Di Wang

According to our database, Di Wang authored at least 49 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning.

Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen

CoRR, 2023

Cost-effective On-device Continual Learning over Memory Hierarchy with Miro.

Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

2022

AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency.

Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

A Survey of Multi-Tenant Deep Learning Inference on GPU.

Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen

CoRR, 2022

Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing.

Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Second International Workshop on the Efficiency of Modern Data Centers (EMDC) Chairs' Welcome.

Eyhab Al-Masri, Di Wang

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

CarM: hierarchical episodic memory for continual learning.

Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems.

Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities.

Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen

CoRR, 2021

Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning.

Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon

CoRR, 2021

GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention.

Yang Li, Di Wang, José M. F. Moura

CoRR, 2021

Fed2: Feature-Aligned Federated Learning.

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU.

Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

2020

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

IEEE J. Sel. Top. Signal Process., 2020

Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks.

Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

CoRR, 2020

Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination.

Fuxun Yu, Zirui Xu, Tong Shen, Dimitrios Stamoulis, Longfei Shangguan, Di Wang, Rishi Madhok, Chunshui Zhao, Xin Li, Nikolaos Karianakis, Dimitrios Lymberopoulos, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen

CoRR, 2020

Heterogeneous Federated Learning.

Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen

CoRR, 2020

Exploring the Design Space of Efficient Deep Neural Networks.

Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen

Proceedings of the 5th IEEE/ACM Symposium on Edge Computing, 2020

DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling.

Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency.

Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen

Proceedings of the 2020 Design, Automation & Test in Europe Conference & Exhibition, 2020

2019

Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning.

Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen

CoRR, 2019

Single-Path NAS: Device-Aware Efficient ConvNet Design.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

CoRR, 2019

Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours.

Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

2018

A Stochastic Optimal Control Approach for Exploring Tradeoffs between Cost Savings and Battery Aging in Datacenter Demand Response.

Abdullah-Al Mamun, Iyswarya Narayanan, Di Wang, Anand Sivasubramaniam, Hosam K. Fathy

IEEE Trans. Control. Syst. Technol., 2018

Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results.

Yang Li, Di Wang, Saugata Ghose, Jie Liu, Sriram Govindan, Sean James, Eric Peterson, John Siegler, Rachata Ausavarungnirun, Onur Mutlu

CoRR, 2018

Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand Response.

Neda Nasiriani, George Kesidis, Di Wang

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty.

Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains.

Yuanyuan Shi, Bolun Xu, Di Wang, Baosen Zhang

CoRR, 2017

Measuring the Impact of Memory Errors on Application Performance.

Mark Gottscho, Mohammed Shoaib, Sriram Govindan, Bikash Sharma, Di Wang, Puneet Gupta

IEEE Comput. Archit. Lett., 2017

Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs.

Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley

Proceedings of the 26th International Conference on World Wide Web, 2017

Optimal Peak Shaving Using Batteries at Datacenters: Characterizing the Risks and Benefits.

Neda Nasiriani, George Kesidis, Di Wang

Proceedings of the 25th IEEE International Symposium on Modeling, 2017

Evaluating energy storage for a multitude of uses in the datacenter.

Iyswarya Narayanan, Di Wang, Abdullah-Al Mamun, Anand Sivasubramaniam, Hosam K. Fathy, Sean James

Proceedings of the 2017 IEEE International Symposium on Workload Characterization, 2017

Rain or Shine? - Making Sense of Cloudy Reliability Data.

Iyswarya Narayanan, Bikash Sharma, Di Wang, Sriram Govindan, Laura Caulfield, Anand Sivasubramaniam, Aman Kansal, Jie Liu, Badriddine Khessib, Kushagra Vaid

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016

SSD Failures in Datacenters: What, When and Why?

Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016

SizeCap: Efficiently handling power surges in fuel cell powered data centers.

Yang Li, Di Wang, Saugata Ghose, Jie Liu, Sriram Govindan, Sean James, Eric Peterson, John Siegler, Rachata Ausavarungnirun, Onur Mutlu

Proceedings of the 2016 IEEE International Symposium on High Performance Computer Architecture, 2016

Leveraging energy storage to optimize data center electricity cost in emerging power markets.

Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang

Proceedings of the Seventh International Conference on Future Energy Systems, Waterloo, ON, Canada, June 21, 2016

Battery health-conscious online power management for stochastic datacenter demand response.

Abdullah-Al Mamun, Iyswarya Narayanan, Di Wang, Anand Sivasubramaniam, Hosam K. Fathy

Proceedings of the 2016 American Control Conference, 2016

2014

Should We Dual-Purpose Energy Storage in Datacenters for Power Backup and Demand Response?

Iyswarya Narayanan, Di Wang, Abdullah-Al Mamun, Anand Sivasubramaniam, Hosam K. Fathy

Proceedings of the 6th Workshop on Power-Aware Computing and Systems, 2014

Underprovisioning backup power infrastructure for datacenters.

Di Wang, Sriram Govindan, Anand Sivasubramaniam, Aman Kansal, Jie Liu, Badriddine Khessib

Proceedings of the Architectural Support for Programming Languages and Operating Systems, 2014

2013

Aggressive Datacenter Power Provisioning with Batteries.

Sriram Govindan, Di Wang, Anand Sivasubramaniam, Bhuvan Urgaonkar

ACM Trans. Comput. Syst., 2013

ACE: abstracting, characterizing and exploiting peaks and valleys in datacenter power consumption.

Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal, Kushagra Vaid

Proceedings of the ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2013

Virtualizing power distribution in datacenters.

Di Wang, Chuangang Ren, Anand Sivasubramaniam

Proceedings of the 40th Annual International Symposium on Computer Architecture, 2013

ACE: Abstracting, characterizing and exploiting datacenter power demands.

Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal, Kushagra Vaid

Proceedings of the IEEE International Symposium on Workload Characterization, 2013

A Case for Heterogeneous Flash in the Datacenter.

Di Wang, Anand Sivasubramaniam, Bhuvan Urgaonkar

Proceedings of the 33rd International Conference on Distributed Computing Systems Workshops (ICDCS 2013 Workshops), 2013

2012

Energy storage in datacenters: what, where, and how much?

Di Wang, Chuangang Ren, Anand Sivasubramaniam, Bhuvan Urgaonkar, Hosam K. Fathy

Proceedings of the ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, 2012

Carbon-Aware Energy Capacity Planning for Datacenters.

Chuangang Ren, Di Wang, Bhuvan Urgaonkar, Anand Sivasubramaniam

Proceedings of the 20th IEEE International Symposium on Modeling, 2012

Leveraging stored energy for handling power emergencies in aggressively provisioned datacenters.

Sriram Govindan, Di Wang, Anand Sivasubramaniam, Bhuvan Urgaonkar

Proceedings of the 17th International Conference on Architectural Support for Programming Languages and Operating Systems, 2012

2011

Towards realizing a low cost and highly available datacenter power infrastructure.

Sriram Govindan, Di Wang, Lydia Y. Chen, Anand Sivasubramaniam, Bhuvan Urgaonkar

Proceedings of the 4th Workshop on Power-Aware Computing and Systems, 2011