I am a Postdoctoral Fellow in the Department of Electrical and Computer Engineering at The University of Hong Kong, working with Prof. Han Wang. I received my Ph.D. from HKU in 2026, supervised by Prof. Han Wang and Prof. Zhongrui Wang, and my bachelor's degree from Huazhong University of Science and Technology in 2022.

I build compute-in-memory chips with memristors such as RRAM and carry them all the way to working systems: the chip, the test board and FPGA controller, and the algorithms that run on them. My research follows three directions. The first turns the physical properties of the device into computing resources and system elements. The second asks how to deploy and train neural networks efficiently on memristor-based analog compute-in-memory, through in-memory pruning, adaptive programming and fault-aware compensation. The third explores new computing paradigms built on memristors, such as fully analog, continuous-time neural ODE solvers for generative models.

I have authored 25 peer-reviewed papers (13 journal and 12 conference papers), including 6 as first or co-first author in Nature Communications, IEDM, DAC and ICCAD. As a co-author I have also published in Nature, Nature Machine Intelligence, Nature Nanotechnology, Nature Computational Science, Science Advances, Advanced Materials and IEEE Transactions on Computers.

A Fully Analog Continuous-Time CIM Neural ODE Solver for Flow-Matching-Based Fluid Dynamics Generation

S. Wang†, M. Xu†*, J. Yang†, Z. Chen, H. Chen, S. Liu, X. Zhang, K. Wong, N. Lin, Y. Li, Z. Wang*, H. Wang*

ACM/IEEE Design Automation Conference (DAC)

DAC 2026

Pruning random resistive memory for optimizing analog AI

Y. Li†, S. Wang†, Y. Zhao, S. Wang, B. Wang, W. Zhang, Y. He, N. Lin, B. Cui, X. Chen, S. Zhang, H. Jiang, P. Lin, X. Zhang, F. Zhang, X. Qi, Z. Wang*, X. Xu*, D. Shang*, Q. Liu, H. Wang, K.-T. Cheng, M. Liu

Nature Communications, vol. 17, 1190

Nat. Commun. 2026

Reconfigurable Digital RRAM Logic Enables In-situ Pruning and Learning for Edge AI

S. Wang†, Y. Zhang†, J. Chen, X. Zhang, Y. Li, N. Lin, Y. He, J. Yang, Y. Yu, Y. Li, Z. Wang*, X. Qi*, H. Wang*

Science Advances, arXiv:2506.13151 (In revision)

arXiv 2025

All-PWM RRAM Compute-in-Memory with In-Loop State Memory for Energy-Efficient Closed-Loop State Evolution

J. Yang†, X. Zhang†, S. Wang†, H. Chen, Z. Li, S. Liang, H.-M. Zhang, N. Lin, Y. Li, Z. Wang*, H. Wang*

IEEE International Electron Devices Meeting (IEDM)

IEDM 2026

Two-dimensional materials for advanced back-end-of-line and wafer backside technologies

Z. Wang, J. Wang, Y. Cao, H.-M. Zhang, Y. Zeng, S. Liu, S. Wang, H. Gong, Y. Zhang*, P. Wu*, L. Peng, H. Wang*

Nature Nanotechnology

Nat. Nanotechnol. 2026

Efficient and accurate neural-field reconstruction using resistive memory

Y. Yu, X. Zhang, S. Wang, W. Zhang, X. Wu, Y. He, J. Yang, Y. Zhang, N. Lin, B. Wang, X. Chen, S. Wang, X. Wu, S. Han, Y. Li, M. Xu, H. Chen, W. Zhang, J. Chen, X. Zhang, X. Qi*, D. Shang*, Q. Liu*, Z. Wang*, K.-T. Cheng, M. Liu

Nature, vol. 654, pp. 642–651

Nature 2026

Resistive memory-based neural differential equation solver for score-based diffusion model

J. Yang†, H. Chen†, J. Chen†*, S. Wang, Q. Zhu, X. Zhang, Y. Zeng, S. Wang, M. Yang, Y. Yu, X. Chen, B. Wang, B. Cui, Y. Li, N. Lin, M. Xu, Y. Li, X. Xu, X. Qi, X. Zhang*, D. Shang*, Z. Wang*, H. Wang, Q. Liu, K.-T. Cheng, M. Liu

