Publications (66)
Some new Constructions of Coded Caching Schemes with Reduced Subpacketization
Wentu Song, Kui Cai, Long Shi
We study the problem of constructing centralized coded caching schemes with low subpacketization level based on the placement delivery array (PDA) design framework. PDA design is a…
Wireless Streamlet: A Spectrum-Aware and Cognitive Consensus Protocol for Edge IoT
Taotao Wang, Long Shi, Fang Liu +2
Blockchain offers a decentralized trust framework for the Internet of Things (IoT), yet deploying consensus in spectrum-congested and dynamic wireless edge IoT networks faces funda…
Pooling is not Favorable: Decentralize Mining Power of PoW Blockchain Using Age-of-Work
Long Shi, Taotao Wang, Jun Li +1
In Proof-of-Work (PoW) blockchains, the average waiting time to generate a block is inversely proportional to the computing power of the miner. To reduce the average block generati…
Deep Transfer Learning-based Detection for Flash Memory Channels
Zhen Mei, Kui Cai, Long Shi +3
The NAND flash memory channel is corrupted by different types of noises, such as the data retention noise and the wear-out noise, which lead to unknown channel offset and make the…
Dynamic Virtual Resource Allocation for 5G and Beyond Network Slicing
Fei Song, Jun Li, Chuan Ma +3
The fifth generation and beyond wireless communication will support vastly heterogeneous services and use demands such as massive connection, low latency and high transmission rate…
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
Yumeng Shao, Jun Li, Long Shi +6
Conventional synchronous federated learning (SFL) frameworks suffer from performance degradation in heterogeneous systems due to imbalanced local data size and diverse computing po…
TDC-Cache: A Trustworthy Decentralized Cooperative Caching Framework for Web3.0
Jinyu Chen, Long Shi, Taotao Wang +2
The rapid growth of Web3.0 is transforming the Internet from a centralized structure to decentralized, which empowers users with unprecedented self-sovereignty over their own data.…
On the Subtleties of q-PAM Linear Physical-Layer Network Coding
Long Shi, Soung Chang Liew, Lu Lu
This paper investigates various subtleties of applying linear physical-layer network coding (PNC) with q-level pulse amplitude modulation (q-PAM) in two-way relay channels (TWRC).…
Linking Souls to Humans: Blockchain Accounts with Credible Anonymity for Web 3.0 Decentralized Identity
Taotao Wang, Zibin Lin, Shengli Zhang +3
A decentralized identity system that can provide users with self-sovereign digital identities to facilitate complete control over their own data is paramount to Web 3.0. The accoun…
Rate-Diverse Gaussian Multiple Access: Efficient Encoder and Decoder Designs
Pingping Chen, Long Shi, Yi Fang +2
In this work, we develop a pair of rate-diverse encoder and decoder for a two-user Gaussian multiple access channel (GMAC). The proposed scheme enables the users to transmit with t…
Dynamic Content Update for Wireless Edge Caching via Deep Reinforcement Learning
Pingyang Wu, Jun Li, Long Shi +3
This letter studies a basic wireless caching network where a source server is connected to a cache-enabled base station (BS) that serves multiple requesting users. A critical probl…
Programming on Bitcoin: A Survey of Layer 1 and Layer 2 Technologies in Bitcoin Ecosystem
Guofu Liao, Taotao Wang, Qing Yang +7
This paper surveys innovative protocols that enhance the programming functionality of the Bitcoin blockchain, a key part of the "Bitcoin Ecosystem." Bitcoin utilizes the Unspent Tr…
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks
Xiumei Deng, Jun Li, Long Shi +5
Digital twin (DT) has emerged as a promising solution to enhance manufacturing efficiency in industrial Internet of Things (IIoT) networks. To promote the efficiency and trustworth…
Industrial Metaverse: Enabling Technologies, Open Problems, and Future Trends
Shiying Zhang, Jun Li, Long Shi +4
As an emerging technology that enables seamless integration between the physical and virtual worlds, the Metaverse has great potential to be deployed in the industrial production f…
Benchmarking Generalizable Bimanual Manipulation: RoboTwin Dual-Arm Collaboration Challenge at CVPR 2025 MEIS Workshop
Tianxing Chen, Kaixuan Wang, Zhaohui Yang +96
Embodied Artificial Intelligence (Embodied AI) is an emerging frontier in robotics, driven by the need for autonomous systems that can perceive, reason, and act in complex physical…
When Federated Learning Meets Blockchain: A New Distributed Learning Paradigm
Chuan Ma, Jun Li, Ming Ding +4
Motivated by the explosive computing capabilities at end user equipments, as well as the growing privacy concerns over sharing sensitive raw data, a new machine learning paradigm,…
RSEA-MVGNN: Multi-View Graph Neural Network with Reliable Structural Enhancement and Aggregation
