| 2026 | AAAI | PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection Under Challenging Conditions. | Luoping Cui, Hanqing Liu, Mingjie Liu, Endian Lin, Donghong Jiang, Yuhao Wang, Chuang Zhu |
| 2025 | DATE | FVEval: Understanding Language Model Capabilities in Formal Verification of Digital Hardware. | Minwoo Kang, Mingjie Liu, Ghaith Bany Hamad, Syed M. Suhaib, Haoxing Ren |
| 2025 | ICCAD | LLM4Verilog: Building Large-Scale, High-Quality Data Infrastructure for Verilog Code Generation via Community Efforts. | Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Rongjian Liang, Haoyu Yang, Haoxing Ren, Yingyan Celine Lin |
| 2025 | ICLR | CraftRTL: High-quality Synthetic Data Generation for Verilog Code Models with Correct-by-Construction Non-Textual Representations and Targeted Code Repair. | Mingjie Liu, Yun-Da Tsai, Wenfei Zhou, Haoxing Ren |
| 2025 | ICML | Open Materials Generation with Stochastic Interpolants. | Philipp Hllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian E. Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani |
| 2025 | ICML | Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity. | Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro |
| 2024 | DAC | RTLFixer: Automatically Fixing RTL Syntax Errors with Large Language Model. | Yunda Tsai, Mingjie Liu, Haoxing Ren |
| 2024 | EMNLP | LLM-Evolve: Evaluation for LLM's Evolving Capability on Benchmarks. | Jiaxuan You, Mingjie Liu, Shrimai Prabhumoye, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro |
| 2024 | ICCAD | Invited Paper: LLM4HWDesign Contest: Constructing a Comprehensive Dataset for LLM-Assisted Hardware Code Generation with Community Efforts. | Zhongzhi Yu, Chaojian Li, Yongan Zhang, Mingjie Liu, Nathaniel Ross Pinckney, Wenfei Zhou, Haoyu Yang, Rongjian Liang, Haoxing Ren, Yingyan Celine Lin |
| 2024 | ICTAI | Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation. | Wentao Wang, Xi Xiao, Mingjie Liu, Qizhen Lan, Xuanyao Huang, Qing Tian, Swalpa Kumar Roy, Tianyang Wang |
| 2024 | VTS | Domain-Adapted LLMs for VLSI Design and Verification: A Case Study on Formal Verification. | Mingjie Liu, Minwoo Kang, Ghaith Bany Hamad, Syed Suhaib, Haoxing Ren |
| 2023 | DAC | MTL-Designer: An Integrated Flow for Analysis and Synthesis of Microstrip Transmission Line. | Qipan Wang, Ping Liu, Liguo Jiang, Mingjie Liu, Yibo Lin, Runsheng Wang, Ru Huang |
| 2023 | ICCAD | Invited Paper: VerilogEval: Evaluating Large Language Models for Verilog Code Generation. | Mingjie Liu, Nathaniel Ross Pinckney, Brucek Khailany, Haoxing Ren |
| 2023 | ICCAD | An Adversarial Active Sampling-Based Data Augmentation Framework for AI-Assisted Lithography Modeling. | Mingjie Liu, Haoyu Yang, Brucek Khailany, Haoxing Ren |
| 2023 | IECON | A Small-Signal Modeling Method for Bidirectional CLLC Resonant Converter. | Jialing Yuan, Nong Wang, Xuehua Wang, Feng Wang, Mingjie Liu |
| 2022 | ASPDAC | Automating Analog Constraint Extraction: From Heuristics to Learning: (Invited Paper). | Keren Zhu, Hao Chen, Mingjie Liu, David Z. Pan |
| 2022 | ASPDAC | Generative-Adversarial-Network-Guided Well-Aware Placement for Analog Circuits. | Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Wei Shi, Nan Sun, David Z. Pan |
| 2022 | ASPDAC | ELight: Enabling Efficient Photonic In-Memory Neurocomputing with Life Enhancement. | Hanqing Zhu, Jiaqi Gu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan |
| 2022 | CHI | "So Close, yet So Far": Exploring Sexual-minority Women's Relationship-building via Online Dating in China. | Yichao Cui, Naomi Yamashita, Mingjie Liu, Yi-Chieh Lee |
| 2022 | DAC | A timing engine inspired graph neural network model for pre-routing slack prediction. | Zizheng Guo, Mingjie Liu, Jiaqi Gu, Shuhan Zhang, David Z. Pan, Yibo Lin |
| 2022 | DAC | ADEPT: automatic differentiable DEsign of photonic tensor cores. | Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Zixuan Jiang, Mingjie Liu, Shuhan Zhang, Ray T. Chen, David Z. Pan |
