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ORCIDDi Wu 0057
Person information
- affiliation: Westlake University, Institute of Advanced Technology, CenBRAIN Neurotech, AI Lab, Research Center for Industries of the Future, Hangzhou, China
Other persons with the same name
- Di Wu — disambiguation page
- Di Wu 0001
![[0000-0002-9433-7725]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-9433-7725")
— Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China (and 3 more) - Di Wu 0002 — Hunan University, Department of Computer Engineering, Changsha, China (and 2 more)
- Di Wu 0003 — Linköping University, Sweden
- Di Wu 0004 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Di Wu 0005 — Huazhong University of Science and Technology, Wuhan, China
- Di Wu 0006 — MIT Media Lab, Cambridge, MA, USA (and 2 more)
- Di Wu 0007 — Dalian University of Technology, School of Computer Science and Technology, China
- Di Wu 0008 — The Chinese University of Hong Kong, Department of Systems Engineering and Engineering Management, Hong Kong
- Di Wu 0009 — PingAn Insurance Group Company of China Ltd., Shenzhen, China (and 2 more)
- Di Wu 0010 — Falcon Computing Solutions, Inc., Los Angeles, CA, USA (and 1 more)
- Di Wu 0011 — Jilin University, State Key Laboratory of Theoretical and Computational Chemistry, Changchun, China
- Di Wu 0012 — Zhejiang University, College of Biosystems Engineering and Food Science, Hangzhou, China
- Di Wu 0013 — Tsinghua University, Beijing, China
- Di Wu 0014 — Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China
- Di Wu 0015 — Nanjing University of Aeronautics and Astronautics, Nanjing, China
- Di Wu 0016 — University of Wisconsin-Madison, Madison, WI, USA (and 1 more)
- Di Wu 0017 — Texas A&M University, College Station, TX, USA
- Di Wu 0018 — Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
- Di Wu 0019 — Rutgers University, Winlab, Piscataway, NJ, USA
- Di Wu 0020 — Shanghai University of Engineering Science, Shanghai Collaborative Innovation Center of Laser Advanced Manufacturing Technology, Shanghai, China (and 1 more)
- Di Wu 0021 — Pacific Northwest National Laboratory, Richland, WA, USA
- Di Wu 0022 — CAS, Insitute of Computing Technology, Beijing, China (and 1 more)
- Di Wu 0023 — Beihang University, Robotics Institute, Beijing, China
- Di Wu 0024 — Chinese Academy of Sciences, Beijing Key Laboratory of Space Environment Exploration, Beijing, China
- Di Wu 0025 — Harbin Engineering University, College of Automation, China
- Di Wu 0026 — University of Oklahoma, School of Electrical and Computer Engineering, USA
- Di Wu 0027 — Shaanxi Normal University, Xi'an, China (and 2 more)
- Di Wu 0028 — Harbin Institute of Technology, School of Electronics and Information Engineering, China
- Di Wu 0029 — University of Melbourne, Australia
- Di Wu 0030 — Tongji University, School of Electronics and Information Engineering, Institute of Machine Learning and Systems Biology, Shanghai, China
- Di Wu 0031 — University of Edinburgh, Institute for Digital Communications, Edinburgh, UK
- Di Wu 0032 — Xi'an Jiaotong University, School of Managemen, Xi'an, China
- Di Wu 0033 — Hebei University of Engineering, Department of Information and Electronic Engineering, Handan, China (and 1 more)
- Di Wu 0034 — Georgia Institute of Technology, Atlanta, GA, USA
- Di Wu 0035 — Norwegian University of Science and Technology, Ålesund, Norway (and 2 more)
- Di Wu 0036 — Nankai University, Lianjin, China
- Di Wu 0037 — University of Southern California, Los Angeles, CA, USA
- Di Wu 0038 — Dalian University of Technology, School of Control Science and Engineering, Dalian, China (and 2 more)
- Di Wu 0039 — Dalian University of Technology, School of Software, Dalian, China
- Di Wu 0040 — Chinese Academy of Sciences, CAS Key Laboratory of FAST, National Astronomical Observatories, Beijing, China
- Di Wu 0041 — Harbin Engineering University, College of Computer Science and Technology, Harbin, China (and 1 more)
- Di Wu 0042 — New Jersey Institute of Technology, Advanced Networking Laboratory, Newark, NJ, USA
- Di Wu 0043 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Di Wu 0044 — McGill University, School of Computer Science, Montreal, Canada
- Di Wu 0045 — University of California at Los Angeles, Electrical Engineering Department, Los Angeles, CA, USA
- Di Wu 0046 — Hunan Institute of Engineering, College of Electrical and Information Engineering, Xiangtan, China
- Di Wu 0047 — Fourth Military Medical University, Department of Psychology, Shaanxi, China
- Di Wu 0048 — Hefei University of Technology, School of Electrical Engineering and Automation, Hefei, China
- Di Wu 0049 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Changchun, China
- Di Wu 0050 — University of Southern Queensland, Australia (and 2 more)
- Di Wu 0051 — University of Technology Sydney, School of Civil and Environmental Engineering, Sydney, Australia (and 1 more)
- Di Wu 0052 — Southeast University, School of Automation, Nanjing, China (and 1 more)
