Intelligent Trainer for Model-Based Reinforcement Learning. - Yuanlong Li; Linsen Dong; Yonggang Wen 001; Kyle Guan (CoRR, 2018)

Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis. - Guanyu Gao; Linsen Dong; Huaizheng Zhang; Yonggang Wen 001; Wenjun Zeng 001 (ICC, 2019)

Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing. - Qiang Fu 006; Linsen Dong; Ziyuan Liu; Yong Luo 002; Yonggang Wen 001; Ying Li 012; Ling-Yu Duan (ICME, 2019)

Baconian: A Unified Opensource Framework for Model-Based Reinforcement Learning. - Linsen Dong; Guanyu Gao; Yuanlong Li; Yonggang Wen 001 (CoRR, 2019)

Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins. - Ruihang Wang; Xin Zhou 003; Linsen Dong; Yonggang Wen 001; Rui Tan 001; Li Chen; Guan Wang; Feng Zeng (BuildSys, 2020)

Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach. - Ruihang Wang; Yuanlong Li; Linsen Dong; Xin Zhou 003; Yonggang Wen 001; Rui Tan 001; Li Chen; Guan Wang; Feng Zeng (CoRR, 2020)

DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction. - Huaizheng Zhang; Linsen Dong; Guanyu Gao; Han Hu 003; Yonggang Wen 001; Kyle Guan (IEEE Trans. Multim., 2020)

Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning. - Linsen Dong; Yuanlong Li; Xin Zhou 003; Yonggang Wen 001; Kyle Guan (IEEE Trans. Neural Networks Learn. Syst., 2021)