Second-order Convolutional Neural Networks. - Kaicheng Yu; Mathieu Salzmann (CoRR, 2017)

Statistically-Motivated Second-Order Pooling. - Kaicheng Yu; Mathieu Salzmann (ECCV (7), 2018)

Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. - Wei Wang 108; Kaicheng Yu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann (CoRR, 2018)

Recurrent U-Net for Resource-Constrained Segmentation. - Wei Wang 108; Kaicheng Yu; Joachim Hugonot; Pascal Fua; Mathieu Salzmann (ICCV, 2019)

Overcoming Multi-model Forgetting. - Yassine Benyahia; Kaicheng Yu; Kamil Bennani-Smires; Martin Jaggi; Anthony C. Davison; Mathieu Salzmann; Claudiu Musat (ICML, 2019)

Generalized Class Incremental Learning. - Fei Mi; Lingjing Kong 001; Tao Lin 004; Kaicheng Yu; Boi Faltings (CVPR Workshops, 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; et al. (ECCV Workshops (5), 2020)

Evaluating The Search Phase of Neural Architecture Search. - Kaicheng Yu; Christian Sciuto; Martin Jaggi; Claudiu Musat; Mathieu Salzmann (ICLR, 2020)

A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node. - Kun Hao; Qixin Xue; Cheng Li 005; Kaicheng Yu (IEEE Access, 2020)

How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (CoRR, 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)

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)

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (CVPR, 2021)

Pyramid Architecture Search for Real-Time Image Deblurring. - Xiaobin Hu; Wenqi Ren; Kaicheng Yu; Kaihao Zhang; Xiaochun Cao; Wei Liu 005; Bjoern H. Menze (ICCV, 2021)

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search. - Kaicheng Yu (2021)

Knowledge Distillation via the Target-aware Transformer. - Sihao Lin; Hongwei Xie; Bing Wang 013; Kaicheng Yu; Xiaojun Chang; Xiaodan Liang; Gang Wang (CVPR, 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 (ICLR, 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 001 (NeurIPS, 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; et al. (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)

α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling. - Bicheng Guo; Shuxuan Guo; Miaojing Shi; Peng Cheng 001; Shibo He; Jiming Chen 001; Kaicheng Yu (CoRR, 2022)

An Analysis of Super-Net Heuristics in Weight-Sharing NAS. - Kaicheng Yu; René Ranftl; Mathieu Salzmann (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. - Lei Yang 060; Kaicheng Yu; Tao Tang; Jun Li 082; Kun Yuan 001; Li Wang 092; Xinyu Zhang 001; Peng Chen (CVPR, 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 (CVPR Workshops, 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 001 (CVPR, 2023)

Mendam: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition. - Qingheng Zhang; Haibo Ye; Kaicheng Yu (ICASSP, 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)

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 001 (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; et al. (CoRR, 2023)

BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout. - Kairui Yang; Enhui Ma; Jibin Peng; Qing Guo 005; Di Lin 002; 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; et al. (CoRR, 2023)

BEVHeight++: Toward Robust Visual Centric 3D Object Detection. - Lei Yang 060; Tao Tang; Jun Li 082; Peng Chen; Kun Yuan 001; Li Wang 092; Yi Huang 038; Xinyu Zhang 001; Kaicheng Yu (CoRR, 2023)

Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property. - Kaicheng Yu; Qiang Gao 016; Jingfeng Xu; Liang Liu; Lizi Qi; Yuheng Guan; Yifeng Yao; Fangzheng Chen; Peng Zhang; YongDan Liu; Lihua Lu (Comput. Biol. Medicine, 2023)

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 (CVPR, 2024)

Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training. - Xiaoyang Wu 002; Zhuotao Tian; Xin Wen 004; Bohao Peng; Xihui Liu; Kaicheng Yu; Hengshuang Zhao (CVPR, 2024)

OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. - Hu Zhang 005; Jianhua Xu; Tao Tang; Haiyang Sun; Xin Yu 002; Zi Huang; Kaicheng Yu (ECCV (84), 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 (ACM Multimedia, 2024)

Tutorial: Large Language-Vision Model in Society. - Kaicheng Yu; Zhuang Shao; Siyuan Qi; Dongfang Liu (ACM Multimedia, 2024)

LiT: Unifying LiDAR "Languages" with LiDAR Translator. - Yixing Lao; Tao Tang; Xiaoyang Wu 002; Peng Chen; Kaicheng Yu; Hengshuang Zhao (NeurIPS, 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)

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 002; 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)

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)

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; et al. (CoRR, 2024)

Baichuan-Omni Technical Report. - Yadong Li; Haoze Sun; Mingan Lin; Tianpeng Li; Guosheng Dong; Tao Zhang 001; Bowen Ding; Wei Song; Zhenglin Cheng; Yuqi Huo; Song Chen; Xu Li; et al. (CoRR, 2024)

PatentAgent: 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)

Investigation of the temperature gradient control in the printing space for the material extrusion of medical biodegradable hydrogel. - Kaicheng Yu; Qiang Gao 016; Zexue Lin; Fei Wang; Peng Zhang; YongDan Liu; Lihua Lu (Comput. Biol. Medicine, 2024)

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 031; Guozheng Rao; Kaicheng Yu (ACL (1), 2025)

Semantic-DARTS: Elevating Semantic Learning for Mobile Differentiable Architecture Search. - Bicheng Guo; Shibo He; Miaojing Shi; Kaicheng Yu; Jiming Chen 001; Xuemin Shen (IEEE Internet Things J., 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 031; Guozheng Rao; Kaicheng Yu (CoRR, 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 021; Yi Chen; Zhen Dong; Yasset Pérez-Riverol; et al. (CoRR, 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, 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, 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; et al. (CoRR, 2025)

Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better. - Dianyi Wang; Wei Song; Yikun Wang; Siyuan Wang; Kaicheng Yu; Zhongyu Wei; Jiaqi Wang (CoRR, 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, 2025)

BEVHeight++: Toward Robust Visual Centric 3D Object Detection. - Lei Yang 060; Tao Tang; Jun Li 082; Kun Yuan 001; Kai Wu; Peng Chen; Li Wang 092; Yi Huang 038; Lei Li; Xinyu Zhang 001; Kaicheng Yu (IEEE Trans. Pattern Anal. Mach. Intell., 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; et al. (CoRR, 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, 2025)

CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting. - Haoran Xu 003; Saining Zhang; Peishuo Li; Baijun Ye; Xiaoxue Chen; Huan-ang Gao; Jv Zheng; Xiaowei Song; Ziqiao Peng; Run Miao; Jinrang Jia; Yifeng Shi; et al. (CoRR, 2025)