Zhang, Ming

60 publications

ICCV 2025 3D Gaussian Splatting Driven Multi-View Robust Physical Adversarial Camouflage Generation Tianrui Lou, Xiaojun Jia, Siyuan Liang, Jiawei Liang, Ming Zhang, Yanjun Xiao, Xiaochun Cao

AAAI 2025 Attention Bootstrapping for Multi-Modal Test-Time Adaptation Yusheng Zhao, Junyu Luo, Xiao Luo, Jinsheng Huang, Jingyang Yuan, Zhiping Xiao, Ming Zhang

AAAI 2025 Cluster-Guided Contrastive Class-Imbalanced Graph Classification Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Jianhao Shen, Ziyue Qiao, Ming Zhang

ICML 2025 DANCE: Dual Unbiased Expansion with Group-Acquired Alignment for Out-of-Distribution Graph Fairness Learning Yifan Wang, Hourun Li, Ling Yue, Zhiping Xiao, Jia Yang, Changling Zhou, Wei Ju, Ming Zhang, Xiao Luo

TMLR 2025 DELTA: Dual Consistency Delving with Topological Uncertainty for Active Graph Domain Adaptation Pengyun Wang, Yadi Cao, Chris Russell, Yanxin Shen, Junyu Luo, Ming Zhang, Siyu Heng, Xiao Luo

NeurIPS 2025 Deeper with Riemannian Geometry: Overcoming Oversmoothing and Oversquashing for Graph Foundation Models Li Sun, Zhenhao Huang, Ming Zhang, Philip S. Yu

AAAI 2025 DisCo: Graph-Based Disentangled Contrastive Learning for Cold-Start Cross-Domain Recommendation Hourun Li, Yifan Wang, Zhiping Xiao, Jia Yang, Changling Zhou, Ming Zhang, Wei Ju

NeurIPS 2025 Dynamic Bundling with Large Language Models for Zero-Shot Inference on Text-Attributed Graphs Yusheng Zhao, Qixin Zhang, Xiao Luo, Weizhi Zhang, Zhiping Xiao, Wei Ju, Philip S. Yu, Ming Zhang

NeurIPS 2025 EvaLearn: Quantifying the Learning Capability and Efficiency of LLMs via Sequential Problem Solving Shihan Dou, Ming Zhang, Chenhao Huang, Jiayi Chen, Feng Chen, Shichun Liu, Yan Liu, Chenxiao Liu, Cheng Zhong, Zongzhang Zhang, Tao Gui, Chao Xin, Wei Chengzhi, Lin Yan, Qi Zhang, Xuanjing Huang

ICML 2025 ExLM: Rethinking the Impact of $\texttt[MASK]$ Tokens in Masked Language Models Kangjie Zheng, Junwei Yang, Siyue Liang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

AAAI 2025 GeoMamba: Towards Multi-Granular POI Recommendation with Geographical State Space Model Yifang Qin, Jiaxuan Xie, Zhiping Xiao, Ming Zhang

ICCV 2025 Gradient-Reweighted Adversarial Camouflage for Physical Object Detection Evasion Jiawei Liang, Siyuan Liang, Tianrui Lou, Ming Zhang, Wenjin Li, Dunqiu Fan, Xiaochun Cao

IJCAI 2025 Physical Adversarial Camouflage Through Gradient Calibration and Regularization Jiawei Liang, Siyuan Liang, Jianjie Huang, Chenxi Si, Ming Zhang, Xiaochun Cao

NeurIPS 2025 SEGA: Shaping Semantic Geometry for Robust Hashing Under Noisy Supervision Yiyang Gu, Bohan Wu, Qinghua Ran, Rong-Cheng Tu, Xiao Luo, Zhiping Xiao, Wei Ju, Dacheng Tao, Ming Zhang

ICLR 2025 SMI-Editor: Edit-Based SMILES Language Model with Fragment-Level Supervision Kangjie Zheng, Siyue Liang, Junwei Yang, Bin Feng, Zequn Liu, Wei Ju, Zhiping Xiao, Ming Zhang

ICML 2025 Sparse Causal Discovery with Generative Intervention for Unsupervised Graph Domain Adaptation Junyu Luo, Yuhao Tang, Yiwei Fu, Xiao Luo, Zhizhuo Kou, Zhiping Xiao, Wei Ju, Wentao Zhang, Ming Zhang

