Chen, Hui

48 publications

IJCAI 2025 Exploiting Position Information in Convolutional Kernels for Structural Re-Parameterization Tianxiang Hao, Hui Chen, Guiguang Ding

ICCV 2025 GazeGaussian: High-Fidelity Gaze Redirection with 3D Gaussian Splatting Xiaobao Wei, Peng Chen, Guangyu Li, Ming Lu, Hui Chen, Feng Tian

AAAI 2025 GraphAvatar: Compact Head Avatars with GNN-Generated 3D Gaussians Xiaobao Wei, Peng Chen, Ming Lu, Hui Chen, Feng Tian

CVPR 2025 LSNet: See Large, Focus Small Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

NeurIPS 2025 MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Research Hui Chen, Miao Xiong, Yujie Lu, Wei Han, Ailin Deng, Yufei He, Jiaying Wu, Yibo Li, Yue Liu, Bryan Hooi

NeurIPS 2025 PrefixKV: Adaptive Prefix KV Cache Is What Vision Instruction-Following Models Need for Efficient Generation Ao Wang, Hui Chen, Jianchao Tan, Kefeng Zhang, Xunliang Cai, Zijia Lin, Jungong Han, Guiguang Ding

AAAI 2025 Promptable Anomaly Segmentation with SAM Through Self-Perception Tuning Hui-Yue Yang, Hui Chen, Ao Wang, Kai Chen, Zijia Lin, Yongliang Tang, Pengcheng Gao, Yuming Quan, Jungong Han, Guiguang Ding

AAAI 2025 Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Hui Chen, Jungong Han, Guiguang Ding

ICLR 2025 SimpleTM: A Simple Baseline for Multivariate Time Series Forecasting Hui Chen, Viet Luong, Lopamudra Mukherjee, Vikas Singh

NeurIPS 2025 Single-Step Operator Learning for Conditioned Time-Series Diffusion Models Hui Chen, Vikas Singh

ICCV 2025 YOLOE: Real-Time Seeing Anything Ao Wang, Lihao Liu, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

AAAI 2024 Geometry-Guided Domain Generalization for Monocular 3D Object Detection Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding

ECCV 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, Jungong Han, Guiguang Ding

NeurIPS 2024 MM-WLAuslan: Multi-View Multi-Modal Word-Level Australian Sign Language Recognition Dataset Xin Shen, Heming Du, Hongwei Sheng, Shuyun Wang, Hui Chen, Huiqiang Chen, Zhuojie Wu, Xiaobiao Du, Jiaying Ying, Ruihan Lu, Qingzheng Xu, Xin Yu

ECCV 2024 MRSP: Learn Multi-Representations of Single Primitive for Compositional Zero-Shot Learning Dongyao Jiang, Hui Chen, Haodong Jing, Yongqiang Ma, Nanning Zheng

IJCAI 2024 More Is Better: Deep Domain Adaptation with Multiple Sources Sicheng Zhao, Hui Chen, Hu Huang, Pengfei Xu, Guiguang Ding

CVPR 2024 One-Dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications Mengyao Lyu, Yuhong Yang, Haiwen Hong, Hui Chen, Xuan Jin, Yuan He, Hui Xue, Jungong Han, Guiguang Ding

ECCV 2024 PYRA: Parallel Yielding Re-Activation for Training-Inference Efficient Task Adaptation Yizhe Xiong, Hui Chen, Tianxiang Hao, Zijia Lin, Jungong Han, Yuesong Zhang, Guoxin Wang, Yongjun Bao, Guiguang Ding

ECCV 2024 Quantized Prompt for Efficient Generalization of Vision-Language Models Tianxiang Hao, Xiaohan Ding, Juexiao Feng, Yuhong Yang, Hui Chen, Guiguang Ding

CVPR 2024 RepViT: Revisiting Mobile CNN from ViT Perspective Ao Wang, Hui Chen, Zijia Lin, Jungong Han, Guiguang Ding

NeurIPSW 2024 Sparsely Connected Layers for Financial Tabular Data Mohammed Abdulrahman, Hui Chen, Yin Wang

NeurIPS 2024 TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning Hui Chen, Yanbin Liu, Yongqiang Ma, Nanning Zheng, Xin Yu

IJCAI 2024 TaD: A Plug-and-Play Task-Aware Decoding Method to Better Adapt LLMs on Downstream Tasks Xinhao Xu, Hui Chen, Zijia Lin, Jungong Han, Lixing Gong, Guoxin Wang, Yongjun Bao, Guiguang Ding

AAAI 2024 Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation Hui Chen, Yinxu Jia, Guanghui Wang, Changliang Zou

NeurIPS 2024 YOLOv10: Real-Time End-to-End Object Detection Ao Wang, Hui Chen, Lihao Liu, Kai Chen, Zijia Lin, Jungong Han, Guiguang Ding

