Zhang, Min

138 publications

IJCAI 2025 A Survey on the Feedback Mechanism of LLM-Based AI Agents Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang

NeurIPS 2025 AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios Yunhao Hou, Bochao Zou, Min Zhang, Ran Chen, Shangdong Yang, Yanmei Zhang, Junbao Zhuo, Siheng Chen, Jiansheng Chen, Huimin Ma

ICML 2025 Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge Hanglei Hu, Yingying Guo, Zhikang Chen, Sen Cui, Fei Wu, Kun Kuang, Min Zhang, Bo Jiang

NeurIPS 2025 AgentRecBench: Benchmarking LLM Agent-Based Personalized Recommender Systems Yu Shang, Peijie Liu, Yuwei Yan, Zijing Wu, Leheng Sheng, Yuanqing Yu, Chumeng Jiang, An Zhang, Fengli Xu, Yu Wang, Min Zhang, Yong Li

AAAI 2025 BERT-Based Code Learning for Exception Localization and Type Prediction Chongyu Zhang, Qiping Tao, Liangyu Chen, Min Zhang

ICLR 2025 Beware of Calibration Data for Pruning Large Language Models Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang

CVPR 2025 Bridging Modalities: Improving Universal Multimodal Retrieval by Multimodal Large Language Models Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang

ICML 2025 CALM: Consensus-Aware Localized Merging for Multi-Task Learning Kunda Yan, Min Zhang, Sen Cui, Qu Zikun, Bo Jiang, Feng Liu, Changshui Zhang

AAAI 2025 CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang

AAAI 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

ICLR 2025 DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang

ICML 2025 ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Zhang Keli, Aimin Zhou, Fei Wu, Kun Kuang

NeurIPS 2025 Efficient Speech Language Modeling via Energy Distance in Continuous Latent Space Zhengrui Ma, Yang Feng, Chenze Shao, Fandong Meng, Jie Zhou, Min Zhang

ICCV 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen

NeurIPS 2025 Exploring the Translation Mechanism of Large Language Models Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min Zhang

UAI 2025 Fast Calculation of Feature Contributions in Boosting Trees Zhongli Jiang, Min Zhang, Dabao Zhang

NeurIPS 2025 FastLongSpeech: Enhancing Large Speech-Language Models for Efficient Long-Speech Processing Shoutao Guo, Shaolei Zhang, Qingkai Fang, Zhengrui Ma, Min Zhang, Yang Feng

ICML 2025 Function-to-Style Guidance of LLMs for Code Translation Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang

ICML 2025 Function-to-Style Guidance of LLMs for Code Translation Longhui Zhang, Bin Wang, Jiahao Wang, Xiaofeng Zhao, Min Zhang, Hao Yang, Meishan Zhang, Yu Li, Jing Li, Jun Yu, Min Zhang

ICLR 2025 IDInit: A Universal and Stable Initialization Method for Neural Network Training Yu Pan, Chaozheng Wang, Zekai Wu, Qifan Wang, Min Zhang, Zenglin Xu

ICML 2025 Improving Rationality in the Reasoning Process of Language Models Through Self-Playing Game Pinzheng Wang, Juntao Li, Zecheng Tang, Haijia Gui, Min Zhang

CVPR 2025 InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment Yunhong Lu, Qichao Wang, Hengyuan Cao, Xierui Wang, Xiaoyin Xu, Min Zhang

AAAI 2025 Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang

ICML 2025 LOGO — Long cOntext aliGnment via Efficient Preference Optimization Zecheng Tang, Zechen Sun, Juntao Li, Qiaoming Zhu, Min Zhang

NeurIPS 2025 Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization Chenrui Wang, Junyi Shu, Billy Chiu, Yu Li, Saleh Alharbi, Min Zhang, Jing Li

AAAI 2025 Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang

NeurIPS 2025 MASTER: Enhancing Large Language Model via Multi-Agent Simulated Teaching Liang Yue, Yihong Tang, Kehai Chen, Jie Liu, Min Zhang

ICML 2025 Overcoming Non-Monotonicity in Transducer-Based Streaming Generation Zhengrui Ma, Yang Feng, Min Zhang

ICLR 2025 ProtPainter: Draw or Drag Protein via Topology-Guided Diffusion Zhengxi Lu, Shizhuo Cheng, Tintin Jiang, Yan Zhang, Min Zhang

ICLR 2025 REMEDY: Recipe Merging Dynamics in Large Vision-Language Models Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu

ICLR 2025 Revealing and Mitigating Over-Attention in Knowledge Editing Pinzheng Wang, Zecheng Tang, Keyan Zhou, Juntao Li, Qiaoming Zhu, Min Zhang

