📝 Full Publication List

Published Journals

• [TECS 2025] SLIM: A Heterogeneous Accelerator for Edge Inference of Sparse Large Language Model via Adaptive Thresholding
  Weihong Xu, Haein Choi, Po-Kai Hsu, Shimeng Yu, and Tajana Rosing
  ACM Transactions on Embedded Computing Systems (TECS), 2025
• [TCAD 2025] HyperMetric: Efficient Hyperdimensional Computing With Metric Learning for Robust Edge Intelligence
  Weihong Xu, Sean Fuhrman, Keming Fan, Sumukh Pinge, Wei-Chen Chen, and Tajana Rosing
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024
• [TETC 2025] Fhemem: A processing in-memory accelerator for fully homomorphic encryption
  Minxuan Zhou, Yujin Nam, Pranav Gangwar, Weihong Xu, Arpan Dutta, Chris Wilkerson, Rosario Cammarota, Saransh Gupta, and Tajana Rosing IEEE Transactions on Emerging Topics in Computing (TETC), 2025
• [TCAD 2024] Tri-HD: Train, Re-train, and Infer with Hyperdimensional Computing in Memory
  Weihong Xu, Saransh Gupta, Justin Morris, Xincheng Shen, Mohsen Imani, Baris Aksanli, and Tajana Rosing
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2024
• [Bioinformatics 2024] HyperGen: Compact and Efficient Genome Sketching using Hyperdimensional Vectors
  Weihong Xu, Po-kai Hsu, Niema Moshiri, Shimeng Yu, and Tajana Rosing
  Bioinformatics, 2024
  
• [TACO 2024] Abakus: Accelerating k-mer Counting With Storage Technology
  Lingxi Wu, Minxuan Zhou, Weihong Xu, Ashish Venkat, Tajana Rosing, and Kevin Skadron
  ACM Transactions on Architecture and Code Optimization (TACO), 2024
• [TCAD 2023] RAPIDx: High-performance ReRAM Processing in-Memory Accelerator for DNA Alignment
  Weihong Xu, Saransh Gupta, Niema Moshiri, and Tajana Rosing
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2023
• [JPR 2023] HyperSpec: Fast Mass Spectra Clustering in Hyperdimensional Space
  Weihong Xu, Jaeyoung Kang, Wout Bittremieux, Niema Moshiri, and Tajana Rosing
  Journal of Proteome Research, 2023
  
• [TCAD 2020] Reconfigurable and Low-complexity Accelerator for Convolutional and Generative Networks over Finite Fields
  Weihong Xu, Zaichen Zhang, Xiaohu You, and Chuan Zhang
  IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020
• [JETCAS 2020] Deep Learning-aided Belief Propagation Decoder for Polar Codes
  Weihong Xu, Xiaosi Tan, Yair Be’ery, Zaichen Zhang, Xiaohu You, and Chuan Zhang
  IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2020

Published Conferences

• [VLSI 2025] Clo-HDnn: A 4.66 TLOPS/W and 3.78 TOPS/W Continual On-Device Learning Accelerator with Energy-Efficient Hyperdimensional Computing via Progressive Search
  Chang Eun Song, Weihong Xu, Keming Fan, Soumil Jain, Gopabandhu Hota, Haichao Yang, Leo Liu, Kerem Akarvardar, Meng-Fan Chang, Carlos H. Diaz, Gert Cauwenberghs, Tajana Rosing, and Mingu Kang
  Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2025 * Equal contribution

• [ISCA 2025] Hpvm-hdc: A heterogeneous programming system for accelerating hyperdimensional computing
  Russel Arbore, Xavier Routh, Abdul Rafae Noor, Akash Kothari, Haichao Yang, Weihong Xu, Sumukh Pinge, Minxuan Zhou, Tajana Rosing, and Vikram Adve
  International Symposium on Computer Architecture (ISCA), 2025

• [IEDM 2024] Filament-Free Bulk RRAM with High Endurance and Long Retention for Neuromorphic Few-Shot Learning On-Chip
  Ashwani Kumar, Yucheng Zhou, Sai Praneeth Potladurthy, Jeong-Hoon Kim, Weihong Xu, Flavio Ponzina, Seonghyun Kim, Ertugrul Cubukcu, Tajana Rosing, Gert Cauwenberghs, and Duygu Kuzum
  IEEE International Electron Devices Meeting (IEDM), 2024
• [DATE 2024] AttBind: Memory-Efficient Acceleration for Long-Range Attention Using Vector-Derived Symbolic Binding
  Weihong Xu, Jaeyoung Kang, and Tajana Rosing
  Design, Automation and Test in Europe Conference (DATE), 2024
• [ESSERC 2024] FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
  Haichao Yang, Chang Eun Song, Weihong Xu, Behnam Khaleghi, Uday Mallappa, Monil Shah, Keming Fan, Mingu Kang, and Tajana Rosing
  European Solid-State Electronics Research Conference (ESSERC), 2024
• [DAC 2024] Rl-ptq: Rl-based mixed precision quantization for hybrid vision transformers
  Eunji Kwon, Minxuan Zhou, Weihong Xu, Tajana Rosing. and Seokhyeong Kang
  ACM/IEEE Design Automation Conference (DAC), 2024
• [ICCD 2023] HyperMetric: Robust Hyperdimensional Computing on Error-prone Memories using Metric Learning
  Weihong Xu, Viji Swaminathan, Sumukh Pinge, Sean Fuhrman, and Tajana Rosing
  IEEE International Conference on Computer Design (ICCD), 2023
• [DATE 2023] FSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing
  Weihong Xu, Jaeyoung Kang, and Tajana Rosing
  Design, Automation and Test in Europe Conference (DATE), 2023
• [HPCA 2022] TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformers
  Minxuan Zhou∗, Weihong Xu∗, Jaeyoung Kang, and Tajana Rosing
  IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2022 * Equal contribution
• [DAC 2022] A Near-Storage Framework for Boosted Data Preprocessing of Mass Spectrum Clustering
  Weihong Xu, Jaeyoung Kang, and Tajana Rosing
  IEEE/ACM Design Automation Conference (DAC), 2022

Under Review

• [Under Review] Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND
  Weihong Xu, Junwei Chen, Po-Kai Hsu, Jaeyoung Kang, Minxuan Zhou, Sumukh Pinge, Shimeng Yu, and Tajana Rosing
  Under review of IEEE Transactions on Computers, 2024