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ORCIDQian Li 0003
Person information
- affiliation: Curtin University, Perth, WA, Australia
- affiliation (2019 - 2021): University of Technology Sydney, NSW, Australia
- affiliation (former): Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- not to be confused with: Qian Li 0006
Other persons with the same name
- Qian Li — disambiguation page
- Qian Li 0001
![[0000-0002-5738-0484]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5738-0484")
— Harbin Institute of Technology, Department of Electrical Engineering and Automation, China - Qian Li 0002 — Beijing University of Posts and Telecommunications, MoE Key Laboratory of Universal Wireless Communications, China
- Qian Li 0004 — Boston University, Department of Biomedical Engineering, MA, USA
- Qian Li 0005 — University of California, Santa Cruz, Computer Engineering Department, CA, USA
- Qian Li 0006 — University of Technology Sydney, FEIT, Ultimo, Australia
- Qian Li 0007 — Xidian University, State Key Laboratory of ISN, Xi'an, China
- Qian Li 0008 — Nanjing University, School of Management and Engineering, China
- Qian Li 0009 — Beijing University of Posts and Telecommunications, Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, China (and 1 more)
- Qian Li 0010 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Qian Li 0011 — University of Foreign Studies, Guangzhou, China
- Qian Li 0012 — Shenzhen University, Guangdong Province Key Laboratory of Popular High Performance Computers, Shenzhen, China (and 2 more)
- Qian Li 0013 — Xi'an Jiaotong University, Department of Computer Science and Technology, Xi'an, China
- Qian Li 0014 — National University of Defense Technology, College of Meteorology and Oceanography, Nanjing, China (and 2 more)
- Qian (Clara) Li (aka: Qian Li 0015) — Intel Corporation, Communication and Devices Group, Santa Clara, CA, USA (and 2 more)
- Qian Li 0016 — Nankai University, College of Computer and Control Engineering, Tianjin, China
- Qian Li 0017 — Ningbo University of Finance and Economics, College of Digital Technology and Engineering, Ningbo, China (and 1 more)
- Qian Li 0018 — Renmin University of China, School of Information, Beijing, China
- Qian Li 0019 — Wuhan Institute of Technology, School of Electrical and Information Engineering, Wuhan, China
- Qian Li 0020 — East China Jiaotong University, School of Electrical and Automation Engineering, Nanchang, China
- Qian Li 0021 — Zhejiang University, College of Energy Engineering, Hangzhou, China
- Qian Li 0022 — Beijing Wuzi University, School of Information, Beijing, China
- Qian Li 0023 — University of South Florida, Health Informatics Institute, Tampa, FL, USA (and 1 more)
- Qian Li 0024 — Xi'an Jiaotong University, Xi'an, China
- Qian Li 0025 — University of Twente, Department of Communication Science, Enschede, Netherlands
- Qian Li 0026 — Xidian University, School of Telecommunications Engineering, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Qian Li 0027 — DBOS Inc., Sunnyvale. CA, USA (and 2 more)
- Qian Li 0028 — Boston University, Department of Physics, Center for Polymer Studies, Boston, MA, USA
- Qian Li 0029 — Capital University of Economics and Business, School of Management and Engineering, Beijing, China
- Qian Li 0030 — Chinese Academy of Sciences, Xinjiang Institute of Ecology and Geography, Urumqi, China
- Qian Li 0031 — Stony Brook University, Department of Applied Mathematics and Statistics, Stony Brook, NY, USA
- Qian Li 0032 — Harvard Medical School, Massachusetts General Hospital, Department of Radiology, Center for Ultrasound Research & Translation (CURT), Boston, MA, USA
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2020 – today
- 2024
[j28]Tri Dung Duong, Qian Li, Guandong Xu:
Achieving counterfactual fairness with imperfect structural causal model. Expert Syst. Appl. 240: 122411 (2024)- [j27]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu:
Neural Causal Graph collaborative filtering. Inf. Sci. 677: 120872 (2024) - [j26]Tri Dung Duong, Qian Li, Guandong Xu:
Causality-based counterfactual explanation for classification models. Knowl. Based Syst. 300: 112200 (2024) - [j25]Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu:
Counterfactual Explainable Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 36(6): 2388-2400 (2024) - [j24]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) - [j23]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Semi-Supervised Adversarial Learning for Attribute-Aware Photo Aesthetic Assessment. IEEE Trans. Multim. 26: 4086-4096 (2024) - [j22]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) - [j21]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) - [c26]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. ISSTA 2024: 389-401 - [i17]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 abs/2404.15687 (2024) - 2023
- [j20]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
Deconfounded recommendation via causal intervention. Neurocomputing 529: 128-139 (2023) - [j19]Guangxu Mei, Siyuan Ye, Shijun Liu, Li Pan, Qian Li:
Heterogeneous graphlets-guided network embedding via eulerian-trail-based representation. Inf. Sci. 622: 1050-1063 (2023) - [j18]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) - [j17]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) - [j16]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): 4083-4095 (2023) - [j15]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): 83:1-83:26 (2023) - [j14]Siyuan Ye, Qian Li, Guangxu Mei, Shijun Liu, Li Pan:
How the four-nodes motifs work in heterogeneous node representation? World Wide Web (WWW) 26(4): 1707-1729 (2023) - [c25]Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu:
Causality-guided Graph Learning for Session-based Recommendation. CIKM 2023: 3083-3093 - [c24]Han Cheng, Qian Li, Zhihong Cui, Shijun Liu, Li Pan:
Dynamic Communications Network Linking Prediction by Disseminating Event Embedding. ICWS 2023: 57-63 - [c23]Haiyang Xia, Qian Li, Zhichao Wang, Gang Li:
Toward Explainable Recommendation via Counterfactual Reasoning. PAKDD (3) 2023: 3-15 - [c22]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data Using Normalizing Flows. PAKDD (2) 2023: 133-144 - [c21]Boyu Li, Ting Guo, Xingquan Zhu, Qian Li, Yang Wang, Fang Chen:
SGCCL: Siamese Graph Contrastive Consensus Learning for Personalized Recommendation. WSDM 2023: 589-597 - [c20]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: 621-629 - [i16]Tri Dung Duong, Qian Li, Guandong Xu:
Achieving Counterfactual Fairness with Imperfect Structural Causal Model. CoRR abs/2303.14665 (2023) - [i15]Tri Dung Duong, Qian Li, Guandong Xu:
CeFlow: A Robust and Efficient Counterfactual Explanation Framework for Tabular Data using Normalizing Flows. CoRR abs/2303.14668 (2023) - [i14]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu:
Causal Neural Graph Collaborative Filtering. CoRR abs/2307.04384 (2023) - [i13]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. CoRR abs/2307.04386 (2023) - 2022
- [j13]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic intervention for causal inference via reinforcement learning. Neurocomputing 482: 40-49 (2022) - [j12]Yangyang Shu, Qian Li, Lingqiao Liu, Guandong Xu:
Privileged multi-task learning for attribute-aware aesthetic assessment. Pattern Recognit. 132: 108921 (2022) - [j11]Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu:
V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. 24: 876-889 (2022) - [j10]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep treatment-adaptive network for causal inference. VLDB J. 31(5): 1127-1142 (2022) - [j9]Yuchen Zhou, Yanmin Shang, Yanan Cao, Qian Li, Chuan Zhou, Guandong Xu:
API-GNN: attribute preserving oriented interactive graph neural network. World Wide Web 25(1): 239-258 (2022) - [c19]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: 5781-5791 - [c18]Yuchen Zhou, Yanan Cao, Yanmin Shang, Chuan Zhou, Chuancheng Song, Fengzhao Shi, Qian Li:
Task-level Relations Modelling for Graph Meta-learning. ICDM 2022: 813-822 - [c17]Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) 2022: 249-261 - [c16]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 - [c15]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. WWW 2022: 2348-2359 - [i12]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) - [i11]Haoran Yang, Hongxu Chen, Sixiao Zhang, Xiangguo Sun, Qian Li, Guandong Xu:
Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning. CoRR abs/2207.00148 (2022) - [i10]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. CoRR abs/2207.06674 (2022) - 2021
- [j8]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging multi-level dependency of relational sequences for social spammer detection. Neurocomputing 428: 130-141 (2021) - [j7]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): 2152013:1-2152013:21 (2021) - [j6]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): 85-103 (2021) - [c14]Qian Li, Tri Dung Duong, Zhichao Wang, Shaowu Liu, Dingxian Wang, Guandong Xu:
Causal-Aware Generative Imputation for Automated Underwriting. CIKM 2021: 3916-3924 - [c13]Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu:
Hilbert Sinkhorn Divergence for Optimal Transport. CVPR 2021: 3835-3844 - [c12]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. IJCNN 2021: 1-8 - [i9]Tri Dung Duong, Qian Li, Guandong Xu:
Prototype-based Counterfactual Explanation for Causal Classification. CoRR abs/2105.00703 (2021) - [i8]Qian Li, Xiangmeng Wang, Guandong Xu:
Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR abs/2105.07775 (2021) - [i7]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Effect Estimation. CoRR abs/2105.12898 (2021) - [i6]Tri Dung Duong, Qian Li, Guandong Xu:
Stochastic Intervention for Causal Inference via Reinforcement Learning. CoRR abs/2105.13514 (2021) - [i5]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 abs/2109.11800 (2021) - [i4]Qian Li, Zhichao Wang, Shaowu Liu, Gang Li, Guandong Xu:
Deep Treatment-Adaptive Network for Causal Inference. CoRR abs/2112.13502 (2021) - 2020
- [j5]Yangyang Shu, Qian Li, Shaowu Liu, Guandong Xu:
Learning with privileged information for photo aesthetic assessment. Neurocomputing 404: 304-316 (2020) - [c11]Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) 2020: 168-180 - [i3]Guandong Xu, Tri Dung Duong, Qian Li, Shaowu Liu, Xianzhi Wang:
Causality Learning: A New Perspective for Interpretable Machine Learning. CoRR abs/2006.16789 (2020) - [i2]Jun Yin, Qian Li, Shaowu Liu, Zhiang Wu, Guandong Xu:
Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection. CoRR abs/2009.06231 (2020)
2010 – 2019
- 2019
- [c10]Jun Yin, Shaowu Liu, Qian Li, Guandong Xu:
Prediction and Analysis of Rumour's Impact on Social Media. BESC 2019: 1-6 - [c9]Zhichao Wang, Qian Li, Gang Li, Guandong Xu:
Polynomial Representation for Persistence Diagram. CVPR 2019: 6123-6132 - [c8]Zheng Fang, Yanan Cao, Qian Li, Dongjie Zhang, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. WWW 2019: 438-447 - [i1]Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. CoRR abs/1902.00330 (2019) - 2017
- [j4]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): 836-851 (2017) - [c7]Qian Li, Zhichao Wang:
Riemannian Submanifold Tracking on Low-Rank Algebraic Variety. AAAI 2017: 2196-2202 - [c6]Qian Li, Zhichao Wang, Gang Li, Yanan Cao, Gang Xiong, Li Guo:
Learning Robust Low-Rank Approximation for Crowdsourcing on Riemannian Manifold. ICCS 2017: 285-294 - 2016
- [j3]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): 111-141 (2016) - [c5]Qian Li, Wenjia Niu, Gang Li, Jianlong Tan, Gang Xiong, Li Guo:
Riemannian optimization with subspace tracking for low-rank recovery. IJCNN 2016: 3280-3287 - 2015
- [j2]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): 474-501 (2015) - [c4]Qian Li, Wenjia Niu, Gang Li, Yanan Cao, Jianlong Tan, Li Guo:
Lingo: Linearized Grassmannian Optimization for Nuclear Norm Minimization. CIKM 2015: 801-809 - 2014
- [j1]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: 120-133 (2014) - 2012
- [c3]Lei Wu, Ying Pan, Shijun Liu, Qian Li:
Construct SaaS Applications from Multi-abstract-level: Method and System. ChinaGrid 2012: 107-114 - [c2]Qian Li, Shijun Liu, Ying Pan:
A cooperative construction approach for SaaS applications. CSCWD 2012: 398-403 - [c1]Qian Li, Péter Schaffer, Jun Pang, Sjouke Mauw:
Comparative Analysis of Clustering Protocols with Probabilistic Model Checking. TASE 2012: 249-252
Coauthor Index
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