Kaisheng Ma - RankMe

154 papers A* 48A 13B 2C 2Misc 1Journal 68Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Characterizing Cloud-Native LLM Inference at Bytedance and Exposing Optimization Challenges and Opportunities for Future AI Accelerators. HPCA Jingwei Cai, Dehao Kong, Hantao Huang, Zishan Jiang, Zixuan Ma, Qingyu Guo, Zhenxing Zhang, Guiming Shi, Mingyu Gao, Kaisheng Ma, Minghui Yu
2026	J	`jnl`	ES-dLLM: Efficient Inference for Diffusion Large Language Models by Early-Skipping. CoRR Zijian Zhu, Fei Ren, Zhanhong Tan, Kaisheng Ma
2026	J	`jnl`	Semi-Supervised Cross-Domain Imitation Learning. Trans. Mach. Learn. Res. Li-Min Chu, Kaisheng Ma, Ming-Hong Chen, Ping-Chun Hsieh
2025	A	`conf`	Benchmarking Long-Horizon Mobile Manipulation in Multi-Room Dynamic Environments. IROS Junbo Zhang, Kaisheng Ma
2025	A*	`conf`	Buffer Prospector: Discovering and Exploiting Untapped Buffer Resources in Many-Core DNN Accelerators. DAC Yuchen Wei, Jingwei Cai, Mingyu Gao, Sen Peng, Zuotong Wu, Guiming Shi, Kaisheng Ma
2025	J	`jnl`	Data-Centric Elastic Pipeline Parallelism for Efficient Long-Context LLM Training. CoRR Shiju Wang, Yujie Wang, Ao Sun, Fangcheng Fu, Zijian Zhu, Bin Cui, Xu Han, Kaisheng Ma
2025	J	`jnl`	Enhancing 3D migration images resolution: A fast and robust implicit point spread function deconvolution method based on wavenumber domain representation. Comput. Geosci. Zhongfan Jia, Cewen Liu, Haohuan Fu, Kaisheng Ma
2025	Misc	`conf`	Enhancing Vision: Harmonizing Frequency for Imaging Quality and Perception Accuracy. ICASSP Hongyang Chen, Kaisheng Ma
2025	A*	`conf`	MindCustomer: Multi-Context Image Generation Blended with Brain Signal. ICML Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma
2025	A*	`conf`	MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning. AAAI Muzhou Yu, Shuyun Lin, Hongwei Yan, Kaisheng Ma
2025	J	`jnl`	RailX: A Flexible, Scalable, and Low-Cost Network Architecture for Hyper-Scale LLM Training Systems. CoRR Yinxiao Feng, Tiancheng Chen, Yuchen Wei, Siyuan Shen, Shiju Wang, Wei Li, Kaisheng Ma, Torsten Hoefler
2025	J	`jnl`	SoFar: Language-Grounded Orientation Bridges Spatial Reasoning and Object Manipulation. CoRR Zekun Qi, Wenyao Zhang, Yufei Ding, Runpei Dong, Xinqiang Yu, Jingwen Li, Lingyun Xu, Baoyu Li, Xialin He, Guofan Fan, Jiazhao Zhang, Jiawei He, Jiayuan Gu, Xin Jin, Kaisheng Ma, Zhizheng Zhang, He Wang, Li Yi
2025	A*	`conf`	SoMa: Identifying, Exploring, and Understanding the DRAM Communication Scheduling Space for DNN Accelerators. HPCA Jingwei Cai, Xuan Wang, Mingyu Gao, Sen Peng, Zijian Zhu, Yuchen Wei, Zuotong Wu, Kaisheng Ma
2025	J	`jnl`	SoMa: Identifying, Exploring, and Understanding the DRAM Communication Scheduling Space for DNN Accelerators. CoRR Jingwei Cai, Xuan Wang, Mingyu Gao, Sen Peng, Zijian Zhu, Yuchen Wei, Zuotong Wu, Kaisheng Ma
2025	A*	`conf`	WPC: Weight Plaintext Compression for CNN Inference based on RNS-CKKS. CCS Guiming Shi, Yuchen Wei, Shengyu Fan, Xianglong Deng, Liang Kong, Xianbin Li, Jingwei Cai, Shuwen Deng, Mingzhe Zhang, Kaisheng Ma
2025	J	`jnl`	WeFT: Weighted Entropy-driven Fine-Tuning for dLLMs. CoRR Guowei Xu, Wenxin Xu, Jiawang Zhao, Kaisheng Ma
2024	J	`jnl`	Accelerating Diffusion Models with One-to-Many Knowledge Distillation. CoRR Linfeng Zhang, Kaisheng Ma
2024	—	`conf`	Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. ASPLOS (1) Zhanhong Tan, Zijian Zhu, Kaisheng Ma
2024	J	`jnl`	Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. CoRR Zhanhong Tan, Zijian Zhu, Kaisheng Ma
2024	A*	`conf`	CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation. AAAI Hongyang Chen, Kaisheng Ma
