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Xiaonan He
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2020 – today
- 2024
- [j6]Xiaonan He, Yuansong Qiao, Brian Lee, Yuhang Ye
:
A comparative study of super-resolution algorithms for video streaming application. Multim. Tools Appl. 83(14): 43493-43512 (2024) - [j5]Xiaonan He, Yukun Xia
, Yuansong Qiao, Brian Lee, Yuhang Ye:
Semantic guidance incremental network for efficiency video super-resolution. Vis. Comput. 40(7): 4899-4911 (2024) - [c8]Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He:
Leveraging Web-Crawled Data for High-Quality Fine-Tuning. EMNLP (Findings) 2024: 11297-11312 - [i6]Juexiao Zhou, Liyuan Sun, Yan Xu, Wenbin Liu, Shawn Afvari, Zhongyi Han, Jiaoyan Song, Yongzhi Ji, Xiaonan He, Xin Gao:
SkinCAP: A Multi-modal Dermatology Dataset Annotated with Rich Medical Captions. CoRR abs/2405.18004 (2024) - [i5]Jing Zhou, Chenglin Jiang, Wei Shen, Xiao Zhou, Xiaonan He:
Leveraging Web-Crawled Data for High-Quality Fine-Tuning. CoRR abs/2408.08003 (2024) - 2023
- [j4]Xiaonan He, Xiaojun Shi
, Jiaxiang Hu, Yingxin Wang:
Multi-robot Navigation with Graph Attention Neural Network and Hierarchical Motion Planning. J. Intell. Robotic Syst. 109(2): 25 (2023) - [c7]Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li
, Qiang Ju, Xiaonan He, Jian Xie:
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking. AAAI 2023: 13834-13842 - [c6]Xiaonan He
, Yukun Xia
, Yuansong Qiao
, Brian Lee, Yuhang Ye
:
An Efficient and Lightweight Structure for Spatial-Temporal Feature Extraction in Video Super Resolution. CGI (1) 2023: 362-374 - [i4]Jing Xu, Dandan Song, Chong Liu, Siu Cheung Hui, Fei Li, Qiang Ju, Xiaonan He, Jian Xie:
Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking. CoRR abs/2302.08220 (2023) - 2022
- [j3]Tao Wu
, Xiaomin Zhou, Xiaonan He, Yan Xu:
Design of distributed temperature-measuring system based on 1-wire bus for ultra-kilometre frozen deep well. Evol. Intell. 15(4): 2505-2514 (2022) - [j2]Deqing Wang
, Junjie Wu
, Jingyuan Yang, Baoyu Jing, Wenjie Zhang, Xiaonan He, Hui Zhang:
Cross-Lingual Knowledge Transferring by Structural Correspondence and Space Transfer. IEEE Trans. Cybern. 52(7): 6555-6566 (2022) - [c5]Yuanying Cai, Chuheng Zhang, Wei Shen, Xiaonan He, Xuyun Zhang
, Longbo Huang:
Imitation Learning to Outperform Demonstrators by Directly Extrapolating Demonstrations. CIKM 2022: 128-137 - [c4]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang
, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CIKM 2022: 1777-1786 - [i3]Wei Shen, Xiaonan He, Chuheng Zhang, Xuyun Zhang
, Jian Xie:
A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS. CoRR abs/2212.03817 (2022) - 2021
- [j1]Chundong Wang
, Kongbo Li
, Xiaonan He:
Network Risk Assessment Based on Baum Welch Algorithm and HMM. Mob. Networks Appl. 26(4): 1630-1637 (2021) - [c3]Yan Wang, Yun Tian, Xuyun Zhang
, Xiaonan He, Shu Li, Jia Zhu:
Deep Reinforcement Learning Based Iterative Participant Selection Method for Industrial IoT Big Data Mobile Crowdsourcing. ADMA 2021: 258-272 - [c2]Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. CIKM 2021: 1609-1618 - [i2]Wei Shen, Chuheng Zhang, Yun Tian, Liang Zeng, Xiaonan He, Wanchun Dou, Xiaolong Xu:
Inductive Matrix Completion Using Graph Autoencoder. CoRR abs/2108.11124 (2021) - 2020
- [c1]Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CIKM 2020: 1355-1364 - [i1]Wei Shen, Xiaonan He, Chuheng Zhang, Qiang Ni, Wanchun Dou, Yan Wang:
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing. CoRR abs/2008.11087 (2020)
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