Zhixuan Chu

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Sheng LiAssociate Professor of Data Science, University of VirginiaVerified email at virginia.edu
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Liuyi YaoAlibaba GroupVerified email at alibaba-inc.com
Aidong Zhang, Fellow of ACM, IEEE, a...Professor of Computer Science, University of VirginiaVerified email at virginia.edu
Yaliang LiAlibaba GroupVerified email at alibaba-inc.com
Siqiao XueAnt Group, AlibabaVerified email at polytechnique.edu
Yan WangNanjing UniversityVerified email at smail.nju.edu.cn
Jun ZhouAnt GroupVerified email at antfin.com
Benjamin D. BoudreauxColumbia University Irving Medical CenterVerified email at cumc.columbia.edu
Michael D. SchmidtAssociate Professor of Kinesiology, University of GeorgiaVerified email at uga.edu
Peng CuiDepartment of Computer Science, Tsinghua UniversityVerified email at tsinghua.edu.cn
Jinjie Gu蚂蚁金服Verified email at antgroup.com
Kyle JohnsenUniversity of GeorgiaVerified email at uga.edu
Lindsay HahnUniversity at Buffalo, State University of New YorkVerified email at buffalo.edu
Sun Joo (Grace) AhnProfessor, Grady College of Journalism and Mass Communication, University of GeorgiaVerified email at uga.edu
Hongyuan MeiToyota Technology Institute at Chicago, Johns Hopkins University, The University of ChicagoVerified email at ttic.edu
Lintao MaAnt GroupVerified email at antgroup.com
Wei WeiProfessor, School of Computer Science and Technology, Huazhong University of ScienceVerified email at hust.edu.cn
Jose F. CorderoUniversity of GeorgiaVerified email at uga.edu
Eric NovotnyWorkplace Research at HaworthVerified email at haworth.com

Zhixuan Chu

Alibaba Group

Verified email at alibaba-inc.com


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A survey on causal inference L Yao, Z Chu, S Li, Y Li, J Gao, A Zhang ACM Transactions on Knowledge Discovery from Data (TKDD) 15 (5), 1-46, 2021	305	2021
Graph infomax adversarial learning for treatment effect estimation with networked observational data Z Chu, SL Rathbun, S Li Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021	32	2021
Knowledge-guided article embedding refinement for session-based news recommendation HS Sheu, Z Chu, D Qi, S Li IEEE Transactions on Neural Networks and Learning Systems 33 (12), 7921-7927, 2021	30	2021
Causal inference meets machine learning P Cui, Z Shen, S Li, L Yao, Y Li, Z Chu, J Gao Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	29	2020
Matching in selective and balanced representation space for treatment effects estimation Z Chu, SL Rathbun, S Li Proceedings of the 29th ACM International Conference on Information …, 2020	25	2020
Learning infomax and domain-independent representations for causal effect inference with real-world data Z Chu, SL Rathbun, S Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022	14	2022
Continual causal inference with incremental observational data Z Chu, R Li, S Rathbun, S Li The 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023	8	2023
Causal effect estimation: Recent advances, challenges, and opportunities Z Chu, J Huang, R Li, W Chu, S Li arXiv preprint arXiv:2302.00848, 2023	7	2023
Continual Treatment Effect Estimation: Challenges and Opportunities Z Chu, S Li Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023	7	2023
TIME-LLM: TIME SERIES FORECASTING BY REPRO-GRAMMING LARGE LANGUAGE MODELS M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ...	5	2023
Leveraging large language models for pre-trained recommender systems Z Chu, H Hao, X Ouyang, S Wang, Y Wang, Y Shen, J Gu, Q Cui, L Li, ... arXiv preprint arXiv:2308.10837, 2023	5	2023
Enhancing recommender systems with large language model reasoning graphs Y Wang, Z Chu, X Ouyang, S Wang, H Hao, Y Shen, J Gu, S Xue, ... arXiv preprint arXiv:2308.10835, 2023	5	2023
Easytpp: Towards open benchmarking the temporal point processes S Xue, X Shi, Z Chu, Y Wang, F Zhou, H Hao, C Jiang, C Pan, Y Xu, ... arXiv preprint arXiv:2307.08097, 2023	5	2023
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting Y Zhou, Z Chu, Y Ruan, G Jin, Y Huang, S Li 2023 International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023	5	2023
Hierarchical capsule prediction network for marketing campaigns effect Z Chu, H Ding, G Zeng, Y Huang, T Yan, Y Kang, S Li Proceedings of the 31st ACM International Conference on Information …, 2022	5	2022
Multi-task adversarial learning for treatment effect estimation in basket trials Z Chu, SL Rathbun, S Li Conference on Health, Inference, and Learning, 79-91, 2022	5	2022
Continual Learning in Predictive Autoscaling H Hao, Z Chu, S Zhu, G Jiang, Y Wang, C Jiang, J Zhang, W Jiang, S Xue, ... Conference on Information and Knowledge Management (CIKM 2023), 2023	4	2023
Fair attribute completion on graph with missing attributes D Guo, Z Chu, S Li The Eleventh International Conference on Learning Representations (ICLR 2023), 2023	4	2023
Incorporating Casual Analysis into Diversified and Logical Response Generation J Liu, W Wei, Z Chu, X Gao, J Zhang, T Yan, Y Kang THE 29TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL LINGUISTICS (COLING 2022), 2022	4	2022
Continual lifelong causal effect inference with real world evidence Z Chu, S Rathbun, S Li	4	2020

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