Naifu Zhang - RankMe

28 papers A 1B 1Journal 18Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	InterveneBench: Benchmarking LLMs for Intervention Reasoning and Causal Study Design in Real Social Systems. CoRR Shaojie Shi, Zhengyu Shi, Lingran Zheng, Xinyu Su, Anna Xie, Bohao Lv, Rui Xu, Zijian Chen, Zhichao Chen, Guolei Liu, Naifu Zhang, Mingjian Dong, Zhuo Quan, Bohao Chen, Teqi Hao, Yuan Qi, Yinghui Xu, Libo Wu
2025	J	`jnl`	Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models. CoRR Naifu Zhang, Wei Tao, Xi Xiao, Qianpu Sun, Yuxin Zheng, Wentao Mo, Peiqiang Wang, Nan Zhang
2025	A	`conf`	Automated Manipulation of Magnetic Microswarms for Temporal Logic Cargo Delivery Tasks in Complex Environments. IROS Naifu Zhang, Tao Luo, Chongjie Jiang, Xiang Yin, Xiao Yu, Rongrong Ji
2025	J	`jnl`	Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. CoRR Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan
2025	J	`jnl`	Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. CoRR Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu
2023	J	`jnl`	Coded Over-the-Air Computation for Model Aggregation in Federated Learning. IEEE Commun. Lett. Naifu Zhang, Meixia Tao, Jia Wang, Shuo Shao
2023	J	`jnl`	Event-Based Asymptotic Tracking Control for Constrained MIMO Nonlinear Systems via a Single-Parameter Adaptation Method. IEEE Trans. Syst. Man Cybern. Syst. Zhiguang Feng, Rui-Bing Li, Naifu Zhang, Ligang Wu
2023	J	`jnl`	Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach. IEEE Trans. Commun. Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu
2023	J	`jnl`	Knowledge Selection and Local Updating Optimization for Federated Knowledge Distillation With Heterogeneous Models. IEEE J. Sel. Top. Signal Process. Dong Wang, Naifu Zhang, Meixia Tao, Xu Chen
2022	J	`jnl`	A Low-Complexity and Adaptive Distributed Source Coding Design for Model Aggregation in Distributed Learning. IEEE Open J. Commun. Soc. Naifu Zhang, Meixia Tao
2022	—	`conf`	Federated Multi-Agent Reinforcement Learning for Collaborative Edge Caching in Content Delivery Networks. WCSP Jialing Chang, Naifu Zhang, Meixia Tao, Hu Tuo
2022	J	`jnl`	Fundamental Limits of Communication Efficiency for Model Aggregation in Distributed Learning: A Rate-Distortion Approach. CoRR Naifu Zhang, Meixia Tao, Jia Wang, Fan Xu
2021	—	`conf`	Adaptive Clustering-Based Model Aggregation for Federated Learning with Imbalanced Data. SPAWC Dong Wang, Naifu Zhang, Meixia Tao
2021	—	`conf`	An Adaptive Distributed Source Coding Design for Distributed Learning. WCSP Naifu Zhang, Meixia Tao
2021	J	`jnl`	Gradient Statistics Aware Power Control for Over-the-Air Federated Learning. IEEE Trans. Wirel. Commun. Naifu Zhang, Meixia Tao
2021	J	`jnl`	HD-eXplosion: visualization of hydrogen-deuterium exchange data as chiclet and volcano plots with statistical filtering. Bioinform. Naifu Zhang, Xiaohe Yu, Xinchao Zhang, Sheena D'arcy
2021	—	`conf`	LEOC: A Principled Method in Integrating Reinforcement Learning and Classical Control Theory. L4DC Naifu Zhang, Nicholas Capel
2021	—	`conf`	MQA: Answering the Question via Robotic Manipulation. Robotics: Science and Systems Yuhong Deng, Di Guo, Xiaofeng Guo, Naifu Zhang, Huaping Liu, Fuchun Sun
2021	J	`jnl`	Rate Region for Indirect Multiterminal Source Coding in Federated Learning. CoRR Naifu Zhang, Meixia Tao, Jia Wang
2021	B	`conf`	Sum-Rate-Distortion Function for Indirect Multiterminal Source Coding in Federated Learning. ISIT Naifu Zhang, Meixia Tao, Jia Wang
2020	J	`jnl`	Extended Radial Basis Function Controller for Reinforcement Learning. CoRR Nicholas Capel, Naifu Zhang
2020	—	`conf`	Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. ICC Workshops Naifu Zhang, Meixia Tao
2020	J	`jnl`	Gradient Statistics Aware Power Control for Over-the-Air Federated Learning in Fading Channels. CoRR Naifu Zhang, Meixia Tao
2020	J	`jnl`	MQA: Answering the Question via Robotic Manipulation. CoRR Yuhong Deng, Naifu Zhang, Di Guo, Huaping Liu, Fuchun Sun, Chen Pang, Jing Pang
2018	—	`conf`	A Belief Propagation Approach for Caching Strategy Design in D2D Networks. ICC Workshops Shengqi Hao, Naifu Zhang, Meixia Tao
2018	J	`jnl`	Fitness-Aware Coded Multicasting for Decentralized Caching With Finite File Packetization. IEEE Wirel. Commun. Lett. Naifu Zhang, Meixia Tao
2018	—	`conf`	Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching. ICC Workshops Naifu Zhang, Kaibin Zheng, Meixia Tao
2018	J	`jnl`	Using Grouped Linear Prediction and Accelerated Reinforcement Learning for Online Content Caching. CoRR Naifu Zhang, Kaibin Zheng, Meixia Tao