Publications

Conference:

  • [C13] Lancheng Zou, Wenqian Zhao, Shuo Yin, Chen Bai, Qi Sun, Bei Yu, “BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization”, International Conference on Machine Learning (ICML), Vienna, Jul. 21–27, 2024.

  • [C12] Jiaxi Jiang, Lancheng Zou, Wenqian Zhao, Zhuolun He, Tinghuan Chen, Bei Yu, “PDRC: Package Design Rule Checking via GPU-Accelerated Geometric Intersection Algorithms for Non-Manhattan Geometry”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.

  • [C11] Zixiao Wang, Yunheng Shen, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu, “ChatPattern: Layout Pattern Customization via Natural Language”, ACM/IEEE Design Automation Conference (DAC), San Francisco, Jun. 23–27, 2024.

  • [C10] Xufeng Yao, Fanbin Lu, Yuechen Zhang, Xinyun Zhang, Wenqian Zhao, Bei Yu, “Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process”, AAAI Conference on Artificial Intelligence, (AAAI), Feb. 20–27, 2024. (paper)

  • [C9] Shuo Yin*, Wenqian Zhao*, Li Xie, Hong Chen, Yuzhe Ma, Tsung-Yi Ho, Bei Yu, “FuILT: Full Chip ILT System With Boundary Healing”, International Symposium on Physical Design, (ISPD), Mar. 12-15, 2024. (paper)

  • [C8] Yang Bai*, Wenqian Zhao*, Shuo Yin, Zixiao Wang, Bei Yu, “ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Large-Scale Transformers”, Conference on Empirical Methods in Natural Language Processing (EMNLP), Dec. 6-10, 2023.

  • [C7] Wenqian Zhao*, Shuo Yin*, Chen Bai, Zixiao Wang, Bei Yu, “BAQE: A Backend-Adaptive DNN Quantization Flow”, International Conference on Computer Vision (ICCV) - LBQNN Workshop (Oral), Oct. 2-7, 2023.

  • [C6] Shixin Chen, Su Zheng, Chen Bai, Wenqian Zhao, Shuo Yin, Yang Bai, Bei Yu, “SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design”, IEEE/ACM Asian and South Pacific Design Automation Conference (ASPDAC), Jan. 22-25, 2024.

  • [C5] Zehua Pei, Wenqian Zhao, Zhuolun He, Bei Yu, “Bit-Level Quantization for Efficient Layout Hotspot Detection”, International Symposium of EDA (ISEDA), May 9–11, 2023. (paper)

  • [C4] Zixiao Wang, Yunheng Shen, Wenqian Zhao, Yang Bai, Guojin Chen, Farzan Farnia, Bei Yu, “DiffPattern: Layout Pattern Generation via Discrete Diffusion”, ACM/IEEE Design Automation Conference (DAC), Jul. 9 – 13, 2023. (paper)

  • [C3] 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”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Oct. 30 – Nov. 3, 2022. (paper)(slides)

  • [C2] Wenqian Zhao, Qi Sun, Yang Bai, Haisheng Zheng, Wenbo Li, Bei Yu, Martin D.F. Wong, “A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU”, IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 1–4, 2021. (paper)(slides)

  • [C1] Weijia Li, Wenqian Zhao, Huaping Zhong, Conghui He, Dahua Lin, “Joint Semantic-Geometric Learning for Polygonal Building Segmentation”, Proceedings of AAAI Conference on Artificial Intelligence (AAAI), Feb. 02-09, 2021. (paper)

Journal:

  • [J9] Ziyang Yu, Su Zheng, Wenqian Zhao, Shuo Yin, Xiaoxiao Liang, Guojin Chen, Yuzhe Ma, Bei Yu, Martin D.F. Wong, “RuleLearner: OPC Rule Extraction from Inverse Lithography Technique Engine”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.

  • [J8] Wenqian Zhao*, Shuo Yin*, Chen Bai, Zixiao Wang, Bei Yu, “BAQE: Backend-Adaptive DNN Deployment via Synchronous Bayesian Quantization and Hardware Configuration Exploration”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.

  • [J7] Ziyi Wang, Wenqian Zhao, Yuan Pu, Lei Chen, Wilson Wang Kit Thong, Weihua Sheng, Tsung-Yi Ho, Bei Yu, “ParSGCN: Bridging the Gap Between Emulation Partitioning and Scheduling”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024.

  • [J6] 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 Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024. (paper)

  • [J5] Hongduo Liu, Yijian Qian, Youqiang Liang, Bin Zhang, Zhaohan Liu, Tao He, Wenqian Zhao, Jiangbo Lu, Bei Yu, “A High-Performance Accelerator for Real-Time Super-Resolution on Edge FPGAs”, ACM Transactions on Design Automation of Electronic Systems (TODAES), 2024. (paper)

  • [J4] Yang Bai, Xufeng Yao, Qi Sun, Wenqian Zhao, Shixin Chen, Zixiao Wang, Bei Yu, “GTCO: Graph and Tensor Co-Design for Transformer-based Image Recognition on Tensor Cores”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023. (paper)

  • [J3] Zehua Pei, Xufeng Yao, Wenqian Zhao, Bei Yu, “Quantization via Distillation and Contrastive Learning”, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023. (paper)

  • [J2] Weijia Li, Wenqian Zhao, Jinhua Yu, Juepeng Zheng, Conghui He, Haohuan Fu, Dahua Lin, “Joint Semantic-Geometric Learning for Polygonal Building Segmentation from High-Resolution Remote Sensing Images”, ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS), 2023. (paper)

  • [J1] Wenqian Zhao, Qi Sun, Yang Bai, Haisheng Zheng, Wenbo Li, Nianjuan Jiang, Jiangbo Lu, Bei Yu, Martin D.F. Wong, “A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU”, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023. (paper)

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