NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (104)

eess.SP2024

A Survey of Predictive Maintenance: Systems, Purposes and Approaches

Tianwen Zhu, Yongyi Ran, Xin Zhou +1

cs.CV2023

Rethinking the Localization in Weakly Supervised Object Localization

Rui Xu, Yong Luo, Han Hu +3

cs.LG2025

Low-Precision Training of Large Language Models: Methods, Challenges, and Opportunities

Zhiwei Hao, Jianyuan Guo, Li Shen +6

cs.DC2021

A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning

Huaizheng Zhang, Meng Shen, Yizheng Huang +4

cs.LG2024

Federated Learning with Only Positive Labels by Exploring Label Correlations

Xuming An, Dui Wang, Li Shen +5

cond-mat.mtrl-sci2022

Machine Learning for a Sustainable Energy Future

Zhenpeng Yao, Yanwei Lum, Andrew Johnston +6

cs.DC2021

ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems

Yizheng Huang, Huaizheng Zhang, Yonggang Wen +2

cs.MM2018

Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis

Guanyu Gao, Linsen Dong, Huaizheng Zhang +2

cs.LG2026

DCoPilot: Generative AI-Empowered Policy Adaptation for Dynamic Data Center Operations

Minghao Li, Ruihang Wang, Rui Tan +1

cs.AI2025

Fusion Intelligence for Digital Twinning AI Data Centers: A Synergistic GenAI-PhyAI Approach

Ruihang Wang, Minghao Li, Zhiwei Cao +3

cs.DC2020

MLModelCI: An Automatic Cloud Platform for Efficient MLaaS

Huaizheng Zhang, Yuanming Li, Yizheng Huang +3

stat.ML2019

Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain

Yong Luo, Yonggang Wen, Tongliang Liu +1

cs.LG2026

SpecForge: A Flexible and Efficient Open-Source Training Framework for Speculative Decoding

Shenggui Li, Chao Wang, Yikai Zhu +14

cs.CR2021

On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times

Yao Fu, Yipeng Zhou, Di Wu +3

cs.CL2026

DSB: Dynamic Sliding Block Scheduling for Diffusion LLMs

Lizhuo Luo, Shenggui Li, Yonggang Wen +1

cs.DC2024

TorchGT: A Holistic System for Large-scale Graph Transformer Training

Meng Zhang, Jie Sun, Qinghao Hu +4

cs.MM2016

Resource Provisioning and Profit Maximization for Transcoding in Information Centric Networking

Guanyu Gao, Yonggang Wen, Cedric Westphal

cs.LG2022

Smart Multi-tenant Federated Learning

Weiming Zhuang, Yonggang Wen, Shuai Zhang

cs.DC2024

Characterization of Large Language Model Development in the Datacenter

Qinghao Hu, Zhisheng Ye, Zerui Wang +9

cs.DC2021

Collaborative Unsupervised Visual Representation Learning from Decentralized Data

Weiming Zhuang, Xin Gan, Yonggang Wen +2

cs.DC2026

PromptTuner: SLO-Aware Elastic System for LLM Prompt Tuning

Wei Gao, Peng Sun, Dmitrii Ustiugov +2

cs.LG2025

Advancing Generative Artificial Intelligence and Large Language Models for Demand Side Management with Internet of Electric Vehicles

Hanwen Zhang, Ruichen Zhang, Wei Zhang +3

cs.LG2025

ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning Systems

Qiaoling Chen, Zijun Liu, Peng Sun +6

stat.ML2018

Transfer Metric Learning: Algorithms, Applications and Outlooks

Yong Luo, Yonggang Wen, Ling-Yu Duan +1

cs.MM2018

DeepQoE: A unified Framework for Learning to Predict Video QoE

Huaizheng Zhang, Han Hu, Guanyu Gao +2

eess.SY2020

Deep Reinforcement Learning for Tropical Air Free-Cooled Data Center Control

Duc Van Le, Rongrong Wang, Yingbo Liu +3

cs.CR2019

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Wenbo Wang, Dinh Thai Hoang, Peizhao Hu +5

cs.LG2022

Divergence-aware Federated Self-Supervised Learning

Weiming Zhuang, Yonggang Wen, Shuai Zhang

stat.ML2015

Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

Yong Luo, Dacheng Tao, Yonggang Wen +2

cs.AI2025

Learning from models beyond fine-tuning

Hongling Zheng, Li Shen, Anke Tang +5

cs.LG2021

InferBench: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System

Huaizheng Zhang, Yizheng Huang, Yonggang Wen +2

cs.AI2026

BatteryLake: Agentic, Physics-Grounded Curation of Heterogeneous Battery Aging Data and Benchmarking

