← Authors

Chen Gong

69 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (10) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (12) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (19) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (33) πŸ”¬ Deep Specialist (12) πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (297) πŸ’Ž Century Club (67) πŸ”₯ Unstoppable (11) ❓ The Questioner

Conferences

AAAI (13) IJCAI (11) NIPS (8) ACL (7) CVPR (6) COLING (5) ICML (5) ICLR (4) ECCV (2) EMNLP (2) ICCV (2) IJCNLP (1) JMLR (1) MICCAI (1) NAACL (1)

Top co-authors

Jian Yang (19) Bo Han (13) Tongliang Liu (12) Shuo Chen (11) Zhenghua Li (10) Gang Niu (8) Masashi Sugiyama (7) Jun Li (7) Min Zhang (7) Shirui Pan (5)

Keywords

contrastive learning (7) large language model (6) knowledge distillation (5) metric learning (5) label noise (5) semi-supervised learning (5) multi-grained word segmentation (3) graph neural network (3) weakly supervised learning (3) noisy label (3) representation learning (3) feature space (3) image classification (3) syntactic parsing (3) chinese language (3) human pose estimation (3) federated learning (3) binary classification (3) data augmentation (2) model compression (2)

Papers

Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction AAAI 2026
Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning AAAI 2026
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
Text-driven Multiplanar Visual Interaction for Semi-supervised Medical Image Segmentation MICCAI 2025
Mining Word Boundaries from Speech-Text Parallel Data for Cross-domain Chinese Word Segmentation COLING 2025
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models ICML 2025
Data Augmentation for Cross-domain Parsing via Lightweight LLM Generation and Tree Hybridization COLING 2025
Volume-Aware Distance for Robust Similarity Learning ICML 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
BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions ICLR 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
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch CVPR 2025
Self-Correction Makes LLMs Better Parsers EMNLP 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025
Multimodal Coreference Resolution for Chinese Social Media Dialogues: Dataset and Benchmark Approach ACL 2025
Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling COLING 2024
Robust Similarity Learning with Difference Alignment Regularization ICLR 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
Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches ACL 2024
MODDP: A Multi-modal Open-domain Chinese Dataset for Dialogue Discourse Parsing ACL 2024
Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples ICCV 2023
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
Harnessing Out-Of-Distribution Examples via Augmenting Content and Style ICLR 2023
Learning Contrastive Embedding in Low-Dimensional Space NIPS 2022
Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022
Watermarking for Out-of-distribution Detection NIPS 2022
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset NAACL 2022
An In-depth Study on Internal Structure of Chinese Words IJCNLP 2021
Universal Semi-Supervised Learning NIPS 2021
Robust early-learning: Hindering the memorization of noisy labels ICLR 2021
Large-Margin Contrastive Learning with Distance Polarization Regularizer ICML 2021
Contrastive Graph Poisson Networks: Semi-Supervised Learning with Extremely Limited Labels NIPS 2021
Probabilistic Margins for Instance Reweighting in Adversarial Training NIPS 2021
An In-depth Study on Internal Structure of Chinese Words ACL 2021
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning IJCAI 2021
Learning with Group Noise AAAI 2021
Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model AAAI 2021
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning AAAI 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
Multi-grained Chinese Word Segmentation with Weakly Labeled Data COLING 2020
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation CVPR 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
Learning Data-adaptive Non-parametric Kernels JMLR 2020
Are Anchor Points Really Indispensable in Label-Noise Learning? NIPS 2019
Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019
Data-Adaptive Metric Learning with Scale Alignment AAAI 2019
Curvilinear Distance Metric Learning NIPS 2019
Positive and Unlabeled Learning with Label Disambiguation IJCAI 2019
Positive and Unlabeled Learning via Loss Decomposition and Centroid Estimation IJCAI 2018
Adversarial Metric Learning 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