Li, Ming

126 publications

MLJ 2026 Weakly Supervised Classification with Pre-Trained Models: A Robust Fine-Tuning Approach Ming Li, Wei Wang, Masashi Sugiyama

NeurIPS 2025 A Learnability Analysis on Neuro-Symbolic Learning Hao-Yuan He, Ming Li

IJCAI 2025 ADFormer: Aggregation Differential Transformer for Passenger Demand Forecasting Haichen Wang, Liu Yang, Xinyuan Zhang, Haomin Yu, Ming Li, Jilin Hu

IJCAI 2025 AKBR: Learning Adaptive Kernel-Based Representations for Graph Classification Lu Bai, Feifei Qian, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

IJCAI 2025 All Roads Lead to Rome: Exploring Edge Distribution Shifts for Heterophilic Graph Learning Yi Wang, Changqin Huang, Ming Li, Tingyi Cai, Zhonglong Zheng, Xiaodi Huang

IJCAI 2025 An End-to-End Simple Clustering Hierarchical Pooling Operation for Graph Learning Based on Top-K Node Selection Zhehan Zhao, Lu Bai, Ming Li, Lixin Cui, Hangyuan Du, Yue Wang, Edwin R. Hancock

ICLR 2025 BenTo: Benchmark Reduction with In-Context Transferability Hongyu Zhao, Ming Li, Lichao Sun, Tianyi Zhou

NeurIPS 2025 CPO: Condition Preference Optimization for Controllable Image Generation Zonglin Lyu, Ming Li, Xinxin Liu, Chen Chen

MLJ 2025 Capturing the Context-Aware Code Change via Dynamic Control Flow Graph for Commit Message Generation Yali Du, Ying Li, Yi-Fan Ma, Ming Li

NeurIPS 2025 ColorBench: Can VLMs See and Understand the Colorful World? a Comprehensive Benchmark for Color Perception, Reasoning, and Robustness Yijun Liang, Ming Li, Chenrui Fan, Ziyue Li, Dang Nguyen, Kwesi Adu Cobbina, Shweta Bhardwaj, Jiuhai Chen, Fuxiao Liu, Tianyi Zhou

NeurIPS 2025 CrossAD: Time Series Anomaly Detection with Cross-Scale Associations and Cross-Window Modeling Beibu Li, Qichao Shentu, Yang Shu, Hui Zhang, Ming Li, Ning Jin, Bin Yang, Chenjuan Guo

AAAI 2025 DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

IJCAI 2025 DHTAGK: Deep Hierarchical Transitive-Aligned Graph Kernels for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Hangyuan Du, Edwin R. Hancock

AAAI 2025 Deep Hypergraph Neural Networks with Tight Framelets Ming Li, Yujie Fang, Yi Wang, Han Feng, Yongchun Gu, Lu Bai, Pietro Liò

CVPR 2025 EEE-Bench: A Comprehensive Multimodal Electrical and Electronics Engineering Benchmark Ming Li, Jike Zhong, Tianle Chen, Yuxiang Lai, Konstantinos Psounis

ICCV 2025 EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients Meihan Wu, Tao Chang, Cui Miao, Jie Zhou, Chun Li, Xiangyu Xu, Ming Li, Xiaodong Wang

ICML 2025 ENAHPool: The Edge-Node Attention-Based Hierarchical Pooling for Graph Neural Networks Zhehan Zhao, Lu Bai, Lixin Cui, Ming Li, Ziyu Lyu, Lixiang Xu, Yue Wang, Edwin Hancock

ICML 2025 EduLLM: Leveraging Large Language Models and Framelet-Based Signed Hypergraph Neural Networks for Student Performance Prediction Ming Li, Yukang Cheng, Lu Bai, Feilong Cao, Ke Lv, Jiye Liang, Pietro Lio

CVPR 2025 EventGPT: Event Stream Understanding with Multimodal Large Language Models Shaoyu Liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Xin Meng, Fei Richard Yu, Xiangyang Ji, Ming Li

TMLR 2025 Evolution of Discriminator and Generator Gradients in GAN Training: From Fitting to Collapse Weiguo Gao, Ming Li

IJCAI 2025 Exploring the Over-Smoothing Problem of Graph Neural Networks for Graph Classification: An Entropy-Based Viewpoint Feifei Qian, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

ICCV 2025 FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation Cui Miao, Tao Chang, Meihan Wu, Hongbin Xu, Chun Li, Ming Li, Xiaodong Wang

IJCAI 2025 HA-SCN: Learning Hierarchical Aligned Subtree Convolutional Networks for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Yue Wang, Edwin R. Hancock

