Publications

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I am fortunate to collaborate with talented researchers/engineers and published several papers for our work:

2025
  • Zhe Jiang, Minli Liao, Sam Ainsworth, Dean You, and Timothy Jones. MEEK: Re-thinking Heterogeneous Parallel Error Detection Architecture for Real-World OoO Superscalar Processors, Design Automation Conference (DAC), 2025. [Accepted]
  • Zhe Jiang, Sam Ainsworth, and Timothy Jones. FireGuard: A Generalized Microarchitecture for Fine-Grained Security Analysis on OoO Superscalar Cores, Design Automation Conference (DAC), 2025. [Accepted]
  • Tinglue Wang, Yiming Li, Wei Tang, Jiapeng Guan, Zhenghui Guo, Renshuang Jiang, Ran Wei, Jing Li, and Zhe Jiang. FlexStep: Enabling Flexible Error Detection in Multi/Many-core Real-time Systems, Design Automation Conference (DAC), 2025. [Accepted]
  • Hui Wang, Zhengpeng Zhao, Jing Wang, Yushu Du, Yuan Cheng, Bing Guo, He Xiao, Chenhao Ma, Xiaomeng Han, Dean You, Jiapeng Guan, Ran Wei, Dawei Yang, and Zhe Jiang. NVR: Vector Runahead on NPUs for Sparse Memory Access, Design Automation Conference (DAC), 2025. [Accepted]
  • Xiaomeng Han, Yuan Cheng, Jing Wang, Junyang Lu, Hui Wang, Xuanxi Zhang, Ning Xu, Dawei Yang, and Zhe Jiang. BBAL: A Bidirectional Block Floating Point-Based Quantization Accelerator for Large Language Models, Design Automation Conference (DAC), 2025. [Accepted]
  • Yuchen Hu, Junhao Ye, Ke Xu, Jialin Sun, Shiyue Zhang, Xinyao Jiao, Dingrong Pan, Jie Zhou, Ning Wang, Weiwei Shan, Xinwei Fang, Xi Wang, Nan Guan, and Zhe Jiang. UVLLM: An Automated Universal RTL Verification Framework using LLMs, Design Automation Conference (DAC), 2025. [Accepted]
  • Jie Zhou, Youshu Ji, Ning Wang, Yuchen Hu, Xinyao Jiao, Bingkun Yao, Xinwei Fang, Nan Guan, Shuai Zhao, and Zhe Jiang. Insights from Rights and Wrongs: A Large Language Model for Solving Assertion Failures in RTL Design, Design Automation Conference (DAC), 2025. [Accepted]
  • Renshuang Jiang, Pan Dong, Zhenling Duan, Yu Shi, Xiaoxiang Fang, Yan Ding, Jun Ma, Shuai Zhao, and Zhe Jiang. Unlocking a New Rust Programming Experience: Fast and Slow Thinking with LLMs to Conquer Undefined Behaviors, Design Automation Conference (DAC), 2025. [Accepted]
  • Juxin Niu, Xiangfeng Liu, Dan Niu, Xi Wang, Zhe Jiang, and Nan Guan. ReChisel: Effective Automatic Chisel Code Generation by LLM with Reflection, Design Automation Conference (DAC), 2025. [Accepted]
  • Bingkun Yao, Ning Wang, Jie Zhou, Xi Wang, Hong Gao, Zhe Jiang, and Nan Guan. Location is Key: Leveraging LLM for Functional Bug Localization in Verilog Design, Design Automation Conference (DAC), 2025. [Accepted]
  • Bingkun Yao, Mun Choon Chan, Hong Gao, Zhe Jiang, and Nan Guan. Age-of-Information Minimization for Data Aggregation in Energy-Harvesting IoTs, Design Automation Conference (DAC), 2025. [Accepted]
  • Xing Hu, Yuan Cheng, Dawei Yang, Zukang Xu, Zhihang Yuan, Jiangyong Yu, Chen Xu, Zhe Jiang, and Sifan Zhou. OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting, International Conference on Learning Representations (ICLR), 2025. [Accepted]
  • Hui Wang, Yuan Cheng, Xiaomeng Han, Zhengpeng Zhao, Dawei Yang, and Zhe Jiang. Pushing the Limits of BFP on Narrow Precision LLM Inference , AAAI Conference on Artificial Intelligence (AAAI), 2025. [Accepted]
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