Generalization Tower Network: A Novel Deep Neural Network Architecture for Multi-Task Learning. - Yuhang Song 001; Mai Xu; Songyang Zhang; Liangyu Huo (CoRR, 2017)

Modeling Attention in Panoramic Video: A Deep Reinforcement Learning Approach. - Yuhang Song 001; Mai Xu; Minglang Qiao; Jianyi Wang; Liangyu Huo; Zulin Wang (CoRR, 2017)

Optimizing QoE of Multiple Users over DASH: A Meta-learning Approach. - Liangyu Huo; Zulin Wang; Mai Xu; Zhiguo Ding 001; Xiaoming Tao 001 (ICASSP, 2019)

Predicting Head Movement in Panoramic Video: A Deep Reinforcement Learning Approach. - Mai Xu; Yuhang Song 001; Jianyi Wang; Minglang Qiao; Liangyu Huo; Zulin Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Anti-Jamming Routing For Internet of Satellites: a Reinforcement Learning Approach. - Chen Han; Aijun Liu 001; Liangyu Huo; Haichao Wang 001; Xiaohu Liang (ICASSP, 2020)

Learning Diverse Sub-Policies via a Task-Agnostic Regularization on Action Distributions. - Liangyu Huo; Zulin Wang; Mai Xu; Yuhang Song 001 (ICASSP, 2020)

A Prediction-Based Resource Matching Scheme for Rentable LEO Satellite Communication Network. - Chen Han; Aijun Liu 001; Liangyu Huo; Haichao Wang 001; Xiaohu Liang (IEEE Commun. Lett., 2020)

Dynamic Anti-Jamming Coalition for Satellite-Enabled Army IoT: A Distributed Game Approach. - Chen Han; Aijun Liu 001; Haichao Wang 001; Liangyu Huo; Xiaohu Liang (IEEE Internet Things J., 2020)

A Meta-Learning Framework for Learning Multi-User Preferences in QoE Optimization of DASH. - Liangyu Huo; Zulin Wang; Mai Xu; Yong Li 008; Zhiguo Ding 001; Hao Wang (IEEE Trans. Circuits Syst. Video Technol., 2020)

Spatial Anti-Jamming Scheme for Internet of Satellites Based on the Deep Reinforcement Learning and Stackelberg Game. - Chen Han; Liangyu Huo; Xinhai Tong; Haichao Wang 001; Xian Liu (IEEE Trans. Veh. Technol., 2020)

Simulation of English part-of-speech recognition based on machine learning prediction algorithm. - Lanlan Pan; Liangyu Huo; Zhengya Li (J. Intell. Fuzzy Syst., 2021)

Distributed Resource Management Framework for IoS Against Malicious Jamming. - Chen Han; Aijun Liu 001; Liangyu Huo; Haichao Wang 001; Xiaohu Liang; Xinhai Tong (IEEE Trans. Commun., 2021)

TVFormer: Trajectory-guided Visual Quality Assessment on 360° Images with Transformers. - Li Yang 014; Mai Xu; Tie Liu; Liangyu Huo; Xinbo Gao 001 (ACM Multimedia, 2022)

Satellite-Assisted UAV Trajectory Control in Hostile Jamming Environments. - Chen Han; Aijun Liu 001; Kang An 001; Haichao Wang 001; Gan Zheng; Symeon Chatzinotas; Liangyu Huo; Xinhai Tong (IEEE Trans. Veh. Technol., 2022)

Learning Noise-Induced Reward Functions for Surpassing Demonstrations in Imitation Learning. - Liangyu Huo; Zulin Wang; Mai Xu (AAAI, 2023)

A Task-Agnostic Regularizer for Diverse Subpolicy Discovery in Hierarchical Reinforcement Learning. - Liangyu Huo; Zulin Wang; Mai Xu; Yuhang Song 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability. - Yanrui Du; Sendong Zhao; Danyang Zhao; Ming Ma; Yuhan Chen 002; Liangyu Huo; Qing Yang 033; Dongliang Xu; Bing Qin 001 (NeurIPS, 2024)

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers. - Xin Lu; Yanyan Zhao; Bing Qin 001; Liangyu Huo; Qing Yang 033; Dongliang Xu (NeurIPS, 2024)

MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability. - Yanrui Du; Sendong Zhao; Danyang Zhao; Ming Ma; Yuhan Chen 002; Liangyu Huo; Qing Yang 033; Dongliang Xu; Bing Qin 001 (CoRR, 2024)

Beyond Excess and Deficiency: Adaptive Length Bias Mitigation in Reward Models for RLHF. - Yuyan Bu; Liangyu Huo; Yi Jing; Qing Yang (NAACL (Findings), 2025)

NaLaFormer: Norm-Aware Linear Attention for Transformer Models. - Weikang Meng; Yadan Luo; Liangyu Huo; Yaowei Wang 001; Xin Li 003; Zheng Zhang 006 (CoRR, 2025)