About me

This is Fengshi’s homepage!

Hi, there! This is Fengshi Tian, a PhD candidate of Dept. ECE at HKUST supervised by Prof. Tim CHENG (VP-R&D, former Dean of SENG, Chair Professor, FHKAES, FIEEE) & Prof. Chi-Ying TSUI (Founding Head of ISD Division, SMIEEE). I also serve as a Doctoral Researcher at AI Chip Center for Emerging Smart Systems (ACCESS). I obtained my B.Eng. in Microelectronics from Fudan University in 2021, supervised by Prof. Xiaoyong Xue.

I was a visiting research student at CenBRAIN Neurotech, Westlake University working with Prof. Mohamad SAWAN (Chair Professor, FRSC, FIEEE, FCAE, FEIC, O.Q) & Dr. Jie YANG from 2020 to 2021. I ever worked as Research Assistant in CIME and SKL of ASIC & System at Fudan University, advised by Prof. Wei Chen and Prof. Xiaoyong Xue, respectively. I ever held positions in investing business and IC industry. My current research interests lie in Neuromorphic Computing and AI chip design. Please feel free to contact me if you have any interests in my research. Emails: fengshi.tian@connect.ust.hk & fengshi.tian@ieee.org

My future goal is to become a scientist in the fields of intelligient computing systems. I will always focus on the emerging fields of efficient intelligence and chase the most cutting-edge technology.

==========NEWS===========

[2024-11-18] One paper, ‘An Energy-Efficient Unstructured Sparsity-Aware Deep SNN Accelerator with 3D Computation Array’, has been accepted to IEEE JSSC🎉!

[2024-11-13] One paper, ‘SynDCIM: A Performance-Aware Digital Computing-in-Memory Compiler with Multi-Spec-Oriented Subcircuit Synthesis’, has been accepted to IEEE DATE 2025🎉!

[2024-11-11] One paper, ‘BioPI: An Energy Efficient and Low-Latency Neuromorphic Pipelined System with Joint Design Optimizations of Sensor-Algorithm-Processor for Wearable Healthcare’, has been accepted to IEEE TCASAI🎉!

[2024-10-20] One paper, ‘A 28nm 0.22μJ/Token Memory-Compute-Intensity-Aware CNN-Transformer Accelerator with Hybrid-Attention-Based Layer-Fusion and Cascaded Pruning for Semantic-Segmentation’, has been accepted to IEEE ISSCC 2025🎉!

[2024-06-29] One paper, ‘ReSCIM: Variation-Resilient High Weight-Loading Bandwidth In-Memory Computation Based on Fine-Grained Hybrid Integration of Multi-Level ReRAM and SRAM Cells’, has been accepted to IEEE ICCAD 2024🎉!

[2024-04-13] One paper, ‘HybMED: A Hybrid Neural Network Training Processor with Multi-Sparsity Exploitation for Internet of Medical Things’, has been accepted to IEEE TBioCAS🎉!

[2024-02-27] One poster, ‘ReS-CIM: ReRAM-cached SRAM Compute-in-Memory Architecture with a Differential Sensing Scheme Enabling Intra-Macro Weight Loading’, has been accepted to ACM/IEEE DAC 2024 Work-in-Progress Session🎉!

[2024-02-14] One paper, ‘NeuroSORT: a Neuromorphic Accelerator for Spike-Based Online and Real-Time Tracking’, has been accepted to IEEE AICAS 2024🎉!

[2024-01-16] Three papers, ‘BOLS: a Bionic Sensor-Direct On-Chip Learning System with Direct-Feedback-Through-Time for Personalized Wearable Health Monitoring’, ‘Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture’, and ‘A Low-Power Level-Crossing Analog-to-Spike Converter Intended for Neuromorphic Biomedical Applications’ have been accepted to IEEE ISCAS 2024🎉!

[2024-01-06] Two papers, ‘A 0.078 pJ/SOP Unstructured Sparsity-Aware Spiking Attention/Convolution Processor with 3D Compute Array’, and ‘A Neuron-Inspired 0.0032mm2-1.38μW/Ch Wireless Implantable Neural Interface with Direct Multiplexing Front-End and Event-Driven Spike Detection and Transmission’ have been accepted to IEEE CICC 2024🎉!

[2023-09-28] One paper, ‘Tempo-CIM: A RRAM Compute-in-Memory Neuromorphic Accelerator with Area-Efficient LIF Neuron and Split-Train-Merged-Inference Algorithm for Edge AI Applications’, has been accepted to IEEE JETCAS🎉!

