Song, Mingli

126 publications

ICLR 2026 Incentivizing LLM Reasoning via Reinforcement Learning with Functional Monte Carlo Tree Search Kongcheng Zhang, Qi Yao, Baisheng Lai, Jiaxing Huang, Wenkai Fang, Dacheng Tao, Mingli Song, Shunyu Liu

AAAI 2025 Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning Yaoquan Wei, Shunyu Liu, Jie Song, Tongya Zheng, Kaixuan Chen, Mingli Song

ICML 2025 Assessing Safety Risks and Quantization-Aware Safety Patching for Quantized Large Language Models Kejia Chen, Jiawen Zhang, Jiacong Hu, Yu Wang, Jian Lou, Zunlei Feng, Mingli Song

AAAI 2025 Association Pattern-Enhanced Molecular Representation Learning Lingxiang Jia, Yuchen Ying, Tian Qiu, Shaolun Yao, Liang Xue, Jie Lei, Jie Song, Mingli Song, Zunlei Feng

NeurIPS 2025 Association-Focused Path Aggregation for Graph Fraud Detection Tian Qiu, Wenda Li, Zunlei Feng, Jie Lei, Tao Wang, Yi Gao, Mingli Song, Yang Gao

ICCV 2025 Boosting MLLM Reasoning with Text-Debiased Hint-GRPO Qihan Huang, Weilong Dai, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jingyuan Chen, Chang Yao, Jie Song

IJCAI 2025 CADP: Towards Better Centralized Learning for Decentralized Execution in MARL Yihe Zhou, Shunyu Liu, Yunpeng Qing, Tongya Zheng, Kaixuan Chen, Jie Song, Mingli Song

NeurIPS 2025 Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning Kongcheng Zhang, Qi Yao, Shunyu Liu, Yingjie Wang, Baisheng Lai, Jieping Ye, Mingli Song, Dacheng Tao

AAAI 2025 Cooperative Policy Agreement: Learning Diverse Policy for Offline MARL Yihe Zhou, Yuxuan Zheng, Yue Hu, Kaixuan Chen, Tongya Zheng, Jie Song, Mingli Song, Shunyu Liu

AAAI 2025 D2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models Qian Zeng, Jie Song, Han Zheng, Hao Jiang, Mingli Song

ICCV 2025 Dataset Ownership Verification for Pre-Trained Masked Models Yuechen Xie, Jie Song, Yicheng Shan, Xiaoyan Zhang, Yuanyu Wan, Shengxuming Zhang, Jiarui Duan, Mingli Song

ICLR 2025 Dataset Ownership Verification in Contrastive Pre-Trained Models Yuechen Xie, Jie Song, Mengqi Xue, Haofei Zhang, Xingen Wang, Bingde Hu, Genlang Chen, Mingli Song

IJCAI 2025 DenseSAM: Semantic Enhance SAM for Efficient Dense Object Segmentation Linyun Zhou, Jiacong Hu, Shengxuming Zhang, Xiangtong Du, Mingli Song, Xiuming Zhang, Zunlei Feng

AAAI 2025 Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location Na Yu, Yutong Deng, Shunyu Liu, Kaixuan Chen, Tongya Zheng, Mingli Song

IJCAI 2025 Efficient Dynamic Graphs Learning with Refined Batch Parallel Training ZhengZhao Feng, Rui Wang, Longjiao Zhang, Tongya Zheng, Ziqi Huang, Mingli Song

ICLR 2025 From GNNs to Trees: Multi-Granular Interpretability for Graph Neural Networks Jie Yang, Yuwen Wang, Kaixuan Chen, Tongya Zheng, Yihe Zhou, Zhenbang Xiao, Ji Cao, Mingli Song, Shunyu Liu

AAAI 2025 Global Attribute-Association Pattern Aggregation for Graph Fraud Detection Mingjiang Duan, Da He, Tongya Zheng, Lingxiang Jia, Mingli Song, Xinyu Wang, Zunlei Feng

AAAI 2025 Holistic Semantic Representation for Navigational Trajectory Generation Ji Cao, Tongya Zheng, Qinghong Guo, Yu Wang, Junshu Dai, Shunyu Liu, Jie Yang, Jie Song, Mingli Song

