| 2026 | AAAI | Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy. | Shengjia Chen, Luping Ji, Shuang Peng, Sicheng Zhu, Mao Ye |
| 2026 | AAAI | Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection. | Weiwei Duan, Luping Ji, Jianghong Huang, Sicheng Zhu, Mao Ye |
| 2026 | AAAI | Hierarchical Frequency-Guided Alignment Transformer for Compressed Video Quality Enhancement. | Liuhan Peng, Shuai Li, Yanbo Gao, Mao Ye, Chong Lv |
| 2026 | ASPDAC | X-Matrix Shield: Defeating Tilted FIB and Rerouting Attacks through 3D-Interlaced Protection. | Jiaji He, Junfeng Cai, Yaohua Wang, Fei Zhao, Mao Ye, Yongqiang Lyu |
| 2026 | ISCAS | A 7-bit 1-GS/s Single-Channel Charge-Injection Loop-Unrolled SAR ADC with Foreground Calibration. | Cheng Yuan, Shipeng Zhang, Wenting Wang, Qiuwei Wang, Mao Ye, Yong Chen |
| 2026 | ISCAS | A 7-bit 1-GS/s Single-Channel Partial Loop-Unrolled SAR ADC Featuring Constant Input Common-Mode for Comparators in 28-nm CMOS. | Shipeng Zhang, Cheng Yuan, Qiuwei Wang, Wenting Wang, Yao Li, Mao Ye, Yong Chen |
| 2026 | WWW | Green Industrial Engineering on the Web: Agent-Driven Ant Colony Optimization Tuning for Energy-Efficient 3D Pipe Routing. | Xuanhan Fan, Rui Ding, Haojie Liu, Jibin Zhou, Han Liu, Yuanman Li, Wei Wang, Mao Ye |
| 2025 | AAAI | Motion Prior Knowledge Learning with Homogeneous Language Descriptions for Moving Infrared Small Target Detection. | Shengjia Chen, Luping Ji, Weiwei Duan, Shuang Peng, Mao Ye |
| 2025 | AAAI | Queryable Prototype Multiple Instance Learning with Vision-Language Models for Incremental Whole Slide Image Classification. | Jiaxiang Gou, Luping Ji, Pei Liu, Mao Ye |
| 2025 | AAAI | Self-Prompting Analogical Reasoning for UAV Object Detection. | Nianxin Li, Mao Ye, Lihua Zhou, Song Tang, Yan Gan, Zizhuo Liang, Xiatian Zhu |
| 2025 | AAAI | FreeCap: Hybrid Calibration-Free Motion Capture in Open Environments. | Aoru Xue, Yiming Ren, Zining Song, Mao Ye, Xinge Zhu, Yuexin Ma |
| 2025 | CVPR | Pseudo Visible Feature Fine-Grained Fusion for Thermal Object Detection. | Ting Li, Mao Ye, Tianwen Wu, Nianxin Li, Shuaifeng Li, Song Tang, Luping Ji |
| 2025 | CVPR | OpenHumanVid: A Large-Scale High-Quality Dataset for Enhancing Human-Centric Video Generation. | Hui Li, Mingwang Xu, Yun Zhan, Shan Mu, Jiaye Li, Kaihui Cheng, Yuxuan Chen, Tan Chen, Mao Ye, Jingdong Wang, Siyu Zhu |
| 2025 | CVPR | Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data. | Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu |
| 2025 | CVPR | Bayesian Test-Time Adaptation for Vision-Language Models. | Lihua Zhou, Mao Ye, Shuaifeng Li, Nianxin Li, Xiatian Zhu, Lei Deng, Hongbin Liu, Zhen Lei |
| 2025 | ICLR | Proxy Denoising for Source-Free Domain Adaptation. | Song Tang, Wenxin Su, Yan Gan, Mao Ye, Jianwei Zhang, Xiatian Zhu |
| 2025 | ICLR | Interpretable Vision-Language Survival Analysis with Ordinal Inductive Bias for Computational Pathology. | Pei Liu, Luping Ji, Jiaxiang Gou, Bo Fu, Mao Ye |
| 2025 | ICML | Generative Data Mining with Longtail-Guided Diffusion. | David S. Hayden, Mao Ye, Timur Garipov, Gregory P. Meyer, Carl Vondrick, Zhao Chen, Yuning Chai, Eric M. Wolff, Siddhartha S. Srinivasa |
| 2025 | ICML | High Dynamic Range Novel View Synthesis with Single Exposure. | Kaixuan Zhang, Hu Wang, Minxian Li, Mingwu Ren, Mao Ye, Xiatian Zhu |
| 2025 | ICRA | Uncertainty-Guided Enhancement on Driving Perception System Via Foundation Models. | Yunhao Yang, Yuxin Hu, Mao Ye, Zaiwei Zhang, Zhichao Lu, Yi Xu, Ufuk Topcu, Ben Snyder |
| 2025 | WACV | VLMine: Long-Tail Data Mining with Vision Language Models. | Mao Ye, Gregory P. Meyer, Zaiwei Zhang, Dennis Park, Siva Karthik Mustikovela, Yuning Chai, Eric M. Wolff |
| 2024 | CVPR | Source-Free Domain Adaptation with Frozen Multimodal Foundation Model. | Song Tang, Wenxin Su, Mao Ye, Xiatian Zhu |
| 2023 | ICCV | Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. | Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu |
| 2023 | ICCV | Homeomorphism Alignment for Unsupervised Domain Adaptation. | Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xuqian Fan, Ferrante Neri |
| 2023 | ICLR | Learning Diffusion Bridges on Constrained Domains. | Xingchao Liu, Lemeng Wu, Mao Ye, Qiang Liu |
| 2023 | ICML | Bit Allocation using Optimization. | Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang |
| 2023 | ICONIP | Unsupervised Feature Selection Using Both Similar and Dissimilar Structures. | Tao Xiang, Liang Tian, Peng Li, Jie Liu, Mao Ye |
| 2023 | IJCAI | Independent Feature Decomposition and Instance Alignment for Unsupervised Domain Adaptation. | Qichen He, Siying Xiao, Mao Ye, Xiatian Zhu, Ferrante Neri, Dongde Hou |
| 2022 | CVPR | Source-Free Object Detection by Learning to Overlook Domain Style. | Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong |
| 2022 | CVPR | NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. | Ren Yang, Radu Timofte, Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, Ying Chen, Youcheng Ben, Xiao Zhou, Chen Fu, Pei Cheng, Gang Yu, Junyi Li, Renlong Wu, Zhilu Zhang, Wei Shang, Zhengyao Lv, Yunjin Chen, Mingcai Zhou, Dongwei Ren, Kai Zhang, Wangmeng Zuo, Pavel Ostyakov, Dmitry Vyal, Shakarim Soltanayev, Chervontsev Sergey, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Pablo Navarrete Michelini, Yunhua Lu, Diankai Zhang, Shaoli Liu, Si Gao, Biao Wu, Chengjian Zheng, Xiaofeng Zhang, Kaidi Lu, Ning Wang, Thuong Nguyen Canh, Thong Bach, Qing Wang, Xiaopeng Sun, Haoyu Ma, Shijie Zhao, Junlin Li, Liangbin Xie, Shuwei Shi, Yujiu Yang, Xintao Wang, Jinjin Gu, Chao Dong, Xiaodi Shi, Chunmei Nian, Dong Jiang, Jucai Lin, Zhihuai Xie, Mao Ye, Dengyan Luo, Liuhan Peng, Shengjie Chen, Xin Liu, Qian Wang, Boyang Liang, Hang Dong, Yuhao Huang, Kai Chen, Xingbei Guo, Yujing Sun, Huilei Wu, Pengxu Wei, Yulin Huang, Junying Chen, Ik Hyun Lee, Sunder Ali Khowaja, Jiseok Yoon |
| 2022 | ECCV | AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. | Ren Yang, Radu Timofte, Xin Li, Qi Zhang, Lin Zhang, Fanglong Liu, Dongliang He, Fu Li, He Zheng, Weihang Yuan, Pavel Ostyakov, Dmitry Vyal, Magauiya Zhussip, Xueyi Zou, Youliang Yan, Lei Li, Jingzhu Tang, Ming Chen, Shijie Zhao, Yu Zhu, Xiaoran Qin, Chenghua Li, Cong Leng, Jian Cheng, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Bingchen Li, Xin Li, Mingxi Li, Ding Liu, Wenbin Zou, Peijie Dong, Tian Ye, Yunchen Zhang, Ming Tan, Xin Niu, Mustafa Ayazoglu, Marcos V. Conde, Ui-Jin Choi, Zhuang Jia, Tianyu Xu, Yijian Zhang, Mao Ye, Dengyan Luo, Xiaofeng Pan, Liuhan Peng |
