Conference on Data Mining (ICDM'13), Dallas, TX, Dec. 2013. (Regular paper, acceptance rate: 94/809=11.6%) demo code slides


• Zhaohui Wu, Zhenhui Li, Prasenjit Mitra, and C. Lee Giles, Can Back-of-the-book Indexes be Automatically Created?, in Proceedings of the 2013 International Conference on Information and Knowledge Management (CIKM'13), San Francisco, CA, Oct. 2013. (Short paper, acceptance rate: 106/848=12.5%)


• Zhaohui Wu, Sujatha Das, Zhenhui Li, Prasenjit Mitra, and C. Lee Giles. Searching Online Book Documents and Analyzing Book Citations, in Proceedings of the 2013 ACM Symposium on Document Engineering (DocEng'13), September 10-13, Florence, Italy.

2012

• Ariel Fuxman, Anitha Kannan, Panayiotis Tsaparas, and Zhenhui Li, Enabling Direct Interest-Aware Audience Selection, in Proceedings of the 2012 International Conference on Information and Knowledge Management (CIKM’12), Maui, Hawaii, Oct. 2012. (Acceptance rate: 146/1088=13.4%)


• Zhenhui Li, Jiawei Han, Bolin Ding, and Roland Kays, Mining Periodic Behaviors of Object Movements for Animal and Biological Sustainability Studies, Data Mining and Knowledge Discovery (DAMI), Volume 24, Issue 2 (2012), Page 355-386.


• Zhenhui Li, Jingjing Wang, and Jiawei Han, Mining Periodicity for Sparse and Incomplete Event Data , in Proceedings of the 2012 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12), Beijing, China, Aug. 2012. (Acceptance rate: 133/755=17.6%) slides code


• Quanquan Gu, Marina Danilevsky, Zhenhui Li, and Jiawei Han, Locality Preserving Feature Learning, in Proceedings of the 2012 International Conference on Artificial Intelligence and Statistics (AISTAT'12), La Palma, Canary Islands, April 2012. (Acceptance rate: 33.5%)

2011

• Quanquan Gu, Zhenhui Li, Jiawei Han, Correlated Multi-Label Feature Selection, in Proceedings of the 20th ACM Conference on Information and Knowledge Management (CIKM'11), Glasgow, Scotland, UK, 2011. (Acceptance rate: 15%)


• Quanquan Gu, Zhenhui Li, and Jiawei Han, Linear Discriminant Dimensionality Reduction, in Proceedings of the 2011 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD'11), Athens, Greece, Sept. 2011. (Acceptance rate: 121/599 = 20%)


• Zhenhui Li, Cindy Xide Lin, Bolin Ding, and Jiawei Han, Mining Significant Time Intervals for Relationship Detection, in Proceedings of the of 2011 International Symposium on Spatial and Temporal Databases (SSTD'11), Minneapolis, MN, Aug. 2011. (Acceptance rate: 38%) slides


• Quanquan Gu, Zhenhui Li, and Jiawei Han, Learning a Kernel for Multi-Task Clustering, in Proceedings of the of 2011 AAAI Conference on Artificial Intelligence (AAAI'11), San Francisco, CA, Aug. 2011. (Acceptance rate: 242/975 = 24.8%)


• Xiao Yu, Ang Pan, Lu-An Tang, Zhenhui Li and Jiawei Han, Geo-Friends Recommendation in GPS-based Cyber-Physical Social Network, in Proceedings of the of 2011 International Conference on Advances in Social Network Analysis and Mining (ASONAM'11), Kaohsiung, Taiwan, July 2011. (Acceptance rate: 25%)


• Quanquan Gu, Zhenhui Li and Jiawei Han, Joint Feature Selection and Subspace Learning, in Proceedings of the of 2011 International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, July 2011. (Acceptance rate: 227/1325 = 17%)


• Quanquan Gu, Zhenhui Li, and Jiawei Han, Generalized Fisher Score for Feature Selection, in Proceedings of the of 2011 International Conference on Uncertainty in Artificial Intelligence (UAI'11), Barcelona, Spain, July 2011. (Acceptance rate: 34%)

2010

• Bolin Ding, Marianne Winslett, Jiawei Han, and Zhenhui Li, Differentially Private Data Cube: Optimizing Noise Source and Consistency, in Proceedings of the of 2011 ACM SIGMOD International Conference on Management of Data (SIGMOD'11), Athens, Greece, June 2011. (Acceptance rate: 87/375 = 23.2%) slides


• Zhenhui Li, Jiawei Han, Ming Ji, Lu-An Tang, Yintao Yu, Bolin Ding, Jae-Gil Lee, and Roland Kays, MoveMine: Mining Moving Object Data for Discovery of Animal Movement Patterns , ACM Transactions on Intelligent Systems and Technology (TIST) (Special Issue on Computational Sustainability), Aug. 2010.


• Zhenhui Li, Bolin Ding, Jiawei Han, and Roland Kays, Swarm: Mining Relaxed Temporal Moving Object Clusters, in Proceedings of the 2010 International Conference on Very Large Data Bases (VLDB'10), Singapore, Sept. 2010. (Acceptance rate: 84/478 = 17.6%) slides code


• Zhenhui Li, Bolin Ding, Jiawei Han, and Roland Kays, Mining Periodic Behaviors for Moving Objects, in Proceedings of the 2010 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'10), Washington D.C., July 2010. (Full paper, acceptance rate: 77/578 = 13.3%) slides poster code


• Zhenhui Li, Ming Ji, Jae-Gil Lee, LuAn Tang, Jiawei Han, Roland Kays, MoveMine: Mining Moving Object Databases , (system demo), in Proceedings of the 2010 ACM SIGMOD International Conference on Management of Data (SIGMOD'10), Indianapolis, Indiana, June 2010. (Acceptance rate: 35/95 = 36.8%) demo poster


• Zhenhui Li, Ding Zhou, YunFang Juan, and Jiawei Han, Keyword Extraction for Social Snippets, (poster paper) in Proceedings of the 2010 International World Wide Web Conference (WWW'10), Raleigh, NC, April 2010. poster


• Zhenhui Li, Jae-Gil Lee, Xiaolei Li, and Jiawei Han, Incremental Clustering for Trajectories, in Proceedings of the 2010 International Conference on Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, April 2010. (Acceptance rate: 55/237 = 23.2%) slides


• Xiaolei Li, Zhenhui Li, Jiawei Han, and Jae-Gil Lee, Temporal Outlier Detection in Vehicle Traffic Data, in Proceedings of the 2009 International Conference on Data Engineering (ICDE'09), Shanghai, China, Mar. 2009. (Acceptance rate:150/554 = 27.1%) slides