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ORCIDPeng Yang 0013
Person information
- affiliation: Baidu Research, Cognitive Computing Lab, WA, USA
Other persons with the same name
- Peng Yang — disambiguation page
- Peng Yang 0001 — Rutgers University, Computer Science Department, Piscataway, NJ, USA (and 1 more)
- Peng Yang 0002 — University of Tokyo, Japan
- Peng Yang 0003
![[0000-0003-3675-3365]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-3675-3365")
— Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong - Peng Yang 0004 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China (and 2 more)
- Peng Yang 0005 — Ministry of Agriculture, Key Laboratory of Agri-informatics, Beijing, China (and 1 more)
- Peng Yang 0006 — Washington University in St. Louis, Preston M. Green Department of Electrical and Systems Engineering, MO, USA
- Peng Yang 0007 — Nanjing Audit University, School of Technology, China (and 2 more)
- Peng Yang 0008 — Southern University of Science and Technology, Department of Computer Science and Engineering, Shenzhen, China (and 1 more)
- Peng Yang 0009 — Beihang University, School of Electronic and Information Engineering / Key Laboratory of Advanced Technology of Near Space Information System, Beijing, China
- Peng Yang 0010 — King Abdullah University of Science and Technology, Saudi Arabia
- Peng Yang 0011 — Shenzhen University, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, China
- Peng Yang 0012 — Chongqing University of Arts and Sciences, China
- Peng Yang 0014 — Southeast University, School of Computer Science and Engineering, Nanjing, China (and 1 more)
- Peng Yang 0015 — Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, School of Artificial Intelligence, Tianjin, China
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Conference and Workshop Papers
- 2023
[c15]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. AAAI 2023: 506-515- [c14]Dingcheng Li, Peng Yang, Yue Zhang, Ping Li:
Power Norm Based Lifelong Learning for Paraphrase Generations. SIGIR 2023: 2266-2271 - 2022
- [c13]Yingjie Lao, Weijie Zhao, Peng Yang, Ping Li:
DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding. AAAI 2022: 9595-9603 - [c12]Weijie Zhao, Peng Yang, Dong Li, Xing Shen, Lin Li, Ping Li:
Feature Fusion Network for Personalized Online Advertising Systems. IEEE Big Data 2022: 2160-2168 - [c11]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CVPR 2022: 9437-9447 - [c10]Yingjie Lao, Peng Yang, Weijie Zhao, Ping Li:
Identification for Deep Neural Network: Simply Adjusting Few Weights! ICDE 2022: 1328-1341 - [c9]Peng Yang, Shaogang Ren, Yang Zhao, Ping Li:
Calibrating CNNs for Few-Shot Meta Learning. WACV 2022: 408-417 - 2021
- [c8]Peng Yang, Ping Li:
Adversarial Kernel Sampling on Class-imbalanced Data Streams. CIKM 2021: 2352-2362 - [c7]Xin Wang, Peng Yang, Shaopeng Chen, Lin Liu, Lian Zhao, Jiacheng Guo, Mingming Sun, Ping Li:
Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising. CIKM 2021: 4203-4213 - [c6]Peng Yang, Yingjie Lao, Ping Li:
Robust Watermarking for Deep Neural Networks via Bi-level Optimization. ICCV 2021: 14821-14830 - [c5]Peng Yang, Xiaoyun Li, Ping Li:
Graph-based Adversarial Online Kernel Learning with Adaptive Embedding. ICDM 2021: 797-806 - [c4]Haiyan Yin, Peng Yang, Ping Li:
Mitigating Forgetting in Online Continual Learning with Neuron Calibration. NeurIPS 2021: 10260-10272 - 2020
- [c3]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. AAAI 2020: 6631-6638 - [c2]Peng Yang, Ping Li:
Adaptive Online Kernel Sampling for Vertex Classification. AISTATS 2020: 363-373 - [c1]Peng Yang, Ping Li:
Efficient Online Multi-Task Learning via Adaptive Kernel Selection. WWW 2020: 2465-2471
Informal and Other Publications
- 2022
- [i3]Khoa D. Doan, Peng Yang, Ping Li:
One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. CoRR abs/2205.15721 (2022) - [i2]Khoa D. Doan, Yingjie Lao, Peng Yang, Ping Li:
Defending Backdoor Attacks on Vision Transformer via Patch Processing. CoRR abs/2206.12381 (2022) - 2020
- [i1]Peng Yang, Ping Li:
Distributed Primal-Dual Optimization for Online Multi-Task Learning. CoRR abs/2004.01305 (2020)
Coauthor Index
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