| 2026 | ASPDAC | BEAM: Bidirectional MEEF-Driven Mask Optimization for Curvilinear Photonic Design. | Xiaoxiao Liang, Yang Luo, Bei Yu, Yuzhe Ma |
| 2026 | ASPDAC | CombRewriter: Enabling Combinational Logic Simplification in MLIR-Based Hardware Compiler. | Haisheng Zheng, Zhuolun He, Shuo Yin, Yuzhe Ma, Bei Yu |
| 2026 | DATE | SuperPhys-Net: A Physics-Informed Super-Resolution Electromagnetic Simulator for Nanophotonic Devices. | Yiyang Su, Hao Chen, Guohao Dai, Yuzhe Ma, Yeyu Tong |
| 2025 | ASPDAC | SMART-GPO: Gate-Level Sensitivity Measurement with Accurate Estimation for Glitch Power Optimization. | Yikang Ouyang, Yuchao Wu, Dongsheng Zuo, Subhendu Roy, Tinghuan Chen, Zhiyao Xie, Yuzhe Ma |
| 2025 | ASPDAC | A Holistic FPGA Architecture Exploration Framework for Deep Learning Acceleration. | Jiadong Zhu, Dongsheng Zuo, Yuzhe Ma |
| 2025 | DAC | E-morphic: Scalable Equality Saturation for Structural Exploration in Logic Synthesis. | Chen Chen, Guangyu Hu, Cunxi Yu, Yuzhe Ma, Hongce Zhang |
| 2025 | DAC | Efficient Continuous Logic Optimization with Diffusion Model. | Yikang Ouyang, Xiaofei Yu, Jiadong Zhu, Tinghuan Chen, Yuzhe Ma |
| 2025 | DAC | Curvilinear Optical Proximity Correction via Cardinal Spline. | Su Zheng, Xiaoxiao Liang, Ziyang Yu, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2025 | DATE | Bi-Level Optimization Accelerated DRC-Aware Physical Design Automation for Photonic Devices. | Hao Chen, Yuzhe Ma, Yeyu Tong |
| 2025 | DATE | OpenC | Tianchu Dong, Shaoxuan Li, Yihang Zuo, Hongwu Jiang, Yuzhe Ma, Shanshi Huang |
| 2025 | DATE | Location is All You Need: Efficient Lithographic Hotspot Detection Using Only Polygon Locations. | Yujia Wang, Jiaxing Wang, Dan Feng, Yuzhe Ma, Kang Liu |
| 2025 | DATE | Automatic Routing for Photonic Integrated Circuits Under Delay Matching Constraints. | Yuchao Wu, Weilong Guan, Yeyu Tong, Yuzhe Ma |
| 2025 | DATE | PICBench: Benchmarking LLMs for Photonic Integrated Circuits Design. | Yuchao Wu, Xiaofei Yu, Hao Chen, Yang Luo, Yeyu Tong, Yuzhe Ma |
| 2025 | DATE | iRw: An Intelligent Rewriting. | Haisheng Zheng, Haoyuan Wu, Zhuolun He, Yuzhe Ma, Bei Yu |
| 2025 | ICCAD | ThermoPhoton: Fast 3D Thermal Simulation of Photonic Integrated Circuits via Operator Learning. | Weilong Guan, Li Huang, Yuxuan Lin, Yuchao Wu, Yeyu Tong, Yuzhe Ma |
| 2025 | ICCAD | Constraints-aware Adaptive Routing with Hybrid Waveguides for Photonic Integrated Circuits. | Yuchao Wu, Xiaofei Yu, Xianyi Feng, Yeyu Tong, Yuzhe Ma |
| 2025 | ICCAD | G-Contour: GPU Accelerated Contour Tracing For Large-Scale Layouts. | Shuo Yin, Jiahao Xu, Jiaxi Jiang, Mingjun Li, Yuzhe Ma, Tsung-Yi Ho, Bei Yu |
| 2025 | ICLR | Computing Circuits Optimization via Model-Based Circuit Genetic Evolution. | Zhihai Wang, Jie Wang, Xilin Xia, Dongsheng Zuo, Lei Chen, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Feng Wu |
| 2025 | ISLPED | Optimizing Heterogeneous Compute-in-Memory with Hybrid Dataflow and In-Network Reduction for Vision Transformer. | Zexin Fu, Yihang Zuo, Yuzhe Ma, Jiayi Huang |
| 2024 | AAAI | Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning. | Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2024 | AAAI | BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning. | Jing Cui, Yufei Han, Yuzhe Ma, Jianbin Jiao, Junge Zhang |