AAAI 2025 TRACI: A Data-Centric Approach for Multi-Domain Generalization on Graphs Yusheng Zhao, Changhu Wang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

ICML 2025 Test-Time Adaptation on Graphs via Adaptive Subgraph-Based Selection and Regularized Prototypes Yusheng Zhao, Qixin Zhang, Xiao Luo, Junyu Luo, Wei Ju, Zhiping Xiao, Ming Zhang

IJCAI 2024 A Survey of Data-Efficient Graph Learning Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang

CVPR 2024 All in One Framework for Multimodal Re-Identification in the Wild He Li, Mang Ye, Ming Zhang, Bo Du

CVPR 2024 CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition Qixuan Zheng, Ming Zhang, Hong Yan

NeurIPS 2024 EGODE: An Event-Attended Graph ODE Framework for Modeling Rigid Dynamics Jingyang Yuan, Gongbo Sun, Zhiping Xiao, Hang Zhou, Xiao Luo, Junyu Luo, Yusheng Zhao, Wei Ju, Ming Zhang

ICML 2024 ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou

ICML 2024 Hypergraph-Enhanced Dual Semi-Supervised Graph Classification Wei Ju, Zhengyang Mao, Siyu Yi, Yifang Qin, Yiyang Gu, Zhiping Xiao, Yifan Wang, Xiao Luo, Ming Zhang

AAAI 2024 LLMEval: A Preliminary Study on How to Evaluate Large Language Models Yue Zhang, Ming Zhang, Haipeng Yuan, Shichun Liu, Yongyao Shi, Tao Gui, Qi Zhang, Xuanjing Huang

ICLR 2024 Measuring Vision-Language STEM Skills of Neural Models Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan, Ming Zhang, Chenguang Wang

ICML 2024 Mol-AE: Auto-Encoder Based Molecular Representation Learning with 3D Cloze Test Objective Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou

ICML 2024 PGODE: Towards High-Quality System Dynamics Modeling Xiao Luo, Yiyang Gu, Huiyu Jiang, Hang Zhou, Jinsheng Huang, Wei Ju, Zhiping Xiao, Ming Zhang, Yizhou Sun

AAAI 2024 Preparing Lessons for Progressive Training on Language Models Yu Pan, Ye Yuan, Yichun Yin, Jiaxin Shi, Zenglin Xu, Ming Zhang, Lifeng Shang, Xin Jiang, Qun Liu

IJCAI 2024 Rank and Align: Towards Effective Source-Free Graph Domain Adaptation Junyu Luo, Zhiping Xiao, Yifan Wang, Xiao Luo, Jingyang Yuan, Wei Ju, Langechuan Liu, Ming Zhang

NeurIPS 2023 A*Net: A Scalable Path-Based Reasoning Approach for Knowledge Graphs Zhaocheng Zhu, Xinyu Yuan, Michael Galkin, Louis-Pascal Xhonneux, Ming Zhang, Maxime Gazeau, Jian Tang

AAAI 2023 GLCC: A General Framework for Graph-Level Clustering Wei Ju, Yiyang Gu, Binqi Chen, Gongbo Sun, Yifang Qin, Xingyuming Liu, Xiao Luo, Ming Zhang

ICLR 2023 GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu

ICML 2023 HOPE: High-Order Graph ODE for Modeling Interacting Dynamics Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

TMLR 2023 RIGNN: A Rationale Perspective for Semi-Supervised Open-World Graph Classification Xiao Luo, Yusheng Zhao, Zhengyang Mao, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun

TMLR 2023 Zero-Shot Node Classification with Graph Contrastive Embedding Network Wei Ju, Yifang Qin, Siyu Yi, Zhengyang Mao, Kangjie Zheng, Luchen Liu, Xiao Luo, Ming Zhang

ECML-PKDD 2022 AD-AUG: Adversarial Data Augmentation for Counterfactual Recommendation Yifan Wang, Yifang Qin, Yu Han, Mingyang Yin, Jingren Zhou, Hongxia Yang, Ming Zhang

