Yite Wang

According to our database, Yite Wang authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Learning to Self-Evolve.

Xiaoyin Chen, Canwen Xu, Yite Wang, Boyi Liu, Zhewei Yao, Yuxiong He

CoRR, March, 2026

DARE-bench: Evaluating Modeling and Instruction Fidelity of LLMs in Data Science.

Fan Shu, Yite Wang, Ruofan Wu, Boyi Liu, Zhewei Yao, Yuxiong He, Feng Yan

CoRR, February, 2026

Agent World Model: Infinity Synthetic Environments for Agentic Reinforcement Learning.

Zhaoyang Wang, Canwen Xu, Boyi Liu, Yite Wang, Siwei Han, Zhewei Yao, Huaxiu Yao, Yuxiong He

CoRR, February, 2026

2024

FullStack Bench: Evaluating LLMs as Full Stack Coders.

Yao Cheng, Jianfeng Chen, Jie Chen, Li Chen, Liyu Chen, Wentao Chen, Zhengyu Chen, Shijie Geng, Aoyan Li, Bo Li, Bowen Li, Linyi Li, Boyi Liu, Jerry Liu, Kaibo Liu, Qi Liu, Shukai Liu, Siyao Liu, Tianyi Liu, Tingkai Liu, Yongfei Liu, Rui Long, Jing Mai, Guanghan Ning, Z. Y. Peng, Kai Shen, Jiahao Su, Jing Su, Tao Sun, Yifan Sun, Yunzhe Tao, Guoyin Wang, Siwei Wang, Xuwu Wang, Yite Wang, Zihan Wang, Jinxiang Xia, Liang Xiang, Xia Xiao, Yongsheng Xiao, Chenguang Xi, Shulin Xin, Jingjing Xu, Shikun Xu, Hongxia Yang, Jack Yang, Yingxiang Yang, Jianbo Yuan, Jun Zhang, Yufeng Zhang, Yuyu Zhang, Shen Zheng, He Zhu, Ming Zhu

CoRR, 2024

LEMON: Lossless model expansion.

Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Double Dynamic Sparse Training for GANs.

Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun

CoRR, 2023

Computing the anti-Ramsey number for trees in complete tripartite graph.

Zemin Jin, Yite Wang, Huawei Ma, Huaping Wang

Appl. Math. Comput., 2023

Balanced Training for Sparse GANs.

Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun

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

NTK-SAP: Improving neural network pruning by aligning training dynamics.

Yite Wang, Dawei Li, Ruoyu Sun

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning.

Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022