The Application of Dynamic K-means Clustering Algorithm in the Center Selection of RBF Neural Networks. - Jia He 003; Hongyang Liu (WGEC, 2009)

Stochastic stability of Markovian jumping Hopfield neural networks with constant and distributed delays. - Hongyang Liu; Lin Zhao 009; Zexu Zhang; Yan Ou (Neurocomputing, 2009)

Stability analysis of discrete-time stochastic neural networks with time-varying delays. - Yan Ou; Hongyang Liu; Yulin Si; Zhiguang Feng (Neurocomputing, 2010)

A mode-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters. - Yan Ou; Peng Shi 001; Hongyang Liu (Neurocomputing, 2010)

Multistability of genetic regulatory networks. - Wei Pan; Zexu Zhang; Hongyang Liu (Int. J. Syst. Sci., 2010)

Delay-dependent stability analysis for continuous-time BAM neural networks with Markovian jumping parameters. - Hongyang Liu; Yan Ou; Jun Hu; Tingting Liu (Neural Networks, 2010)

A Delay Partitioning Approach to H∞ Filtering for Continuous Time-Delay Systems. - Zhicheng Li; Hongyang Liu; Huijun Gao (Circuits Syst. Signal Process., 2011)

A novel hysteresis loss calculation method of filter inductor in PWM inverters. - Jiong Ma; Hongyang Liu; Hao Ma 002; Zhihong Bai (IECON, 2013)

Improved switching loss calculation in neutral point clamped inverter via waveforms linearization. - Hongyang Liu; Jiong Ma; Hao Ma 002; Zhihong Bai (ISIE, 2013)

A Weighted Centroid Based Tracking System in Wireless Sensor Networks. - Hongyang Liu; Qianqian Ren; Longjiang Guo; Jinbao Li; Hui Xu; Hu Jin; Nan Wang; Chengjie Song (ICA3PP (1), 2014)

Awareness of Space Information Network and Its Future Architecture. - Chengwu Chang; Hongyang Liu; Liyu Cheng; Jing Fan (SINC, 2016)

Energy efficient tracking in uncertain sensor networks. - Qianqian Ren; Jinbao Li; Hongyang Liu (Ad Hoc Networks, 2018)

A Practical Dynamic Enhanced BFT Protocol. - Feng Shen; Yu Long 001; Zhen Liu 008; Zhiqiang Liu 001; Hongyang Liu; Dawu Gu; Ning Liu (NSS, 2019)

A Logistics Network Distribution Algorithm Based on Deep Learning. - Panfeng Xu; Jiaqi Miao; Shengsheng Zhou; Hongyang Liu; Youming Wang (SSCI, 2019)

A Secure and Practical Blockchain Scheme for IoT. - Hongyang Liu; Feng Shen; Zhiqiang Liu 001; Yu Long 001; Zhen Liu 008; Shifeng Sun 001; Shuyang Tang; Dawu Gu (TrustCom/BigDataSE, 2019)

Layer Importance Estimation With Imprinting for Neural Network Quantization. - Hongyang Liu; Sara Elkerdawy; Nilanjan Ray; Mostafa Elhoushi (CVPR Workshops, 2021)

Spatial Reasoning and Context-Aware Attention Network for Skeleton-Based Action Recognition. - Dianlong You; Ling Wang; Da Han; Shunpan Liang; Hongyang Liu; Fuyong Yuan (ICME, 2021)

Top-aware recommender distillation with deep reinforcement learning. - Hongyang Liu; Zhu Sun 001; Xinghua Qu; Fuyong Yuan (Inf. Sci., 2021)

Adaptive Video Streaming Based on Learning Intrinsic Reward. - Yining Feng; Ying Wang 002; Hongyang Liu; Lin Cong; Yan Liu (BMSB, 2022)

Satellite Relay Task Scheduling Based on Dynamic Antenna Setup Time and Splittable Task. - Hongyang Liu; Ying Wang 002; Peng Yu 001; Yining Feng; Wenjing Li 001; Xuesong Qiu 001 (GLOBECOM, 2022)

Simple parallel algorithms for single-site dynamics. - Hongyang Liu; Yitong Yin (STOC, 2022)

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. - Xinghua Qu; Hongyang Liu; Zhu Sun 001; Xiang Yin 006; Yew Soon Ong; Lu Lu 015; Zejun Ma (SIGIR, 2023)

Improvement of blockchain-based multi-layer location data sharing scheme for Internet of Things. - Hongyang Liu; Hui Huang 010; Yuping Zhou; Qunshan Chen (Comput. Commun., 2023)

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. - Zhu Sun 001; Hui Fang 002; Jie Yang 028; Xinghua Qu; Hongyang Liu; Di Yu 001; Yew-Soon Ong; Jie Zhang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Large Language Models for Intent-Driven Session Recommendations. - Zhu Sun 001; Hongyang Liu; Xinghua Qu; Kaidong Feng; Yan Wang 002; Yew Soon Ong (SIGIR, 2024)

Work-Efficient Parallel Counting via Sampling. - Hongyang Liu; Yitong Yin; Yiyao Zhang (CoRR, 2024)

Efficient Parallel Ising Samplers via Localization Schemes. - Xiaoyu Chen; Hongyang Liu; Yitong Yin; Xinyuan Zhang (APPROX/RANDOM, 2025)

Approximating the total variation distance between spin systems. - Weiming Feng 001; Hongyang Liu; Minji Yang (COLT, 2025)

Predicting and validating the risk of interstitial lung disease in systemic lupus erythematosus. - Aoyang Guo; Yanran Chen; Hongyang Liu; Shujun Gao; Xinyi Huang; Dongzhou Liu; Qianqian Zhao; Xiaoping Hong (Int. J. Medical Informatics, 2025)

Local Gibbs sampling beyond local uniformity. - Hongyang Liu; Chunyang Wang; Yitong Yin (CoRR, 2025)

Parallelize Single-Site Dynamics up to Dobrushin Criterion. - Hongyang Liu; Yitong Yin (J. ACM, 2025)

Causal-Invariant Cross-Domain Out-of-Distribution Recommendation. - Jiajie Zhu 001; Yan Wang 002; Feng Zhu 011; Pengfei Ding 001; Hongyang Liu; Zhu Sun 001 (CoRR, 2025)

Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. - Hongyang Liu; Zhu Sun 001; Tianjun Wei; Yan Wang 002; Jiajie Zhu 001; Xinghua Qu (CoRR, 2025)