| 2024 | DAC | E-Syn: E-Graph Rewriting with Technology-Aware Cost Functions for Logic Synthesis. | Chen Chen, Guangyu Hu, Dongsheng Zuo, Cunxi Yu, Yuzhe Ma, Hongce Zhang |
| 2024 | DAC | CAMO: Correlation-Aware Mask Optimization with Modulated Reinforcement Learning. | Xiaoxiao Liang, Haoyu Yang, Kang Liu, Bei Yu, Yuzhe Ma |
| 2024 | DAC | EMOGen: Enhancing Mask Optimization via Pattern Generation. | Su Zheng, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2024 | ICCAD | Enabling Robust Inverse Lithography with Rigorous Multi-Objective Optimization. | Yang Luo, Xiaoxiao Liang, Yuzhe Ma |
| 2024 | ICCAD | UFO-MAC: A Unified Framework for Optimization of High-Performance Multipliers and Multiply-Accumulators. | Dongsheng Zuo, Jiadong Zhu, Chenglin Li, Yuzhe Ma |
| 2024 | ICML | A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design. | Zhihai Wang, Jie Wang, Dongsheng Zuo, Yunjie Ji, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu |
| 2023 | DAC | Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields. | Guojin Chen, Zehua Pei, Haoyu Yang, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2023 | DAC | OpenDRC: An Efficient Open-Source Design Rule Checking Engine with Hierarchical GPU Acceleration. | Zhuolun He, Yihang Zuo, Jiaxi Jiang, Haisheng Zheng, Yuzhe Ma, Bei Yu |
| 2023 | DAC | RL-MUL: Multiplier Design Optimization with Deep Reinforcement Learning. | Dongsheng Zuo, Yikang Ouyang, Yuzhe Ma |
| 2023 | DATE | Efficient Design Rule Checking with GPU Acceleration. | Wei Zhong, Zhenhua Feng, Zhuolun He, Weimin Wang, Yuzhe Ma, Bei Yu |
| 2023 | ICLR | Adversarial Attacks on Adversarial Bandits. | Yuzhe Ma, Zhijin Zhou |
| 2023 | MICRO | ArchExplorer: Microarchitecture Exploration Via Bottleneck Analysis. | Chen Bai, Jiayi Huang, Xuechao Wei, Yuzhe Ma, Sicheng Li, Hongzhong Zheng, Bei Yu, Yuan Xie |
| 2022 | ICCAD | X-Check: CPU-Accelerated Design Rule Checking via Parallel Sweepline Algorithms. | Zhuolun He, Yuzhe Ma, Bei Yu |
| 2022 | ICCAD | AdaOPC: A Self-Adaptive Mask Optimization Framework for Real Design Patterns. | Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2022 | IJCAI | Game Redesign in No-regret Game Playing. | Yuzhe Ma, Young Wu, Xiaojin Zhu |
| 2021 | AAAI | Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems. | Yuzhe Ma, Jon A. Sharp, Ruizhe Wang, Earlence Fernandes, Xiaojin Zhu |
| 2021 | AAAI | The Sample Complexity of Teaching by Reinforcement on Q-Learning. | Xuezhou Zhang, Shubham Kumar Bharti, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2021 | ASPDAC | Physical Synthesis for Advanced Neural Network Processors. | Zhuolun He, Peiyu Liao, Siting Liu, Yuzhe Ma, Yibo Lin, Bei Yu |
| 2021 | ASPDAC | TreeNet: Deep Point Cloud Embedding for Routing Tree Construction. | Wei Li, Yuxiao Qu, Gengjie Chen, Yuzhe Ma, Bei Yu |
| 2021 | CogSci | Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners. | Yun-Shiuan Chuang, Xuezhou Zhang, Yuzhe Ma, Mark K. Ho, Joseph L. Austerweil, Jerry Zhu |
| 2021 | DAC | NeurFill: Migrating Full-Chip CMP Simulators to Neural Networks for Model-Based Dummy Filling Synthesis. | Junzhe Cai, Changhao Yan, Yuzhe Ma, Bei Yu, Dian Zhou, Xuan Zeng |
