Liang, Jiye

35 publications

MLJ 2025 An Efficient Bayes Error Rate Estimation Method Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang

NeurIPS 2025 Automatic Visual Instrumental Variable Learning for Confounding-Resistant Domain Generalization Fuyuan Cao, Shichang Qiao, Kui Yu, Jiye Liang

NeurIPS 2025 CMoB: Modality Valuation via Causal Effect for Balanced Multimodal Learning Jun Wang, Fuyuan Cao, ZhixinXue, Xingwang Zhao, Jiye Liang

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

ICML 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio

NeurIPS 2025 FANS: A Flatness-Aware Network Structure for Generalization in Offline Reinforcement Learning Da Wang, Yi Ma, Ting Guo, Hongyao Tang, Wei Wei, Jiye Liang

ICML 2025 Federated Causal Structure Learning with Non-Identical Variable Sets Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

AAAI 2025 GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang, Xinkai Wei, Min Chen, Zhiqiang Wang, Jiye Liang

AAAI 2025 Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks Zhiqiang Wang, Jiayu Guo, Jianqing Liang, Jiye Liang, Shiying Cheng, Jiarong Zhang

ICML 2025 Human Cognition-Inspired Hierarchical Fuzzy Learning Machine Junbiao Cui, Qin Yue, Jianqing Liang, Jiye Liang

NeurIPS 2025 HyperMixup: Hypergraph-Augmented with Higher-Order Information Mixup Kaixuan Yao, Zhuo Li, Jianqing Liang, Jiye Liang, Ming Li, Feilong Cao

AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

AAAI 2025 Label Noise Correction via Fuzzy Learning Machine Jiye Liang, Yixiao Li, Junbiao Cui

CVPR 2025 Learning Textual Prompts for Open-World Semi-Supervised Learning Yuxin Fan, Junbiao Cui, Jiye Liang

IJCAI 2025 MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang

IJCAI 2025 Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer Chenghao Fang, Jianqing Liang, Jiye Liang, Hangkun Wang, Kaixuan Yao, Feilong Cao

IJCAI 2025 Open-World Semi-Supervised Learning with Class Semantic Correlations Yuxin Fan, Junbiao Cui, Jiye Liang, Jianqing Liang

IJCAI 2025 Uncertainty-Guided Graph Contrastive Learning from a Unified Perspective Zhiqiang Li, Jie Wang, Jianqing Liang, Junbiao Cui, Xingwang Zhao, Jiye Liang

ICML 2024 Graph External Attention Enhanced Transformer Jianqing Liang, Min Chen, Jiye Liang

ICML 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

MLJ 2024 Re-Attentive Experience Replay in Off-Policy Reinforcement Learning Wei Wei, Da Wang, Lin Li, Jiye Liang

NeurIPS 2024 Scalable Constrained Policy Optimization for Safe Multi-Agent Reinforcement Learning Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang

NeurIPS 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification Ting Guo, Da Wang, Jiye Liang, Kaihan Zhang, Jianchao Zeng

ICML 2023 A General Representation Learning Framework with Generalization Performance Guarantees Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang

ICML 2023 How Powerful Are Shallow Neural Networks with Bandlimited Random Weights? Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang

ICML 2023 Set-Membership Belief State-Based Reinforcement Learning for POMDPs Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang

AAAI 2022 Controlling Underestimation Bias in Reinforcement Learning via Quasi-Median Operation Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li

AAAI 2022 Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets Yunxia Wang, Fuyuan Cao, Kui Yu, Jiye Liang

NeurIPS 2022 Fuzzy Learning Machine Junbiao Cui, Jiye Liang

AAAI 2022 Instance Selection: A Bayesian Decision Theory Perspective Qingqiang Chen, Fuyuan Cao, Ying Xing, Jiye Liang

JMLR 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective Gaoxia Jiang, Wenjian Wang, Yuhua Qian, Jiye Liang

MLJ 2021 Graph-Based Semi-Supervised Learning via Improving the Quality of the Graph Dynamically Jiye Liang, Junbiao Cui, Jie Wang, Wei Wei

AAAI 2020 A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering Jing Liu, Fuyuan Cao, Xiao-Zhi Gao, Liqin Yu, Jiye Liang

AAAI 2020 A Three-Level Optimization Model for Nonlinearly Separable Clustering Liang Bai, Jiye Liang

ICML 2020 Sparse Subspace Clustering with Entropy-Norm Liang Bai, Jiye Liang