Chen, Yukang

33 publications

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

ICCV 2025 Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition Zhisheng Zhong, Chengyao Wang, Yuqi Liu, Senqiao Yang, Longxiang Tang, Yuechen Zhang, Jingyao Li, Tianyuan Qu, Yanwei Li, Yukang Chen, Shaozuo Yu, Sitong Wu, Eric Lo, Shu Liu, Jiaya Jia

NeurIPS 2025 MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO Yicheng Xiao, Lin Song, Yukang Chen, Yingmin Luo, Yuxin Chen, Yukang Gan, Wei Huang, Xiu Li, Xiaojuan Qi, Ying Shan

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

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 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

ICCV 2025 SparseVILA: Decoupling Visual Sparsity for Efficient VLM Inference Samir Khaki, Junxian Guo, Jiaming Tang, Shang Yang, Yukang Chen, Konstantinos N. Plataniotis, Yao Lu, Song Han, Zhijian Liu

NeurIPS 2025 TTS-VAR: A Test-Time Scaling Framework for Visual Auto-Regressive Generation Zhekai Chen, Ruihang Chu, Yukang Chen, Shiwei Zhang, Yujie Wei, Yingya Zhang, Xihui Liu

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

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 Denoising Diffusion Step-Aware Models Shuai Yang, Yukang Chen, Luozhou Wang, Shu Liu, Ying-Cong Chen

CVPR 2024 LISA: Reasoning Segmentation via Large Language Model Xin Lai, Zhuotao Tian, Yukang Chen, Yanwei Li, Yuhui Yuan, Shu Liu, Jiaya Jia

ICLR 2024 LongLoRA: Efficient Fine-Tuning of Long-Context Large Language Models Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu, Song Han, Jiaya Jia

CVPR 2024 Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs Lin Song, Yukang Chen, Shuai Yang, Xiaohan Ding, Yixiao Ge, Ying-Cong Chen, Ying Shan

NeurIPS 2024 MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

CVPR 2024 OA-CNNs: Omni-Adaptive Sparse CNNs for 3D Semantic Segmentation Bohao Peng, Xiaoyang Wu, Li Jiang, Yukang Chen, Hengshuang Zhao, Zhuotao Tian, Jiaya Jia

NeurIPS 2024 RL-GPT: Integrating Reinforcement Learning and Code-as-Policy Shaoteng Liu, Haoqi Yuan, Minda Hu, Yanwei Li, Yukang Chen, Shu Liu, Zongqing Lu, Jiaya Jia

CVPR 2024 SaCo Loss: Sample-Wise Affinity Consistency for Vision-Language Pre-Training Sitong Wu, Haoru Tan, Zhuotao Tian, Yukang Chen, Xiaojuan Qi, Jiaya Jia

NeurIPS 2023 Data Pruning via Moving-One-Sample-Out Haoru Tan, Sitong Wu, Fei Du, Yukang Chen, Zhibin Wang, Fan Wang, Xiaojuan Qi

ICCV 2023 FocalFormer3D: Focusing on Hard Instance for 3D Object Detection Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, Jose M. Alvarez

ICCV 2023 IST-Net: Prior-Free Category-Level Pose Estimation with Implicit Space Transformation Jianhui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi

CVPR 2023 LargeKernel3D: Scaling up Kernels in 3D Sparse CNNs Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia

ICCV 2023 Mask-Attention-Free Transformer for 3D Instance Segmentation Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia

CVPR 2023 Spherical Transformer for LiDAR-Based 3D Recognition Xin Lai, Yukang Chen, Fanbin Lu, Jianhui Liu, Jiaya Jia

CVPR 2023 VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking Yukang Chen, Jianhui Liu, Xiangyu Zhang, Xiaojuan Qi, Jiaya Jia

CVPR 2022 Focal Sparse Convolutional Networks for 3D Object Detection Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia

NeurIPS 2022 Spatial Pruned Sparse Convolution for Efficient 3D Object Detection Jianhui Liu, Yukang Chen, Xiaoqing Ye, Zhuotao Tian, Xiao Tan, Xiaojuan Qi

CVPR 2022 Voxel Field Fusion for 3D Object Detection Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia

CVPRW 2022 When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun

CVPR 2021 Multi-Scale Aligned Distillation for Low-Resolution Detection Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia

CVPR 2021 Scale-Aware Automatic Augmentation for Object Detection Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia

ICCVW 2021 Single-DARTS: Towards Stable Architecture Search Pengfei Hou, Ying Jin, Yukang Chen

NeurIPS 2019 DetNAS: Backbone Search for Object Detection Yukang Chen, Tong Yang, Xiangyu Zhang, Gaofeng Meng, Xinyu Xiao, Jian Sun