Qian Li - RankMe

83 papers A* 9A 6B 2C 1Misc 3Journal 55Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Debiasing Sequential Recommendation with Time-aware Inverse Propensity Scoring. CoRR Sirui Huang, Jing Long, Qian Li, Guandong Xu, 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	J	`jnl`	Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks. ACM Trans. Inf. Syst. Dianer Yu, Qian Li, Huan Huo, Guandong Xu
2025	J	`jnl`	Causal Time-aware News Recommendations with Large Language Models. ACM Trans. Inf. Syst. Sirui Huang, Qian Li, Haoran Yang, Dianer Yu, Qing Li, Guandong Xu
2025	J	`jnl`	Contrastive Modality-Disentangled Learning for Multimodal Recommendation. ACM Trans. Inf. Syst. Xixun Lin, Rui Liu, Yanan Cao, Lixin Zou, Qian Li, Yongxuan Wu, Yang Liu, Dawei Yin, Guandong Xu
2025	J	`jnl`	HOT-GAN: Hilbert Optimal Transport for Generative Adversarial Network. IEEE Trans. Neural Networks Learn. Syst. Qian Li, Zhichao Wang, Haiyang Xia, Gang Li, Yanan Cao, Lina Yao, Guandong Xu
2025	J	`jnl`	Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Dianer Yu, Qian Li, Sirui Huang, Jie Cao, Guandong Xu
2025	J	`jnl`	Long-term river flow forecasting: An integrated deep learning model with multi-scale feature extraction. Expert Syst. Appl. Deguang Wang, Qian Li, Shijun Liu, Li Pan, Jun Li
2024	J	`jnl`	Achieving counterfactual fairness with imperfect structural causal model. Expert Syst. Appl. Tri Dung Duong, Qian Li, Guandong Xu
2024	J	`jnl`	Causality-based counterfactual explanation for classification models. Knowl. Based Syst. Tri Dung Duong, Qian Li, Guandong Xu
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`	DGERCL: A Dynamic Graph Embedding Approach for Root Cause Localization in Microservice Systems. IEEE Trans. Serv. Comput. Han Cheng, Qian Li, Bingchen Liu, Shijun Liu, Li Pan
2024	A	`conf`	Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. ISSTA Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024	J	`jnl`	Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
2024	J	`jnl`	LIHAN: A Lattice-Guided Incomplete Heterogeneous Information Network Embedding Model for Node Classification. IEEE Trans. Comput. Soc. Syst. Guangxu Mei, Ziyu Guo, Li Pan, Qian Li, Feng Li, Shijun Liu
2024	J	`jnl`	Neural Causal Graph collaborative filtering. Inf. Sci. Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu
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
2024	J	`jnl`	Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu
2023	J	`jnl`	Achieving Counterfactual Fairness with Imperfect Structural Causal Model. CoRR Tri Dung Duong, Qian 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`	Causal Optimal Transport for Treatment Effect Estimation. IEEE Trans. Neural Networks Learn. Syst. Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
2023	A	`conf`	Causality-guided Graph Learning for Session-based Recommendation. CIKM Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu
2023	—	`conf`	CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) Tri Dung Duong, Qian Li, Guandong Xu
2023	J	`jnl`	CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows. CoRR Tri Dung Duong, Qian Li, 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
2023	A	`conf`	Dynamic Communications Network Linking Prediction by Disseminating Event Embedding. ICWS Han Cheng, Qian Li, Zhihong Cui, Shijun Liu, Li Pan
2023	J	`jnl`	Explainable Hyperbolic Temporal Point Process for User-Item Interaction Sequence Generation. ACM Trans. Inf. Syst. Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Shirui Pan, Zheng Lin, Qian Li
2023	A*	`conf`	Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. WWW Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Xiangyu Zhao, Guandong Xu
2023	J	`jnl`	Heterogeneous graphlets-guided network embedding via eulerian-trail-based representation. Inf. Sci. Guangxu Mei, Siyuan Ye, Shijun Liu, Li Pan, Qian Li
2023	J	`jnl`	How the four-nodes motifs work in heterogeneous node representation? World Wide Web (WWW) Siyuan Ye, Qian Li, Guangxu Mei, Shijun Liu, Li Pan
2023	A	`conf`	SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. WSDM Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen
2023	—	`conf`	Toward Explainable Recommendation via Counterfactual Reasoning. PAKDD (3) Haiyang Xia, Qian Li, Zhichao Wang, Gang Li
2022	J	`jnl`	API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, 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	J	`jnl`	Deep treatment-adaptive network for causal inference. VLDB J. Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
2022	J	`jnl`	Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. CoRR Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu
2022	A*	`conf`	How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. AAAI Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