[2023-08-14] Three papers, ‘NOLS: a Near-Sensor On-Chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring’, ‘A Clockless Robust Bionic Spike Detector for Implantable Brain-Computer Interfaces’, and ‘NMBNN: Noise-Adaptive Memristive Bayesian Neural Network for Energy-Efficient Edge Health Care’ have been accepted to IEEE BIOCAS 2023🎉!

[2023-06-13] We win the 🥇First Place Best Paper Award🥇 of IEEE AICAS 2023! Thanks to all the co-authors of the paper (‘Binary Is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System’)🎉!

[2023-05-24] One paper, ‘BIOS: a 40nm Bionic Sensor-Defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare’, has been accepted to IEEE ESSDERC/ESSCIRC 2023🎉!

[2023-05-18] One paper, ‘A 510µW 0.738-mm2 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor with Unified Computation Engine in 40-nm CMOS’, has been accepted to IEEE TBioCAS🎉!

[2023-05-04] One paper ‘Weight Decay is ALL You Need for Neural Network Sparsification’, has been accepted to ACM/IEEE DAC 2023 Late-Breaking-News Session🎉!

[2023-04-03] Five papers, ‘Binary Is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System’, ‘SNNOpt: an Application-Specific Design Framework for Spiking Neural Networks’, ‘NeuroBMI: a New Neuromorphic Implantable Wireless Brain Machine Interface with a 0.48 uW Event-Driven Noise-Tolerant Spike Detector’, ‘Novel Knowledge Distillation to Improve Training Accuracy of Spin-Based SNN’, and ‘An Energy-Efficient Network Interconnection Structure with Pruned Node-fusion Tree-based Multicast Scheme for Neuromorphic Systems’ have been accepted to IEEE AICAS 2023🎉!

[2023-01-21] One poster, ‘Neuromorphic System-on-Chip Towards Efficient Edge Healthcare’, has been accepted to ACM/IEEE DAC 2023 Work-in-Progress Session🎉!

[2023-01-20] One paper, ‘AutoDCIM: An Automated Digital CIM Compiler’, has been accepted to ACM/IEEE DAC 2023🎉!

[2023-01-20] One paper, ‘NBSSN: a Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence’, has been accepted to IEEE ISCAS 2023🎉!

[2023-01-03] One paper, ‘NeuroCARE: A Generic Neuromorphic Edge Computing Framework for Healthcare Applications’, has been accepted to Frontiers in Neuroscience, section Neuroprosthetics🎉!

[2022-12-10] I officially pass my PhD Qualification Exam and become a PhD Candidate🎉!

[2022-08-01] One paper, ‘A 217.8 MSOPs/W FPGA-based Online Learning SNN Processor Using Unified Event-Driven Structure and Topology Aware Data Reuse Strategies’, has been accepted to IEEE ASSCC 2022🎉!

[2022-04-12] I am selected as winner of IEEE ISCAS Student Participation Grant 2022🎉!

[2022-03-25] Two papers, ‘TAC-RAM: A 65nm 4Kb SRAM Computing-in-Memory Design with 57.55 TOPS/W supporting Multibit Matrix-Vector Multiplication for Binarized Neural Network’ and ‘Real-time Biosignal Recording and Machine-Learning Analysis System’, have been accepted to IEEE AICAS 2022🎉!

[2022-01-15] Three papers,’NIMBLE: A Neuromorphic Learning Scheme and Memristor Based Computing-in-Memory Engine for EMG Based Hand Gesture Recognition’, ‘An Event-Driven Compressive Neuromorphic System for Cardiac Arrhythmia Detection’, and ‘A Compact Online-Learning Spiking Neuromorphic Biosignal Processor’, have been accepted to IEEE ISCAS 2022🎉!

[2021-11-22] One paper ‘MSPAN: A Memristive Spike-based Computing Engine with Adaptive Neuron for Edge Arrhythmia Detection’ has been accepted to Frontiers in Neuroscience, section Neuromorphic Engineering🎉!

[2021-09-01] I complete my visiting at CenBRAIN NeuroTech, Westlake University and join the AI Chip Center for Emerging Smart System (ACCESS), HKUST as a PhD student🎉!

[2021-06-30] I obtain my B.Eng. degree in Microelectronics Science and Engineering from Fudan University🎉!

[2021-01-31] One paper ‘A New Neuromorphic Computing Approach for Epileptic Seizure Prediction’ has been accepted to IEEE ISCAS 2021, which is also my first paper🎉!

[2020-07-20] I join CenBRAIN NeuroTech, Westlake University as a visiting student🎉!

[2020-06-01] I build my own homepage🎉!