Yongzhe Chang

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All published works

Action	Title	Year	Authors
+ PDF Chat	Morphology and Behavior Co-Optimization of Modular Satellites for Attitude Control	2024	Yuxing Wang J. Li Cong Yu Xinyang Li Simeng Huang Yongzhe Chang Xueqian Wang Bin Liang
+ PDF Chat	Generalizing Alignment Paradigm of Text-to-Image Generation with Preferences through $f$-divergence Minimization	2024	Haoyuan Sun Bo Xia Yongzhe Chang Xueqian Wang
+ PDF Chat	QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning	2024	Yilun Kong Hangyu Mao Qi Zhao Bin Zhang Jingqing Ruan Shen Li Yongzhe Chang Xueqian Wang Rui Zhao Dacheng Tao
+ PDF Chat	DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable Delays	2024	Bo Xia Yilun Kong Yongzhe Chang Bo Yuan Zhiheng Li Xueqian Wang Bin Liang
+	Graph Convolutional Neural Networks based Marked Point Process	2023	Yongzhe Chang Xinhang Xiao Yu Yang
+	SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning	2023	Qin Zhang Linrui Zhang Haoran Xu Li Shen Bowen Wang Yongzhe Chang Xueqian Wang Bo Yuan Dacheng Tao
+	Are Large Language Models Really Robust to Word-Level Perturbations?	2023	H. Wang Guozheng Ma Cong Yu Ning Gui Linrui Zhang Zhiqi Huang Suwei Ma Yongzhe Chang Sen Zhang Li Shen
+ PDF Chat	A surrogate-assisted controller for expensive evolutionary reinforcement learning	2022	Yuxing Wang Tiantian Zhang Yongzhe Chang Xueqian Wang Bin Liang Bo Yuan
+	A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning	2022	Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan
+ PDF Chat	Probability Density Estimation Based Imitation Learning	2021	Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan
+	NVAE-GAN Based Approach for Unsupervised Time Series Anomaly Detection	2021	Liang Xu Liying Zheng Weijun Li Zhenbo Chen Weishun Song Yue Deng Yongzhe Chang Jing Xiao Bo Yuan
+	Probability Density Estimation Based Imitation Learning	2021	Yang Liu Yongzhe Chang Shilei Jiang Xueqian Wang Bin Liang Bo Yuan

Common Coauthors

Coauthor	Papers Together
Xueqian Wang	9
Bo Yuan	7
Bin Liang	3
Dacheng Tao	3
Li Shen	2
Yang Liu	2
Yilun Kong	2
Linrui Zhang	2
Yuxing Wang	2
Tiantian Zhang	2
Shilei Jiang	2
Bo Xia	1
Hangyu Mao	1
Jingqing Ruan	1
Weishun Song	1
Yue Deng	1
Yu Yang	1
Zhiqi Huang	1
Weijun Li	1
Sen Zhang	1
Bin Zhang	1
Bowen Wang	1
Qin Zhang	1
Jie Li	1
Haoyuan Sun	1
Yuxing Wang	1
Bin Liang	1
Liang Xu	1
J. Li	1
Xueqian Wang	1
Zhiheng Li	1
Bin Liang	1
Haoran Xu	1
Guozheng Ma	1
Jing Xiao	1
Bin Liang	1
Shen Li	1
Simeng Huang	1
Xinyang Li	1
Suwei Ma	1
H. Wang	1
Ning Gui	1
Peilin Zhao	1
Xinhang Xiao	1
Zhenbo Chen	1
Bo Xia	1
Qi Zhao	1
Cong Yu	1
Cong Yu	1
Rui Zhao	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Marked Point Process Models of Raindrop-Size Distributions	1993	James A. Smith	1
+	On the convergence of a wide range of trust region methods for unconstrained optimization	2009	M. J. D. Powell	1
+ PDF Chat	No free lunch theorems for optimization	1997	David H. Wolpert William G. Macready	1
+ PDF Chat	Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark	2015	Alexander Lavin Subutai Ahmad	1
+	Recurrent Marked Temporal Point Processes	2016	Nan Du Hanjun Dai Rakshit Trivedi Utkarsh Upadhyay Manuel Gomez-Rodriguez Le Song	1
+	Multiple objects detection in biological images using a marked point process framework	2016	Xavier Descombes	1
+	Automatic Anomaly Detection in the Cloud Via Statistical Learning	2017	Jordan Hochenbaum Owen Vallis Arun Kejariwal	1
+	IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis	2018	Huaibo Huang zhihang li Ran He Zhenan Sun Tieniu Tan	1
+ PDF Chat	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks	2019	Dan Li Dacheng Chen Baihong Jin Lei Shi Jonathan Goh See-Kiong Ng	1
+ PDF Chat	Time-Series Anomaly Detection Service at Microsoft	2019	Hansheng Ren Bixiong Xu Yujing Wang Chao Yi Congrui Huang Xiaoyu Kou Tony Xing Mao Yang Jie Tong Qi Zhang	1
+ PDF Chat	Safe mutations for deep and recurrent neural networks through output gradients	2018	Joel Lehman Jay Chen Jeff Clune Kenneth O. Stanley	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks	2019	Dan Li Dacheng Chen Baihong Jin Lei Shi Jonathan Goh See-Kiong Ng	1
+	RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks	2020	Jingkun Gao Xiaomin Song Qingsong Wen Pichao Wang Liang Sun Huan Xu	1
+ PDF Chat	Effective reinforcement learning through evolutionary surrogate-assisted prescription	2020	Olivier Francon Santiago González Babak Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu Hormoz Shahrzad	1
+	NVAE: A Deep Hierarchical Variational Autoencoder	2020	Arash Vahdat Jan Kautz	1
+	Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications	2018	Haowen Xu Yang Feng Jie Chen Zhaogang Wang Honglin Qiao Wenxiao Chen Nengwen Zhao Zeyan Li Jiahao Bu Zhihan Li	1
+ PDF Chat	Surrogate models for enhancing the efficiency of neuroevolution in reinforcement learning	2019	Jörg Stork Martin Zaefferer Thomas Bartz–Beielstein A. E. Eiben	1
+ PDF Chat	Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding	2018	Kyle Hundman Valentino Constantinou Christopher Laporte Ian Colwell Tom Söderström	1
+ PDF Chat	Recruitment-imitation mechanism for evolutionary reinforcement learning	2020	Shuai Lü Shuai D. Han Wenbo Zhou Junwei Zhang	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1