Tianwen Zhu, Hao Wang, Yonggang Wen

cs.LG2019

Intelligent Trainer for Model-Based Reinforcement Learning

Yuanlong Li, Linsen Dong, Xin Zhou +2

cs.AI2026

Dual-Loop Control in DCVerse: Advancing Reliable Deployment of AI in Data Centers via Digital Twins

Qingang Zhang, Yuejun Yan, Guangyu Wu +4

cs.CV2022

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers

Wen Wang, Yang Cao, Jing Zhang +4

cs.DC2022

Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision

Wei Gao, Qinghao Hu, Zhisheng Ye +5

eess.SY2020

Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning

Guanyu Gao, Yonggang Wen, Xiaohu Wu +1

cs.DC2024

AMSP: Reducing Communication Overhead of ZeRO for Efficient LLM Training

Qiaoling Chen, Qinghao Hu, Guoteng Wang +8

cs.CV2022

Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition

Mengya Han, Yibing Zhan, Yong Luo +4

cs.AI2026

SOPRAG: Multi-view Graph Experts Retrieval for Industrial Standard Operating Procedures

Liangtao Lin, Zhaomeng Zhu, Tianwei Zhang +1

cs.DC2021

ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale

Yuanming Li, Huaizheng Zhang, Shanshan Jiang +3

cs.DC2019

GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine

Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1

q-fin.PR2026

One Rising Ship Sinks Other Ships: Cross-Chain Negative Spillovers in Crypto Markets

Mengzhong Ma, Te Bao, Yonggang Wen

cs.LG2023

FedABC: Targeting Fair Competition in Personalized Federated Learning

Dui Wang, Li Shen, Yong Luo +4

cs.CL2020

Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction

Yixin Cao, Jun Kuang, Ming Gao +3

cs.DC2018

JALAD: Joint Accuracy- and Latency-Aware Deep Structure Decoupling for Edge-Cloud Execution

Hongshan Li, Chenghao Hu, Jingyan Jiang +3

cs.DC2019

Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes

Peng Sun, Wansen Feng, Ruobing Han +2

cs.LG2025

Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics

Vijay Babu Pamshetti, Wei Zhang, Sumei Sun +3

stat.ML2019

Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification

Yong Luo, Dacheng Tao, Chang Xu +3

cs.MM2020

Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning

Huaizheng Zhang, Yong Luo, Qiming Ai +1

stat.ML2019

Heterogeneous Multi-task Metric Learning across Multiple Domains

Yong Luo, Yonggang Wen, Dacheng Tao

cs.DC2016

MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data Centers

Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1

eess.SY2019

Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning

Guanyu Gao, Jie Li, Yonggang Wen

cs.AI2025

InfraMind: A Novel Exploration-based GUI Agentic Framework for Mission-critical Industrial Management

Liangtao Lin, Zhaomeng Zhu, Tianwei Zhang +1

cs.DC2025

CoFormer: Collaborating with Heterogeneous Edge Devices for Scalable Transformer Inference

Guanyu Xu, Zhiwei Hao, Li Shen +5

cs.CL2026

Inference-time Alignment via Sparse Junction Steering

Runyi Hu, Jie Zhang, Shiqian Zhao +7

cs.LG2024

Joint Input and Output Coordination for Class-Incremental Learning

Shuai Wang, Yibing Zhan, Yong Luo +4

cs.LG2024

Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases

Ziyi Zhang, Sen Zhang, Yibing Zhan +3

cs.LG2021

Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning

Linsen Dong, Guanyu Gao, Xinyi Zhang +2

cs.CV2020

Performance Optimization for Federated Person Re-identification via Benchmark Analysis

Weiming Zhuang, Yonggang Wen, Xuesen Zhang +5

cs.CV2019

Soft-ranking Label Encoding for Robust Facial Age Estimation

Xusheng Zeng, Changxing Ding, Yonggang Wen +1

cs.DC2023

Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication

Meng Zhang, Qinghao Hu, Peng Sun +2

cs.CL2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE

Qihuang Zhong, Liang Ding, Yibing Zhan +11

cs.DC2026

CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control

Qiaoling Chen, Zhisheng Ye, Tian Tang +7

cs.DC2024

InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding

Qiaoling Chen, Diandian Gu, Guoteng Wang +8

cs.CV2024

ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning

Zhiwei Hao, Jianyuan Guo, Li Shen +3

cs.NI2018

On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing

Wuqiong Luo, Wee Peng Tay, Peng Sun +1

cs.LG2025

Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Wei Gao, Xinyu Zhou, Peng Sun +2

cs.MM2014

Enhancing User Experience for Multi-Screen Social TV Streaming over Wireless Networks

