Deep memory network with Bi-LSTM for personalized context-aware citation recommendation. - Jie Wang 072; Li Zhu 003; Tao Dai 002; Yabin Wang 001 (Neurocomputing, 2020)

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. - Zhihao Liu; Zhijian He; Lujia Wang 001; Wenguan Wang; Yixuan Yuan; Dingwen Zhang; Jinglin Zhang 001; Pengfei Zhu 001; Luc Van Gool; Junwei Han 001; Steven C. H. Hoi; Qinghua Hu; et al. (ICCVW, 2021)

A Hardware-adaptive Deep Feature Matching Pipeline for Real-time 3D Reconstruction. - Shuai Zheng; Yabin Wang 001; Baotong Li; Xin Li 003 (Comput. Aided Des., 2021)

Object Counting: You Only Need to Look at One. - Hui Lin; Xiaopeng Hong; Yabin Wang 001 (CoRR, 2021)

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for Domain Incremental Learning. - Yabin Wang 001; Zhiwu Huang; Xiaopeng Hong (NeurIPS, 2022)

ECCNAS: Efficient Crowd Counting Neural Architecture Search. - Yabin Wang 001; Zhiheng Ma; Xing Wei 001; Shuai Zheng; Yaowei Wang 001; Xiaopeng Hong (ACM Trans. Multim. Comput. Commun. Appl., 2022)

Isolation and Impartial Aggregation: A Paradigm of Incremental Learning without Interference. - Yabin Wang 001; Zhiheng Ma; Zhiwu Huang; Yaowei Wang 001; Zhou Su 001; Xiaopeng Hong (AAAI, 2023)

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials. - Chuqiao Li; Zhiwu Huang; Danda Pani Paudel; Yabin Wang 001; Mohamad Shahbazi; Xiaopeng Hong; Luc Van Gool (WACV, 2023)

Benchmarking Deepart Detection. - Yabin Wang 001; Zhiwu Huang; Xiaopeng Hong (CoRR, 2023)

Towards Practical Multi-Robot Hybrid Tasks Allocation for Autonomous Cleaning. - Yabin Wang 001; Xiaopeng Hong; Zhiheng Ma; Tiedong Ma; Baoxing Qin; Zhou Su 001 (CoRR, 2023)

Remind of the Past: Incremental Learning with Analogical Prompts. - Zhiheng Ma; Xiaopeng Hong; Beinan Liu; Yabin Wang 001; Pinyue Guo; Huiyun Li (CoRR, 2023)

Multi-modal Crowd Counting via Modal Emulation. - Chenhao Wang; Xiaopeng Hong; Zhiheng Ma; Yupeng Wei; Yabin Wang 001; Xiaopeng Fan 001 (BMVC, 2024)

Multimodal Blockwise Transformer for Robust Sentiment Recognition. - Zhengqin Lai; Xiaopeng Hong; Yabin Wang 001 (MRAC@MM, 2024)

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection. - Yabin Wang 001; Zhiwu Huang; Zhiheng Ma; Xiaopeng Hong (CoRR, 2024)

Penny-Wise and Pound-Foolish in Deepfake Detection. - Yabin Wang 001; Zhiwu Huang; Zhou Su 001; Adam Prügel-Bennett; Xiaopeng Hong (CoRR, 2024)

Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints. - Yujun Wang; Xiaopeng Hong; Yabin Wang 001; Junzhou Zhao; Guanghui Sun; Baoxing Qin (Knowl. Based Syst., 2024)

OpenSDI: Spotting Diffusion-Generated Images in the Open World. - Yabin Wang 001; Zhiwu Huang; Xiaopeng Hong (CVPR, 2025)

Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence. - Lixuan Zhang; Jianzhuang Zhao; Edoardo Lamon; Yabin Wang 001; Xiaopeng Hong (IEEE Trans Autom. Sci. Eng., 2025)

A Benchmark for Incremental Micro-expression Recognition. - Zhengqin Lai; Xiaopeng Hong; Yabin Wang 001; Xiaobai Li (CoRR, 2025)

Prompt Customization for Continual Learning. - Yong Dai; Xiaopeng Hong; Yabin Wang 001; Zhiheng Ma; Dongmei Jiang; Yaowei Wang 001 (IEEE Trans. Artif. Intell., 2025)

Dual-Attention based prompt generation and catalyzing for instance-wise continual learning. - Yong Dai; Xiaopeng Hong; Yabin Wang 001; Zhiheng Ma; Jinfeng Yang; Dongmei Jiang; Yaowei Wang 001 (Pattern Recognit., 2026)

Linguistic profiling of deepfakes: An open database for next-Generation deepfake detection. - Yabin Wang 001; Xiaopeng Hong; Yaqi Li; Zhiheng Ma; Zhiwu Huang (Pattern Recognit., 2026)

Asymmetric modal fusion for multi-modal crowd counting. - Chenhao Wang; Xiaopeng Hong; Zhiheng Ma; Yabin Wang 001; Yupeng Wei; Jinpeng Zhang (Pattern Recognit., 2026)

Leave No Stone Unturned: Uncovering Holistic Audio-Visual Intrinsic Coherence for Deepfake Detection. - Jielun Peng; Yabin Wang 001; Yaqi Li; Long Kong; Xiaopeng Hong (CoRR, 2026)

Robust Deepfake Detection, NTIRE 2026 Challenge: Report. - Benedikt Hopf; Radu Timofte; Chenfan Qu; Junchi Li; Fei Wu; Dagong Lu; Mufeng Yao; Xinlei Xu; Fengjun Guo; Yongwei Tang; Zhiqiang Yang; Zhiqiang Wu; et al. (CoRR, 2026)

Dance Across Shifts: Forward-Facilitation Continual Test-Time Adaptation through Dynamic Style Bridging. - Zhilin Zhu 001; Yabin Wang 001; Zhiheng Ma; Yaguang Song; Yaowei Wang 001; Xiaopeng Hong (CoRR, 2026)

Penny-Wise and Pound-Foolish in AI-Generated Image Detection. - Yabin Wang 001; Zhiwu Huang; Zhou Su 001; Adam Prügel-Bennett; Xiaopeng Hong (IEEE Trans. Pattern Anal. Mach. Intell., 2026)