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ORCIDDi Wang 0003
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (PhD 2014): Pennsylvania State University, Computer Science and Engineering Department, University Park, PA, USA
Other persons with the same name
- Di Wang — disambiguation page
- Di Wang 0001 — Khalifa University, EBTIC, Abu Dhabi, UAE (and 2 more)
- Di Wang 0002 — Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, Boca Raton, FL, USA
- Di Wang 0004
![[0000-0002-3171-4001]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3171-4001")
— Nanyang Technological University, School of Computer Engineering / Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly, Singapore - Di Wang 0005 — Google Research, Mountain View, CA, USA (and 1 more)
- Di Wang 0006 — TU Wien, Department of Geodesy and Geoinformation, Group of Photogrammetry, Vienna, Austria
- Di Wang 0007 — Macquarie University, Department of Computing, Sydney, NSW, Australia (and 1 more)
- Di Wang 0008 — Xi'an Jiaotong University, School of Management, Center for Intelligent Decision-Making and Machine Learning, China (and 2 more)
- Di Wang 0009 — Northeast Petroleum University, School of Electrical Information Engineering, Daqing, China
- Di Wang 0010 — Southeast University, Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing, China
- Di Wang 0011 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Di Wang 0012 — University of Michigan, College of Engineering, Ann Arbor, MI, USA (and 1 more)
- Di Wang 0013 — University of Southampton, Southampton Business School, UK
- Di Wang 0014 — Peking University, Institute of Population Research, Beijing, China
- Di Wang 0015 — King Abdullah University of Science and Technology (KAUST), Saudi Arabia (and 1 more)
- Di Wang 0016 — Beijing Institute of Technology, China
- Di Wang 0017 — Peking University, Beijing, China (and 1 more)
- Di Wang 0018 — Dalian University of Technology, School of Software Technology, Dalian, Liaoning, China
- Di Wang 0019 — Shanghai Jiao Tong University, School of Mechanical Engineering, Department of Industrial Engineering and Management, Shanghai, China
- Di Wang 0020 — Texas A&M University, Computer Science and Engineering Department, College Station, TX, USA
- Di Wang 0021 — University of Canterbury, Christchurch, New Zealand (and 1 more)
- Di Wang 0022 — Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
- Di Wang 0023 — JD Explore Academy, Beijing, China (and 2 more)
- Di Wang 0024 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China (and 1 more)
- Di Wang 0025 — Wuhan University, School of Cyber Science and Engineering, China (and 1 more)
- Di Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Di Wang 0027 — Tianjin University of Science and Technology, School of Electronic Information and Automation, China
- Di Wang 0028 — Plus Inc., Suzhou, China (and 1 more)
- Di Wang 0029 — University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, IL, USA
- Di Wang 0030 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Di Wang 0031 — Facebook, Seattle, WA, USA (and 1 more)
- Di Wang 0032 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electromachnical Engineering, China
- Di Wang 0033 — Tiangong University, School of Electronics and Information Engineering, Tianjin, China (and 1 more)
- Di Wang 0034 — University of Kitakyushu, Graduate School of Environmental Engineering, Wakamatsu, Japan (and 1 more)
- Di Wang 0035 — Chongqing Jiaotong University, School of Information Science and Engineering, China (and 2 more)
- Di Wang 0036 — Northeast Forestry University, College of Information and Computer Engineering, Harbin, China (and 1 more)
- Di Wang 0037 — Nagoya University, Department of Civil and Environmental Engineering, Japan
- Di Wang 0038 — Wuhan University of Technology, School of Management, China (and 1 more)
- Di Wang 0039 — Northwest Minzu University, Key Laboratory of China's Ethnic Languages and Information Technology of Ministry of Education, Lanzhou, Gansu, China (and 1 more)
