Ming Tang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
113
Venues
38
Active years
1998–2026
Best venue rank
A*
Where they publish
- A*CVPR13 papers
- A*ECCV13 papers
- A*AAAI8 papers
- A*INFOCOM7 papers
- A*ICCV6 papers
- MulticonferenceICASSP5 papers
- A*ACL4 papers
- AIROS4 papers
- BWiOpt4 papers
- BACCV4 papers
- BGLOBECOM4 papers
- BICPR4 papers
- BICIP4 papers
- A*IJCAI3 papers
- CICICS2 papers
- A*ICLR2 papers
- NationalHCI2 papers
- A*HPCA2 papers
- AICDCS2 papers
- NationalNSDI2 papers
- AAsiaCCS1 paper
- A*DAC1 paper
- A*ICDM1 paper
- BIJCNN1 paper
- A*ICRA1 paper
- A*KDD1 paper
- AWSDM1 paper
- ADATE1 paper
- A*EMNLP1 paper
- AWACV1 paper
- A*SIGCOMM1 paper
- NationalCISS1 paper
- CUIC1 paper
- A*SIGGRAPH1 paper
- BCCGRID1 paper
- BEuroPar1 paper
- NationalICIG1 paper
- NationalPDPTA1 paper
Papers
113 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection. | Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Wei Ge, Ming Tang, Jinqiao Wang |
| 2026 | AAAI | Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection. | Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2026 | AAAI | Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping. | Tao Yu, Yongqi An, Kuan Zhu, Guibo Zhu, Ming Tang, Jinqiao Wang |
| 2026 | AAAI | GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models. | Shurong Zheng, Yousong Zhu, Hongyin Zhao, Fan Yang, Yufei Zhan, Ming Tang, Jinqiao Wang |
| 2026 | ACL | DiffuSpec: Unlocking Diffusion Language Models for Speculative Decoding. | Guanghao Li, Zhihui Fu, Min Fang, Qibin Zhao, Ming Tang, Chun Yuan, Jun Wang |
| 2026 | ACL | Efficient Transformer Parameter Reuse via Zero-Token Mechanism. | Guanghao Li, Wenhao Jiang, Li Shen, Ming Tang, Chun Yuan |
| 2026 | INFOCOM | ZorBA: Zeroth-order Federated Fine-tuning of LLMs with Heterogeneous Block Activation. | Chuiyang Meng, Ming Tang, Vincent W. S. Wong |
| 2026 | INFOCOM | Decoupled Split Learning via Auxiliary Loss. | Anower Zihad, Felix Owino, Ming Tang, Chao Huang |
| 2025 | ACL | Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. | Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang |
| 2025 | ACL | One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models. | Rongguang Ye, Ming Tang |
| 2025 | AsiaCCS | BranchGauge: Modeling and Quantifying Side-Channel Leakage in Randomization-Based Secure Branch Predictors. | Quancheng Wang, Ming Tang, Ke Xu, Han Wang |
| 2025 | CVPR | UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection. | Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2025 | CVPR | PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability. | Weijie Zhou, Manli Tao, Chaoyang Zhao, Haiyun Guo, Honghui Dong, Ming Tang, Jinqiao Wang |
| 2025 | DAC | ZenLeak: Practical Last-Level Cache Side-Channel Attacks on AMD Zen Processors. | Han Wang, Ming Tang, Quancheng Wang, Ke Xu, Yinqian Zhang |
| 2025 | ICASSP | Extracting Sparse Specialist Models from Generalist Models. | Tao Yu, Xu Zhao, Yongqi An, Guibo Zhu, Ming Tang, Jinqiao Wang |
| 2025 | ICCV | Vpr-Cloak: a First Look at Privacy Cloak Against Visual Place Recognition. | Shuting Dong, Mingzhi Chen, Feng Lu, Hao Yu, Guanghao Li, Zhe Wu, Ming Tang, Chun Yuan |
| 2025 | ICCV | MUG: Pseudo Labeling Augmented Audio-Visual Mamba Network for Audio-Visual Video Parsing. | Langyu Wang, Bingke Zhu, Yingying Chen, Yiyuan Zhang, Ming Tang, Jinqiao Wang |
| 2025 | ICCV | Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring. | Yufei Zhan, Shurong Zheng, Yousong Zhu, Hongyin Zhao, Fan Yang, Ming Tang, Jinqiao Wang |
| 2025 | ICDM | Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems. | Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao |
| 2025 | ICICS | New First-Order Secure AES Implementation Without Online Fresh Randomness Records. | Botao Liu, Ming Tang |
| 2025 | ICLR | Systematic Outliers in Large Language Models. | Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang |
| 2025 | ICLR | Hessian-Free Online Certified Unlearning. | Xinbao Qiao, Meng Zhang, Ming Tang, Ermin Wei |
| 2025 | IJCAI | Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning. | Rongguang Ye, Ming Tang |
| 2025 | IJCAI | FLARE: A Framework for Stellar Flare Forecasting Using Stellar Physical Properties and Historical Records. | Bingke Zhu, Xiaoxiao Wang, Minghui Jia, Yihan Tao, Xiao Kong, Ali Luo, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2025 | IJCNN | Twice the Gradient, Twice the Privacy Risk in Federated Learning? A Case Study of Federated Recommendation Systems. | Zhenyu Deng, Ying Liu, Ming Tang, Xiangyu Zhao |
| 2025 | ICRA | Label Anything: An Interpretable, High-Fidelity and Prompt-Free Annotator. | Wei-Bin Kou, Guangxu Zhu, Rongguang Ye, Shuai Wang, Ming Tang, Yik-Chung Wu |
| 2025 | IROS | Enhancing Large Vision Model in Street Scene Semantic Understanding through Leveraging Posterior Optimization Trajectory. | Wei-Bin Kou, Qingfeng Lin, Ming Tang, Jingreng Lei, Shuai Wang, Rongguang Ye, Guangxu Zhu, Yik-Chung Wu |
| 2025 | IROS | FedEMA: Federated Exponential Moving Averaging with Negative Entropy Regularizer in Autonomous Driving. | Wei-Bin Kou, Guangxu Zhu, Bingyang Cheng, Shuai Wang, Ming Tang, Yik-Chung Wu |
| 2025 | IROS | LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning. | Weijie Zhou, Manli Tao, Chaoyang Zhao, Honghui Dong, Ming Tang, Jinqiao Wang |
| 2025 | KDD | PraFFL: A Preference-Aware Scheme in Fair Federated Learning. | Rongguang Ye, Wei-Bin Kou, Ming Tang |
| 2025 | WSDM | A Systematic Evaluation of Single-Cell Foundation Models on Cell-Type Classification Task. | Nicolas Steiner, Ziteng Li, Omid Vosoughi, Johanna Schrader, Soumyadeep Roy, Wolfgang Nejdl, Ming Tang |
| 2025 | WiOpt | CoCoI: Distributed Coded Inference System for Straggler Mitigation. | Xing Liu, Chao Huang, Ming Tang |
| 2025 | WiOpt | Spectral Co-Clustering Based Wireless Network Decomposition for Resource Scheduling. | Yiyu Liu, Yilin Xiao, Ming Tang, Lin Gao, Jianwei Huang |
| 2024 | AAAI | Fluctuation-Based Adaptive Structured Pruning for Large Language Models. | Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang |
| 2024 | AAAI | AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models. | Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2024 | AAAI | Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing. | Lyudong Jin, Ming Tang, Meng Zhang, Hao Wang |
| 2024 | ACCV | Knowledge Distillation Dealing with Sample-Wise Long-Tail Problem. | Tao Yu, Xu Zhao, Yongqi An, Ming Tang, Jinqiao Wang |
| 2024 | CVPR | Self-Supervised Representation Learning from Arbitrary Scenarios. | Zhaowen Li, Yousong Zhu, Zhiyang Chen, Zongxin Gao, Rui Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang |
| 2024 | DATE | Cache Bandwidth Contention Leaks Secrets. | Han Wang, Ming Tang, Ke Xu, Quancheng Wang |
| 2024 | ECCV | The BRAVO Semantic Segmentation Challenge Results in UNCV2024. | Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Toms Vojr, Jan Sochman, Jir Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool |
| 2024 | ECCV | Griffon: Spelling Out All Object Locations at Any Granularity with Large Language Models. | Yufei Zhan, Yousong Zhu, Zhiyang Chen, Fan Yang, Ming Tang, Jinqiao Wang |
| 2024 | EMNLP | SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models. | Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang |
| 2024 | HCI | SpaceXR: Virtual Reality and Data Mining for Astronomical Visualization. | Mikhail Nikolaenko, Ming Tang |