| 2022 | ICASSP | A Multiscale Gradient-Backpropagation Optimization Framework for Deformable Convolution Based Compressed Video Enhancement. | Yanbo Gao, Menghu Jia, Shuai Li, Xun Cai, Mao Ye, Frdric Dufaux |
| 2022 | ICML | Centroid Approximation for Bootstrap: Improving Particle Quality at Inference. | Mao Ye, Qiang Liu |
| 2022 | IJCAI | KUNet: Imaging Knowledge-Inspired Single HDR Image Reconstruction. | Hu Wang, Mao Ye, Xiatian Zhu, Shuai Li, Ce Zhu, Xue Li |
| 2022 | ISCAS | Recurrent Deformable Fusion for Compressed Video Artifact Reduction. | Liuhan Peng, Askar Hamdulla, Mao Ye, Shuai Li, Hongwei Guo |
| 2022 | ICRA | Multi-Class 3D Object Detection with Single-Class Supervision. | Mao Ye, Chenxi Liu, Maoqing Yao, Weiyue Wang, Zhaoqi Leng, Charles R. Qi, Dragomir Anguelov |
| 2022 | PAKDD | Attention-to-Embedding Framework for Multi-instance Learning. | Mei Yang, Yu-Xuan Zhang, Mao Ye, Fan Min |
| 2022 | UAI | Pareto navigation gradient descent: a first-order algorithm for optimization in pareto set. | Mao Ye, Qiang Liu |
| 2022 | UAI | Future gradient descent for adapting the temporal shifting data distribution in online recommendation systems. | Mao Ye, Ruichen Jiang, Haoxiang Wang, Dhruv Choudhary, Xiaocong Du, Bhargav Bhushanam, Aryan Mokhtari, Arun Kejariwal, Qiang Liu |
| 2021 | AAAI | Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision. | Xingchao Liu, Mao Ye, Dengyong Zhou, Qiang Liu |
| 2021 | CVPR | MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training. | Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu |
| 2021 | ICLR | VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments. | Lizhen Nie, Mao Ye, Qiang Liu, Dan Nicolae |
| 2021 | ISNCC | Overlap-Minimization Scheduling Strategy for Data Transmission in VANET. | Yong Zhang, Mao Ye, Lin Guan |
| 2021 | VCIP | Alignment-Free Video Compression Artifact Reduction. | Dengyan Luo, Mao Ye, Shengjie Chen, Xue Li |
| 2020 | ACL | SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. | Mao Ye, Chengyue Gong, Qiang Liu |
| 2020 | CVPR | Color-wise Attention Network for Low-light Image Enhancement. | Yousef Atoum, Mao Ye, Liu Ren, Ying Tai, Xiaoming Liu |
| 2020 | CVPR | Distribution-Aware Coordinate Representation for Human Pose Estimation. | Feng Zhang, Xiatian Zhu, Hanbin Dai, Mao Ye, Ce Zhu |
| 2020 | EDCC | Predicting Uncorrectable Memory Errors for Proactive Replacement: An Empirical Study on Large-Scale Field Data. | Xiaoming Du, Cong Li, Shen Zhou, Mao Ye, Jing Li |
| 2020 | ICML | Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. | Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu |
| 2020 | ICML | Go Wide, Then Narrow: Efficient Training of Deep Thin Networks. | Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc V. Le, Qiang Liu, Dale Schuurmans |
| 2020 | ISCAS | A Power-Efficient 10-MHz Bandwidth Active-RC CTDSM with a Charge-Recycled Highly-Linear 5-Level SC DAC. | He Tong Wang, Mao Ye, Yang Zhang, Kong-Pang Pun |
| 2019 | CVPR | Fast Human Pose Estimation. | Feng Zhang, Xiatian Zhu, Mao Ye |
| 2019 | ISCA | Triad-NVM: persistency for integrity-protected and encrypted non-volatile memories. | Amro Awad, Mao Ye, Yan Solihin, Laurent Njilla, Kazi Abu Zubair |