AAAI 2022 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, Sheng Wang

IJCAI 2022 Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao

IJCAI 2022 TGNN: A Joint Semi-Supervised Framework for Graph-Level Classification Wei Ju, Xiao Luo, Meng Qu, Yifan Wang, Chong Chen, Minghua Deng, Xian-Sheng Hua, Ming Zhang

ICCVW 2021 Partial FC: Training 10 Million Identities on a Single Machine Xiang An, Xuhan Zhu, Yuan Gao, Yang Xiao, Yongle Zhao, Ziyong Feng, Lan Wu, Bin Qin, Ming Zhang, Debing Zhang, Ying Fu

CVPR 2021 Partial Feature Selection and Alignment for Multi-Source Domain Adaptation Yangye Fu, Ming Zhang, Xing Xu, Zuo Cao, Chao Ma, Yanli Ji, Kai Zuo, Huimin Lu

CVPR 2021 RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection over Union Zhidong Liang, Zehan Zhang, Ming Zhang, Xian Zhao, Shiliang Pu

ICML 2020 A Graph to Graphs Framework for Retrosynthesis Prediction Chence Shi, Minkai Xu, Hongyu Guo, Ming Zhang, Jian Tang

ICLR 2020 GraphAF: A Flow-Based Autoregressive Model for Molecular Graph Generation Chence Shi, Minkai Xu, Zhaocheng Zhu, Weinan Zhang, Ming Zhang, Jian Tang

NeurIPS 2020 Multi-Agent Trajectory Prediction with Fuzzy Query Attention Nitin Kamra, Hao Zhu, Dweep Kumarbhai Trivedi, Ming Zhang, Yan Liu

IJCAI 2018 An Ensemble of Retrieval-Based and Generation-Based Human-Computer Conversation Systems Yiping Song, Cheng-Te Li, Jian-Yun Nie, Ming Zhang, Dongyan Zhao, Rui Yan

AAAI 2018 Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction Luchen Liu, Jianhao Shen, Ming Zhang, Zichang Wang, Jian Tang

AAAI 2018 Towards a Neural Conversation Model with Diversity Net Using Determinantal Point Processes Yiping Song, Rui Yan, Yansong Feng, Yaoyuan Zhang, Dongyan Zhao, Ming Zhang

IJCAI 2017 Semi-Supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-Graph Guided Random Walks He Jiang, Yangqiu Song, Chenguang Wang, Ming Zhang, Yizhou Sun

IJCAI 2017 Socialized Word Embeddings Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang

IJCAI 2016 StalemateBreaker: A Proactive Content-Introducing Approach to Automatic Human-Computer Conversation Xiang Li, Lili Mou, Rui Yan, Ming Zhang

AAAI 2016 Text Classification with Heterogeneous Information Network Kernels Chenguang Wang, Yangqiu Song, Haoran Li, Ming Zhang, Jiawei Han

IJCAI 2016 Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction Yichun Yin, Furu Wei, Li Dong, Kaimeng Xu, Ming Zhang, Ming Zhou

IJCAI 2015 Constrained Information-Theoretic Tripartite Graph Clustering to Identify Semantically Similar Relations Chenguang Wang, Yangqiu Song, Dan Roth, Chi Wang, Jiawei Han, Heng Ji, Ming Zhang

IJCAI 2015 Opportunities or Risks to Reduce Labor in Crowdsourcing Translation? Characterizing Cost Versus Quality via a PageRank-HITS Hybrid Model Rui Yan, Yiping Song, Cheng-Te Li, Ming Zhang, Xiaohua Hu

AAAI 2015 Spectral Label Refinement for Noisy and Missing Text Labels Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang

AAAI 2014 SUIT: A Supervised User-Item Based Topic Model for Sentiment Analysis Fangtao Li, Sheng Wang, Shenghua Liu, Ming Zhang

ICML 2014 Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Jian Tang, Zhaoshi Meng, Xuanlong Nguyen, Qiaozhu Mei, Ming Zhang

AAAI 2011 Collaborative Users' Brand Preference Mining Across Multiple Domains from Implicit Feedbacks Jian Tang, Jun Yan, Lei Ji, Ming Zhang, Shaodan Guo, Ning Liu, Xianfang Wang, Zheng Chen