I am a Postdoctoral Associate in the Department of Electrical and Computer Engineering at Duke University, working with Prof. Yiran Chen and Prof. Hai (Helen) Li. I received my Ph.D. in Computer Science from Shanghai Jiao Tong University in 2023, supervised by Prof. Jingwen Leng.

My research focuses on computer architecture, especially scalable hardware–software co-design for efficient AI systems. I have developed sparsity- and quantization-aware architectures for model compression and overall efficiency. Recently, I have been exploring architectural designs tailored for large language models (LLMs).

Over the past five years, I have published 14 papers at the four flagship computer architecture conferences (ISCA, MICRO, HPCA, and ASPLOS), among which 9 are first- or corresponding-author publications (ISCA ×4, HPCA ×3, ASPLOS ×1, MICRO ×1). My work has received an HPCA 2026 Best Paper Nomination and was selected as an IEEE 2022 Micro Top Pick (Honorable Mention). An up-to-date publication and citation record is available on my Google Scholar .

🔥 News

• 2026.01:  🎉 One paper was accepted to ICLR 2026.
• 2026.01:  🔥 Our HPCA 2026 paper (Focus) was nominated for Best Paper (one of four nominees, 4/119 accepted).
• 2025.11:  🎉🎉 Two papers were accepted to HPCA 2026.
• 2025.10:  🎉 Nominated for the 2025 Outstanding Postdoc Award at Duke University.
• 2025.09:  🎉 One paper was accepted to ASP-DAC 2026.
• 2025.03:  🎉🎉🎉 Three papers were accepted to ISCA 2025.
• 2024.11:  🎉🎉🎉 Three papers were accepted to HPCA 2025.
• 2024.03:  🎉 I received the 2023 Shanghai Jiao Tong University Outstanding Doctoral Dissertation Award
  (15 recipients university-wide, <1% per year; 2023年度上海交通大学优秀博士学位论文，全校共15人).
• 2023.11:  🎉🎉 Two papers were accepted to ASPLOS 2024.

💻 Experience

• 2023.12 - Now, Postdoctoral associate, Department of ECE, Duke University.
• 2021.06 - 2023.12, Research intern, Shanghai Qi Zhi Institute.
• 2023.04 - 2023.09, Reaserch intern, ANT Group (AliPay).
• 2020.06 - 2021.05, Research intern, Microsoft Research Asia (Beijing).
• 2019.05 - 2019.12, Intern, NVIDIA (Shanghai).

📝 Publications

Conference:

• ICLR 2026 Xinhua Chen=, Sitao Huang=, Cong Guo=*, Chiyue Wei, Yintao He, Jianyi Zhang, Hai “Helen” Li, Yiran Chen; DPad: Efficient Diffusion Language Models with Suffix Dropout. (=Equal Contribution, *Corresponding Author)

• HPCA 2026 Chiyue Wei=, Cong Guo=*, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai “Helen” Li, Yiran Chen; Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. (=Equal Contribution, *Corresponding Author) (Best Paper Nomination)

• HPCA 2026 Yuzhe Fu, Changchun Zhou*, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo*, Hai “Helen’’ Li, Yiran Chen; FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. (*Corresponding Author)

• ASP-DAC 2026 Haoxuan Shan, Cong Guo*, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai “Helen’’ Li, Yiran Chen; Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication. (*Corresponding Author)

• ISCA 2025 Cong Guo*, Chiyue Wei, Jiaming Tang, Bowen Duan, Song Han, Hai Li, Yiran Chen; Transitive Array: An Efficient GEMM Accelerator with Result Reuse. (*Corresponding Author)
• ISCA 2025 Chiyue Wei, Bowen Duan, Cong Guo*, Jingyang Zhang, Qingyue Song, Hai Li, Yiran Chen; Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks. (*Corresponding Author)
• ISCA 2025 Feng Cheng, Cong Guo*, Chiyue Wei, Junyao Zhang, Changchun Zhou, Edward Hanson, Jiaqi Zhang, Xiaoxiao Liu, Hai Li, Yiran Chen; Ecco: Improving Memory Bandwidth and Capacity for LLMs via Entropy-aware Cache Compression. (*Corresponding Author)
• HPCA 2025 Chiyue Wei, Cong Guo*, Feng Cheng, Shiyu Li, Hao Yang, Hai Li, Yiran Chen; Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. (*Corresponding Author)
• HPCA 2025 Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Jingwen Leng, Chen Jin; VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference.
• HPCA 2025 Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng; MANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type.
• ASPLOS 2024 Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang; GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching.
• ASPLOS 2024 Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu; JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping.
• ISCA 2023 Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu; OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization.

• MICRO 2022 Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu; ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. (2022 IEEE Micro Top Picks Honorable Mention)

• ICLR 2022 Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo; SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation.
• ICCD 2022 Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo; Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training.
• MSN 2022 Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma; Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. (Best Paper Award)
• CF 2022 Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo; AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs.
• IISWC 2021 Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu; Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators.
• ISCA 2021 Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng; Dual-side Sparse Tensor Core,
• SC 2020 Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu; Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity.
• DAC 2020 Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo; Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration.
• CVPR 2019 Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu; Adversarial Defense Through Network Profiling Based Path Extraction.

Journal:

• IEEE Circuits and Systems Magazine 2025 Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao Frank Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen; A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models.
• IEEE Transactions on Computers 2025 Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Guangyu Sun, Zhigang Ji, Runsheng Wang, Yuan Xie, Ru Huang; DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures.
• IEEE Transactions on Computers 2024 Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo; Accelerating Sparse DNNs Based on Tiled GEMM.

🏆 Honors and Awards

• 2026.01 HPCA 2026 Best Paper Nomination
• 2025.10 Nominee for the 2025 Outstanding Postdoctoral Award (24 nominees university-wide), Duke University
• 2024.03 Outstanding Doctoral Dissertation Award (15 recipients university-wide), Shanghai Jiao Tong University
• 2023.07 IEEE Micro Top Picks from 2022 Computer Architecture Conferences Honorable Mention
• 2023.06 Outstanding Doctoral Graduates, Shanghai Jiao Tong University
• 2022.08 Excellent Ph.D. Scholarship of Yang Yuanqing Education Fund (Top-3/500+), Shanghai Jiao Tong University
• 2020.11 Ph.D. National Scholarship (Top-8/500+), Ministry of Education, PRC
• 2020.07 DAC2020 Richard Newton Young Student Fellow, Design Automation Conference
• 2018.11 VMware Scholarship, Shanghai Jiao Tong University
• 2017.11 National Second Prize, The 14th China Post-Graduate Mathematical Contest in Modeling

👔 Academic Service

Journal Reviewer

• ACM Transactions on Embedded Computing Systems (TECS)
• ACM Transactions on Architecture and Code Optimization (TACO)
• IEEE Computer Architecture Letters (CAL)
• IEEE Transactions on Computers (TC)
• IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
• IEEE Transactions on Circuits and Systems for Artificial Intelligence (TCASAI)
• IEEE Transactions on Very Large Scale Integration (VLSI) Systems (TVLSI)
• Journal of Systems Architecture (JSA)
• Science China Information Sciences (SCIS)

Conference Service

• Technical Program Committee (TPC) Member, DAC 2026

📖 Educations

• 2020.09 - 2023.09, Ph.D in Computer Science, Department of Computer Science and Engineering, Shanghai Jiao Tong University.
• 2017.09 - 2020.03, M.E. in Computer Technology, Department of Computer Science and Engineering, Shanghai Jiao Tong University.
• 2012.09 - 2016.06, B.S. in Computer Science, College of Computer Science and Software Engineering, Shenzhen University.