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2020 – today
- 2024
[c70]Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma:
Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining. AAAI 2024: 1063-1071- [c69]Hongyang Chen, Kaisheng Ma:
CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation. AAAI 2024: 1072-1080 - [c68]Zhanhong Tan
, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) 2024: 69-84 - [c67]Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong:
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. CVPR 2024: 23670-23680 - [c66]Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma:
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction. ECCV (43) 2024: 214-238 - [c65]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. HPCA 2024: 156-171 - [c64]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. ICLR 2024 - [c63]Guofan Fan, Zekun Qi, Wenkai Shi, Kaisheng Ma:
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast. ACM Multimedia 2024: 4709-4718 - [c62]Yinxiao Feng, Yuchen Wei, Dong Xiang, Kaisheng Ma:
Evaluating Chiplet-based Large-Scale Interconnection Networks via Cycle-Accurate Packet-Parallel Simulation. USENIX ATC 2024: 731-747 - [i42]Zhanhong Tan, Zijian Zhu, Kaisheng Ma:
Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR abs/2402.00629 (2024) - [i41]Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, He Wang, Li Yi, Kaisheng Ma:
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction. CoRR abs/2402.17766 (2024) - [i40]Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong:
Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. CoRR abs/2404.00417 (2024) - [i39]Runjie Yan, Kailu Wu, Kaisheng Ma:
Flow Score Distillation for Diverse Text-to-3D Generation. CoRR abs/2405.10988 (2024) - [i38]Kailu Wu, Fangfu Liu, Zhihan Cai, Runjie Yan, Hanyang Wang, Yating Hu, Yueqi Duan, Kaisheng Ma:
Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image. CoRR abs/2405.20343 (2024) - [i37]Yinxiao Feng, Kaisheng Ma:
Switch-Less Dragonfly on Wafers: A Scalable Interconnection Architecture based on Wafer-Scale Integration. CoRR abs/2407.10290 (2024) - [i36]Linfeng Zhang, Kaisheng Ma:
Accelerating Diffusion Models with One-to-Many Knowledge Distillation. CoRR abs/2410.04191 (2024) - 2023
- [j18]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): 5889-5903 (2023) - [j17]Linfeng Zhang, Kaisheng Ma:
Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15706-15724 (2023) - [j16]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): 228-240 (2023) - [j15]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): 2190-2201 (2023) - [c61]Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi:
Language-Assisted 3D Feature Learning for Semantic Scene Understanding. AAAI 2023: 3445-3453 - [c60]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: 339-344 - [c59]Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma:
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC 2023: 345-346 - [c58]Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma:
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR 2023: 21791-21801 - [c57]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: 1-20 - [c56]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: 1-17 - [c55]Yinxiao Feng, Dong Xiang, Kaisheng Ma:
A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets. HPCA 2023: 1059-1071 - [c54]Linfeng Zhang, Kaisheng Ma:
Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV 2023: 23390-23402 - [c53]Junbo Zhang, Runpei Dong, Kaisheng Ma:
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP. ICCV (Workshops) 2023: 2040-2051 - [c52]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 - [c51]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 - [c50]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: 28223-28243 - [c49]Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. IJCNN 2023: 1-10 - [c48]Jingwei Cai, Yuchen Wei, Zuotong Wu, Sen Peng, Kaisheng Ma:
Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators. ISCA 2023: 13:1-13:17 - [c47]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: 242-243 - [c46]Yinxiao Feng, Dong Xiang, Kaisheng Ma:
Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems. MICRO 2023: 930-943 - [c45]Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma:
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation. NeurIPS 2023 - [i35]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 abs/2302.02318 (2023) - [i34]Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma:
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs. CoRR abs/2302.03235 (2023) - [i33]Junbo Zhang, Runpei Dong, Kaisheng Ma:
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP. CoRR abs/2303.04748 (2023) - [i32]Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma:
CORSD: Class-Oriented Relational Self Distillation. CoRR abs/2305.00918 (2023) - [i31]Muzhou Yu, Linfeng Zhang, Kaisheng Ma:
Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. CoRR abs/2305.13232 (2023) - [i30]Guofan Fan, Zekun Qi, Wenkai Shi, Kaisheng Ma:
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast. CoRR abs/2305.19623 (2023) - [i29]Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma:
VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation. CoRR abs/2307.16605 (2023) - [i28]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 abs/2309.11499 (2023) - [i27]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 abs/2312.16436 (2023) - 2022
- [j14]Linfeng Zhang, Chenglong Bao, Kaisheng Ma:
Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4388-4403 (2022) - [j13]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): 4930-4944 (2022) - [c44]Hongyang Chen, Kaisheng Ma:
LW-ISP: A Lightweight Model with ISP and Deep Learning. BMVC 2022: 148 - [c43]Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer:
Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. CVPR Workshops 2022: 4141-4152 - [c42]Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma:
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CVPR 2022: 12454-12464 - [c41]Junbo Zhang, Kaisheng Ma:
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. CVPR 2022: 16629-16638 - [c40]Yinxiao Feng, Kaisheng Ma:
Chiplet actuary: a quantitative cost model and multi-chiplet architecture exploration. DAC 2022: 121-126 - [c39]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: 1093-1098 - [c38]Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. ECCV (26) 2022: 1-19 - [c37]Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML 2022: 5343-5359 - [c36]Kailu Wu, Chung-Kuei Lee, Kaisheng Ma:
MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution. ICML 2022: 24076-24092 - [c35]Yukang Shi, Kaisheng Ma:
SAFIT: Segmentation-Aware Scene Flow with Improved Transformer. ICRA 2022: 10648-10655 - [i26]Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma:
Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CoRR abs/2203.06321 (2022) - [i25]Yinxiao Feng, Kaisheng Ma:
Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration. CoRR abs/2203.12268 (2022) - [i24]Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma:
Unsupervised Deep Learning Meets Chan-Vese Model. CoRR abs/2204.06951 (2022) - [i23]Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao:
Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. CoRR abs/2204.10090 (2022) - [i22]Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma:
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CoRR abs/2205.11098 (2022) - [i21]Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma:
Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. CoRR abs/2205.12451 (2022) - [i20]Junbo Zhang, Kaisheng Ma:
Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. CoRR abs/2206.00227 (2022) - [i19]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 abs/2206.00379 (2022) - [i18]Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma:
Contrastive Deep Supervision. CoRR abs/2207.05306 (2022) - [i17]Hongyang Chen, Kaisheng Ma:
LW-ISP: A Lightweight Model with ISP and Deep Learning. CoRR abs/2210.03904 (2022) - [i16]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 abs/2211.08398 (2022) - [i15]Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi:
Language-Assisted 3D Feature Learning for Semantic Scene Understanding. CoRR abs/2211.14091 (2022) - [i14]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 abs/2212.08320 (2022) - 2021
- [c34]Sia Huat Tan, Runpei Dong, Kaisheng Ma:
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. BMVC 2021: 142 - [c33]Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma:
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. CICC 2021: 1-2 - [c32]Linfeng Zhang, Kaisheng Ma:
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR 2021 - [c31]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 - [c30]Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma:
Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN 2021: 1-8 - [c29]Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma:
NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA 2021: 1013-1026 - [c28]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: 22379-22391 - [i13]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 abs/2110.12187 (2021) - [i12]Sia Huat Tan, Runpei Dong, Kaisheng Ma:
Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. CoRR abs/2111.02018 (2021) - [i11]Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma:
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR abs/2112.15139 (2021) - 2020
- [c27]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: 5117-5124 - [c26]Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma:
Auxiliary Training: Towards Accurate and Robust Models. CVPR 2020: 369-378 - [c25]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: 13733-13742 - [c24]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: 1-6 - [c23]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: 629-645 - [c22]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: 369-374 - [c21]Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao:
Task-Oriented Feature Distillation. NeurIPS 2020 - [i10]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 abs/2001.07710 (2020) - [i9]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 abs/2002.04997 (2020)
2010 – 2019
- 2019
