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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
- 2023
[j139]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)- [j138]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) - [j137]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) - [j136]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) - [j135]Yonggang Wen:
Editorial. IEEE Trans. Multim. 25: 1060 (2023) - [j134]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) - [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) - [c152]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 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [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 Annual Technical Conference 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]Yuanlong Li, Yonggang Wen, Dacheng Tao, Kyle Guan:
Transforming Cooling Optimization for Green Data Center via Deep Reinforcement Learning. IEEE Trans. Cybern. 50(5): 2002-2013 (2020) - [j110]Huaizheng Zhang, Linsen Dong, Guanyu Gao, Han Hu, Yonggang Wen, Kyle Guan:
DeepQoE: A Multimodal Learning Framework for Video Quality of Experience (QoE) Prediction. IEEE Trans. Multim. 22(12): 3210-3223 (2020) - [j109]Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan:
Efficient Compute-Intensive Job Allocation in Data Centers via Deep Reinforcement Learning. IEEE Trans. Parallel Distributed Syst. 31(6): 1474-1485 (2020) - [j108]Han Hu, Yonggang Wen, Lei Yin, Ling Qiu, Dusit Niyato:
Coordinating Workload Scheduling of Geo-Distributed Data Centers and Electricity Generation of Smart Grid. IEEE Trans. Serv. Comput. 13(6): 1007-1020 (2020) - [j107]Wei Zhang, Yonggang Wen, Loi Lei Lai, Fang Liu, Rui Fan:
Electricity Cost Minimization for Interruptible Workload in Datacenter Servers. IEEE Trans. Serv. Comput. 13(6): 1059-1071 (2020) - [j106]Lu Liu, Han Hu, Yong Luo, Yonggang Wen:
When Wireless Video Streaming Meets AI: A Deep Learning Approach. IEEE Wirel. Commun. 27(2): 127-133 (2020) - [c122]Huaizheng Zhang, Yong Luo, Qiming Ai, Yonggang Wen, Han Hu:
Look, Read and Feel: Benchmarking Ads Understanding with Multimodal Multitask Learning. ACM Multimedia 2020: 430-438 - [c121]Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi:
Performance Optimization of Federated Person Re-identification via Benchmark Analysis. ACM Multimedia 2020: 955-963 - [c120]Shikang Gan, Yong Luo, Yonggang Wen, Tongliang Liu, Han Hu:
Deep Heterogeneous Multi-Task Metric Learning for Visual Recognition and Retrieval. ACM Multimedia 2020: 1837-1845 - [c119]Yangxi Li, Han Hu, Jin Li, Yong Luo, Yonggang Wen:
Semi-supervised Online Multi-Task Metric Learning for Visual Recognition and Retrieval. ACM Multimedia 2020: 3377-3385 - [c118]Huaizheng Zhang, Yuanming Li, Yizheng Huang, Yonggang Wen, Jianxiong Yin, Kyle Guan:
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS. ACM Multimedia 2020: 4453-4456 - [c117]Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Ta Nguyen Binh Duong:
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud. ACM Multimedia 2020: 4457-4460 - [c116]Rongrong Wang, Duc Van Le, Rui Tan, Yew-Wah Wong, Yonggang Wen:
Real-Time Cooling Power Attribution for Co-Located Data Center Rooms with Distinct Temperatures. BuildSys@SenSys 2020: 190-199 - [c115]Ruihang Wang, Xin Zhou, Linsen Dong, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng:
Kalibre: Knowledge-based Neural Surrogate Model Calibration for Data Center Digital Twins. BuildSys@SenSys 2020: 200-209 - [c114]Jie Li, Yonggang Wen, Wei Zhang:
An Urban Tropical Thermal Comfort Dataset for Smart Buildings. BuildSys@SenSys 2020: 318-319 - [i42]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. CoRR abs/2001.06937 (2020) - [i41]Ruihang Wang, Yuanlong Li, Linsen Dong, Xin Zhou, Yonggang Wen, Rui Tan, Li Chen, Guan Wang, Feng Zeng:
Toward Automated Calibration of Data Center Digital Twins: A Neural Surrogate Approach. CoRR abs/2001.10681 (2020) - [i40]Huaizheng Zhang, Yuanming Li, Yizheng Huang, Yonggang Wen, Jianxiong Yin, Kyle Guan:
MLModelCI: An Automatic Cloud Platform for Efficient MLaaS. CoRR abs/2006.05096 (2020) - [i39]Huaizheng Zhang, Yuanming Li, Qiming Ai, Yong Luo, Yonggang Wen, Yichao Jin, Duong Nguyen Binh Ta:
Hysia: Serving DNN-Based Video-to-Retail Applications in Cloud. CoRR abs/2006.05117 (2020) - [i38]Guanyu Gao, Yonggang Wen, Xiaohu Wu, Ran Wang:
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning. CoRR abs/2007.04517 (2020) - [i37]Weiming Zhuang, Yonggang Wen, Xuesen Zhang, Xin Gan, Daiying Yin, Dongzhan Zhou, Shuai Zhang, Shuai Yi:
Performance Optimization for Federated Person Re-identification via Benchmark Analysis. CoRR abs/2008.11560 (2020) - [i36]Huaizheng Zhang, Yizheng Huang, Yonggang Wen, Jianxiong Yin, Kyle Guan:
No more 996: Understanding Deep Learning Inference Serving with an Automatic Benchmarking System. CoRR abs/2011.02327 (2020) - [i35]Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu:
Privacy-preserving Collaborative Learning with Automatic Transformation Search. CoRR abs/2011.12505 (2020) - [i34]Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. CoRR abs/2011.13574 (2020) - [i33]