NeurIPS 2025 SCAN: Self-Denoising Monte Carlo Annotation for Robust Process Reward Learning Yuyang Ding, Xinyu Shi, Juntao Li, Xiaobo Liang, Zhaopeng Tu, Min Zhang

NeurIPS 2025 SSRB: Direct Natural Language Querying to Massive Heterogeneous Semi-Structured Data Xin Zhang, Mingxin Li, Yanzhao Zhang, Dingkun Long, Yongqi Li, Yinghui Li, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang, Philip S. Yu

ICML 2025 Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences Yunhong Lu, Qichao Wang, Hengyuan Cao, Xiaoyin Xu, Min Zhang

ICML 2025 Strong and Weak Identifiability of Optimization-Based Causal Discovery in Non-Linear Additive Noise Models Mingjia Li, Hong Qian, Tian-Zuo Wang, Shujun Li, Min Zhang, Aimin Zhou

NeurIPS 2025 Thinking in Character: Advancing Role-Playing Agents with Role-Aware Reasoning Yihong Tang, Kehai Chen, Muyun Yang, Zheng-Yu Niu, Jing Li, Tiejun Zhao, Min Zhang

ICLRW 2025 Verifying Omega-Regular Properties of Neural Network-Controlled Systems via Proof Certificates Peixin Wang, Jianhao Bai, Dapeng Zhi, Min Zhang, Luke Ong

NeurIPS 2025 VimoRAG: Video-Based Retrieval-Augmented 3D Motion Generation for Motion Language Models Haidong Xu, Guangwei Xu, Zhedong Zheng, Xiatian Zhu, Wei Ji, Xiangtai Li, Ruijie Guo, Meishan Zhang, Min Zhang, Hao Fei

NeurIPS 2025 XIFBench: Evaluating Large Language Models on Multilingual Instruction Following Zhenyu Li, Xuefeng Bai, Yunfei Long, Kehai Chen, Yaoyin Zhang, Xuchen Wei, Juntao Li, Min Zhang

NeurIPS 2024 $\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng

AAAI 2024 An Empirical Study of CLIP for Text-Based Person Search Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang

ICLR 2024 Are BERT Family Good Instruction Followers? a Study on Their Potential and Limitations Yisheng Xiao, Juntao Li, Zechen Sun, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Min Zhang

NeurIPS 2024 AutoSurvey: Large Language Models Can Automatically Write Surveys Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang

JAIR 2024 Cross-Domain Constituency Parsing by Leveraging Heterogeneous Data Peiming Guo, Meishan Zhang, Yulong Chen, Jianling Li, Min Zhang, Yue Zhang

AAAI 2024 Expressive Forecasting of 3D Whole-Body Human Motions Pengxiang Ding, Qiongjie Cui, Haofan Wang, Min Zhang, Mengyuan Liu, Donglin Wang

ECCV 2024 GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang

NeurIPSW 2024 HuLE-Nav: Human-like Exploration for Zero-Shot Object Navigation via Vision-Language Models Peilong Han, Min Zhang, Jianye Hao, Hongyao Tang, Yan Zheng

NeurIPS 2024 In-Context Learning State Vector with Inner and Momentum Optimization Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

ICLR 2024 Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

ICLRW 2024 Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

NeurIPS 2024 Learnability Matters: Active Learning for Video Captioning Yiqian Zhang, Buyu Liu, Jun Bao, Qiang Huang, Min Zhang, Jun Yu

AAAI 2024 Learning to Reweight for Generalizable Graph Neural Network Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

ICLR 2024 MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang

NeurIPS 2024 Neural Collapse Inspired Feature Alignment for Out-of-Distribution Generalization Zhikang Chen, Min Zhang, Sen Cui, Haoxuan Li, Gang Niu, Mingming Gong, Changshui Zhang, Kun Zhang

NeurIPS 2024 NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu

NeurIPS 2024 Parameter Competition Balancing for Model Merging Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang

ECCV 2024 PiTe: Pixel-Temporal Alignment for Large Video-Language Model Yang Liu, Pengxiang Ding, Siteng Huang, Min Zhang, Han Zhao, Donglin Wang

AAAI 2024 Prompt-Based Distribution Alignment for Unsupervised Domain Adaptation Shuanghao Bai, Min Zhang, Wanqi Zhou, Siteng Huang, Zhirong Luan, Donglin Wang, Badong Chen

NeurIPSW 2024 ProtPainter: Draw or Drag Protein via Topology-Guided Diffusion Zhengxi Lu, Shizhuo Cheng, Yuru Jiang, Yan Zhang, Min Zhang

ECCV 2024 QUAR-VLA: Vision-Language-Action Model for Quadruped Robots Pengxiang Ding, Han Zhao, Wenjie Zhang, Wenxuan Song, Min Zhang, Siteng Huang, Ningxi Yang, Donglin Wang

AAAI 2024 Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward Martingales Dapeng Zhi, Peixin Wang, Cheng Chen, Min Zhang

NeurIPS 2024 SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang

AAAI 2024 Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang

NeurIPS 2024 Synergistic Dual Spatial-Aware Generation of Image-to-Text and Text-to-Image Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei

NeurIPS 2024 The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in a Low-Dimensional Space Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao

CVPR 2024 Troika: Multi-Path Cross-Modal Traction for Compositional Zero-Shot Learning Siteng Huang, Biao Gong, Yutong Feng, Min Zhang, Yiliang Lv, Donglin Wang

ICML 2024 VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang

ICMLW 2024 What Can VLMs Do for Zero-Shot Embodied Task Planning? Xian Fu, Min Zhang, Jianye Hao, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang

ICMLW 2024 What Can VLMs Do for Zero-Shot Embodied Task Planning? Xian Fu, Min Zhang, Jianye Hao, Peilong Han, Hao Zhang, Lei Shi, Hongyao Tang

ACML 2024 When and How to Grow? on Efficient Pre-Training via Model Growth Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai

AAAI 2023 AMOM: Adaptive Masking over Masking for Conditional Masked Language Model Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang

AAAI 2023 Adversarial Self-Attention for Language Understanding Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang

NeurIPS 2023 Beyond MLE: Convex Learning for Text Generation Chenze Shao, Zhengrui Ma, Min Zhang, Yang Feng

ICMLW 2023 Boosting Off-Policy RL with Policy Representation and Policy-Extended Value Function Approximator Min Zhang, Jianye Hao, Hongyao Tang, Yan Zheng

NeurIPS 2023 Boosting Verification of Deep Reinforcement Learning via Piece-Wise Linear Decision Neural Networks Jiaxu Tian, Dapeng Zhi, Si Liu, Peixin Wang, Cheng Chen, Min Zhang

CVPR 2023 Boosting Verified Training for Robust Image Classifications via Abstraction Zhaodi Zhang, Zhiyi Xue, Yang Chen, Si Liu, Yueling Zhang, Jing Liu, Min Zhang

AAAI 2023 Deep Attentive Model for Knowledge Tracing Xinping Wang, Liangyu Chen, Min Zhang

ICCV 2023 FSAR: Federated Skeleton-Based Action Recognition with Adaptive Topology Structure and Knowledge Distillation Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si

ICLR 2023 Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation Zhengrui Ma, Chenze Shao, Shangtong Gui, Min Zhang, Yang Feng

AAAI 2023 Improving Simultaneous Machine Translation with Monolingual Data Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang

IJCAI 2023 Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

ICCV 2023 MAP: Towards Balanced Generalization of IID and OOD Through Model-Agnostic Adapters Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang

IJCAI 2023 PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang

IJCAI 2023 RaSa: Relation and Sensitivity Aware Representation Learning for Text-Based Person Search Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang

AAAI 2023 RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang

ICLR 2023 Toward Adversarial Training on Contextualized Language Representation Hongqiu Wu, Yongxiang Liu, Hanwen Shi, Hai Zhao, Min Zhang

AAAI 2023 Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning Rongxiang Weng, Qiang Wang, Wensen Cheng, Changfeng Zhu, Min Zhang

ICLR 2023 Volumetric Optimal Transportation by Fast Fourier Transform Na Lei, Dongsheng An, Min Zhang, Xiaoyin Xu, David Gu

AAAI 2022 A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su

AAAI 2022 Deep Fusing Pre-Trained Models into Neural Machine Translation Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang

IJCAI 2022 Effective Graph Context Representation for Document-Level Machine Translation Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang

IJCAI 2022 Efficient Document-Level Event Extraction via Pseudo-Trigger-Aware Pruned Complete Graph Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang

IJCAI 2022 Image-Text Retrieval: A Survey on Recent Research and Development Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang

NeurIPS 2022 LasUIE: Unifying Information Extraction with Latent Adaptive Structure-Aware Generative Language Model Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua

IJCAI 2022 Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract) Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma

CVPRW 2022 NTIRE 2022 Image Inpainting Challenge: Report Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang

CVPR 2022 Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He

NeurIPSW 2022 Towards a Unified Policy Abstraction Theory and Representation Learning Approach in Markov Decision Processes Min Zhang, Hongyao Tang, Jianye Hao, Yan Zheng

NeurIPSW 2022 A Unified Framework to Understand Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective Xinwei Zhang, Nicola Elia, Mingyi Hong

ECCV 2022 Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang

IJCAI 2021 A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues Ante Wang, Linfeng Song, Hui Jiang, Shaopeng Lai, Junfeng Yao, Min Zhang, Jinsong Su