Junyu Chen, Long Shi, Badong Chen
Graph Neural Networks (GNNs) have exhibited remarkable efficacy in learning from multi-view graph data. In the framework of multi-view graph neural networks, a critical challenge l…
Decision Transformer for IRS-Assisted Systems with Diffusion-Driven Generative Channels
Jie Zhang, Jun Li, Zhe Wang +3
In this paper, we propose a novel diffusion-decision transformer (D2T) architecture to optimize the beamforming strategies for intelligent reflecting surface (IRS)-assisted multipl…
Full Diversity Space-Time Block Codes with Low-Complexity Partial Interference Cancellation Group Decoding
Wei Zhang, Long Shi, Xiang-Gen Xia
Partial interference cancellation (PIC) group decoding proposed by Guo and Xia is an attractive low-complexity alternative to the optimal processing for multiple-input multiple-out…
UAV Swarm Enabled Aerial Movable Antenna System for Low-Altitude Economy: From Far-Field to Near-Field Communication
Haiquan Lu, Chao Feng, Yong Zeng +4
Unmanned aerial vehicle (UAV) with the intrinsic three-dimensional (3D) mobility provides an ideal platform for implementing aerial movable antenna (AMA) system enabled by UAV swar…
Space-time fractional diffusion equations and asymptotic behaviors of a coupled continuous time random walk model
Long Shi, Zuguo Yu, Zhi Mao +2
In this paper, we consider a type of continuous time random walk model where the jump length is correlated with the waiting time. The asymptotic behaviors of the coupled jump proba…
Active Sensing-assisted UAV Communications with Jittering: Framework and Performance Analysis
Guangji Chen, Long Shi, Qingqing Wu +2
Providing reliable communication for unmanned aerial vehicles (UAVs) via existing cellular networks is crucial for enabling the rapid growth of the low-altitude economy. However, U…
Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
Xiumei Deng, Jun Li, Chuan Ma +5
The blockchain technology has been extensively studied to enable distributed and tamper-proof data processing in federated learning (FL). Most existing blockchain assisted FL (BFL)…
Dynamic Trajectory and Power Control in Ultra-Dense UAV Networks: A Mean-Field Reinforcement Learning Approach
Fei Song, Zhe Wang, Jun Li +3
In ultra-dense unmanned aerial vehicle (UAV) networks, it is challenging to coordinate the resource allocation and interference management among large-scale UAVs, for providing fle…
Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception
Xiaoyu Li, Peidong Li, Xian Wu +7
Spatio-temporal alignment is crucial for temporal modeling of end-to-end (E2E) perception in autonomous driving (AD), providing valuable structural and textural prior information.…
Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint
Jun Li, Weiwei Zhang, Kang Wei +3
As an emerging artificial intelligence technology, graph neural networks (GNNs) have exhibited promising performance across a wide range of graph-related applications. However, inf…
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning
Zhizhi Peng, Chonghe Zhao, Taotao Wang +7
Machine learning is increasingly deployed through outsourced and cloud-based pipelines, which improve accessibility but also raise concerns about computational integrity, data priv…
LoTA-QAF: Lossless Ternary Adaptation for Quantization-Aware Fine-Tuning
Junyu Chen, Junzhuo Li, Zhen Peng +4
Quantization and fine-tuning are crucial for deploying large language models (LLMs) on resource-constrained edge devices. However, fine-tuning quantized models presents significant…
Diffusion Leaky Zero Attracting Least Mean Square Algorithm and Its Performance Analysis
Long Shi, Haiquan Zhao
Recently, the leaky diffusion least-mean-square (DLMS) algorithm has obtained much attention because of its good performance for high input eigenvalue spread and low signal-to-nois…
Trusted Multi-view Learning for Long-tailed Classification
Chuanqing Tang, Yifei Shi, Guanghao Lin +2
Class imbalance has been extensively studied in single-view scenarios; however, addressing this challenge in multi-view contexts remains an open problem, with even scarcer research…
The subordinated processes controlled by a family of subordinators and corresponding Fokker-Planck type equations
Long Shi, Zu-Guo Yu, Hai-Lan Huang +2
In this work, we consider subordinated processes controlled by a family of subordinators which consist of a power function of time variable and a negative power function of st…
When MoE Meets Blockchain: A Trustworthy Distributed Framework of Large Models
Weihao Zhu, Long Shi, Kang Wei +4
As an enabling architecture of Large Models (LMs), Mixture of Experts (MoE) has become prevalent thanks to its sparsely-gated mechanism, which lowers computational overhead while m…
Information Theoretic Bounds Based Channel Quantization Design for Emerging Memories
