Yuzhe Ma

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All published works

Action	Title	Year	Authors
+ PDF Chat	RL-MUL 2.0: Multiplier Design Optimization with Parallel Deep Reinforcement Learning and Space Reduction	2025	Dongsheng Zuo Jiadong Zhu Yikang Ouyang Yuzhe Ma
+ PDF Chat	UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators	2024	Dongsheng Zuo Jiadong Zhu Chenglin Li Yuzhe Ma
+ PDF Chat	CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning	2024	Xiaoxiao Liang Haoyu Yang Kang Liu Bei Yu Yuzhe Ma
+ PDF Chat	RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning	2024	Dongsheng Zuo Jiadong Zhu Yikang Ouyang Yuzhe Ma
+ PDF Chat	BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning	2024	Jing Cui Yufei Han Yuzhe Ma Jianbin Jiao Junge Zhang
+ PDF Chat	Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields	2023	Guojin Chen Zehua Pei Haoyu Yang Yuzhe Ma Bei Yu Martin C. S. Wong
+ PDF Chat	RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning	2023	Dongsheng Zuo Yikang Ouyang Yuzhe Ma
+ PDF Chat	DevelSet: Deep Neural Level Set for Instant Mask Optimization	2023	Guojin Chen Ziyang Yu Hongduo Liu Yuzhe Ma Bei Yu
+	Adversarial Attacks on Adversarial Bandits	2023	Yuzhe Ma Zhijin Zhou
+	Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields	2023	Guojin Chen Zehua Pei Haoyu Yang Yuzhe Ma Bei Yu Martin D. F. Wong
+	DevelSet: Deep Neural Level Set for Instant Mask Optimization	2023	Guojin Chen Ziyang Yu Hongduo Liu Yuzhe Ma Bei Yu
+	AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns	2023	Wenqian Zhao Xufeng Yao Ziyang Yu Guojin Chen Yuzhe Ma Bei Yu Martin D. F. Wong
+	BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning	2023	Jing Cui Yufei Han Yuzhe Ma Jianbin Jiao Junge Zhang
+ PDF Chat	Game Redesign in No-regret Game Playing	2022	Yuzhe Ma Young Wu Xiaojin Zhu
+	Rethinking Graph Neural Networks for the Graph Coloring Problem	2022	Wei Li Ruxuan Li Yuzhe Ma Siu On Chan David Z. Pan Bei Yu
+	Possible origin of extremely large magnetoresistance in the topological insulator CaBi2 single crystal	2022	Yuzhe Ma Yulong Wang Gang Wang
+	Observation of superconductivity in the noncentrosymmetric nodal chain semimetal Ba5In4Bi5	2022	Yuzhe Ma Yulong Wang Yuxin Wang Soham Manni Qisheng Lin Linlin Wang Kun Jiang Sergey L. Bud’ko P. C. Canfield Gang Wang
+ PDF Chat	DevelSet: Deep Neural Level Set for Instant Mask Optimization	2021	Guojin Chen Ziyang Yu Hongduo Liu Yuzhe Ma Bei Yu
+ PDF Chat	DAMO: Deep Agile Mask Optimization for Full-Chip Scale	2021	Guojin Chen Wanli Chen Qi Sun Yuzhe Ma Haoyu Yang Bei Yu
+ PDF Chat	Machine Learning for Electronic Design Automation: A Survey	2021	Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma Zhaoyang Shen Juejian Wu Yuanfan Xu Hengrui Zhang Kai Zhong
+ PDF Chat	Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems	2021	Yuzhe Ma Jon Sharp Ruizhe Wang Earlence Fernandes Xiaojin Zhu
+ PDF Chat	The Sample Complexity of Teaching by Reinforcement on Q-Learning	2021	Xuezhou Zhang Shubham Bharti Yuzhe Ma Adish Singla Xiaojin Zhu
+	Machine Learning for Electronic Design Automation: A Survey	2021	Guyue Huang Jingbo Hu Yifan He Jialong Liu Mingyuan Ma Zhaoyang Shen Juejian Wu Yuanfan Xu Hengrui Zhang Kai Zhong
+	Game Redesign in No-regret Game Playing	2021	Yuzhe Ma Young Wu Xiaojin Zhu
+	OpenMPL: An Open-Source Layout Decomposer	2020	Wei Li Yuzhe Ma Qi Sun Lu Zhang Yibo Lin Iris Hui-Ru Jiang Bei Yu David Z. Pan
+ PDF Chat	VLSI mask optimization: From shallow to deep learning	2020	Haoyu Yang Wei Zhong Yuzhe Ma Hao Geng Ran Chen Wanli Chen Bei Yu
+ PDF Chat	DAMO	2020	Guojin Chen Wanli Chen Yuzhe Ma Haoyu Yang Bei Yu