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`	Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. Yangyang Shu, Qian Li, Lingqiao Liu, 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
2022	J	`jnl`	Stochastic intervention for causal inference via reinforcement learning. Neurocomputing Tri Dung Duong, Qian Li, Guandong Xu
2022	A*	`conf`	Task-level Relations Modelling for Graph Meta-learning. ICDM Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li
2022	J	`jnl`	V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
2021	J	`jnl`	Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR Qian Li, Xiangmeng Wang, Guandong Xu
2021	A	`conf`	Causal-Aware Generative Imputation for Automated Underwriting. CIKM Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu
2021	J	`jnl`	Deep Treatment-Adaptive Network for Causal Inference. CoRR Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu
2021	Misc	`conf`	Harnessing Privileged Information for Hyperbole Detection. ALTA Rhys Biddle, Maciek Rybinski, Qian Li, Cécile Paris, Guandong Xu
2021	A*	`conf`	Hilbert Sinkhorn Divergence for Optimal Transport. CVPR Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu
2021	J	`jnl`	How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View. CoRR Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li
2021	J	`jnl`	Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
2021	J	`jnl`	Prototype-based Counterfactual Explanation for Causal Classification. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2021	J	`jnl`	RLINK: Deep reinforcement learning for user identity linkage. World Wide Web Xiaoxue Li, Yanan Cao, Qian Li, Yanmin Shang, Yangxi Li, Yanbing Liu, Guandong Xu
2021	J	`jnl`	Reward Space Noise for Exploration in Deep Reinforcement Learning. Int. J. Pattern Recognit. Artif. Intell. Chuxiong Sun, Rui Wang, Qian Li, Xiaohui Hu
2021	B	`conf`	Stochastic Intervention for Causal Effect Estimation. IJCNN Tri Dung Duong, Qian Li, Guandong Xu
2021	J	`jnl`	Stochastic Intervention for Causal Effect Estimation. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2021	J	`jnl`	Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR Tri Dung Duong, Qian Li, Guandong Xu
2020	J	`jnl`	Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang
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`	Learning with privileged information for photo aesthetic assessment. Neurocomputing Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu
2020	J	`jnl`	Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu
2019	A*	`conf`	Joint Entity Linking with Deep Reinforcement Learning. WWW Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu
2019	J	`jnl`	Joint Entity Linking with Deep Reinforcement Learning. CoRR Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu
2019	A*	`conf`	Polynomial Representation for Persistence Diagram. CVPR Zhichao Wang, Qian Li, Gang Li, Guandong Xu
2019	—	`conf`	Prediction and Analysis of Rumour's Impact on Social Media. BESC Jun Yin, Shaowu Liu, Qian Li, Guandong Xu
2017	J	`jnl`	Boosting imbalanced data learning with Wiener process oversampling. Frontiers Comput. Sci. Qian Li, Gang Li, Wenjia Niu, Yanan Cao, Liang Chang, Jianlong Tan, Li Guo
2017	Misc	`conf`	Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold. ICCS Qian Li, Zhichao Wang, Gang Li, Yanan Cao, Gang Xiong, Li Guo
2017	A*	`conf`	Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. AAAI Qian Li, Zhichao Wang
2016	J	`jnl`	Exploring probabilistic follow relationship to prevent collusive peer-to-peer piracy. Knowl. Inf. Syst. Wenjia Niu, Endong Tong, Qian Li, Gang Li, Xuemin Wen, Jianlong Tan, Li Guo
2016	B	`conf`	Riemannian optimization with subspace tracking for low-rank recovery. IJCNN Qian Li, Wenjia Niu, Gang Li, Jianlong Tan, Gang Xiong, Li Guo
2015	A	`conf`	Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. CIKM Qian Li, Wenjia Niu, Gang Li, Yanan Cao, Jianlong Tan, Li Guo
2015	J	`jnl`	Recover Fault Services via Complex Service-to-Node Mappings in Wireless Sensor Networks. J. Netw. Syst. Manag. Qian Li, Wenjia Niu, Gang Li, Endong Tong, Yue Hu, Ping Liu, Li Guo
2014	J	`jnl`	A block-aware hybrid data dissemination with hotspot elimination in wireless sensor network. J. Netw. Comput. Appl. Wenjia Niu, Gang Li, Endong Tong, Quan Z. Sheng, Qian Li, Yue Hu, Athanasios V. Vasilakos, Li Guo
2012	C	`conf`	A cooperative construction approach for SaaS applications. CSCWD Qian Li, Shijun Liu, Ying Pan
2012	Misc	`conf`	Comparative Analysis of Clustering Protocols with Probabilistic Model Checking. TASE Qian Li, Péter Schaffer, Jun Pang, Sjouke Mauw
2012	—	`conf`	Construct SaaS Applications from Multi-abstract-level: Method and System. ChinaGrid Lei Wu, Ying Pan, Shijun Liu, Qian Li