Chen, Gang

66 publications

IJCAI 2025 A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions Ziyang Xiao, Jingrong Xie, Lilin Xu, Shisi Guan, Jingyan Zhu, Xiongwei Han, Xiaojin Fu, WingYin Yu, Han Wu, Wei Shi, Qingcan Kang, Jiahui Duan, Tao Zhong, Mingxuan Yuan, Jia Zeng, Yuan Wang, Gang Chen, Dongxiang Zhang

IJCAI 2025 A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-Based Image Super-Resolution Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang

AAAI 2025 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen

IJCAI 2025 Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion Anjali de Silva, Gang Chen, Hui Ma, Seyed Mohammad Nekooei, Xingquan Zuo

ICLR 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

MLJ 2025 CaCOM: Customizing Text-to-Image Diffusion Models in the Wild via Continual Active Selection Jianan Yang, Yanming Zhang, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao

AAAI 2025 CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation Hongwei Yuan, Xiu Tang, Ke Chen, Lidan Shou, Gang Chen, Huan Li

AAAI 2025 Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning Yuchen Liu, Chen Chen, Lingjuan Lyu, Yaochu Jin, Gang Chen

IJCAI 2025 GATES: Cost-Aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy Ya Shen, Gang Chen, Hui Ma, Mengjie Zhang

ICLR 2025 Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling Yifan Yang, Gang Chen, Hui Ma, Cong Zhang, Zhiguang Cao, Mengjie Zhang

NeurIPS 2025 IMPACT: Irregular Multi-Patch Adversarial Composition Based on Two‑Phase Optimization Zenghui Yang, Xingquan Zuo, Hai Huang, Gang Chen, Xinchao Zhao, Tianle Zhang

ICML 2025 In-Context Adaptation to Concept Drift for Learned Database Operations Jiaqi Zhu, Shaofeng Cai, Yanyan Shen, Gang Chen, Fang Deng, Beng Chin Ooi

ICCV 2025 Knowledge Distillation for Learned Image Compression Yunuo Chen, Zezheng Lyu, Bing He, Ning Cao, Gang Chen, Guo Lu, Wenjun Zhang

AAAI 2025 M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving Xunpei Sun, Gang Chen, Zuoxun Hou

NeurIPS 2025 Not All Data Are Good Labels: On the Self-Supervised Labeling for Time Series Forecasting Yuxuan Yang, Dalin Zhang, Yuxuan Liang, Hua Lu, Gang Chen, Huan Li

CVPR 2025 OmniStereo: Real-Time Omnidireactional Depth Estimation with Multiview Fisheye Cameras Jiaxi Deng, Yushen Wang, Haitao Meng, Zuoxun Hou, Yi Chang, Gang Chen

IJCAI 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao, Gang Chen

MLJ 2025 Shift Guided Active Learning Jianan Yang, Jimin Tan, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao

NeurIPS 2025 Table as a Modality for Large Language Models Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao

IJCAI 2025 Towards Robust Incremental Learning Under Ambiguous Supervision Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao

ICML 2025 TtBA: Two-Third Bridge Approach for Decision-Based Adversarial Attack Feiyang Wang, Xingquan Zuo, Hai Huang, Gang Chen

AAAI 2024 A Separation and Alignment Framework for Black-Box Domain Adaptation Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang

AAAI 2024 CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition Cheng Peng, Ke Chen, Lidan Shou, Gang Chen

ICLR 2024 Chain-of-Experts: When LLMs Meet Complex Operations Research Problems Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Jessica Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen

NeurIPS 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen

NeurIPS 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang

CVPR 2024 Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao

NeurIPS 2024 Real-Time Stereo-Based 3D Object Detection for Streaming Perception Changcai Li, Zonghua Gu, Gang Chen, Libo Huang, Wei Zhang, Huihui Zhou

AAAI 2024 Sampling-Resilient Multi-Object Tracking Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen

CVPR 2024 Targeted Representation Alignment for Open-World Semi-Supervised Learning Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang

ICML 2024 Unbiased Multi-Label Learning from Crowdsourced Annotations Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang

AAAI 2024 Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification Yuxue Hu, Junsong Li, Mingmin Wu, Zhongqiang Huang, Gang Chen, Ying Sha

AAAI 2024 Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection Cheng Peng, Ke Chen, Lidan Shou, Gang Chen

ICML 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen

NeurIPS 2023 Debiased and Denoised Entity Recognition from Distant Supervision Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao

IJCAI 2023 Deep Partial Multi-Label Learning with Graph Disambiguation Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen

AAAI 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots Jue Wang, Dajie Dong, Lidan Shou, Ke Chen, Gang Chen

IJCAI 2023 Ensemble Reinforcement Learning in Continuous Spaces - A Hierarchical Multi-Step Approach for Policy Training Gang Chen, Victoria Huang

AAAI 2023 Human-in-the-Loop Vehicle ReID Zepeng Li, Dongxiang Zhang, Yanyan Shen, Gang Chen

ICLR 2023 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao

ICCV 2023 ModelGiF: Gradient Fields for Model Functional Distance Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song

AAAI 2023 Neural TSP Solver with Progressive Distillation Dongxiang Zhang, Ziyang Xiao, Yuan Wang, Mingli Song, Gang Chen

IJCAI 2023 ProMix: Combating Label Noise via Maximizing Clean Sample Utility Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao

NeurIPS 2023 SPA: A Graph Spectral Alignment Perspective for Domain Adaptation Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao

ICML 2023 Towards Controlled Data Augmentations for Active Learning Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

AAAI 2023 Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow Hanyu Zhou, Yi Chang, Gang Chen, Luxin Yan

ICLR 2022 PiCO: Contrastive Label Disambiguation for Partial Label Learning Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao

NeurIPS 2022 SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao

AAAI 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen

ICML 2021 Joining Datasets via Data Augmentation in the Label Space for Neural Networks Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen

IJCAI 2020 Collaboration Based Multi-Label Propagation for Fraud Detection Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen

ICLR 2020 ISBNet: Instance-Aware Selective Branching Networks Shaofeng Cai, Yao Shu, Wei Wang, Gang Chen, Beng Chin Ooi

AAAI 2020 Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen

IJCAI 2020 Learning from Multi-Dimensional Partial Labels Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen

ECML-PKDD 2020 Online Partial Label Learning Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen

AAAI 2019 CAMO: A Collaborative Ranking Method for Content Based Recommendation Chengwei Wang, Tengfei Zhou, Chen Chen, Tianlei Hu, Gang Chen

IJCAI 2019 Discriminative and Correlative Partial Multi-Label Learning Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen

AAAI 2019 Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen

IJCAI 2017 Deep Supervised Hashing with Nonlinear Projections Sen Su, Gang Chen, Xiang Cheng, Rong Bi

AAAI 2017 Latent Discriminant Analysis with Representative Feature Discovery Gang Chen

AAAI 2016 Maximum Margin Dirichlet Process Mixtures for Clustering Gang Chen, Haiying Zhang, Caiming Xiong

ECML-PKDD 2016 Sequential Labeling with Online Deep Learning: Exploring Model Initialization Gang Chen, Ran Xu, Sargur N. Srihari

ICLR 2015 Restricted Boltzmann Machine for Classification with Hierarchical Correlated Prior Gang Chen, Sargur N. Srihari

CVPR 2009 Efficient Multi-Label Classification with Hypergraph Regularization Gang Chen, Jianwen Zhang, Fei Wang, Changshui Zhang, Yuli Gao

IJCAI 2009 On-Line Evolutionary Exponential Family Mixture Jianwen Zhang, Yangqiu Song, Gang Chen, Changshui Zhang

IJCAI 2009 Semi-Supervised Regression for Evaluating Convenience Store Location Xinxin Bai, Gang Chen, Qiming Tian, Wen Jun Yin, Jin Dong