Chen Gong

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