AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results. - Kai Zhang 008; Nan Nan; Chenghua Li; Xueyi Zou; Ning Kang 007; Zhan Wang 003; Hang Xu 004; Chaofeng Wang; Zheng Li; Linlin Wang; Jun Shi 004; Shuhang Gu; et al. (ICCV Workshops, 2019)

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency. - Chuming Li; Jie Liu 047; Yinmin Zhang; Yuhong Wei; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (AAAI, 2023)

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning. - Chuming Li; Ruonan Jia; Jie Liu 047; Yinmin Zhang; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (ECAI, 2023)

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation. - Ming Zhang; Shenghan Zhang; Zhenjie Yang; Lekai Chen; Jinliang Zheng; Chao Yang 026; Chuming Li; Hang Zhou 009; Yazhe Niu; Yu Liu 015 (ICLR, 2023)

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios. - Yazhe Niu; Yuan Pu; Zhenjie Yang; Xueyan Li; Tong Zhou; Jiyuan Ren; Shuai Hu; Hongsheng Li 001; Yu Liu 015 (NeurIPS, 2023)

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning. - Yinmin Zhang; Jie Liu 047; Chuming Li; Yazhe Niu; Yaodong Yang 001; Yu Liu 015; Wanli Ouyang (AAAI, 2024)

ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze. - Chunyu Xuan; Yazhe Niu; Yuan Pu; Shuai Hu; Yu Liu 015; Jing Yang (CoRR, 2024)

AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents. - Yuxiang Chai; Siyuan Huang 004; Yazhe Niu; Han Xiao 010; Liang Liu; Dingyu Zhang; Peng Gao 007; Shuai Ren; Hongsheng Li 001 (CoRR, 2024)

PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements. - Xueyan Li; Xinyan Chen; Yazhe Niu; Shuai Hu; Yu Liu 015 (CoRR, 2024)

Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective. - Jinouwen Zhang; Rongkun Xue; Yazhe Niu; Yun Chen; Jing Yang; Hongsheng Li 001; Yu Liu 015 (CoRR, 2024)

Pretrained Reversible Generation as Unsupervised Visual Representation Learning. - Rongkun Xue; Jinouwen Zhang; Yazhe Niu; Dazhong Shen; Bingqi Ma; Yu Liu 015; Jing Yang (CoRR, 2024)

AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents. - Yuxiang Chai; Siyuan Huang 004; Yazhe Niu; Han Xiao 010; Liang Liu; Guozhi Wang; Dingyu Zhang; Shuai Ren; Hongsheng Li 001 (ACL (Findings), 2025)

UniZero: Generalized and Efficient Planning with Scalable Latent World Models. - Yuan Pu; Yazhe Niu; Zhenjie Yang; Jiyuan Ren; Hongsheng Li 001; Yu Liu 015 (Trans. Mach. Learn. Res., 2025)

Hierarchical Balance Packing: Towards Efficient Supervised Fine-tuning for Long-Context LLM. - Yongqiang Yao; Jingru Tan; Kaihuan Liang; Feizhao Zhang; Yazhe Niu; Jiahao Hu; Ruihao Gong; Dahua Lin; Ningyi Xu (CoRR, 2025)

Empowering LLMs in Decision Games through Algorithmic Data Synthesis. - Haolin Wang; Xueyan Li; Yazhe Niu; Shuai Hu; Hongsheng Li 001 (CoRR, 2025)

Kimina-Prover Preview: Towards Large Formal Reasoning Models with Reinforcement Learning. - Haiming Wang; Mert Unsal; Xiaohan Lin; Mantas Baksys; Junqi Liu; Marco Dos Santos; Flood Sung; Marina Vinyes; Zhenzhe Ying; Zekai Zhu; Jianqiao Lu; Hugues de Saxcé; et al. (CoRR, 2025)

Let Androids Dream of Electric Sheep: A Human-like Image Implication Understanding and Reasoning Framework. - Chenhao Zhang; Yazhe Niu (CoRR, 2025)

CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction. - Yudong Lu; Yazhe Niu; Shuai Hu; Haolin Wang (CoRR, 2025)

SafeWork-R1: Coevolving Safety and Intelligence under the AI-45° Law. - Yicheng Bao; Guanxu Chen; Mingkang Chen; Yunhao Chen; Chiyu Chen; Lingjie Chen; Sirui Chen; Xinquan Chen; Jie Cheng; Yu Cheng 001; Dengke Deng; Yizhuo Ding; et al. (CoRR, 2025)

HH-Codec: High Compression High-fidelity Discrete Neural Codec for Spoken Language Modeling. - Rongkun Xue; Yazhe Niu; Shuai Hu; Zixin Yin; Yongqiang Yao; Jing Yang (CoRR, 2025)