CVPR 2025 HiFi-Portrait: Zero-Shot Identity-Preserved Portrait Generation with High-Fidelity Multi-Face Fusion Yifang Xu, Benxiang Zhai, Yunzhuo Sun, Ming Li, Yang Li, Sidan Du

NeurIPS 2025 HyperMixup: Hypergraph-Augmented with Higher-Order Information Mixup Kaixuan Yao, Zhuo Li, Jianqing Liang, Jiye Liang, Ming Li, Feilong Cao

ICML 2025 HyperNear: Unnoticeable Node Injection Attacks on Hypergraph Neural Networks Tingyi Cai, Yunliang Jiang, Ming Li, Lu Bai, Changqin Huang, Yi Wang

CVPRW 2025 IL-NeRF: Incremental Learning for Neural Radiance Fields with Camera Pose Alignment Letian Zhang, Ming Li, Chen Chen, Jie Xu

IJCAI 2025 Inter3D: A Benchmark and Strong Baseline for Human-Interactive 3D Object Reconstruction Gan Chen, Ying He, Mulin Yu, F. Richard Yu, Gang Xu, Fei Ma, Ming Li, Guang Zhou

ICML 2025 L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang

IJCAI 2025 MATCH: Modality-Calibrated Hypergraph Fusion Network for Conversational Emotion Recognition Jiandong Shi, Ming Li, Lu Bai, Feilong Cao, Ke Lu, Jiye Liang

ICCV 2025 MDP3: A Training-Free Approach for List-Wise Frame Selection in Video-LLMs Hui Sun, Shiyin Lu, Huanyu Wang, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Ming Li

AAAI 2025 ML-GOOD: Towards Multi-Label Graph Out-of-Distribution Detection Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao Huang

ICLR 2025 Multi-Reward as Condition for Instruction-Based Image Editing Xin Gu, Ming Li, Libo Zhang, Fan Chen, Longyin Wen, Tiejian Luo, Sijie Zhu

NeurIPS 2025 MultiNet: Adaptive Multi-Viewed Subgraph Convolutional Networks for Graph Classification Xinya Qin, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Edwin Hancock

ICCV 2025 PVChat: Personalized Video Chat with One-Shot Learning Yufei Shi, Weilong Yan, Gang Xu, Yumeng Li, Yucheng Chen, Zhenxi Li, Fei Yu, Ming Li, Si Yong Yeo

ICCV 2025 ProJudge: A Multi-Modal Multi-Discipline Benchmark and Instruction-Tuning Dataset for MLLM-Based Process Judges Jiaxin Ai, Pengfei Zhou, Zhaopan Xu, Ming Li, Fanrui Zhang, Zizhen Li, Jianwen Sun, Yukang Feng, Baojin Huang, Zhongyuan Wang, Kaipeng Zhang

MLJ 2025 Probabilistic Instance Dependent Label Refinement for Noisy Label Learning Hao-Yuan He, Yu Liu, Renbiao Liu, Zheng Xie, Ming Li

ICML 2025 Revisiting Chain-of-Thought in Code Generation: Do Language Models Need to Learn Reasoning Before Coding? Ren-Biao Liu, Anqi Li, Chaoding Yang, Hui Sun, Ming Li

ICCV 2025 SPADE: Spatial-Aware Denoising Network for Open-Vocabulary Panoptic Scene Graph Generation with Long- and Local-Range Context Reasoning Xin Hu, Ke Qin, Guiduo Duan, Ming Li, Yuan-Fang Li, Tao He

NeurIPS 2025 Safe-Sora: Safe Text-to-Video Generation via Graphical Watermarking Zihan Su, Xuerui Qiu, Hongbin Xu, Tangyu Jiang, Jun-hao Zhuang, Chun Yuan, Ming Li, Shengfeng He, Fei Yu

NeurIPS 2025 Sekai: A Video Dataset Towards World Exploration Zhen Li, Chuanhao Li, Xiaofeng Mao, Shaoheng Lin, Ming Li, Shitian Zhao, xu Zhao Pan, Xinyue Li, Yukang Feng, Jianwen Sun, Zizhen Li, Fanrui Zhang, Jiaxin Ai, Zhixiang Wang, Yuwei Wu, Tong He, Yunde Jia, Kaipeng Zhang

ICML 2025 Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang

ICLR 2025 SiMHand: Mining Similar Hands for Large-Scale 3D Hand Pose Pre-Training Nie Lin, Takehiko Ohkawa, Yifei Huang, Mingfang Zhang, Minjie Cai, Ming Li, Ryosuke Furuta, Yoichi Sato

