倪伟｜合肥工业大学｜学者主页

2026

SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression

Ze-Hang Lin, Miao Yang, Hai Zhu, Zheng Lin, Jian-Hao Huang, Jing Yang, Guangjin Pan, Dian-Xin Luan, Zi-Han Fang, Shun-Zhi Zhu, Wei Ni, John Thompson

arXiv.org

DOI

2026

FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing

Xiu-Xian Guan, Zong-Yuan Zhang, Zheng Lin, Ze-Kai Sun, Tian-Dong Duan, Zi-Han Fang, Rui Wang, He-Ming Cui, Wei Ni, Jun Luo, Yuan-Wei Liu

arXiv.org

DOI

2026

Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization

Zheng Lin, Shao-Ke Fang, Yu-Xin Zhang, Jin-Feng Xu, Zi-Han Fang, Zhe Chen, Wei Ni, Jun Luo, S. Chatzinotas

2026

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification

Weiwei Zhuang, Wangze Xie, Qi Zhang, Xia Du, Zi-Han Lin, Zheng Lin, Han-Lin Cai, Ji-Zhe Zhou, Zi-Han Fang, Chi-Man Pun, Wei Ni, Jun Luo

arXiv.org

DOI

2026

GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data

Zheng Lin, Ons Aouedi, Wei Ni, S. Chatzinotas, Xian-Hao Chen

arXiv.org

DOI

2026

Communication-Efficient Satellite-Ground Federated Learning Over Intermittent LEO Satellite Networks

Fei Teng, Si-Jing Mou, Chen Yang, Jin-Liang Yuan, Qi-Yang Zhang, Zheng-Yi Lin, Wei Ni

IEEE Transactions on Mobile Computing

DOI

2026

SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy

Zhuo-Sen Bao, Xia Du, Zheng Lin, Ji-Zhe Zhou, Zi-Han Fang, Jie Wu, Yu-Xin Zhang, Zhe Chen, Chi-Man Pun, Wei Ni, Jun Luo

arXiv.org

DOI

2026

Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning

Jiale Tan, Zheng Lin, Xiang Cai, Ruoxi Zhu, Zi-Han Fang, Pin-Yu Chen, Wei Ni

arXiv.org

DOI

2026

Exploiting Label-Aware Channel Scoring for Adaptive Channel Pruning in Split Learning

Jiale Tan, Xiang-Ming Cai, Zheng-Yi Lin, Ruoxi Zhu, Zi-Han Fang, Ping-Ping Chen, Wei Ni

IEEE Communications Letters

DOI

2026

TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors

Xia Du, Zhuo-Sen Bao, Zheng Lin, Ji-Zhe Zhou, Jia-Wei Lian, Chi-Man Pun, Jun Luo, Wei Ni, S. Chatzinotas

arXiv.org

DOI

2026

Collaborative Caching and QoE-Driven Video Bitrate Adaptation Based on Social and Physical Graphs for Edge Networks

Xue-Wei Zhang, Bo Li, Yuan Ren, Fan Jiang, Wei Ni

IEEE Transactions on Cognitive Communications and Networking

DOI

2026

Game-Based LLM Inference Task Offloading for Edge Computing System

Shoulu Hou, Min Gan, Wei Ni, Zhong-Yi Zhai, Xiu-Lei Liu

IEEE Transactions on Green Communications and Networking

DOI

2026

H$^{3}$DRA: Achieving Resilient Task Scheduling for Zero-Interruption Vehicular Edge Computing in Sixth-Generation Networks

Jin-Yang Zhang, Sai Zou, Minghui Liwang, Yanglong Sun, Wei Ni, Xian-Bin Wang

IEEE Transactions on Vehicular Technology

DOI

2026

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Chenhao Xu, Y. Qu, Ming Ding, Wei Ni, Long-Xiang Gao, Jun Li, H. V. Poor

IEEE Network

DOI

2026

Toward 6G Edge Intelligence: Lightweight LLMs for Intent-Driven Network Automation

Bing Wu, Sai Zou, Minghui Liwang, Wei Ni, Xian-Bin Wang, You-Liang Tian

IEEE Transactions on Mobile Computing

DOI

2026

Large Language Model-Enhanced Deep Reinforcement Learning for Secure Data Collection in Low-Altitude Economy Networking

Linyi Cai, Rui-Chen Zhang, Jia-Cheng Wang, Yu Zhang, Miao-Ran Peng, Tao Jiang, D. Niyato, Wei Ni, Abbas Jamalipour, Dong In Kim

IEEE Transactions on Mobile Computing

DOI

2026

Scheduling and Securing Asynchronous Federated Learning Through Cooperative Jamming

Fengmei Ni, Zheer Zhou, Wei Ni, Xiao-Jing Chen, Guangjin Pan, Yanzan Sun, Shun-Qing Zhang, Abbas Jamalipour

IEEE Transactions on Cognitive Communications and Networking

DOI

2026

Beyond Boundaries: Synergizing SAR, UAV, and Federated Learning for Flood Mapping in Australia

Zi-Heng Sheng, Chen Li, Xuelei Qi, Kai Wu, Wei Ni, Ren-Ping Liu, Lin-Lin Ge

IEEE Geoscience and Remote Sensing Letters

DOI

2026

Privacy-Preserving Multimodal Reasoning for Internet of Things: A Retrieval-Augmented Large Language and Vision Assistant Framework

Tengjun Ni, Xin-Nan Yuan, Sheng-Hong Li, Wei Ni

IEEE Internet of Things Magazine

DOI

2026

Dual-Timescale Caching and Offloading Optimization for Semantic Edge Computing

Xiao-Jing Chen, Jia Xu, Wei Ni, Zhi-Jin Qin, D. Niyato, Yanzan Sun, Shun-Qing Zhang

IEEE Transactions on Vehicular Technology

DOI

2026

Learning to Evade: Adaptive and Stealthy Attack on Reputation-Based Federated Learning

Xi-Ning Liu, Er-Wu Liu, Wei Ni, Han-Fu Zhang, Zhong-Xiang Wei, Ekram Hossain

IEEE Communications Letters

DOI

2026

Structured Agentic Intelligence: Enabling Explainable and Resilient UAV Operations in Low-Altitude Wireless Networks

Bin Liu, Wei Ni, Rafael F. Schaefer, Gerhard P. Fettweis

IEEE Communications Magazine

DOI

2026

Byzantine-Resilient UAV Swarm Federated Reinforcement Learning for Low-Altitude Economy

Jia Wang, Chao-Qun Yang, Cheng-Ze Zhang, Xiang-Hui Cao, Xin Yuan, Wei Ni, D. Niyato

IEEE Transactions on Vehicular Technology

DOI

2025

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing

Ze-Kai Sun, Xiu-Xian Guan, Zheng Lin, Zi-Han Fang, Xiangming Cai, Zhe Chen, Fang-Ming Liu, He-Ming Cui, Jie Xiong, Wei Ni, Chau Yuen

arXiv.org

DOI

2025

HASFL: Heterogeneity-Aware Split Federated Learning Over Edge Computing Systems

Zheng-Yi Lin, Zhe Chen, Xian-Hao Chen, Wei Ni, Yue Gao

IEEE Transactions on Mobile Computing

DOI

2025

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

Zheng Lin, Yu-Xin Zhang, Zhe Chen, Zi-Han Fang, Xian-Hao Chen, Praneeth Vepakomma, Wei Ni, Jun Luo, Yue Gao

IEEE Transactions on Mobile Computing

DOI

2025

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing

Ze-Kai Sun, Xiu-Xian Guan, Zheng Lin, Yuhao Qing, Hao-Ze Song, Zi-Han Fang, Zhe Chen, Fang-Ming Liu, He-Ming Cui, Wei Ni, Jun Luo

IEEE Transactions on Mobile Computing

DOI

2025

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation

Xia Du, Xiaoyuan Liu, Ji-Zhe Zhou, Zheng Lin, Chi-Man Pun, Cong Wu, Tao Li, Zhe Chen, Wei Ni, Jun Luo

IEEE Transactions on Dependable and Secure Computing

DOI

2025

Semi-Supervised Prototype Fusion Medical Image Segmentation Based on U-Net Network

Wei Ni, Kang Xu

2025 18th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

DOI

2025

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures

Payam Abdisarabshali, Fardis Nadimi, Kasra Borazjani, Naji Khosravan, Minghui Liwang, Wei Ni, D. Niyato, Michael Langberg, Seyyedali Hosseinalipour

IEEE Communications Magazine

DOI

2025

Privacy-Preserving Multi-Agent Deep Reinforcement Learning for Effective Resource Auction in Multi-Access Edge Computing

Fei-Ran You, Xin-Nan Yuan, Wei Ni, Abbas Jamalipour

IEEE Transactions on Cognitive Communications and Networking

DOI

2025

Reconfigurable Intelligent Surface-Assisted Wireless Federated Learning With Imperfect Aggregation

Pengcheng Sun, Erwu Liu, Wei Ni, Rui Wang, Zhe Xing, Bofeng Li, Abbas Jamalipour

IEEE Transactions on Communications

DOI

2025

Differentially Private Wireless Federated Learning With Integrated Sensing and Communication

Shuyan Hu, Xin-Nan Yuan, Wei Ni, Xin Wang, Ekram Hossain, H. Poor

IEEE Transactions on Wireless Communications

DOI

2025

Biasing Federated Learning With a New Adversarial Graph Attention Network

Kai Li, Jingjing Zheng, Wei Ni, Hai-Long Huang, Pietro Lio', Falko Dressler, O. Akan

IEEE Transactions on Mobile Computing

DOI

2025

SL-ACC: A Communication-Efficient Split Learning Framework With Adaptive Channel-Wise Compression

Ze-Hang Lin, Zheng Lin, Miao Yang, Jian-Hao Huang, Yu-Xin Zhang, Zi-Han Fang, Xia Du, Zhe Chen, Shun-Zhi Zhu, Wei Ni

IEEE Transactions on Vehicular Technology

DOI

2024

Learn to Unlearn: Insights Into Machine Unlearning

You-Yang Qu, Xin-Nan Yuan, Ming Ding, Wei Ni, Thierry Rakotoarivelo, David Smith

Computer

DOI

2024

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Yulong Wang, Tong Sun, Xin-Nan Yuan, Sheng-Hong Li, Wei Ni

IEEE Transactions on Information Forensics and Security

DOI

2024

Objective-Driven Differentiable Optimization of Traffic Prediction and Resource Allocation for Split AI Inference Edge Networks

Xinchen Lyu, Yue-Wei Li, Ying He, Chen-Shan Ren, Wei Ni, Ren-Ping Liu, Peng-Cheng Zhu, Qi-Mei Cui

IEEE Transactions on Machine Learning in Communications and Networking

DOI

2024

Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments

Pengcheng Sun, Erwu Liu, Wei Ni, Kanglei Yu, Xin-Yu Qu, Rui Wang, Yanlong Bi, Chuan Zhang, Abbas Jamalipour

IEEE Wireless Communications Letters

DOI

2024

Over-the-Air Federated Learning in User-Centric Cell-Free Networks

Ying-Kai Cui, Tie-Jun Lv, Wei-Cai Li, Wei Ni, Ekram Hossain

IEEE Wireless Communications Letters

DOI

2023

基于通道差值模型的导向滤波去雾算法及其FPGA实现

曹红芳，王晓蕾，杜高明，李桢旻，倪伟

《电子科技》

2022

一种基于费马模数的RLWE加解密电路及其FPGA实现

杜高明，任宇翔，王晓蕾，李桢旻，倪伟

《微电子学》

2022

基于Winograd算法的可重构卷积神经网络加速器

袁子昂，倪伟，冉敬楠

《电子科技》

2022

基于FPGA的SqueezeNet推断加速器设计

储萍，倪伟

《电子科技》

2022

FPGA加速器深度卷积神经网络优化计算方法

梁修壮，倪伟

《计算机仿真》

2020

基于UVM的AXI4-Stream可重用验证平台设计

徐春琳，倪伟，宋宇鲲

《合肥工业大学学报(自然科学版)》

2019

基于UVM的AXI总线验证IP设计

刘达，倪伟，徐春琳

《微电子学》

DOI

2018

基于UVM的I2S验证IP设计

倪伟，袁琳，王笑天

《合肥工业大学学报(自然科学版)》

2018

基于RAM存储阵列的并行多通道FIFO设计

袁亚鹏，倪伟，郑强强，张多利，宋宇鲲

《微电子学与计算机》

2017

基于UVM的功能覆盖率驱动SDIO IP验证

倪伟，王笑天

《微电子学》

2015

一种一维可重构计算系统模型的设计

杜高明，张敏，宋宇鲲，张多利，倪伟

《合肥工业大学学报(自然科学版)》

2015

多核混合可重构计算系统MRCS的设计

倪伟，邵响，张溯，宋宇鲲，杨延辉，卜冀春

《电子测量与仪器学报》

精选作品

期刊论文

SL-FAC: A Communication-Efficient Split Learning Framework with Frequency-Aware Compression

