Yazhe Niu

According to our database, Yazhe Niu authored at least 29 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio Understanding.

Jieyi Wang, Yazhe Niu, Dexuan Xu, Zhongyu Wei

CoRR, April, 2026

MetaphorStar: Image Metaphor Understanding and Reasoning with End-to-End Visual Reinforcement Learning.

Chenhao Zhang, Yazhe Niu, Hongsheng Li

CoRR, February, 2026

TreeTensor: Boost AI System on Nested Data with Constrained Tree-Like Tensor.

Shaoang Zhang, Yazhe Niu

CoRR, February, 2026

CoTZero: Annotation-Free Human-Like Vision Reasoning via Hierarchical Synthetic CoT.

Chengyi Du, Yazhe Niu, Dazhong Shen, Luxin Xu

CoRR, February, 2026

2025

From Perception to Punchline: Empowering VLM with the Art of In-the-wild Meme.

Xueyan Li, Yingyi Xue, Mengjie Jiang, Qingzi Zhu, Yazhe Niu

CoRR, December, 2025

Generative Multi-modal Feedback for Singing Voice Synthesis Evaluation.

Xueyan Li, Yuxin Wang, Mengjie Jiang, Qingzi Zhu, Jiang Zhang, Zoey Kim, Yazhe Niu

CoRR, December, 2025

Neighbor GRPO: Contrastive ODE Policy Optimization Aligns Flow Models.

Dailan He, Guanlin Feng, Xingtong Ge, Yazhe Niu, Yi Zhang, Bingqi Ma, Guanglu Song, Yu Liu, Hongsheng Li

CoRR, November, 2025

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning.

Yuan Pu, Yazhe Niu, Jia Tang, Junyu Xiong, Shuai Hu, Hongsheng Li

CoRR, September, 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, July, 2025

CleanS2S: Single-file Framework for Proactive Speech-to-Speech Interaction.

Yudong Lu, Yazhe Niu, Shuai Hu, Haolin Wang

CoRR, June, 2025

Let Androids Dream of Electric Sheep: A Human-like Image Implication Understanding and Reasoning Framework.

Chenhao Zhang, Yazhe Niu

CoRR, May, 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, Bolton Bailey, Chendong Song, Chenjun Xiao, Dehao Zhang, Ebony Zhang, Frederick Pu, Han Zhu, Jiawei Liu, Jonas Bayer, Julien Michel, Longhui Yu, Léo Dreyfus-Schmidt, Lewis Tunstall, Luigi Pagani, Moreira Machado, Pauline Bourigault, Ran Wang, Stanislas Polu, Thibaut Barroyer, Wen-Ding Li, Yazhe Niu, Yann Fleureau, Yangyang Hu, Zhouliang Yu, Zihan Wang, Zhilin Yang, Zhengying Liu, Jia Li

CoRR, April, 2025

Empowering LLMs in Decision Games through Algorithmic Data Synthesis.

Haolin Wang, Xueyan Li, Yazhe Niu, Shuai Hu, Hongsheng Li

CoRR, March, 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, March, 2025

UniZero: Generalized and Efficient Planning with Scalable Latent World Models.

Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu

Trans. Mach. Learn. Res., 2025

OmniBal: Towards Fast Instruction-Tuning for Vision-Language Models via Omniverse Computation Balance.

Yongqiang Yao, Jingru Tan, Feizhao Zhang, Jiahao Hu, Yazhe Niu, Xin Jin, Bo Li, Pengfei Liu, Ruihao Gong, Dahua Lin, Ningyi Xu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Pretrained Reversible Generation as Unsupervised Visual Representation Learning.

Rongkun Xue, Jinouwen Zhang, Yazhe Niu, Dazhong Shen, Bingqi Ma, Yu Liu, Jing Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

beSEL: A Human-Aligned LLM Teaching Assistant for Enhancing Social-Emotional Learning.

Jing Zhang, Yazhe Niu, Xueyan Li, Peiyan Zhou, Di Sun

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED, 2025

AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents.

Yuxiang Chai, Siyuan Huang, Yazhe Niu, Han Xiao, Liang Liu, Guozhi Wang, Dingyu Zhang, Shuai Ren, Hongsheng Li

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Revisiting Generative Policies: A Simpler Reinforcement Learning Algorithmic Perspective.

Jinouwen Zhang, Rongkun Xue, Yazhe Niu, Yun Chen, Jing Yang, Hongsheng Li, Yu Liu

CoRR, 2024

PsyDI: Towards a Personalized and Progressively In-depth Chatbot for Psychological Measurements.

Xueyan Li, Xinyan Chen, Yazhe Niu, Shuai Hu, Yu Liu

CoRR, 2024

AMEX: Android Multi-annotation Expo Dataset for Mobile GUI Agents.

Yuxiang Chai, Siyuan Huang, Yazhe Niu, Han Xiao, Liang Liu, Dingyu Zhang, Peng Gao, Shuai Ren, Hongsheng Li

CoRR, 2024

ReZero: Boosting MCTS-based Algorithms by Just-in-Time and Speedy Reanalyze.

Chunyu Xuan, Yazhe Niu, Yuan Pu, Shuai Hu, Yu Liu, Jing Yang

CoRR, 2024

A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning.

Yinmin Zhang, Jie Liu, Chuming Li, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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, Yu Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GoBigger: A Scalable Platform for Cooperative-Competitive Multi-Agent Interactive Simulation.

Ming Zhang, Shenghan Zhang, Zhenjie Yang, Lekai Chen, Jinliang Zheng, Chao Yang, Chuming Li, Hang Zhou, Yazhe Niu, Yu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Theoretically Guaranteed Policy Improvement Distilled from Model-Based Planning.

Chuming Li, Ruonan Jia, Jie Liu, Yinmin Zhang, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

ACE: Cooperative Multi-Agent Q-learning with Bidirectional Action-Dependency.

Chuming Li, Jie Liu, Yinmin Zhang, Yuhong Wei, Yazhe Niu, Yaodong Yang, Yu Liu, Wanli Ouyang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2019

AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.

Kai Zhang, Nan Nan, Chenghua Li, Xueyi Zou, Ning Kang, Zhan Wang, Hang Xu, Chaofeng Wang, Zheng Li, Linlin Wang, Jun Shi, Shuhang Gu, Wenyu Sun, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Yazhe Niu, Peijin Zhuo, Xiangzhen Kong, Long Sun, Wenhao Wang, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Dongliang Xiong, Shuai Liu, Ruipeng Gang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019