Qian Li

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 47

Top Topics

Privileged Information

Reinforcement Learning

Causal Inference

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
Counterfactual Explanation for Fairness in Recommendation. ACM Trans. Inf. Syst. 42 (4) (2024)
Tri Dung Duong, Qian Li, Guandong Xu
Achieving counterfactual fairness with imperfect structural causal model. Expert Syst. Appl. 240 (2024)
Tri Dung Duong, Qian Li, Guandong Xu
Causality-based counterfactual explanation for classification models. Knowl. Based Syst. 300 (2024)
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36 (7) (2024)
Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR (2024)
Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu
Counterfactual Explainable Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. 26 (2024)
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) (2023)
Tri Dung Duong, Qian Li, Guandong Xu
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) (2023)
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li
Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Trans. Inf. Syst. 41 (4) (2023)
Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu
Be Causal: De-Biasing Social Network Confounding in Recommendation. ACM Trans. Knowl. Discov. Data 17 (1) (2023)
Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
Causal Optimal Transport for Treatment Effect Estimation. IEEE Trans. Neural Networks Learn. Syst. 34 (8) (2023)
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
Deconfounded recommendation via causal intervention. Neurocomputing 529 (2023)
Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW (2023)
Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) (2022)
Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li
Task-level Relations Modelling for Graph Meta-learning. ICDM (2022)
Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAI (2022)
Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
Deep treatment-adaptive network for causal inference. VLDB J. 31 (5) (2022)
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
Off-policy Learning over Heterogeneous Information for Recommendation. WWW (2022)
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. SIGIR (2022)
Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132 (2022)
Tri Dung Duong, Qian Li, Guandong Xu
Stochastic intervention for causal inference via reinforcement learning. Neurocomputing 482 (2022)
Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24 (2022)
Qian Li, Xiangmeng Wang, Guandong Xu
Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR (2021)
Tri Dung Duong, Qian Li, Guandong Xu
Prototype-based Counterfactual Explanation for Causal Classification. CoRR (2021)
Tri Dung Duong, Qian Li, Guandong Xu
Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR (2021)
Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR (2021)
Chuxiong Sun, Rui Wang, Qian Li, Xiaohui Hu
Reward Space Noise for Exploration in Deep Reinforcement Learning. Int. J. Pattern Recognit. Artif. Intell. 35 (10) (2021)
Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View. CoRR (2021)
Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu
RLINK: Deep reinforcement learning for user identity linkage. World Wide Web 24 (1) (2021)
Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu
Causal-Aware Generative Imputation for Automated Underwriting. CIKM (2021)
Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428 (2021)
Tri Dung Duong, Qian Li, Guandong Xu
Stochastic Intervention for Causal Effect Estimation. IJCNN (2021)
Tri Dung Duong, Qian Li, Guandong Xu
Stochastic Intervention for Causal Effect Estimation. CoRR (2021)
Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR (2020)
Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu
Learning with privileged information for photo aesthetic assessment. Neurocomputing 404 (2020)
Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) (2020)
Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang
Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR (2020)
Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu
Joint Entity Linking with Deep Reinforcement Learning. WWW (2019)
Zhichao Wang, Qian Li, Gang Li, Guandong Xu
Polynomial Representation for Persistence Diagram. CVPR (2019)
Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu
Joint Entity Linking with Deep Reinforcement Learning. CoRR (2019)
Jun Yin, Shaowu Liu, Qian Li, Guandong Xu
Prediction and Analysis of Rumour's Impact on Social Media. BESC (2019)
Qian Li, Zhichao Wang, Gang Li, Yanan Cao, Gang Xiong, Li Guo
Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold. ICCS (2017)
Qian Li, Gang Li, Wenjia Niu, Yanan Cao, Liang Chang, Jianlong Tan, Li Guo
Boosting imbalanced data learning with Wiener process oversampling. Frontiers Comput. Sci. 11 (5) (2017)
Qian Li, Zhichao Wang
Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. AAAI (2017)
Qian Li, Wenjia Niu, Gang Li, Jianlong Tan, Gang Xiong, Li Guo
Riemannian optimization with subspace tracking for low-rank recovery. IJCNN (2016)
Wenjia Niu, Endong Tong, Qian Li, Gang Li, Xuemin Wen, Jianlong Tan, Li Guo
Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy. Knowl. Inf. Syst. 48 (1) (2016)
Qian Li, Wenjia Niu, Gang Li, Endong Tong, Yue Hu, Ping Liu, Li Guo
Recover Fault Services via Complex Service-to-Node Mappings in Wireless Sensor Networks. J. Netw. Syst. Manag. 23 (3) (2015)
Qian Li, Wenjia Niu, Gang Li, Yanan Cao, Jianlong Tan, Li Guo
Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. CIKM (2015)
Wenjia Niu, Gang Li, Endong Tong, Quan Z. Sheng, Qian Li, Yue Hu, Athanasios V. Vasilakos, Li Guo
A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network. J. Netw. Comput. Appl. 44 (2014)
Lei Wu, Ying Pan, Shijun Liu, Qian Li
Construct SaaS Applications from Multi-abstract-level: Method and System. ChinaGrid (2012)
Qian Li, Shijun Liu, Ying Pan
A cooperative construction approach for SaaS applications. CSCWD (2012)
Qian Li, Péter Schaffer, Jun Pang, Sjouke Mauw
Comparative Analysis of Clustering Protocols with Probabilistic Model Checking. TASE (2012)