| 2024 | HPCA | Modeling, Derivation, and Automated Analysis of Branch Predictor Security Vulnerabilities. | Quancheng Wang, Ming Tang, Ke Xu, Han Wang |
| 2024 | HPCA | Exploitation of Security Vulnerability on Retirement. | Ke Xu, Ming Tang, Quancheng Wang, Han Wang |
| 2024 | ICASSP | The Devil is in Details: Delving Into Lite FFN Design for Vision Transformers. | Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Chaoyang Zhao, Jinqiao Wang, Ming Tang |
| 2024 | ICASSP | BFRFormer: Transformer-Based Generator for Real-World Blind Face Restoration. | Guojing Ge, Qi Song, Guibo Zhu, Yuting Zhang, Jinglu Chen, Miao Xin, Ming Tang, Jinqiao Wang |
| 2024 | ICASSP | General Speech Restoration Using Two-Stage Generative Adversarial Networks. | Qinwen Hu, Tianyi Tan, Ming Tang, Yuxiang Hu, Changbao Zhu, Jing Lu |
| 2024 | ICDCS | Tackling System-Induced Bias in Federated Learning: A Pricing-Based Incentive Mechanism. | Shuo Wang, Bing Luo, Ming Tang |
| 2024 | ICDCS | Non-Linear Coded Computation for Distributed CNN Inference: A Learning-based Approach. | Haoyu Wang, Yiyu Liu, Chunhui Xu, Xing Liu, Ming Tang |
| 2024 | INFOCOM | Self-Interested Load Announcement by Edge Servers: Overreport or Underreport? | Chen Huang, Zhiyuan Wang, Ming Tang |
| 2024 | IROS | FedRC: A Rapid-Converged Hierarchical Federated Learning Framework in Street Scene Semantic Understanding. | Wei-Bin Kou, Qingfeng Lin, Ming Tang, Shuai Wang, Guangxu Zhu, Yik-Chung Wu |
| 2024 | NSDI | Sirius: Composing Network Function Chains into P4-Capable Edge Gateways. | Jiaqi Gao, Jiamin Cao, Yifan Li, Mengqi Liu, Ming Tang, Dennis Cai, Ennan Zhai |
| 2023 | CVPR | ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection. | Yongqi An, Xu Zhao, Tao Yu, Haiyun Gu, Chaoyang Zhao, Ming Tang, Jinqiao Wang |
| 2023 | GLOBECOM | Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach. | Yanqing Lu, Meng Zhang, Ming Tang |
| 2023 | GLOBECOM | GNN-Based Neighbor Selection and Resource Allocation for Decentralized Federated Learning. | Chuiyang Meng, Ming Tang, Mehdi Setayesh, Vincent W. S. Wong |
| 2023 | GLOBECOM | Price of Stability in Quality-Aware Federated Learning. | Yizhou Yan, Xinyu Tang, Chao Huang, Ming Tang |
| 2023 | INFOCOM | Tackling System Induced Bias in Federated Learning: Stratification and Convergence Analysis. | Ming Tang, Vincent W. S. Wong |
| 2023 | NSDI | Norma: Towards Practical Network Load Testing. | Yanqing Chen, Bingchuan Tian, Chen Tian, Li Dai, Yu Zhou, Mengjing Ma, Ming Tang, Hao Zheng, Zhewen Yang, Guihai Chen, Dennis Cai, Ennan Zhai |
| 2023 | WiOpt | Multi-objective Deep Reinforcement Learning for Mobile Edge Computing. | Ning Yang, Junrui Wen, Meng Zhang, Ming Tang |
| 2022 | CVPR | UniVIP: A Unified Framework for Self-Supervised Visual Pre-training. | Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang |
| 2022 | CVPR | C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection. | Tong Wang, Yousong Zhu, Yingying Chen, Chaoyang Zhao, Bin Yu, Jinqiao Wang, Ming Tang |
| 2022 | ECCV | Regularizing Vector Embedding in Bottom-Up Human Pose Estimation. | Haixin Wang, Lu Zhou, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2022 | ECCV | PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification. | Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang |
| 2022 | HCI | Human and Machine Symbiosis - An Experiment of Human and Robot Co-creation of Calligraphy-Style Drawing. | Ming Tang |
| 2021 | CVPR | Adaptive Class Suppression Loss for Long-Tail Object Detection. | Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang |
| 2021 | CVPR | Improving Multiple Object Tracking With Single Object Tracking. | Linyu Zheng, Ming Tang, Yingying Chen, Guibo Zhu, Jinqiao Wang, Hanqing Lu |
