Estimation of Leaf Water Use Efficiency Threshold Values for Water Stress in Winter Wheat (Triticum aestivum L.). - Xinqiang Qiu; Yushun Zhang; Haixia Qin; Wang Min; Yanping Wang; Haochen Yang; Zhenguang Lu (J. Sensors, 2020)

Effect of Microsprinkler Irrigation under Plastic Film on Photosynthesis and Fruit Yield of Greenhouse Tomato. - Mingzhi Zhang; Zhenguang Lu; Qingjun Bai; Yushun Zhang; Xinqiang Qiu; Haixia Qin; Haochen Yang; Yanping Wang (J. Sensors, 2020)

Layered Model Aggregation based Federated Learning in Mobile Edge Networks. - Qiming Cao; Xing Zhang 001; Yushun Zhang; Yongdong Zhu (ICCC, 2021)

When Expressivity Meets Trainability: Fewer than $n$ Neurons Can Work. - Jiawei Zhang 007; Yushun Zhang; Mingyi Hong 001; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2021)

Identification of Differentially Expressed Genes Associated with Idiopathic Pulmonary Arterial Hypertension by Integrated Bioinformatics Approaches. - Enfa Zhao; Hang Xie; Yushun Zhang (J. Comput. Biol., 2021)

Effects of Micropore Group Spacing and Irrigation Amount on Soil Respiration and Yield of Tomato with Microsprinkler Irrigation under Plastic Film in Greenhouse. - Mingzhi Zhang; Xiaoqun Yan; Zhenguang Lu; Qingjun Bai; Yushun Zhang; Donglin Wang; Yuangang Zhou; Yuqing Yin (J. Sensors, 2021)

Multi-task Federated Learning based on Client Scheduling in Mobile Edge Computing. - Yushun Zhang; Xing Zhang 001; Yizhuo Cai (ICCC, 2022)

HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning. - Ziniu Li; Yingru Li; Yushun Zhang; Tong Zhang 001; Zhi-Quan Luo (ICLR, 2022)

Adam Can Converge Without Any Modification On Update Rules. - Yushun Zhang; Congliang Chen; Naichen Shi; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2022)

Provable Adaptivity in Adam. - Bohan Wang; Yushun Zhang; Huishuai Zhang; Qi Meng; Zhi-Ming Ma; Tie-Yan Liu; Wei Chen 034 (CoRR, 2022)

Uncertainty and Explainable Analysis of Machine Learning Model for Reconstruction of Sonic Slowness Logs. - Hua Wang; Yuqiong Wu; Yushun Zhang; Fuqiang Lai; Zhou Feng; Bing Xie; Ailin Zhao (CoRR, 2023)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. - Ziniu Li; Tian Xu 003; Yushun Zhang; Yang Yu 001; Ruoyu Sun 001; Zhi-Quan Luo (CoRR, 2023)

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. - Ziniu Li; Tian Xu 003; Yushun Zhang; Zhihang Lin; Yang Yu 001; Ruoyu Sun 001; Zhi-Quan Luo (ICML, 2024)

Provable Adaptivity of Adam under Non-uniform Smoothness. - Bohan Wang; Yushun Zhang; Huishuai Zhang; Qi Meng; Ruoyu Sun 001; Zhi-Ming Ma; Tie-Yan Liu; Zhi-Quan Luo; Wei Chen 034 (KDD, 2024)

Why Transformers Need Adam: A Hessian Perspective. - Yushun Zhang; Congliang Chen; Tian Ding; Ziniu Li; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2024)

Adam-mini: Use Fewer Learning Rates To Gain More. - Yushun Zhang; Congliang Chen; Ziniu Li; Tian Ding; Chenwei Wu 002; Yinyu Ye 001; Zhi-Quan Luo; Ruoyu Sun 001 (CoRR, 2024)

MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. - Yupeng Chen; Senmiao Wang; Zhihang Lin; Zeyu Qin; Yushun Zhang; Tian Ding; Ruoyu Sun 001 (CoRR, 2024)

FedACT: An adaptive chained training approach for federated learning in computing power networks. - Min Wei; Qianying Zhao; Bo Lei; Yizhuo Cai; Yushun Zhang; Xing Zhang 001; Wenbo Wang 007 (Digit. Commun. Networks, 2024)

Communication efficiency optimization of federated learning for computing and network convergence of 6G networks. - Yizhuo Cai; Bo Lei; Qianying Zhao; Jing Peng; Min Wei; Yushun Zhang; Xing Zhang 001 (Frontiers Inf. Technol. Electron. Eng., 2024)

Adam-mini: Use Fewer Learning Rates To Gain More. - Yushun Zhang; Congliang Chen; Ziniu Li; Tian Ding; Chenwei Wu 002; Diederik P. Kingma; Yinyu Ye 001; Zhi-Quan Luo; Ruoyu Sun 001 (ICLR, 2025)

Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective. - Senmiao Wang; Yupeng Chen; Yushun Zhang; Ruoyu Sun 001; Tian Ding (Trans. Mach. Learn. Res., 2025)

Towards Quantifying the Hessian Structure of Neural Networks. - Zhaorui Dong; Yushun Zhang; Zhi-Quan Luo; Jianfeng Yao; Ruoyu Sun 001 (CoRR, 2025)

XXt Can Be Faster. - Dmitry Rybin; Yushun Zhang; Zhi-Quan Luo (CoRR, 2025)

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines. - Yumeng Fu; Jiayin Zhu; Lingling Zhang; Bo Zhao; Shaoxuan Ma; Yushun Zhang; Yanrui Wu; Wenjun Wu (CoRR, 2025)