FluxShard: Motion-Aware Feature Cache Reuse for Collaborative Video Analytics in Mobile Edge Computing

Redundancy Meets Synergy: Dependency-aware Expert Selection for MoE via Submodular Optimization

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification

GAPSL: A Gradient-Aligned Parallel Split Learning on Heterogeneous Data

Communication-Efficient Satellite-Ground Federated Learning Over Intermittent LEO Satellite Networks

SIDeR: Semantic Identity Decoupling for Unrestricted Face Privacy

Exploiting Adaptive Channel Pruning for Communication-Efficient Split Learning

Exploiting Label-Aware Channel Scoring for Adaptive Channel Pruning in Split Learning

TIGA: Trajectory-Injected Generative Attack against Black-box AIGC Detectors

Collaborative Caching and QoE-Driven Video Bitrate Adaptation Based on Social and Physical Graphs for Edge Networks

Game-Based LLM Inference Task Offloading for Edge Computing System

H$^{3}$DRA: Achieving Resilient Task Scheduling for Zero-Interruption Vehicular Edge Computing in Sixth-Generation Networks

What is the Value of Heuristic Model Selection and Aggregation in Federated Learning?

Toward 6G Edge Intelligence: Lightweight LLMs for Intent-Driven Network Automation

Large Language Model-Enhanced Deep Reinforcement Learning for Secure Data Collection in Low-Altitude Economy Networking

Scheduling and Securing Asynchronous Federated Learning Through Cooperative Jamming

Beyond Boundaries: Synergizing SAR, UAV, and Federated Learning for Flood Mapping in Australia

Privacy-Preserving Multimodal Reasoning for Internet of Things: A Retrieval-Augmented Large Language and Vision Assistant Framework

Dual-Timescale Caching and Offloading Optimization for Semantic Edge Computing

Learning to Evade: Adaptive and Stealthy Attack on Reputation-Based Federated Learning

Structured Agentic Intelligence: Enabling Explainable and Resilient UAV Operations in Low-Altitude Wireless Networks

Byzantine-Resilient UAV Swarm Federated Reinforcement Learning for Low-Altitude Economy

Intra-DP: A High Performance Collaborative Inference System for Mobile Edge Computing

HASFL: Heterogeneity-Aware Split Federated Learning Over Edge Computing Systems

HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models

RRTO: A High-Performance Transparent Offloading System for Model Inference in Mobile Edge Computing

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation

Semi-Supervised Prototype Fusion Medical Image Segmentation Based on U-Net Network

Hierarchical Federated Foundation Models over Wireless Networks for Multi-Modal Multi-Task Intelligence: Integration of Edge Learning with D2D/P2P-Enabled Fog Learning Architectures

Privacy-Preserving Multi-Agent Deep Reinforcement Learning for Effective Resource Auction in Multi-Access Edge Computing

Reconfigurable Intelligent Surface-Assisted Wireless Federated Learning With Imperfect Aggregation

Differentially Private Wireless Federated Learning With Integrated Sensing and Communication

Biasing Federated Learning With a New Adversarial Graph Attention Network

SL-ACC: A Communication-Efficient Split Learning Framework With Adaptive Channel-Wise Compression

Learn to Unlearn: Insights Into Machine Unlearning

Minimizing Adversarial Training Samples for Robust Image Classifiers: Analysis and Adversarial Example Generator Design

Objective-Driven Differentiable Optimization of Traffic Prediction and Resource Allocation for Split AI Inference Edge Networks

Dual-Segment Clustering Strategy for Hierarchical Federated Learning in Heterogeneous Wireless Environments

Over-the-Air Federated Learning in User-Centric Cell-Free Networks

基于通道差值模型的导向滤波去雾算法及其FPGA实现

一种基于费马模数的RLWE加解密电路及其FPGA实现

基于Winograd算法的可重构卷积神经网络加速器

基于FPGA的SqueezeNet推断加速器设计

FPGA加速器深度卷积神经网络优化计算方法

基于UVM的AXI4-Stream可重用验证平台设计

基于UVM的AXI总线验证IP设计

基于UVM的I2S验证IP设计

基于RAM存储阵列的并行多通道FIFO设计

基于UVM的功能覆盖率驱动SDIO IP验证

一种一维可重构计算系统模型的设计

多核混合可重构计算系统MRCS的设计

研究方向