Dr. Haipeng Zhang is an assistant professor in School of Information Science and Technology at ShanghaiTech University, where he focuses on mining and modeling large-scale human behavioral data, to explore human’s investment, communication, mobility, and innovation patterns, for insights and implications in financial, political-economic, and scientific domains. He publishes in venues including WWW, WSDM, TKDD, ICWSM, CIKM, ICML, ICLR, AAAI and IJCAI, and his work received media coverage from the New Scientist magazine and the Communications of the ACM website. He received his PhD in Computer Science from Indiana University under the supervision of Prof. David J. Crandall in 2014, and his B.E. degree in Software Engineering from Nanjing University in 2009. He was an exchange student at HKUST in Fall 2007. From 2010 to 2013, he did research internships at National Institute of Informatics, eBay Research Labs, Microsoft Research Cambridge, and Samsung Research America. Before joining ShanghaiTech, he worked full-time at IBM Research and China Financial Futures Exchange on Data Science and Fintech, from 2014 to 2018.

Motivated students who are interested in pursuing master/PhD degrees, please contact Dr. Zhang by email.

In Submission

• "Cautious explorers generate more future academic impact." , Yang, X., Ke, Z., Ke, Q., Zhang, H.*, and Gao, F.*

Selected Publications All Publications (Google Scholar)

• ICWSM'25 "Paths of A Million People: Extracting Life Trajectories from Wikipedia." , Zhang, Y., Li, X., Liu, Z., and Zhang, H.* The International AAAI Conference on Web and Social Media (ICWSM'25) (accepted, CCF B)
• IJCAI'24 "For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction." , Du, X. and Zhang, H.* The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24) (accepted, CCF A)
• IJCAI'24 "It Ain't That Bad: Understanding the Mysterious Performance Drop in OOD Generalization for Generative Transformer Models." , Xu, X., Pan, Z., Zhang, H.* and Yang, Y.* The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24) (accepted, CCF A)
• ICML'24 "DUPLEX: Dual GAT for Complex Embedding of Directed Graphs." , Ke, Z., Yu, H., Li, J.* and Zhang, H.* The Forty-first International Conference on Machine Learning (ICML'24) (accepted, CCF A)
• ICWSM'24 "Where Did the President Visit Last Week? Detecting Celebrity Trips from News Articles." , Peng, K., Zhang, Y., Ling, S., Ke, Z., and Zhang, H.* The International AAAI Conference on Web and Social Media (ICWSM'24) (spotlight, 5%, CCF B)
• IEEE TVCG'24 "FMLens: Towards Better Scaffolding the Process of Fund Manager Selection in Fund Investments." , Chen, L., Cheng, C., Wang, H., Wang, X., Tian, Y., Yue, X., Wong, K.K., Zhang, H., Hong, S., and Li, Q. IEEE Transactions on Visualization and Computer Graphics (IEEE TVCG'24) (accepted, CCF A)
• ACL'23 "ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification." , Guo, K., Yu, H., Liao, C., Li, J., and Zhang, H.* Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL'23 Findings)
• ICLR'23 "SIMPLE: Specialized Model-Sample Matching for Domain Generalization." , Li, Z., Ren, K., Jiang, X., Shen, Y., Zhang, H., and Li, D. The 11th International Conference on Learning Representations (ICLR'23)
• AAAI'23 "For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network." , Pan, Z., Peng, K., Ling, S., and Zhang, H.* Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23) (oral, 11%, CCF A)
• ACM TKDD'23 "STHAN: Transportation Demand Forecasting with Compound Spatial-temporal Relationships." , Ling, S., Yu, Z.*, Cao, S.*, Zhang, H.*, and Hu, S. ACM Transactions on Knowledge Discovery from Data (TKDD). (CCF B)
• WWW'23 "Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention." , Yang, X., Wang, D., Hu, B., Yang, D., Shen, Y., Gu, J., Zhang, Z., Lyu, S., and Zhang, H.* International World Wide Web Conference 2023 (WWW'23) (accepted)
• IPM'22 "Why does the president tweet this? discovering reasons and contexts for politicians’ tweets from news articles." , Li, Z., Hu, H., Wang, H., Cai L., Zhang, H.*, and Zhang, K, Information Processing & Management, 2022. (IF 6.22, CAS 1, CCF B)
• ACM CIKM'22 "See Clicks Differently: Modeling User Clicking Alternatively with Multi Classifiers for CTR Prediction." , Lyu, S., Cai, H., Zhang, C., Ling, S., Shen, Y., Zeng, X., Gu, J. and Zhang, H.*, ACM International Conference on Information & Knowledge Management (CIKM) 2022. (CCF B)
• ACM CIKM'22 "Multiple Instance Learning for Uplift Modeling." , Zhao, Y., Zhang, H.*, Lyu, S., Jiang, R., Gu, J. and Zhang, G., ACM International Conference on Information & Knowledge Management (CIKM) 2022. (CCF B)
• IEEE VIS'22 "RISeer: A Visual Analytics Approach to Inspecting the Dynamics of Regional Industrial Structure." , Chen, L., Ouyang, Y., Zhang, H., Hong, S., and Li, Q, IEEE Visualization, 2022. (CCF A)
• ACM ACSAC'22 "Play the Imitation Game: Model Extraction Attack against Autonomous Driving Localization." , Zhang, Q., Shen, J., Tan, M., Zhou, Z., Li, Z., Chen, Q., and Zhang, H. 38th Annual Computer Security Applications Conference, 2022. (CCF B)
• ACM CIKM'21 "Could You Describe the Reason for the Transfer?': A Reinforcement Learning Based Voice-Enabled Bot Protecting Customers from Financial Frauds." , Wang, Z., Wang, F., Zhang, H., Yang, M., Cao, S., Wen, Z., and Zhang, Z., in Proceedings of 2021 ACM Conference on Information and Knowledge Management, 2021. (CCF B, Best Paper Award at Ant Group)
• IEEE Big Data'20 "Knowledge Graph Enhanced Event Extraction in Financial Documents." , Guo, K., Jiang, T., and Zhang, H.*, in Proceedings of 2020 IEEE International Conference on Big Data, 2020. (CCF C)
• SBP'14 "Mfingerprint: Privacy-preserving user modeling with multimodal mobile device footprints." , Zhang, H., Yan, Z., Yang, J., Tapia, E. M., and Crandall, D. J., in Proceedings of International Conference on Social Computing, Behavioral-Cultural Modeling, and Prediction, Springer, pp. 195-203, 2014. (oral, 24%)
• IEEE/ACM ASONAM'13 "Chelsea won, and you bought a t-shirt: Characterizing the interplay between twitter and e-commerce." , Zhang, H., Parikh, N., Singh, G., and Sundaresan, N., in Proceedings of the 2013 IEEE/ACM international conference on advances in social networks analysis and mining, ACM, pp. 829-836, 2013. (oral, Best Paper Award)
• WWW'12 "Mining photo-sharing websites to study ecological phenomena." , Zhang, H., Korayem, M., Crandall, D. J., and LeBuhn, G., in Proceedings of the 21st international conference on World Wide Web, ACM, pp. 749-758, 2012. (oral, 12%, CCF A)
• ACM WSDM'12 "Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities." , Zhang, H., Korayem, M., You, E., and Crandall, D. J., in Proceedings of the fifth ACM international conference on Web search and data mining, ACM, pp. 33-42, 2012. (plenary talk, 8.3%, CCF B)

Service

• PC member CIKM2022, 2023, 2024

Students

• Master (2023) Kaihao Guo, first placement: Quant at Uranus research (仲阳天王星量化).
• Master (2023) Shuai Ling, first placement: Algorithm Engineer at DiDi (滴滴出行).
• Master (2023) Kai Peng, Algorithm Engineer at Ping An Technology (平安科技).
• Master (2022) Ziyue Li, interned at Microsoft Research Asia, CS PhD student at University of Maryland.
• Master (2022) Shiwei Lyu, Research Engineer at Alipay (蚂蚁集团).