Yifang Chen
Orcid: 0000-0002-7219-9026
According to our database1,
Yifang Chen
authored at least 36 papers
between 2009 and 2024.
Collaborative distances:
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Bibliography
2024
Variance Alignment Score: A Simple But Tough-to-Beat Data Selection Method for Multimodal Contrastive Learning.
CoRR, 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.
CoRR, 2024
2023
An Adaptive IPM-Based HEVC Video Steganography via Minimizing Non-Additive Distortion.
IEEE Trans. Dependable Secur. Comput., 2023
CoRR, 2023
Distributed Optimal Scheduling of Integrated Energy Systems Based on Federated Reinforcement Learning.
Proceedings of the 5th International Conference on Robotics, 2023
A Lightweight-Model Based Federated Learning Approach for Fault Diagnosis in Intelligent Power Distribution Systems.
Proceedings of the 5th International Conference on Robotics, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
CoRR, 2022
A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior.
CoRR, 2022
An adversarial learning framework with cross-domain loss for median filtered image restoration and anti-forensics.
Comput. Secur., 2022
Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2022
First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Automated Design of Neural Network Architectures With Reinforcement Learning for Detection of Global Manipulations.
IEEE J. Sel. Top. Signal Process., 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Auto-Generating Neural Networks with Reinforcement Learning for Multi-Purpose Image Forensics.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020
Multi-Armed Bandits with Fairness Constraints for Distributing Resources to Human Teammates.
Proceedings of the HRI '20: ACM/IEEE International Conference on Human-Robot Interaction, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
2019
A multi-purpose image forensic method using densely connected convolutional neural networks.
J. Real Time Image Process., 2019
CoRR, 2019
Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams.
CoRR, 2019
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019
A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal and Parameter-free.
Proceedings of the Conference on Learning Theory, 2019
Achieving Optimal Dynamic Regret for Non-stationary Bandits without Prior Information.
Proceedings of the Conference on Learning Theory, 2019
2018
IEEE Trans. Commun., 2018
Densely Connected Convolutional Neural Network for Multi-purpose Image Forensics under Anti-forensic Attacks.
Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Proceedings of the 5th ACM Workshop on Information Hiding and Multimedia Security, 2017
2015
IET Circuits Devices Syst., 2015
2009
Trilayer nanoimprint fabrication and simulation of the silicon nanowire sensor for gas detection.
Proceedings of the 4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2009