+ PDF Chat	Adversarial Perturbation Attacks on ML-based CAD	2020	Kang Liu Haoyu Yang Yuzhe Ma Benjamin Tan Bei Yu Evangeline F. Y. Young Ramesh Karri Siddharth Garg
+	The Teaching Dimension of Q-learning	2020	Xuezhou Zhang Shubham Bharti Yuzhe Ma Adish Singla Xiaojin Zhu
+	Adaptive Reward-Poisoning Attacks against Reinforcement Learning	2020	Xuezhou Zhang Yuzhe Ma Adish Singla Xiaojin Zhu
+ PDF Chat	VLSI Mask Optimization: From Shallow To Deep Learning	2020	Haoyu Yang Wei Zhong Yuzhe Ma Hao Geng Ran Chen Wanli Chen Bei Yu
+	Adaptive Reward-Poisoning Attacks against Reinforcement Learning	2020	Xuezhou Zhang Yuzhe Ma Adish Singla Junwei Zhu
+	Task-agnostic Exploration in Reinforcement Learning	2020	Xuezhou Zhang Yuzhe Ma Adish Singla
+	Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners	2020	Yun-Shiuan Chuang Xuezhou Zhang Yuzhe Ma Mark K. Ho Joseph L. Austerweil Xiaojin Zhu
+	Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems	2020	Yuzhe Ma Jon Sharp Ruizhe Wang Earlence Fernandes Xiaojin Zhu
+	The Sample Complexity of Teaching-by-Reinforcement on Q-Learning	2020	Xuezhou Zhang Shubham Bharti Yuzhe Ma Adish Singla Xiaojin Zhu
+	Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners	2020	Yun-Shiuan Chuang Xuezhou Zhang Yuzhe Ma Mark K. Ho Joseph L. Austerweil Junwei Zhu
+ PDF Chat	A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks	2019	Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu
+ PDF Chat	CAD Tool Design Space Exploration via Bayesian Optimization	2019	Yuzhe Ma Ziyang Yu Bei Yu
+	Data Poisoning against Differentially-Private Learners: Attacks and Defenses	2019	Yuzhe Ma Xiaojin Zhu Justin Hsu
+ PDF Chat	Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization	2019	Yufei Han Yuzhe Ma Christopher Gates Kevin Roundy Yun Shen
+ PDF Chat	Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection.	2019	Kang Liu Haoyu Yang Yuzhe Ma Benjamin Tan Bei Yu Evangeline F. Y. Young Ramesh Karri Siddharth Garg
+	Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization	2019	Yufei Han Yuzhe Ma Christopher Gates Kevin Roundy Yun Shen
+	Data Poisoning against Differentially-Private Learners: Attacks and Defenses	2019	Yuzhe Ma Xiaojin Zhu Justin Hsu
+	Policy poisoning in batch reinforcement learning and control	2019	Yuzhe Ma Xuezhou Zhang Wen Sun Junwei Zhu
+	Policy Poisoning in Batch Reinforcement Learning and Control	2019	Yuzhe Ma Xuezhou Zhang Wen Sun Xiaojin Zhu
+	VLSI Mask Optimization: From Shallow To Deep Learning	2019	Haoyu Yang Wei Zhong Yuzhe Ma Hao Geng Ran Chen Wanli Chen Bei Yu
+	CAD Tool Design Space Exploration via Bayesian Optimization	2019	Yuzhe Ma Ziyang Yu Bei Yu
+	Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization	2019	Yufei Han Yuzhe Ma Christopher Gates Kevin Roundy Yun Shen
+ PDF Chat	Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach	2018	Yuzhe Ma Subhendu Roy Jin Miao Jiamin Chen Bei Yu
+ PDF Chat	Recent advances in convolutional neural network acceleration	2018	Qianru Zhang Meng Zhang Tinghuan Chen Zhifei Sun Yuzhe Ma Bei Yu
+	A Unified Approximation Framework for Deep Neural Networks.	2018	Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu
+	A Unified Approximation Framework for Non-Linear Deep Neural Networks	2018	Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu
+	Teacher Improves Learning by Selecting a Training Subset	2018	Yuzhe Ma Robert Nowak Philippe Rigollet Xuezhou Zhang Xiaojin Zhu
+	Teacher Improves Learning by Selecting a Training Subset	2018	Yuzhe Ma Robert D. Nowak Philippe Rigollet Xuezhou Zhang Xiaojin Zhu
+	Data Poisoning Attacks in Contextual Bandits	2018	Yuzhe Ma Kwang-Sung Jun Lihong Li Xiaojin Zhu
