Jiye Liang

36 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

+10 more ↓

🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🏃 Academic Marathon (5)

🏃 Academic Marathon (5) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (9) 🤝 Dynamic Duo (10) 🚀 Conference Pioneer ❓ The Questioner ⚡ Prolific Year (9) 🗃️ Keyword Collector (159) 💎 Century Club (34) 🔥 Unstoppable (6)

Conferences

AAAI (11) ICML (10) ACL (5) IJCAI (4) NIPS (3) CVPR (1) JMLR (1) MICCAI (1)

Top co-authors

Jianqing Liang (10) Junbiao Cui (7) Lin Li (5) Ru Li (5) Feilong Cao (5) Fuyuan Cao (5) Wei Wei (5) Yujie Wang (3) Ming Li (3) Chenghao Fang (3)

Keywords

graph neural network (5) kernel methods (3) representation learning (3) point cloud completion (2) open-world learning (2) fuzzy learning machine (2) graph contrastive learning (2) generalization error (2) feature extraction (2) noise filtering (2) graph representation learning (2) node classification (2) semi-supervised learning (2) fuzzy learning (2) contrastive learning (2) prototype learning (2) spectral clustering (2) label noise (2) offline reinforcement learning (1) 3d reconstruction (1)

Papers

Point Cloud Semantic Scene Completion with Prototype-Guided Transformer AAAI 2026 Semantic Guided Part Relation-aware Network for Point Cloud Completion AAAI 2026 Uncertainty-guided Graph Contrastive Learning from a Unified Perspective IJCAI 2025 MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition IJCAI 2025 Multi-Modal Point Cloud Completion with Interleaved Attention Enhanced Transformer IJCAI 2025 Open-World Semi-Supervised Learning with Class Semantic Correlations IJCAI 2025 GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning AAAI 2025 Label Noise Correction via Fuzzy Learning Machine AAAI 2025 Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning AAAI 2025 Graph Segmentation and Contrastive Enhanced Explainer for Graph Neural Networks AAAI 2025 Learning Textual Prompts for Open-World Semi-Supervised Learning CVPR 2025 Human Cognition-Inspired Hierarchical Fuzzy Learning Machine ICML 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction ICML 2025 Federated Causal Structure Learning with Non-identical Variable Sets ICML 2025 Counterfactual Contrastive Learning with Normalizing Flows for Robust Treatment Effect Estimation ICML 2025 FRVA: Fact-Retrieval and Verification Augmented Entailment Tree Generation for Explainable Question Answering ACL 2024 InstructEd: Soft-Instruction Tuning for Model Editing with Hops ACL 2024 Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting ICML 2024 Uncertainty-Aware Multi-View Learning for Prostate Cancer Grading with DWI MICCAI 2024 Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning NIPS 2024 SpeAr: A Spectral Approach for Zero-Shot Node Classification NIPS 2024 Graph External Attention Enhanced Transformer ICML 2024 Hyperspherical Multi-Prototype with Optimal Transport for Event Argument Extraction ACL 2024 AGR: Reinforced Causal Agent-Guided Self-explaining Rationalization ACL 2024 Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering ACL 2023 A General Representation Learning Framework with Generalization Performance Guarantees ICML 2023 How Powerful are Shallow Neural Networks with Bandlimited Random Weights? ICML 2023 Set-membership Belief State-based Reinforcement Learning for POMDPs ICML 2023 Fuzzy Learning Machine NIPS 2022 Instance Selection: A Bayesian Decision Theory Perspective AAAI 2022 Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022 Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation AAAI 2022 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021 Sparse Subspace Clustering with Entropy-Norm ICML 2020 A Cluster-Weighted Kernel K-Means Method for Multi-View Clustering AAAI 2020 A Three-Level Optimization Model for Nonlinearly Separable Clustering AAAI 2020