Huazi Zhang, Yichao Jin, Weiwen Zhang +1

cs.CL2021

Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion

Yixin Cao, Xiang Ji, Xin Lv +3

cs.AI2025

Phythesis: Physics-Guided Evolutionary Scene Synthesis for Energy-Efficient Data Center Design via LLMs

Minghao LI, Ruihang Wang, Rui Tan +1

cs.DC2021

Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification

Weiming Zhuang, Yonggang Wen, Shuai Zhang

cs.DC2022

EasyFL: A Low-code Federated Learning Platform For Dummies

Weiming Zhuang, Xin Gan, Yonggang Wen +1

cs.MM2020

Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud

Huaizheng Zhang, Yuanming Li, Qiming Ai +4

cs.CV2019

Cost-Sensitive Feature Selection by Optimizing F-Measures

Meng Liu, Chang Xu, Yong Luo +3

eess.SY2020

Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins

Ruihang Wang, Xin Zhou, Linsen Dong +5

cs.AI2018

Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning

Yuanlong Li, Yonggang Wen, Kyle Guan +1

cs.NI2026

Towards Intelligent Systems for Battery Management: A Five-Tier Digital Twin Architecture

Tianwen Zhu, Hao Wang, Zhiwei Cao +2

cs.DC2024

Efficient Training of Large Language Models on Distributed Infrastructures: A Survey

Jiangfei Duan, Shuo Zhang, Zerui Wang +13

cs.DC2025

SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading

Qiaoling Chen, Shenggui Li, Wei Gao +3

cs.AI2026

Toward Multiphysics-Informed Machine Learning for Sustainable Data Center Operations: Intelligence Evolution with Deployable Solutions for Computing Infrastructure

Ruihang Wang, Qingang Zhang, Yonggang Wen +1

cs.CV2022

Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis

Weiming Zhuang, Xin Gan, Yonggang Wen +1

cs.DC2021

Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters

Qinghao Hu, Peng Sun, Shengen Yan +2

cs.MM2017

Towards Wi-Fi AP-Assisted Content Prefetching for On-Demand TV Series: A Reinforcement Learning Approach

Wen Hu, Yichao Jin, Yonggang Wen +2

cs.LG2023

MAS: Towards Resource-Efficient Federated Multiple-Task Learning

Weiming Zhuang, Yonggang Wen, Lingjuan Lyu +1

cs.CY2022

Towards a Systematic Survey for Carbon Neutral Data Centers

Zhiwei Cao, Xin Zhou, Han Hu +2

cs.CV2021

Privacy-preserving Collaborative Learning with Automatic Transformation Search

Wei Gao, Shangwei Guo, Tianwei Zhang +3

cs.CR2026

Efficient Fuzzy Private Set Intersection from Secret-shared OPRF

Xinpeng Yang, Meng Hao, Chenkai Weng +3

cs.CV2023

PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning

Mengya Han, Heliang Zheng, Chaoyue Wang +4

cs.CV2021

Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning

Weiming Zhuang, Xin Gan, Yonggang Wen +3

physics.flu-dyn2026

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

Tianyu Li, Zhiwei Cao, Qingang Zhang +3

cs.AI2025

Transforming Future Data Center Operations and Management via Physical AI

Zhiwei Cao, Minghao Li, Feng Lin +4

cs.LG2025

Semantic-Aware Scheduling for GPU Clusters with Large Language Models

Zerui Wang, Qinghao Hu, Ana Klimovic +4

cs.DC2024

LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism

Diandian Gu, Peng Sun, Qinghao Hu +11

cs.NI2025

Secure Multi-LLM Agentic AI and Agentification for Edge General Intelligence by Zero-Trust: A Survey

Yinqiu Liu, Ruichen Zhang, Haoxiang Luo +9

stat.ML2019

Large Margin Multi-modal Multi-task Feature Extraction for Image Classification

Yong Luo, Yonggang Wen, Dacheng Tao +2

cs.NI2024

Generative AI in Data Center Networking: Fundamentals, Perspectives, and Case Study

Yinqiu Liu, Hongyang Du, Dusit Niyato +4

cs.DC2018

Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization

Zhenzhen Hui, Peng Sun, Yonggang Wen

cs.NE2017

Power Data Classification: A Hybrid of a Novel Local Time Warping and LSTM

Yuanlong Li, Han Hu, Yonggang Wen +1

cs.DC2017

GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine

Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong +1