Yaw error correction of ultra-precision stage for scanning beam interference lithography systems. - Sen Lu; Kaiming Yang; Yu Zhu 001; Leijie Wang; Ming Zhang 014; Jin Yang (J. Syst. Control. Eng., 2018)

All-Spin Bayesian Neural Networks. - Kezhou Yang; Akul Malhotra; Sen Lu; Abhronil Sengupta (CoRR, 2019)

Exploiting Oxide Based Resistive RAM Variability for Probabilistic AI Hardware Design. - Akul Malhotra; Sen Lu; Kezhou Yang; Abhronil Sengupta (CoRR, 2019)

NEBULA: A Neuromorphic Spin-Based Ultra-Low Power Architecture for SNNs and ANNs. - Sonali Singh; Anup Sarma; Nicholas Jao; Ashutosh Pattnaik; Sen Lu; Kezhou Yang; Abhronil Sengupta; Vijaykrishnan Narayanan; Chita R. Das (ISCA, 2020)

Exploring the Connection Between Binary and Spiking Neural Networks. - Sen Lu; Abhronil Sengupta (CoRR, 2020)

On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs. - Mehul Rastogi; Sen Lu; Abhronil Sengupta (CoRR, 2020)

Gesture-SNN: Co-optimizing accuracy, latency and energy of SNNs for neuromorphic vision sensors. - Sonali Singh; Anup Sarma; Sen Lu; Abhronil Sengupta; Vijaykrishnan Narayanan; Chita R. Das (ISLPED, 2021)

Power System Disturbance Classification With Online Event-Driven Neuromorphic Computing. - Kaveri Mahapatra; Sen Lu; Abhronil Sengupta; Nilanjan Ray Chaudhuri (IEEE Trans. Smart Grid, 2021)

Hybrid Neuromorphic Systems: An Algorithm-Application-Hardware-Neuroscience Co-Design Perspective: Invited Special Session Paper. - Sen Lu; Abhronil Sengupta (AICAS, 2022)

Skipper: Enabling efficient SNN training through activation-checkpointing and time-skipping. - Sonali Singh; Anup Sarma; Sen Lu; Abhronil Sengupta; Mahmut T. Kandemir; Emre Neftci; Vijaykrishnan Narayanan; Chita R. Das (MICRO, 2022)

Device Feasibility Analysis of Multi-level FeFETs for Neuromorphic Computing. - Arnob Saha; Bibhas Manna; Sen Lu; Zhouhang Jiang; Kai Ni 004; Abhronil Sengupta (AICAS, 2024)

Stochastic Spiking Neural Networks with First-to-Spike Coding. - Yi Jiang; Sen Lu; Abhronil Sengupta (ICONS, 2024)

Deep unsupervised learning using spike-timing-dependent plasticity. - Sen Lu; Abhronil Sengupta (Neuromorph. Comput. Eng., 2024)

Benchmarking Spiking Neural Network Learning Methods With Varying Locality. - Jiaqi Lin; Sen Lu; Malyaban Bal; Abhronil Sengupta (IEEE Access, 2025)

Development of Overlay Target's Centre Positioning Algorithms Using Customizable Shape Fitting for High-Precision Wafer Bonding. - Rui Wang; Yixian Zhu; Sen Lu; Kaiming Yang; Yu Zhu (IET Image Process., 2025)

State Space Models Naturally Produce Traveling Waves, Time Cells, and Scale to Abstract Cognitive Functions. - Sen Lu; Xiaoyu Zhang; Mingtao Hu; Eric Yeu-Jer Lee; Soohyeon Kim; Wei D. Lu (CoRR, 2025)

Neuromorphic Cybersecurity with Semi-supervised Lifelong Learning. - Md Zesun Ahmed Mia; Malyaban Bal; Sen Lu; George M. Nishibuchi; Suhas Chelian; Srini Vasan; Abhronil Sengupta (CoRR, 2025)