- Di Wang 0040 — University of Manchester, School of Informatics, UK (and 1 more)
2020 – today
- 2025
[j10]Fuxun Yu, Zirui Xu, Longfei Shangguan, Di Wang, Dimitrios Stamoulis, Rishi Madhok, Nikolaos Karianakis, Ang Li, Chenchen Liu, Yiran Chen, Xiang Chen:
Rethinking Latency-Aware DNN Design With GPU Tail Effect Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 44(1): 266-279 (2025)- [c36]Zhiwei Ren, Junbo Li, Minjia Zhang, Di Wang, Xiaoran Fan, Longfei Shangguan:
Toward Sensor-In-the-Loop LLM Agent: Benchmarks and Implications. SenSys 2025: 254-267 - 2024
- [j9]Tao Chen, Baoyu Zhang, Xiao Wang, Weishan Zhang, Chitin Hon, Di Wang, Long Chen, Qiang Li, Fei-Yue Wang:
Public Opinion Evolution in Cyberspace: A Case Analysis of Pelosi's Visit to Taiwan. IEEE Trans. Comput. Soc. Syst. 11(1): 319-329 (2024) - [j8]Liang Xu, Tao Chen, Zhaoxiang Hou, Weishan Zhang, Chitin Hon, Xiao Wang, Di Wang, Long Chen, Wenyin Zhu, Yunlong Tian, Huansheng Ning, Fei-Yue Wang:
Knowledge Graph-Based Reinforcement Federated Learning for Chinese Question and Answering. IEEE Trans. Comput. Soc. Syst. 11(1): 1035-1045 (2024) - [j7]Fang Wang, Gang Xiong, Qihang Fang, Zhen Shen, Di Wang, Xisong Dong, Fei-Yue Wang:
A Dual Neural Network for Defect Detection With Highly Imbalanced Data in 3-D Printing. IEEE Trans. Comput. Soc. Syst. 11(6): 8078-8088 (2024) - [c35]Fang Wang, Gang Xiong, Qihang Fang, Zhen Shen, Di Wang, Li Wan, Xisong Dong, Fei-Yue Wang:
In-Situ 3D Printing Monitoring in Dynamic Environments via Self-Supervised Deep Neural Network Adaptation. CASE 2024: 1897-1902 - [c34]Xinyue Jiang, Dezhang Kong, Zhengyan Zhou, Di Wang, Shuangxi Chen, Chunming Wu:
FlexPDD: Enabling Proportional Delay Differentiation Service on Programmable Switches. GLOBECOM 2024: 1912-1917 - 2023
- [c33]Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon:
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro. MobiCom 2023: 83:1-83:15 - [c32]Xi Sun, Xiang Chen, Di Wang, Zhengyan Zhou, Xinyue Jiang, Wenhai Wang, Chunming Wu, Haifeng Zhou:
RFT: Toward Highly Reliable Flow Data Transmission in Network Measurement. SECON 2023: 474-482 - [i19]Yongbo Yu, Fuxun Yu, Mingjia Zhang, Di Wang, Tolga Soyata, Chenchen Liu, Xiang Chen:
GACER: Granularity-Aware ConcurrEncy Regulation for Multi-Tenant Deep Learning. CoRR abs/2304.11745 (2023) - [i18]Xinyue Ma, Suyeon Jeong, Minjia Zhang, Di Wang, Jonghyun Choi, Myeongjae Jeon:
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro. CoRR abs/2308.06053 (2023) - 2022
- [j6]Fuxun Yu, Zirui Xu, Chenchen Liu, Dimitrios Stamoulis, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDoteX: Attention-Based Dynamic Optimization for Neural Network Runtime Efficiency. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4694-4707 (2022) - [c31]Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon:
CarM: hierarchical episodic memory for continual learning. DAC 2022: 1147-1152 - [c30]Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen:
SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. WACV 2022: 1061-1070 - [c29]Eyhab Al-Masri, Di Wang:
Second International Workshop on the Efficiency of Modern Data Centers (EMDC) Chairs' Welcome. WWW (Companion Volume) 2022: 546-547 - [c28]Yongbo Yu, Fuxun Yu, Zirui Xu, Di Wang, Minjia Zhang, Ang Li, Shawn Bray, Chenchen Liu, Xiang Chen:
Powering Multi-Task Federated Learning with Competitive GPU Resource Sharing. WWW (Companion Volume) 2022: 567-571 - [i17]Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Chenchen Liu, Xiang Chen:
A Survey of Multi-Tenant Deep Learning Inference on GPU. CoRR abs/2203.09040 (2022) - 2021
- [j5]Fuxun Yu, Zhuwei Qin, Chenchen Liu, Di Wang, Xiang Chen:
REIN the RobuTS: Robust DNN-Based Image Recognition in Autonomous Driving Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1258-1271 (2021) - [c27]Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen:
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. ICCAD 2021: 1-9 - [c26]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Fed2: Feature-Aligned Federated Learning. KDD 2021: 2066-2074 - [i16]Yang Li, Di Wang, José M. F. Moura:
