Peng Yang

Orcid: 0009-0005-3449-5843

Affiliations:
  • Baidu Research, Cognitive Computing Lab, WA, USA


According to our database1, Peng Yang authored at least 16 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Power Norm Based Lifelong Learning for Paraphrase Generations.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Defending Backdoor Attacks on Vision Transformer via Patch Processing.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Calibrating CNNs for Few-Shot Meta Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Identification for Deep Neural Network: Simply Adjusting Few Weights!
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Continual Learning for Natural Language Generations with Transformer Calibration.
Proceedings of the 26th Conference on Computational Natural Language Learning, 2022

Feature Fusion Network for Personalized Online Advertising Systems.
Proceedings of the IEEE International Conference on Big Data, 2022

DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Mitigating Forgetting in Online Continual Learning with Neuron Calibration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Graph-based Adversarial Online Kernel Learning with Adaptive Embedding.
Proceedings of the IEEE International Conference on Data Mining, 2021

Robust Watermarking for Deep Neural Networks via Bi-level Optimization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Kernel Sampling on Class-imbalanced Data Streams.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Efficient Learning to Learn a Robust CTR Model for Web-scale Online Sponsored Search Advertising.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Efficient Online Multi-Task Learning via Adaptive Kernel Selection.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Adaptive Online Kernel Sampling for Vertex Classification.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Distributed Primal-Dual Optimization for Online Multi-Task Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020


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