Kaisheng Ma

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 108

Top Venues

Publications

Zhanhong Tan, Zijian Zhu, Kaisheng Ma
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR (2024)
Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma
Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. CoRR (2023)
Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma
CORSD: Class-Oriented Relational Self Distillation. CoRR (2023)
Jingwei Cai, Yuchen Wei, Zuotong Wu, Sen Peng, Kaisheng Ma
Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators. ISCA (2023)
Zhanhong Tan, Yifu Wu, Yannian Zhang, Haobing Shi, Wuke Zhang, Kaisheng Ma
A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration. HCS (2023)
Linfeng Zhang, Kaisheng Ma
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV (2023)
Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Junbo Zhang, Runpei Dong, Kaisheng Ma
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP. CoRR (2023)
Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs. ICLR (2023)
Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining. CoRR (2023)
Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi
Language-Assisted 3D Feature Learning for Semantic Scene Understanding. AAAI (2023)
Linfeng Zhang, Kaisheng Ma
Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Yinxiao Feng, Dong Xiang, Kaisheng Ma
Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems. MICRO (2023)
Runpei Dong, Chunrui Han, Yuang Peng, Zekun Qi, Zheng Ge, Jinrong Yang, Liang Zhao, Jianjian Sun, Hongyu Zhou, Haoran Wei, Xiangwen Kong, Xiangyu Zhang, Kaisheng Ma, Li Yi
DreamLLM: Synergistic Multimodal Comprehension and Creation. CoRR (2023)
Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC (2023)
Guiming Shi, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Wuke Zhang, Yifu Wu, Kaisheng Ma
A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing. ISSCC (2023)
Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? ICLR (2023)
Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation. NeurIPS (2023)
Guofan Fan, Zekun Qi, Wenkai Shi, Kaisheng Ma
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast. CoRR (2023)
Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs. CoRR (2023)
Muzhou Yu, Linfeng Zhang, Kaisheng Ma
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. CoRR (2023)
Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining. ICML (2023)
Linfeng Zhang, Kaisheng Ma
A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective. IEEE Trans. Circuits Syst. Video Technol. 33 (5) (2023)
Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation. CoRR (2023)
Linfeng Zhang, Yukang Shi, Ke Wang, Zhipeng Zhang, Hung-Shuo Tai, Yuan He, Kaisheng Ma
Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection. BMVC (2023)
Tongda Wu, Kaisheng Ma, Jingtong Hu, Jason Xue, Jinyang Li, Xin Shi, Huazhong Yang, Yongpan Liu
Reliable and Efficient Parallel Checkpointing Framework for Nonvolatile Processor With Concurrent Peripherals. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (1) (2023)
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR (2023)
Muzhou Yu, Linfeng Zhang, Kaisheng Ma
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. IJCNN (2023)
Yinxiao Feng, Dong Xiang, Kaisheng Ma
A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets. HPCA (2023)
Guiming Shi, Yi Li, Xueqiang Wang, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Yuchen Wei, Zehua Li, Wuke Zhang, Yifu Wu, Wei Xu, Kaisheng Ma
PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing. HCS (2023)
Junbo Zhang, Runpei Dong, Kaisheng Ma
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP. ICCV (Workshops) (2023)
Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. CoRR (2022)
Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi
Language-Assisted 3D Feature Learning for Semantic Scene Understanding. CoRR (2022)
Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CoRR (2022)
Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer
Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. CVPR Workshops (2022)
Junbo Zhang, Kaisheng Ma
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. CVPR (2022)
Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
Contrastive Deep Supervision. CoRR (2022)
Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CVPR (2022)
Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma
Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? CoRR (2022)
Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. CoRR (2022)
Linfeng Zhang, Chenglong Bao, Kaisheng Ma
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44 (8) (2022)
Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma
Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection. CoRR (2022)
Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CoRR (2022)
Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML (2022)
Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma
Unsupervised Deep Learning Meets Chan-Vese Model. CoRR (2022)
Hongyang Chen, Kaisheng Ma
LW-ISP: A Lightweight Model with ISP and Deep Learning. CoRR (2022)
Yinxiao Feng, Kaisheng Ma
Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration. CoRR (2022)
Yukang Shi, Kaisheng Ma
SAFIT: Segmentation-Aware Scene Flow with Improved Transformer. ICRA (2022)
Kailu Wu, Chung-Kuei Lee, Kaisheng Ma
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution. ICML (2022)
Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip. DAC (2022)
Hongyang Chen, Kaisheng Ma
LW-ISP: A Lightweight Model with ISP and Deep Learning. BMVC (2022)
Yinxiao Feng, Kaisheng Ma
Chiplet actuary: a quantitative cost model and multi-chiplet architecture exploration. DAC (2022)
Junbo Zhang, Kaisheng Ma
