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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
[j130]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)- [c144]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 - 2022
- [j129]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) - [j128]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) - [j127]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) - [j126]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
- [j125]Guanyu Gao, Yonggang Wen:
Video transcoding for adaptive bitrate streaming over edge-cloud continuum. Digit. Commun. Networks 7(4): 598-604 (2021) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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
- [j116]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) - [j115]Shuqiang Jiang, Weiqing Min, Yonggang Wen, Qingming Huang, Shuicheng Yan:
Deep neural networks for emerging multimedia computing and applications. Neurocomputing 395: 117-118 (2020) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]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) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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]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. CoRR abs/2012.06834 (2020)
2010 – 2019
- 2019
- [j104]Wenbo Wang, Dinh Thai Hoang, Peizhao Hu, Zehui Xiong, Dusit Niyato, Ping Wang, Yonggang Wen, Dong In Kim:
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks. IEEE Access 7: 22328-22370 (2019) - [j103]Xuecong Lee, Mengxuan Yan, Fangyuan Xu, Yue Wang, Yiliang Fan, Zekai Lee, Yonggang Wen, Mohammad Shahidehpour, Loi Lei Lai:
Virtual Storage-Based DSM With Error-Driven Prediction Modulation for Microgrids. IEEE Access 7: 71109-71118 (2019) - [j102]Wei Zhang, Weizheng Hu, Yonggang Wen:
Thermal Comfort Modeling for Smart Buildings: A Fine-Grained Deep Learning Approach. IEEE Internet Things J. 6(2): 2540-2549 (2019) - [j101]Prosper Chemouil, Pan Hui, Wolfgang Kellerer, Yong Li, Rolf Stadler, Dacheng Tao, Yonggang Wen, Ying Zhang:
Special Issue on Artificial Intelligence and Machine Learning for Networking and Communications. IEEE J. Sel. Areas Commun. 37(6): 1185-1191 (2019) - [j100]Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao:
Transferring Knowledge Fragments for Learning Distance Metric from a Heterogeneous Domain. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 1013-1026 (2019) - [j99]Guanyu Gao, Yonggang Wen, Cédric Westphal:
Dynamic Priority-Based Resource Provisioning for Video Transcoding With Heterogeneous QoS. IEEE Trans. Circuits Syst. Video Technol. 29(5): 1515-1529 (2019) - [j98]Han Hu, Yichao Jin, Yonggang Wen, Cédric Westphal:
Orchestrating Caching, Transcoding and Request Routing for Adaptive Video Streaming Over ICN. ACM Trans. Multim. Comput. Commun. Appl. 15(1): 24:1-24:23 (2019) - [c113]Yong Luo, Huaizheng Zhang, Yonggang Wen, Xinwen Zhang:
ResumeGAN: An Optimized Deep Representation Learning Framework for Talent-Job Fit via Adversarial Learning. CIKM 2019: 1101-1110 - [c112]Guanyu Gao, Linsen Dong, Huaizheng Zhang, Yonggang Wen, Wenjun Zeng:
Content-Aware Personalised Rate Adaptation for Adaptive Streaming via Deep Video Analysis. ICC 2019: 1-8 - [c111]Han Hu, Cheng Zhan, Jianping An, Yonggang Wen:
Optimization for HTTP Adaptive Video Streaming in UAV-Enabled Relaying System. ICC 2019: 1-6 - [c110]Deliang Yi, Xin Zhou, Yonggang Wen, Rui Tan:
Toward Efficient Compute-Intensive Job Allocation for Green Data Centers: A Deep Reinforcement Learning Approach. ICDCS 2019: 634-644 - [c109]Yongyi Ran, Han Hu, Xin Zhou, Yonggang Wen:
DeepEE: Joint Optimization of Job Scheduling and Cooling Control for Data Center Energy Efficiency Using Deep Reinforcement Learning. ICDCS 2019: 645-655 - [c108]Qiang Fu, Linsen Dong, Ziyuan Liu, Yong Luo, Yonggang Wen, Ying Li, Ling-Yu Duan:
Incorporating Category Taxonomy in Deep Reinforcement Learning Based Image Hashing. ICME 2019: 127-132 - [c107]Fang Liu, Wei Zhang, Yonggang Wen:
QoE-Driven Mobile Streaming: A Location-Aware Approach. ICME 2019: 1708-1713 - [c106]Weizheng Hu, Yong Luo, Zongqing Lu, Yonggang Wen:
Heterogeneous Transfer Learning for Thermal Comfort Modeling. BuildSys@SenSys 2019: 61-70 - [c105]Duc Van Le, Yingbo Liu, Rongrong Wang, Rui Tan, Yew-Wah Wong, Yonggang Wen:
Control of Air Free-Cooled Data Centers in Tropics via Deep Reinforcement Learning. BuildSys@SenSys 2019: 306-315 - [c104]Yan Bai, Ling-Yu Duan, Yong Luo, Shiqi Wang, Yonggang Wen, Wen Gao:
Toward Intelligent Visual Sensing and Low-cost Analysis: A Collaborative Computing Approach. VCIP 2019: 1-4 - [r1]Peng Sun, Yonggang Wen:
Scalable Architectures for Big Data Analysis. Encyclopedia of Big Data Technologies 2019 - [i32]Guanyu Gao, Jie Li, Yonggang Wen:
Energy-Efficient Thermal Comfort Control in Smart Buildings via Deep Reinforcement Learning. CoRR abs/1901.04693 (2019) - [i31]Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen:
Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes. CoRR abs/1902.06855 (2019) - [i30]Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao:
Cost-Sensitive Feature Selection by Optimizing F-Measures. CoRR abs/1904.02301 (2019) - [i29]Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen:
Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. CoRR abs/1904.03921 (2019) - [i28]Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao:
Transferring Knowledge Fragments for Learning Distance Metric from A Heterogeneous Domain. CoRR abs/1904.04061 (2019) - [i27]Yong Luo, Yonggang Wen, Dacheng Tao:
Heterogeneous Multi-task Metric Learning across Multiple Domains. CoRR abs/1904.04081 (2019) - [i26]