Rethinking and Designing a High-Performing Automatic License Plate Recognition Approach. - Yi Wang 068; Zhen-Peng Bian; Yunhao Zhou; Lap-Pui Chau (IEEE Trans. Intell. Transp. Syst., 2022)

Moving Towards Centers: Re-Ranking With Attention and Memory for Re-Identification. - Yunhao Zhou; Yi Wang 068; Lap-Pui Chau (IEEE Trans. Multim., 2023)

Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework. - Kaiyan Chang; Kun Wang 055; Nan Yang; Ying Wang 001; Dantong Jin; Wenlong Zhu; Zhirong Chen; Cangyuan Li; Hao Yan; Yunhao Zhou; Zhuoliang Zhao; Yuan Cheng; et al. (DAC, 2024)

Natural language is not enough: Benchmarking multi-modal generative AI for Verilog generation. - Kaiyan Chang; Zhirong Chen; Yunhao Zhou; Wenlong Zhu; Kun Wang 055; Haobo Xu; Cangyuan Li; Mengdi Wang; Shengwen Liang; Huawei Li 001; Yinhe Han 001; Ying Wang 001 (ICCAD, 2024)

C^0 Generalized Coons Patches for High-order Cage-based Deformation. - Kaikai Qin; Yunhao Zhou; Chenhao Ying 003; Yajuan Li; Chongyang Deng (ACM Trans. Graph., 2024)

DeepRTL2: A Versatile Model for RTL-Related Tasks. - Yi Liu; Hongji Zhang; Yunhao Zhou; Zhengyuan Shi; Changran Xu; Qiang Xu 001 (ACL (Findings), 2025)

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model. - Yi Liu; Changran Xu; Yunhao Zhou; Zeju Li; Qiang Xu 001 (ICLR, 2025)

DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis. - Zeju Li; Changran Xu; Zhengyuan Shi; Zedong Peng; Yi Liu; Yunhao Zhou; Lingfeng Zhou; Chengyu Ma; Jianyuan Zhong; Xi Wang; Jieru Zhao; Zhufei Chu; et al. (CoRR, 2025)

Speculative Decoding for Verilog: Speed and Quality, All in One. - Changran Xu; Yi Liu; Yunhao Zhou; Shan Huang 010; Ningyi Xu; Qiang Xu 001 (CoRR, 2025)

ForgeEDA: A Comprehensive Multimodal Dataset for Advancing EDA. - Zhengyuan Shi; Zeju Li; Chengyu Ma; Yunhao Zhou; Ziyang Zheng; Jiawei Liu 006; Hongyang Pan; Lingfeng Zhou; Kezhi Li; Jiaying Zhu; Lingwei Yan; Zhiqiang He; et al. (CoRR, 2025)

MMCircuitEval: A Comprehensive Multimodal Circuit-Focused Benchmark for Evaluating LLMs. - Chenchen Zhao; Zhengyuan Shi; Xiangyu Wen; Chengjie Liu; Yi Liu; Yunhao Zhou; Yuxiang Zhao; Hefei Feng; Yinan Zhu; Gwok-Waa Wan; Xin Cheng; Weiyu Chen; et al. (CoRR, 2025)