| 2025 | AAAI | MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices. | Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang |
| 2025 | ICML | Ensemble Learned Bloom Filters: Two Oracles are Better than One. | Ming Lin, Lin Chen |
| 2025 | ICML | Time-Aware World Model for Adaptive Prediction and Control. | Anh N. Nhu, Sanghyun Son, Ming Lin |
| 2025 | ICML | Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws. | Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang |
| 2025 | IROS | MMCD: Multi-Modal Collaborative Decision-Making for Connected Autonomy with Knowledge Distillation. | Rui Liu, Zikang Wang, Peng Gao, Yu Shen, Pratap Tokekar, Ming Lin |
| 2024 | AAAI | Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. | Xuan Shen, Peiyan Dong, Lei Lu, Zhenglun Kong, Zhengang Li, Ming Lin, Chao Wu, Yanzhi Wang |
| 2023 | CVPR | Making Vision Transformers Efficient from A Token Sparsification View. | Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin, Mike Zheng Shou |
| 2023 | CVPR | DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network. | Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang |
| 2023 | ICLR | PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification. | Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan |
| 2023 | ICLR | Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition. | Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song |
| 2023 | ICPP | Scheduling Dependent Batching Tasks. | Hehuan Shi, Lin Chen, Ming Lin, Raphael C.-W. Phan |
| 2022 | ECCV | KVT: k-NN Attention for Boosting Vision Transformers. | Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin |
| 2022 | ICLR | GiraffeDet: A Heavy-Neck Paradigm for Object Detection. | Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming Lin, Hao Li |
| 2022 | ICLR | Entroformer: A Transformer-based Entropy Model for Learned Image Compression. | Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin |
| 2022 | ICLR | Ada-NETS: Face Clustering via Adaptive Neighbour Discovery in the Structure Space. | Yaohua Wang, Yaobin Zhang, Fangyi Zhang, Senzhang Wang, Ming Lin, YuQi Zhang, Xiuyu Sun |
| 2022 | ICML | MAE-DET: Revisiting Maximum Entropy Principle in Zero-Shot NAS for Efficient Object Detection. | Zhenhong Sun, Ming Lin, Xiuyu Sun, Zhiyu Tan, Hao Li, Rong Jin |
| 2021 | ICCV | Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. | Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin |
| 2021 | ICLR | Learning Accurate Entropy Model with Global Reference for Image Compression. | Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Hao Li, Rong Jin |
| 2019 | AAAI | Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. | Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2019 | KDD | Robust Gaussian Process Regression for Real-Time High Precision GPS Signal Enhancement. | Ming Lin, Xiaomin Song, Qi Qian, Hao Li, Liang Sun, Shenghuo Zhu, Rong Jin |
| 2018 | AAAI | Margin Based PU Learning. | Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin |
| 2017 | MICCAI | Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis. | Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li |
| 2016 | AAAI | Concepts Not Alone: Exploring Pairwise Relationships for Zero-Shot Video Activity Recognition. | Chuang Gan, Ming Lin, Yi Yang, Gerard de Melo, Alexander G. Hauptmann |
| 2016 | CVPR | The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action Recognition. | Zhen-Zhong Lan, Shoou-I Yu, Dezhong Yao, Ming Lin, Bhiksha Raj, Alexander G. Hauptmann |
| 2015 | AAAI | Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition. | Chuang Gan, Ming Lin, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann |
| 2015 | CVPR | Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition. | Zhen-Zhong Lan, Ming Lin, Xuanchong Li, Alexander G. Hauptmann, Bhiksha Raj |
| 2015 | IJCAI | Density Corrected Sparse Recovery when R.I.P. Condition Is Broken. | Ming Lin, Zhen-Zhong Lan, Alexander G. Hauptmann |
| 2014 | UAI | Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property. | Ming Lin, Rong Jin, Changshui Zhang |
| 2013 | ICML | Online Kernel Learning with a Near Optimal Sparsity Bound. | Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He |
| 2005 | ICIS | Virtual Interaction for Effective E-Learning. | Jinwei Cao, Ming Lin, Janna M. Crews, Judee K. Burgoon, Jay F. Nunamaker Jr. |
| 2004 | AIMSA | Learning Obstacle Avoidance Behavior Using Multi-agent Learning with Fuzzy States. | Ming Lin, Jihong Zhu, Zengqi Sun |
| 2004 | ICIS | The Interaction of Research Methods for System Evaluation and Theory Testing: A New Vision of the Benefits of Multi-Methodological Information Systems Research. | Jinwei Cao, Ming Lin, Janna M. Crews, Amit V. Deokar, Judee K. Burgoon |
| 2004 | ISI | Computer-Based Training for Deception Detection: What Users Want? | Jinwei Cao, Ming Lin, Amit V. Deokar, Judee K. Burgoon, Janna M. Crews, Mark Adkins |
| 2003 | ISI | Designing Agent99 Trainer: A Learner-Centered, Web-Based Training System for Deception Detection. | Jinwei Cao, Janna M. Crews, Ming Lin, Judee K. Burgoon, Jay F. Nunamaker Jr. |