Kaicheng Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
9
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation. | Yiran Liu, Zhiyi Hou, Xiaoang Xu, Shuo Wang, Huijia Wu, Kaicheng Yu, Yang Yu, ChengXiang Zhai |
| 2026 | AAAI | CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving. | Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu |
| 2026 | ACL | Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better. | Dianyi Wang, Wei Song, Yikun Wang, Siyuan Wang, Kaicheng Yu, Zhongyu Wei, Jiaqi Wang |
| 2026 | ACL | Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models. | Jiahuan Zhang, Shunwen Bai, Tianheng Wang, Kaiwen Guo, Zijia Song, Hanqing Wu, Guozheng Rao, Kai Han, Kaicheng Yu |
| 2025 | ACL | 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 |
| 2025 | ICML | 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 |
| 2025 | IROS | Design and Development of a Deformable Spherical Robot for Amphibious Applications | Le Xu, Ruoyu Ren, Xiaojie Wei, Hao Lee, Hank Zhang, Kaicheng Yu, Ye Li, Chenyu Liu, Siyu Gao, Lihua Lu |
| 2025 | IROS | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | ECCV | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | CVPR | 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 |
| 2023 | ICASSP | Mendam: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition. | Qingheng Zhang, Haibo Ye, Kaicheng Yu |
| 2022 | CVPR | Knowledge Distillation via the Target-aware Transformer. | Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang |
| 2022 | ICLR | 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 |
| 2021 | CVPR | Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. | Kaicheng Yu, Ren Ranftl, Mathieu Salzmann |
| 2021 | ICCV | Pyramid Architecture Search for Real-Time Image Deblurring. | Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze |
| 2020 | CVPR | Generalized Class Incremental Learning. | Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings |
| 2020 | ECCV | The Eighth Visual Object Tracking VOT2020 Challenge Results. | Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kmrinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernndez, Alexander G. Hauptmann, Alireza Memarmoghadam, lvaro Garca-Martn, 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 Jremo 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, Jess Bescs, 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. Schn, 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 |
| 2020 | ICLR | Evaluating The Search Phase of Neural Architecture Search. | Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann |
| 2019 | ICCV | Recurrent U-Net for Resource-Constrained Segmentation. | Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann |
| 2019 | ICML | Overcoming Multi-model Forgetting. | Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat |
| 2018 | ECCV | Statistically-Motivated Second-Order Pooling. | Kaicheng Yu, Mathieu Salzmann |