| 2018 | ICML | Variable Selection via Penalized Neural Network: a Drop-Out-One Loss Approach. | Mao Ye, Yan Sun |
| 2018 | ISMAR | On Exploiting Per-Pixel Motion Conflicts to Extract Secondary Motions. | Benzun Pious Wisely Babu, Zhixin Yan, Mao Ye, Liu Ren |
| 2018 | MICRO | Osiris: A Low-Cost Mechanism to Enable Restoration of Secure Non-Volatile Memories. | Mao Ye, Clayton Hughes, Amro Awad |
| 2017 | ICCV | Pose-Invariant Face Alignment with a Single CNN. | Amin Jourabloo, Mao Ye, Xiaoming Liu, Liu Ren |
| 2016 | BMVC | Memory-based Gait Recognition. | Dan Liu, Mao Ye, Xudong Li, Feng Zhang, Lan Lin |
| 2016 | CLUSTER | Accelerating I/O Performance of SVM on HDFS. | Mao Ye, Jun Wang, Jiangling Yin, Xuhong Zhang |
| 2016 | ISMAR | Edge Snapping-Based Depth Enhancement for Dynamic Occlusion Handling in Augmented Reality. | Chao Du, Yen-Lin Chen, Mao Ye, Liu Ren |
| 2015 | CVPR | 3D Reconstruction in the presence of glasses by acoustic and stereo fusion. | Mao Ye, Yu Zhang, Ruigang Yang, Dinesh Manocha |
| 2014 | CVPR | Real-Time Simultaneous Pose and Shape Estimation for Articulated Objects Using a Single Depth Camera. | Mao Ye, Ruigang Yang |
| 2014 | CVPR | Quality Dynamic Human Body Modeling Using a Single Low-Cost Depth Camera. | Qing Zhang, Bo Fu, Mao Ye, Ruigang Yang |
| 2014 | CVPR | Data-Driven Flower Petal Modeling with Botany Priors. | Chenxi Zhang, Mao Ye, Bo Fu, Ruigang Yang |
| 2014 | HCI | Sentences Extraction from Digital Publication for Domain-Specific Knowledge Service. | Mao Ye, Lifeng Jin, Zhi Tang, Jianbo Xu |
| 2014 | HCI | A Semantic Recommender System for Learning Based on Encyclopedia of Digital Publication. | Mao Ye, Lifeng Jin, Zhi Tang, Jianbo Xu |
| 2014 | PAKDD | Mining GPS Data for Trajectory Recommendation. | Peifeng Yin, Mao Ye, Wang-Chien Lee, Zhenhui Li |
| 2013 | CIKM | Location recommendation for out-of-town users in location-based social networks. | Gregory Ference, Mao Ye, Wang-Chien Lee |
| 2013 | CVPR | Video Enhancement of People Wearing Polarized Glasses: Darkening Reversal and Reflection Reduction. | Mao Ye, Cha Zhang, Ruigang Yang |
| 2013 | ICIP | Multi-class action recognition based on inverted index of action states. | Lishen Pei, Mao Ye, Pei Xu, Xuezhuan Zhao, Tao Li |
| 2012 | CIKM | Exploring personal impact for group recommendation. | Xingjie Liu, Yuan Tian, Mao Ye, Wang-Chien Lee |
| 2012 | CIKM | From face-to-face gathering to social structure. | Chunyan Wang, Mao Ye, Wang-Chien Lee |
| 2012 | CIKM | On bundle configuration for viral marketing in social networks. | De-Nian Yang, Wang-Chien Lee, Nai-Hui Chia, Mao Ye, Hui-Ju Hung |
| 2012 | CVPR | Edge-preserving photometric stereo via depth fusion. | Qing Zhang, Mao Ye, Ruigang Yang, Yasuyuki Matsushita, Bennett Wilburn, Huimin Yu |
| 2012 | KDD | From user comments to on-line conversations. | Chunyan Wang, Mao Ye, Bernardo A. Huberman |
| 2012 | WWW | Collective attention and the dynamics of group deals. | Mao Ye, Thomas Sandholm, Chunyan Wang, Christina Aperjis, Bernardo A. Huberman |
| 2012 | SIGIR | Exploring social influence for recommendation: a generative model approach. | Mao Ye, Xingjie Liu, Wang-Chien Lee |
| 2011 | ICCV | Accurate 3D pose estimation from a single depth image. | Mao Ye, Xianwang Wang, Ruigang Yang, Liu Ren, Marc Pollefeys |
