Yin, Hongxu

44 publications

ICLR 2026 3D Aware Region Prompted Vision Language Model An-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu, Xiaolong Li, Subhashree Radhakrishnan, Song Han, Yao Lu, Jan Kautz, Pavlo Molchanov, Hongxu Yin, Xiaolong Wang, Sifei Liu

ICLR 2026 OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Zhen Wan, Jinchuan Tian, An-Chieh Cheng, Ligeng Zhu, Yuanhang Su, Yuming Lou, Yong-Xiang Lin, Dong Yang, Sreyan Ghosh, Zhijian Liu, Yukang Chen, Ehsan Jahangiri, Ambrish Dantrey, Daguang Xu, Ehsan Hosseini-Asl, Seyed Danial Mohseni Taheri, Vidya Nariyambut Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov

ICLR 2026 QeRL: Beyond Efficiency - Quantization-Enhanced Reinforcement Learning for LLMs Wei Huang, Yi Ge, Shuai Yang, Yicheng Xiao, Huizi Mao, Yujun Lin, Hanrong Ye, Sifei Liu, Ka Chun Cheung, Hongxu Yin, Yao Lu, Xiaojuan Qi, Song Han, Yukang Chen

WACV 2025 Advancing Weight and Channel Sparsification with Enhanced Saliency Xinglong Sun, Maying Shen, Hongxu Yin, Lei Mao, Pavlo Molchanov, Jose M. Alvarez

ICLR 2025 Eagle: Exploring the Design Space for Multimodal LLMs with Mixture of Encoders Min Shi, Fuxiao Liu, Shihao Wang, Shijia Liao, Subhashree Radhakrishnan, Yilin Zhao, De-An Huang, Hongxu Yin, Karan Sapra, Yaser Yacoob, Humphrey Shi, Bryan Catanzaro, Andrew Tao, Jan Kautz, Zhiding Yu, Guilin Liu

NeurIPS 2025 GSPN-2: Efficient Parallel Sequence Modeling Hongjun Wang, Yitong Jiang, Collin McCarthy, David Wehr, Hanrong Ye, Xinhao Li, Ka Chun Cheung, Wonmin Byeon, Jinwei Gu, Ke Chen, Kai Han, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Sifei Liu

ICLR 2025 LLaMaFlex: Many-in-One LLMs via Generalized Pruning and Weight Sharing Ruisi Cai, Saurav Muralidharan, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

ICLR 2025 LongVILA: Scaling Long-Context Visual Language Models for Long Videos Yukang Chen, Fuzhao Xue, Dacheng Li, Qinghao Hu, Ligeng Zhu, Xiuyu Li, Yunhao Fang, Haotian Tang, Shang Yang, Zhijian Liu, Yihui He, Hongxu Yin, Pavlo Molchanov, Jan Kautz, Linxi Fan, Yuke Zhu, Yao Lu, Song Han

CVPR 2025 NVILA: Efficient Frontier Visual Language Models Zhijian Liu, Ligeng Zhu, Baifeng Shi, Zhuoyang Zhang, Yuming Lou, Shang Yang, Haocheng Xi, Shiyi Cao, Yuxian Gu, Dacheng Li, Xiuyu Li, Haotian Tang, Yunhao Fang, Yukang Chen, Cheng-Yu Hsieh, De-An Huang, An-Chieh Cheng, Jinyi Hu, Sifei Liu, Ranjay Krishna, Pavlo Molchanov, Jan Kautz, Hongxu Yin, Song Han, Yao Lu

NeurIPS 2025 Nemotron-CLIMB: Clustering-Based Iterative Data Mixture Bootstrapping for Language Model Pre-Training Shizhe Diao, Yu Yang, Yonggan Fu, Xin Dong, Dan Su, Markus Kliegl, Zijia Chen, Peter Belcak, Yoshi Suhara, Hongxu Yin, Mostofa Patwary, Yingyan Celine Lin, Jan Kautz, Pavlo Molchanov

CVPR 2025 RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov

NeurIPS 2025 Scaling RL to Long Videos Yukang Chen, Wei Huang, Baifeng Shi, Qinghao Hu, Hanrong Ye, Ligeng Zhu, Zhijian Liu, Pavlo Molchanov, Jan Kautz, Xiaojuan Qi, Sifei Liu, Hongxu Yin, Yao Lu, Song Han

CVPR 2025 Scaling Vision Pre-Training to 4k Resolution Baifeng Shi, Boyi Li, Han Cai, Yao Lu, Sifei Liu, Marco Pavone, Jan Kautz, Song Han, Trevor Darrell, Pavlo Molchanov, Hongxu Yin

