百晓学者学者目录

陈辉

助理研究员,清华大学

精选作品

期刊论文

2026

Reversible self-intercalation in trilayer 1T-NiTe2

方迁,黄子豪,周润农,陶蕾,刘晨,韩相和,黄立,林晓,郭辉,陈辉,高鸿钧

Chinese Physics B

2026

具身智能数据采集与处理综述

丁贵广,朱晨,王潇婉,陈辉

《数据采集与处理》

2026

RA-CFGCache: From Branch-Level Criteria to Guided-Risk Control under Classifier-Free Guidance

Yi-Ming Liu, Ben Wan, Tongxuan Liu, Ao Wang, Yu-Qing Xiong, Fan Zhang, Hui Chen, Gui-Guang Ding

2026

DINO-PCB: Two-stage vision foundation model pretraining and distillation for real-time circuit-board defect detection

Jun-Jie Ke, Lihuo He, Jing Zhang, Haiming Wang, Yuqi Ji, Hui Chen, Jie Li, Si-Chen Zhao, Gui-Guang Ding, Xin-Bo Gao

Pattern Recognition

2026

What to Preserve in Recursive Computation: A Local Predictive Sufficiency Principle

Pei-Lin Wang, Shi-Yang Feng, Hong-Fu Gao, Cen-Cheng Zhao, Di Yuan, Hui Chen, Gui-Guang Ding

2025

DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning

Yiwen Liang, Hui Chen, Zijia Lin, Pengzhang Liu, Jiaxing Wang, Guoxin Wang, Lin Li, Sicheng Zhao, Jun-Gong Han, Gui-Guang Ding

IEEE Transactions on Image Processing

2025

YOLOE: Real-Time Seeing Anythi

Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

IEEE International Conference on Computer Vision

2025

Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization

Tianxiang Hao, Hui Chen, Gui-Guang Ding

International Joint Conference on Artificial Intelligence

2025

LSNet: See Large, Focus Small

Ao Wang, Hui Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

Computer Vision and Pattern Recognition

2024

Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning

Hui Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yu Quan, Jun-Gong Han, Gui-Guang Ding

AAAI Conference on Artificial Intelligence

2024

YOLOv10: Real-Time End-to-End Object Detection

Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

Neural Information Processing Systems

2024

PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation

Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jun-Gong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Gui-Guang Ding

European Conference on Computer Vision

2024

PrefixKV: Adaptive Prefix KV Cache is What Vision Instruction-Following Models Need for Efficient Generation

Ao Wang, Hui Chen, Jiaxi Li, Jian-Chao Tan, Ke-Feng Zhang, Xun-Liang Cai, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

Neural Information Processing Systems

2024

A Simple Confidence-Supervised Model for High-Resolution Defect Recognition

Hui Yang, Hui Chen, Fan Zhang, X. Tian, Luning Zhu, Gui-Guang Ding

International Conference on Robotics, Control and Automation

2024

YOLO-UniOW: Efficient Universal Open-World Object Detection

Lihao Liu, Juexiao Feng, Hui Chen, Ao Wang, Lin Song, Jun-Gong Han, Gui-Guang Ding

arXiv.org

2024

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

Mengyao Lyu, Tianxiang Hao, Xinhao Xu, Hui Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

European Conference on Computer Vision

2024

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection

Hui Yang, Hui Chen, Lihao Liu, Zijia Lin, Kai Chen, Lie-Jun Wang, Jun-Gong Han, Gui-Guang Ding

European Conference on Artificial Intelligence

2023

Rep ViT: Revisiting Mobile CNN From ViT Perspective

Ao Wang, Hui Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

Computer Vision and Pattern Recognition

2023

Box-Level Active Detection – Supplementary Material

Mengyao Lyu, Jun-Dong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yan-Dong Guo, Yu-Cheng Guo, Liuyu Xiang, Gui-Guang Ding

2023

Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels

Zixuan Ding, Ao Wang, Hui Chen, Q. Zhang, Pengzhang Liu, Yong-Jun Bao, Weipeng P. Yan, Jungong Han

Computer Vision and Pattern Recognition

2023

Towards Efficient Vision-Language Tuning: More Information Density, More Generalizability

Tianxiang Hao, Mengyao Lyu, Hui Chen, Sicheng Zhao, Xiaohan Ding, Jun-Gong Han, Gui-Guang Ding

2023

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation

Tian-Xiang Hao, Hui Chen, Yuchen Guo, Gui-Guang Ding

International Conference on Learning Representations

2023

RepViT-SAM: Towards Real-Time Segmenting Anything

Ao Wang, Hui Chen, Zijia Lin, Jun-Gong Han, Gui-Guang Ding

arXiv.org

2023

One-dimensional Adapter to Rule Them All: Concepts, Diffusion Models and Erasing Applications

Mengyao Lyu, Yu-Hong Yang, Hai-Wen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jun-Gong Han, Gui-Guang Ding

Computer Vision and Pattern Recognition

2023

Box-Level Active Detection

Mengyao Lyu, Jun-Dong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Gui-Guang Ding

Computer Vision and Pattern Recognition

2022

Ground Plane Matters: Picking Up Ground Plane Prior in Monocular 3D Object Detection

Fan Yang, Xinhao Xu, Hui Chen, Yuchen Guo, Jungong Han, K. Ni, Gui-Guang Ding

arXiv.org

2022

Contrastive Active Learning Under Class Distribution Mismatch

Pan Du, Hui Chen, Suyun Zhao, Shuwen Chai, Hong Chen, Cui-Ping Li

IEEE Transactions on Pattern Analysis and Machine Intelligence

2021

不同发展阶段下专利池创新的显著推动因素研究

张利飞,陈辉,苏梦遥

《科研管理》,Vol. 42, No. 3

2020

ACMNet

Hui Chen, Gui-Guang Ding, Zijia Lin, Si-Cheng Zhao, Xiao-Peng Gu, Wen-Yuan Xu, Jun-Gong Han

ACM Trans. Multim. Comput. Commun. Appl.

2020

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Hui Chen, Gui-Guang Ding, Xu-Dong Liu, Zijia Lin, Ji Liu, Jungong Han

Computer Vision and Pattern Recognition

2018

Temporal-Difference Learning With Sampling Baseline for Image Captioning

Hui Chen, Gui-Guang Ding, Si-Cheng Zhao, J. Han

AAAI Conference on Artificial Intelligence

2018

Attend to Knowledge: Memory-Enhanced Attention Network for Image Captioning

Hui Chen, Gui-Guang Ding, Zijia Lin, Yuchen Guo, J. Han

International Conference on Advances in Brain Inspired Cognitive Systems

2018

Show, Observe and Tell: Attribute-driven Attention Model for Image Captioning

Hui Chen, Gui-Guang Ding, Zijia Lin, Si-Cheng Zhao, J. Han

International Joint Conference on Artificial Intelligence

2018

Neural Image Caption Generation with Weighted Training and Reference

Gui-Guang Ding, Minghai Chen, Si-Cheng Zhao, Hui Chen, J. Han, Qiang Liu

Cognitive Computation

2017

Reference Based LSTM for Image Captioning

Minghai Chen, Gui-Guang Ding, Si-Cheng Zhao, Hui Chen, Qiang Liu, J. Han

AAAI Conference on Artificial Intelligence

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