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ORCIDYonggang Wen 0001
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2008): Massachusetts Institute of Technology, Cambridge, MA, USA
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2020 – today
- 2024
[j148]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): 146:1-146:38 (2024)- [j147]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): 1500-1515 (2024) - [j146]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): 19 (2024) - [j145]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): 3280-3294 (2024) - [j144]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): 5447-5460 (2024) - [j143]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): 101:1-101:42 (2024) - [j142]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): 236-248 (2024) - [c159]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: 3823-3836 - [c158]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. ICML 2024 - [c157]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: 259-271 - [c156]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: 473-484 - [c155]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: 709-729 - [c154]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: 2902-2913 - [i76]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 abs/2401.09149 (2024) - [i75]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 abs/2402.08552 (2024) - [i74]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 abs/2403.07648 (2024) - [i73]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 abs/2404.15598 (2024) - [i72]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 abs/2406.18485 (2024) - [i71]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 abs/2407.14106 (2024) - [i70]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 abs/2407.20018 (2024) - 2023
- [j141]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): 554-568 (2023) - [j140]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): 10650-10668 (2023) - [j139]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): 1761-1774 (2023) - [j138]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): 3313-3332 (2023) - [j137]Yonggang Wen:
Editorial. IEEE Trans. Multim. 25: 1060 (2023) - [j136]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: 1555-1563 (2023) - [j135]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): 10638-10652 (2023) - [j134]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): 11:1-11:24 (2023) - [j133]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): 38:1-38:18 (2023) - [j132]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): 1296-1309 (2023) - [j131]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): 1310-1323 (2023) - [c153]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. AAAI 2023: 10095-10103 - [c152]Changsen Yuan, Heyan Huang, Yixin Cao, Yonggang Wen:
Discriminative Reasoning with Sparse Event Representation for Document-level Event-Event Relation Extraction. ACL (1) 2023: 16222-16234 - [c151]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: 457-472 - [c150]Ruihang Wang, Zhiwei Cao, Xin Zhou, Yonggang Wen, Rui Tan:
Phyllis: Physics-Informed Lifelong Reinforcement Learning for Data Center Cooling Control. e-Energy 2023: 114-126 - [c149]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: 333-346 - [c148]Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang:
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. ICCV 2023: 23357-23367 - [c147]Mengzhong Ma, Te Bao, Yonggang Wen:
Enhancing Portfolio Performance with Crypto Tokens: a Correlation Network Analysis. ICDCS Workshops 2023: 31-36 - [c146]Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen:
Rethinking the Localization in Weakly Supervised Object Localization. ACM Multimedia 2023: 5484-5494 - [c145]Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang:
Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI 2023: 757-777 - [c144]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: 208-211 - [i69]Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao:
FedABC: Targeting Fair Competition in Personalized Federated Learning. CoRR abs/2302.07450 (2023) - [i68]Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang:
Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR abs/2303.01277 (2023) - [i67]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 abs/2306.10858 (2023) - [i66]Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang:
MAS: Towards Resource-Efficient Federated Multiple-Task Learning. CoRR abs/2307.11285 (2023) - [i65]Rui Xu, Yong Luo, Han Hu, Bo Du, Jialie Shen, Yonggang Wen:
Rethinking the Localization in Weakly Supervised Object Localization. CoRR abs/2308.06161 (2023) - [i64]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 abs/2308.12757 (2023) - [i63]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 abs/2311.00257 (2023) - 2022
- [j130]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): 895-936 (2022) - [j129]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): 5200-5215 (2022) - [j128]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
EasyFL: A Low-Code Federated Learning Platform for Dummies. IEEE Internet Things J. 9(15): 13740-13754 (2022) - [j127]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): 495-507 (2022) - [c143]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: 260-271 - [c142]Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang:
Titan: a scheduler for foundation model fine-tuning workloads. SoCC 2022: 348-354 - [c141]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: 159-169 - [c140]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Divergence-aware Federated Self-Supervised Learning. ICLR 2022 - [c139]Weiming Zhuang, Xin Gan, Xuesen Zhang, Yonggang Wen, Shuai Zhang, Shuai Yi:
Federated Unsupervised Domain Adaptation for Face Recognition. ICME 2022: 1-6 - [c138]Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin:
Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering. MMSP 2022: 1-6 - [c137]Yong Luo, Ling-Yu Duan, Yan Bai, Tongliang Liu, Yihang Lou, Yonggang Wen:
Nonlinear Multi-Model Reuse. MMSP 2022: 1-6 - [c136]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: 1-10 - [c135]Yongyi Ran, Xin Zhou, Han Hu, Yonggang Wen:
Optimizing Data Centre Energy Efficiency via Event Driven Deep Reinforcement Learning. SERVICES 2022: 20 - [c134]Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang:
Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX ATC 2022: 519-538 - [i62]Weiming Zhuang, Xin Gan, Yonggang Wen, Xuesen Zhang, Shuai Zhang, Shuai Yi:
Federated Unsupervised Domain Adaptation for Face Recognition. CoRR abs/2204.04382 (2022) - [i61]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Divergence-aware Federated Self-Supervised Learning. CoRR abs/2204.04385 (2022) - [i60]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 abs/2205.11913 (2022) - [i59]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
Optimizing Performance of Federated Person Re-identification: Benchmarking and Analysis. CoRR abs/2205.12144 (2022) - [i58]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Smart Multi-tenant Federated Learning. CoRR abs/2207.04202 (2022) - [i57]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 abs/2209.03034 (2022) - [i56]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 abs/2210.10391 (2022) - [i55]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 abs/2212.01853 (2022) - 2021
- [j126]Guanyu Gao, Yonggang Wen:
Video transcoding for adaptive bitrate streaming over edge-cloud continuum. Digit. Commun. Networks 7(4): 598-604 (2021) - [j125]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): 8021-8031 (2021) - [j124]Jie Li, Wei Zhang, Guanyu Gao, Yonggang Wen, Guangyu Jin, George I. Christopoulos:
Toward Intelligent Multizone Thermal Control With Multiagent Deep Reinforcement Learning. IEEE Internet Things J. 8(14): 11150-11162 (2021) - [j123]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): 56-63 (2021) - [j122]Xin Zhou, Ruihang Wang, Yonggang Wen, Rui Tan:
Joint IT-Facility Optimization for Green Data Centers via Deep Reinforcement Learning. IEEE Netw. 35(6): 255-262 (2021) - [j121]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): 118-130 (2021) - [j120]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): 3594-3606 (2021) - [j119]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): 2758-2771 (2021) - [j118]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): 24:1-24:28 (2021) - [c133]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: 6855-6865 - [c132]Wei Gao, Zhisheng Ye, Peng Sun, Yonggang Wen, Tianwei Zhang:
Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs. SoCC 2021: 609-623 - [c131]Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu:
Privacy-Preserving Collaborative Learning With Automatic Transformation Search. CVPR 2021: 114-123 - [c130]Wei Zhang, Yonggang Wen, Fang Liu:
Towards Cost-Optimal Energy Procurement for Cooling as a Service: A Data-Driven Approach. GLOBECOM 2021: 1-6 - [c129]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi:
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. ICCV 2021: 4892-4901 - [c128]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. ACM Multimedia 2021: 433-441 - [c127]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: 1730-1738 - [c126]Zhiwei Hao, Yong Luo, Han Hu, Jianping An, Yonggang Wen:
Data-Free Ensemble Knowledge Distillation for Privacy-conscious Multimedia Model Compression. ACM Multimedia 2021: 1803-1811 - [c125]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: 2558-2566 - [c124]Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and prediction of deep learning workloads in large-scale GPU datacenters. SC 2021: 104 - [c123]Wei Zhang, Fang Liu, Yonggang Wen, Bernard Nee:
Toward explainable and interpretable building energy modelling: an explainable artificial intelligence approach. BuildSys@SenSys 2021: 255-258 - [i54]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 abs/2101.04163 (2021) - [i53]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 abs/2102.03012 (2021) - [i52]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang:
EasyFL: A Low-code Federated Learning Platform For Dummies. CoRR abs/2105.07603 (2021) - [i51]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 abs/2105.07606 (2021) - [i50]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 abs/2105.08275 (2021) - [i49]Yizheng Huang, Huaizheng Zhang, Yonggang Wen, Peng Sun, Nguyen Binh Duong Ta:
ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems. CoRR abs/2106.03122 (2021) - [i48]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 abs/2107.12636 (2021) - [i47]Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang:
Are Missing Links Predictable? An Inferential Benchmark for Knowledge Graph Completion. CoRR abs/2108.01387 (2021) - [i46]Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi:
Collaborative Unsupervised Visual Representation Learning from Decentralized Data. CoRR abs/2108.06492 (2021) - [i45]Weiming Zhuang, Yonggang Wen, Shuai Zhang:
Joint Optimization in Edge-Cloud Continuum for Federated Unsupervised Person Re-identification. CoRR abs/2108.06493 (2021) - [i44]Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang:
Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR abs/2109.01313 (2021) - [i43]Zhiwei Cao, Xin Zhou, Han Hu, Zhi Wang, Yonggang Wen:
Carbon Neutrality in Data Center. CoRR abs/2110.09284 (2021) - 2020
- [j117]Lu Liu, Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao, Xin Yao:
xTML: A Unified Heterogeneous Transfer Metric Learning Framework for Multimedia Applications [Application Notes]. IEEE Comput. Intell. Mag. 15(2): 78-88 (2020) - [j116]Shuqiang Jiang, Weiqing Min, Yonggang Wen, Qingming Huang, Shuicheng Yan:
Deep neural networks for emerging multimedia computing and applications. Neurocomputing 395: 117-118 (2020) - [j115]Yong Luo, Han Hu, Yonggang Wen, Dacheng Tao:
Transforming Device Fingerprinting for Wireless Security via Online Multitask Metric Learning. IEEE Internet Things J. 7(1): 208-219 (2020) - [j114]Guanyu Gao, Jie Li, Yonggang Wen:
DeepComfort: Energy-Efficient Thermal Comfort Control in Buildings Via Reinforcement Learning. IEEE Internet Things J. 7(9): 8472-8484 (2020) - [j113]Prosper Chemouil, Pan Hui, Wolfgang Kellerer, Noura Limam, Rolf Stadler, Yonggang Wen:
Guest Editorial Special Issue on Advances in Artificial Intelligence and Machine Learning for Networking. IEEE J. Sel. Areas Commun. 38(10): 2229-2233 (2020) - [j112]Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao:
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. IEEE Trans. Big Data 6(4): 816-829 (2020) - [j111]