ICCV 2025 Token-Efficient VLM: High-Resolution Image Understanding via Dynamic Region Proposal Yitong Jiang, Jinwei Gu, Tianfan Xue, Ka Chun Cheung, Pavlo Molchanov, Hongxu Yin, Sifei Liu

CVPR 2025 VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie Harmon, Benjamin Simon, Greg Heinrich, Stephen Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

ICLR 2025 VILA-U: A Unified Foundation Model Integrating Visual Understanding and Generation Yecheng Wu, Zhuoyang Zhang, Junyu Chen, Haotian Tang, Dacheng Li, Yunhao Fang, Ligeng Zhu, Enze Xie, Hongxu Yin, Li Yi, Song Han, Yao Lu

NeurIPS 2025 WorldModelBench: Judging Video Generation Models as World Models Dacheng Li, Yunhao Fang, Yukang Chen, Shuo Yang, Shiyi Cao, Justin Wong, Michael Luo, Xiaolong Wang, Hongxu Yin, Joseph E. Gonzalez, Ion Stoica, Song Han, Yao Lu

ICLR 2024 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

ICML 2024 DoRA: Weight-Decomposed Low-Rank Adaptation Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen

ICLR 2024 FasterViT: Fast Vision Transformers with Hierarchical Attention Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

ICML 2024 FedBPT: Efficient Federated Black-Box Prompt Tuning for Large Language Models Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R Roth

ICML 2024 Flextron: Many-in-One Flexible Large Language Model Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

ECCV 2024 LITA: Language Instructed Temporal-Localization Assistant De-An Huang, Shijia Liao, Subhashree Radhakrishnan, Hongxu Yin, Pavlo Molchanov, Zhiding Yu, Jan Kautz

NeurIPS 2024 MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

CVPR 2024 RegionGPT: Towards Region Understanding Vision Language Model Qiushan Guo, Shalini De Mello, Hongxu Yin, Wonmin Byeon, Ka Chun Cheung, Yizhou Yu, Ping Luo, Sifei Liu

NeurIPS 2024 SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu

CVPR 2024 VILA: On Pre-Training for Visual Language Models Ji Lin, Hongxu Yin, Wei Ping, Pavlo Molchanov, Mohammad Shoeybi, Song Han

NeurIPSW 2023 Adaptive Sharpness-Aware Pruning for Robust Sparse Networks Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez

ICML 2023 Global Context Vision Transformers Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov

CVPR 2023 Global Vision Transformer Pruning with Hessian-Aware Saliency Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

CVPR 2023 Heterogeneous Continual Learning Divyam Madaan, Hongxu Yin, Wonmin Byeon, Jan Kautz, Pavlo Molchanov

ICML 2023 Loss-Guided Diffusion Models for Plug-and-Play Controllable Generation Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat

CVPR 2023 Recurrence Without Recurrence: Stable Video Landmark Detection with Deep Equilibrium Models Paul Micaelli, Arash Vahdat, Hongxu Yin, Jan Kautz, Pavlo Molchanov

CVPR 2022 A-ViT: Adaptive Tokens for Efficient Vision Transformer Hongxu Yin, Arash Vahdat, Jose M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov

CVPR 2022 GradViT: Gradient Inversion of Vision Transformers Ali Hatamizadeh, Hongxu Yin, Holger R. Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov

ECCV 2022 LANA: Latency Aware Network Acceleration Pavlo Molchanov, Jimmy Hall, Hongxu Yin, Jan Kautz, Nicolo Fusi, Arash Vahdat

NeurIPS 2022 Structural Pruning via Latency-Saliency Knapsack Maying Shen, Hongxu Yin, Pavlo Molchanov, Lei Mao, Jianna Liu, Jose M. Alvarez

CVPR 2022 When to Prune? a Policy Towards Early Structural Pruning Maying Shen, Pavlo Molchanov, Hongxu Yin, Jose M. Alvarez

WACV 2021 Data-Free Knowledge Distillation for Object Detection Akshay Chawla, Hongxu Yin, Pavlo Molchanov, Jose Alvarez

CVPR 2021 Optimal Quantization Using Scaled Codebook Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel A. Carreira-Perpinan, Jose M. Alvarez

CVPR 2021 See Through Gradients: Image Batch Recovery via GradInversion Hongxu Yin, Arun Mallya, Arash Vahdat, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

CVPR 2020 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion Hongxu Yin, Pavlo Molchanov, Jose M. Alvarez, Zhizhong Li, Arun Mallya, Derek Hoiem, Niraj K. Jha, Jan Kautz

CVPR 2019 ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha