A Distributed Reservation and Contention Combined TDMA Protocol for Wireless Avionics Intra-communication Networks. - Xueli Zheng; Zhongwang Zhang; Xinyang Yan; Zhongjiang Yan; Mao Yang 001; Bo Li 089 (IoTaaS, 2020)

Embedding Principle of Loss Landscape of Deep Neural Networks. - Yaoyu Zhang; Zhongwang Zhang; Tao Luo 012; Zhi-Qin John Xu (NeurIPS, 2021)

A variance principle explains why dropout finds flatter minima. - Zhongwang Zhang; Hanxu Zhou; Zhi-Qin John Xu (CoRR, 2021)

Embedding Principle: a hierarchical structure of loss landscape of deep neural networks. - Yaoyu Zhang; Yuqing Li; Zhongwang Zhang; Tao Luo 012; Zhi-Qin John Xu (CoRR, 2021)

RETSR: An Effective Review-Enhanced and Time-Aware Sequential Recommendation Framework. - Weijin Wang; Jin Li; Yilei Wang; Zhongwang Zhang (ICTAI, 2022)

Linear Stability Hypothesis and Rank Stratification for Nonlinear Models. - Yaoyu Zhang; Zhongwang Zhang; Leyang Zhang; Zhiwei Bai; Tao Luo 012; Zhi-Qin John Xu (CoRR, 2022)

Loss Spike in Training Neural Networks. - Zhongwang Zhang; Zhi-Qin John Xu (CoRR, 2023)

Optimistic Estimate Uncovers the Potential of Nonlinear Models. - Yaoyu Zhang; Zhongwang Zhang; Leyang Zhang; Zhiwei Bai; Tao Luo 012; Zhi-Qin John Xu (CoRR, 2023)

Stochastic Modified Equations and Dynamics of Dropout Algorithm. - Zhongwang Zhang; Yuqing Li; Tao Luo 012; Zhi-Qin John Xu (ICLR, 2024)

Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing. - Zhongwang Zhang; Pengxiao Lin; Zhiwei Wang; Yaoyu Zhang; Zhi-Qin John Xu (NeurIPS, 2024)

Anchor function: a type of benchmark functions for studying language models. - Zhongwang Zhang; Zhiwei Wang; Junjie Yao; Zhangchen Zhou; Xiaolong Li; Weinan E; Zhi-Qin John Xu (CoRR, 2024)

Loss Jump During Loss Switch in Solving PDEs with Neural Networks. - Zhiwei Wang; Lulu Zhang; Zhongwang Zhang; Zhi-Qin John Xu (CoRR, 2024)

Initialization is Critical to Whether Transformers Fit Composite Functions by Inference or Memorizing. - Zhongwang Zhang; Pengxiao Lin; Zhiwei Wang; Yaoyu Zhang; Zhi-Qin John Xu (CoRR, 2024)

Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation. - Zhiwei Wang; Yunji Wang; Zhongwang Zhang; Zhangchen Zhou; Hui Jin; Tianyang Hu; Jiacheng Sun; Zhenguo Li; Yaoyu Zhang; Zhi-Qin John Xu (CoRR, 2024)

Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization. - Yaoyu Zhang; Leyang Zhang; Zhongwang Zhang; Zhiwei Bai (CoRR, 2024)

Implicit Regularization of Dropout. - Zhongwang Zhang; Zhi-Qin John Xu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Complexity Control Facilitates Reasoning-Based Compositional Generalization in Transformers. - Zhongwang Zhang; Pengxiao Lin; Zhiwei Wang; Yaoyu Zhang; Zhi-Qin John Xu (CoRR, 2025)

Reasoning Bias of Next Token Prediction Training. - Pengxiao Lin; Zhongwang Zhang; Zhi-Qin John Xu (CoRR, 2025)

An Analysis for Reasoning Bias of Language Models with Small Initialization. - Junjie Yao; Zhongwang Zhang; Zhi-Qin John Xu (CoRR, 2025)

Scalable Complexity Control Facilitates Reasoning Ability of LLMs. - Liangkai Hang; Junjie Yao; Zhiwei Bai; Tianyi Chen; Yang Chen; Rongjie Diao; Hezhou Li; Pengxiao Lin; Zhiwei Wang; Cheng Xu; Zhongwang Zhang; Zhangchen Zhou; et al. (CoRR, 2025)

WebSailor: Navigating Super-human Reasoning for Web Agent. - Kuan Li; Zhongwang Zhang; Huifeng Yin; Liwen Zhang; Litu Ou; Jialong Wu 007; Wenbiao Yin; Baixuan Li; Zhengwei Tao; Xinyu Wang 013; Weizhou Shen; Junkai Zhang; et al. (CoRR, 2025)