Zhen Mei, Kui Cai, Long Shi
Channel output quantization plays a vital role in high-speed emerging memories such as the spin-torque transfer magnetic random access memory (STT-MRAM), where high-precision analo…
Beamforming and Phase Shift Design for HR-IRS-aided Directional Modulation Network with a Malicious Attacker
Feng Shu, Hangjia He, Rongen Dong +5
In this paper, we propose to use hybrid relay-intelligent reflecting surface (HR-IRS) to improve the security performance of directional modulation (DM) system. In particular, the…
Full-Duplex UWA communication with a two-element transducer
Lu Shen, Benjamin Henson, Long Shi +1
In this work we present a full-duplex (FD) underwater acoustic (UWA) communication system simultaneously transmitting and receiving acoustic signals in the same frequency bandwidth…
A Covert Precision Satellite Communication Framework Assisted by Cooperative IRSs
Haoyang Wu, Yunfan Bai, Mei Shen +5
Satellite communication (SatCom), as an effective complement to terrestrial networks, has attracted considerable attention from both academia and industry owing to its wide coverag…
Rotatable Antenna Meets UAV: Towards Dual-Level Channel Reconfiguration Paradigm for ISAC
Shiying Chen, Guangji Chen, Long Shi +2
Integrated sensing and communication (ISAC) is viewed as a key enabler for future wireless networks by sharing the hardware and wireless resources between the functionalities of se…
Coded Caching with Polynomial Subpacketization
Wentu Song, Kui Cai, Long Shi
Consider a centralized caching network with a single server and users. The server has a database of files with each file being divided into packets ( is known as sub…
The Role of Tensor Force in Heavy-Ion Fusion Dynamics
Lu Guo, Cedric Simenel, Long Shi +1
The tensor force is implemented into the time-dependent Hartree-Fock (TDHF) theory so that both exotic and stable collision partners, as well as their dynamics in heavy-ion fusion,…
Decentralized Physical Infrastructure Network (DePIN): Challenges and Opportunities
Zhibin Lin, Taotao Wang, Long Shi +2
The widespread use of the Internet has posed challenges to existing centralized physical infrastructure networks. Issues such as data privacy risks, service disruptions, and substa…
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Xiumei Deng, Jun Li, Kang Wei +6
Adaptive moment estimation (Adam), as a Stochastic Gradient Descent (SGD) variant, has gained widespread popularity in federated learning (FL) due to its fast convergence. However,…
Stable-MoE: Lyapunov-based Token Routing for Distributed Mixture-of-Experts Training over Edge Networks
Long Shi, Bingyan Ou, Kang Wei +3
The sparse activation mechanism of mixture of experts (MoE) model empowers edge intelligence with enhanced training efficiency and reduced computational resource consumption. Howev…
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang, Jun Li, Long Shi +5
Intelligent transportation systems (ITSs) have been fueled by the rapid development of communication technologies, sensor technologies, and the Internet of Things (IoT). Nonetheles…
Nonlinear subspace clustering by functional link neural networks
Long Shi, Lei Cao, Zhongpu Chen +2
Nonlinear subspace clustering based on a feed-forward neural network has been demonstrated to provide better clustering accuracy than some advanced subspace clustering algorithms.…
MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
Zhongpu Chen, Yinfeng Liu, Long Shi +3
Large language models (LLMs) are expected to offer structured Markdown responses for the sake of readability in web chatbots (e.g., ChatGPT). Although there are a myriad of metrics…
Decision Transformers for Wireless Communications: A New Paradigm of Resource Management
Jie Zhang, Jun Li, Long Shi +4
As the next generation of mobile systems evolves, artificial intelligence (AI) is expected to deeply integrate with wireless communications for resource management in variable envi…
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
Jun Li, Yumeng Shao, Kang Wei +5
Federated learning (FL), as a distributed machine learning paradigm, promotes personal privacy by local data processing at each client. However, relying on a centralized server for…
Complex Linear Physical-Layer Network Coding
Long Shi, Soung Chang Liew
This paper presents the results of a comprehensive investigation of complex linear physical-layer network (PNC) in two-way relay channels (TWRC). A critical question at relay R is…
Towards Comprehensive Information-theoretic Multi-view Learning
Long Shi, Yunshan Ye, Wenjie Wang +4
Information theory has inspired numerous advancements in multi-view learning. Most multi-view methods incorporating information-theoretic principles rely an assumption called multi…
Generalized Trusted Multi-view Classification Framework with Hierarchical Opinion Aggregation
