A novel method of process dead-time identification: support vector machine approach. - Hongdong Zhu; Huihe Shao (ACC, 2004)

Control of the process with inverse response and dead-time based on disturbance observer. - Hongdong Zhu; Guanghui Zhang; Huihe Shao (ACC, 2005)

Congestion Pattern Prediction for a Busy Traffic Zone Based on the Hidden Markov Model. - Tingting Sun; Zhengfeng Huang; Hongdong Zhu; Yanhao Huang; Pengjun Zheng (IEEE Access, 2021)

Automated Timeline Length Selection for Flexible Timeline Summarization. - Xi Li 001; Qianren Mao; Hao Peng 001; Hongdong Zhu; Jianxin Li 002; Zheng Wang 001 (CoRR, 2021)

Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization. - Yiming Wang 011; Qianren Mao; Junnan Liu; Weifeng Jiang; Hongdong Zhu; Jianxin Li 002 (COLING, 2022)

MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization. - Qianren Mao; Hongdong Zhu; Junnan Liu; Cheng Ji 001; Hao Peng 001; Jianxin Li 002; Lihong Wang; Zheng Wang 001 (SIGIR, 2022)

Quantum-Classical Hybrid Quantized Neural Network. - Wenxin Li; Chuan Wang; Hongdong Zhu; Qi Gao; Yin Ma; Hai Wei; Kai Wen (CoRR, 2025)

Quantum-Boosted High-Fidelity Deep Learning. - Feng-ao Wang; Shaobo Chen; Yao Xuan; Junwei Liu; Qi Gao; Hongdong Zhu; Junjie Hou; Lixin Yuan; Jinyu Cheng; Chenxin Yi; Hai Wei; Yin Ma; et al. (CoRR, 2025)