| 2025 | AAAI | MM-Tracker: Motion Mamba for UAV-platform Multiple Object Tracking. | Mufeng Yao, Jinlong Peng, Qingdong He, Bo Peng, Hao Chen, Mingmin Chi, Chao Liu, Jn Atli Benediktsson |
| 2025 | CVPR | Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation. | Ying Jin, Jinlong Peng, Qingdong He, Teng Hu, Jiafu Wu, Hao Chen, Haoxuan Wang, Wenbing Zhu, Mingmin Chi, Jun Liu, Yabiao Wang |
| 2025 | CVPR | OSV: One Step is Enough for High-Quality Image to Video Generation. | Xiaofeng Mao, Zhengkai Jiang, Fu-Yun Wang, Jiangning Zhang, Hao Chen, Mingmin Chi, Yabiao Wang, Wenhan Luo |
| 2025 | CVPR | Real-IAD D3: A Real-World 2D/Pseudo-3D/3D Dataset for Industrial Anomaly Detection. | Wenbing Zhu, Lidong Wang, Ziqing Zhou, Chengjie Wang, Yurui Pan, Ruoyi Zhang, Zhuhao Chen, Linjie Cheng, Bin-Bin Gao, Jiangning Zhang, Zhenye Gan, Yuxie Wang, Yulong Chen, Shuguang Qian, Mingmin Chi, Bo Peng, Lizhuang Ma |
| 2025 | ICASSP | Mamba-YOLO-World: Marrying YOLO-World with Mamba for Open-Vocabulary Detection. | Haoxuan Wang, Qingdong He, Jinlong Peng, Hao Yang, Mingmin Chi, Yabiao Wang |
| 2025 | ICASSP | MambaRF: A Bi-directional Mamba Structure for Radio Frequency Signal Classification of Unmanned Aerial Vehicle. | Mufeng Yao, Chao Liu, Lexu Xie, Mingmin Chi |
| 2025 | ICCV | Unicombine: Unified Multi-Conditional Combination with Diffusion Transformer. | Haoxuan Wang, Jinlong Peng, Qingdong He, Hao Yang, Ying Jin, Jiafu Wu, Xiaobin Hu, Yanjie Pan, Zhenye Gan, Mingmin Chi, Bo Peng, Yabiao Wang |
| 2024 | AAAI | Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability. | Dong Wu, Mingmin Chi, Xuan Zang, Bo Peng |
| 2024 | ECCV | Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection. | Liren He, Zhengkai Jiang, Jinlong Peng, Wenbing Zhu, Liang Liu, Qiangang Du, Xiaobin Hu, Mingmin Chi, Yabiao Wang, Chengjie Wang |
| 2024 | ICASSP | TransAVS: End-to-End Audio-Visual Segmentation with Transformer. | Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang |
| 2024 | ICASSP | Learning Hybrid Negative Probability Model for Weakly-Supervised Whole Slide Image Recognition. | Yining Qiu, Yuxi Li, Jiafu Wu, Zhenye Gan, Mingmin Chi, Yabiao Wang, Chengjie Wang, Pei Wang |
| 2024 | ICASSP | Search for Gravitational Wave Probes - A Self-Supervised Learning for Pulsars Based on Signal Contexts. | Shen Wang, Xiaofeng Cheng, Ming Xie, Yuhang Ling, Chao Liu, Mingmin Chi, Pei Wang, Zhongyi Sun, Yabiao Wang |
| 2023 | ICASSP | Hierarchical Multi-Task Learning for Fabric Component Analysis Based on NIR Spectral Signals. | Joseph Kim, Dong Wu, Mingmin Chi, Gaoqi Xu |
| 2023 | ICASSP | A Method of Constructing and Automatically Labeling Radio Frequency Signal Training Dataset for UAV. | Chao Liu, Ruipeng Ma, Zheng Si, Mingmin Chi |
| 2023 | ICASSP | A Multi-Signal Perception Network for Textile Composition Identification. | Bo Peng, Liren He, Dong Wu, Mingmin Chi, Jintao Chen |
| 2023 | ICASSP | Bipartite Graph Convolutional Networks with Adversarial Domain Transfer. | Dong Wu, Bin Liang, Xiangjun Liu, Xuan Zang, Mingmin Chi |
| 2023 | IJCAI | Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection. | Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu |
| 2022 | CVPR | Learning Distinctive Margin toward Active Domain Adaptation. | Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang |
| 2022 | ICASSP | Hierarchical Signal Fusion Network for Pulsar Detection with Phase-Correlation and Signal Attentions. | Huajian Wu, Mingmin Chi |
| 2019 | ICCV | Relation Parsing Neural Network for Human-Object Interaction Detection. | Penghao Zhou, Mingmin Chi |
| 2018 | DASFAA | Modeling and Evaluating MID1 ICAL Pipeline on Spark. | Zhongsheng Li, Qiuhong Li, Yimin Liu, Wei Wang, Fengbin Qi, Mingmin Chi, Yitong Wang |
| 2018 | IGARSS | Classification of High Resolution Urban Remote Sensing Images Using Deep Networks by Integration of Social Media Photos. | Yiqing Qin, Mingmin Chi, Xuan Liu, Yunfeng Zhang, Yijian Zeng, Zhiming Zhao |
| 2018 | IGARSS | Classifying High Resolution Remote Sensing Images by Fine-Tuned VGG Deep Networks. | Xuan Liu, Mingmin Chi, Yunfeng Zhang, Yiqing Qin |
| 2017 | ICONIP | Hierarchical Parameter Sharing in Recursive Neural Networks with Long Short-Term Memory. | Fengyu Li, Mingmin Chi, Dong Wu, Junyu Niu |
| 2016 | IGARSS | Computational Efficiency Active Learning for classification of hyperspectral images. | Zhongyi Sun, Mingmin Chi, Jn Atli Benediktsson |
| 2016 | IGARSS | A multitemporal change detection solution to oil spill monitoring. | Sicong Liu, Mingmin Chi, Yangxiu Zou, Alim Samat |
| 2012 | IGARSS | Input-output-consistent domain adaptation algorithm for remote sensing data classification. | Mingmin Chi, Jiangfeng Bao, Xintao Chen, Jn Atli Benediktsson |
| 2012 | KDD | A kernel fused perceptron for the online classification of large-scale data. | Huijun He, Mingmin Chi, Wenqiang Zhang |
| 2011 | IGARSS | Scalable semi-supervised classification of hyperspectral remote sensing data with spectral and spatial information. | Mingmin Chi, Jun Liu, Jiangfeng Bao, Jn Atli Benediktsson |
| 2010 | CIKM | Mixture model label propagation. | Mingmin Chi, Xisheng He, Shipeng Yu |
| 2009 | IJCNN | Temporal context as cortical spatial codes. | Juyang Weng, Yi Shen, Mingmin Chi, Xiangyang Xue |
| 2009 | WWW | Web image retrieval reranking with multi-view clustering. | Mingmin Chi, Peiwu Zhang, Yingbin Zhao, Rui Feng, Xiangyang Xue |
| 2008 | ECAI | MTForest: Ensemble Decision Trees based on Multi-Task Learning. | Qing Wang, Liang Zhang, Mingmin Chi, Jiankui Guo |
| 2008 | IGARSS | Cluster-Based Ensemble Classification for Hyperspectral Remote Sensing Images. | Mingmin Chi, Qun Qian, Jn Atli Benediktsson |
| 2007 | ICCV | Efficient Feature Extraction for Image Classification. | Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo, Mingmin Chi, Hong Lu |
| 2007 | ICML | Support cluster machine. | Bin Li, Mingmin Chi, Jianping Fan, Xiangyang Xue |
| 2007 | IGARSS | Integration of field work and hyperspectral data for oil and gas exploration. | Daqi Xu, Guoqiang Ni, Tao Jiang, Lili Jiang, Mingmin Chi |
| 2007 | IGARSS | Classification of hyperspectral data by continuation semi-supervised SVM. | Mingmin Chi, Lorenzo Bruzzone |
| 2006 | ICML | A continuation method for semi-supervised SVMs. | Olivier Chapelle, Mingmin Chi, Alexander Zien |
| 2005 | IGARSS | Transductive SVMs for semisupervised classification of hyperspectral data. | Lorenzo Bruzzone, Mingmin Chi, Mattia Marconcini |