+	OpenMPL: An Open Source Layout Decomposer	2018	Wei Li Yuzhe Ma Qi Sun Yibo Lin Iris Hui-Ru Jiang Bei Yu David Z. Pan
+	Recent Advances in Convolutional Neural Network Acceleration	2018	Qianru Zhang Meng Zhang Tinghuan Chen Zhifei Sun Yuzhe Ma Bei Yu
+	Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach	2018	Yuzhe Ma Subhendu Roy Jin Miao Jiamin Chen Bei Yu
+	Adversarial Attacks on Stochastic Bandits	2018	Kwang-Sung Jun Lihong Li Yuzhe Ma Xiaojin Zhu
+	Training Set Camouflage	2018	Ayon Sen Scott Alfeld Xuezhou Zhang Ara Vartanian Yuzhe Ma Xiaojin Zhu
+ PDF Chat	Data Poisoning Attacks in Contextual Bandits	2018	Yuzhe Ma Kwang-Sung Jun Lihong Li Xiaojin Zhu
+	A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks	2018	Yuzhe Ma Ran Chen Wei Li Fanhua Shang Wenjian Yu Minsik Cho Bei Yu

Common Coauthors

Coauthor	Papers Together
Bei Yu	29
Xiaojin Zhu	17
Xuezhou Zhang	13
Haoyu Yang	11
Adish Singla	6
Wanli Chen	5
Guojin Chen	5
Wenjian Yu	4
Fanhua Shang	4
Ziyang Yu	4
Minsik Cho	4
Ran Chen	4
Kwang-Sung Jun	3
Wei Li	3
Hongduo Liu	3
Yikang Ouyang	3
Qi Sun	3
Junwei Zhu	3
Shubham Bharti	3
Guojin Chen	3
David Z. Pan	3
Dongsheng Zuo	3
Wei Zhong	3
Kevin Roundy	3
Ran Chen	3
Hao Geng	3
Christopher Gates	3
Tinghuan Chen	2
Xuefei Ning	2
Jiadong Zhu	2
Yibo Lin	2
Joseph L. Austerweil	2
Yuanfan Xu	2
Benjamin Tan	2
Yun-Shiuan Chuang	2
Mark K. Ho	2
Wei Li	2
Wen Sun	2
Jialong Liu	2
Young Wu	2
Earlence Fernandes	2
Ramesh Karri	2
Iris Hui-Ru Jiang	2
Zhifei Sun	2
Justin Hsu	2
Siddharth Garg	2
Jon Sharp	2
Ziyang Yu	2
Evangeline F. Y. Young	2
Philippe Rigollet	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Data Poisoning Attacks in Contextual Bandits	2018	Yuzhe Ma Kwang-Sung Jun Lihong Li Xiaojin Zhu	7
+	Online Data Poisoning Attack	2019	Xuezhou Zhang Xiaojin Zhu Laurent Lessard	6
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach	2018	Yuzhe Ma Subhendu Roy Jin Miao Jiamin Chen Bei Yu	5
+ PDF Chat	VLSI Mask Optimization: From Shallow To Deep Learning	2020	Haoyu Yang Wei Zhong Yuzhe Ma Hao Geng Ran Chen Wanli Chen Bei Yu	5
+	Policy Poisoning in Batch Reinforcement Learning and Control	2019	Yuzhe Ma Xuezhou Zhang Wen Sun Xiaojin Zhu	5
+ PDF Chat	Layout Decomposition for Triple Patterning Lithography	2015	Bei Yu Kun Yuan Duo Ding David Z. Pan	5
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	4
+ PDF Chat	Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications	2019	Daniel S. Brown Scott Niekum	4
+	An Overview of Machine Teaching	2018	Xiaojin Zhu Adish Singla Sandra Zilles Anna N. Rafferty	4
+	Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications	2015	Yong‐Deok Kim Eunhyeok Park Sungjoo Yoo Tae‐Lim Choi Yang Lu Dongjun Shin	4
+	Adaptive Reward-Poisoning Attacks against Reinforcement Learning	2020	Xuezhou Zhang Yuzhe Ma Adish Singla Junwei Zhu	4
+	Adversarial Attacks on Stochastic Bandits	2018	Kwang-Sung Jun Lihong Li Yuzhe Ma Xiaojin Zhu	4
+ PDF Chat	UNet++: A Nested U-Net Architecture for Medical Image Segmentation	2018	Zongwei Zhou Md Mahfuzur Rahman Siddiquee Nima Tajbakhsh Jianming Liang	4
+	Data Poisoning Attacks against Online Learning	2018	Yizhen Wang Kamalika Chaudhuri	4
+	Iterative Machine Teaching	2017	Weiyang Liu Bo Dai Ahmad Humayun Charlene Tay Yu Chen Linda B. Smith James M. Rehg Le Song	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	Is Q-learning Provably Efficient?	2018	Chi Jin Zeyuan Allen-Zhu Sébastien Bubeck Michael I. Jordan	4
+	Interactive Teaching Algorithms for Inverse Reinforcement Learning	2019	Parameswaran Kamalaruban Rati Devidze Volkan Cevher Adish Singla	4
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	3
+ PDF Chat	Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design	2009	Niranjan Srinivas Andreas Krause Sham M. Kakade Matthias Seeger	3
+ PDF Chat	A contextual-bandit approach to personalized news article recommendation	2010	Lihong Li Wei Chu John Langford Robert E. Schapire	3
+	Adaptive Reward-Poisoning Attacks against Reinforcement Learning	2020	Xuezhou Zhang Yuzhe Ma Adish Singla Xiaojin Zhu	3
+	Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning	2020	Amin Rakhsha Goran Radanović Rati Devidze Junwei Zhu Adish Singla	3
+	Policy poisoning in batch reinforcement learning and control	2019	Yuzhe Ma Xuezhou Zhang Wen Sun Junwei Zhu	3
+	Network In Network	2013	Min Lin Qiang Chen Shuicheng Yan	3
+	Teaching Multiple Concepts to a Forgetful Learner	2018	Anette Hunziker Yuxin Chen Oisin Mac Aodha Manuel Gomez-Rodriguez Andreas Krause Pietro Perona Yisong Yue Adish Singla	3
+ PDF Chat	DAMO	2020	Guojin Chen Wanli Chen Yuzhe Ma Haoyu Yang Bei Yu	3
+	The teaching dimension of linear learners	2016	Ji Liu Xiaojin Zhu	3
+	Convolutional neural networks with low-rank regularization	2016	Cheng Tai Tong Xiao Yi Zhang Xiaogang Wang E Weinan	3
+	Action Centered Contextual Bandits	2017	Kristjan Greenewald Ambuj Tewari Susan A. Murphy Predrag Klasnja	3
+	Empirical Evaluation of Rectified Activations in Convolutional Network	2015	Bing Xu Naiyan Wang Tianqi Chen Mu Li	3
+	Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation	2014	Emily Denton Wojciech Zaremba Joan Bruna Yann LeCun Rob Fergus	3
+ PDF Chat	Developing synthesis flows without human knowledge	2018	Cunxi Yu Houping Xiao Giovanni De Micheli	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	Poisoning Attacks against Support Vector Machines	2012	Battista Biggio Blaine Nelson Pavel Laskov	3
+	Stronger Data Poisoning Attacks Break Data Sanitization Defenses	2018	Pang Wei Koh Jacob Steinhardt Percy Liang	3
+	Adversarial Attacks on Neural Network Policies	2017	Sandy H. Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel	3
+	Predicting Parameters in Deep Learning	2013	Misha Denil Babak Shakibi Laurent Dinh Marc’Aurelio Ranzato Nando de Freitas	3
+	Making Contextual Decisions with Low Technical Debt	2016	Alekh Agarwal Sarah Bird Markus Cozowicz Luong Hoang John Langford Stephen Lee Jiaji Li Dan Melamed Gal Oshri Oswaldo Ribas	3
+	Algorithms for multi-armed bandit problems	2014	Volodymyr Kuleshov Doina Precup	3
+	Is feature selection secure against training data poisoning?	2018	Xiao Huang Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli	3
+ PDF Chat	Robust Recovery of Subspace Structures by Low-Rank Representation	2012	Guangcan Liu Zhouchen Lin Shuicheng Yan Ju Sun Yong Yu Yi Ma	2
+	Speeding up Convolutional Neural Networks with Low Rank Expansions	2014	Max Jaderberg Andrea Vedaldi Andrew Zisserman	2
+	Deep Learning with Limited Numerical Precision	2015	Suyog Gupta Ankur Agrawal Kailash Gopalakrishnan Pritish Narayanan	2
+ PDF Chat	Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations	1988	Stanley Osher James A. Sethian	2
+ PDF Chat	Training and operation of an integrated neuromorphic network based on metal-oxide memristors	2015	M. Prezioso Farshad Merrikh‐Bayat Brian D. Hoskins Gina C. Adam Konstantin K. Likharev Dmitri B. Strukov	2
+ PDF Chat	Optimal Attack Strategies Subject to Detection Constraints Against Cyber-Physical Systems	2017	Yuan Chen Soummya Kar José M. F. Moura	2
+ PDF Chat	Xception: Deep Learning with Depthwise Separable Convolutions	2017	François Chollet	2
+	An extension of Karmarkar's projective algorithm for convex quadratic programming	1989	Yinyu Ye Edison Tse	2