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Sihao Ding 0003
Person information
- affiliation: University of Science and Technology of China, Hefei, China
Other persons with the same name
- Sihao Ding 0001 — Ohio State University, Columbus, OH, USA
- Sihao Ding 0002 — Volvo Cars, Mountain View, CA,l USA
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2020 – today
- 2024
- [j1]Sihao Ding
, Fuli Feng
, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang
:
Causal Incremental Graph Convolution for Recommender System Retraining. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4718-4728 (2024) - [c5]Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He:
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR 2024 - [c4]Jinqiu Jin
, Sihao Ding
, Wenjie Wang
, Fuli Feng
:
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. WWW (Companion Volume) 2024: 838-841 - [i3]Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng:
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. CoRR abs/2402.03600 (2024) - [i2]Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He:
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR abs/2404.19620 (2024) - 2023
- [c3]Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He:
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. NeurIPS 2023 - 2022
- [c2]Sihao Ding
, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang:
Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. KDD 2022: 305-315 - [c1]Sihao Ding
, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang:
Interpolative Distillation for Unifying Biased and Debiased Recommendation. SIGIR 2022: 40-49 - 2021
- [i1]Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang:
Causal Incremental Graph Convolution for Recommender System Retraining. CoRR abs/2108.06889 (2021)
Coauthor Index
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last updated on 2024-08-08 20:11 CEST by the dblp team
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