Xiangmeng Wang

24 papers A* 2B 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-Agent Causal Reasoning for Suicide Ideation Detection Through Online Conversations.
CoRR
Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan, Shijie Zhang, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li
2025 J jnl
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2025 — conf
DynaProtect: A Dynamic Factor Influence Learning Framework for Protective Factor-aware Suicide Risk Prediction.
WWW (Companion Volume)
Jun Li, Xiangmeng Wang, Yifei Yan, Haoyang Li, Hong Va Leong, Nancy Xiaonan Yu, Qing Li
2025 J jnl
Protective Factor-Aware Dynamic Influence Learning for Suicide Risk Prediction on Social Media.
CoRR
Jun Li, Xiangmeng Wang, Haoyang Li, Yifei Yan, Hong Va Leong, Ling Feng, Nancy Xiaonan Yu, Qing Li
2024 J jnl
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation.
Trans. Recomm. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 — conf
Counterfactual Debasing for Multi-behavior Recommendations.
DASFAA (3)
Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li
2024 J jnl
Counterfactual Explainable Conversational Recommendation.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu
2024 J jnl
Counterfactual Explanation for Fairness in Recommendation.
ACM Trans. Inf. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 J jnl
Neural Causal Graph collaborative filtering.
Inf. Sci.
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu
2024 B conf
Overview of IEEE BigData 2024 Cup Challenges: Suicide Ideation Detection on Social Media.
IEEE Big Data
Jun Li, Yifei Yan, Ziyan Zhang, Xiangmeng Wang, Hong Va Leong, Nancy Xiaonan Yu, Qing Li
2024 J jnl
Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
Be Causal: De-Biasing Social Network Confounding in Recommendation.
ACM Trans. Knowl. Discov. Data
Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu
2023 J jnl
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2023 J jnl
Causal Neural Graph Collaborative Filtering.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu
2023 J jnl
Counterfactual Explanation for Fairness in Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
Deconfounded recommendation via causal intervention.
Neurocomputing
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2022 J jnl
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2022 A* conf
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.
SIGIR
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu
2022 A* conf
Off-policy Learning over Heterogeneous Information for Recommendation.
WWW
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 J jnl
Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 — conf
Semantics-Guided Disentangled Learning for Recommendation.
PAKDD (1)
Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu
2021 J jnl
Be Causal: De-biasing Social Network Confounding in Recommendation.
CoRR
Qian Li, Xiangmeng Wang, Guandong Xu
2020 — conf
Joint Relational Dependency Learning for Sequential Recommendation.
PAKDD (1)
Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu
2020 J jnl
Popularity prediction of movies: from statistical modeling to machine learning techniques.
Multim. Tools Appl.
Syed Muhammad Raza Abidi, Yonglin Xu, Jianyue Ni, Xiangmeng Wang, Wu Zhang