AAAI 2025 Slice-and-Pack: Tailoring Deep Models for Customized Requirements Ruice Rao, Dingwei Li, Ming Li

ICCV 2025 SuperEdit: Rectifying and Facilitating Supervision for Instruction-Based Image Editing Ming Li, Xin Gu, Fan Chen, Xiaoying Xing, Longyin Wen, Chen Chen, Sijie Zhu

CVPR 2025 Synthetic-to-Real Self-Supervised Robust Depth Estimation via Learning with Motion and Structure Priors Weilong Yan, Ming Li, Haipeng Li, Shuwei Shao, Robby T. Tan

ICLRW 2025 TRIG-Bench: A Benchmark for Text-Rich Image Grounding Ming Li, Ruiyi Zhang, Jian Chen, Tianyi Zhou

ICML 2025 Test-Time Graph Neural Dataset Search with Generative Projection Xin Zheng, Wei Huang, Chuan Zhou, Ming Li, Shirui Pan

ICLRW 2025 Text2World: Benchmarking Large Language Models for Symbolic World Model Generation Mengkang Hu, Tianxing Chen, Yude Zou, Yuheng Lei, Qiguang Chen, Ming Li, Qiwei Liang, Yao Mu, Hongyuan Zhang, Wenqi Shao, Ping Luo

NeurIPS 2025 To Think or Not to Think: A Study of Thinking in Rule-Based Visual Reinforcement Fine-Tuning Ming Li, Jike Zhong, Shitian Zhao, Yuxiang Lai, Haoquan Zhang, Wang Bill Zhu, Kaipeng Zhang

NeurIPS 2025 ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Xiyao Wang, Zhengyuan Yang, Chao Feng, Yuhang Zhou, Xiaoyu Liu, Yongyuan Liang, Ming Li, Ziyi Zang, Linjie Li, Chung-Ching Lin, Kevin Lin, Furong Huang, Lijuan Wang

ICLRW 2025 VisR-Bench: A Visual Retrieval Benchmark for Visually-Rich Documents Jian Chen, Ruiyi Zhang, Ming Li, Shijie Zhou, Changyou Chen

ICML 2025 WMarkGPT: Watermarked Image Understanding via Multimodal Large Language Models Songbai Tan, Xuerui Qiu, Yao Shu, Gang Xu, Linrui Xu, Xiangyu Xu, Huiping Zhuang, Ming Li, Fei Yu

AAAI 2025 When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline Ming Li, Yongchun Gu, Yi Wang, Yujie Fang, Lu Bai, Xiaosheng Zhuang, Pietro Liò

AAAI 2025 Zero-Shot Video Moment Retrieval via Off-the-Shelf Multimodal Large Language Models Yifang Xu, Yunzhuo Sun, Benxiang Zhai, Ming Li, Wenxin Liang, Yang Li, Sidan Du

AAAI 2024 AUC Optimization from Multiple Unlabeled Datasets Zheng Xie, Yu Liu, Ming Li

ICML 2024 Ambiguity-Aware Abductive Learning Hao-Yuan He, Hui Sun, Zheng Xie, Ming Li

ECCV 2024 ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback Ming Li, Taojiannan Yang, Huafeng Kuang, Jie Wu, Zhaoning Wang, Xuefeng Xiao, Chen Chen

IJCAI 2024 Efficient and Stable Offline-to-Online Reinforcement Learning via Continual Policy Revitalization Rui Kong, Chenyang Wu, Chen-Xiao Gao, Zongzhang Zhang, Ming Li

NeurIPS 2024 HC-GAE: The Hierarchical Cluster-Based Graph Auto-Encoder for Graph Representation Learning Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang, Edwin R. Hancock

ICML 2024 How Universal Polynomial Bases Enhance Spectral Graph Neural Networks: Heterophily, Over-Smoothing, and Over-Squashing Keke Huang, Yu Guang Wang, Ming Li, Pietro Lio

NeurIPS 2024 Long-Range Brain Graph Transformer Shuo Yu, Shan Jin, Ming Li, Tabinda Sarwar, Feng Xia

ECCVW 2024 LucidDreaming: Controllable Object-Centric 3D Generation Zhaoning Wang, Ming Li, Chen Chen

ICML 2024 QBMK: Quantum-Based Matching Kernels for Un-Attributed Graphs Lu Bai, Lixin Cui, Ming Li, Yue Wang, Edwin Hancock

MLJ 2024 Reduced Implication-Bias Logic Loss for Neuro-Symbolic Learning Hao-Yuan He, Wang-Zhou Dai, Ming Li

