Kaicheng Yu

According to our database, Kaicheng Yu authored at least 60 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting.

Haoran Xu, Saining Zhang, Peishuo Li, Baijun Ye, Xiaoxue Chen, Huan-ang Gao, Jv Zheng, Xiaowei Song, Ziqiao Peng, Run Miao, Jinrang Jia, Yifeng Shi, Guangqi Yi, Hang Zhao, Hao Tang, Hongyang Li, Kaicheng Yu, Hao Zhao

CoRR, July, 2025

Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models.

Jiahuan Zhang, Shunwen Bai, Tianheng Wang, Kaiwen Guo, Kai Han, Guozheng Rao, Kaicheng Yu

CoRR, July, 2025

DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction.

Zhiyi Hou, Enhui Ma, Fang Li, Zhiyi Lai, Kalok Ho, Zhanqian Wu, Lijun Zhou, Long Chen, Chitian Sun, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Kaicheng Yu

CoRR, July, 2025

BEVHeight++: Toward Robust Visual Centric 3D Object Detection.

Lei Yang, Tao Tang, Jun Li, Kun Yuan, Kai Wu, Peng Chen, Li Wang, Yi Huang, Lei Li, Xinyu Zhang, Kaicheng Yu

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning?

Xin Wang, Jiyao Liu, Yulong Xiao, Junzhi Ning, Lihao Liu, Junjun He, Botian Shi, Kaicheng Yu

CoRR, June, 2025

Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better.

Dianyi Wang, Wei Song, Yikun Wang, Siyuan Wang, Kaicheng Yu, Zhongyu Wei, Jiaqi Wang

CoRR, June, 2025

CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.

Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang

CoRR, March, 2025

MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving.

Haiguang Wang, Daqi Liu, Hongwei Xie, Haisong Liu, Enhui Ma, Kaicheng Yu, Limin Wang, Bing Wang

CoRR, March, 2025

DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies.

Wei Song, Yuran Wang, Zijia Song, Yadong Li, Haoze Sun, Weipeng Chen, Zenan Zhou, Jianhua Xu, Jiaqi Wang, Kaicheng Yu

CoRR, March, 2025

Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence.

Yingying Sun, Jun A, Zhiwei Liu, Rui Sun, Liujia Qian, Samuel H. Payne, Wout Bittremieux, Markus Ralser, Chen Li, Yi Chen, Zhen Dong, Yasset Pérez-Riverol, Asif Khan, Chris Sander, Ruedi Aebersold, Juan Antonio Vizcaíno, Jonathan R. Krieger, Jianhua Yao, Han Wen, Linfeng Zhang, Yunping Zhu, Yue Xuan, Benjamin Boyang Sun, Liang Qiao, Henning Hermjakob, Haixu Tang, Huanhuan Gao, Yamin Deng, Qing Zhong, Cheng Chang, Nuno Bandeira, Ming Li, Weinan E, Siqi Sun, Yuedong Yang, Gilbert S. Omenn, Yue Zhang, Ping Xu, Yan Fu, Xiaowen Liu, Christopher M. Overall, Yu Wang, Eric W. Deutsch, Luonan Chen, Jürgen Cox, Vadim Demichev, Fuchu He, Jiaxing Huang, Huilin Jin, Chao Liu, Nan Li, Zhongzhi Luan, Jiangning Song, Kaicheng Yu, Wanggen Wan, Tai Wang, Kang Zhang, Le Zhang, Peter A. Bell, Matthias Mann, Bing Zhang, Tiannan Guo

CoRR, February, 2025

SR-LLM: Rethinking the Structured Representation in Large Language Model.

Jiahuan Zhang, Tianheng Wang, Hanqing Wu, Ziyi Huang, Yulong Wu, Dongbai Chen, Linfeng Song, Yue Zhang, Guozheng Rao, Kaicheng Yu

CoRR, February, 2025

Semantic-DARTS: Elevating Semantic Learning for Mobile Differentiable Architecture Search.

Bicheng Guo, Shibo He, Miaojing Shi, Kaicheng Yu, Jiming Chen, Xuemin Shen

IEEE Internet Things J., January, 2025

SR-LLM: Rethinking the Structured Representation in Large Language Model.

Jiahuan Zhang, Tianheng Wang, Ziyi Huang, Yulong Wu, Hanqing Wu, DongbaiChen DongbaiChen, Linfeng Song, Yue Zhang, Guozheng Rao, Kaicheng Yu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Investigation of the temperature gradient control in the printing space for the material extrusion of medical biodegradable hydrogel.

Kaicheng Yu, Qiang Gao, Zexue Lin, Fei Wang, Peng Zhang, YongDan Liu, Lihua Lu

Comput. Biol. Medicine, January, 2024

<i>PatentAgent</i>: Intelligent Agent for Automated Pharmaceutical Patent Analysis.

Xin Wang, Yifan Zhang, Xiaojing Zhang, Longhui Yu, Xinna Lin, Jindong Jiang, Bin Ma, Kaicheng Yu

CoRR, 2024

Baichuan-Omni Technical Report.

