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Haoxuan Li
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On the opportunity of causal learning in recommendation systems: Foundation, estimation, prediction and challenges
P Wu*, H Li*, Y Deng, W Hu, Q Dai, Z Dong, J Sun, R Zhang, XH Zhou
IJCAI (Survey Track) 2022, 2022
512022
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random
H Li, C Zheng, P Wu
ICLR 2023, 2023
35*2023
A generalized doubly robust learning framework for debiasing post-click conversion rate prediction
Q Dai, H Li, P Wu, Z Dong, XH Zhou, R Zhang, R Zhang, J Sun
KDD 2022, 2022
302022
Balancing unobserved confounding with a few unbiased ratings in debiased recommendations
H Li, Y Xiao, C Zheng, P Wu
WWW 2023, 2023
252023
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
H Li, Y Lyu, C Zheng, P Wu
ICLR 2023, 2022
252022
Multiple Robust Learning for Recommendation
H Li*, Q Dai*, Y Li, Y Lyu, Z Dong, P Wu, XH Zhou
AAAI 2023, 2022
212022
Propensity Matters: Measuring and Enhancing Balancing for Recommendation
H Li, Y Xiao, C Zheng, P Wu, P Cui
ICML 2023, 2023
192023
Optimal transport for treatment effect estimation
H Wang, J Fan, Z Chen, H Li, W Liu, T Liu, Q Dai, Y Wang, Z Dong, ...
NeurIPS 2023, 2024
182024
Causal recommendation: Progresses and future directions
W Wang, Y Zhang, H Li, P Wu, F Feng, X He
SIGIR (Tutorial) 2023, 2023
162023
Trustworthy Policy Learning under the Counterfactual No-Harm Criterion
H Li, C Zheng, Y Cao, Z Geng, Y Liu, P Wu
ICML 2023, 2023
152023
Removing hidden confounding in recommendation: a unified multi-task learning approach
H Li, K Wu, C Zheng, Y Xiao, H Wang, Z Geng, F Feng, X He, P Wu
NeurIPS 2023, 2024
92024
Who should be given incentives? counterfactual optimal treatment regimes learning for recommendation
H Li, C Zheng, P Wu, K Kuang, Y Liu, P Cui
KDD 2023, 2023
92023
MetaCoCo: A new few-shot classification benchmark with spurious correlation
M Zhang, H Li, F Wu, K Kuang
ICLR 2024, 2024
72024
Transfr: Transferable federated recommendation with pre-trained language models
H Zhang, H Liu, H Li, Y Li
arXiv preprint arXiv:2402.01124, 2024
52024
Debiased collaborative filtering with kernel-based causal balancing
H Li, C Zheng, Y Xiao, P Wu, Z Geng, X Chen, P Cui
ICLR 2024 (Spotlight), 2024
42024
Pareto Invariant Representation Learning for Multimedia Recommendation
S Huang*, H Li*, Q Li, C Zheng, L Liu
MM 2023, 2023
42023
CounterCLR: Counterfactual contrastive learning with non-random missing data in recommendation
J Wang, H Li, C Zhang, D Liang, E Yu, W Ou, W Wang
ICDM 2023, 2023
32023
Contrastive balancing representation learning for heterogeneous dose-response curves estimation
M Zhu, A Wu, H Li, R Xiong, B Li, X Yang, X Qin, P Zhen, J Guo, F Wu, ...
AAAI 2024, 2024
22024
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach
J Jin*, H Li*, F Feng, S Ding, P Wu, X He
NeurIPS 2023, 2024
22024
Convformer: Revisiting transformer for sequential user modeling
H Wang, J Lian, M Wu, H Li, J Fan, W Xu, C Li, X Xie
arXiv preprint arXiv:2308.02925, 2023
22023
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Articles 1–20