WACV 2024 Revolutionize the Oceanic Drone RGB Imagery with Pioneering Sun Glint Detection and Removal Techniques Jiangying Qin, Ming Li, Jie Zhao, Jiageng Zhong, Hanqi Zhang

ICCV 2023 AlignDet: Aligning Pre-Training and Fine-Tuning in Object Detection Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan

IJCAI 2023 Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization Yi-Fan Ma, Yali Du, Ming Li

CVPR 2023 Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning Ming Li, Qingli Li, Yan Wang

AAAI 2023 Cooperative and Adversarial Learning: Co-Enhancing Discriminability and Transferability in Domain Adaptation Hui Sun, Zheng Xie, Xin-Ye Li, Ming Li

CVPR 2023 FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Jie Qin, Jie Wu, Pengxiang Yan, Ming Li, Ren Yuxi, Xuefeng Xiao, Yitong Wang, Rui Wang, Shilei Wen, Xin Pan, Xingang Wang

ICML 2023 How Powerful Are Shallow Neural Networks with Bandlimited Random Weights? Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang

NeurIPSW 2023 Reflection-Tuning: Recycling Data for Better Instruction-Tuning Ming Li, Lichang Chen, Jiuhai Chen, Shwai He, Tianyi Zhou

ICCV 2023 STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan

AAAI 2023 Semi-Supervised Learning with Support Isolation by Small-Paced Self-Training Zheng Xie, Hui Sun, Ming Li

IJCAI 2023 Stability and Generalization of Lp-Regularized Stochastic Learning for GCN Shiyu Liu, Linsen Wei, Shaogao Lv, Ming Li

CoRL 2022 Discriminator-Guided Model-Based Offline Imitation Learning Wenjia Zhang, Haoran Xu, Haoyi Niu, Peng Cheng, Ming Li, Heming Zhang, Guyue Zhou, Xianyuan Zhan

NeurIPS 2022 Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang, Yiqin Dai, Ji Xin, Ming Li, Jimmy Lin

ECML-PKDD 2022 Hierarchical Unimodal Bandits Tianchi Zhao, Chicheng Zhang, Ming Li

ECCV 2022 MODE: Multi-View Omnidirectional Depth Estimation with 360° Cameras Ming Li, Xueqian Jin, Xuejiao Hu, Jingzhao Dai, Sidan Du, Yang Li

ECCV 2022 Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation Jie Qin, Jie Wu, Ming Li, Xuefeng Xiao, Min Zheng, Xingang Wang

NeurIPS 2022 Pyramid Attention for Source Code Summarization Lei Chai, Ming Li

MLJ 2022 The Flowing Nature Matters: Feature Learning from the Control Flow Graph of Source Code for Bug Localization Yi-Fan Ma, Ming Li

ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

NeurIPS 2022 When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online Reinforcement Learning Haoyi Niu, Shubham Sharma, Yiwen Qiu, Ming Li, Guyue Zhou, Jianming Hu, Xianyuan Zhan

AAAI 2021 Enhancing Context-Based Meta-Reinforcement Learning Algorithms via an Efficient Task Encoder (Student Abstract) Feng Xu, Shengyi Jiang, Hao Yin, Zongzhang Zhang, Yang Yu, Ming Li, Dong Li, Wulong Liu

ICLRW 2021 Grassmann Graph Embedding Bingxin Zhou, Xuebin Zheng, Yu Guang Wang, Ming Li, Junbin Gao

ICML 2021 How Framelets Enhance Graph Neural Networks Xuebin Zheng, Bingxin Zhou, Junbin Gao, Yuguang Wang, Pietro Lió, Ming Li, Guido Montufar

AAAI 2021 Segatron: Segment-Aware Transformer for Language Modeling and Understanding He Bai, Peng Shi, Jimmy Lin, Yuqing Xie, Luchen Tan, Kun Xiong, Wen Gao, Ming Li

ICCV 2021 Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond Ming Li, Xinming Huang, Ziming Zhang

IJCAI 2021 Towards Generating Summaries for Lexically Confusing Code Through Code Erosion Fan Yan, Ming Li

AAAI 2020 Control Flow Graph Embedding Based on Multi-Instance Decomposition for Bug Localization Xuan Huo, Ming Li, Zhi-Hua Zhou

AAAI 2020 Deep Time-Stream Framework for Click-Through Rate Prediction by Tracking Interest Evolution Shu-Ting Shi, Wenhao Zheng, Jun Tang, Qing-Guo Chen, Yao Hu, Jianke Zhu, Ming Li

