Jian Meng

Jian Meng

Ph.D. candidate @ Cornell / Passionate researcher / Mediocre basketball player.

CV

Education

Work experience

Skills

Publications

[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.

[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.

[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.

[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.

[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) [Best IP (Interactive Presentations) Paper Award]

[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.

[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.

[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].

[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.

[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 Hardware Research Forum].

[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.

[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.

[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.

[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.

[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.

[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.

Talks

Teaching

Service and leadership