Publications
Selected publications, arranged by year.
The 2021–2026 entries below were checked against DBLP and official proceedings where available. Selected work from 2020 and earlier follows in one archive. For the complete and most current bibliography, see DBLP or Google Scholar.
Selected publications
2026
2D Gaussians Spatial Transport for Point-supervised Density Regression
Miao Shang, Xiaopeng Hong.
AAAI, 2026.
A Survey on Deep Learning for Group-Level Emotion Recognition
Xiaohua Huang, Xiaopeng Hong, Qirong Mao, Wenming Zheng, Abhinav Dhall.
IEEE Transactions on Computational Social Systems, 2026.
Asymmetric modal fusion for multi-modal crowd counting
Chenhao Wang, Xiaopeng Hong, Zhiheng Ma, Yabin Wang, Yupeng Wei, Jinpeng Zhang.
Pattern Recognition, 2026.
Cluster-Wise Spatio-Temporal Masking for Efficient Video-Language Pretraining
Weijun Zhuang, Yuqing Huang, Weikang Meng, Xin Li, Ming Liu, Xiaopeng Hong, Yaowei Wang, Wangmeng Zuo.
CVPR, 2026.
Continual Conceptual Entity Learning for Text-to-Image Generative Models
Yabin Wang, Xiaopeng Hong, Zhiheng Ma, Zhou Su, Jinpeng Zhang, Zhiwu Huang.
IEEE Transactions on Multimedia, 2026.
Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging
Zhilin Zhu, Yabin Wang, Zhiheng Ma, Yaguang Song, Yaowei Wang, Xiaopeng Hong.
CVPR, 2026.
Dual-Attention based prompt generation and catalyzing for instance-wise continual learning
Yong Dai, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Jinfeng Yang, Dongmei Jiang, Yaowei Wang.
Pattern Recognition, 2026.
Hierarchical Concept Bottleneck With Compensation Concept Learning
Chenhao Wang, Miao Shang, Kaige Mao, Xiaopeng Hong, Jinpeng Zhang, Xuhui Huang.
IEEE Transactions on Multimedia, 2026.
Language Supervised Multi-Camera Multi-Object Tracking
Kaige Mao, Xiaopeng Hong, Xiaopeng Fan, Wangmeng Zuo.
IEEE Transactions on Image Processing, 2026.
Linguistic profiling of deepfakes: An open database for next-Generation deepfake detection
Yabin Wang, Xiaopeng Hong, Yaqi Li, Zhiheng Ma, Zhiwu Huang.
Pattern Recognition, 2026.
Penny-Wise and Pound-Foolish in AI-Generated Image Detection
Yabin Wang, Zhiwu Huang, Zhou Su, Adam Prügel-Bennett, Xiaopeng Hong.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.
Sample-Aware Knowledge Association and Enhancement for Open-Vocabulary Continual Learning
Zhilin Zhu, Zhiheng Ma, Yabin Wang, Yaguang Song, Yaowei Wang, Xiaopeng Hong.
International Journal of Computer Vision, 2026.
Task Memory Sinkhorn Neuralization under varying measure distributions
Yupeng Wei, Xiaopeng Hong, Shuangxiu Li, Wangmeng Zuo, Xiaopeng Fan.
Pattern Recognition, 2026.
Time Series Forecasting via Direct Per-Step Probability Distribution Modeling
Linghao Kong, Xiaopeng Hong.
AAAI, 2026.
2025
A Swiss Army Knife for Tracking by Natural Language Specification
Kaige Mao, Xiaopeng Hong, Xiaopeng Fan, Wangmeng Zuo.
IEEE Transactions on Image Processing, 2025.
Agent-MER: A Cognitive Agent with Hierarchical Deliberation for Open-Vocabulary Multimodal Emotion Recognition
Zhengqin Lai, Zhilin Zhu, Xiaopeng Hong, Yaowei Wang.
ACM Multimedia, 2025.
ComprehendEdit: A Comprehensive Dataset and Evaluation Framework for Multimodal Knowledge Editing
Yaohui Ma, Xiaopeng Hong, Shizhou Zhang, Huiyun Li, Zhilin Zhu, Wei Luo, Zhiheng Ma.
AAAI, 2025.
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Miao Shang, Yu Zhou.
AAAI, 2025.
Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence
Lixuan Zhang, Jianzhuang Zhao, Edoardo Lamon, Yabin Wang, Xiaopeng Hong.
IEEE Transactions on Automation Science and Engineering, 2025.
Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization
Yawen Cui, Li Liu, Zitong Yu, Guanjie Huang, Xiaopeng Hong.
AAAI, 2025.
Free Lunch Enhancements for Multi-modal Crowd Counting
Haoliang Meng, Xiaopeng Hong, Zhengqin Lai, Miao Shang.
CVPR, 2025.
Image Captioning via Dynamic Path Customization
Yiwei Ma, Jiayi Ji, Xiaoshuai Sun, Yiyi Zhou, Xiaopeng Hong, Yongjian Wu, Rongrong Ji.
IEEE Transactions on Neural Networks and Learning Systems, 2025.
Joint Memory Optimization for Continual Learning
Zhiheng Ma, Yaohui Ma, Xiaopeng Hong, Huiyun Li, Shizhou Zhang.
IEEE Transactions on Circuits and Systems for Video Technology, 2025.
Multi-Scale Spiking Pyramid Wireless Communication Framework for Food Recognition
Wenrui Li, Jiahui Li, Mengyao Ma, Xiaopeng Hong, Xiaopeng Fan.
IEEE Transactions on Multimedia, 2025.
Multidimensional Measure Matching for Crowd Counting
Hui Lin, Xiaopeng Hong, Zhiheng Ma, Yaowei Wang, Deyu Meng.
IEEE Transactions on Neural Networks and Learning Systems, 2025.
OpenSDI: Spotting Diffusion-Generated Images in the Open World
Yabin Wang, Zhiwu Huang, Xiaopeng Hong.
CVPR, 2025.
Perspective-assisted prototype-based learning for semi-supervised crowd counting
Yifei Qian, Liangfei Zhang, Zhongliang Guo, Xiaopeng Hong, Ognjen Arandjelovic, Carl R. Donovan.
Pattern Recognition, 2025.
Prompt Customization for Continual Learning
Yong Dai, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Dongmei Jiang, Yaowei Wang.
IEEE Transactions on Artificial Intelligence, 2025.
Robust and Rotation-Equivariant Contrastive Learning
Gairui Bai, Wei Xi, Xiaopeng Hong, Xinhui Liu, Yang Yue, Songwen Zhao.
IEEE Transactions on Neural Networks and Learning Systems, 2025.
Semi-Supervised Counting via Pixel-by-Pixel Density Distribution Modeling
Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Zhou Su, Xiaopeng Hong, Deyu Meng.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
Spatial-Temporal Saliency Guided Unbiased Contrastive Learning for Video Scene Graph Generation
Weijun Zhuang, Bowen Dong, Zhilin Zhu, Zhijun Li, Jie Liu, Yaowei Wang, Xiaopeng Hong, Xin Li, Wangmeng Zuo.
IEEE Transactions on Multimedia, 2025.
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Yu Zhou.
AAAI, 2025.
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
Yifei Qian, Zhongliang Guo, Bowen Deng, Chun Tong Lei, Shuai Zhao, Chun Pong Lau, Xiaopeng Hong, Michael P. Pound.
CVPR, 2025.
2024
Boosting Semi-supervised Crowd Counting with Scale-based Active Learning
Shiwei Zhang, Wei Ke, Shuai Liu, Xiaopeng Hong, Tong Zhang.
ACM Multimedia, 2024.
Brain Cognition-Inspired Dual-Pathway CNN Architecture for Image Classification
Songlin Dong, Yihong Gong, Jingang Shi, Miao Shang, Xiaoyu Tao, Xing Wei, Xiaopeng Hong, Tiangang Zhou.
IEEE Transactions on Neural Networks and Learning Systems, 2024.
Deep Class-Incremental Learning From Decentralized Data
Xiaohan Zhang, Songlin Dong, Jinjie Chen, Qi Tian, Yihong Gong, Xiaopeng Hong.
IEEE Transactions on Neural Networks and Learning Systems, 2024.
Exploiting Multi-Scale Parallel Self-Attention and Local Variation via Dual-Branch Transformer-CNN Structure for Face Super-Resolution
Jingang Shi, Yusi Wang, Zitong Yu, Guanxin Li, Xiaopeng Hong, Fei Wang, Yihong Gong.
IEEE Transactions on Multimedia, 2024.
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection
Hang Yao, Ming Liu, Zhicun Yin, Zifei Yan, Xiaopeng Hong, Wangmeng Zuo.
ECCV, 2024.
Gramformer: Learning Crowd Counting via Graph-Modulated Transformer
Hui Lin, Zhiheng Ma, Xiaopeng Hong, Qinnan Shangguan, Deyu Meng.
AAAI, 2024.
Multi-modal Crowd Counting via a Broker Modality
Haoliang Meng, Xiaopeng Hong, Chenhao Wang, Miao Shang, Wangmeng Zuo.
ECCV, 2024.
Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation
Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma, Weijun Zhuang, Yaohui Ma, Yong Dai, Yaowei Wang.
ECCV, 2024.
Semi-Supervised Crowd Counting With Contextual Modeling: Facilitating Holistic Understanding of Crowd Scenes
Yifei Qian, Xiaopeng Hong, Zhongliang Guo, Ognjen Arandjelovic, Carl R. Donovan.
IEEE Transactions on Circuits and Systems for Video Technology, 2024.
2023
Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference
Yabin Wang, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, Xiaopeng Hong.
AAAI, 2023.
Model Behavior Preserving for Class-Incremental Learning
Yu Liu, Xiaopeng Hong, Xiaoyu Tao, Songlin Dong, Jingang Shi, Yihong Gong.
IEEE Transactions on Neural Networks and Learning Systems, 2023.
One-Shot Replay: Boosting Incremental Object Detection via Retrospecting One Object
Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Weiping Wang.
AAAI, 2023.
Pseudo Object Replay and Mining for Incremental Object Detection
Dongbao Yang, Yu Zhou, Xiaopeng Hong, Aoting Zhang, Xin Wei, Linchengxi Zeng, Zhi Qiao, Weiping Wang.
ACM Multimedia, 2023.
Semi-Supervised Crowd Counting via Multiple Representation Learning
Xing Wei, Yunfeng Qiu, Zhiheng Ma, Xiaopeng Hong, Yihong Gong.
IEEE Transactions on Image Processing, 2023.
2022
Boosting Crowd Counting via Multifaceted Attention
Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong.
CVPR, 2022.
Cross-Database Micro-Expression Recognition: A Benchmark
Tong Zhang, Yuan Zong, Wenming Zheng, C. L. Philip Chen, Xiaopeng Hong, Chuangao Tang, Zhen Cui, Guoying Zhao.
IEEE Transactions on Knowledge and Data Engineering, 2022.
Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation
Pingyang Dai, Peixian Chen, Qiong Wu, Xiaopeng Hong, Qixiang Ye, Qi Tian, Chia-Wen Lin, Rongrong Ji.
IEEE Transactions on Image Processing, 2022.
Identity-Quantity Harmonic Multi-Object Tracking
Yuhang He, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong.
IEEE Transactions on Image Processing, 2022.
Semi-supervised Crowd Counting via Density Agency
Hui Lin, Zhiheng Ma, Xiaopeng Hong, Yaowei Wang, Zhou Su.
ACM Multimedia, 2022.
Short and Long Range Relation Based Spatio-Temporal Transformer for Micro-Expression Recognition
Liangfei Zhang, Xiaopeng Hong, Ognjen Arandjelovic, Guoying Zhao.
IEEE Transactions on Affective Computing, 2022.
2021
Aha! Adaptive History-driven Attack for Decision-based Black-box Models
Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu.
ICCV, 2021.
Analogy-Detail Networks for Object Recognition
Xiaoyu Tao, Xiaopeng Hong, Weiwei Shi, Xinyuan Chang, Yihong Gong.
IEEE Transactions on Neural Networks and Learning Systems, 2021.
Beyond Universal Person Re-Identification Attack
Wenjie Ding, Xing Wei, Rongrong Ji, Xiaopeng Hong, Qi Tian, Yihong Gong.
IEEE Transactions on Information Forensics and Security, 2021.
Direct Measure Matching for Crowd Counting
H. Lin, X. Hong, Z. Ma, X. Wei, Y. Qiu, Y. Wang, Y. Gong.
IJCAI, 2021.
Error-Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting
Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong.
AAAI, 2021.
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong.
AAAI, 2021.
Image-to-Image Translation via Hierarchical Style Disentanglement
Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji.
CVPR, 2021.
Learning to Count via Unbalanced Optimal Transport
Zhiheng Ma, Xing Wei, Xiaopeng Hong, Hui Lin, Yunfeng Qiu, Yihong Gong.
AAAI, 2021.
Towards A Universal Model for Cross-Dataset Crowd Counting
Zhiheng Ma, Xiaopeng Hong, Xing Wei, Yunfeng Qiu, Yihong Gong.
ICCV, 2021.
Tripool: Graph triplet pooling for 3D skeleton-based action recognition
Wei Peng, Xiaopeng Hong, Guoying Zhao.
Pattern Recognition, 2021.
2020 and earlier
Transductive semi-supervised metric learning for person re-identification
X. Chang, Z. Ma, X. Wei, X. Hong, Y. Gong.
Pattern Recognition, 2020.
Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment
Y. He, X. Wei, X. Hong, W. Shi, Y. Gong.
IEEE Transactions on Image Processing, 2020.
Co-Attentive Lifting for Infrared-Visible Person Re-Identification
X. Wei, D. Li, X. Hong, W. Ke, Y. Gong.
ACM Multimedia, 2020.
Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting
Z. Ma, X. Wei, X. Hong, Y. Gong.
ACM Multimedia, 2020.
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering
Y. Zhou, R. Ji, X. Sun, G. Luo, X. Hong, J. Su, X. Ding, L. Shao.
ACM Multimedia, 2020.
Topology-Preserving Class-Incremental Learning
X. Tao, X. Chang, X. Hong, X. Wei, Y. Gong.
ECCV, 2020.
Few-Shot Class-Incremental Learning
X. Tao, X. Hong, X. Chang, X. Wei, Y. Gong.
CVPR, 2020.
Noise-Aware Fully Webly Supervised Object Detection
Y. Shen, R. Ji, Z. Chen, X. Hong, F. Zheng, J. Liu, M. Xu, Q. Tian.
CVPR, 2020.
Bi-objective Continual Learning: Learning ‘New’ while Consolidating ‘Known’
X. Tao, X. Hong, X. Chang, Y. Gong.
AAAI, 2020.
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
D. Li, X. Wei, X. Hong, Y. Gong.
AAAI, 2020.
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching
W. Peng, X. Hong, H. Chen, G. Zhao.
AAAI, 2020.
Introduction to Cognitive Science and Brain-Computer Interface (in Chinese)
Yihong Gong, Xiaopeng Hong.
Book · Xi’dian University Press, 2020.
Characterizing Subtle Facial Movements via Riemannian Manifold
X. Hong, W. Peng, M. Harandi, Z. Zhou, M. Pietikäinen, G. Zhao.
ACM Transactions on Multimedia Computing, Communications, and Applications, 2019.
Saliency integration: An arbitrator model
Y. Xu, X. Hong, F. Porikli, X. Liu, J. Chen, G. Zhao.
IEEE Transactions on Multimedia, 2019.
Bayesian Loss for Crowd Count Estimation with Point Supervision
Z. Ma, X. Wei, X. Hong, Y. Gong.
ICCV, 2019.
Universal Perturbation Attacking against Image Retrieval
J. Li, R. Ji, H. Liu, X. Hong, Y. Gao, Q. Tian.
ICCV, 2019.
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Z. Yu, W. Peng, X. Li, X. Hong, G. Zhao.
ICCV, 2019.
Structured Modeling of Joint Deep Feature and Prediction Refinement for Salient Object Detection
Y. Xu, D. Xu, X. Hong, W. Ouyang, R. Ji, M. Xu, G. Zhao.
ICCV, 2019.
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods
Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Thomas Pfister, Guoying Zhao, Matti Pietikäinen.
IEEE Transactions on Affective Computing, 2018. MIT Technology Review · Daily Mail
Hierarchical Contour Closure based Holistic Salient Object Detection
Qing Liu, Xiaopeng Hong, Beiji Zou, Jie Chen, Zailiang Chen, Guoying Zhao.
IEEE Transactions on Image Processing, 2017.
Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video
Jing Zhou, Xiaopeng Hong, Fei Su, Guoying Zhao.
CVPR Workshop on Affect in the Wild, 2016.
A Compact Representation of Visual Speech Data Using Latent Variables
Ziheng Zhou, Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen.
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014.
Combining LBP Difference and Feature Correlation for Texture Description
Xiaopeng Hong, Guoying Zhao, Matti Pietikäinen, Xilin Chen.
IEEE Transactions on Image Processing, 2014.
An Immersive Fire Training System Using Kinect
Qiuhai He, Xiaopeng Hong, Guoying Zhao, Xinyuan Huang.
UbiComp, 2014.
Sigma set: A small second order statistical region descriptor
Xiaopeng Hong, Hong Chang, Shiguang Shan, Xilin Chen, Wen Gao.
CVPR, 2009.