ICML 2020 Haar Graph Pooling Yu Guang Wang, Ming Li, Zheng Ma, Guido Montufar, Xiaosheng Zhuang, Yanan Fan

CVPRW 2020 Improve Image Codec's Performance by Variating Post Enhancing Neural Network: Submission of Zxw for CLIC2020 Ming Li, Yundong Zhang, Changsheng Xia, Jinwen Zan, Zhangming Huang, Dekai Chen, Guoxin Li, Jing Nie

ACML 2020 Learning Code Changes by Exploiting Bidirectional Converting Deviation Jia-Wei Mi, Shu-Ting Shi, Ming Li

NeurIPS 2020 Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma, Junyu Xuan, Yu Guang Wang, Ming Li, Pietro Liò

CVPRW 2019 A Better Color Space Conversion Based on Learned Variances for Image Compression Ming Li

AAAI 2019 Automatic Code Review by Learning the Revision of Source Code Shu-Ting Shi, Ming Li, David Lo, Ferdian Thung, Xuan Huo

AAAI 2019 Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest Between the Plagiarist and the Detector Yan-Ya Zhang, Ming Li

AAAI 2019 Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially Yudong Zhang, Wenhao Zheng, Ming Li

CVPRW 2019 VimicroABCnet: An Image Coder Combining a Better Color Space Conversion Algorithm and a Post Enhancing Network Ming Li

CVPRW 2018 An Implementation of Picture Compression with a CNN-Based Auto-Encoder Ming Li, Jianhua Hu, Changsheng Xia, Yundong Zhang

CVPRW 2018 Combine Traditional Compression Method with Convolutional Neural Networks Jianhua Hu, Ming Li, Changsheng Xia, Yundong Zhang

IJCAI 2018 Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization Zheng Xie, Ming Li

IJCAI 2018 Generating Thematic Chinese Poetry Using Conditional Variational Autoencoders with Hybrid Decoders Xiaopeng Yang, Xiaowen Lin, Shunda Suo, Ming Li

IJCAI 2018 Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training Huihui Wei, Ming Li

AAAI 2018 Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data Zheng Xie, Ming Li

IJCAI 2017 Enhancing the Unified Features to Locate Buggy Files by Exploiting the Sequential Nature of Source Code Xuan Huo, Ming Li

CVPR 2017 SphereFace: Deep Hypersphere Embedding for Face Recognition Weiyang Liu, Yandong Wen, Zhiding Yu, Ming Li, Bhiksha Raj, Le Song

IJCAI 2017 Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code Huihui Wei, Ming Li

IJCAI 2016 Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code Xuan Huo, Ming Li, Zhi-Hua Zhou

AAAI 2016 On Order-Constrained Transitive Distance Clustering Zhiding Yu, Weiyang Liu, Wenbo Liu, Yingzhen Yang, Ming Li, B. V. K. Vijaya Kumar

ECML-PKDD 2012 Classifying Stem Cell Differentiation Images by Information Distance Xianglilan Zhang, Hongnan Wang, Tony J. Collins, Zhigang Luo, Ming Li

ALT 2011 Information Distance and Its Extensions Ming Li

IJCAI 2009 Exploiting Multi-Modal Interactions: A Unified Framework Ming Li, Xiao-Bing Xue, Zhi-Hua Zhou

ICML 2009 Learning Instance Specific Distances Using Metric Propagation De-Chuan Zhan, Ming Li, Yufeng Li, Zhi-Hua Zhou

ECML-PKDD 2008 Online Manifold Regularization: A New Learning Setting and Empirical Study Andrew B. Goldberg, Ming Li, Xiaojin Zhu

IJCAI 2005 Semi-Supervised Regression with Co-Training Zhi-Hua Zhou, Ming Li

ALT 1997 Algorithmic Learning Theory, 8th International Conference, ALT '97, Sendai, Japan, October 6-8, 1997, Proceedings Ming Li, Akira Maruoka

ECML-PKDD 1997 On Prediction by Data Compression Paul M. B. Vitányi, Ming Li

ALT 1995 Inferring a DNA Sequence from Erroneous Copies (Abstract) John D. Kececioglu, Ming Li, John Tromp

AAAI 1991 A Quantitative Theory for Plan Merging David E. Foulser, Ming Li, Qiang Yang

COLT 1991 On the Complexity of Learning Strings and Sequences Tao Jiang, Ming Li

IJCAI 1989 The Minimum Description Length Principle and Its Application to Online Learning of Handprinted Characters Qiong Gao, Ming Li

COLT 1988 On the Learnability of Finite Automata Ming Li, Umesh V. Vazirani