Ming Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
64
Venues
33
Active years
2001–2026
Best venue rank
A*
Where they publish
- A*AAAI7 papers
- AMICCAI7 papers
- A*CVPR6 papers
- A*KDD4 papers
- A*DAC4 papers
- A*ACL3 papers
- A*ICDE2 papers
- MulticonferenceICASSP2 papers
- A*ICCV2 papers
- NationalISVC2 papers
- ARTSS2 papers
- A*INFOCOM2 papers
- ADATE1 paper
- A*WWW1 paper
- NationalTASE1 paper
- BAVSS1 paper
- A*CCS1 paper
- BCOLING1 paper
- A*ICML1 paper
- A*IJCAI1 paper
- A*ICSE1 paper
- AWACV1 paper
- A*ECCV1 paper
- BICPR1 paper
- AISSTA1 paper
- AIUI1 paper
- CSEKE1 paper
- CIGARSS1 paper
- BSIGdial1 paper
- CCIS1 paper
- CHPCC1 paper
- BGLOBECOM1 paper
- CISCAS1 paper
Papers
64 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI. | Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He |
| 2026 | AAAI | S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision. | Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu |
| 2026 | ACL | TAGS: A Test-Time Generalist-Specialist Framework with Retrieval-Augmented Reasoning and Verification. | Jianghao Wu, Feilong Tang, Yulong Li, Ming Hu, Haochen Xue, Shoaib Jameel, Zongyuan Ge, Yutong Xie, Imran Razzak |
| 2026 | ACL | SPIDE: Serial and Parallel Intertwined Speculative Decoding. | Wenru Xu, Peixuan Xu, Ziqi Yang, Ming Hu, Zihui Wang, Jianzhong Qi, Rongshan Yu, Xiaoliang Fan, Cheng Wang |
| 2026 | DATE | Enhance Language Model-based Repair for Memory-related Vulnerabilities via Knowledge-and Semantic-guided Analysis. | Hao Shen, Ming Hu, Yanxin Yang, Xiaofei Xie, Mingsong Chen |
| 2026 | ICDE | AdaFedRec: Adaptive Heterogeneous Federated Recommender Systems Across Multi-Device Users. | Zhenkai Li, Ming Hu, Chentao Jia, Yining Sun, Zhufeng Lu, Mingyang Yu, Yanxin Yang, Xiaofei Xie, Mingsong Chen |
| 2026 | KDD | Two Heads Are Better Than One: Generalized Cross-Domain Federated Learning via Dual-Prototype. | Mingsheng Cao, Tianci Chen, Ming Hu, Zhuang Qi, Yangguang Cui, Junlong Zhou, Xiaofei Xie |
| 2026 | KDD | CNText2Sign and CNSign: Unified Chinese Sign Language Datasets for Bidirectional Accessibility. | Yulong Li, Yuxuan Zhang, Feilong Tang, Ming Hu, Zhixiang Lu, Haochen Xue, Jianghao Wu, Rui Chen, Mian Zhou, Kang Dang, Chong Li, Yifang Wang, Imran Razzak, Jionglong Su |
| 2026 | WWW | Hierarchical Prompt Contrastive Learning for Weakly Supervised Histopathology Segmentation. | Zengmao Wang, Ming Hu, Chaoyang Zhou, Shiying Sun, Qingping Zheng, Leifei Zhang, Yongchao Xu, Bo Du |
| 2026 | TASE | Learn by Analogy: Distribution-Aware Fuzz Testing for DNNs via Cross-Modal Generation. | Boli Huang, Tianlin Li, Ming Hu, Ziming Zhao, MingSong Chen |
| 2025 | AAAI | Towards Realistic Semi-supervised Medical Image Classification. | Wenxue Li, Lie Ju, Feilong Tang, Peng Xia, Xinyu Xiong, Ming Hu, Lei Zhu, Zongyuan Ge |
| 2025 | AAAI | Neighbor Does Matter: Density-Aware Contrastive Learning for Medical Semi-supervised Segmentation. | Feilong Tang, Zhongxing Xu, Ming Hu, Wenxue Li, Peng Xia, Yiheng Zhong, Hanjun Wu, Jionglong Su, Zongyuan Ge |
| 2025 | AAAI | MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay. | Zeke Xia, Ming Hu, Dengke Yan, Ruixuan Liu, Anran Li, Xiaofei Xie, Mingsong Chen |
| 2025 | ACL | MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation. | Haochen Xue, Feilong Tang, Ming Hu, Yexin Liu, Qidong Huang, Yulong Li, Chengzhi Liu, Zhongxing Xu, Chong Zhang, Chun-Mei Feng, Yutong Xie, Imran Razzak, Zongyuan Ge, Jionglong Su, Junjun He, Yu Qiao |
| 2025 | AVSS | Decoding the Flow: CauseMotion for Emotional Causality Analysis in Long-form Conversations. | Yuxuan Zhang, Yulong Li, Feilong Tang, Zichen Yu, Ming Hu, Zhixiang Lu, Haochen Xue, Zhaodong Wu, Kang Dang, Imran Razzak, Jionglong Su |
| 2025 | CCS | FilterFL: Knowledge Filtering-based Data-Free Backdoor Defense for Federated Learning. | Yanxin Yang, Ming Hu, Xiaofei Xie, Yue Cao, Pengyu Zhang, Yihao Huang, Mingsong Chen |
| 2025 | COLING | HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding. | Peng Xia, Xingtong Yu, Ming Hu, Lie Ju, Zhiyong Wang, Peibo Duan, Zongyuan Ge |
| 2025 | CVPR | SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding. | Ying Chen, Guoan Wang, Yuanfeng Ji, Yanjun Li, Jin Ye, Tianbin Li, Ming Hu, Rongshan Yu, Yu Qiao, Junjun He |
| 2025 | CVPR | beta-FFT: Nonlinear Interpolation and Differentiated Training Strategies for Semi-Supervised Medical Image Segmentation. | Ming Hu, Jianfu Yin, Zhuangzhuang Ma, Jianheng Ma, Feiyu Zhu, Bingbing Wu, Ya Wen, Meng Wu, Cong Hu, Bingliang Hu, Quan Wang |
| 2025 | CVPR | Towards Visual Discrimination and Reasoning of Real-World Physical Dynamics: Physics-Grounded Anomaly Detection. | Wenqiao Li, Yao Gu, Xintao Chen, Xiaohao Xu, Ming Hu, Xiaonan Huang, Yingna Wu |
| 2025 | CVPR | Star with Bilinear Mapping. | Zelin Peng, Yu Huang, Zhengqin Xu, Feilong Tang, Ming Hu, Xiaokang Yang, Wei Shen |
| 2025 | CVPR | Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding. | Feilong Tang, Chengzhi Liu, Zhongxing Xu, Ming Hu, Zile Huang, Haochen Xue, Ziyang Chen, Zelin Peng, Zhiwei Yang, Sijin Zhou, Wenxue Li, Yulong Li, Wenxuan Song, Shiyan Su, Wei Feng, Jionglong Su, Mingquan Lin, Yifan Peng, Xuelian Cheng, Imran Razzak, Zongyuan Ge |
| 2025 | DAC | MMDFL: Multi-Model-based Decentralized Federated Learning for Resource-Constrained AIoT Systems. | Dengke Yan, Yanxin Yang, Ming Hu, Xin Fu, Mingsong Chen |
| 2025 | ICASSP | CE-FFT: Communication-Efficient Federated Fine-Tuning for Large Language Models via Quantization and In-Context Learning. | Pengyu Zhang, Yingjie Liu, Yingbo Zhou, Ming Hu, Xian Wei, Mingsong Chen |
| 2025 | ICCV | OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining. | Ming Hu, Kun Yuan, Yaling Shen, Feilong Tang, Xiaohao Xu, Lin Zhou, Wei Li, Ying Chen, Zhongxing Xu, Zelin Peng, Siyuan Yan, Vinkle Srivastav, Diping Song, Tianbin Li, Danli Shi, Jin Ye, Nicolas Padoy, Nassir Navab, Junjun He, Zongyuan Ge |
| 2025 | ICCV | Derm1M: A Million-Scale Vision-Language Dataset Aligned with Clinical Ontology Knowledge for Dermatology. | Siyuan Yan, Ming Hu, Yiwen Jiang, Xieji Li, Hao Fei, Philipp Tschandl, Harald Kittler, Zongyuan Ge |
| 2025 | ICML | One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory. | Yuhang Li, Tong Liu, Yangguang Cui, Ming Hu, Xiaoqiang Li |
| 2025 | IJCAI | DONIS: Importance Sampling for Training Physics-Informed DeepONet. | Shudong Huang, Rui Huang, Ming Hu, Wentao Feng, Jiancheng Lv |
| 2025 | ICSE | Intention is All you Need: Refining your Code from your Intention. | Qi Guo, Xiaofei Xie, Shangqing Liu, Ming Hu, Xiaohong Li, Lei Bu |
| 2025 | ISVC | Leveraging Multimodal LLMs for Building Condition Assessment from Street-View Imagery. | Siyuan Yao, Siavash Ghorbany, Meghan Forstchen, Alexis Korotasz, Matthew L. Sisk, Ming Hu, Chaoli Wang |
| 2025 | KDD | Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing. | Zhufeng Lu, Chentao Jia, Ming Hu, Xiaofei Xie, Mingsong Chen |
| 2025 | MICCAI | Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model. | Wei Li, Ming Hu, Guoan Wang, Lihao Liu, Kaijing Zhou, Junzhi Ning, Xin Guo, Zongyuan Ge, Lixu Gu, Junjun He |
| 2025 | MICCAI | RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions. | Junzhi Ning, Cheng Tang, Kaijing Zhou, Diping Song, Lihao Liu, Ming Hu, Wei Li, Huihui Xu, Yanzhou Su, Tianbin Li, Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He |
| 2025 | MICCAI | Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation. | Xinkun Wang, Yifang Wang, Senwei Liang, Feilong Tang, Chengzhi Liu, Ming Hu, Chao Hu, Junjun He, Zongyuan Ge, Imran Razzak |
| 2025 | MICCAI | MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset. | Zhaodong Wu, Qiaochu Zhao, Ming Hu, Yulong Li, Haochen Xue, Zhengyong Jiang, Angelos Stefanidis, Qiufeng Wang, Imran Razzak, Zongyuan Ge, Junjun He, Yu Qiao, Zhong Zheng, Feilong Tang, Kang Dang, Jionglong Su |
| 2025 | MICCAI | Temporal Model-Based Federated Active Medical Image Classification. | Yunlu Yan, Chun-Mei Feng, Yuexiang Li, Jinheng Xie, Jun Chen, Mohamed Elhoseiny, Ming Hu, Kaishun Wu, Lei Zhu |
| 2025 | MICCAI | MAKE: Multi-Aspect Knowledge-Enhanced Vision-Language Pretraining for Zero-Shot Dermatological Assessment. | Siyuan Yan, Xieji Li, Ming Hu, Yiwen Jiang, Zhen Yu, Zongyuan Ge |
| 2025 | WACV | Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images. | Jun Chen, Faizan Farooq Khan, Ming Hu, Ammar Sherif, Zongyuan Ge, Boyang Li, Mohamed Elhoseiny |
| 2024 | AAAI | Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models. | Yihao Huang, Felix Juefei-Xu, Qing Guo, Jie Zhang, Yutong Wu, Ming Hu, Tianlin Li, Geguang Pu, Yang Liu |
| 2024 | AAAI | FedMut: Generalized Federated Learning via Stochastic Mutation. | Ming Hu, Yue Cao, Anran Li, Zhiming Li, Chengwei Liu, Tianlin Li, Mingsong Chen, Yang Liu |
| 2024 | DAC | AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. | Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen |
| 2024 | ECCV | OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding. | Ming Hu, Peng Xia, Lin Wang, Siyuan Yan, Feilong Tang, Zhongxing Xu, Yimin Luo, Kaimin Song, Jrgen Leitner, Xuelian Cheng, Jun Cheng, Chi Liu, Kaijing Zhou, Zongyuan Ge |
| 2024 | ICASSP | Architecture-Agnostic Iterative Black-Box Certified Defense Against Adversarial Patches. | Di Yang, Yihao Huang, Qing Guo, Felix Juefei-Xu, Ming Hu, Yang Liu, Geguang Pu |
| 2024 | ICDE | FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation. | Ming Hu, Peiheng Zhou, Zhihao Yue, Zhiwei Ling, Yihao Huang, Anran Li, Yang Liu, Xiang Lian, Mingsong Chen |
| 2024 | ICPR | SpecSlice-ConvLSTM:Medical Hyperspectral Image Segmentation Using Spectral Slicing and ConvLSTM. | Ming Hu, Jianfu Yin, Jing Wang, Yuqi Wang, Bingliang Hu, Quan Wang |
| 2024 | ISSTA | DeFort: Automatic Detection and Analysis of Price Manipulation Attacks in DeFi Applications. | Maoyi Xie, Ming Hu, Ziqiao Kong, Cen Zhang, Yebo Feng, Haijun Wang, Yue Xue, Hao Zhang, Ye Liu, Yang Liu |
| 2024 | ISVC | Leveraging Zero-Shot Learning on Street-View Imagery for Built Environment Variable Analysis. | Siyuan Yao, Siavash Ghorbany, Matthew L. Sisk, Ming Hu, Chaoli Wang |
| 2024 | IUI | SoK: An Exhaustive Taxonomy of Display Issues for Mobile Applications. | Liming Nie, Kabir Sulaiman Said, Ming Hu |
| 2024 | KDD | Is Aggregation the Only Choice? Federated Learning via Layer-wise Model Recombination. | Ming Hu, Zhihao Yue, Xiaofei Xie, Cheng Chen, Yihao Huang, Xian Wei, Xiang Lian, Yang Liu, Mingsong Chen |
| 2024 | MICCAI | Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations. | Peng Xia, Ming Hu, Feilong Tang, Wenxue Li, Wenhao Zheng, Lie Ju, Peibo Duan, Huaxiu Yao, Zongyuan Ge |
| 2024 | SEKE | FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation. | Jiawen Weng, Zeke Xia, Ran Li, Ming Hu, Mingsong Chen |
| 2023 | CVPR | MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding. | Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara Beery, Anna Rohrbach, Mohamed Elhoseiny |
| 2023 | RTSS | GitFL: Uncertainty-Aware Real-Time Asynchronous Federated Learning Using Version Control. | Ming Hu, Zeke Xia, Dengke Yan, Zhihao Yue, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen |
| 2022 | DAC | Accelerated synthesis of neural network-based barrier certificates using collaborative learning. | Jun Xia, Ming Hu, Xin Chen, Mingsong Chen |
| 2021 | RTSS | Enumeration and Deduction Driven Co-Synthesis of CCSL Specifications using Reinforcement Learning. | Ming Hu, Jiepin Ding, Min Zhang, Frdric Mallet, Mingsong Chen |
| 2019 | DAC | Sample-Guided Automated Synthesis for CCSL Specifications. | Ming Hu, Tongquan Wei, Min Zhang, Frdric Mallet, Mingsong Chen |
| 2019 | IGARSS | Topography and Illumination Conditions of Chang'E-4 Landing Area. | Xiaohua Tong, Shijie Liu, Hao Chen, Ming Hu, Qian Huang, Fan He, Yaqiong Wang |
| 2018 | SIGdial | A Bilingual Interactive Human Avatar Dialogue System. | Dana Abu Ali, Muaz Ahmad, Hayat Al Hassan, Paula Dozsa, Ming Hu, Jose Varias, Nizar Habash |
| 2009 | CIS | Timing Evaluation of the Known Cryptographic Algorithms. | Yan Wang, Ming Hu |
| 2008 | HPCC | RAID5x-Based Storage Complexity Analysis. | Ming Hu, Minghua Jiang |
| 2004 | INFOCOM | Traffic Aided Opportunistic Scheduling for Downlink Transmissions: Algorithms and Performance Bounds. | Ming Hu, Junshan Zhang, John Sadowsky |
| 2003 | GLOBECOM | Size-aided opportunistic scheduling in wireless networks. | Ming Hu, Junshan Zhang, John Sadowsky |
| 2002 | INFOCOM | Bursty Data Over CDMA: MAI Self Similarity, Rate Control and Admission Control. | Junshan Zhang, Ming Hu, Ness B. Shroff |
| 2001 | ISCAS | One- and two-dimensional order statistic filter design with FPGAs. | Ming Hu, David Z. Gevorkian, Olli Vainio |