ICML 2025 L-Diffusion: Laplace Diffusion for Efficient Pathology Image Segmentation Weihan Li, Linyun Zhou, Jian Yang, Shengxuming Zhang, Xiangtong Du, Xiuming Zhang, Jing Zhang, Chaoqing Xu, Mingli Song, Zunlei Feng

IJCAI 2025 Odyssey : Empowering Minecraft Agents with Open-World Skills Shunyu Liu, Yaoru Li, Kongcheng Zhang, Zhenyu Cui, Wenkai Fang, Yuxuan Zheng, Tongya Zheng, Mingli Song

JMLR 2025 Optimal and Efficient Algorithms for Decentralized Online Convex Optimization Yuanyu Wan, Tong Wei, Bo Xue, Mingli Song, Lijun Zhang

CVPR 2025 PatchDPO: Patch-Level DPO for Finetuning-Free Personalized Image Generation Qihan Huang, Long Chan, Jinlong Liu, Wanggui He, Hao Jiang, Mingli Song, Jie Song

ICML 2025 Revisiting Differentially Private Algorithms for Decentralized Online Learning Xiaoyu Wang, Wenhao Yang, Chang Yao, Mingli Song, Yuanyu Wan

NeurIPS 2025 SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater Hanwen Liu, Longjiao Zhang, Rui Wang, Tongya Zheng, Sai Wu, Chang Yao, Mingli Song

ICML 2025 STD-FD: Spatio-Temporal Distribution Fitting Deviation for AIGC Forgery Identification Hengrui Lou, Zunlei Feng, Jinsong Geng, Erteng Liu, Jie Lei, Lechao Cheng, Jie Song, Mingli Song, Yijun Bei

NeurIPS 2025 SeRL: Self-Play Reinforcement Learning for Large Language Models with Limited Data Wenkai Fang, Shunyu Liu, Yang Zhou, Kongcheng Zhang, Tongya Zheng, Kaixuan Chen, Mingli Song, Dacheng Tao

ICCV 2025 Spatial-Temporal Forgery Trace Based Forgery Image Identification Yilin Wang, Zunlei Feng, Jiachi Wang, Hengrui Lou, Binjia Zhou, Jie Lei, Mingli Song, Yijun Bei

CVPR 2025 Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training? Yuechen Xie, Jie Song, Huiqiong Wang, Mingli Song

NeurIPS 2025 Tree of Preferences for Diversified Recommendation Hanyang Yuan, Ning Tang, Tongya Zheng, Jiarong Xu, Xintong Hu, Renhong Huang, Shunyu Liu, Jiacong Hu, Jiawei Chen, Mingli Song

IJCAI 2025 VQCounter: Designing Visual Prompt Queue for Accurate Open-World Counting Fanfan Ye, Yiqi Fan, Qiaoyong Zhong, Shicai Yang, Di Xie, Jie Song, Mingli Song

NeurIPS 2024 A2PO: Towards Effective Offline Reinforcement Learning from an Advantage-Aware Perspective Yunpeng Qing, Shunyu Liu, Jingyuan Cong, Kaixuan Chen, Yihe Zhou, Mingli Song

AAAI 2024 Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song

NeurIPS 2024 Association Pattern-Aware Fusion for Biological Entity Relationship Prediction Lingxiang Jia, Yuchen Ying, Zunlei Feng, Zipeng Zhong, Shaolun Yao, Jiacong Hu, Mingjiang Duan, Xingen Wang, Jie Song, Mingli Song

NeurIPS 2024 Can Graph Neural Networks Expose Training Data Properties? an Efficient Risk Assessment Approach Hanyang Yuan, Jiarong Xu, Renhong Huang, Mingli Song, Chunping Wang, Yang Yang

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 Dual-Perspective Activation: Efficient Channel Denoising via Joint Forward-Backward Criterion for Artificial Neural Networks Tian Qiu, Chenchao Gao, Zunlei Feng, Jie Lei, Bingde Hu, Xingen Wang, Yi Gao, Mingli Song

ICLR 2024 Dynamic Neural Response Tuning Tian Qiu, Wenxiang Xu, Lin Chen, Linyun Zhou, Zunlei Feng, Mingli Song

ECCV 2024 E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation Shengxuming Zhang, Lei Jin, Yifan Wang, Xinyu Wang, Xu Wen, Zunlei Feng, Mingli Song