| 2021 | ICCV | High-Performance Discriminative Tracking with Transformers. | Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hao Feng, Xuetao Feng, Hanqing Lu |
| 2021 | INFOCOM | An Incentive Mechanism for Cross-Silo Federated Learning: A Public Goods Perspective. | Ming Tang, Vincent W. S. Wong |
| 2021 | WACV | Fast Kernelized Correlation Filter without Boundary Effect. | Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang |
| 2021 | SIGCOMM | Aquila: a practically usable verification system for production-scale programmable data planes. | Bingchuan Tian, Jiaqi Gao, Mengqi Liu, Ennan Zhai, Yanqing Chen, Yu Zhou, Li Dai, Feng Yan, Mengjing Ma, Ming Tang, Jie Lu, Xionglie Wei, Hongqiang Harry Liu, Ming Zhang, Chen Tian, Minlan Yu |
| 2020 | CVPR | Part-Aware Context Network for Human Parsing. | Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang |
| 2020 | ECCV | Large Batch Optimization for Object Detection: Training COCO in 12 minutes. | Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang |
| 2020 | ECCV | Adaptive Variance Based Label Distribution Learning for Facial Age Estimation. | Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang |
| 2020 | ECCV | Blended Grammar Network for Human Parsing. | Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang |
| 2020 | ECCV | Learning Feature Embeddings for Discriminant Model Based Tracking. | Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu |
| 2020 | ECCV | Identity-Guided Human Semantic Parsing for Person Re-identification. | Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang |
| 2020 | ICPR | Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-similarity Clustering. | Tianyi Yan, Haiyun Guo, Songyan Liu, Chaoyang Zhao, Ming Tang, Jinqiao Wang |
| 2019 | CVPR | Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection. | Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang |
| 2019 | ICCV | Fast-deepKCF Without Boundary Effect. | Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu |
| 2019 | ICICS | Practical Evaluation Methodology of Higher-Order Maskings at Different Operating Frequencies. | Yuguang Li, Ming Tang, Pengbo Wang, Yanbin Li, Shan Fu |
| 2019 | INFOCOM | How to Earn Money in Live Streaming Platforms? - A Study of Donation-Based Markets. | Ming Tang, Jianwei Huang |
| 2018 | AAAI | Progressive Cognitive Human Parsing. | Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang |
| 2018 | CVPR | High-Speed Tracking With Multi-Kernel Correlation Filters. | Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang |
| 2018 | ECCV | The Sixth Visual Object Tracking VOT2018 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Toms Vojr, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernndez, lvaro Garca-Martn, lvaro Iglesias-Arias, A. Aydin Alatan, Abel Gonzlez-Garca, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, Joo F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodrguez Herranz, Jos M. Martnez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He |
| 2018 | ICIP | Dense Chained Attention Network for Scene Text Recognition. | Yunze Gao, Yingying Chen, Jinqiao Wang, Ming Tang, Hanqing Lu |
| 2018 | ICIP | Tree Hierarchical CNNs for Object Parsing. | Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang, Hanqing Lu |
| 2018 | IJCAI | Learning Robust Gaussian Process Regression for Visual Tracking. | Linyu Zheng, Ming Tang, Jinqiao Wang |
| 2017 | GLOBECOM | A General Framework for Crowdsourcing Mobile Communication, Computation, and Caching. | Ming Tang, Lin Gao, Jianwei Huang |
| 2017 | INFOCOM | MOMD: A multi-object multi-dimensional auction for crowdsourced mobile video streaming. | Ming Tang, Shou Wang, Lin Gao, Jianwei Huang, Lifeng Sun |
| 2016 | CISS | Performance bound analysis for crowdsourced mobile video streaming. | Lin Gao, Ming Tang, Haitian Pang, Jianwei Huang, Lifeng Sun |
| 2016 | ECCV | The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. | Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Hger, Amanda Berg, Abdelrahman Eldesokey, Jrgen Ahlberg, Luka Cehovin, Toms Vojr, Alan Lukezic, Gustavo Fernndez, Alfredo Petrosino, lvaro Garca-Martn, Andrs Sols Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, Jos M. Martnez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganire, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hbner, Xin Li, Yang Li, Zhan Xu, Zhenyu He |
| 2016 | ECCV | The Visual Object Tracking VOT2016 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Toms Vojr, Gustav Hger, Alan Lukezic, Gustavo Fernndez, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, lvaro Garca-Martn, Andrs Sols Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martnez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, Joo F. Henriques, Jochen Lang, Jongwon Choi, Jos M. Martnez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganire, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hbner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi |
| 2016 | WiOpt | A multi-dimensional auction mechanism for mobile crowdsourced video streaming. | Ming Tang, Lin Gao, Haitian Pang, Jianwei Huang, Lifeng Sun |
| 2015 | ICCV | Multi-kernel Correlation Filter for Visual Tracking. | Ming Tang, Jiayi Feng |
| 2015 | UIC | Identify Influential Spreaders in Complex Real-World Networks. | Ying Liu, Ming Tang, Jing Yue, Jie Gong |
| 2014 | ACCV | Robust Maximum Margin Correlation Tracking. | Han Wang, Yancheng Bai, Ming Tang |
| 2012 | CVPR | Robust tracking via weakly supervised ranking SVM. | Yancheng Bai, Ming Tang |
| 2011 | ICIP | Robust visual tracking via ranking SVM. | Yancheng Bai, Ming Tang |
| 2010 | ACCV | Robust Tracking with Discriminative Ranking Lists. | Ming Tang, Xi Peng, Duowen Chen |
| 2009 | ACCV | Combining Discriminative and Descriptive Models for Tracking. | Jing Zhang, Duowen Chen, Ming Tang |
| 2009 | ICASSP | Random patch based video tracking via boosting the relative spaces. | Duowen Chen, Jing Zhang, Ming Tang |
| 2009 | SIGGRAPH | City generator: GIS driven genetic evolution in urban simulation. | Ming Tang |
| 2006 | CCGRID | Analysis of Jobs in a Multi-Organizational Grid Test-bed. | Bu-Sung Lee, Ming Tang, Junwei Zhang, Yew-Soon Ong, Cindy Zheng, Peter W. Arzberger, David Abramson |
| 2006 | ECCV | Accelerated Convergence Using Dynamic Mean Shift. | Kai Zhang, James T. Kwok, Ming Tang |
| 2005 | CVPR | Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. | Kai Zhang, Ming Tang, James T. Kwok |
| 2005 | EuroPar | Combining Data Replication Algorithms and Job Scheduling Heuristics in the Data Grid. | Ming Tang, Bu-Sung Lee, Xueyan Tang, Chai Kiat Yeo |
| 2005 | ICIP | A novel registration method for SAR and SPOT images. | Lixia Shu, Tieniu Tan, Ming Tang, Chunhong Pan |
| 2004 | ICIG | Detection of circular oil tanks based on the fusion of SAR and optical images. | Yanqing Wang, Ming Tang, Tieniu Tan, Xianqing Tai |
| 2003 | PDPTA | The Performances of Replica Placement Algorithms on the Network. | Bu-Sung Lee, Ming Tang |
| 2000 | ICPR | Semantically Homogeneous Segmentation with Nonparametric Region Competition. | Ming Tang, Jing Xiao, Songde Ma |
| 2000 | ICPR | Two-Step Classification Based on Scale Space. | Ming Tang, Jing Xiao, Songde Ma |
| 1998 | ICPR | Direct triangle extraction by a randomized Hough technique. | Zhanyi Hu, Ming Tang, Hung-Tat Tsui |