Yongzhe Chang

According to our database¹, Yongzhe Chang authored at least 30 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2025

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, May, 2025

Diffusion-RainbowPA: Improvements Integrated Preference Alignment for Diffusion-based Text-to-Image Generation.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Are Large Language Models Really Robust to Word-Level Perturbations?

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2025

Learning Pre-Trained Tacit Behavior for Efficient Multi-Agent Adversarial Coordination.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Positive Enhanced Preference Alignment for Text-to-Image Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Identical Human Preference Alignment Paradigm for Text-to-Image Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences Through f-Divergence Minimization.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Solving time-delay issues in reinforcement learning via transformers.

[BibT_eX]

[DOI]

Appl. Intell., December, 2024

Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control.

[BibT_eX]

[DOI]

CoRR, 2024

Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through <i>f</i>-divergence Minimization.

[BibT_eX]

[DOI]

CoRR, 2024

Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation.

[BibT_eX]

[DOI]

CoRR, 2024

DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays.

[BibT_eX]

[DOI]

CoRR, 2024

A Method on Searching Better Activation Functions.

[BibT_eX]

[DOI]

CoRR, 2024

A Multi-Agent Behaviour Generation Algorithm Framework Used for Flexible Historical State Lengths.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2024

D3D: Conditional Diffusion Model for Decision-Making Under Random Frame Dropping.

[BibT_eX]

[DOI]

Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

2023

SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

EPO-S: A Constrained RL Method to Enhance UAV Safety with Spatial Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Overcoming Delayed Feedback via Overlook Decision Making.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Addressing Delays in Reinforcement Learning via Delayed Adversarial Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

A surrogate-assisted controller for expensive evolutionary reinforcement learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

2021

Probability Density Estimation Based Imitation Learning.

[BibT_eX]

[DOI]

CoRR, 2021

NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Dual Input-aware Factorization Machine for CTR Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Robust, Efficient and Scalable Learning of Point Process.

[BibT_eX]

[DOI]

Yongzhe Chang

PhD thesis, 2019

Recovering DTW Distance Between Noise Superposed NHPP.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Yongzhe Chang

Timeline

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