| 2011 | ISNN | Extracting Specific Signal from Post-nonlinear Mixture Based on Maximum Negentropy. | Dongxiao Ren, Mao Ye, Yuanxiang Zhu |
| 2011 | KDD | On the semantic annotation of places in location-based social networks. | Mao Ye, Dong Shou, Wang-Chien Lee, Peifeng Yin, Krzysztof Janowicz |
| 2011 | WWW | Location relevance classification for travelogue digests. | Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie |
| 2011 | SIGIR | On theme location discovery for travelogue services. | Mao Ye, Rong Xiao, Wang-Chien Lee, Xing Xie |
| 2011 | SIGIR | Exploiting geographical influence for collaborative point-of-interest recommendation. | Mao Ye, Peifeng Yin, Wang-Chien Lee, Dik Lun Lee |
| 2010 | COMPSAC | A Requirements Maturity Measurement Approach Based on SKLSEWiki. | Rong Peng, Qiang Ye, Mao Ye |
| 2010 | DASFAA | Untitled record | Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang-Chien Lee |
| 2010 | ICDE | Probabilistic Top-k query processing in distributed sensor networks. | Mao Ye, Xingjie Liu, Wang-Chien Lee, Dik Lun Lee |
| 2009 | CVPR | Color calibration of multi-projector displays through automatic optimization of hardware settings. | R. Matt Steele, Mao Ye, Ruigang Yang |
| 2009 | ICNC | Blind Image Extraction by Using Local Smooth Information. | Mao Ye, Yongguo Liu, Ming Liu, Fan Li, Qihe Liu |
| 2009 | MDM | Fair Delay Tolerant Mobile Data Ferrying. | Mao Ye, Xuanyan Tang, Dik Lun Lee |
| 2008 | ICNC | An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection. | Yingying Zhu, Mao Ye, Naiqi Liu, Xin Zhao, Xue Li |
| 2008 | IJCNN | A few online algorithms for extracting minor generalized eigenvectors. | Mao Ye, Yongguo Liu, Hong Wu, Qihe Liu |
| 2007 | ICPP | Towards Location-aware Topology in both Unstructured and Structured P2P Systems. | Tongqing Qiu, Guihai Chen, Mao Ye, Edward Chan, Ben Y. Zhao |
| 2007 | ISNN | Blind Separation of Positive Signals by Using Genetic Algorithm. | Mao Ye, Zengan Gao, Xue Li |
| 2006 | ICONIP | Neural Networks Based Automated Test Oracle for Software Testing. | Mao Ye, Boqin Feng, Li Zhu, Yao Lin |
| 2006 | ICONIP | Monotonic Convergence of a Nonnegative ICA Algorithm on Stiefel Manifold. | Mao Ye, Xuqian Fan, Qihe Liu |
| 2006 | ISNN | Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm. | Mao Ye, Xue Li, Chengfu Yang, Zengan Gao |
| 2006 | MASS | On mitigating hot spots for clustering mechanisms in wireless sensor networks. | Mao Ye, Edward Chan, Guihai Chen |
| 2005 | ICNC | Document Clustering Based on Nonnegative Sparse Matrix Factorization. | C. F. Yang, Mao Ye, Jing Zhao |
| 2005 | IPCCC | EECS: an energy efficient clustering scheme in wireless sensor networks. | Mao Ye, Chengfa Li, Guihai Chen, Jie Wu |
| 2005 | ISNN | Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints. | Xiaorong Pu, Zhang Yi, Ziming Zheng, Wei Zhou, Mao Ye |
| 2005 | ISNN | Robust Beamforming by a Globally Convergent MCA Neural Network. | Mao Ye |
| 2005 | MASS | An energy-efficient unequal clustering mechanism for wireless sensor networks. | Chengfa Li, Mao Ye, Guihai Chen, Jie Wu |
| 2004 | ISNN | Convergence Analysis for Oja+ MCA Learning Algorithm. | Jiancheng Lv, Mao Ye, Zhang Yi |
| 2004 | ISNN | On the Discrete Time Dynamics of the MCA Neural Networks. | Mao Ye, Zhang Yi |