Zehui Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
15
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | UniCorn: Towards Self-Improving Unified Multimodal Models through Self-Generated Supervision. | Zhen Fang, Ruiyan Han, XinYu Sun, Yuchen Ma, Ziheng Wang, Yu Zeng, Zehui Chen, Lin Chen, Wenxuan Huang, Wei-Jie Xu, Yi Cao, Feng Zhao |
| 2026 | ACL | Beyond Accuracy: Unveiling Inefficiency Patterns in Tool-Integrated Reasoning. | Qisheng Su, Shiting Huang, Zhen Fang, Ziyan Chen, Zehui Chen, Feng Zhao |
| 2026 | ACL | Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models. | Shun Zou, Yong Wang, Zehui Chen, Lin Chen, Chongyang Tao, Feng Zhao, Xiangxiang Chu |
| 2025 | AAAI | VFM-Adapter: Adapting Visual Foundation Models for Dense Prediction with Dynamic Hybrid Operation Mapping. | Zheng Chen, Yu Zeng, Zehui Chen, Hongzhi Gao, Lin Chen, Jiaming Liu, Feng Zhao |
| 2025 | AAAI | LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding. | Senqiao Yang, Jiaming Liu, Renrui Zhang, Mingjie Pan, Ziyu Guo, Xiaoqi Li, Zehui Chen, Peng Gao, Hongsheng Li, Yandong Guo, Shanghang Zhang |
| 2025 | ACL | ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use. | Junjie Ye, Zhengyin Du, Xuesong Yao, Weijian Lin, Yufei Xu, Zehui Chen, Zaiyuan Wang, Sining Zhu, Zhiheng Xi, Siyu Yuan, Tao Gui, Qi Zhang, Xuanjing Huang, Jiecao Chen |
| 2025 | CLUSTER | Revisiting Fragmentation for Deduplication in Clustered Primary Storage Systems. | Lin Wang, Yuchong Hu, Shilong Mao, Mingqi Li, Ziling Duan, Yue Huang, Leihua Qin, Dan Feng, Zehui Chen, Ruliang Dong |
| 2025 | EMNLP | CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios. | Shiting Huang, Zhen Fang, Zehui Chen, Siyu Yuan, Junjie Ye, Yu Zeng, Lin Chen, Qi Mao, Feng Zhao |
| 2025 | EMNLP | ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents. | Qiuchen Wang, Ruixue Ding, Zehui Chen, Weiqi Wu, Shihang Wang, Pengjun Xie, Feng Zhao |
| 2025 | EMNLP | Enhancing Large Vision-Language Models with Ultra-Detailed Image Caption Generation. | Yu Zeng, Yukun Qi, Yiming Zhao, Xikun Bao, Lin Chen, Zehui Chen, Shiting Huang, Jie Zhao, Feng Zhao |
| 2025 | ICLR | MindSearch: Mimicking Human Minds Elicits Deep AI Searcher. | Zehui Chen, Kuikun Liu, Qiuchen Wang, Jiangning Liu, Wenwei Zhang, Kai Chen, Feng Zhao |
| 2025 | ICLR | MMSearch: Unveiling the Potential of Large Models as Multi-modal Search Engines. | Dongzhi Jiang, Renrui Zhang, Ziyu Guo, Yanmin Wu, Jiayi Lei, Pengshuo Qiu, Pan Lu, Zehui Chen, Guanglu Song, Peng Gao, Yu Liu, Chunyuan Li, Hongsheng Li |
| 2025 | ICLR | PseDet: Revisiting the Power of Pseudo Label in Incremental Object Detection. | Qiuchen Wang, Zehui Chen, Chenhongyi Yang, Jiaming Liu, Zhenyu Li, Feng Zhao |
| 2024 | AAAI | Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection. | Hongzhi Gao, Zheng Chen, Zehui Chen, Lin Chen, Jiaming Liu, Shanghang Zhang, Feng Zhao |
| 2024 | AAAI | Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction. | Senqiao Yang, Jiarui Wu, Jiaming Liu, Xiaoqi Li, Qizhe Zhang, Mingjie Pan, Yulu Gan, Zehui Chen, Shanghang Zhang |
| 2024 | ACL | T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step. | Zehui Chen, Weihua Du, Wenwei Zhang, Kuikun Liu, Jiangning Liu, Miao Zheng, Jingming Zhuo, Songyang Zhang, Dahua Lin, Kai Chen, Feng Zhao |
| 2024 | ACL | Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models. | Zehui Chen, Kuikun Liu, Qiuchen Wang, Wenwei Zhang, Jiangning Liu, Dahua Lin, Kai Chen, Feng Zhao |
| 2024 | BMVC | PlainMamba: Improving Non-Hierarchical Mamba in Visual Recognition. | Chenhongyi Yang, Zehui Chen, Miguel Espinosa, Linus Ericsson, Zhenyu Wang, Jiaming Liu, Elliot J. Crowley |
| 2024 | CVPR | Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation. | Jiaming Liu, Ran Xu, Senqiao Yang, Renrui Zhang, Qizhe Zhang, Zehui Chen, Yandong Guo, Shanghang Zhang |
| 2024 | ECCV | Stream Query Denoising for Vectorized HD-Map Construction. | Shuo Wang, Fan Jia, Weixin Mao, Yingfei Liu, Yucheng Zhao, Zehui Chen, Tiancai Wang, Chi Zhang, Xiangyu Zhang, Feng Zhao |
| 2024 | ICRA | BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection. | Jiaming Liu, Rongyu Zhang, Xiaoqi Li, Xiaowei Chi, Zehui Chen, Ming Lu, Yandong Guo, Shanghang Zhang |
| 2024 | ICRA | Distribution-Aware Continual Test-Time Adaptation for Semantic Segmentation. | Jiayi Ni, Senqiao Yang, Ran Xu, Jiaming Liu, Xiaoqi Li, Wenyu Jiao, Zehui Chen, Yi Liu, Shanghang Zhang |
| 2023 | CVPR | Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View. | Shuo Wang, Xinhai Zhao, Hai-Ming Xu, Zehui Chen, Dameng Yu, Jiahao Chang, Zhen Yang, Feng Zhao |
| 2023 | ICASSP | CANDY: Category-Kernelized Dynamic Convolution for Instance Segmentation. | Yao Lu, Zhiyi Chen, Zehui Chen, Jie Hu, Liujuan Cao, Shengchuan Zhang |
| 2023 | ICCV | DETRDistill: A Universal Knowledge Distillation Framework for DETR-families. | Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao |
| 2023 | ICCV | Learning with Noisy Data for Semi-Supervised 3D Object Detection. | Zehui Chen, Zhenyu Li, Shuo Wang, Dengpan Fu, Feng Zhao |
| 2023 | ICLR | BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object Detection. | Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao |
| 2022 | AAAI | SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations. | Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang, Bolei Zhou, Hang Zhao |
| 2022 | ECCV | Deformable Feature Aggregation for Dynamic Multi-modal 3D Object Detection. | Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao |
| 2022 | ECCV | Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. | Andrey Ignatov, Grigory Malivenko, Radu Timofte, Lukasz Treszczotko, Xin Chang, Piotr Ksiazek, Michal Lopuszynski, Maciej Pioro, Rafal Rudnicki, Maciej Smyl, Yujie Ma, Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang, XueChao Shi, Difan Xu, Yanan Li, Xiaotao Wang, Lei Lei, Ziyu Zhang, Yicheng Wang, Zilong Huang, Guozhong Luo, Gang Yu, Bin Fu, Jiaqi Li, Yiran Wang, Zihao Huang, Zhiguo Cao, Marcos V. Conde, Denis Sapozhnikov, Byeong Hyun Lee, Dongwon Park, Seongmin Hong, Joonhee Lee, Seunggyu Lee, Se Young Chun |
| 2022 | ECCV | Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-training. | Zhenyu Li, Zehui Chen, Ang Li, Liangji Fang, Qinhong Jiang, Xianming Liu, Junjun Jiang |
| 2022 | ECCV | LiteDepth: Digging into Fast and Accurate Depth Estimation on Mobile Devices. | Zhenyu Li, Zehui Chen, Jialei Xu, Xianming Liu, Junjun Jiang |
| 2022 | IJCAI | AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection. | Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang, Feng Zhao, Bolei Zhou, Hang Zhao |
| 2020 | GLOBECOM | Write and Read Channel Models for 1S1R Crossbar Resistive Memory with High Line Resistance. | Zehui Chen, Lara Dolecek |
| 2018 | CVPR | Stacked U-Nets With Multi-Output for Road Extraction. | Tao Sun, Zehui Chen, Wenxiang Yang, Yin Wang |
| 2018 | ITW | Coding Assisted Adaptive Thresholding for Sneak-Path Mitigation in Resistive Memories. | Zehui Chen, Clayton Schoeny, Lara Dolecek |
| 2017 | ACSSC | A coding scheme for reliable in-memory hamming distance computation. | Zehui Chen, Clayton Schoeny, Yuval Cassuto, Lara Dolecek |