Ye, Hanrong

16 publications

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
ICLR 2026 UALM: Unified Audio Language Model for Understanding, Generation and Reasoning Jinchuan Tian, Sang-gil Lee, Zhifeng Kong, Sreyan Ghosh, Arushi Goel, Chao-Han Huck Yang, Wenliang Dai, Zihan Liu, Hanrong Ye, Shinji Watanabe, Mohammad Shoeybi, Bryan Catanzaro, Rafael Valle, Wei Ping
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
ICML 2025 I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models Zhenxing Mi, Kuan-Chieh Wang, Guocheng Qian, Hanrong Ye, Runtao Liu, Sergey Tulyakov, Kfir Aberman, Dan Xu
ICLR 2025 MIA-Bench: Towards Better Instruction Following Evaluation of Multimodal LLMs Yusu Qian, Hanrong Ye, Jean-Philippe Fauconnier, Peter Grasch, Yinfei Yang, Zhe Gan
ICLR 2025 MMEgo: Towards Building Egocentric Multimodal LLMs for Video QA Hanrong Ye, Haotian Zhang, Erik Daxberger, Lin Chen, Zongyu Lin, Yanghao Li, Bowen Zhang, Haoxuan You, Dan Xu, Zhe Gan, Jiasen Lu, Yinfei Yang
NeurIPS 2025 Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models Yonggan Fu, Xin Dong, Shizhe Diao, Matthijs Van keirsbilck, Hanrong Ye, Wonmin Byeon, Yashaswi Karnati, Lucas Liebenwein, Maksim Khadkevich, Alexander Keller, Jan Kautz, Yingyan Celine Lin, 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 2024 DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data Hanrong Ye, Dan Xu
ECCV 2024 SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis Hanrong Ye, Jason Kuen, Qing Liu, Zhe Lin, Brian Price, Dan Xu
AAAI 2023 Contrastive Multi-Task Dense Prediction Siwei Yang, Hanrong Ye, Dan Xu
ICCV 2023 TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts Hanrong Ye, Dan Xu
ICLR 2023 TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding Hanrong Ye, Dan Xu
ECCV 2022 Inverted Pyramid Multi-Task Transformer for Dense Scene Understanding Hanrong Ye, Dan Xu
IJCAI 2021 Modality-Aware Style Adaptation for RGB-Infrared Person Re-Identification Ziling Miao, Hong Liu, Wei Shi, Wanlu Xu, Hanrong Ye