Memristor-based Deep Convolution Neural Network: A Case Study. - Fan Zhang 069; Miao Hu 002 (CoRR, 2018)

Defects Mitigation in Resistive Crossbars for Analog Vector Matrix Multiplication. - Fan Zhang 069; Miao Hu 002 (ASP-DAC, 2020)

CCCS: Customized SPICE-level Crossbar-array Circuit Simulator for In-Memory Computing. - Fan Zhang 069; Miao Hu 002 (ICCAD, 2020)

Mitigate Parasitic Resistance in Resistive Crossbar-based Convolutional Neural Networks. - Fan Zhang 069; Miao Hu 002 (ACM J. Emerg. Technol. Comput. Syst., 2020)

Max-PIM: Fast and Efficient Max/Min Searching in DRAM. - Fan Zhang 069; Shaahin Angizi; Deliang Fan (DAC, 2021)

PIM-Quantifier: A Processing-in-Memory Platform for mRNA Quantification. - Fan Zhang 069; Shaahin Angizi; Naima Ahmed Fahmi; Wei Zhang 076; Deliang Fan (DAC, 2021)

Efficient Multi-task Adaption for Crossbar-based In-Memory Computing. - Fan Zhang 069; Li Yang 009; Deliang Fan (IEEECONF, 2022)

XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption. - Fan Zhang 069; Li Yang 009; Jian Meng; Yu Kevin Cao; Jae-sun Seo; Deliang Fan (ASP-DAC, 2022)

XMA: a crossbar-aware multi-task adaption framework via shift-based mask learning method. - Fan Zhang 069; Li Yang 009; Jian Meng; Jae-sun Seo; Yu Kevin Cao; Deliang Fan (DAC, 2022)

XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning. - Fan Zhang 069; Li Yang 009; Jian Meng; Jae-Sun Seo; Yu Cao 001; Deliang Fan (DATE, 2022)

A 1.23-GHz 16-kb Programmable and Generic Processing-in-SRAM Accelerator in 65nm. - Amitesh Sridharan; Shaahin Angizi; Sai Kiran Cherupally; Fan Zhang 069; Jae-Sun Seo; Deliang Fan (ESSCIRC, 2022)

MnM: A Fast and Efficient Min/Max Searching in MRAM. - Amitesh Sridharan; Fan Zhang 069; Deliang Fan (ACM Great Lakes Symposium on VLSI, 2022)

DSPIMM: A Fully Digital SParse In-Memory Matrix Vector Multiplier for Communication Applications. - Amitesh Sridharan; Fan Zhang 069; Yang Sui; Bo Yuan 001; Deliang Fan (DAC, 2023)

A 65nm RRAM Compute-in-Memory Macro for Genome Sequencing Alignment. - Fan Zhang 069; Wangxin He; Injune Yeo; Maximilian Liehr; Nathaniel C. Cady; Yu Cao 001; Jae-Sun Seo; Deliang Fan (ESSCIRC, 2023)

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. - Jianyi Zhang; Ang Li 005; Minxue Tang; Jingwei Sun 002; Xiang Chen 010; Fan Zhang 069; Changyou Chen; Yiran Chen 001; Hai Li 001 (ICML, 2023)

Aligner-D: Leveraging In-DRAM Computing to Accelerate DNA Short Read Alignment. - Fan Zhang 069; Shaahin Angizi; Jiao Sun; Wei Zhang 076; Deliang Fan (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

SP-IMC: A Sparsity Aware In-Memory-Computing Macro in 28nm CMOS with Configurable Sparse Representation for Highly Sparse DNN Workloads. - Amitesh Sridharan; Fan Zhang 069; Jae-Sun Seo; Deliang Fan (CICC, 2024)

Hyb-Learn: A Framework for On-Device Self-Supervised Continual Learning with Hybrid RRAM/SRAM Memory. - Fan Zhang 069; Li Yang 009; Deliang Fan (DAC, 2024)

Efficient Memory Integration: MRAM-SRAM Hybrid Accelerator for Sparse On-Device Learning. - Fan Zhang 069; Amitesh Sridharan; Wilman Tsai; Yiran Chen 001; Shan X. Wang; Deliang Fan (DAC, 2024)

A 65-nm RRAM Compute-in-Memory Macro for Genome Processing. - Fan Zhang 069; Amitesh Sridharan; Wangxin He; Injune Yeo; Maximilian Liehr; Wei Zhang 076; Nathaniel C. Cady; Yu Cao 001; Jae-Sun Seo; Deliang Fan (IEEE J. Solid State Circuits, 2024)

On-Device Continual Learning With STT-Assisted-SOT MRAM-Based In-Memory Computing. - Fan Zhang 069; Amitesh Sridharan; William Hwang; Fen Xue; Wilman Tsai; Shan X. Wang; Deliang Fan (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Learning to Prune and Low-Rank Adaptation for Compact Language Model Deployment. - Asmer Hamid Ali; Fan Zhang 069; Li Yang 009; Deliang Fan (ASP-DAC, 2025)

Efficient Self-Supervised Continual Learning with Progressive Task-Correlated Layer Freezing. - Li Yang 009; Sen Lin 001; Fan Zhang 069; Junshan Zhang; Deliang Fan (ISQED, 2025)