Xiaonan He

According to our database, Xiaonan He authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A comparative study of super-resolution algorithms for video streaming application.

Xiaonan He, Yuansong Qiao, Brian Lee, Yuhang Ye

Multim. Tools Appl., April, 2024

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., October, 2023

An Efficient and Lightweight Structure for Spatial-Temporal Feature Extraction in Video Super Resolution.

Xiaonan He, Yukun Xia, Yuansong Qiao, Brian Lee, Yuhang Ye

Proceedings of the Advances in Computer Graphics, 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer.

Deqing Wang, Junjie Wu, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang

IEEE Trans. Cybern., 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

A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS.

Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang, Jian Xie

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations.

Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang, Longbo Huang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Network Risk Assessment Based on Baum Welch Algorithm and HMM.

Chundong Wang, Kongbo Li, Xiaonan He

Mob. Networks Appl., 2021

Inductive Matrix Completion Using Graph Autoencoder.

Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

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

Proceedings of the Advanced Data Mining and Applications - 17th International Conference, 2021

2020

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

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020