Publications

Journal Publications

[Front NeuralSci’24] Ahmed Hasssan, Jian Meng, Anupreetham, and Jae-sun Seo, “SpQuant-SNN: Ultra-low Precision Membrane Potential with Sparse Activations Unlock the Potential of On-device Spiking Neural Networks Applications,” Frontiers of Neuroscience, 2024.

[ACM TRET] Han-sok Suh, Jian Meng, Ty Nguyen, Vijay Kumar, Yu Cao, and Jae-sun Seo, “Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA”, ACM Transactions on Reconfigurable Technology and Systems.

[IEEE JSSC] Shreyas Kolala Venkataramanaiah, Jian Meng, Han-Sok Suh, Injune Yeo, Jyotishman Saikia, Sai Kiran Cherupally, Yichi Zhang, Zhiru Zhang, Jae-Sun Seo, “A 28-nm 8-bit Floating-Point Tensor Core-Based Programmable CNN Training Processor With Dynamic Structured Sparsity”, IEEE Journal of Solid-State Circuits, vol. 58, no.7, 2023 (link)

[2D Materials] Sahra Afshari, Sritharini Radhakrishnan, Jing Xie, Mirembe Musisi-Nkambwe, Jian Meng, Wangxin He, Jae-sun Seo, Ivan Sanchez Esqueda, “Dot-product computation and logistic regression with 2D hexagonal-Boron Nitride (h-BN) memristor arrays”, 2D Materials, vol.10, no.3, 2023 (link)

[IEEE SSCM] Jae-sun Seo, Jyotishman Saikia, Jian Meng, Wangxin He, Han-sok Suh, Anupreetham, Yuan Liao, Ahmed Hasssan, and Injune Yeo, “Advances in Digital vs. Analog AI Accelerators,” IEEE Solid-State Circuits Magazine, 2022

[IEEE D&T] Sai Kiran Cherupally, Jian Meng, Adnan Siraj Rakin, Shihui Yin, Mingoo Seok, Deliang Fan, and Jae-sun Seo, “Improving DNN Hardware Accuracy by In-Memory Computing Noise Injection,” IEEE Design & Test, 2022. (link)

[IEEE JETCAS] Arnab Neelim Mazumder, Jian Meng, Hasib-Al Rashid, Utteja Kallakuri, Xin Zhang, Jae-sun Seo, and Tinoosh Mohsenin, “A Survey on the Optimization of Neural Network Accelerators for Micro-AI On-Device Inference,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), vol. 11, no. 4, pp. 532-547, December 2021. (link)

[IEEE MICRO] Jian Meng, Wonbo Shim, Li Yang, Injune Yeo, Deliang Fan, Shimeng Yu, and Jae-sun Seo, “Temperature-Resilient RRAM-based In-Memory Computing for DNN Inference,” IEEE Micro, vol. 42, no. 1, pp. 89-98, January/February 2022. [Invited to IBM AI Hardware Research Forum]. (link) [poster]

[SST] Sai Kiran Cherupally, Jian Meng, Adnan Rakin, Shihui Yin, Injune Yeo, Shimeng Yu, Deliang Fan, and Jae-sun Seo, “Improving the Accuracy and Robustness of RRAM-based In-Memory Computing Against RRAM Hardware Noise and Adversarial Attacks,” Semiconductor Science and Technology, vol. 37, no. 3, January 2022. [Special Issue on Neuromorphic Devices and Applications] (link)

[IEEE TCAS-II] Jian Meng, Li Yang, Xiaochen Peng, Shimeng Yu, Deliang Fan, and Jae-sun Seo, “Structured Pruning of RRAM Crossbars for Efficient In-Memory Computing Acceleration of Deep Neural Networks,” IEEE Transactions on Circuits and Systems II (TCAS-II), vol. 68, no. 5, pp. 1576-1580, May 2021. (link)

Conference Publications

*= Equal contribution [CVPR’25] Jian Meng, Ahmed Hasssan, Li Yang, Deliang Fan, Jinwoo Shin, and Jae-sun Seo, “Closest Neighbors are Harmful for Lightweight Masked Auto-encoders,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.

[ISCAS’25] Han-sok Suh, Jian Meng, and Jae-sun Seo, “Low-Precision Normalization Algorithm and Accelerator for Neural Network Training,” IEEE International Symposium on Circuits and Systems (ISCAS), 2025.

[CICC’25] Xiaofeng Hu*, HanGyeol Mun*, Jian Meng, Yuan Liao, Amitesh Sridharan, and Jae-sun Seo, “A 28nm 20.9-137.2 TOPS/W Output-Stationary SRAM Compute-in-Memory Macro Featuring Dynamic Look-ahead Zero Weight Skipping and Runtime Partial Sum Quantization,” IEEE Custom Integrated Circuits Conference (CICC), 2025.

[ICASSP’25] Ahmed Hasssan, Anupreetham Anupreetham, Jian Meng, and Jae-sun Seo, “Quant-NeRF: Efficient End-to-End Quantization of Neural Radiance Fields with Low-Precision 3D Gaussian Representation,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.

[ECCV’24] Jian Meng, Yuecheng Li, Chenghui Li, Syed Shakib Sarwar, Dilin Wang, and Jae-sun Seo, “POCA: Post-training Quantization with Temporal Alignment for Codec Avatars,” ECCV, 2024. [Collaborated with Meta Reality Lab].

[MICRO’25] Yuzong Chen, Jian Meng, Jae-sun Seo, and Mohamed Abdelfattah, “BBS: Bi-directional Bit-level Sparsity for Deep Learning Acceleration,” IEEE/ACM International Symposium on Microarchitecture (MICRO), 2024.

[IJCNN’24] Ahmed Hasssan, Jian Meng, and Jae-sun Seo, “Spiking Neural Network with Learnable Threshold for Event-Based Classification and Object Detection,” IEEE International Joint Conference on Neural Networks (IJCNN).

[ICONS’24] Ahmed Hasssan, Jian Meng, Anupreetham and Jae-sun Seo, “IM-SNN: Memory-Efficient Spiking Neural Network with Low-Precision Membrane Potentials and Weights,” ACM International Conference on Neuromorphic Systems (ICONS), 2024.

[ISLPED’24] Yuan Liao, Jian Meng and Jae-sun Seo, “A 28nm Scalable and Flexible Accelerator for Sparse Transformer Models,” ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), 2024. [Best Paper Candidate]

[MLSys’24] Jian Meng, Yuan Liao, Anupreetham Anupreetham, Ahmed Hasssan, Shixing Yu, Han-sok Suh, Xiaofeng Hu, and Jae-sun Seo, “Torch2Chip: An End-to-end Customizable Deep Neural Network Compression and Deployment Toolkit for Prototype Hardware Accelerator Design”, The Seventh Annual Conference on Machine Learning and Systems, 2024.

[NeurIPS’23] Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan, Jae-sun Seo, “Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training”, Thirty-Seventh Conference on Neural Information Processing Systems, 2023.

[DATE’23] Wangxin He, Jian Meng, Sujan Kumar Gonugondla, Shimeng Yu, Naresh R. Shanbhag, and Jae-sun Seo, “PRIVE: Efficient RRAM Programming with Chip Verification for RRAM-based In-Memory Computing Acceleration”, Design, Automation and Test in Europe Conference (DATE), 2023.

[Asilomar’22] Ahmed Hasssan, Jian Meng, Yu Cao, and Jae-sun Seo, “Spatial-temporal data compression of dynamic vision sensor output with high pixel-level saliency using low-precision sparse autoencoder”, Asilomar Conference on Signals, Systems, and Computers, 2022.

[ESWEEK’22] Gokul Krishnan, Zhenyu Wang, Injune Yeo, Li Yang, Jian Meng, Maximilian Liehr, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, and Yu Cao, “Hybrid RRAM/SRAM In-Memory Computing for Robust DNN Acceleration,” International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Embedded Systems Week (ESWEEK), 2022.

[ICSICT’22] Gokul Krishnan, Zhenyu Wang, Li Yang, Injune Yeo, Jian Meng, Rajiv V. Joshi, Nathaniel C. Cady, Deliang Fan, Jae-sun Seo, and Yu Cao, “Hybrid IMC Architecture for Robust DNN Acceleration,” IEEE International Conference on Solid-State and Integrated CIrcuit Technology (ICSICT), 2022.

[NeurIPS’22] Jian Meng*, Li Yang* , Deliang Fan, Jae-sun Seo, “Get More at Once: Alternating Sparse Training with Gradient Correction”, Thirty-Sixth Conference on Neural Information Processing Systems, 2022.

[ESSCIRC’22] Shreyas K. Venkataramanaiah, Jian Meng, Han-Sok Suh, Injune Yeo, Jyotishman Saikia, Sai Kiran Cherupally, Yichi Zhang, Zhiru Zhang, and Jae-sun Seo, “A 28nm 8-bit Floating-Point Tensor Core based CNN Training Processor with Dynamic Activation/Weight Sparsification,” IEEE European Solid-State Circuits Conference (ESSCIRC), 2022.

[CVPR’22] Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, and Jae-sun Seo, “Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (link)[poster] [Invited to IBM AI Hardware Research Forum].

[DAC’22] Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao, and Deliang Fan, “XMA: A Crossbar-aware Multi-task Adaption Framework via Shift-based Mask Learning Method,” ACM/IEEE Design Automation Conference (DAC), 2022.

[IRPS’22] Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, and Jae-sun Seo “Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference” (IRPS), 2022. (link)

[CICC’22] Bo Zhang, Jyotishman Saikia, Jian Meng, Dewei Wang, Soonwan Kwon, Sungmeen Myung, Hyunsoo Kim, Sang Joon Kim, Jae-sun Seo, and Mingoo Seok, “A 177 TOPS/W, Capacitor-based In-Memory Computing SRAM Macro with Stepwise-Charging/Discharging DACs and Sparsity-Optimized Bitcells for 4-Bit Deep Convolutional Neural Networks,” IEEE Custom Integrated Circuits Conference (CICC), 2022. (link)

[IRPS’22] Jian Meng, Injune Yeo, Wonbo Shim, Li Yang, Deliang Fan, Shimeng Yu, and Jae-sun Seo, “Sparse and Robust RRAM-based Efficient In-memory Computing for DNN Inference,” IEEE International Reliability Physics Symposium (IRPS), 2022. (link)

[DATE’22] Fan Zhang, Li Yang, Jian Meng, Jae-sun Seo, Yu Cao and Deliang Fan, “XST: A Crossbar Column-wise Sparse Training for Efficient Continual Learning,” IEEE Design, Automation & Test in Europe (DATE), 2022. [Best IP (Interactive Presentations) Paper Award].(link)

[ASP-DAC’22] Fan Zhang, Li Yang, Jian Meng, Yu Cao, Jae-sun Seo, and Deliang Fan, “XBM: A Crossbar Column-wise Binary Mask Learning Method for Efficient Multiple Task Adaption,” IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC), 2022. (link)

[FPT’21] Han-sok Suh, Jian Meng, Ty Nguyen, Shreyas K. Venkataramanaiah, Vijay Kumar, Yu Cao, and Jae-sun Seo, “Algorithm-Hardware Co-Optimization for Energy-Efficient Drone Detection on Resource-Constrained FPGA,” IEEE International Conference on Field-Programmable Technology (FPT), 2021. (link)

[FPL’21] Jian Meng, Shreyas Kolala Venkataramanaiah, Chuteng Zhou, Patrick Hansen, Paul Whatmough and Jae-sun Seo, “FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access”, International Conference on Field Programmable Logic and Applications (FPL), 2021. (link)

[IRPS’21] Wonbo Shim, Jian Meng, Xiaochen Peng, Jae-sun Seo, and Shimeng Yu, “Impact of Multilevel Retention Characteristics on RRAM based DNN Inference Engine,” IEEE International Reliability Physics Symposium (IRPS), 2021. (link)

[DATE’21] Jyotishman Saikia, Shihui Yin, Bo Zhang, Jian Meng, Mingoo Seok and Jae-sun Seo, “Modeling and Optimization of SRAM-based In-Memory Computing Hardware Design,” IEEE Design, Automation & Test in Europe (DATE), February 2021. (link)

[INTERSPEECH’20] Deepak Kadetotad, Jian Meng, Visar Berisha, Chaitali Chakrabarti, and Jae-sun Seo, “Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity,” INTERSPEECH, 2020. (link)