Mingze Wang - RankMe

54 papers A* 12B 1Journal 35Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating LLM Pre-Training through Flat-Direction Dynamics Enhancement. CoRR Shuchen Zhu, Rizhen Hu, Mingze Wang, Mou Sun, Xue Wang, Kun Yuan, Zaiwen Wen
2026	J	`jnl`	Associative Recurrent Bilinear Optimization for Domain-Generalized Binary Neural Networks. Int. J. Comput. Vis. Sheng Xu, Yanjing Li, Mingze Wang, Chuanjian Liu, Baochang Zhang
2026	A*	`conf`	CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution. AAAI Baoliang Tian, Yuxuan Si, Jilong Wang, Lingyao Li, Zhongyuan Bao, Zineng Zhou, Tao Wang, Sixu Li, Ziyao Xu, Mingze Wang, Zhouzhuo Zhang, Zhihao Wang, Yike Yun, Ke Tian, Ning Yang, Minghui Qiu
2026	J	`jnl`	Fast Catch-Up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws. CoRR Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu
2026	A*	`conf`	On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. AAAI Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2026	J	`jnl`	On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD. CoRR Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2025	J	`jnl`	A Single Merging Suffices: Recovering Server-based Learning Performance in Decentralized Learning. CoRR Tongtian Zhu, Tianyu Zhang, Mingze Wang, Zhanpeng Zhou, Can Wang
2025	J	`jnl`	CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution. CoRR Baoliang Tian, Yuxuan Si, Jilong Wang, Lingyao Li, Zhongyuan Bao, Zineng Zhou, Tao Wang, Sixu Li, Ziyao Xu, Mingze Wang, Zhouzhuo Zhang, Zhihao Wang, Yike Yun, Ke Tian, Ning Yang, Minghui Qiu
2025	J	`jnl`	Design of adaptive readjustable prescribed performance controller for second-order disturbed systems. J. Syst. Control. Eng. Xiaodong Wang, Shenmin Song, Mingze Wang, Xiaoping Shi
2025	J	`jnl`	GradPower: Powering Gradients for Faster Language Model Pre-Training. CoRR Mingze Wang, Jinbo Wang, Jiaqi Zhang, Wei Wang, Peng Pei, Xunliang Cai, Weinan E, Lei Wu
2025	—	`conf`	Leveraging LLMs for Influence Path Planning in Proactive Recommendation. WWW (Companion Volume) Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng
2025	J	`jnl`	Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward. CoRR Guanhua Huang, Tingqiang Xu, Mingze Wang, Qi Yi, Xue Gong, Siheng Li, Ruibin Xiong, Kejiao Li, Yuhao Jiang, Bo Zhou
2025	J	`jnl`	On the Expressive Power of Mixture-of-Experts for Structured Complex Tasks. CoRR Mingze Wang, Weinan E
2025	A*	`conf`	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training. ICLR Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
2025	A*	`conf`	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. ICML Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
2025	J	`jnl`	The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training. CoRR Jinbo Wang, Mingze Wang, Zhanpeng Zhou, Junchi Yan, Weinan E, Lei Wu
2025	—	`conf`	Tunable LLM-based Proactive Recommendation Agent. ACL (1) Mingze Wang, Chongming Gao, Wenjie Wang, Yangyang Li, Fuli Feng
2024	J	`jnl`	A Hierarchical Network-Based Method for Predicting Driver Traffic Violations. IEEE Access Mingze Wang, Naiwen Li
2024	J	`jnl`	A Survey of Indoor 3D Reconstruction Based on RGB-D Cameras. IEEE Access Jinlong Zhu, Changbo Gao, Qiucheng Sun, Mingze Wang, Zhengkai Deng
2024	A*	`conf`	Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling. ICML Mingze Wang, Zeping Min, Lei Wu
2024	—	`conf`	Are AI-Generated Text Detectors Robust to Adversarial Perturbations? ACL (1) Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang
2024	J	`jnl`	Are AI-Generated Text Detectors Robust to Adversarial Perturbations? CoRR Guanhua Huang, Yuchen Zhang, Zhe Li, Yongjian You, Mingze Wang, Zhouwang Yang
2024	J	`jnl`	CCExpert: Advancing MLLM Capability in Remote Sensing Change Captioning with Difference-Aware Integration and a Foundational Dataset. CoRR Zhiming Wang, Mingze Wang, Sheng Xu, Yanjing Li, Baochang Zhang
2024	J	`jnl`	How Transformers Implement Induction Heads: Approximation and Optimization Analysis. CoRR Mingze Wang, Ruoxi Yu, Weinan E, Lei Wu
2024	A*	`conf`	Improving Generalization and Convergence by Enhancing Implicit Regularization. NeurIPS Mingze Wang, Jinbo Wang, Haotian He, Zilin Wang, Guanhua Huang, Feiyu Xiong, Zhiyu Li, Weinan E, Lei Wu
