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Yongzhe Chang
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2020 – today
- 2024
- [j2]Bo Xia
, Zaihui Yang, Minzhi Xie, Yongzhe Chang, Bo Yuan
Solving time-delay issues in reinforcement learning via transformers. Appl. Intell. 54(23): 12156-12176 (2024) - [c9]Bo Xia, Yifu Luo, Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang:
D3D: Conditional Diffusion Model for Decision-Making Under Random Frame Dropping. RO-MAN 2024: 278-284 - [i11]Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang, Zibin Dong, Yifu Yuan, Yongzhe Chang, Xueqian Wang:
A Method on Searching Better Activation Functions. CoRR abs/2405.12954 (2024) - [i10]Bo Xia, Yilun Kong, Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang, Bin Liang:
DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays. CoRR abs/2406.03102 (2024) - [i9]Yilun Kong, Hangyu Mao, Qi Zhao, Bin Zhang, Jingqing Ruan, Li Shen, Yongzhe Chang, Xueqian Wang, Rui Zhao, Dacheng Tao:
QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning. CoRR abs/2408.10504 (2024) - [i8]Haoyu Wang, Bingzhe Wu, Yatao Bian, Yongzhe Chang, Xueqian Wang, Peilin Zhao:
Probing the Safety Response Boundary of Large Language Models via Unsafe Decoding Path Generation. CoRR abs/2408.10668 (2024) - [i7]Haoyuan Sun, Bo Xia, Yongzhe Chang, Xueqian Wang:
Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through f-divergence Minimization. CoRR abs/2409.09774 (2024) - [i6]Yuxing Wang, Jie Li, Cong Yu, Xinyang Li, Simeng Huang, Yongzhe Chang, Xueqian Wang, Bin Liang:
Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control. CoRR abs/2409.13166 (2024) - 2023
- [c8]Yuxing Wang, Shuang Wu, Tiantian Zhang, Yongzhe Chang, Haobo Fu, Qiang Fu, Xueqian Wang:
PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training. CoRL 2023: 478-498 - [c7]Minzhi Xie, Bo Xia, Yalou Yu, Xueqian Wang, Yongzhe Chang:
Addressing Delays in Reinforcement Learning via Delayed Adversarial Imitation Learning. ICANN (3) 2023: 271-282 - [c6]Yuxing Wang, Shuang Wu, Haobo Fu, Qiang Fu, Tiantian Zhang, Yongzhe Chang, Xueqian Wang:
Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots. ICLR 2023 - [c5]Yalou Yu, Bo Xia, Minzhi Xie, Xueqian Wang, Zhiheng Li, Yongzhe Chang:
Overcoming Delayed Feedback via Overlook Decision Making. SMC 2023: 31-37 - [c4]Qin Zhang, Linrui Zhang, Zaihui Yang, Haoyu Wang, Xueqian Wang, Yongzhe Chang:
EPO-S: A Constrained RL Method to Enhance UAV Safety with Spatial Representation. SMC 2023: 3835-3841 - [i5]Qin Zhang, Linrui Zhang, Haoran Xu, Li Shen, Bowen Wang, Yongzhe Chang, Xueqian Wang, Bo Yuan, Dacheng Tao:
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning. CoRR abs/2301.12203 (2023) - [i4]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:
Are Large Language Models Really Robust to Word-Level Perturbations? CoRR abs/2309.11166 (2023) - 2022
- [j1]Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Xueqian Wang, Bin Liang, Bo Yuan:
A surrogate-assisted controller for expensive evolutionary reinforcement learning. Inf. Sci. 616: 539-557 (2022) - [i3]Yuxing Wang, Tiantian Zhang, Yongzhe Chang, Bin Liang, Xueqian Wang, Bo Yuan:
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning. CoRR abs/2201.00129 (2022) - 2021
- [i2]Liang Xu, Liying Zheng, Weijun Li, Zhenbo Chen, Weishun Song, Yue Deng, Yongzhe Chang, Jing Xiao, Bo Yuan:
NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection. CoRR abs/2101.02908 (2021) - [i1]Yang Liu, Yongzhe Chang, Shilei Jiang, Xueqian Wang, Bin Liang, Bo Yuan:
Probability Density Estimation Based Imitation Learning. CoRR abs/2112.06746 (2021) - 2020
- [c3]Wantong Lu, Yantao Yu, Yongzhe Chang, Zhen Wang
A Dual Input-aware Factorization Machine for CTR Prediction. IJCAI 2020: 3139-3145
2010 – 2019
- 2019
- [b1]Yongzhe Chang:
Robust, Efficient and Scalable Learning of Point Process. University of New South Wales, Sydney, Australia, 2019 - [c2]Yongzhe Chang, Zhidong Li
Exploring Latent Structure Similarity for Bayesian Nonparameteric Model with Mixture of NHPP Sequence. ICONIP (2) 2019: 432-444 - [c1]Yongzhe Chang, Zhidong Li
Recovering DTW Distance Between Noise Superposed NHPP. PAKDD (2) 2019: 229-241
Coauthor Index
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last updated on 2024-11-26 20:47 CET by the dblp team
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