Yongzhe Chang

According to our database, Yongzhe Chang authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Haoyu Wang, Guozheng Ma, Cong Yu, Ning Gui, Linrui Zhang, Zhiqi Huang, Suwei Ma, Yongzhe Chang, Sen Zhang, Li Shen, Xueqian Wang, Peilin Zhao, Dacheng Tao

CoRR, 2023

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

Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao

CoRR, 2023

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

Qin Zhang, Linrui Zhang, Zaihui Yang, Haoyu Wang, Xueqian Wang, Yongzhe Chang

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

Overcoming Delayed Feedback via Overlook Decision Making.

YaLou Yu, Bo Xia, Minzhi Xie, Xueqian Wang, Zhiheng Li, Yongzhe Chang

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.

Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang

Proceedings of the Conference on Robot Learning, 2023

2022

A surrogate-assisted controller for expensive evolutionary reinforcement learning.

Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Xueqian Wang, Bin Liang, Bo Yuan

Inf. Sci., 2022

2021

Probability Density Estimation Based Imitation Learning.

Yang Liu, Yongzhe Chang, Shilei Jiang, Xueqian Wang, Bin Liang, Bo Yuan

CoRR, 2021

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

Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan

CoRR, 2021

2020

A Dual Input-aware Factorization Machine for CTR Prediction.

Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang, Chenhui Li, Bo Yuan

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

2019

Robust, Efficient and Scalable Learning of Point Process.

Yongzhe Chang

PhD thesis, 2019

Recovering DTW Distance Between Noise Superposed NHPP.

Yongzhe Chang, Zhidong Li, Bang Zhang, Ling Luo, Arcot Sowmya, Yang Wang, Fang Chen

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

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

Yongzhe Chang, Zhidong Li, Ling Luo, Simon Luo, Arcot Sowmya, Yang Wang, Fang Chen

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