IJCAI 2024 Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis Through Self-Reform Critical Region Focusing Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang, Wenjie Liang, Yijun Bei, Mingli Song, Zunlei Feng

NeurIPS 2024 Improved Regret for Bandit Convex Optimization with Delayed Feedback Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang

IJCAI 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song

NeurIPS 2024 LG-CAV: Train Any Concept Activation Vector with Language Guidance Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu, Huiqiong Wang, Hao Jiang, Xingen Wang, Mingli Song

NeurIPS 2024 Model LEGO: Creating Models like Disassembling and Assembling Building Blocks Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song

COLT 2024 Nearly Optimal Regret for Decentralized Online Convex Optimization Yuanyu Wan, Tong Wei, Mingli Song, Lijun Zhang

ICML 2024 Non-Stationary Online Convex Optimization with Arbitrary Delays Yuanyu Wan, Chang Yao, Mingli Song, Lijun Zhang

AAAI 2024 On the Concept Trustworthiness in Concept Bottleneck Models Qihan Huang, Jie Song, Jingwen Hu, Haofei Zhang, Yong Wang, Mingli Song

ECCV 2024 On the Evaluation Consistency of Attribution-Based Explanations Jiarui Duan, Haoling Li, Haofei Zhang, Hao Jiang, Mengqi Xue, Li Sun, Mingli Song, Jie Song

AAAI 2024 Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation Jingxuan He, Lechao Cheng, Chaowei Fang, Zunlei Feng, Tingting Mu, Mingli Song

IJCAI 2024 ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song, Mingli Song, Canghong Jin

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

ECML-PKDD 2024 Simple Graph Condensation Zhenbang Xiao, Yu Wang, Shunyu Liu, Huiqiong Wang, Mingli Song, Tongya Zheng

CVPR 2024 Training-Free Pretrained Model Merging Zhengqi Xu, Ke Yuan, Huiqiong Wang, Yong Wang, Mingli Song, Jie Song

NeurIPS 2024 Transformer Doctor: Diagnosing and Treating Vision Transformers Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng

NeurIPS 2024 Vision Mamba Mender Jiacong Hu, Anda Cao, Zunlei Feng, Shengxuming Zhang, Yi Wang, Lingxiang Jia, Mingli Song

CVPR 2023 A Loopback Network for Explainable Microvascular Invasion Classification Shengxuming Zhang, Tianqi Shi, Yang Jiang, Xiuming Zhang, Jie Lei, Zunlei Feng, Mingli Song

AAAI 2023 Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition Shunyu Liu, Yihe Zhou, Jie Song, Tongya Zheng, Kaixuan Chen, Tongtian Zhu, Zunlei Feng, Mingli Song

ICML 2023 Decentralized SGD and Average-Direction SAM Are Asymptotically Equivalent Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao

CVPR 2023 DepGraph: Towards Any Structural Pruning Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang

ICCV 2023 Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song

CVPR 2023 Generalization Matters: Loss Minima Flattening via Parameter Hybridization for Efficient Online Knowledge Distillation Tianli Zhang, Mengqi Xue, Jiangtao Zhang, Haofei Zhang, Yu Wang, Lechao Cheng, Jie Song, Mingli Song

CVPR 2023 How to Prevent the Continuous Damage of Noises to Model Training? Xiaotian Yu, Yang Jiang, Tianqi Shi, Zunlei Feng, Yuexuan Wang, Mingli Song, Li Sun

COLT 2023 Improved Dynamic Regret for Online Frank-Wolfe Yuanyu Wan, Lijun Zhang, Mingli Song

NeurIPS 2023 Lookaround Optimizer: $k$ Steps Around, 1 Step Average Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song

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

ICLR 2023 Schema Inference for Interpretable Image Classification Haofei Zhang, Mengqi Xue, Xiaokang Liu, Kaixuan Chen, Jie Song, Mingli Song

IJCAI 2023 Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting Gaoang Wang, Mingli Song

ECCV 2022 Attention Diversification for Domain Generalization Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu

CVPR 2022 Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-Training Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song

IJCAI 2022 Comparison Knowledge Translation for Generalizable Image Classification Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang

ECCV 2022 Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt

CVPR 2022 Label Matching Semi-Supervised Object Detection Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang

ECCV 2022 Learning Graph Neural Networks for Image Style Transfer Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao

ECCV 2022 Learning with Recoverable Forgetting Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang

CVPR 2022 Meta-Attention for ViT-Backed Continual Learning Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song

AAAI 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song

AAAI 2022 Safe Distillation Box Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song

CVPR 2022 Slimmable Domain Adaptation Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang

ICML 2022 Topology-Aware Generalization of Decentralized SGD Tongtian Zhu, Fengxiang He, Lan Zhang, Zhengyang Niu, Mingli Song, Dacheng Tao

AAAI 2022 Up to 100x Faster Data-Free Knowledge Distillation Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song

CVPR 2021 Amalgamating Knowledge from Heterogeneous Graph Neural Networks Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

IJCAI 2021 Boundary Knowledge Translation Based Reference Semantic Segmentation Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song

IJCAI 2021 Contrastive Model Invertion for Data-Free Knolwedge Distillation Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song

AAAI 2021 Edge-Competing Pathological Liver Vessel Segmentation with Limited Labels Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song

IJCAI 2021 KDExplainer: A Task-Oriented Attention Model for Explaining Knowledge Distillation Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song

ICCV 2021 Meta-Aggregator: Learning to Aggregate for 1-Bit Graph Neural Networks Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

NeurIPS 2021 Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song

ICCV 2021 Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song

ICCV 2021 Online Knowledge Distillation for Efficient Pose Estimation Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan

AAAI 2021 Progressive Network Grafting for Few-Shot Knowledge Distillation Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song

ICCV 2021 Self-Born Wiring for Neural Trees Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song

ICCV 2021 Track Without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang

CVPR 2021 Training Generative Adversarial Networks in One Stage Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song

CVPR 2021 Tree-like Decision Distillation Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song

CVPR 2021 Turning Frequency to Resolution: Video Super-Resolution via Event Cameras Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao

AAAI 2021 Visual Boundary Knowledge Translation for Foreground Segmentation Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song

ECCV 2020 Collaboration by Competition: Self-Coordinated Knowledge Amalgamation for Multi-Talent Student Learning Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang, Mingli Song

CVPR 2020 DEPARA: Deep Attribution Graph for Deep Knowledge Transferability Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song

CVPR 2020 Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song

CVPR 2020 Distilling Knowledge from Graph Convolutional Networks Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang

AAAI 2020 Dynamic Instance Normalization for Arbitrary Style Transfer Yongcheng Jing, Xiao Liu, Yukang Ding, Xinchao Wang, Errui Ding, Mingli Song, Shilei Wen

NeurIPS 2020 Factorizable Graph Convolutional Networks Yiding Yang, Zunlei Feng, Mingli Song, Xinchao Wang

AAAI 2020 Hearing Lips: Improving Lip Reading by Distilling Speech Recognizers Ya Zhao, Rui Xu, Xinchao Wang, Peng Hou, Haihong Tang, Mingli Song

ECCV 2020 Learning Propagation Rules for Attribution mAP Generation Yiding Yang, Jiayan Qiu, Mingli Song, Dacheng Tao, Xinchao Wang

NeurIPS 2020 One-Sample Guided Object Representation Disassembling Zunlei Feng, Yongming He, Xinchao Wang, Xin Gao, Jie Lei, Cheng Jin, Mingli Song

IJCAI 2019 Amalgamating Filtered Knowledge: Learning Task-Customized Student from Multi-Task Teachers Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song

AAAI 2019 Amalgamating Knowledge Towards Comprehensive Classification Chengchao Shen, Xinchao Wang, Jie Song, Li Sun, Mingli Song

IJCAI 2019 An Online Intelligent Visual Interaction System Anxiang Zeng, Han Yu, Xin Gao, Kairi Ou, Zhenchuan Huang, Peng Hou, Mingli Song, Jingshu Zhang, Chunyan Miao

ICCV 2019 Customizing Student Networks from Heterogeneous Teachers via Adaptive Knowledge Amalgamation Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun, Mingli Song

NeurIPS 2019 Deep Model Transferability from Attribution Maps Jie Song, Yixin Chen, Xinchao Wang, Chengchao Shen, Mingli Song

IJCAI 2019 Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning Sihui Luo, Xinchao Wang, Gongfan Fang, Yao Hu, Dapeng Tao, Mingli Song

CVPRW 2019 NTIRE 2019 Challenge on Real Image Super-Resolution: Methods and Results Jianrui Cai, Shuhang Gu, Radu Timofte, Lei Zhang, Xiao Liu, Yukang Ding, Dongliang He, Chao Li, Yi Fu, Shilei Wen, Ruicheng Feng, Jinjin Gu, Yu Qiao, Chao Dong, Dongwon Park, Se Young Chun, Sanghoon Yoon, Junhyung Kwak, Donghee Son, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Zhengping Wei, Lei Liu, Hong Cai, Darui Li, Fujie Gao, Zheng Hui, Xiumei Wang, Xinbo Gao, Guoan Cheng, Ai Matsune, Qiuyu Li, Leilei Zhu, Huaijuan Zang, Shu Zhan, Yajun Qiu, Ruxin Wang, Jiawei Li, Yongcheng Jing, Mingli Song, Pengju Liu, Kai Zhang, Jingdong Liu, Jiye Liu, Hongzhi Zhang, Wangmeng Zuo, Wenyi Tang, Jing Liu, Youngjung Kim, Changyeop Shin, Minbeom Kim, Sungho Kim, Pablo Navarrete Michelini, Hanwen Liu, Dan Zhu, Xuan Xu, Xin Li, Furui Bai, Xiaopeng Sun, Lin Zha, Yuanfei Huang, Wen Lu, Yanpeng Cao, Du Chen, Zewei He, Anshun Sun, Siliang Tang, Hongfei Fan, Xiang Li, Guo Li, Wenjie Zhang, Yumei Zhang, Qingwen He, Jinghui Qin, Lishan Huang, Yukai Shi, Pengxu Wei, Wushao Wen, Liang Lin, Jun Yu, Guochen Xie, Mengyan Li, Rong Chen, Xiaotong Luo, Chen Hong, Yanyun Qu, Cuihua Li, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Can Zhao, Bowen Li, Chung-Chi Tsai, Shang-Chih Chuang, Joonhee Choi, Joonsoo Kim, Xiaoyun Jiang, Ze Pan, Qunbo Lv, Zheng Tan, Peidong He

IJCAI 2019 SPAGAN: Shortest Path Graph Attention Network Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao

ICCVW 2019 Semi-Supervised Eye Makeup Transfer by Swapping Learned Representation Feida Zhu, Hongji Cao, Zunlei Feng, Yongqiang Zhang, Wenbin Luo, Hucheng Zhou, Mingli Song, Kai-Kuang Ma

CVPR 2019 Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song

NeurIPS 2018 Dual Swap Disentangling Zunlei Feng, Xinchao Wang, Chenglong Ke, An-Xiang Zeng, Dacheng Tao, Mingli Song

ECCV 2018 Selective Zero-Shot Classification with Augmented Attributes Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song

ECCV 2018 Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song

CVPR 2018 Transductive Unbiased Embedding for Zero-Shot Learning Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song

CVPR 2014 Semi-Supervised Coupled Dictionary Learning for Person Re-Identification Xiao Liu, Mingli Song, Dacheng Tao, Xingchen Zhou, Chun Chen, Jiajun Bu

CVPR 2014 Weakly Supervised Multiclass Video Segmentation Xiao Liu, Dacheng Tao, Mingli Song, Ying Ruan, Chun Chen, Jiajun Bu

CVPR 2013 Probabilistic Graphlet Cut: Exploiting Spatial Structure Cue for Weakly Supervised Image Segmentation Luming Zhang, Mingli Song, Zicheng Liu, Xiao Liu, Jiajun Bu, Chun Chen

CVPR 2013 Semi-Supervised Node Splitting for Random Forest Construction Xiao Liu, Mingli Song, Dacheng Tao, Zicheng Liu, Luming Zhang, Chun Chen, Jiajun Bu

ECCV 2010 What Is the Chance of Happening: A New Way to Predict Where People Look Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen

ECCV 2006 EigenExpress Approach in Recognition of Facial Expression Using GPU Qi Wu, Mingli Song, Jiajun Bu, Chun Chen

CVPR 2004 Audio-Visual Based Emotion Recognition - A New Approach Mingli Song, Jiajun Bu, Chun Chen, Nan Li