Chen Gong

Bezier Degradation Modeling for LiDAR-based Human Motion Capture CVPR 2026 Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction AAAI 2026 Locate and Explain: Joint Multimodal Emotion Cause Extraction and Summarization in Conversation ACL 2026 SCAN: Structured Capability Assessment and Navigation for LLMs ACL 2026 Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning AAAI 2026 Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025 BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions ICLR 2025 CortexDebate: Debating Sparsely and Equally for Multi-Agent Debate ACL 2025 Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization COLING 2025 DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework CVPR 2025 DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution CVPR 2025 Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models ICML 2025 Hybrid Data-Free Knowledge Distillation AAAI 2025 Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025 Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch CVPR 2025 Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation COLING 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach ACL 2025 Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation AAAI 2025 Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025 R.R.: Unveiling LLM Training Privacy through Recollection and Ranking ACL 2025 Self-Correction Makes LLMs Better Parsers EMNLP 2025 Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation MICCAI 2025 Volume-Aware Distance for Robust Similarity Learning ICML 2025 Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches ACL 2024 ControlCap: Controllable Region-level Captioning ECCV 2024 Direct Distillation between Different Domains ECCV 2024 Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling COLING 2024 MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing ACL 2024 Robust Similarity Learning with Difference Alignment Regularization ICLR 2024 SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation AAAI 2024 A Hierarchical Approach to Population Training for Human-AI Collaboration IJCAI 2023 Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023 Distribution Shift Matters for Knowledge Distillation with Webly Collected Images ICCV 2023 Harnessing Out-Of-Distribution Examples via Augmenting Content and Style ICLR 2023 Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NeurIPS 2023 Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization CVPR 2023 Learning Contrastive Embedding in Low-Dimensional Space NeurIPS 2022 MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset NAACL 2022 Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022 Watermarking for Out-of-distribution Detection NeurIPS 2022 An In-depth Study on Internal Structure of Chinese Words ACL 2021 Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 2021 Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NeurIPS 2021 Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021 Learning with Group Noise AAAI 2021 Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Robust early-learning: Hindering the memorization of noisy labels ICLR 2021 Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021 Universal Semi-Supervised Learning NeurIPS 2021 A Bi-level Formulation for Label Noise Learning with Spectral Cluster Discovery IJCAI 2020 Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification AAAI 2020 Learning Data-adaptive Non-parametric Kernels JMLR 2020 Multi-grained Chinese Word Segmentation with Weakly Labeled Data COLING 2020 Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation CVPR 2020 Online Positive and Unlabeled Learning IJCAI 2020 Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning IJCAI 2020 Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training ICML 2020 Are Anchor Points Really Indispensable in Label-Noise Learning? NeurIPS 2019 Curvilinear Distance Metric Learning NeurIPS 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 Positive and Unlabeled Learning with Label Disambiguation IJCAI 2019 Adversarial Metric Learning IJCAI 2018 Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation IJCAI 2018 Teaching Semi-Supervised Classifier via Generalized Distillation IJCAI 2018 Importance-Aware Semantic Segmentation for Autonomous Driving System IJCAI 2017 Multi-Grained Chinese Word Segmentation EMNLP 2017 Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization IJCAI 2016 Saliency Propagation From Simple to Difficult CVPR 2015