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. CoRR (2022)
Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip. CoRR (2022)
Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
Contrastive Deep Supervision. ECCV (26) (2022)
Sia Huat Tan, Runpei Dong, Kaisheng Ma
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. CoRR (2021)
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
AFEC: Active Forgetting of Negative Transfer in Continual Learning. CoRR (2021)
Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA (2021)
Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma
/W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units. CICC (2021)
Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
An Unsupervised Deep Learning Approach for Real-World Image Denoising. ICLR (2021)
Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS (2021)
Sia Huat Tan, Runpei Dong, Kaisheng Ma
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. BMVC (2021)
Linfeng Zhang, Kaisheng Ma
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR (2021)
Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN (2021)
Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR (2021)
Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
Auxiliary Training: Towards Accurate and Robust Models. CVPR (2020)
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR (2020)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR (2020)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) (2020)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR (2020)
Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Task-Oriented Feature Distillation. NeurIPS (2020)
Keni Qiu, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, Vijaykrishnan Narayanan
Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems. ACM Great Lakes Symposium on VLSI (2020)
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI (2020)
Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC (2020)
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS (2019)
Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
Adversarial Robustness vs. Model Compression, or Both? ICCV (2019)
Yanzhi Wang, Shaokai Ye, Zhezhi He, Xiaolong Ma, Linfeng Zhang, Sheng Lin, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma
Non-structured DNN Weight Pruning Considered Harmful. CoRR (2019)
Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma
Gated Contiguous Memory U-Net for Single Image Dehazing. ICONIP (2) (2019)
Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV (2019)
Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
Second Rethinking of Network Pruning in the Adversarial Setting. CoRR (2019)
Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma
Brain-inspired reverse adversarial examples. CoRR (2019)
Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR (2019)
Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR (2019)
Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang
Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR (2019)
Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. CoRR (2019)
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. CoRR (2019)
Xueqing Li, Juejian Wu, Kai Ni, Sumitha George, Kaisheng Ma, John Sampson, Sumeet Kumar Gupta, Yongpan Liu, Huazhong Yang, Suman Datta, Vijaykrishnan Narayanan
Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs. IEEE Des. Test 36 (3) (2019)
Kaisheng Ma, Xueqing Li, Mahmut Taylan Kandemir, Jack Sampson, Vijaykrishnan Narayanan, Jinyang Li, Tongda Wu, Zhibo Wang, Yongpan Liu, Yuan Xie
NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing. ASPLOS (2018)
Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta
Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems. ISLPED (2018)
Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan
IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors. IEEE Micro 38 (4) (2018)
Sumitha George, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan
Symmetric 2-D-Memory Access to Multidimensional Data. IEEE Trans. Very Large Scale Integr. Syst. 26 (6) (2018)
Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan
Spendthrift: Machine learning based resource and frequency scaling for ambient energy harvesting nonvolatile processors. ASP-DAC (2017)
Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
Incidental computing on IoT nonvolatile processors. MICRO (2017)
Kaisheng Ma, Xueqing Li, Huichu Liu, Xiao Sheng, Yiqun Wang, Karthik Swaminathan, Yongpan Liu, Yuan Xie, John Sampson, Vijaykrishnan Narayanan
Dynamic Power and Energy Management for Energy Harvesting Nonvolatile Processor Systems. ACM Trans. Embed. Comput. Syst. 16 (4) (2017)
Fang Su, Kaisheng Ma, Xueqing Li, Tongda Wu, Yongpan Liu, Vijaykrishnan Narayanan
Nonvolatile processors: Why is it trending? DATE (2017)
Kaisheng Ma, Minli Julie Liao, Xueqing Li, Zhixuan Huan, Jack Sampson
Evaluating tradeoffs in granularity and overheads in supporting nonvolatile execution semantics. ISQED (2017)
Xueqing Li, Sumitha George, Kaisheng Ma, Wei-Yu Tsai, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Meng-Fan Chang, Yongpan Liu, Suman Datta, Vijaykrishnan Narayanan
Advancing Nonvolatile Computing With Nonvolatile NCFET Latches and Flip-Flops. IEEE Trans. Circuits Syst. I Regul. Pap. (11) (2017)
Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan
Enabling Internet-of-Things: Opportunities brought by emerging devices, circuits, and architectures. VLSI-SoC (2016)
Sumitha George, Kaisheng Ma, Ahmedullah Aziz, Xueqing Li, Asif I. Khan, Sayeef S. Salahuddin, Meng-Fan Chang, Suman Datta, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan
Nonvolatile memory design based on ferroelectric FETs. DAC (2016)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kaisheng Ma