CVPR 2023 Box-Level Active Detection Mengyao Lyu, Jundong Zhou, Hui Chen, Yijie Huang, Dongdong Yu, Yaqian Li, Yandong Guo, Yuchen Guo, Liuyu Xiang, Guiguang Ding

ICCV 2023 Confidence-Based Visual Dispersal for Few-Shot Unsupervised Domain Adaptation Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding

ICLR 2023 Consolidator: Mergable Adapter with Group Connections for Visual Adaptation Tianxiang Hao, Hui Chen, Yuchen Guo, Guiguang Ding

CVPR 2023 Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels Zixuan Ding, Ao Wang, Hui Chen, Qiang Zhang, Pengzhang Liu, Yongjun Bao, Weipeng Yan, Jungong Han

AAAI 2023 Learning to Shape Rewards Using a Game of Two Partners David Mguni, Taher Jafferjee, Jianhong Wang, Nicolas Perez Nieves, Wenbin Song, Feifei Tong, Matthew E. Taylor, Tianpei Yang, Zipeng Dai, Hui Chen, Jiangcheng Zhu, Kun Shao, Jun Wang, Yaodong Yang

IJCAI 2022 Bridging the Gap Between Reality and Ideality of Entity Matching: A Revisting and Benchmark Re-Constrcution Tianshu Wang, Hongyu Lin, Cheng Fu, Xianpei Han, Le Sun, Feiyu Xiong, Hui Chen, Minlong Lu, Xiuwen Zhu

ICLRW 2022 From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer Xin Xie, Ningyu Zhang, Zhoubo Li, Shumin Deng, Hui Chen, Feiyu Xiong, Mosha Chen, Huajun Chen

AAAI 2022 Learning to Ask for Data-Efficient Event Argument Extraction (Student Abstract) Hongbin Ye, Ningyu Zhang, Zhen Bi, Shumin Deng, Chuanqi Tan, Hui Chen, Fei Huang, Huajun Chen

NeurIPS 2022 Neural-Symbolic Entangled Framework for Complex Query Answering Zezhong Xu, Wen Zhang, Peng Ye, Hui Chen, Huajun Chen

ICCV 2021 Contrastive Coding for Active Learning Under Class Distribution Mismatch Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li

NeurIPS 2020 A Variational Approach for Learning from Positive and Unlabeled Data Hui Chen, Fangqing Liu, Yin Wang, Liyue Zhao, Hao Wu

AAAI 2020 An Iterative Polishing Framework Based on Quality Aware Masked Language Model for Chinese Poetry Generation Liming Deng, Jie Wang, Hang-Ming Liang, Hui Chen, Zhiqiang Xie, Bojin Zhuang, Shaojun Wang, Jing Xiao

ICLR 2020 Beyond Supervised Learning: Recognizing Unseen Attribute-Object Pairs with Vision-Language Fusion and Attractor Networks Hui Chen, Zhixiong Nan, Nanning Zheng

AAAI 2020 Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources Qianhui Wu, Zijia Lin, Guoxin Wang, Hui Chen, Börje F. Karlsson, Biqing Huang, Chin-Yew Lin

AAAI 2019 GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition Hui Chen, Zijia Lin, Guiguang Ding, Jianguang Lou, Yusen Zhang, Börje Karlsson

IJCAI 2018 Show, Observe and Tell: Attribute-Driven Attention Model for Image Captioning Hui Chen, Guiguang Ding, Zijia Lin, Sicheng Zhao, Jungong Han

AAAI 2018 Temporal-Difference Learning with Sampling Baseline for Image Captioning Hui Chen, Guiguang Ding, Sicheng Zhao, Jungong Han

WACV 2017 Optimal Threshold and LoG Based Feature Identification and Tracking of Bat Flapping Flight Yousi Lin, Yang Xu, Hui Chen, Matthew J. Bender, A. Lynn Abbott, Rolf Müller

AAAI 2017 Reference Based LSTM for Image Captioning Minghai Chen, Guiguang Ding, Sicheng Zhao, Hui Chen, Qiang Liu, Jungong Han

CVPR 2015 3D Model-Based Continuous Emotion Recognition Hui Chen, Jiangdong Li, Fengjun Zhang, Yang Li, Hongan Wang

AAAI 2008 Learning Sparse Kernels from 3D Surfaces for Heart Wall Motion Abnormality Detection Glenn Fung, Sriram Krishnan, R. Bharat Rao, Hui Chen

CVPR 2005 Shape Model-Based 3D Ear Detection from Side Face Range Images Hui Chen, Bir Bhanu

CVPRW 2005 Shape Model-Based 3D Ear Detection from Side Face Range Images Hui Chen, Bir Bhanu