Improving Data Explainability in Analysis of Designed Computer Simulation Experiments. - Shengkun Xie; Anna T. Lawniczak; Junlin Hao; Chong Gan (SSCI, 2019)

Modelling Autonomous Agents' Decisions in Learning to Cross a Cellular Automaton-Based Highway via Artificial Neural Networks. - Shengkun Xie; Anna T. Lawniczak; Junlin Hao (Comput., 2020)

Promptus: Can Prompts Streaming Replace Video Streaming with Stable Diffusion. - Jiangkai Wu; Liming Liu; Yunpeng Tan; Junlin Hao; Xinggong Zhang (CoRR, 2024)

MCBlock: Boosting Neural Radiance Field Training Speed by MCTS-based Dynamic-Resolution Ray Sampling. - Yunpeng Tan; Junlin Hao; Jiangkai Wu; Liming Liu; Qingyang Li; Xinggong Zhang (CoRR, 2025)

GaussVideoDreamer: 3D Scene Generation with Video Diffusion and Inconsistency-Aware Gaussian Splatting. - Junlin Hao; Peiheng Wang; Haoyang Wang; Xinggong Zhang; Zongming Guo (CoRR, 2025)

R-Meshfusion: Reinforcement Learning Powered Sparse-View Mesh Reconstruction with Diffusion Priors. - Haoyang Wang; Liming Liu; Peiheng Wang; Junlin Hao; Jiangkai Wu; Xinggong Zhang (CoRR, 2025)