- [j12]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): 39-45 (2019) - [c20]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: 111-120 - [c19]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: 3712-3721 - [c18]Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma:
Gated Contiguous Memory U-Net for Single Image Dehazing. ICONIP (2) 2019: 117-127 - [c17]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: 4029-4038 - [i8]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 abs/1903.12561 (2019) - [i7]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 abs/1905.00789 (2019) - [i6]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 abs/1905.08094 (2019) - [i5]Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma:
Brain-inspired reverse adversarial examples. CoRR abs/1905.12171 (2019) - [i4]Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma:
SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR abs/1906.03951 (2019) - [i3]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 abs/1907.02124 (2019) - [i2]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 abs/1909.05073 (2019) - [i1]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 abs/1911.12796 (2019) - 2018
- [j11]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): 11-19 (2018) - [j10]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): 1040-1050 (2018) - [c16]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: 782-796 - [c15]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: 31:1-31:6 - 2017
- [j9]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. 64-I(11): 2907-2919 (2017) - [j8]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): 107:1-107:23 (2017) - [c14]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: 678-683 - [c13]Fang Su, Kaisheng Ma, Xueqing Li, Tongda Wu, Yongpan Liu, Vijaykrishnan Narayanan:
Nonvolatile processors: Why is it trending? DATE 2017: 966-971 - [c12]Kaisheng Ma, Minli Julie Liao, Xueqing Li, Zhixuan Huan, Jack Sampson:
Evaluating tradeoffs in granularity and overheads in supporting nonvolatile execution semantics. ISQED 2017: 39-44 - [c11]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: 204-218 - 2016
- [j7]Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John (Jack) Morgan Sampson, Vijaykrishnan Narayanan:
Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power. IEEE Micro 36(3): 72-83 (2016) - [c10]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:
Nonvolatile memory design based on ferroelectric FETs. DAC 2016: 118:1-118:6 - [c9]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: 1-6 - [c8]Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan:
Enabling Internet-of-Things with Opportunities Brought by Emerging Devices, Circuits and Architectures. VLSI-SoC (Selected Papers) 2016: 1-23 - 2015
- [j6]Kaisheng Ma, Xiaoxin Cui, Kai Liao, Nan Liao, Di Wu, Dunshan Yu:
Key characterization factors of accurate power modeling for FinFET circuits. Sci. China Inf. Sci. 58(2): 1-13 (2015) - [j5]Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John (Jack) Morgan Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications. IEEE Micro 35(5): 32-40 (2015) - [c7]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:
Ambient energy harvesting nonvolatile processors: from circuit to system. DAC 2015: 150:1-150:6 - [c6]Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, Jack Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Architecture exploration for ambient energy harvesting nonvolatile processors. HPCA 2015: 526-537 - [c5]Kaisheng Ma, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile. ICCAD 2015: 670-675 - [c4]Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Yuan Xie, Vijaykrishnan Narayanan:
Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing. ISVLSI 2015: 339-344 - 2014
- [j4]Nan Liao, Xiaoxin Cui, Kai Liao, Kaisheng Ma, Di Wu, Wei Wei, Rui Li, Dunshan Yu:
Low power adiabatic logic based on FinFETs. Sci. China Inf. Sci. 57(2): 1-13 (2014) - [j3]Kai Liao, Xiaoxin Cui, Nan Liao, Kaisheng Ma, Di Wu, Wei Wei, Rui Li, Dunshan Yu:
Ultra-low power dissipation of improved complementary pass-transistor adiabatic logic circuits based on FinFETs. Sci. China Inf. Sci. 57(4): 1-13 (2014) - [j2]Huichu Liu, Xueqing Li, Ramesh Vaddi, Kaisheng Ma, Suman Datta, Vijaykrishnan Narayanan:
Tunnel FET RF Rectifier Design for Energy Harvesting Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. 4(4): 400-411 (2014) - [c3]Kaisheng Ma, Huichu Liu, Yang Xiao, Yang Zheng, Xueqing Li, Sumeet Kumar Gupta, Yuan Xie, Vijaykrishnan Narayanan:
Independently-Controlled-Gate FinFET 6T SRAM Cell Design for Leakage Current Reduction and Enhanced Read Access Speed. ISVLSI 2014: 296-301 - [c2]Xueqing Li, Unsuk Dennis Heo, Kaisheng Ma, Vijaykrishnan Narayanan, Huichu Liu, Suman Datta:
Rf-powered systems using steep-slope devices. NEWCAS 2014: 73-76 - 2013
- [j1]Kai Liao, Xiaoxin Cui, Nan Liao, Kaisheng Ma:
Leakage Power Reduction of Adiabatic Circuits Based on FinFET Devices. IEICE Trans. Electron. 96-C(8): 1068-1075 (2013) - [c1]Xiaoxin Cui, Kaisheng Ma, Kai Liao, Nan Liao, Di Wu, Wei Wei, Rui Li, Dunshan Yu:
A Dynamic-Adjusting Threshold-Voltage Scheme for FinFETs low power designs. ISCAS 2013: 129-132
Coauthor Index
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