Nature Communications, vol. 17, 6354

Nat. Commun. 2026

Adaptive Redox Resistive Memory Programming for Efficient and Robust Class-Incremental Learning

Y. Li, J. Yang, Q. Hou, S. Wang, S. Liu, H. Zhang, Z. Ye, J. Jiang, N. Lin, X. Xu, D. Shang, X. Qi, Z. Wang*, H. Wang

Advanced Materials, vol. 38, no. 48, e00025

Adv. Mater. 2026

Comprehensive Reliability Enhancement for High-Precision RRAM Compute-in-Memory via Fault-Aware Hadamard Transform and Low-Rank Compensation

J. Yang, X. Zhang, J. Chen, M. Xu, H. Chen, Y. Zeng, J. Jiang, S. Wang, Y. Li, Z. Wang, Y. Li, H. Wang

IEEE International Electron Devices Meeting (IEDM)

IEDM 2026

RRAM-DP: Device-Calibrated In-Memory Edge Learning

K. Wong†, J. Yang†, K. M. H. Lai, H. Chen, S. Wang, W. Xuan, N. Lin*, H. Wang, X. Qi*, Z. Wang*

IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

ICCAD 2026

HFSCIM: Hybrid FeFET-SRAM CIM Architecture for Continuous-Time Inference and Online Reinforcement Learning

H. Chen, Z. Xuan, Y. Li, N. Lin, J. Chen, Y. Zeng, J. Yang, S. Wang, H. Wang, Z. Wang

IEEE/ACM International Conference on Computer-Aided Design (ICCAD)

ICCAD 2026

Reconfigurable 3D-VRRAM LUT-CiM with Greedy G-shuffle Quantization for End-to-End 4-bit ViTs in Edge Dense Prediction

Y. Li†, Z. Ye†, Z. Cong†, S. Yan, S. Wang, N. Lin, J. Yue*, X. Qi*, Z. Wang*, H. Wang*

ACM/IEEE Design Automation Conference (DAC)

DAC 2026

AgeBalance: Low-Cost Lifetime Extension for SRAM-based PIM Accelerators

N. Lin, S. Wang, Y. Zhao, Y. He, S. Wang, K. Wong, R. Fu, W. Li, T.-Y. Ho, D. Shang, X. Qi, X. Chen, Z. Wang

IEEE Transactions on Computers, vol. 75, no. 8, pp. 2870–2884

IEEE TC 2026

Parameter Efficient Machine Unlearning on Hybrid Resistive Memory based Compute-in-Memory Accelerators

N. Lin†, J. Yang†, Y. He†, Z. Ye, K. Wong, X. Zhang, S. Wang, Z. Li, Y. Chen, J. Zha, W. Li, Y. Li, K. Xu, L. Y. Zhang, X. Chen, D. Shang, C. Tan, H. Wang*, X. Qi*, Z. Wang*

arXiv:2601.10037

arXiv 2026

A Monolithic Reconfigurable RRAM CIM Chip for Edge AI

S. Wang†, S. Liang†, S. Wu†, Z. Yang, J. Yang, X. Zhang, Y. Li, Y. Zhang*, Z. Wang*, A. Zhang*, H. Wang*

IEEE International Electron Devices Meeting (IEDM), pp. 1–4

IEDM 2025

Brain-Inspired In-Memory Data Pruning and Computing with TaOx Mem-Selectors

Y. Li†, J. Lai†, S. Wang, N. Lin, X. Zheng, W. Sun, D. Dong, X. Xu, H. Ma, F. Zhang, X. Qi, Z. Wang*, X. Xu*, D. Shang*, H. Wang, M. Liu

Advanced Materials, vol. 37, no. 43, e02168

Adv. Mater. 2025

Resistive memory-based zero-shot liquid state machine for multimodal event data learning

N. Lin†, S. Wang†, Y. Li†, B. Wang, S. Shi, Y. He, W. Zhang, Y. Yu, Y. Zhang, X. Zhang, K. Wong, S. Wang, X. Chen, H. Jiang, X. Zhang, P. Lin, X. Xu, X. Qi, Z. Wang*, D. Shang*, Q. Liu, M. Liu

Nature Computational Science, vol. 5, pp. 37–47

Nat. Comput. Sci. 2025

Topology Optimization of Random Memristors for Input-Aware Dynamic SNN

B. Wang, X. Zhang, S. Wang, N. Lin, Y. Li, Y. Yu, Y. Zhang, J. Yang, X. Wu, Y. He, S. Wang, T. Wan, R. Chen, G. Li, Y. Deng, X. Qi*, Z. Wang*, D. Shang*

Science Advances, vol. 11, no. 16, p. eads5340

Sci. Adv. 2025

Continuous-time digital twin with analog memristive neural ordinary differential equation solver

H. Chen†, J. Yang†, J. Chen*†, S. Wang, S. Wang, D. Wang, X. Tian, Y. Yu, X. Chen, Y. Lin, Q. Zhu, Y. He, X. Wu, Y. Li, X. Zhang, N. Lin, M. Xu, Y. Li, X. Zhang, X. Qi, Z. Wang*, H. Wang*, D. Shang*, Q. Liu, K.-T. Cheng, M. Liu

Science Advances, vol. 11, no. 22, p. eadr7571

Sci. Adv. 2025

A Reliable, Reconfigurable 3T2R ReRAM-based Chip

N. Lin†, Y. Li†, Y. He†, S. Wang, H. Chen, K. Wong, C. Li, J. Yang, Y. Yu, M. Xu, Y. Han, R. Chen, X. Chen, X. Xu, J. Yang, D. Shang*, Z. Wang*

ACM/IEEE Design Automation Conference (DAC), pp. 1–7

DAC 2025

Efficient Edge Vision Transformer Accelerator with Decoupled Chunk Attention and Hybrid Computing-In-Memory

Y. Li†, Z. Ye†, X. Fu†, S. Wang, S. Du, N. Lin, D. Shang, J. Yue*, Z. Wang*, X. Qi*, F. Zhang*, H. Wang

ACM/IEEE Design Automation Conference (DAC), pp. 1–7

DAC 2025

Tunable Neuromorphic Computing for Dynamic Multi-Timescale Sensing in Motion Recognition

R. Bie†, X. Chen†, Z. Yang†, D. An, Y. Yu, Q. Zhang, C. Li, Z. Zhang, D. Wang, J. Yang, S. Wang, B. Cui, D. Yang, L. Hu*, Z. Wang*, L. Sun*

Cyborg and Bionic Systems, vol. 6, 0412

Cyborg Bionic Syst. 2025

LSMR: Synergy Randomness in Liquid State Machine and RRAM-based Analog-digital Accelerator

N. Lin†, S. Wang†, X. Zhang†, S. Wang, Y. He, W. Zhang, B. Wang, J. Li, M. Li, B. Cui, Y. Li, J. Chen, C. Xia, W. Xuan, X. Chen, D. Shang*, Z. Wang*

IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 1–9

ICCAD 2024

SNNGX: Spiking Neural Networks on RRAM-based Neuromorphic Accelerator

K. Wong†, S. Wang†, W. Huang, X. Zhang, Y. He, K. M. H. Lai, Y. Jiao, N. Lin*, X. Qi, X. Chen*, Z. Wang*

IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 1–9

ICCAD 2024

Conditional Diffusion Model Acceleration with First-Demonstrated RRAM-Based In-Memory Neural Differential Equation Solver

J. Yang†, H. Chen†, J. Chen, S. Wang, S. Wang, Y. Yu, B. Wang, N. Lin, X. Zhang, R. Chen, Z. Wang*, D. Shang*, H. Wang*, Q. Liu, M. Liu

IEEE International Electron Devices Meeting (IEDM), pp. 1–4

IEDM 2024

Random memristor-based dynamic graph CNN for efficient point cloud learning at the edge

Y. Yu, S. Wang, M. Xu, W. Zhang, B. Wang, J. Yang, S. Wang, Y. Zhang, X. Wu, H. Chen, D. Wang, X. Chen, N. Lin, X. Qi, D. Shang*, Z. Wang*

npj Unconventional Computing, vol. 1, no. 1, p. 6

npj Unconv. Comput. 2024

Echo State Graph Neural Networks with Analogue Random Resistive Memory Arrays

S. Wang†, Y. Li†, D. Wang, W. Zhang, X. Chen, D. Dong, S. Wang, X. Zhang, P. Lin, C. Gallicchio, X. Xu, Q. Liu, K.-T. Cheng, Z. Wang*, D. Shang*, M. Liu

Nature Machine Intelligence, vol. 5, no. 2, pp. 104–113

Nat. Mach. Intell. 2023

† equal contribution · * corresponding author