Yonggang Wen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 253

Top Venues

CoRR

ACM Multimedia

IEEE Trans. Multim.

IEEE Internet Things J.

Publications

Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. 56 (6) (2024)
Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun
Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR (2024)
Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan
Green Data Center Cooling Control via Physics-guided Safe Reinforcement Learning. ACM Trans. Cyber Phys. Syst. 8 (2) (2024)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-Adaptive Class Representation Learning for Few-Shot Visual Recognition. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, YingTong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun
InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR (2024)
Zhiwei Cao, Xin Zhou, Xiangyu Wu, Zhaomeng Zhu, Tracy Liu, Jeffery Neng, Yonggang Wen
Data Center Sustainability: Revisits and Outlooks. IEEE Trans. Sustain. Comput. 9 (3) (2024)
Yipeng Zhou, Runze Wang, Jiahao Liu, Di Wu, Shui Yu, Yonggang Wen
Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Hongzhou Chen, Haihan Duan, Maha Abdallah, Yufeng Zhu, Yonggang Wen, Abdulmotaleb El-Saddik, Wei Cai
Web3 Metaverse: State-of-the-Art and Vision. ACM Trans. Multim. Comput. Commun. Appl. 20 (4) (2024)
Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu
LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR (2024)
Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Characterization of Large Language Model Development in the Datacenter. CoRR (2024)
Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases. CoRR (2024)
Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW (2024)
Xuming An, Dui Wang, Li Shen, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Federated Learning with Only Positive Labels by Exploring Label Correlations. CoRR (2024)
Wei Gao, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang
Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters. ICS (2024)
Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE (2024)
Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
Characterization of Large Language Model Development in the Datacenter. NSDI (2024)
Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang
TorchGT: A Holistic System for Large-scale Graph Transformer Training. CoRR (2024)
Wei Gao, Zhisheng Ye, Peng Sun, Tianwei Zhang, Yonggang Wen
UniSched: A Unified Scheduler for Deep Learning Training Jobs With Different User Demands. IEEE Trans. Computers 73 (6) (2024)
Wei Gao, Xu Zhang, Shan Huang, Shangwei Guo, Peng Sun, Yonggang Wen, Tianwei Zhang
AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads. ICS (2024)
Mengya Han, Heliang Zheng, Chaoyue Wang, Yong Luo, Han Hu, Jing Zhang, Yonggang Wen
PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning. CoRR (2023)
Xingyu Yang, Mengya Han, Yong Luo, Han Hu, Yonggang Wen
Two-Stream Prototype Learning Network for Few-Shot Face Recognition Under Occlusions. IEEE Trans. Multim. 25 (2023)
Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan
Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control. e-Energy (2023)
Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. ICCV (2023)
Minghao Li, Ruihang Wang, Xin Zhou, Zhaomeng Zhu, Yonggang Wen, Rui Tan
ChatTwin: Toward Automated Digital Twin Generation for Data Center via Large Language Models. BuildSys@SenSys (2023)
Ruihang Wang, Deneng Xia, Zhiwei Cao, Yonggang Wen, Rui Tan, Xin Zhou
Toward Data Center Digital Twins via Knowledge-based Model Calibration and Reduction. ACM Trans. Model. Comput. Simul. 33 (4) (2023)
Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis. ACM Trans. Multim. Comput. Commun. Appl. 19 (1s) (2023)
Ting Zhe, Yongqian Li, Jing Zhang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
FHA-Kitchens: A Novel Dataset for Fine-Grained Hand Action Recognition in Kitchen Scenes. CoRR (2023)
Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen
Toward Model-Assisted Safe Reinforcement Learning for Data Center Cooling Control: A Lyapunov-based Approach. e-Energy (2023)
Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. CoRR (2023)
Guanyu Gao, Yonggang Wen, Dacheng Tao
Distributed Energy Trading and Scheduling Among Microgrids via Multiagent Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI (2023)
Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang
Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. ASPLOS (2) (2023)
Wei Gao, Xu Zhang, Shangwei Guo, Tianwei Zhang, Tao Xiang, Han Qiu, Yonggang Wen, Yang Liu
Automatic Transformation Search Against Deep Leakage From Gradients. IEEE Trans. Pattern Anal. Mach. Intell. 45 (9) (2023)
Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen
Rethinking the Localization in Weakly Supervised Object Localization. ACM Multimedia (2023)
Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. CoRR (2023)
Mengya Han, Yibing Zhan, Baosheng Yu, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
Region-adaptive Concept Aggregation for Few-shot Visual Recognition. Mach. Intell. Res. 20 (4) (2023)
Yonggang Wen
Editorial. IEEE Trans. Multim. 25 (2023)
Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao
FedABC: Targeting Fair Competition in Personalized Federated Learning. CoRR (2023)
Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI (2023)
Mengzhong Ma, Te Bao, Yonggang Wen
Enhancing Portfolio Performance with Crypto Tokens: a Correlation Network Analysis. ICDCS Workshops (2023)
Yongyi Ran, Han Hu, Yonggang Wen, Xin Zhou
Optimizing Energy Efficiency for Data Center via Parameterized Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 16 (2) (2023)
Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. ACL (1) (2023)
Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen
Rethinking the Localization in Weakly Supervised Object Localization. CoRR (2023)
Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR (2023)
Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen
Optimizing Data Center Energy Efficiency via Event-Driven Deep Reinforcement Learning. IEEE Trans. Serv. Comput. 16 (2) (2023)
Mengya Han, Yibing Zhan, Yong Luo, Bo Du, Han Hu, Yonggang Wen, Dacheng Tao
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition. CoRR (2022)
Peng Sun, Yonggang Wen, Ruobing Han, Wansen Feng, Shengen Yan
GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training. IEEE Trans. Big Data 8 (2) (2022)
Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu, Yihang Lou, Yonggang Wen
Nonlinear Multi-Model Reuse. MMSP (2022)
Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin
Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. MMSP (2022)
Guanyu Gao, Chengru Song, T. G. Thusitha Asela Bandara, Meng Shen, Fan Yang, Wolf Posdorfer, Dacheng Tao, Yonggang Wen
FogChain: A Blockchain-Based Peer-to-Peer Solar Power Trading System Powered by Fog AI. IEEE Internet Things J. 9 (7) (2022)
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Divergence-aware Federated Self-Supervised Learning. ICLR (2022)
Zichen Zhang, Yong Luo, Yonggang Wen, Xinwen Zhang
CycleResume: A Cycle Learning Framework with Hybrid Attention for Fine-Grained Talent-Job Fit. CICAI (3) (2022)
Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen
Toward a Systematic Survey for Carbon Neutral Data Centers. IEEE Commun. Surv. Tutorials 24 (2) (2022)
Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision. CoRR (2022)
Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi
Federated Unsupervised Domain Adaptation for Face Recognition. CoRR (2022)
Ruihang Wang, Xinyi Zhang, Xin Zhou, Yonggang Wen, Rui Tan
Toward Physics-Guided Safe Deep Reinforcement Learning for Green Data Center Cooling Control. ICCPS (2022)
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang
EasyFL: A Low-Code Federated Learning Platform for Dummies. IEEE Internet Things J. 9 (15) (2022)
Zhenpeng Yao, Yanwei Lum, Andrew Johnston, Luis Martin Mejia-Mendoza, Xin Zhou, Yonggang Wen, Alán Aspuru-Guzik, Edward H. Sargent, Zhi Wei Seh
Machine Learning for a Sustainable Energy Future. CoRR (2022)
Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang
Titan: a scheduler for foundation model fine-tuning workloads. SoCC (2022)
Weiming Zhuang, Xin Gan, Xuesen Zhang, Yonggang Wen, Shuai Zhang, Shuai Yi
Federated Unsupervised Domain Adaptation for Face Recognition. ICME (2022)
Qihuang Zhong, Liang Ding, Yibing Zhan, Yu Qiao, Yonggang Wen, Li Shen, Juhua Liu, Baosheng Yu, Bo Du, Yixin Chen, Xinbo Gao, Chunyan Miao, Xiaoou Tang, Dacheng Tao
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE. CoRR (2022)
Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang
Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX Annual Technical Conference (2022)
Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen
Optimizing Data Centre Energy Efficiency via Event Driven Deep Reinforcement Learning. SERVICES (2022)
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Divergence-aware Federated Self-Supervised Learning. CoRR (2022)
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis. CoRR (2022)
