12 citations · 62 across the 39 of their papers we have counts for
41 papers
TopoCompress: Topology Aware Token Compression Algorithm for Distributed Edge MoE Inference
Ning Li, Xinyu Wang, Xin Yuan +3
Mixture-of-experts (MoE) models improve capacity with moderate overhead by sparsely activating experts per token. However, deploying MoE across resource-constrained edge servers in…
HetRoute Heterogeneous and Cost-aware Collaborative Routing Framework for Distributed Edge MoE Inference
Xin Yuan, Ning Li, Wenchao Xu +2
Mixture-of-Experts (MoE) models have become a dominant architecture for large-scale AI services, yet deploying them over geo-distributed heterogeneous edge servers remains challeng…
TrimMoE A communication aware and adaptive depth framework for distributed edge inference
Ning Li, Shuting Bai, Xin Yuan +3
Serving Mixture-of-Experts (MoE) large language models across distributed edge servers is bottlenecked by the cross-server expert transmission. The existing approaches mainly focus…
OrderMoE: An expert similarity driven distributed edge MoE inference
Xin Yuan, Ning Li, Quan Chen +2
Although mixture-of-experts, MoE, models have been increasingly adopted to scale large language models with moderate computation cost, it remains challenging to deploy MoE inferenc…
A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
Xiucheng Wang, Yuhao Pan, Nan Cheng +9
Radio maps (RMs) provide the digital representation of the wireless propagation environment, mapping complex geographical and topological boundary conditions to critical spatial-sp…
Graph Neural Network-Based Multicast Routing for On-Demand Streaming Services in 6G Networks
Xiucheng Wang, Zien Wang, Nan Cheng +3
The increase of bandwidth-intensive applications in sixth-generation (6G) wireless networks, such as real-time volumetric streaming and multi-sensory extended reality, demands inte…
Cross-Receiver Generalization for RF Fingerprint Identification via Feature Disentanglement and Adversarial Training
Yuhao Pan, Xiucheng Wang, Fushuo Huo +2
Radio frequency fingerprint identification (RFFI) is a key technique for wireless network security, leveraging intrinsic hardware imperfections to enable transmitter identification…
CoMoE: Collaborative Optimization of Expert Aggregation and Offloading for MoE-based LLMs at Edge
Muqing Li, Ning Li, Xin Yuan +4
The proliferation of large language models (LLMs) has driven the adoption of Mixture-of-Experts (MoE) architectures as a promising solution to scale model capacity while controllin…
Efficient Edge LLMs Deployment via HessianAware Quantization and CPU GPU Collaborative
Tuo Zhang, Ning Li, Xin Yuan +4
With the breakthrough progress of large language models (LLMs) in natural language processing and multimodal tasks, efficiently deploying them on resource-constrained edge devices…
Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges
Senyao Li, Haozhao Wang, Wenchao Xu +6
As large language models (LLMs) evolve, deploying them solely in the cloud or compressing them for edge devices has become inadequate due to concerns about latency, privacy, cost,…
On-Demand Multimedia Delivery in 6G: An Optimal-Cost Steiner Tree Approach
Zien Wang, Xiucheng Wang, Nan Cheng +4
The exponential growth of multimedia data traffic in 6G networks poses unprecedented challenges for immersive communication, where ultra-high-definition, multi-quality streaming mu…
A Channel-Triggered Backdoor Attack on Wireless Semantic Image Reconstruction
Jialin Wan, Jinglong Shen, Nan Cheng +5
This paper investigates backdoor attacks in image-oriented semantic communications. The threat of backdoor attacks on symbol reconstruction in semantic communication (SemCom) syste…
Deploying Foundation Model Powered Agent Services: A Survey
Wenchao Xu, Jinyu Chen, Peirong Zheng +8
Foundation model (FM) powered agent services are regarded as a promising solution to develop intelligent and personalized applications for advancing toward Artificial General Intel…
Unleashing the Power of Continual Learning on Non-Centralized Devices: A Survey
Yichen Li, Haozhao Wang, Wenchao Xu +9
Non-Centralized Continual Learning (NCCL) has become an emerging paradigm for enabling distributed devices such as vehicles and servers to handle streaming data from a joint non-st…
A QoE-Aware Split Inference Accelerating Algorithm for NOMA-based Edge Intelligence
Xin Yuan, Ning Li, Quan Chen +3
Even the AI has been widely used and significantly changed our life, deploying the large AI models on resource limited edge devices directly is not appropriate. Thus, the model spl…
GNN-Empowered Effective Partial Observation MARL Method for AoI Management in Multi-UAV Network
Yuhao Pan, Xiucheng Wang, Zhiyao Xu +3
Unmanned Aerial Vehicles (UAVs), due to their low cost and high flexibility, have been widely used in various scenarios to enhance network performance. However, the optimization of…
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo, Wenchao Xu, Zhong Zhang +3
While Large Vision-Language Models (LVLMs) have rapidly advanced in recent years, the prevalent issue known as the `hallucination' problem has emerged as a significant bottleneck,…
Detached and Interactive Multimodal Learning
Yunfeng Fan, Wenchao Xu, Haozhao Wang +2
Recently, Multimodal Learning (MML) has gained significant interest as it compensates for single-modality limitations through comprehensive complementary information within multimo…
Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles
Jianzhe Xue, Dongcheng Yuan, Yu Sun +5
The growing number of connected vehicles offers an opportunity to leverage internet of vehicles (IoV) data for traffic state estimation (TSE) which plays a crucial role in intellig…
ST-Mamba: Spatial-Temporal Mamba for Traffic Flow Estimation Recovery using Limited Data
Doncheng Yuan, Jianzhe Xue, Jinshan Su +2
Traffic flow estimation (TFE) is crucial for urban intelligent traffic systems. While traditional on-road detectors are hindered by limited coverage and high costs, cloud computing…
Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation
Zhaoyi Lu, Wenchao Xu, Ming Tu +3
Radio Frequency (RF) fingerprinting is to identify a wireless device from its uniqueness of the analog circuitry or hardware imperfections. However, unlike the MAC address which ca…
OTAS: An Elastic Transformer Serving System via Token Adaptation
Jinyu Chen, Wenchao Xu, Zicong Hong +4
Transformer model empowered architectures have become a pillar of cloud services that keeps reshaping our society. However, the dynamic query loads and heterogeneous user requireme…
Disentangle Estimation of Causal Effects from Cross-Silo Data
Yuxuan Liu, Haozhao Wang, Shuang Wang +4
Estimating causal effects among different events is of great importance to critical fields such as drug development. Nevertheless, the data features associated with events may be d…
Balanced Multi-modal Federated Learning via Cross-Modal Infiltration
Yunfeng Fan, Wenchao Xu, Haozhao Wang +2
Federated learning (FL) underpins advancements in privacy-preserving distributed computing by collaboratively training neural networks without exposing clients' raw data. Current F…