| 2025 | CGI | SCAU-Net: An Efficient Module for Multi-scale Feature Extraction and Aggregation in Video Super-Resolution. | Xiaonan He, Yukun Xia, Bangshu Xiong, Yuhang Ye |
| 2024 | EMNLP | Leveraging Web-Crawled Data for High-Quality Fine-Tuning. | Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He |
| 2023 | AAAI | 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 |
| 2023 | CGI | An Efficient and Lightweight Structure for Spatial-Temporal Feature Extraction in Video Super Resolution. | Xiaonan He, Yukun Xia, Yuansong Qiao, Brian Lee, Yuhang Ye |
| 2022 | CIKM | Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. | Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang |
| 2022 | CIKM | A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. | Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie |
| 2021 | ADMA | Deep Reinforcement Learning Based Iterative Participant Selection Method for Industrial IoT Big Data Mobile Crowdsourcing. | Yan Wang, Yun Tian, Xuyun Zhang, Xiaonan He, Shu Li, Jia Zhu |
| 2021 | CIKM | Inductive Matrix Completion Using Graph Autoencoder. | Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu |
| 2020 | CIKM | Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. | Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang |