Learning to Schedule Job-Shop Problems via Hierarchical Reinforcement Learning. - Zijun Liao; Qiwen Li; Yuanzhi Dai; Zizhen Zhang (SMC, 2022)

Hybrid intelligence for dynamic job-shop scheduling with deep reinforcement learning and attention mechanism. - Yunhui Zeng; Zijun Liao; Yuanzhi Dai; Rong Wang; Xiu Li 001; Bo Yuan 003 (CoRR, 2022)

Research on Wordle based on time series ARIMA model and XGBoost model. - Fangfei Li; Pengkai Guo; Zijun Liao (CIPAE, 2023)

Accurate Performance Analysis of Telemedicine Systems by Exploiting Kinematic Characteristics. - Xiaotong Shi; Yueyue Dai; Zijun Liao; Tao Jiang 002 (ICC, 2023)

Solving Job-Shop Scheduling Problem via Deep Reinforcement Learning with Attention Model. - Zijun Liao; Jinbiao Chen; Zizhen Zhang (IEA/AIE (2), 2023)

Adaptive Pipeline Hardware Architecture Design and Implementation for Image Lossless Compression/Decompression Based on JPEG-LS. - Fangjia Liu; Xiyao Chen; Zijun Liao; Chong Yang (IEEE Access, 2024)

BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization. - Zijun Liao; Jinbiao Chen; Debing Wang; Zizhen Zhang; Jiahai Wang (CoRR, 2025)