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2020 – today
- 2024
[j29]Xiaoxiao Liang
, Yikang Ouyang, Haoyu Yang, Bei Yu, Yuzhe Ma:
RL-OPC: Mask Optimization With Deep Reinforcement Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(1): 340-351 (2024)- [j28]Zhaoting Chen, Junzhe Cai, Changhao Yan, Zhaori Bi, Yuzhe Ma, Bei Yu, Wenchuang Walter Hu, Dian Zhou, Xuan Zeng:
pNeurFill: Enhanced Neural Network Model-Based Dummy Filling Synthesis With Perimeter Adjustment. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(2): 667-680 (2024) - [j27]Binwu Zhu, Su Zheng, Ziyang Yu, Guojin Chen, Yuzhe Ma, Fan Yang, Bei Yu, Martin D. F. Wong:
L2O-ILT: Learning to Optimize Inverse Lithography Techniques. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 944-955 (2024) - [j26]Wenqian Zhao, Xufeng Yao, Shuo Yin, Yang Bai, Ziyang Yu, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
AdaOPC 2.0: Enhanced Adaptive Mask Optimization Framework for via Layers. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(9): 2674-2686 (2024) - [j25]Yuzhe Ma, Xufeng Yao, Ran Chen, Ruiyu Li, Xiaoyong Shen, Bei Yu:
Small is Beautiful: Compressing Deep Neural Networks for Partial Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3575-3585 (2024) - [j24]Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration. ACM Trans. Design Autom. Electr. Syst. 29(1): 20:1-20:23 (2024) - [c55]Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning. AAAI 2024: 12-20 - [c54]Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang:
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. AAAI 2024: 11687-11694 - [c53]Chen Chen, Guangyu Hu, Dongsheng Zuo, Cunxi Yu, Yuzhe Ma, Hongce Zhang:
E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis. DAC 2024: 124:1-124:6 - [c52]Su Zheng, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
EMOGen: Enhancing Mask Optimization via Pattern Generation. DAC 2024: 148:1-148:6 - [c51]Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma:
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. DAC 2024: 153:1-153:6 - [c50]Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu:
A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. ICML 2024 - [c49]Shuo Yin, Wenqian Zhao, Li Xie, Hong Chen, Yuzhe Ma, Tsung-Yi Ho, Bei Yu:
FuILT: Full Chip ILT System With Boundary Healing. ISPD 2024: 13-20 - [i31]Chen Chen, Guangyu Hu, Dongsheng Zuo, Cunxi Yu, Yuzhe Ma, Hongce Zhang:
E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis. CoRR abs/2403.14242 (2024) - [i30]Dongsheng Zuo, Jiadong Zhu, Yikang Ouyang, Yuzhe Ma:
RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning. CoRR abs/2404.00639 (2024) - [i29]Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma:
CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. CoRR abs/2404.00980 (2024) - [i28]Dongsheng Zuo, Jiadong Zhu, Chenglin Li, Yuzhe Ma:
UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators. CoRR abs/2408.06935 (2024) - 2023
- [j23]Hao Geng, Tinghuan Chen, Yuzhe Ma, Binwu Zhu, Bei Yu:
PTPT: Physical Design Tool Parameter Tuning via Multi-Objective Bayesian Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(1): 178-189 (2023) - [j22]Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu:
A GPU-Enabled Level-Set Method for Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(2): 594-605 (2023) - [j21]Ziyang Yu, Peiyu Liao, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
CTM-SRAF: Continuous Transmission Mask-Based Constraint-Aware Subresolution Assist Feature Generation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(10): 3402-3411 (2023) - [j20]Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu:
DevelSet: Deep Neural Level Set for Instant Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(12): 5020-5033 (2023) - [c48]Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. DAC 2023: 1-6 - [c47]Zhuolun He, Yihang Zuo, Jiaxi Jiang, Haisheng Zheng, Yuzhe Ma, Bei Yu:
OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration. DAC 2023: 1-6 - [c46]Dongsheng Zuo, Yikang Ouyang, Yuzhe Ma:
RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning. DAC 2023: 1-6 - [c45]Wei Zhong, Zhenhua Feng, Zhuolun He, Weimin Wang, Yuzhe Ma, Bei Yu:
Efficient Design Rule Checking with GPU Acceleration. DATE 2023: 1-2 - [c44]Yuzhe Ma, Zhijin Zhou:
Adversarial Attacks on Adversarial Bandits. ICLR 2023 - [c43]Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie:
ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis. MICRO 2023: 268-282 - [c42]Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma:
ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning. MLCAD 2023: 1-6 - [i27]Yuzhe Ma, Zhijin Zhou:
Adversarial Attacks on Adversarial Bandits. CoRR abs/2301.12595 (2023) - [i26]Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. CoRR abs/2303.08435 (2023) - [i25]Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu:
DevelSet: Deep Neural Level Set for Instant Mask Optimization. CoRR abs/2303.12529 (2023) - [i24]Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns. CoRR abs/2303.12723 (2023) - [i23]Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang:
BadRL: Sparse Targeted Backdoor Attack Against Reinforcement Learning. CoRR abs/2312.12585 (2023) - 2022
- [j19]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(3): 709-722 (2022) - [j18]Hao Geng, Yuzhe Ma, Qi Xu, Jin Miao, Subhendu Roy, Bei Yu:
High-Speed Adder Design Space Exploration via Graph Neural Processes. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2657-2670 (2022) - [j17]Bentian Jiang, Lixin Liu, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
Neural-ILT 2.0: Migrating ILT to Domain-Specific and Multitask-Enabled Neural Network. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(8): 2671-2684 (2022) - [j16]Guojin Chen, Wanli Chen, Qi Sun, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full-Chip Scale. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(9): 3118-3131 (2022) - [j15]Xiaodong Wang, Changhao Yan, Yuzhe Ma, Bei Yu, Fan Yang, Dian Zhou, Xuan Zeng:
Analog Circuit Yield Optimization via Freeze-Thaw Bayesian Optimization Technique. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 4887-4900 (2022) - [j14]Wei Li, Yuzhe Ma, Yibo Lin, Bei Yu:
Adaptive Layout Decomposition With Graph Embedding Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 5030-5042 (2022) - [c41]Zhuolun He, Yuzhe Ma, Bei Yu:
X-Check: CPU-Accelerated Design Rule Checking via Parallel Sweepline Algorithms. ICCAD 2022: 52:1-52:9 - [c40]Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
AdaOPC: A Self-Adaptive Mask Optimization Framework for Real Design Patterns. ICCAD 2022: 123:1-123:9 - [c39]Yuzhe Ma, Young Wu, Xiaojin Zhu:
Game Redesign in No-regret Game Playing. IJCAI 2022: 3321-3327 - [i22]Wei Li, Ruxuan Li, Yuzhe Ma, Siu On Chan, David Z. Pan, Bei Yu:
Rethinking Graph Neural Networks for the Graph Coloring Problem. CoRR abs/2208.06975 (2022) - 2021
- [j13]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI mask optimization: From shallow to deep learning. Integr. 77: 96-103 (2021) - [j12]Wei Li, Yuzhe Ma, Qi Sun, Lu Zhang, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open-Source Layout Decomposer. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(11): 2331-2344 (2021) - [j11]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. ACM Trans. Design Autom. Electr. Syst. 26(5): 40:1-40:46 (2021) - [c38]Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu:
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. AAAI 2021: 8865-8873 - [c37]Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
The Sample Complexity of Teaching by Reinforcement on Q-Learning. AAAI 2021: 10939-10947 - [c36]Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu:
TreeNet: Deep Point Cloud Embedding for Routing Tree Construction. ASP-DAC 2021: 164-169 - [c35]Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Yibo Lin, Bei Yu:
Physical Synthesis for Advanced Neural Network Processors. ASP-DAC 2021: 833-840 - [c34]Yuzhe Ma, Tianmei Li, Xiaosheng Si, Changhua Hu, Shengfei Zhang, Hao Zhang:
Sneak circuit analysis considering component performance degradation under digital twin model. CAA SAFEPROCESS 2021: 1-6 - [c33]Shengfei Zhang, Tianmei Li, Xiaosheng Si, Changhua Hu, Hao Zhang, Yuzhe Ma:
A New Missing Data Generation Method Based on An Improved DCGAN With Application to RUL Prediction. CAA SAFEPROCESS 2021: 1-6 - [c32]Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu:
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CogSci 2021 - [c31]Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng:
NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis. DAC 2021: 187-192 - [c30]Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu:
A GPU-enabled Level Set Method for Mask Optimization. DATE 2021: 1835-1838 - [c29]Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong:
BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework. ICCAD 2021: 1-9 - [c28]Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu:
DevelSet: Deep Neural Level Set for Instant Mask Optimization. ICCAD 2021: 1-9 - [i21]Guyue Huang, Jingbo Hu, Yifan He, Jialong Liu, Mingyuan Ma, Zhaoyang Shen, Juejian Wu, Yuanfan Xu, Hengrui Zhang, Kai Zhong, Xuefei Ning, Yuzhe Ma, Haoyu Yang, Bei Yu, Huazhong Yang, Yu Wang:
Machine Learning for Electronic Design Automation: A Survey. CoRR abs/2102.03357 (2021) - [i20]Yuzhe Ma, Young Wu, Xiaojin Zhu:
Game Redesign in No-regret Game Playing. CoRR abs/2110.11763 (2021) - 2020
- [j10]Tianmei Li, Xiaosheng Si, Zonghao Yang, Hong Pei, Yuzhe Ma:
NHPP Testability Growth Model Considering Testability Growth Effort, Rectifying Delay, and Imperfect Correction. IEEE Access 8: 9072-9083 (2020) - [j9]Haoyu Yang, Shuhe Li, Zihao Deng, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: Mask Optimization With Lithography-Guided Generative Adversarial Nets. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2822-2834 (2020) - [j8]Hao Geng, Wei Zhong, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF Insertion via Supervised Dictionary Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(10): 2849-2859 (2020) - [j7]Yuzhe Ma, Wei Zhong, Shuxiang Hu, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu:
A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5069-5082 (2020) - [j6]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Adversarial Perturbation Attacks on ML-based CAD: A Case Study on CNN-based Lithographic Hotspot Detection. ACM Trans. Design Autom. Electr. Syst. 25(5): 48:1-48:31 (2020) - [c27]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. ASP-DAC 2020: 434-439 - [c26]Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu:
Adaptive Layout Decomposition with Graph Embedding Neural Networks. DAC 2020: 1-6 - [c25]Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu:
Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. DAC 2020: 1-6 - [c24]Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. ICCAD 2020: 19:1-19:9 - [c23]Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young:
Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization. ICCAD 2020: 20:1-20:9 - [c22]Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong:
Learn to Floorplan through Acquisition of Effective Local Search Heuristics. ICCD 2020: 324-331 - [c21]Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. ICML 2020: 11225-11234 - [c20]Yuzhe Ma, Zhuolun He, Wei Li, Lu Zhang, Bei Yu:
Understanding Graphs in EDA: From Shallow to Deep Learning. ISPD 2020: 119-126 - [c19]Xuezhou Zhang, Yuzhe Ma, Adish Singla:
Task-agnostic Exploration in Reinforcement Learning. NeurIPS 2020 - [i19]Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
Adaptive Reward-Poisoning Attacks against Reinforcement Learning. CoRR abs/2003.12613 (2020) - [i18]Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu:
The Teaching Dimension of Q-learning. CoRR abs/2006.09324 (2020) - [i17]Xuezhou Zhang, Yuzhe Ma, Adish Singla:
Task-agnostic Exploration in Reinforcement Learning. CoRR abs/2006.09497 (2020) - [i16]Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu:
DAMO: Deep Agile Mask Optimization for Full Chip Scale. CoRR abs/2008.00806 (2020) - [i15]Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Xiaojin Zhu:
Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. CoRR abs/2009.02476 (2020) - [i14]Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu:
Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. CoRR abs/2012.08704 (2020)
2010 – 2019
- 2019
- [j5]Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent advances in convolutional neural network acceleration. Neurocomputing 323: 37-51 (2019) - [j4]Haoyu Yang, Jing Su, Yi Zou, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
Layout Hotspot Detection With Feature Tensor Generation and Deep Biased Learning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1175-1187 (2019) - [j3]Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu:
Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(12): 2298-2311 (2019) - [c18]Wei Li, Yuzhe Ma, Qi Sun, Yibo Lin, Iris Hui-Ru Jiang, Bei Yu, David Z. Pan:
OpenMPL: An Open Source Layout Decomposer: Invited Paper. ASICON 2019: 1-4 - [c17]Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu:
SRAF insertion via supervised dictionary learning. ASP-DAC 2019: 406-411 - [c16]Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu:
High Performance Graph Convolutional Networks with Applications in Testability Analysis. DAC 2019: 18 - [c15]Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. ICTAI 2019: 376-383 - [c14]Yuzhe Ma, Xiaojin Zhu, Justin Hsu:
Data Poisoning against Differentially-Private Learners: Attacks and Defenses. IJCAI 2019: 4732-4738 - [c13]Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen:
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. IJCNN 2019: 1-8 - [c12]Yuzhe Ma, Xuezhou Zhang, Wen Sun, Jerry Zhu:
Policy Poisoning in Batch Reinforcement Learning and Control. NeurIPS 2019: 14543-14553 - [i13]Yuzhe Ma, Xiaojin Zhu, Justin Hsu:
Data Poisoning against Differentially-Private Learners: Attacks and Defenses. CoRR abs/1903.09860 (2019) - [i12]Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen:
Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. CoRR abs/1905.02796 (2019) - [i11]Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg:
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection. CoRR abs/1906.10773 (2019) - [i10]Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu:
Policy Poisoning in Batch Reinforcement Learning and Control. CoRR abs/1910.05821 (2019) - [i9]Yuzhe Ma, Ziyang Yu, Bei Yu:
CAD Tool Design Space Exploration via Bayesian Optimization. CoRR abs/1912.06460 (2019) - [i8]Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu:
VLSI Mask Optimization: From Shallow To Deep Learning. CoRR abs/1912.07254 (2019) - 2018
- [j2]Jin Miao, Meng Li, Subhendu Roy, Yuzhe Ma, Bei Yu:
SD-PUF: Spliced Digital Physical Unclonable Function. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(5): 927-940 (2018) - [j1]Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi:
Neighbourhood-preserving dimension reduction via localised multidimensional scaling. Theor. Comput. Sci. 734: 58-71 (2018) - [c11]Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu:
Teacher Improves Learning by Selecting a Training Subset. AISTATS 2018: 1366-1375 - [c10]Haoyu Yang, Shuhe Li, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young:
GAN-OPC: mask optimization with lithography-guided generative adversarial nets. DAC 2018: 131:1-131:6 - [c9]Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu:
Training Set Camouflage. GameSec 2018: 59-79 - [c8]Yuzhe Ma, Kwang-Sung Jun, Lihong Li, Xiaojin Zhu:
Data Poisoning Attacks in Contextual Bandits. GameSec 2018: 186-204 - [c7]Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Xiaojin (Jerry) Zhu:
Adversarial Attacks on Stochastic Bandits. NeurIPS 2018: 3644-3653 - [i7]Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu:
Teacher Improves Learning by Selecting a Training Subset. CoRR abs/1802.08946 (2018) - [i6]Yuzhe Ma, Subhendu Roy, Jin Miao, Jiamin Chen, Bei Yu:
Cross-layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. CoRR abs/1807.07023 (2018) - [i5]Qianru Zhang, Meng Zhang, Tinghuan Chen, Zhifei Sun, Yuzhe Ma, Bei Yu:
Recent Advances in Convolutional Neural Network Acceleration. CoRR abs/1807.08596 (2018) - [i4]Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu:
A Unified Approximation Framework for Deep Neural Networks. CoRR abs/1807.10119 (2018) - [i3]Yuzhe Ma, Kwang-Sung Jun, Lihong Li, Xiaojin Zhu:
Data Poisoning Attacks in Contextual Bandits. CoRR abs/1808.05760 (2018) - [i2]Kwang-Sung Jun, Lihong Li, Yuzhe Ma, Xiaojin Zhu:
Adversarial Attacks on Stochastic Bandits. CoRR abs/1810.12188 (2018) - [i1]Ayon Sen, Scott Alfeld, Xuezhou Zhang, Ara Vartanian, Yuzhe Ma, Xiaojin Zhu:
Training Set Camouflage. CoRR abs/1812.05725 (2018) - 2017
- [c6]Yuzhe Ma, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu:
A unified framework for simultaneous layout decomposition and mask optimization. ICCAD 2017: 81-88 - [c5]Chak-Wa Pui, Gengjie Chen, Yuzhe Ma, Evangeline F. Y. Young, Bei Yu:
Clock-aware ultrascale FPGA placement with machine learning routability prediction: (Invited paper). ICCAD 2017: 929-936 - [c4]Subhendu Roy, Yuzhe Ma, Jin Miao, Bei Yu:
A learning bridge from architectural synthesis to physical design for exploring power efficient high-performance adders. ISLPED 2017: 1-6 - [c3]Yuzhe Ma, Xuan Zeng, Bei Yu:
Methodologies for layout decomposition and mask optimization: A systematic review. VLSI-SoC 2017: 1-6 - 2016
- [c2]Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi:
Nonlinear Dimension Reduction by Local Multidimensional Scaling. FAW 2016: 158-171 - 2015
- [c1]Yi Xiong, Yiting Zhu, Zhiyong Pang, Yuzhe Ma, Dihu Chen, Xinying Wang:
Bleeding detection in wireless capsule endoscopy based on MST clustering and SVM. SiPS 2015: 1-4
Coauthor Index
[j29] [j28] [j27] [j26] [j25] [j24] [c55] [c52] [c51] [c49] [i29] [j23] [j22] [j21] [j20] [c48] [c47] [c45] [c43] [i26] [i25] [i24] [j19] [j18] [j17] [j16] [j15] [j14] [c41] [c40] [i22] [j13] [j12] [j11] [c36] [c35] [c31] [c30] [c29] [c28] [i21] [j9] [j8] [j7] [j6] [c27] [c26] [c25] [c24] [c23] [c22] [c20] [i16] [j5] [j4] [j3] [c18] [c17] [c16] [c15] [i11] [i9] [i8] [j2] [c10] [i6] [i5] [i4] [c6] [c5] [c4] [c3]
Xiaojin Zhu 0001
aka: Xiaojin (Jerry) Zhu
aka: Xiaojin (Jerry) Zhu
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-12-02 21:27 CET by the dblp team
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