GSA-Forecaster: Forecasting Graph-Based Time-Dependent Data with Graph Sequence Attention. CoRR abs/2104.05914 (2021) - [i15]Soobee Lee, Minindu Weerakoon, Jonghyun Choi, Minjia Zhang, Di Wang, Myeongjae Jeon:
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning. CoRR abs/2110.07276 (2021) - [i14]Fuxun Yu, Di Wang, Longfei Shangguan, Minjia Zhang, Xulong Tang, Chenchen Liu, Xiang Chen:
A Survey of Large-Scale Deep Learning Serving System Optimization: Challenges and Opportunities. CoRR abs/2111.14247 (2021) - [i13]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Fed2: Feature-Aligned Federated Learning. CoRR abs/2111.14248 (2021) - [i12]Fuxun Yu, Shawn Bray, Di Wang, Longfei Shangguan, Xulong Tang, Chenchen Liu, Xiang Chen:
Automated Runtime-Aware Scheduling for Multi-Tenant DNN Inference on GPU. CoRR abs/2111.14255 (2021) - 2020
- [j4]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. IEEE J. Sel. Top. Signal Process. 14(4): 609-622 (2020) - [c25]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. DATE 2020: 951-956 - [c24]Fuxun Yu, Zhuwei Qin, Di Wang, Ping Xu, Chenchen Liu, Zhi Tian, Xiang Chen:
DC-CNN: Computational Flow Redefinition for Efficient CNN through Structural Decoupling. DATE 2020: 1097-1102 - [c23]Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Exploring the Design Space of Efficient Deep Neural Networks. SEC 2020: 317-318 - [i11]Fuxun Yu, Chenchen Liu, Di Wang, Yanzhi Wang, Xiang Chen:
AntiDote: Attention-based Dynamic Optimization for Neural Network Runtime Efficiency. CoRR abs/2008.06543 (2020) - [i10]Fuxun Yu, Weishan Zhang, Zhuwei Qin, Zirui Xu, Di Wang, Chenchen Liu, Zhi Tian, Xiang Chen:
Heterogeneous Federated Learning. CoRR abs/2008.06767 (2020) - [i9]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:
Towards Latency-aware DNN Optimization with GPU Runtime Analysis and Tail Effect Elimination. CoRR abs/2011.03897 (2020) - [i8]Fuxun Yu, Dimitrios Stamoulis, Di Wang, Dimitrios Lymberopoulos, Xiang Chen:
Third ArchEdge Workshop: Exploring the Design Space of Efficient Deep Neural Networks. CoRR abs/2011.10912 (2020)
2010 – 2019
- 2019
- [c22]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in Less Than 4 Hours. ECML/PKDD (2) 2019: 481-497 - [i7]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours. CoRR abs/1904.02877 (2019) - [i6]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path NAS: Device-Aware Efficient ConvNet Design. CoRR abs/1905.04159 (2019) - [i5]Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu:
Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization. CoRR abs/1907.00959 (2019) - [i4]Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Pei Yu, Dimitrios Lymberopoulos, Xiang Chen:
Unsupervised Domain Adaptation for Object Detection via Cross-Domain Semi-Supervised Learning. CoRR abs/1911.07158 (2019) - 2018
- [j3]Abdullah-Al Mamun, Iyswarya Narayanan, Di Wang, Anand Sivasubramaniam, Hosam K. Fathy:
A Stochastic Optimal Control Approach for Exploring Tradeoffs between Cost Savings and Battery Aging in Datacenter Demand Response. IEEE Trans. Control. Syst. Technol. 26(1): 360-367 (2018) - [c21]Mengting Wan, Di Wang, Jie Liu, Paul Bennett, Julian J. McAuley:
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty. CIKM 2018: 1133-1142 - [c20]Neda Nasiriani, George Kesidis, Di Wang:
Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand Response. e-Energy 2018: 21-32 - [i3]Yang Li, Di Wang, Saugata Ghose, Jie Liu, Sriram Govindan, Sean James, Eric Peterson, John Siegler, Rachata Ausavarungnirun, Onur Mutlu:
Techniques for Efficiently Handling Power Surges in Fuel Cell Powered Data Centers: Modeling, Analysis, Results. CoRR abs/1806.04506 (2018) - 2017
- [j2]Mark Gottscho, Mohammed Shoaib, Sriram Govindan, Bikash Sharma, Di Wang, Puneet Gupta:
Measuring the Impact of Memory Errors on Application Performance. IEEE Comput. Archit. Lett. 16(1): 51-55 (2017) - [c19]Iyswarya Narayanan, Bikash Sharma, Di Wang, Sriram Govindan, Laura Caulfield, Anand Sivasubramaniam, Aman Kansal, Jie Liu, Badriddine Khessib, Kushagra Vaid:
Rain or Shine? - Making Sense of Cloudy Reliability Data. ICDCS 2017: 218-229 - [c18]Iyswarya Narayanan, Di Wang, Abdullah-Al Mamun, Anand Sivasubramaniam, Hosam K. Fathy, Sean James:
Evaluating energy storage for a multitude of uses in the datacenter. IISWC 2017: 12-21 - [c17]Neda Nasiriani, George Kesidis, Di Wang:
Optimal Peak Shaving Using Batteries at Datacenters: Characterizing the Risks and Benefits. MASCOTS 2017: 164-174 - [c16]Mengting Wan, Di Wang, Matthew Goldman, Matt Taddy, Justin Rao, Jie Liu, Dimitrios Lymberopoulos, Julian J. McAuley:
Modeling Consumer Preferences and Price Sensitivities from Large-Scale Grocery Shopping Transaction Logs. WWW 2017: 1103-1112 - [i2]Yuanyuan Shi, Bolun Xu, Di Wang, Baosen Zhang:
Using Battery Storage for Peak Shaving and Frequency Regulation: Joint Optimization for Superlinear Gains. CoRR abs/1702.08065 (2017) - 2016
- [c15]Abdullah-Al Mamun, Iyswarya Narayanan, Di Wang, Anand Sivasubramaniam, Hosam K. Fathy:
Battery health-conscious online power management for stochastic datacenter demand response. ACC 2016: 3206-3211 - [c14]Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang:
Leveraging energy storage to optimize data center electricity cost in emerging power markets. e-Energy 2016: 18:1-18:13 - [c13]Yang Li, Di Wang, Saugata Ghose, Jie Liu, Sriram Govindan, Sean James, Eric Peterson, John Siegler, Rachata Ausavarungnirun, Onur Mutlu:
SizeCap: Efficiently handling power surges in fuel cell powered data centers. HPCA 2016: 444-456 - [c12]Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid:
SSD Failures in Datacenters: What, When and Why? SIGMETRICS 2016: 407-408 - [c11]Iyswarya Narayanan, Di Wang, Myeongjae Jeon, Bikash Sharma, Laura Caulfield, Anand Sivasubramaniam, Ben Cutler, Jie Liu, Badriddine M. Khessib, Kushagra Vaid:
SSD Failures in Datacenters: What? When? and Why? SYSTOR 2016: 7:1-7:11 - [i1]Yuanyuan Shi, Bolun Xu, Baosen Zhang, Di Wang:
Leveraging energy storage to optimize data center electricity cost in emerging power markets. CoRR abs/1606.01536 (2016) - 2014
- [c10]Di Wang, Sriram Govindan, Anand Sivasubramaniam, Aman Kansal, Jie Liu, Badriddine Khessib:
Underprovisioning backup power infrastructure for datacenters. ASPLOS 2014: 177-192 - [c9]Iyswarya Narayanan, Di Wang, Abdullah-Al Mamun, Anand Sivasubramaniam, Hosam K. Fathy:
Should We Dual-Purpose Energy Storage in Datacenters for Power Backup and Demand Response? HotPower 2014 - 2013
- [j1]Sriram Govindan, Di Wang, Anand Sivasubramaniam, Bhuvan Urgaonkar:
Aggressive Datacenter Power Provisioning with Batteries. ACM Trans. Comput. Syst. 31(1): 2 (2013) - [c8]Di Wang, Anand Sivasubramaniam, Bhuvan Urgaonkar:
A Case for Heterogeneous Flash in the Datacenter. ICDCS Workshops 2013: 220-225 - [c7]Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal, Kushagra Vaid:
ACE: Abstracting, characterizing and exploiting datacenter power demands. IISWC 2013: 44-55 - [c6]Di Wang, Chuangang Ren, Anand Sivasubramaniam:
Virtualizing power distribution in datacenters. ISCA 2013: 595-606 - [c5]Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal, Kushagra Vaid:
ACE: abstracting, characterizing and exploiting peaks and valleys in datacenter power consumption. SIGMETRICS 2013: 333-334 - 2012
- [c4]Sriram Govindan, Di Wang, Anand Sivasubramaniam, Bhuvan Urgaonkar:
Leveraging stored energy for handling power emergencies in aggressively provisioned datacenters. ASPLOS 2012: 75-86 - [c3]Chuangang Ren, Di Wang, Bhuvan Urgaonkar, Anand Sivasubramaniam:
Carbon-Aware Energy Capacity Planning for Datacenters. MASCOTS 2012: 391-400 - [c2]Di Wang, Chuangang Ren, Anand Sivasubramaniam, Bhuvan Urgaonkar, Hosam K. Fathy:
Energy storage in datacenters: what, where, and how much? SIGMETRICS 2012: 187-198 - 2011
- [c1]Sriram Govindan, Di Wang, Lydia Y. Chen, Anand Sivasubramaniam, Bhuvan Urgaonkar:
Towards realizing a low cost and highly available datacenter power infrastructure. HotPower@SOSP 2011: 7:1-7:5
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