Yu, Bei

38 publications

ICML 2025 Bridging Layout and RTL: Knowledge Distillation Based Timing Prediction Mingjun Wang, Yihan Wen, Bin Sun, Jianan Mu, Juan Li, Xiaoyi Wang, Jing Justin Ye, Bei Yu, Huawei Li

ICLR 2025 Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment Haoyuan Wu, Haisheng Zheng, Yuan Pu, Bei Yu

NeurIPS 2025 DLoFT: Gradient-Decoupled Fine-Tuning for Generalizable Long Chain-of-Thought Reasoning Sitong Wu, Haoru Tan, Jingyao Li, Shaofeng Zhang, Xiaojuan Qi, Bei Yu, Jiaya Jia

ICCV 2025 Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma? Tianyuan Qu, Longxiang Tang, Bohao Peng, Senqiao Yang, Bei Yu, Jiaya Jia

CVPR 2025 DreamOmni: Unified Image Generation and Editing Bin Xia, Yuechen Zhang, Jingyao Li, Chengyao Wang, Yitong Wang, Xinglong Wu, Bei Yu, Jiaya Jia

AAAI 2025 FlexPose: Pose Distribution Adaptation with Limited Guidance Zixiao Wang, Junwu Weng, Mengyuan Liu, Bei Yu

CVPR 2025 Generative Video Propagation Shaoteng Liu, Tianyu Wang, Jui-Hsien Wang, Qing Liu, Zhifei Zhang, Joon-Young Lee, Yijun Li, Bei Yu, Zhe Lin, Soo Ye Kim, Jiaya Jia

AAAI 2025 Intelligent OPC Engineer Assistant for Semiconductor Manufacturing Guojin Chen, Haoyu Yang, Bei Yu, Haoxing Ren

ICCV 2025 Learnable Feature Patches and Vectors for Boosting Low-Light Image Enhancement Without External Knowledge Xiaogang Xu, Jiafei Wu, Qingsen Yan, Jiequan Cui, Richang Hong, Bei Yu

NeurIPS 2025 LithoSim: A Large, Holistic Lithography Simulation Benchmark for AI-Driven Semiconductor Manufacturing Hongquan He, Zhen Wang, Jingya Wang, Tao Wu, Xuming He, Bei Yu, Jingyi Yu, Hao Geng

IJCAI 2025 Low-Light Video Enhancement via Spatial-Temporal Consistent Decomposition Xiaogang Xu, Kun Zhou, Tao Hu, Jiafei Wu, Ruixing Wang, Hao Peng, Bei Yu

ICCV 2025 Mixture-of-Scores: Robust Image-Text Data Valuation via Three Lines of Code Sitong Wu, Haoru Tan, Yukang Chen, Shaofeng Zhang, Jingyao Li, Bei Yu, Xiaojuan Qi, Jiaya Jia

NeurIPS 2025 On-Policy Optimization with Group Equivalent Preference for Multi-Programming Language Understanding Haoyuan Wu, Rui Ming, Jilong Gao, Hangyu Zhao, Xueyi Chen, Yikai Yang, Haisheng Zheng, Zhuolun He, Bei Yu

NeurIPS 2025 PermLLM: Learnable Channel Permutation for N:M Sparse Large Language Models Lancheng Zou, Shuo Yin, Zehua Pei, Tsung-Yi Ho, Farzan Farnia, Bei Yu

ICML 2025 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization Mingkang Zhu, Xi Chen, Zhongdao Wang, Bei Yu, Hengshuang Zhao, Jiaya Jia

NeurIPS 2025 VisionThink: Smart and Efficient Vision Language Model via Reinforcement Learning Senqiao Yang, Junyi Li, Xin Lai, Jinming Wu, Wei Li, Zejun Ma, Bei Yu, Hengshuang Zhao, Jiaya Jia

CVPR 2025 VisionZip: Longer Is Better but Not Necessary in Vision Language Models Senqiao Yang, Yukang Chen, Zhuotao Tian, Chengyao Wang, Jingyao Li, Bei Yu, Jiaya Jia

ICML 2024 BetterV: Controlled Verilog Generation with Discriminative Guidance Zehua Pei, Huiling Zhen, Mingxuan Yuan, Yu Huang, Bei Yu

ICML 2024 BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu

CVPR 2024 Classes Are Not Equal: An Empirical Study on Image Recognition Fairness Jiequan Cui, Beier Zhu, Xin Wen, Xiaojuan Qi, Bei Yu, Hanwang Zhang

NeurIPS 2024 Decoupled Kullback-Leibler Divergence Loss Jiequan Cui, Zhuotao Tian, Zhisheng Zhong, Xiaojuan Qi, Bei Yu, Hanwang Zhang

NeurIPS 2024 Improving Neural ODE Training with Temporal Adaptive Batch Normalization Su Zheng, Zhengqi Gao, Fan-Keng Sun, Duane S. Boning, Bei Yu, Martin Wong

AAAI 2024 P-Laplacian Adaptation for Generative Pre-Trained Vision-Language Models Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu

AAAI 2024 Progressively Knowledge Distillation via Re-Parameterizing Diffusion Reverse Process Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu

AAAI 2024 Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong

AAAI 2023 AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution Yuxuan Zhao, Qi Sun, Zhuolun He, Yang Bai, Bei Yu

ICML 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu

ICCV 2023 Efficient Deep Space Filling Curve Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu

IJCAI 2023 FastGR: Global Routing on CPU-GPU with Heterogeneous Task Graph Scheduler (Extended Abstract) Siting Liu, Yuan Pu, Peiyu Liao, Hongzhong Wu, Rui Zhang, Zhitang Chen, Wenlong Lv, Yibo Lin, Bei Yu

NeurIPS 2023 LithoBench: Benchmarking AI Computational Lithography for Semiconductor Manufacturing Su Zheng, Haoyu Yang, Binwu Zhu, Bei Yu, Martin Wong

AAAI 2022 Context-Based Contrastive Learning for Scene Text Recognition Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li, Bei Yu

ECCV 2022 Efficient Point Cloud Analysis Using Hilbert Curve Wanli Chen, Xinge Zhu, Guojin Chen, Bei Yu

CVPR 2022 PCL: Proxy-Based Contrastive Learning for Domain Generalization Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu

ICCV 2021 Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu

ICCV 2021 Parametric Contrastive Learning Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia

ICCV 2021 Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment Ruixing Wang, Xiaogang Xu, Chi-Wing Fu, Jiangbo Lu, Bei Yu, Jiaya Jia

ECCV 2020 Dive Deeper into Box for Object Detection Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai

ECCV 2020 Tensor Low-Rank Reconstruction for Semantic Segmentation Wanli Chen, Xinge Zhu, Ruoqi Sun, Junjun He, Ruiyu Li, Xiaoyong Shen, Bei Yu