| 2022 | ICCAD | Why are Graph Neural Networks Effective for EDA Problems?: (Invited Paper). | Haoxing Ren, Siddhartha Nath, Yanqing Zhang, Hao Chen, Mingjie Liu |
| 2021 | ASPDAC | Layout Symmetry Annotation for Analog Circuits with Graph Neural Networks. | Xiaohan Gao, Chenhui Deng, Mingjie Liu, Zhiru Zhang, David Z. Pan, Yibo Lin |
| 2021 | DAC | Universal Symmetry Constraint Extraction for Analog and Mixed-Signal Circuits with Graph Neural Networks. | Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2021 | DAC | Interactive Analog Layout Editing with Instant Placement Legalization. | Xiaohan Gao, Mingjie Liu, David Z. Pan, Yibo Lin |
| 2021 | DATE | SqueezeLight: Towards Scalable Optical Neural Networks with Multi-Operand Ring Resonators. | Jiaqi Gu, Chenghao Feng, Zheng Zhao, Zhoufeng Ying, Mingjie Liu, Ray T. Chen, David Z. Pan |
| 2021 | DATE | Parasitic-Aware Analog Circuit Sizing with Graph Neural Networks and Bayesian Optimization. | Mingjie Liu, Walker J. Turner, George F. Kokai, Brucek Khailany, David Z. Pan, Haoxing Ren |
| 2021 | ICCAD | OpenSAR: An Open Source Automated End-to-end SAR ADC Compiler. | Mingjie Liu, Xiyuan Tang, Keren Zhu, Hao Chen, Nan Sun, David Z. Pan |
| 2021 | ICCV | Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. | Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan |
| 2020 | ASPDAC | Towards Area-Efficient Optical Neural Networks: An FFT-based Architecture. | Jiaqi Gu, Zheng Zhao, Chenghao Feng, Mingjie Liu, Ray T. Chen, David Z. Pan |
| 2020 | ASPDAC | S | Mingjie Liu, Wuxi Li, Keren Zhu, Biying Xu, Yibo Lin, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2020 | DAC | Closing the Design Loop: Bayesian Optimization Assisted Hierarchical Analog Layout Synthesis. | Mingjie Liu, Keren Zhu, Xiyuan Tang, Biying Xu, Wei Shi, Nan Sun, David Z. Pan |
| 2020 | DATE | Towards Decrypting the Art of Analog Layout: Placement Quality Prediction via Transfer Learning. | Mingjie Liu, Keren Zhu, Jiaqi Gu, Linxiao Shen, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2020 | ECCV | An Efficient Training Framework for Reversible Neural Architectures. | Zixuan Jiang, Keren Zhu, Mingjie Liu, Jiaqi Gu, David Z. Pan |
| 2020 | ICCAD | Effective Analog/Mixed-Signal Circuit Placement Considering System Signal Flow. | Keren Zhu, Hao Chen, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2020 | ICCAD | Toward Silicon-Proven Detailed Routing for Analog and Mixed-Signal Circuits. | Hao Chen, Keren Zhu, Mingjie Liu, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2019 | ICCAD | MAGICAL: Toward Fully Automated Analog IC Layout Leveraging Human and Machine Intelligence: Invited Paper. | Biying Xu, Keren Zhu, Mingjie Liu, Yibo Lin, Shaolan Li, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2019 | ICCAD | GeniusRoute: A New Analog Routing Paradigm Using Generative Neural Network Guidance. | Keren Zhu, Mingjie Liu, Yibo Lin, Biying Xu, Shaolan Li, Xiyuan Tang, Nan Sun, David Z. Pan |
| 2018 | VEHITS | Scale-Invarinat Kernelized Correlation Filter using Convolutional Feature for Object Tracking. | Mingjie Liu, Cheng-Bin Jin, Bin Yang, Xuenan Cui, Hakil Kim |
| 2015 | CCS | Mind Your Nonces Moving: Template-Based Partially-Sharing Nonces Attack on SM2 Digital Signature Algorithm. | Jiazhe Chen, Mingjie Liu, Hexin Li, Hongsong Shi |
| 2015 | FAW | Improved Information Set Decoding for Code-Based Cryptosystems with Constrained Memory. | Maoning Wang, Mingjie Liu |
| 2012 | CCS | An efficient broadcast attack against NTRU. | Jianwei Li, Yanbin Pan, Mingjie Liu, Guizhen Zhu |
| 2012 | ISIT | Cryptanalysis of a homomorphic encryption scheme from ISIT 2008. | Jingguo Bi, Mingjie Liu, Xiaoyun Wang |
| 2011 | CCS | Improved Nguyen-Vidick heuristic sieve algorithm for shortest vector problem. | Xiaoyun Wang, Mingjie Liu, Chengliang Tian, Jingguo Bi |
| 2011 | IJCAI | Multi-Kernel Multi-Label Learning with Max-Margin Concept Network. | Wei Zhang, Xiangyang Xue, Jianping Fan, Xiaojing Huang, Bin Wu, Mingjie Liu |
| 2011 | IJCAI | Cross-People Mobile-Phone Based Activity Recognition. | Zhongtang Zhao, Yiqiang Chen, Junfa Liu, Zhiqi Shen, Mingjie Liu |