Hu, Rui

23 publications

WACV 2025 Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation Jiahao Xu, Zikai Zhang, Rui Hu

CVPR 2025 Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding Han Xiao, Yina Xie, Guanxin Tan, Yinghao Chen, Rui Hu, Ke Wang, Aojun Zhou, Hao Li, Hao Shao, Xudong Lu, Peng Gao, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

ICLR 2025 Beyond Squared Error: Exploring Loss Design for Enhanced Training of Generative Flow Networks Rui Hu, Yifan Zhang, Zhuoran Li, Longbo Huang

CVPR 2025 BlueLM-V-3b: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices Xudong Lu, Yinghao Chen, Cheng Chen, Hui Tan, Boheng Chen, Yina Xie, Rui Hu, Guanxin Tan, Renshou Wu, Yan Hu, Yi Zeng, Lei Wu, Liuyang Bian, Zhaoxiong Wang, Long Liu, Yanzhou Yang, Han Xiao, Aojun Zhou, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

CVPR 2025 Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu, Zikai Zhang, Rui Hu

TMLR 2025 Efficient Diffusion Models: A Survey Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

ICML 2025 Finite-Time Analysis of Discrete-Time Stochastic Interpolants Yuhao Liu, Yu Chen, Rui Hu, Longbo Huang

NeurIPS 2025 FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models Yan Gao, Massimo Roberto Scamarcia, Javier Fernandez-Marques, Mohammad Naseri, Chong Shen Ng, Dimitris Stripelis, Zexi Li, Tao Shen, Jiamu Bai, Daoyuan Chen, Zikai Zhang, Rui Hu, InSeo Song, Lee KangYoon, Hong Jia, Ting Dang, Junyan Wang, Zheyuan Liu, Daniel Janes Beutel, Lingjuan Lyu, Nicholas D. Lane

ICCV 2025 GroundingSuite: Measuring Complex Multi-Granular Pixel Grounding Rui Hu, Lianghui Zhu, Yuxuan Zhang, Tianheng Cheng, Lei Liu, Heng Liu, Longjin Ran, Xiaoxin Chen, Wenyu Liu, Xinggang Wang

WACV 2025 Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu, Zikai Zhang, Rui Hu

CVPR 2025 ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models Yahan Tu, Rui Hu, Jitao Sang

AAAI 2025 ST3: Accelerating Multimodal Large Language Model by Spatial-Temporal Visual Token Trimming Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu

NeurIPS 2025 UI-Genie: A Self-Improving Approach for Iteratively Boosting MLLM-Based Mobile GUI Agents Han Xiao, Guozhi Wang, Yuxiang Chai, Zimu Lu, Weifeng Lin, Hao He, Lue Fan, Liuyang Bian, Rui Hu, Liang Liu, Shuai Ren, Yafei Wen, Xiaoxin Chen, Aojun Zhou, Hongsheng Li

ICLR 2024 Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion Lunjun Zhang, Yuwen Xiong, Ze Yang, Sergio Casas, Rui Hu, Raquel Urtasun

ECCV 2024 FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance Jiedong Zhuang, Jiaqi Hu, Lianrui Mu, Rui Hu, Xiaoyu Liang, Jiangnan Ye, Haoji Hu

NeurIPS 2024 FashionR2R: Texture-Preserving Rendered-to-Real Image Translation with Diffusion Models Rui Hu, Qian He, Gaofeng He, Jiedong Zhuang, Huang Chen, Huafeng Liu, Huamin Wang

ICLR 2022 Hybrid Local SGD for Federated Learning with Heterogeneous Communications Yuanxiong Guo, Ying Sun, Rui Hu, Yanmin Gong

ECCV 2022 Rethinking Closed-Loop Training for Autonomous Driving Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun

IJCAI 2021 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization Rui Hu, Yanmin Gong, Yuanxiong Guo

ECCV 2020 Conditional Entropy Coding for Efficient Video Compression Jerry Liu, Shenlong Wang, Wei-Chiu Ma, Meet Shah, Rui Hu, Pranaab Dhawan, Raquel Urtasun

ECCV 2020 Learning Lane Graph Representations for Motion Forecasting Ming Liang, Bin Yang, Rui Hu, Yun Chen, Renjie Liao, Song Feng, Raquel Urtasun

ECCV 2016 Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art Edgar Roman-Rangel, Gulcan Can, Stéphane Marchand-Maillet, Rui Hu, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Jean-Marc Odobez, Daniel Gatica-Perez

ECCVW 2016 Transferring Neural Representations for Low-Dimensional Indexing of Maya Hieroglyphic Art Edgar Roman-Rangel, Gulcan Can, Stéphane Marchand-Maillet, Rui Hu, Carlos Pallan Gayol, Guido Krempel, Jakub Spotak, Jean-Marc Odobez, Daniel Gatica-Perez