| 2021 | DATE | A GPU-enabled Level Set Method for Mask Optimization. | Ziyang Yu, Guojin Chen, Yuzhe Ma, Bei Yu |
| 2021 | ICCAD | BOOM-Explorer: RISC-V BOOM Microarchitecture Design Space Exploration Framework. | Chen Bai, Qi Sun, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong |
| 2021 | ICCAD | DevelSet: Deep Neural Level Set for Instant Mask Optimization. | Guojin Chen, Ziyang Yu, Hongduo Liu, Yuzhe Ma, Bei Yu |
| 2020 | ASPDAC | VLSI Mask Optimization: From Shallow To Deep Learning. | Haoyu Yang, Wei Zhong, Yuzhe Ma, Hao Geng, Ran Chen, Wanli Chen, Bei Yu |
| 2020 | DAC | Adaptive Layout Decomposition with Graph Embedding Neural Networks. | Wei Li, Jialu Xia, Yuzhe Ma, Jialu Li, Yibo Lin, Bei Yu |
| 2020 | DAC | Deep Learning-Driven Simultaneous Layout Decomposition and Mask Optimization. | Wei Zhong, Shuxiang Hu, Yuzhe Ma, Haoyu Yang, Xiuyuan Ma, Bei Yu |
| 2020 | ICCAD | DAMO: Deep Agile Mask Optimization for Full Chip Scale. | Guojin Chen, Wanli Chen, Yuzhe Ma, Haoyu Yang, Bei Yu |
| 2020 | ICCAD | Neural-ILT: Migrating ILT to Neural Networks for Mask Printability and Complexity Co-optimization. | Bentian Jiang, Lixin Liu, Yuzhe Ma, Hang Zhang, Bei Yu, Evangeline F. Y. Young |
| 2020 | ICCD | Learn to Floorplan through Acquisition of Effective Local Search Heuristics. | Zhuolun He, Yuzhe Ma, Lu Zhang, Peiyu Liao, Ngai Wong, Bei Yu, Martin D. F. Wong |
| 2020 | ICML | Adaptive Reward-Poisoning Attacks against Reinforcement Learning. | Xuezhou Zhang, Yuzhe Ma, Adish Singla, Xiaojin Zhu |
| 2019 | ASPDAC | SRAF insertion via supervised dictionary learning. | Hao Geng, Haoyu Yang, Yuzhe Ma, Joydeep Mitra, Bei Yu |
| 2019 | DAC | High Performance Graph Convolutional Networks with Applications in Testability Analysis. | Yuzhe Ma, Haoxing Ren, Brucek Khailany, Harbinder Sikka, Lijuan Luo, Karthikeyan Natarajan, Bei Yu |
| 2019 | IJCAI | Data Poisoning against Differentially-Private Learners: Attacks and Defenses. | Yuzhe Ma, Xiaojin Zhu, Justin Hsu |
| 2019 | IJCNN | Collaborative and Privacy-Preserving Machine Teaching via Consensus Optimization. | Yufei Han, Yuzhe Ma, Christopher Gates, Kevin A. Roundy, Yun Shen |
| 2019 | ICTAI | A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks. | Yuzhe Ma, Ran Chen, Wei Li, Fanhua Shang, Wenjian Yu, Minsik Cho, Bei Yu |
| 2018 | AISTATS | Teacher Improves Learning by Selecting a Training Subset. | Yuzhe Ma, Robert Nowak, Philippe Rigollet, Xuezhou Zhang, Xiaojin Zhu |
| 2018 | DAC | GAN-OPC: mask optimization with lithography-guided generative adversarial nets. | Haoyu Yang, Shuhe Li, Yuzhe Ma, Bei Yu, Evangeline F. Y. Young |
| 2017 | ICCAD | A unified framework for simultaneous layout decomposition and mask optimization. | Yuzhe Ma, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu |
| 2017 | ICCAD | Clock-aware ultrascale FPGA placement with machine learning routability prediction: (Invited paper). | Chak-Wa Pui, Gengjie Chen, Yuzhe Ma, Evangeline F. Y. Young, Bei Yu |
| 2017 | ISLPED | A learning bridge from architectural synthesis to physical design for exploring power efficient high-performance adders. | Subhendu Roy, Yuzhe Ma, Jin Miao, Bei Yu |
| 2016 | FAW | Nonlinear Dimension Reduction by Local Multidimensional Scaling. | Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi |