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Zhixuan Chu
Zhixuan Chu
Alibaba Group
Verified email at alibaba-inc.com
Title
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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
3852021
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, ...
2024 Twelfth International Conference on Learning Representations (ICLR), 2024
592024
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
382021
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
382020
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
372021
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
322020
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, ...
Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24), 2024
242024
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
212023
Causal Effect Estimation: Recent Progress, Challenges, and Opportunities
Z Chu, S Li
Machine Learning for Causal Inference, 79-100, 2023
152023
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
132022
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
112023
Fair attribute completion on graph with missing attributes
D Guo, Z Chu, S Li
The Eleventh International Conference on Learning Representations (ICLR 2023), 2023
112023
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, ...
2024 Twelfth International Conference on Learning Representations (ICLR), 2024
102024
Data-centric financial large language models
Z Chu, H Guo, X Zhou, Y Wang, F Yu, H Chen, W Xu, X Lu, Q Cui, L Li, ...
arXiv preprint arXiv:2310.17784, 2023
92023
Prompt-augmented temporal point process for streaming event sequence
S Xue, Y Wang, Z Chu, X Shi, C Jiang, H Hao, G Jiang, X Feng, JY Zhang, ...
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS …, 2023
82023
Continual Treatment Effect Estimation: Challenges and Opportunities
Z Chu, S Li
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
82023
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
62023
Llm-guided multi-view hypergraph learning for human-centric explainable recommendation
Z Chu, Y Wang, Q Cui, L Li, W Chen, S Li, Z Qin, K Ren
arXiv preprint arXiv:2401.08217, 2024
52024
Trustworthy representation learning across domains
R Zhu, D Guo, D Qi, Z Chu, X Yu, S Li
arXiv preprint arXiv:2308.12315, 2023
52023
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
52022
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Articles 1–20