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2020 – today
- 2026
[c11]Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan
, Shijie Zhang, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li:
Multi-agent Causal Reasoning for Suicide Ideation Detection Through Online Conversations. DASFAA (5) 2026: 53-69- [c10]Xiangmeng Wang, Qian Li, Haiyang Xia, Hao Miao, Qing Li, Guandong Xu:
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning. SIGIR 2026: 1846-1856 - [c9]Jun Li, Xiangmeng Wang, Ziyan Zhang, Qun Zhao, Hong Va Leong, Qing Li:
Suicide Risk Prediction via Comment-Influenced Mental State Trajectories. WWW (Companion Volume) 2026: 1115-1120 - [e1]Baltasar Fernández-Manjón, António José Mendes, Marco Temperini, Zuzana Kubincová, Marc Spaniol, Guandong Xu, Elvira Popescu, Tianyong Hao, Xiangmeng Wang, Shuning He:
Learning Technologies and Systems - 24th International Conference on Web-based Learning, lCWL 2025 and 10th International Symposium on Emerging Technologies for Education, SETE 2025, Hongkong, China, November 30 - December 3, 2025, Revised Selected Papers. Lecture Notes in Computer Science 16425, Springer 2026, ISBN 978-981-92-0041-2 [contents] - [i8]Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan, Shijie Zhang, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li:
Multi-Agent Causal Reasoning for Suicide Ideation Detection Through Online Conversations. CoRR abs/2602.23577 (2026) - [i7]Xiangmeng Wang, Qian Li, Haiyang Xia, Hao Miao, Qing Li, Guandong Xu:
Inductive Subgraphs as Shortcuts: Causal Disentanglement for Heterophilic Graph Learning. CoRR abs/2604.19186 (2026) - 2025
- [j10]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. IEEE Trans. Knowl. Data Eng. 37(5): 2169-2182 (2025) - [c8]Runze Mao, Xiao Chen, Chun Hin Chan, Xiangmeng Wang, Wenqi Fan, Qing Li:
Discrimination-Free Condensation for Large-Scale Graphs. lCWL/SETE 2025: 273-284 - [c7]Jun Li, Xiangmeng Wang, Yifei Yan, Haoyang Li, Hong Va Leong, Nancy Xiaonan Yu, Qing Li:
DynaProtect: A Dynamic Factor Influence Learning Framework for Protective Factor-aware Suicide Risk Prediction. WWW (Companion Volume) 2025: 1785-1791 - [i6]Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li:
Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media. CoRR abs/2507.10008 (2025) - 2024
- [j9]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu:
Neural Causal Graph collaborative filtering. Inf. Sci. 677: 120872 (2024) - [j8]Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu:
Counterfactual Explainable Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 36(6): 2388-2400 (2024) - [j7]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3443-3459 (2024) - [j6]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. ACM Trans. Inf. Syst. 42(4): 106:1-106:30 (2024) - [j5]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. Trans. Recomm. Syst. 2(4): 29:1-29:27 (2024) - [c6]Jun Li, Yifei Yan, Ziyan Zhang, Xiangmeng Wang, Hong Va Leong, Nancy Xiaonan Yu, Qing Li:
Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social Media. IEEE Big Data 2024: 8532-8540 - [c5]Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li:
Counterfactual Debasing for Multi-behavior Recommendations. DASFAA (3) 2024: 164-179 - 2023
- [j4]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
Deconfounded recommendation via causal intervention. Neurocomputing 529: 128-139 (2023) - [j3]Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu:
Be Causal: De-Biasing Social Network Confounding in Recommendation. ACM Trans. Knowl. Discov. Data 17(1): 14:1-14:23 (2023) - [j2]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 9836-9849 (2023) - [i5]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu:
Causal Neural Graph Collaborative Filtering. CoRR abs/2307.04384 (2023) - [i4]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. CoRR abs/2307.04386 (2023) - 2022
- [c4]Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) 2022: 249-261 - [c3]Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu:
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. SIGIR 2022: 1369-1378 - [c2]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. WWW 2022: 2348-2359 - [i3]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. CoRR abs/2202.02576 (2022) - [i2]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. CoRR abs/2207.06674 (2022) - 2021
- [i1]Qian Li, Xiangmeng Wang, Guandong Xu:
Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR abs/2105.07775 (2021) - 2020
- [j1]Syed Muhammad Raza Abidi, Yonglin Xu, Jianyue Ni, Xiangmeng Wang, Wu Zhang:
Popularity prediction of movies: from statistical modeling to machine learning techniques. Multim. Tools Appl. 79(47): 35583-35617 (2020) - [c1]Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) 2020: 168-180
Coauthor Index
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