Lin, Ming

43 publications

ICML 2025 Adaptive Sensitivity Analysis for Robust Augmentation Against Natural Corruptions in Image Segmentation Laura Yu Zheng, Wenjie Wei, Tony Wu, Jacob Clements, Shreelekha Revankar, Andre Harrison, Yu Shen, Ming Lin

NeurIPS 2025 CAML: Collaborative Auxiliary Modality Learning for Multi-Agent Systems Rui Liu, Yu Shen, Peng Gao, Pratap Tokekar, Ming Lin

NeurIPS 2025 DisCO: Reinforcing Large Reasoning Models with Discriminative Constrained Optimization Gang Li, Ming Lin, Tomer Galanti, Zhengzhong Tu, Tianbao Yang

ICML 2025 Ensemble Learned Bloom Filters: Two Oracles Are Better than One Ming Lin, Lin Chen

AAAI 2025 MeRino: Entropy-Driven Design for Generative Language Models on IoT Devices Youpeng Zhao, Ming Lin, Huadong Tang, Qiang Wu, Jun Wang

ICML 2025 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

ICML 2025 Time-Aware World Model for Adaptive Prediction and Control Anh N Nhu, Sanghyun Son, Ming Lin

AAAI 2024 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

ICML 2024 An Intrinsic Vector Heat Network Alexander Gao, Maurice Chu, Mubbasir Kapadia, Ming Lin, Hsueh-Ti Derek Liu

NeurIPS 2024 Search for Efficient Large Language Models Xuan Shen, Pu Zhao, Yifan Gong, Zhenglun Kong, Zheng Zhan, Yushu Wu, Ming Lin, Chao Wu, Xue Lin, Yanzhi Wang

ICML 2023 Auxiliary Modality Learning with Generalized Curriculum Distillation Yu Shen, Xijun Wang, Peng Gao, Ming Lin

CVPR 2023 DeepMAD: Mathematical Architecture Design for Deep Convolutional Neural Network Xuan Shen, Yaohua Wang, Ming Lin, Yilun Huang, Hao Tang, Xiuyu Sun, Yanzhi Wang

NeurIPS 2023 Gradient Informed Proximal Policy Optimization Sanghyun Son, Laura Zheng, Ryan Sullivan, Yi-Ling Qiao, Ming Lin

CVPR 2023 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

ICLR 2023 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

ICLR 2023 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

ICLR 2022 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

NeurIPS 2022 Differentiable Analog Quantum Computing for Optimization and Control Jiaqi Leng, Yuxiang Peng, Yi-Ling Qiao, Ming Lin, Xiaodi Wu

ICLR 2022 Entroformer: A Transformer-Based Entropy Model for Learned Image Compression Yichen Qian, Xiuyu Sun, Ming Lin, Zhiyu Tan, Rong Jin

NeurIPS 2022 Entropy-Driven Mixed-Precision Quantization for Deep Network Design Zhenhong Sun, Ce Ge, Junyan Wang, Ming Lin, Hesen Chen, Hao Li, Xiuyu Sun

ECCV 2022 FAR: Fourier Aerial Video Recognition Divya Kothandaraman, Tianrui Guan, Xijun Wang, Shuowen Hu, Ming Lin, Dinesh Manocha

ECCV 2022 Fabric Material Recovery from Video Using Multi-Scale Geometric Auto-Encoder Junbang Liang, Ming Lin

ICLR 2022 GiraffeDet: A Heavy-Neck Paradigm for Object Detection Yiqi Jiang, Zhiyu Tan, Junyan Wang, Xiuyu Sun, Ming Lin, Hao Li

ECCV 2022 KVT: k-NN Attention for Boosting Vision Transformers Pichao Wang, Xue Wang, Fan Wang, Ming Lin, Shuning Chang, Hao Li, Rong Jin

ICML 2022 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

NeurIPS 2022 NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos Yi-Ling Qiao, Alexander Gao, Ming Lin

NeurIPS 2022 Robust Graph Structure Learning via Multiple Statistical Tests Yaohua Wang, Fangyi Zhang, Ming Lin, Senzhang Wang, Xiuyu Sun, Rong Jin

NeurIPS 2021 Differentiable Simulation of Soft Multi-Body Systems Yiling Qiao, Junbang Liang, Vladlen Koltun, Ming Lin

NeurIPS 2021 Gradient-Free Adversarial Training Against Image Corruption for Learning-Based Steering Yu Shen, Laura Zheng, Manli Shu, Weizi Li, Tom Goldstein, Ming Lin

ICLR 2021 Learning Accurate Entropy Model with Global Reference for Image Compression Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Li Hao, Rong Jin

ICCV 2021 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

ICML 2020 Scalable Differentiable Physics for Learning and Control Yi-Ling Qiao, Junbang Liang, Vladlen Koltun, Ming Lin

NeurIPS 2019 Differentiable Cloth Simulation for Inverse Problems Junbang Liang, Ming Lin, Vladlen Koltun

ICCVW 2019 MuffNet: Multi-Layer Feature Federation for Mobile Deep Learning Hesen Chen, Ming Lin, Xiuyu Sun, Qian Qi, Hao Li, Rong Jin

AAAI 2019 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

AAAI 2018 Margin Based PU Learning Tieliang Gong, Guangtao Wang, Jieping Ye, Zongben Xu, Ming Lin

NeurIPS 2016 A Non-Convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing Ming Lin, Jieping Ye

CVPRW 2016 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

CVPR 2015 Beyond Gaussian Pyramid: Multi-Skip Feature Stacking for Action Recognition Zhengzhong Lan, Ming Lin, Xuanchong Li, Alex G. Hauptmann, Bhiksha Raj

IJCAI 2015 Density Corrected Sparse Recovery When R.I.P. Condition Is Broken Ming Lin, Zhen-Zhong Lan, Alexander G. Hauptmann

AAAI 2015 Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition Chuang Gan, Ming Lin, Yi Yang, Yueting Zhuang, Alexander G. Hauptmann

UAI 2014 Efficient Sparse Recovery via Adaptive Non-Convex Regularizers with Oracle Property Ming Lin, Rong Jin, Changshui Zhang

ICML 2013 Online Kernel Learning with a near Optimal Sparsity Bound Lijun Zhang, Jinfeng Yi, Rong Jin, Ming Lin, Xiaofei He