- Di Wu 0053 — Johns Hopkins University, Laboratory for Computational Sensing and Robotics, Baltimore, MD, USA (and 1 more)
- Di Wu 0054 — University of California, Los Angeles, CA, USA
- Di Wu 0055 — Hainan Century Frontier Asset Management Co. Ltd, China
- Di Wu 0056 — Southwest University, College of Computer and Information Science, Chongqing, China (and 1 more)
- Di Wu 0058 — Hainan University, School of Information and Communication Engineering, Haikou, China (and 1 more)
- Di Wu 0059 — Northwestern Polytechnical University, Xi'an, Shaanxi, China (and 2 more)
- Di Wu 0060 — Shenzhen University, College of Electronics and Information Engineering, Guangdong, China (and 4 more)
- Di Wu 0061 — Horizon Robotics, Beijing, China (and 2 more)
- Di Wu 0062 — Xi'an Jiaotong University, School of Computer Science and Technology, Shaanxi, China
- Di Wu 0063 — Harbin Engineering University, Department of Intelligent Systems Science and Engineering, China
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2020 – today
- 2024
[i15]Siyuan Li, Luyuan Zhang, Zedong Wang, Di Wu, Lirong Wu, Zicheng Liu, Jun Xia, Cheng Tan, Yang Liu, Baigui Sun, Stan Z. Li:
Masked Modeling for Self-supervised Representation Learning on Vision and Beyond. CoRR abs/2401.00897 (2024)- [i14]Siyuan Li, Zicheng Liu, Juanxi Tian, Ge Wang, Zedong Wang, Weiyang Jin, Di Wu, Cheng Tan, Tao Lin, Yang Liu, Baigui Sun, Stan Z. Li:
Switch EMA: A Free Lunch for Better Flatness and Sharpness. CoRR abs/2402.09240 (2024) - 2023
- [j2]Di Wu, Shiqi Zhao, Jie Yang, Mohamad Sawan:
Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression. IEEE Trans. Biomed. Circuits Syst. 17(2): 180-191 (2023) - [c7]Di Wu, Jie Yang, Mohamad Sawan:
Task-aware Compression for Wearable Sensor Data. BioCAS 2023: 1-5 - [c6]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. ICML 2023: 20149-20167 - 2022
- [j1]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Deep manifold embedding of attributed graphs. Neurocomputing 514: 83-93 (2022) - [c5]Shiqi Zhao, Di Wu, Jie Yang, Mohamad Sawan:
A Resource-Efficient and Data-Restricted Training Method Towards Neurological Symptoms Prediction. BioCAS 2022: 615-619 - [c4]Di Wu, Siyuan Li, Zelin Zang, Stan Z. Li:
Exploring Localization for Self-supervised Fine-grained Contrastive Learning. BMVC 2022: 268 - [c3]Zicheng Liu, Siyuan Li, Di Wu, Zihan Liu, Zhiyuan Chen, Lirong Wu, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers. ECCV (24) 2022: 441-458 - [c2]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-Flatness Manifold Embedding. ECCV (21) 2022: 576-592 - [c1]Di Wu, Jie Yang, Mohamad Sawan:
Towards Task-aware Signal Compression for Efficient Continuous Health Monitoring. ISCAS 2022: 2453-2457 - [i13]Di Wu, Jie Yang, Mohamad Sawan:
Bridging the Gap Between Patient-specific and Patient-independent Seizure Prediction via Knowledge Distillation. CoRR abs/2202.12598 (2022) - [i12]Di Wu, Siyuan Li, Jie Yang, Mohamad Sawan:
neuro2vec: Masked Fourier Spectrum Prediction for Neurophysiological Representation Learning. CoRR abs/2204.12440 (2022) - [i11]Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Architecture-Agnostic Masked Image Modeling - From ViT back to CNN. CoRR abs/2205.13943 (2022) - [i10]Zelin Zang, Siyuan Li, Di Wu, Ge Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
DLME: Deep Local-flatness Manifold Embedding. CoRR abs/2207.03160 (2022) - [i9]Siyuan Li, Zedong Wang, Zicheng Liu, Di Wu, Stan Z. Li:
OpenMixup: Open Mixup Toolbox and Benchmark for Visual Representation Learning. CoRR abs/2209.04851 (2022) - [i8]Di Wu, Jie Yang, Mohamad Sawan:
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond. CoRR abs/2210.06295 (2022) - [i7]Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin, Di Wu, Zhiyuan Chen, Jiangbin Zheng, Stan Z. Li:
Efficient Multi-order Gated Aggregation Network. CoRR abs/2211.03295 (2022) - 2021
- [i6]Zicheng Liu, Siyuan Li, Di Wu, Zhiyuan Chen, Lirong Wu, Jianzhu Guo, Stan Z. Li:
AutoMix: Unveiling the Power of Mixup. CoRR abs/2103.13027 (2021) - [i5]Zelin Zang, Siyuan Li, Di Wu, Jianzhu Guo, Yongjie Xu, Stan Z. Li:
Unsupervised Deep Manifold Attributed Graph Embedding. CoRR abs/2104.13048 (2021) - [i4]Di Wu, Siyuan Li, Zelin Zang, Kai Wang, Lei Shang, Baigui Sun, Hao Li, Stan Z. Li:
Align Yourself: Self-supervised Pre-training for Fine-grained Recognition via Saliency Alignment. CoRR abs/2106.15788 (2021) - [i3]Di Wu, Yi Shi, Ziyu Wang, Jie Yang, Mohamad Sawan:
C2SP-Net: Joint Compression and Classification Network for Epilepsy Seizure Prediction. CoRR abs/2110.13674 (2021) - [i2]Siyuan Li, Zelin Zang, Di Wu, Zhiyuan Chen, Stan Z. Li:
GenURL: A General Framework for Unsupervised Representation Learning. CoRR abs/2110.14553 (2021) - [i1]Siyuan Li, Zicheng Liu, Di Wu, Zihan Liu, Stan Z. Li:
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup. CoRR abs/2111.15454 (2021)
Coauthor Index
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last updated on 2024-04-25 02:43 CEST by the dblp team
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