Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. - Wei Shen 005; Xiaonan He; Chuheng Zhang; Qiang Ni; Wanchun Dou; Yan Wang (CIKM, 2020)

Deep Reinforcement Learning Based Iterative Participant Selection Method for Industrial IoT Big Data Mobile Crowdsourcing. - Yan Wang 002; Yun Tian; Xuyun Zhang; Xiaonan He; Shu Li; Jia Zhu (ADMA, 2021)

Inductive Matrix Completion Using Graph Autoencoder. - Wei Shen 005; Chuheng Zhang; Yun Tian; Liang Zeng 002; Xiaonan He; Wanchun Dou; Xiaolong Xu 001 (CIKM, 2021)

Network Risk Assessment Based on Baum Welch Algorithm and HMM. - Chundong Wang 002; Kongbo Li; Xiaonan He (Mob. Networks Appl., 2021)

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. - Yuanying Cai; Chuheng Zhang; Wei Shen 005; Xiaonan He; Xuyun Zhang; Longbo Huang (CIKM, 2022)

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. - Wei Shen 005; Xiaonan He; Chuheng Zhang; Xuyun Zhang; Jian Xie (CIKM, 2022)

Design of distributed temperature-measuring system based on 1-wire bus for ultra-kilometre frozen deep well. - Tao Wu; Xiaomin Zhou; Xiaonan He; Yan Xu (Evol. Intell., 2022)

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. - Deqing Wang; Junjie Wu 002; Jingyuan Yang 001; Baoyu Jing; Wenjie Zhang; Xiaonan He; Hui Zhang 028 (IEEE Trans. Cybern., 2022)

Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking. - Jing Xu; Dandan Song; Chong Liu; Siu Cheung Hui; Fei Li; Qiang Ju; Xiaonan He; Jian Xie (AAAI, 2023)

An Efficient and Lightweight Structure for Spatial-Temporal Feature Extraction in Video Super Resolution. - Xiaonan He; Yukun Xia; Yuansong Qiao; Brian Lee 001; Yuhang Ye 001 (CGI (1), 2023)

Multi-robot Navigation with Graph Attention Neural Network and Hierarchical Motion Planning. - Xiaonan He; Xiaojun Shi; Jiaxiang Hu; Yingxin Wang (J. Intell. Robotic Syst., 2023)

Leveraging Web-Crawled Data for High-Quality Fine-Tuning. - Jing Zhou; Chenglin Jiang; Wei Shen 005; Xiao Zhou; Xiaonan He (EMNLP (Findings), 2024)

SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions. - Juexiao Zhou; Liyuan Sun; Yan Xu; Wenbin Liu; Shawn Afvari; Zhongyi Han; Jiaoyan Song; Yongzhi Ji; Xiaonan He; Xin Gao 001 (CoRR, 2024)

Leveraging Web-Crawled Data for High-Quality Fine-Tuning. - Jing Zhou; Chenglin Jiang; Wei Shen; Xiao Zhou; Xiaonan He (CoRR, 2024)

A comparative study of super-resolution algorithms for video streaming application. - Xiaonan He; Yuansong Qiao; Brian Lee 001; Yuhang Ye 001 (Multim. Tools Appl., 2024)

Semantic guidance incremental network for efficiency video super-resolution. - Xiaonan He; Yukun Xia; Yuansong Qiao; Brian Lee 001; Yuhang Ye 001 (Vis. Comput., 2024)

Reward-Driven Interaction: Enhancing Proactive Dialogue Agents through User Satisfaction Prediction. - Wei Shen 005; Xiaonan He; Chuheng Zhang; Xuyun Zhang; Xiaolong Xu 001; Wanchun Dou (CoRR, 2025)

Facial Foundational Model Advances Early Warning of Coronary Artery Disease from Live Videos with DigitalShadow. - Juexiao Zhou; Zhongyi Han; Mankun Xin; Xingwei He 007; Guotao Wang; Jiaoyan Song; Gongning Luo; Wenjia He; Xintong Li; Yuetan Chu; Juanwen Chen; Bo Wang 044; et al. (CoRR, 2025)