AAAI 2021 Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang, Min Zhang, Yachen Kang, Donglin Wang

ICCV 2021 Cortical Surface Shape Analysis Based on Alexandrov Polyhedra Min Zhang, Yang Guo, Na Lei, Zhou Zhao, Jianfeng Wu, Xiaoyin Xu, Yalin Wang, Xianfeng Gu

AAAI 2021 Graph Heterogeneous Multi-Relational Recommendation Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma

IJCAI 2021 Improving Context-Aware Neural Machine Translation with Source-Side Monolingual Documents Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou

NeurIPS 2021 R-Drop: Regularized Dropout for Neural Networks Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu

AAAI 2021 Tightening Robustness Verification of Convolutional Neural Networks with Fine-Grained Linear Approximation Yiting Wu, Min Zhang

IJCAI 2021 Transfer Learning via Optimal Transportation for Integrative Cancer Patient Stratification Ziyu Liu, Wei Shao, Jie Zhang, Min Zhang, Kun Huang

ECCV 2020 AE-OT-GAN: Training GANs from Data Specific Latent Distribution Dongsheng An, Yang Guo, Min Zhang, Xin Qi, Na Lei, Xianfang Gu

AAAI 2020 Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang

IJCAI 2020 BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma

AAAI 2020 Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo

AAAI 2020 Efficient Heterogeneous Collaborative Filtering Without Negative Sampling for Recommendation Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

AAAI 2020 Improving Neural Relation Extraction with Positive and Unlabeled Learning Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang

AAAI 2020 Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou

IJCAI 2019 Profit-Driven Task Assignment in Spatial Crowdsourcing Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng

IJCAI 2019 Self-Attentive Biaffine Dependency Parsing Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si

AAAI 2019 Syntax-Aware Neural Semantic Role Labeling Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si

JMLR 2018 A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations Chen Chen, Min Ren, Min Zhang, Dabao Zhang

AAAI 2018 Adversarial Learning for Chinese NER from Crowd Annotations YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang

IJCAI 2018 Aspect Sentiment Classification with Both Word-Level and Clause-Level Attention Networks Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou

AAAI 2018 Improved English to Russian Translation by Neural Suffix Prediction Kai Song, Yue Zhang, Min Zhang, Weihua Luo

AAAI 2018 SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang

IJCAI 2018 Your Tweets Reveal What You like: Introducing Cross-Media Content Information into Multi-Domain Recommendation Weizhi Ma, Min Zhang, Chenyang Wang, Cheng Luo, Yiqun Liu, Shaoping Ma

AAAI 2017 Neural Machine Translation Advised by Statistical Machine Translation Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang

IJCAI 2016 Multi-Grained Role Labeling Based on Multi-Modality Information for Real Customer Service Telephone Conversation Weizhi Ma, Min Zhang, Yiqun Liu, Shaoping Ma

IJCAI 2016 Pay Me and I'll Follow You: Detection of Crowdturfing Following Activities in Microblog Environment Yuli Liu, Yiqun Liu, Min Zhang, Shaoping Ma

IJCAI 2016 Rating-Boosted Latent Topics: Understanding Users and Items with Ratings and Reviews Yunzhi Tan, Min Zhang, Yiqun Liu, Shaoping Ma

IJCAI 2015 Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

IJCAI 2015 Detecting Promotion Campaigns in Community Question Answering Xin Li, Yiqun Liu, Min Zhang, Shaoping Ma, Xuan Zhu, Jiashen Sun

AAAI 2014 Fraudulent Support Telephone Number Identification Based on Co-Occurrence Information on the Web Xin Li, Yiqun Liu, Min Zhang, Shaoping Ma

JAIR 2014 Topic-Based Dissimilarity and Sensitivity Models for Translation Rule Selection Min Zhang, Xinyan Xiao, Deyi Xiong, Qun Liu

AAAI 2013 A Topic-Based Coherence Model for Statistical Machine Translation Deyi Xiong, Min Zhang

IJCAI 2013 Modeling Lexical Cohesion for Document-Level Machine Translation Deyi Xiong, Guosheng Ben, Min Zhang, Yajuan Lv, Qun Liu

IJCAI 2013 Smoothing for Bracketing Induction Xiangyu Duan, Min Zhang, Wenliang Chen

IJCAI 2011 Predicting Epidemic Tendency Through Search Behavior Analysis Danqing Xu, Yiqun Liu, Min Zhang, Shaoping Ma, Anqi Cui, Liyun Ru

AAAI 2011 Tree Sequence Kernel for Natural Language Jun Sun, Min Zhang, Chew Lim Tan

CVPR 2008 Spectral Methods for Semi-Supervised Manifold Learning Zhenyue Zhang, Hongyuan Zha, Min Zhang