Kaisheng Ma

According to our database, Kaisheng Ma authored at least 93 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction.

Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, He Wang, Li Yi, Kaisheng Ma

CoRR, 2024

Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators.

Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization.

Zhanhong Tan, Zijian Zhu, Kaisheng Ma

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining.

Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation.

Hongyang Chen, Kaisheng Ma

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Structured Knowledge Distillation for Accurate and Efficient Object Detection.

Linfeng Zhang, Kaisheng Ma

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective.

Linfeng Zhang, Kaisheng Ma

IEEE Trans. Circuits Syst. Video Technol., May, 2023

Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach.

Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Reliable and Efficient Parallel Checkpointing Framework for Nonvolatile Processor With Concurrent Peripherals.

Tongda Wu, Kaisheng Ma, Jingtong Hu, Jason Xue, Jinyang Li, Xin Shi, Huazhong Yang, Yongpan Liu

IEEE Trans. Circuits Syst. I Regul. Pap., January, 2023

DreamLLM: Synergistic Multimodal Comprehension and Creation.

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

CoRR, 2023

Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast.

Guofan Fan, Zekun Qi, Wenkai Shi, Kaisheng Ma

CoRR, 2023

CORSD: Class-Oriented Relational Self Distillation.

Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma

CoRR, 2023

VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation.

Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems.

Yinxiao Feng, Dong Xiang, Kaisheng Ma

Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing.

Guiming Shi, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Wuke Zhang, Yifu Wu, Kaisheng Ma

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators.

Jingwei Cai, Yuchen Wei, Zuotong Wu, Sen Peng, Kaisheng Ma

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study.

Muzhou Yu, Linfeng Zhang, Kaisheng Ma

Proceedings of the International Joint Conference on Neural Networks, 2023

Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining.

Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi

Proceedings of the International Conference on Machine Learning, 2023

Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs.

Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning?

Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP.

Junbo Zhang, Runpei Dong, Kaisheng Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Tiny Updater: Towards Efficient Neural Network-Driven Software Updating.

Linfeng Zhang, Kaisheng Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets.

Yinxiao Feng, Dong Xiang, Kaisheng Ma

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration.

Zhanhong Tan, Yifu Wu, Yannian Zhang, Haobing Shi, Wuke Zhang, Kaisheng Ma

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing.

Guiming Shi, Yi Li, Xueqiang Wang, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Yuchen Wei, Zehua Li, Wuke Zhang, Yifu Wu, Wei Xu, Kaisheng Ma

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection.

Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection.

Linfeng Zhang, Yukang Shi, Ke Wang, Zhipeng Zhang, Hung-Shuo Tai, Yuan He, Kaisheng Ma

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Region-aware Knowledge Distillation for Efficient Image-to-Image Translation.

Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma

Proceedings of the 34th British Machine Vision Conference 2023, 2023

Language-Assisted 3D Feature Learning for Semantic Scene Understanding.

Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform?

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

IEEE Trans. Neural Networks Learn. Syst., 2022

Self-Distillation: Towards Efficient and Compact Neural Networks.

Linfeng Zhang, Chenglong Bao, Kaisheng Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection.

Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma

CoRR, 2022

Unsupervised Deep Learning Meets Chan-Vese Model.

Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma

CoRR, 2022

SAFIT: Segmentation-Aware Scene Flow with Improved Transformer.

Yukang Shi, Kaisheng Ma

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution.

Kailu Wu, Chung-Kuei Lee, Kaisheng Ma

Proceedings of the International Conference on Machine Learning, 2022

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks.

Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma

Proceedings of the International Conference on Machine Learning, 2022

Contrastive Deep Supervision.

Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma

Proceedings of the Computer Vision - ECCV 2022, 2022

Chiplet actuary: a quantitative cost model and multi-chiplet architecture exploration.

Yinxiao Feng, Kaisheng Ma

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip.

Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views.

Junbo Zhang, Kaisheng Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation.

Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images.

Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

LW-ISP: A Lightweight Model with ISP and Deep Learning.

Hongyang Chen, Kaisheng Ma

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

AFEC: Active Forgetting of Negative Transfer in Continual Learning.

Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators.

Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma

Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks.

Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma

Proceedings of the International Joint Conference on Neural Networks, 2021

An Unsupervised Deep Learning Approach for Real-World Image Denoising.

Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

Proceedings of the 9th International Conference on Learning Representations, 2021

Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors.

Linfeng Zhang, Kaisheng Ma

Proceedings of the 9th International Conference on Learning Representations, 2021

A 400MHz NPU with 7.8TOPS²/W High-PerformanceGuaranteed Efficiency in 55nm for Multi-Mode Pruning and Diverse Quantization Using Pattern-Kernel Encoding and Reconfigurable MAC Units.

Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma

Proceedings of the IEEE Custom Integrated Circuits Conference, 2021

Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention.

Sia Huat Tan, Runpei Dong, Kaisheng Ma

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.

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

CoRR, 2020

Task-Oriented Feature Distillation.

Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems.

Keni Qiu, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, Vijaykrishnan Narayanan

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.

Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators.

Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

Auxiliary Training: Towards Accurate and Robust Models.

Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation.

Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.

Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs.

Xueqing Li, Juejian Wu, Kai Ni, Sumitha George, Kaisheng Ma, John Sampson, Sumeet Kumar Gupta, Yongpan Liu, Huazhong Yang, Suman Datta, Vijaykrishnan Narayanan

IEEE Des. Test, 2019

Non-structured DNN Weight Pruning Considered Harmful.

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

CoRR, 2019

Brain-inspired reverse adversarial examples.

Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma

CoRR, 2019

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM.

Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang

CoRR, 2019

Second Rethinking of Network Pruning in the Adversarial Setting.

Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin

CoRR, 2019

SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models.

Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Gated Contiguous Memory U-Net for Single Image Dehazing.

Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation.

Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Adversarial Robustness vs. Model Compression, or Both?

Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Symmetric 2-D-Memory Access to Multidimensional Data.

Sumitha George, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan

IEEE Trans. Very Large Scale Integr. Syst., 2018

IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors.

Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan

IEEE Micro, 2018

Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems.

Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta

Proceedings of the International Symposium on Low Power Electronics and Design, 2018

NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing.

Kaisheng Ma, Xueqing Li, Mahmut Taylan Kandemir, Jack Sampson, Vijaykrishnan Narayanan, Jinyang Li, Tongda Wu, Zhibo Wang, Yongpan Liu, Yuan Xie

Proceedings of the Twenty-Third International Conference on Architectural Support for Programming Languages and Operating Systems, 2018

2017

Dynamic Power and Energy Management for Energy Harvesting Nonvolatile Processor Systems.

Kaisheng Ma, Xueqing Li, Huichu Liu, Xiao Sheng, Yiqun Wang, Karthik Swaminathan, Yongpan Liu, Yuan Xie, John Sampson, Vijaykrishnan Narayanan

ACM Trans. Embed. Comput. Syst., 2017

Advancing Nonvolatile Computing With Nonvolatile NCFET Latches and Flip-Flops.

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

IEEE Trans. Circuits Syst. I Regul. Pap., 2017

Incidental computing on IoT nonvolatile processors.

Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan

Proceedings of the 50th Annual IEEE/ACM International Symposium on Microarchitecture, 2017

Evaluating tradeoffs in granularity and overheads in supporting nonvolatile execution semantics.

Kaisheng Ma, Minli Julie Liao, Xueqing Li, Zhixuan Huan, Jack Sampson

Proceedings of the 18th International Symposium on Quality Electronic Design, 2017

Nonvolatile processors: Why is it trending?

Fang Su, Kaisheng Ma, Xueqing Li, Tongda Wu, Yongpan Liu, Vijaykrishnan Narayanan

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017

Spendthrift: Machine learning based resource and frequency scaling for ambient energy harvesting nonvolatile processors.

Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan

Proceedings of the 22nd Asia and South Pacific Design Automation Conference, 2017

2016

Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power.

Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John (Jack) Morgan Sampson, Vijaykrishnan Narayanan

IEEE Micro, 2016

Enabling Internet-of-Things with Opportunities Brought by Emerging Devices, Circuits and Architectures.

Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan

Proceedings of the VLSI-SoC: System-on-Chip in the Nanoscale Era - Design, Verification and Reliability, 2016

Nonvolatile memory design based on ferroelectric FETs.

Sumitha George, Kaisheng Ma, Ahmedullah Aziz, Xueqing Li, Asif Islam Khan, Sayeef S. Salahuddin, Meng-Fan Chang, Suman Datta, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan

Proceedings of the 53rd Annual Design Automation Conference, 2016

2015

Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications.

Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John (Jack) Morgan Sampson, Yuan Xie, Vijaykrishnan Narayanan

IEEE Micro, 2015

Key characterization factors of accurate power modeling for FinFET circuits.

Kaisheng Ma, Xiaoxin Cui, Kai Liao, Nan Liao, Di Wu, Dunshan Yu

Sci. China Inf. Sci., 2015

Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing.

Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Yuan Xie, Vijaykrishnan Narayanan

Proceedings of the 2015 IEEE Computer Society Annual Symposium on VLSI, 2015

Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile.

Kaisheng Ma, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2015

Architecture exploration for ambient energy harvesting nonvolatile processors.

Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, Jack Sampson, Yuan Xie, Vijaykrishnan Narayanan

Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

Ambient energy harvesting nonvolatile processors: from circuit to system.

Yongpan Liu, Zewei Li, Hehe Li, Yiqun Wang, Xueqing Li, Kaisheng Ma, Shuangchen Li, Meng-Fan Chang, John Sampson, Yuan Xie, Jiwu Shu, Huazhong Yang

Proceedings of the 52nd Annual Design Automation Conference, 2015

2014

Tunnel FET RF Rectifier Design for Energy Harvesting Applications.

Huichu Liu, Xueqing Li, Ramesh Vaddi, Kaisheng Ma, Suman Datta, Vijaykrishnan Narayanan

IEEE J. Emerg. Sel. Topics Circuits Syst., 2014

Ultra-low power dissipation of improved complementary pass-transistor adiabatic logic circuits based on FinFETs.

Kai Liao, Xiaoxin Cui, Nan Liao, Kaisheng Ma, Di Wu, Wei Wei, Rui Li, Dunshan Yu

Sci. China Inf. Sci., 2014

Low power adiabatic logic based on FinFETs.

Nan Liao, Xiaoxin Cui, Kai Liao, Kaisheng Ma, Di Wu, Wei Wei, Rui Li, Dunshan Yu

Sci. China Inf. Sci., 2014

Rf-powered systems using steep-slope devices.

Xueqing Li, Unsuk Dennis Heo, Kaisheng Ma, Vijaykrishnan Narayanan, Huichu Liu, Suman Datta

Proceedings of the IEEE 12th International New Circuits and Systems Conference, 2014

Independently-Controlled-Gate FinFET 6T SRAM Cell Design for Leakage Current Reduction and Enhanced Read Access Speed.

Kaisheng Ma, Huichu Liu, Yang Xiao, Yang Zheng, Xueqing Li, Sumeet Kumar Gupta, Yuan Xie, Vijaykrishnan Narayanan

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2014

2013

Leakage Power Reduction of Adiabatic Circuits Based on FinFET Devices.

Kai Liao, Xiaoxin Cui, Nan Liao, Kaisheng Ma

IEICE Trans. Electron., 2013

A Dynamic-Adjusting Threshold-Voltage Scheme for FinFETs low power designs.

Xiaoxin Cui, Kaisheng Ma, Kai Liao, Nan Liao, Di Wu, Wei Wei, Rui Li, Dunshan Yu

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013