AttExplainer: Explain Transformer via Attention by Reinforcement Learning. - Runliang Niu; Zhepei Wei; Yan Wang; Qi Wang (IJCAI, 2022)

ScreenAgent: A Vision Language Model-driven Computer Control Agent. - Runliang Niu; Jindong Li 002; Shiqi Wang 006; Yali Fu; Xiyu Hu; Xueyuan Leng; He Kong; Yi Chang 001; Qi Wang 078 (IJCAI, 2024)

Towards Next-Generation LLM-based Recommender Systems: A Survey and Beyond. - Qi Wang 078; Jindong Li 002; Shiqi Wang 006; Qianli Xing 002; Runliang Niu; He Kong; Rui Li 049; Guodong Long; Yi Chang 001; Chengqi Zhang (CoRR, 2024)

Learn to explain transformer via interpretation path by reinforcement learning. - Runliang Niu; Qi Wang 078; He Kong; Qianli Xing 002; Yi Chang 001; Philip S. Yu (Neural Networks, 2025)

Revisiting CLIP for SF-OSDA: Unleashing Zero-Shot Potential with Adaptive Threshold and Training-Free Feature Filtering. - Yongguang Li; Jindong Li 002; Qi Wang 078; Qianli Xing 002; Runliang Niu; Shengsheng Wang 001; Menglin Yang 005 (CoRR, 2025)

ScreenExplorer: Training a Vision-Language Model for Diverse Exploration in Open GUI World. - Runliang Niu; Jinglong Ji; Yi Chang; Qi Wang (CoRR, 2025)

TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization. - Zengjue Chen; Runliang Niu; He Kong; Qi Wang (CoRR, 2025)

ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments. - He Kong; Qianli Xing 002; Qi Wang 078; Runliang Niu; Hechang Chen; Yu Wang 152; Shiqi Wang 006; Zhiyi Duan; Yi Chang 001 (IEEE Trans. Intell. Transp. Syst., 2025)