2024	J	`jnl`	Improving Generalization and Convergence by Enhancing Implicit Regularization. CoRR Mingze Wang, Haotian He, Jinbo Wang, Zilin Wang, Guanhua Huang, Feiyu Xiong, Zhiyu Li, Weinan E, Lei Wu
2024	J	`jnl`	Incorporate LLMs with Influential Recommender System. CoRR Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng
2024	A*	`conf`	Learning 1-Bit Tiny Object Detector with Discriminative Feature Refinement. ICML Sheng Xu, Mingze Wang, Yanjing Li, Mingbao Lin, Baochang Zhang, David S. Doermann, Xiao Sun
2024	J	`jnl`	Motion characteristics of rapeseeds and wheat seeds within mixing components of air-assisted centralized metering device based on DEM-CFD. Comput. Electron. Agric. Lei Wang, Yitao Liao, Mengliang Li, Ning Ren, Xiuming Zheng, Mingze Wang, Qingxi Liao
2024	A*	`conf`	Parameter Symmetry and Noise Equilibrium of Stochastic Gradient Descent. NeurIPS Liu Ziyin, Mingze Wang, Hongchao Li, Lei Wu
2024	J	`jnl`	RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model. IEEE Trans. Geosci. Remote. Sens. Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
2024	J	`jnl`	RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. CoRR Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
2024	J	`jnl`	Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training. CoRR Zhanpeng Zhou, Mingze Wang, Yuchen Mao, Bingrui Li, Junchi Yan
2024	J	`jnl`	The Implicit Bias of Gradient Noise: A Symmetry Perspective. CoRR Liu Ziyin, Mingze Wang, Lei Wu
2024	A*	`conf`	Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling. NeurIPS Mingze Wang, Weinan E
2024	J	`jnl`	Understanding the Expressive Power and Mechanisms of Transformer for Sequence Modeling. CoRR Mingze Wang, Weinan E
2023	J	`jnl`	A Three-Dimensional Structured Light Vision System by Using a Combination of Single-Line and Three-Line Lasers. Sensors Qiucheng Sun, Zeming Ren, Jinlong Zhu, Weiyu Dai, Mingze Wang, Mingyu Sun
2023	J	`jnl`	Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling. CoRR Mingze Wang, Zeping Min, Lei Wu
2023	—	`conf`	An Enhanced Visual SLAM Algorithm for Indoor Scenes based on ORB Features. CNIOT Jin Wang, Xiaobo Sun, Mingze Wang, Yufei Xie, Ze Wang
2023	—	`conf`	Q-YOLO: Efficient Inference for Real-Time Object Detection. ACPR (3) Mingze Wang, Huixin Sun, Jun Shi, Xuhui Liu, Xianbin Cao, Luping Zhang, Baochang Zhang
2023	J	`jnl`	Q-YOLO: Efficient Inference for Real-time Object Detection. CoRR Mingze Wang, Huixin Sun, Jun Shi, Xuhui Liu, Baochang Zhang, Xianbin Cao
2023	J	`jnl`	The Noise Geometry of Stochastic Gradient Descent: A Quantitative and Analytical Characterization. CoRR Mingze Wang, Lei Wu
2023	A*	`conf`	Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks. NeurIPS Mingze Wang, Chao Ma
2023	J	`jnl`	Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks. CoRR Mingze Wang, Chao Ma
2023	—	`conf`	YOLOv4-based semantic information extraction for indoor scene targets fetching algorithm research. CNIOT Jin Wang, Xiaobo Sun, Mingze Wang, Changwu Li, Xiaoman Tang
2022	B	`conf`	CMT-MQ: Multi-QoS Aware Adaptive Concurrent Multipath Transfer With Reinforcement Learning. IWCMC Deguang Wang, Mingze Wang, Tao Zhang, Shujie Yang, Changqiao Xu
2022	A*	`conf`	Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks. NeurIPS Mingze Wang, Chao Ma
2022	J	`jnl`	Early Stage Convergence and Global Convergence of Training Mildly Parameterized Neural Networks. CoRR Mingze Wang, Chao Ma
2022	J	`jnl`	Generalization Error Bounds for Deep Neural Networks Trained by SGD. CoRR Mingze Wang, Chao Ma
2022	J	`jnl`	Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars. CoRR Mingze Wang, Ziyang Zhang, Grace Hui Yang
2022	J	`jnl`	Task assignment for hybrid scenarios in spatial crowdsourcing: A Q-Learning-based approach. Appl. Soft Comput. Mingze Wang, Yingjie Wang, Akshita Maradapu Vera Venkata Sai, Zhaowei Liu, Yang Gao, Xiangrong Tong, Zhipeng Cai
2022	A*	`conf`	The alignment property of SGD noise and how it helps select flat minima: A stability analysis. NeurIPS Lei Wu, Mingze Wang, Weijie Su
2022	J	`jnl`	When does SGD favor flat minima? A quantitative characterization via linear stability. CoRR Lei Wu, Mingze Wang, Weijie Su
2021	J	`jnl`	A Novel Lookup Table Based Direct Torque Control for OW-PMSM Drives. IEEE Trans. Ind. Electron. Mingze Wang, Dan Sun, Zhihao Zheng, Heng Nian