Minhao Cheng

According to our database1, Minhao Cheng authored at least 26 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Online presence:

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Bibliography

2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.
CoRR, 2022

CAT: Customized Adversarial Training for Improved Robustness.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
On the Robustness of Neural Network: Attacks and Defenses.
PhD thesis, 2021

A Review of Adversarial Attack and Defense for Classification Methods.
CoRR, 2021

Concurrent Adversarial Learning for Large-Batch Training.
CoRR, 2021

Rethinking Architecture Selection in Differentiable NAS.
Proceedings of the 9th International Conference on Learning Representations, 2021

DrNAS: Dirichlet Neural Architecture Search.
Proceedings of the 9th International Conference on Learning Representations, 2021

RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Self-Progressing Robust Training.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Voting based ensemble improves robustness of defensive models.
CoRR, 2020

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack.
Proceedings of the 8th International Conference on Learning Representations, 2020

Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Enhancing Certifiable Robustness via a Deep Model Ensemble.
CoRR, 2019

Natural Adversarial Sentence Generation with Gradient-based Perturbation.
CoRR, 2019

Fast Training for Large-Scale One-versus-All Linear Classifiers using Tree-Structured Initialization.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Evaluating and Enhancing the Robustness of Dialogue Systems: A Case Study on a Negotiation Agent.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach.
Proceedings of the 7th International Conference on Learning Representations, 2019

On the Robustness of Self-Attentive Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Stochastic Zeroth-order Optimization via Variance Reduction method.
CoRR, 2018

Learning from Group Comparisons: Exploiting Higher Order Interactions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributed Primal-Dual Optimization for Non-uniformly Distributed Data.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Extreme Learning to Rank via Low Rank Assumption.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Robust Neural Networks via Random Self-ensemble.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
A Hyperplane-Based Algorithm for Semi-Supervised Dimension Reduction.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2015
Intelligent Mobile Framework Based on Swarm Computation.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015


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