Yadong Li, Haoze Sun, Mingan Lin, Tianpeng Li, Guosheng Dong, Tao Zhang, Bowen Ding, Wei Song, Zhenglin Cheng, Yuqi Huo, Song Chen, Xu Li, Da Pan, Shusen Zhang, Xin Wu, Zheng Liang, Jun Liu, Tao Zhang, Keer Lu, Yaqi Zhao, Yanjun Shen, Fan Yang, Kaicheng Yu, Tao Lin, Jianhua Xu, Zenan Zhou, Weipeng Chen

CoRR, 2024

DiVE: DiT-based Video Generation with Enhanced Control.

Junpeng Jiang, Gangyi Hong, Lijun Zhou, Enhui Ma, Hengtong Hu, Xia Zhou, Jie Xiang, Fan Liu, Kaicheng Yu, Haiyang Sun, Kun Zhan, Peng Jia, Miao Zhang

CoRR, 2024

BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science.

Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu

CoRR, 2024

M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark.

Wei Song, Yadong Li, Jianhua Xu, Guowei Wu, Lingfeng Ming, Kexin Yi, Weihua Luo, Houyi Li, Yi Du, Fangda Guo, Kaicheng Yu

CoRR, 2024

Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.

Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu

CoRR, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

CoRR, 2024

LiT: Unifying LiDAR "Languages" with LiDAR Translator.

Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Tutorial: Large Language-Vision Model in Society.

Kaicheng Yu, Zhuang Shao, Siyuan Qi, Dongfang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection.

Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu

Proceedings of the Computer Vision - ECCV 2024, 2024

Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training.

Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.

Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property.

Kaicheng Yu, Qiang Gao, Jingfeng Xu, Liang Liu, Lizi Qi, Yuheng Guan, Yifeng Yao, Fangzheng Chen, Peng Zhang, YongDan Liu, Lihua Lu

Comput. Biol. Medicine, November, 2023

BEVHeight++: Toward Robust Visual Centric 3D Object Detection.

Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu

CoRR, 2023

FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection.

Chunyong Hu, Hang Zheng, Kun Li, Jianyun Xu, Weibo Mao, Maochun Luo, Lingxuan Wang, Mingxia Chen, Qihao Peng, Kaixuan Liu, Yiru Zhao, Peihan Hao, Minzhe Liu, Kaicheng Yu

CoRR, 2023

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.

Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu

CoRR, 2023

FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.

Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu

CoRR, 2023

Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields.

Shangzhan Zhang, Sida Peng, Yinji ShenTu, Qing Shuai, Tianrun Chen, Kaicheng Yu, Hujun Bao, Xiaowei Zhou

CoRR, 2023

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.

Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu

CoRR, 2023

Mendam: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition.

Qingheng Zhang, Haibo Ye, Kaicheng Yu

Proceedings of the IEEE International Conference on Acoustics, 2023

Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask.

Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection.

Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection.

Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

An Analysis of Super-Net Heuristics in Weight-Sharing NAS.

Kaicheng Yu, René Ranftl, Mathieu Salzmann

IEEE Trans. Pattern Anal. Mach. Intell., 2022

α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling.

Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Cheng, Shibo He, Jiming Chen, Kaicheng Yu

CoRR, 2022

Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers.

Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang

CoRR, 2022

Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection.

Kaicheng Yu, Tao Tang, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang

CoRR, 2022

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework.

Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy.

Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter

Proceedings of the Tenth International Conference on Learning Representations, 2022

Knowledge Distillation via the Target-aware Transformer.

Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search.

Kaicheng Yu

PhD thesis, 2021

Pyramid Architecture Search for Real-Time Image Deblurring.

Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.

Kaicheng Yu, René Ranftl, Mathieu Salzmann

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm.

Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li, Chuanqi Wang

Sensors, 2020

An Enhanced AUV- Aided TDoA Localization Algorithm for Underwater Acoustic Sensor Networks.

Kun Hao, Kaicheng Yu, Zijun Gong, Xiujuan Du, Yonglei Liu, Lu Zhao

Mob. Networks Appl., 2020

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS.

Kaicheng Yu, René Ranftl, Mathieu Salzmann

CoRR, 2020

A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node.

Kun Hao, Qixin Xue, Cheng Li, Kaicheng Yu

IEEE Access, 2020

Evaluating The Search Phase of Neural Architecture Search.

Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann

Proceedings of the 8th International Conference on Learning Representations, 2020

The Eighth Visual Object Tracking VOT2020 Challenge Results.

Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Subrahmanyam Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

Generalized Class Incremental Learning.

Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Overcoming Multi-model Forgetting.

Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat

Proceedings of the 36th International Conference on Machine Learning, 2019

Recurrent U-Net for Resource-Constrained Segmentation.

Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation.

Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann

CoRR, 2018

Statistically-Motivated Second-Order Pooling.

Kaicheng Yu, Mathieu Salzmann

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Second-order Convolutional Neural Networks.

Kaicheng Yu, Mathieu Salzmann

CoRR, 2017