The design of energy-saving filtering mechanism for sensor networks. - Ru Huang 002; Guang-Hui Xu (ICMLC, 2010)

Energy-Efficient Monitoring in Software Defined Wireless Sensor Networks Using Reinforcement Learning: A Prototype. - Ru Huang 002; Xiaoli Chu; Jie Zhang 003; Yu Hen Hu (Int. J. Distributed Sens. Networks, 2015)

Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system. - Ru Huang 002; Xiaoli Chu; Jie Zhang 003; Yu Hen Hu (Int. J. Distributed Sens. Networks, 2017)

A Generalized Cellular Automata Approach to Modelling Contagion and Monitoring for Emergent Events in Sensor Networks. - Ru Huang 002; Hongyuan Yang; Haochen Yang; Lei Ma (IFTC, 2019)

Resilient Routing Mechanism for Wireless Sensor Networks With Deep Learning Link Reliability Prediction. - Ru Huang 002; Lei Ma; Guangtao Zhai; Jianhua He; Xiaoli Chu; Huaicheng Yan 001 (IEEE Access, 2020)

T-GAN: A deep learning framework for prediction of temporal complex networks with adaptive graph convolution and attention mechanism. - Ru Huang 002; Lei Ma; Jianhua He; Xiaoli Chu (Displays, 2021)

Dynamic Heterogeneous User Generated Contents-Driven Relation Assessment via Graph Representation Learning. - Ru Huang 002; Zijian Chen 001; Jianhua He; Xiaoli Chu (Sensors, 2022)

FS-BAND: A Frequency-Sensitive Banding Detector. - Zijian Chen 001; Wei Sun 029; Zicheng Zhang; Ru Huang 002; Fangfang Lu; Xiongkuo Min; Guangtao Zhai; Wenjun Zhang 001 (CoRR, 2023)

A Graph Entropy Measure From Urelement to Higher-Order Graphlets for Network Analysis. - Ru Huang 002; Zijian Chen 001; Guangtao Zhai; Jianhua He; Xiaoli Chu (IEEE Trans. Netw. Sci. Eng., 2023)

Exploring network reliability by predicting link status based on simplex neural network. - Ru Huang 002; Moran Feng; Zijian Chen 001; Jianhua He; Xiaoli Chu (Displays, 2023)

FS-BAND: A Frequency-Sensitive Banding Detector. - Zijian Chen 001; Wei Sun 029; Zicheng Zhang; Ru Huang 002; Fangfang Lu; Xiongkuo Min; Guangtao Zhai; Wen-Jun Zhang 005 (ISCAS, 2024)

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos. - Zijian Chen 001; Wei Sun 029; Yuan Tian 017; Jun Jia; Zicheng Zhang; Jiarui Wang; Ru Huang 002; Xiongkuo Min; Guangtao Zhai; Wen-Jun Zhang 005 (NeurIPS, 2024)

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos. - Zijian Chen 001; Wei Sun 029; Yuan Tian 017; Jun Jia; Zicheng Zhang; Jiarui Wang; Ru Huang 002; Xiongkuo Min; Guangtao Zhai; Wenjun Zhang 001 (CoRR, 2024)

BAND-2k: Banding Artifact Noticeable Database for Banding Detection and Quality Assessment. - Zijian Chen 001; Wei Sun 029; Jun Jia; Fangfang Lu; Zicheng Zhang; Jing Liu 002; Ru Huang 002; Xiongkuo Min; Guangtao Zhai (IEEE Trans. Circuits Syst. Video Technol., 2024)

Study of Subjective and Objective Naturalness Assessment of AI-Generated Images. - Zijian Chen 001; Wei Sun 029; Haoning Wu 001; Zicheng Zhang; Jun Jia; Ru Huang 002; Xiongkuo Min; Guangtao Zhai; Wenjun Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

Joint Luminance-Chrominance Learning for Image Debanding. - Zijian Chen 001; Wei Sun 029; Jun Jia; Ru Huang 002; Fangfang Lu; Ying Chen 011; Xiongkuo Min; Guangtao Zhai; Wenjun Zhang 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)