Li, Xiaoli

38 publications

ICML 2025 Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation Jiaxuan Zhang, Emadeldeen Eldele, Fuyuan Cao, Yang Wang, Xiaoli Li, Jiye Liang

WACV 2025 Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li

NeurIPS 2025 Reconciling Geospatial Prediction and Retrieval via Sparse Representations Yi Li, Yuanlong Chen, Weiming Huang, Xiaoli Li, Gao Cong

AAAI 2024 Fully-Connected Spatial-Temporal Graph for Multivariate Time-Series Data Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

NeurIPS 2024 Generative Semi-Supervised Graph Anomaly Detection Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang

AAAI 2024 Graph-Aware Contrasting for Multivariate Time-Series Classification Yucheng Wang, Yuecong Xu, Jianfei Yang, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

ECCV 2024 LPViT: Low-Power Semi-Structured Pruning for Vision Transformers Kaixin Xu, Zhe Wang, Chunyun Chen, Xue Geng, Jie Lin, Xulei Yang, Min Wu, Xiaoli Li, Weisi Lin

TMLR 2024 Leveraging Endo- and Exo-Temporal Regularization for Black-Box Video Domain Adaptation Yuecong Xu, Jianfei Yang, Haozhi Cao, Min Wu, Xiaoli Li, Lihua Xie, Zhenghua Chen

NeurIPS 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

ICML 2024 TSLANet: Rethinking Transformers for Time Series Representation Learning Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Xiaoli Li

ICCV 2023 Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li

IJCAI 2023 Distilling Universal and Joint Knowledge for Cross-Domain Model Compression on Time Series Data Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

ICCV 2023 Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin

AAAI 2023 SEnsor Alignment for Multivariate Time-Series Unsupervised Domain Adaptation Yucheng Wang, Yuecong Xu, Jianfei Yang, Zhenghua Chen, Min Wu, Xiaoli Li, Lihua Xie

IJCAI 2023 SemiGNN-PPI: Self-Ensembling Multi-Graph Neural Network for Efficient and Generalizable Protein-Protein Interaction Prediction Ziyuan Zhao, Peisheng Qian, Xulei Yang, Zeng Zeng, Cuntai Guan, Tam Wai Leong, Xiaoli Li

CVPR 2022 DO-GAN: A Double Oracle Framework for Generative Adversarial Networks Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li

AAAI 2022 Generalizing Reinforcement Learning Through Fusing Self-Supervised Learning into Intrinsic Motivation Keyu Wu, Min Wu, Zhenghua Chen, Yuecong Xu, Xiaoli Li

ECML-PKDD 2022 Hyperbolic Deep Keyphrase Generation Yuxiang Zhang, Tianyu Yang, Tao Jiang, Xiaoli Li, Suge Wang

IJCAI 2022 Type-Aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Xiaoli Li, Ru Li, Jeff Z. Pan

IJCAI 2021 Deep Reinforcement Learning Boosted Partial Domain Adaptation Keyu Wu, Min Wu, Jianfei Yang, Zhenghua Chen, Zhengguo Li, Xiaoli Li

IJCAI 2021 Time-Series Representation Learning via Temporal and Contextual Contrasting Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, Chee Keong Kwoh, Xiaoli Li, Cuntai Guan

AAAI 2017 Incorporating Expert Knowledge into Keyphrase Extraction Sujatha Das Gollapalli, Xiaoli Li, Peng Yang

IJCAI 2017 Learning User Dependencies for Recommendation Yong Liu, Peilin Zhao, Xin Liu, Min Wu, Lixin Duan, Xiaoli Li

IJCAI 2017 Multiple Medoids Based Multi-View Relational Fuzzy Clustering with Minimax Optimization Yangtao Wang, Lihui Chen, Xiaoli Li

AAAI 2017 What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao

ECML-PKDD 2016 Detecting Public Influence on News Using Topic-Aware Dynamic Granger Test Lei Hou, Juan-Zi Li, Xiaoli Li, Jianbin Jin

UAI 2016 Efficient Multi-Class Selective Sampling on Graphs Peng Yang, Peilin Zhao, Zhen Hai, Wei Liu, Steven C. H. Hoi, Xiaoli Li

IJCAI 2016 Exploring the Context of Locations for Personalized Location Recommendations Xin Liu, Yong Liu, Xiaoli Li

ICML 2016 Matrix Eigen-Decomposition via Doubly Stochastic Riemannian Optimization Zhiqiang Xu, Peilin Zhao, Jianneng Cao, Xiaoli Li

IJCAI 2015 Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition Jianbo Yang, Minh Nhut Nguyen, Phyo Phyo San, Xiaoli Li, Shonali Krishnaswamy

IJCAI 2013 What Users Care About: A Framework for Social Content Alignment Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, Jie Tang

AAAI 2011 Integrating Community Question and Answer Archives Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng, Guohui Li

IJCAI 2011 Positive Unlabeled Leaning for Time Series Classification Minh Nhut Nguyen, Xiaoli Li, See-Kiong Ng

IJCAI 2007 Learning to Identify Unexpected Instances in the Test Set Xiaoli Li, Bing Liu, See-Kiong Ng

ECML-PKDD 2005 Learning from Positive and Unlabeled Examples with Different Data Distributions Xiaoli Li, Bing Liu

AAAI 2004 Text Classification by Labeling Words Bing Liu, Xiaoli Li, Wee Sun Lee, Philip S. Yu

IJCAI 2003 Learning to Classify Texts Using Positive and Unlabeled Data Xiaoli Li, Bing Liu

ICML 2002 Partially Supervised Classification of Text Documents Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li