Long Shi, Chuanqing Tang, Huangyi Deng +3
Recently, multi-view learning has witnessed a considerable interest on the research of trusted decision-making. Previous methods are mainly inspired from an important paper publish…
Optimal Rate-Diverse Wireless Network Coding
Taotao Wang, Soung Chang Liew, Long Shi
This paper proposes an encoding/decoding framework for achieving the optimal channel capacities of the two-user broadcast channel where each user (receiver) has the message targete…
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
Long Shi, Lei Cao, Yunshan Ye +2
In the context of multi-view clustering, graph learning is recognized as a crucial technique, which generally involves constructing an adaptive neighbor graph based on probabilisti…
ZK-AMS: Credibly Anonymous Admission for Web 3.0 Platforms via Recursive Proof Aggregation
Zibin Lin, Taotao Wang, Shengli Zhang +3
Web 3.0 platforms need an onboarding mechanism that can admit real users at scale without forcing them to reveal identity documents or pay one on-chain verification cost per user.…
Zero-Knowledge Federated Learning: A New Trustworthy and Privacy-Preserving Distributed Learning Paradigm
Taotao Wang, Yuxin Jin, Qing Yang +3
Federated Learning (FL) has emerged as a promising paradigm in distributed machine learning, enabling collaborative model training while preserving data privacy. However, despite i…
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
Cheng Wang, Kang Wei, Lingjun Kong +4
The error correcting performance of multi-level-cell (MLC) NAND flash memory is closely related to the block length of error correcting codes (ECCs) and log-likelihood-ratios (LLRs…
Low-Latency Federated Fine-Tuning for Large Language Models Over Wireless Networks
Zhiwen Pang, Kang Wei, Long Shi +3
Recently, federated large language models (LLMs) have drawn significant attention thanks to coupled capabilities of LLMs and federated learning (FL) that address privacy concerns i…
Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition
Jie Zhang, Yiyang Ni, Jun Li +6
Reconfigurable intelligent surfaces (RISs) have been recognized as a revolutionary technology for future wireless networks. However, RIS-assisted communications have to continuousl…
Quantization Design for Resistive Memories With Multiple Reads
Zhen Mei, Kui Cai, Long Shi +1
Due to the crossbar array architecture, the sneak-path problem severely degrades the data integrity in the resistive random access memory (ReRAM). In this letter, we investigate th…
A Directed Continuous Time Random Walk Model with Jump Length Depending on Waiting Time
Long Shi, Zuguo Yu, Zhi Mao +1
In continuum one-dimensional space, a coupled directed continuous time random walk model is proposed, where the random walker jumps toward one direction and the waiting time betwee…
High-Rate and Full-Diversity Space-Time Block Codes with Low Complexity Partial Interference Cancellation Group Decoding
Long Shi, Wei Zhang, Xiang-Gen Xia
In this paper, we propose a systematic design of space-time block codes (STBC) which can achieve high rate and full diversity when the partial interference cancellation (PIC) group…
BPDQ: Bit-Plane Decomposition Quantization on a Variable Grid for Large Language Models
Junyu Chen, Jungang Li, Jing Xiong +11
Large language model inference is often bounded by memory footprint and bandwidth in resource-constrained deployments, making quantization fundamental to efficient serving. While p…
Enhanced Latent Multi-view Subspace Clustering
Long Shi, Lei Cao, Jun Wang +1
Latent multi-view subspace clustering has been demonstrated to have desirable clustering performance. However, the original latent representation method vertically concatenates the…
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Xiumei Deng, Jun Li, Chuan Ma +4
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learnin…
User Association and Path Planning for UAV-Aided Mobile Edge Computing with Energy Restriction
Yuwen Qian, Feifei Wang, Jun Li +3
Mobile edge computing (MEC) provides computational services at the edge of networks by offloading tasks from user equipments (UEs). This letter employs an unmanned aerial vehicle (…
On Designs of Full Diversity Space-Time Block Codes for Two-User MIMO Interference Channels
Long Shi, Wei Zhang, Xiang-Gen Xia
In this paper, a design criterion for space-time block codes (STBC) is proposed for two-user MIMO interference channels when a group zero-forcing (ZF) algorithm is applied at each…
Probabilistic Caching for Small-Cell Networks with Terrestrial and Aerial Users
Fei Song, Jun Li, Ming Ding +5
The support for aerial users has become the focus of recent 3GPP standardizations of 5G, due to their high maneuverability and flexibility for on-demand deployment. In this paper,…