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Smart Multi-tenant Federated Learning. CoRR (2022)
Zhiwei Cao, Ruihang Wang, Xin Zhou, Yonggang Wen
Reducio: model reduction for data center predictive digital twins via physics-guided machine learning. BuildSys@SenSys (2022)
Wei Zhang, Jie Li, Yonggang Wen, Yong Luo
Toward a Wearable Crowdsource System to Monitor Respiratory Symptoms for Pandemic Early Warning. IEEE Netw. 35 (3) (2021)
Guanyu Gao, Yonggang Wen
Video transcoding for adaptive bitrate streaming over edge-cloud continuum. Digit. Commun. Networks 7 (4) (2021)
Duc Van Le, Rongrong Wang, Yingbo Liu, Rui Tan, Yew-Wah Wong, Yonggang Wen
Deep Reinforcement Learning for Tropical Air Free-cooled Data Center Control. ACM Trans. Sens. Networks 17 (3) (2021)
Wei Gao, Zhisheng Ye, Peng Sun, Yonggang Wen, Tianwei Zhang
Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs. SoCC (2021)
Wei Zhang, Yonggang Wen, King-Jet Tseng, Guangyu Jin
Demystifying Thermal Comfort in Smart Buildings: An Interpretable Machine Learning Approach. IEEE Internet Things J. 8 (10) (2021)
Wei Zhang, Yonggang Wen, Fang Liu
Towards Cost-Optimal Energy Procurement for Cooling as a Service: A Data-Driven Approach. GLOBECOM (2021)
Yuan Xie, Bingqian Lin, Yanyun Qu, Cuihua Li, Wensheng Zhang, Lizhuang Ma, Yonggang Wen, Dacheng Tao
Joint Deep Multi-View Learning for Image Clustering. IEEE Trans. Knowl. Data Eng. 33 (11) (2021)
Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. ACM Multimedia (2021)
Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. ACM Multimedia (2021)
Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. ACL/IJCNLP (1) (2021)
Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu
Privacy-Preserving Collaborative Learning With Automatic Transformation Search. CVPR (2021)
Wei Zhang, Yonggang Wen, Loi Lei Lai, Fang Liu, Rui Fan
Cost Optimal Data Center Servers: A Voltage Scaling Approach. IEEE Trans. Cloud Comput. 9 (1) (2021)
Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi
Towards Unsupervised Domain Adaptation for Deep Face Recognition under Privacy Constraints via Federated Learning. CoRR (2021)
Linsen Dong, Yuanlong Li, Xin Zhou, Yonggang Wen, Kyle Guan
Intelligent Trainer for Dyna-Style Model-Based Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 32 (6) (2021)
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. CoRR (2021)
Meng Shen, Huaizheng Zhang, Yixin Cao, Fan Yang, Yonggang Wen
Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder. ACM Multimedia (2021)
Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR (2021)
Wei Zhang, Fang Liu, Yonggang Wen, Bernard Nee
Toward explainable and interpretable building energy modelling: an explainable artificial intelligence approach. BuildSys@SenSys (2021)
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang
EasyFL: A Low-code Federated Learning Platform For Dummies. CoRR (2021)
Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen
Carbon Neutrality in Data Center. CoRR (2021)
Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. ICCV (2021)
Jie Li, Wei Zhang, Guanyu Gao, Yonggang Wen, Guangyu Jin, Georgios Christopoulos
Toward Intelligent Multizone Thermal Control With Multiagent Deep Reinforcement Learning. IEEE Internet Things J. 8 (14) (2021)
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. ACM Multimedia (2021)
Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan
Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning. IEEE Netw. 35 (6) (2021)
Weiming Zhuang, Yonggang Wen, Shuai Zhang
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. CoRR (2021)
Yao Fu, Yipeng Zhou, Di Wu, Shui Yu, Yonggang Wen, Chao Li
On the Practicality of Differential Privacy in Federated Learning by Tuning Iteration Times. CoRR (2021)
Wen Wang, Yang Cao, Jing Zhang, Fengxiang He, Zheng-Jun Zha, Yonggang Wen, Dacheng Tao
Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers. CoRR (2021)
Yuanming Li, Huaizheng Zhang, Shanshan Jiang, Fan Yang, Yonggang Wen, Yong Luo
ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale. CoRR (2021)
Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan
A Serverless Cloud-Fog Platform for DNN-Based Video Analytics with Incremental Learning. CoRR (2021)
Yizheng Huang, Huaizheng Zhang, Yonggang Wen, Peng Sun, Nguyen Binh Duong Ta
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems. CoRR (2021)
Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. CoRR (2021)

Yonggang Wen.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Yonggang Wen