2024	A	`conf`	DRAFT: Direct Radiance Fields Editing with Composable Operations. BMVC Zhihan Cai, Kailu Wu, Dapeng Cao, Feng Chen, Kaisheng Ma
2024	A*	`conf`	DreamLLM: Synergistic Multimodal Comprehension and Creation. ICLR 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
2024	—	`conf`	Evaluating Chiplet-based Large-Scale Interconnection Networks via Cycle-Accurate Packet-Parallel Simulation. USENIX ATC Yinxiao Feng, Yuchen Wei, Dong Xiang, Kaisheng Ma
2024	J	`jnl`	Flow Score Distillation for Diverse Text-to-3D Generation. CoRR Runjie Yan, Kailu Wu, Kaisheng Ma
2024	A*	`conf`	Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. HPCA Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma
2024	A*	`conf`	Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining. AAAI Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma
2024	A	`conf`	LACO: A Latency-Constraint Offline Neural Network Scheduler towards Reliable Self-Driving Perception. ICCAD Kaisheng Ma, Zhanhong Tan, Zijian Zhu, Mengdi Wu
2024	A	`conf`	MG-VLN: Benchmarking Multi-Goal and Long-Horizon Vision-Language Navigation with Language Enhanced Memory Map. IROS Junbo Zhang, Kaisheng Ma
2024	—	`conf`	NAOL: NeRF-Assisted Omnidirectional Localization. ICPR (4) Muzhou Yu, Zhihan Cai, Kailu Wu, Dapeng Cao, Kaisheng Ma
2024	A*	`conf`	Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. CVPR Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong
2024	J	`jnl`	Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. CoRR Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong
2024	A	`conf`	Partial Differential Equation Acceleration by Exploiting Value Similarity. ICCAD Zehua Li, Kaisheng Ma
2024	A*	`conf`	Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast. ACM Multimedia Guofan Fan, Zekun Qi, Wenkai Shi, Kaisheng Ma
2024	A*	`conf`	Ring Road: A Scalable Polar-Coordinate-based 2D Network-on-Chip Architecture. MICRO Yinxiao Feng, Wei Li, Kaisheng Ma
2024	—	`conf`	ShapeLLM: Universal 3D Object Understanding for Embodied Interaction. ECCV (43) Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma
2024	J	`jnl`	ShapeLLM: Universal 3D Object Understanding for Embodied Interaction. CoRR Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, He Wang, Li Yi, Kaisheng Ma
2024	A	`conf`	Switch-Less Dragonfly on Wafers: A Scalable Interconnection Architecture based on Wafer-Scale Integration. SC Yinxiao Feng, Kaisheng Ma
2024	J	`jnl`	Switch-Less Dragonfly on Wafers: A Scalable Interconnection Architecture based on Wafer-Scale Integration. CoRR Yinxiao Feng, Kaisheng Ma
2024	A*	`conf`	Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image. NeurIPS Kailu Wu, Fangfu Liu, Zhihan Cai, Runjie Yan, Hanyang Wang, Yating Hu, Yueqi Duan, Kaisheng Ma
2024	J	`jnl`	Unique3D: High-Quality and Efficient 3D Mesh Generation from a Single Image. CoRR Kailu Wu, Fangfu Liu, Zhihan Cai, Runjie Yan, Hanyang Wang, Yating Hu, Yueqi Duan, Kaisheng Ma
2023	—	`conf`	A 28nm 68MOPS 0.18\mu\mathrm{J}/\text{Op}$ Paillier Homomorphic Encryption Processor with Bit-Serial Sparse Ciphertext Computing. ISSCC Guiming Shi, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Wuke Zhang, Yifu Wu, Kaisheng Ma
2023	J	`jnl`	A Good Data Augmentation Policy is not All You Need: A Multi-Task Learning Perspective. IEEE Trans. Circuits Syst. Video Technol. Linfeng Zhang, Kaisheng Ma
2023	A*	`conf`	A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets. HPCA Yinxiao Feng, Dong Xiang, Kaisheng Ma
2023	—	`conf`	A Scalable Multi-Chiplet Deep Learning Accelerator with Hub-Side 2.5D Heterogeneous Integration. HCS Zhanhong Tan, Yifu Wu, Yannian Zhang, Haobing Shi, Wuke Zhang, Kaisheng Ma
2023	A*	`conf`	Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? ICLR Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma
2023	—	`conf`	CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP. ICCV (Workshops) Junbo Zhang, Runpei Dong, Kaisheng Ma
2023	J	`jnl`	CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP. CoRR Junbo Zhang, Runpei Dong, Kaisheng Ma
2023	J	`jnl`	CORSD: Class-Oriented Relational Self Distillation. CoRR Muzhou Yu, Sia Huat Tan, Kailu Wu, Runpei Dong, Linfeng Zhang, Kaisheng Ma
2023	A*	`conf`	Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining. ICML Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi
2023	J	`jnl`	Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining. CoRR Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi
2023	J	`jnl`	DreamLLM: Synergistic Multimodal Comprehension and Creation. CoRR 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
2023	J	`jnl`	Gemini: Mapping and Architecture Co-exploration for Large-scale DNN Chiplet Accelerators. CoRR Jingwei Cai, Zuotong Wu, Sen Peng, Yuchen Wei, Zhanhong Tan, Guiming Shi, Mingyu Gao, Kaisheng Ma
2023	A*	`conf`	Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs. ICLR Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma
2023	J	`jnl`	Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs. CoRR Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma
2023	A*	`conf`	Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems. MICRO Yinxiao Feng, Dong Xiang, Kaisheng Ma
2023	A*	`conf`	Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators. ISCA Jingwei Cai, Yuchen Wei, Zuotong Wu, Sen Peng, Kaisheng Ma
2023	A*	`conf`	Language-Assisted 3D Feature Learning for Semantic Scene Understanding. AAAI Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi
2023	J	`jnl`	Learn From Unpaired Data for Image Restoration: A Variational Bayes Approach. IEEE Trans. Pattern Anal. Mach. Intell. Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
2023	—	`conf`	PHEP: Paillier Homomorphic Encryption Processors for Privacy-Preserving Applications in Cloud Computing. HCS Guiming Shi, Yi Li, Xueqiang Wang, Zhanhong Tan, Dapeng Cao, Jingwei Cai, Yuchen Wei, Zehua Li, Wuke Zhang, Yifu Wu, Wei Xu, Kaisheng Ma
2023	J	`jnl`	Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast. CoRR Guofan Fan, Zekun Qi, Wenkai Shi, Kaisheng Ma
2023	A*	`conf`	PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CVPR Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma
2023	A	`conf`	Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. BMVC Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
2023	J	`jnl`	Reliable and Efficient Parallel Checkpointing Framework for Nonvolatile Processor With Concurrent Peripherals. IEEE Trans. Circuits Syst. I Regul. Pap. Tongda Wu, Kaisheng Ma, Jingtong Hu, Jason Xue, Jinyang Li, Xin Shi, Huazhong Yang, Yongpan Liu
2023	B	`conf`	Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. IJCNN Muzhou Yu, Linfeng Zhang, Kaisheng Ma
2023	J	`jnl`	Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. CoRR Muzhou Yu, Linfeng Zhang, Kaisheng Ma
2023	A	`conf`	Structured Knowledge Distillation Towards Efficient Multi-View 3D Object Detection. BMVC Linfeng Zhang, Yukang Shi, Ke Wang, Zhipeng Zhang, Hung-Shuo Tai, Yuan He, Kaisheng Ma
2023	J	`jnl`	Structured Knowledge Distillation for Accurate and Efficient Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. Linfeng Zhang, Kaisheng Ma
2023	A*	`conf`	Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. ICCV Linfeng Zhang, Kaisheng Ma
2023	A*	`conf`	VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation. NeurIPS Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma
2023	J	`jnl`	VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation. CoRR Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma
2022	J	`jnl`	Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image Transformers Help 3D Representation Learning? CoRR Runpei Dong, Zekun Qi, Linfeng Zhang, Junbo Zhang, Jianjian Sun, Zheng Ge, Li Yi, Kaisheng Ma
2022	J	`jnl`	Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration. CoRR Yinxiao Feng, Kaisheng Ma
2022	A*	`conf`	Chiplet actuary: a quantitative cost model and multi-chiplet architecture exploration. DAC Yinxiao Feng, Kaisheng Ma
2022	—	`conf`	Contrastive Deep Supervision. ECCV (26) Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
2022	J	`jnl`	Contrastive Deep Supervision. CoRR Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma
2022	—	`conf`	Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. CVPR Workshops Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jürgen Beyerer
2022	A*	`conf`	Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. ICML Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
2022	A	`conf`	LW-ISP: A Lightweight Model with ISP and Deep Learning. BMVC Hongyang Chen, Kaisheng Ma
2022	J	`jnl`	LW-ISP: A Lightweight Model with ISP and Deep Learning. CoRR Hongyang Chen, Kaisheng Ma
2022	J	`jnl`	Language-Assisted 3D Feature Learning for Semantic Scene Understanding. CoRR Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi
2022	J	`jnl`	Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. CoRR Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, Chenglong Bao
2022	A*	`conf`	MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution. ICML Kailu Wu, Chung-Kuei Lee, Kaisheng Ma
2022	J	`jnl`	Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? IEEE Trans. Neural Networks Learn. Syst. 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
2022	J	`jnl`	PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. CoRR Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma
2022	J	`jnl`	Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. CoRR Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma
2022	A*	`conf`	Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. CVPR Junbo Zhang, Kaisheng Ma
2022	J	`jnl`	Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. CoRR Junbo Zhang, Kaisheng Ma
2022	A*	`conf`	SAFIT: Segmentation-Aware Scene Flow with Improved Transformer. ICRA Yukang Shi, Kaisheng Ma
2022	J	`jnl`	Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Linfeng Zhang, Chenglong Bao, Kaisheng Ma
2022	J	`jnl`	Structured Knowledge Distillation Towards Efficient and Compact Multi-View 3D Detection. CoRR Linfeng Zhang, Yukang Shi, Hung-Shuo Tai, Zhipeng Zhang, Yuan He, Ke Wang, Kaisheng Ma
2022	J	`jnl`	Unsupervised Deep Learning Meets Chan-Vese Model. CoRR Dihan Zheng, Chenglong Bao, Zuoqiang Shi, Haibin Ling, Kaisheng Ma
2022	A*	`conf`	Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CVPR Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
2022	J	`jnl`	Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. CoRR Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma
2022	J	`jnl`	YOLoC: DeploY Large-Scale Neural Network by ROM-based Computing-in-Memory using ResiduaL Branch on a Chip. CoRR Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
2022	A*	`conf`	YOLoC: deploy large-scale neural network by ROM-based computing-in-memory using residual branch on a chip. DAC Yiming Chen, Guodong Yin, Zhanhong Tan, Mingyen Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, Xueqing Li
2021	—	`conf`	A 400MHz NPU with 7.8TOPS CICC Zhanhong Tan, Sia Huat Tan, Jan-Henrik Lambrechts, Yannian Zhang, Yifu Wu, Kaisheng Ma
2021	A*	`conf`	AFEC: Active Forgetting of Negative Transfer in Continual Learning. NeurIPS Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021	J	`jnl`	AFEC: Active Forgetting of Negative Transfer in Continual Learning. CoRR Liyuan Wang, Mingtian Zhang, Zhongfan Jia, Qian Li, Chenglong Bao, Kaisheng Ma, Jun Zhu, Yi Zhong
2021	A*	`conf`	An Unsupervised Deep Learning Approach for Real-World Image Denoising. ICLR Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
2021	J	`jnl`	Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. CoRR Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma
2021	A*	`conf`	Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. ICLR Linfeng Zhang, Kaisheng Ma
2021	A	`conf`	Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. BMVC Sia Huat Tan, Runpei Dong, Kaisheng Ma
2021	J	`jnl`	Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. CoRR Sia Huat Tan, Runpei Dong, Kaisheng Ma
2021	A*	`conf`	NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. ISCA Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma
2021	B	`conf`	Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. IJCNN Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma
2020	—	`conf`	An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. ECCV (13) Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020	J	`jnl`	An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. CoRR 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
2020	A*	`conf`	Auxiliary Training: Towards Accurate and Robust Models. CVPR Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma
2020	—	`conf`	Design Insights of Non-volatile Processors and Accelerators in Energy Harvesting Systems. ACM Great Lakes Symposium on VLSI Keni Qiu, Mengying Zhao, Zhenge Jia, Jingtong Hu, Chun Jason Xue, Kaisheng Ma, Xueqing Li, Yongpan Liu, Vijaykrishnan Narayanan
2020	A*	`conf`	Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation. CVPR Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2020	A*	`conf`	PCNN: Pattern-based Fine-Grained Regular Pruning Towards Optimizing CNN Accelerators. DAC Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2020	J	`jnl`	PCNN: Pattern-based Fine-Grained Regular Pruning towards Optimizing CNN Accelerators. CoRR Zhanhong Tan, Jiebo Song, Xiaolong Ma, Sia Huat Tan, Hongyang Chen, Yuanqing Miao, Yifu Wu, Shaokai Ye, Yanzhi Wang, Dehui Li, Kaisheng Ma
2020	A*	`conf`	PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. AAAI Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020	A*	`conf`	Task-Oriented Feature Distillation. NeurIPS Linfeng Zhang, Yukang Shi, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
2019	A*	`conf`	Adversarial Robustness vs. Model Compression, or Both? ICCV Shaokai Ye, Xue Lin, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang
2019	A*	`conf`	Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation. CoRR Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Brain-inspired reverse adversarial examples. CoRR Shaokai Ye, Sia Huat Tan, Kaidi Xu, Yanzhi Wang, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs. IEEE Des. Test Xueqing Li, Juejian Wu, Kai Ni, Sumitha George, Kaisheng Ma, John Sampson, Sumeet Kumar Gupta, Yongpan Liu, Huazhong Yang, Suman Datta, Vijaykrishnan Narayanan
2019	—	`conf`	Gated Contiguous Memory U-Net for Single Image Dehazing. ICONIP (2) Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma
2019	J	`jnl`	Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation. CoRR Shaokai Ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan, Kaidi Xu, Jiebo Song, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Non-structured DNN Weight Pruning Considered Harmful. CoRR 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
2019	J	`jnl`	PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices. CoRR Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2019	A*	`conf`	SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. CoRR Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma
2019	J	`jnl`	Second Rethinking of Network Pruning in the Adversarial Setting. CoRR Shaokai Ye, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, Xue Lin
2019	J	`jnl`	Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. CoRR Sheng Lin, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, Yanzhi Wang
2018	A	`conf`	Dual Mode Ferroelectric Transistor based Non-Volatile Flip-Flops for Intermittently-Powered Systems. ISLPED Sandeep Krishna Thirumala, Arnab Raha, Hrishikesh Jayakumar, Kaisheng Ma, Narayanan Vijaykrishnan, Vijay Raghunathan, Sumeet Kumar Gupta
2018	J	`jnl`	IAA: Incidental Approximate Architectures for Extremely Energy-Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors. IEEE Micro Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T. Kandemir, Jack Sampson, Vijaykrishnan Narayanan
2018	A*	`conf`	NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing. ASPLOS Kaisheng Ma, Xueqing Li, Mahmut Taylan Kandemir, Jack Sampson, Vijaykrishnan Narayanan, Jinyang Li, Tongda Wu, Zhibo Wang, Yongpan Liu, Yuan Xie
2018	J	`jnl`	Symmetric 2-D-Memory Access to Multidimensional Data. IEEE Trans. Very Large Scale Integr. Syst. Sumitha George, Xueqing Li, Minli Julie Liao, Kaisheng Ma, Srivatsa Rangachar Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Kumar Gupta, Vijaykrishnan Narayanan
2017	J	`jnl`	Advancing Nonvolatile Computing With Nonvolatile NCFET Latches and Flip-Flops. IEEE Trans. Circuits Syst. I Regul. Pap. 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
2017	J	`jnl`	Dynamic Power and Energy Management for Energy Harvesting Nonvolatile Processor Systems. ACM Trans. Embed. Comput. Syst. Kaisheng Ma, Xueqing Li, Huichu Liu, Xiao Sheng, Yiqun Wang, Karthik Swaminathan, Yongpan Liu, Yuan Xie, John Sampson, Vijaykrishnan Narayanan
2017	—	`conf`	Evaluating tradeoffs in granularity and overheads in supporting nonvolatile execution semantics. ISQED Kaisheng Ma, Minli Julie Liao, Xueqing Li, Zhixuan Huan, Jack Sampson
2017	A*	`conf`	Incidental computing on IoT nonvolatile processors. MICRO Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan
2017	A	`conf`	Nonvolatile processors: Why is it trending? DATE Fang Su, Kaisheng Ma, Xueqing Li, Tongda Wu, Yongpan Liu, Vijaykrishnan Narayanan
2017	—	`conf`	Spendthrift: Machine learning based resource and frequency scaling for ambient energy harvesting nonvolatile processors. ASP-DAC Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan
2016	—	`conf`	Enabling Internet-of-Things with Opportunities Brought by Emerging Devices, Circuits and Architectures. VLSI-SoC (Selected Papers) Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan
2016	C	`conf`	Enabling Internet-of-Things: Opportunities brought by emerging devices, circuits, and architectures. VLSI-SoC Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson, Vijaykrishnan Narayanan
2016	J	`jnl`	Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power. IEEE Micro Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John (Jack) Morgan Sampson, Vijaykrishnan Narayanan
2016	A*	`conf`	Nonvolatile memory design based on ferroelectric FETs. DAC 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
2015	A*	`conf`	Ambient energy harvesting nonvolatile processors: from circuit to system. DAC 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
2015	A*	`conf`	Architecture exploration for ambient energy harvesting nonvolatile processors. HPCA Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, Jack Sampson, Yuan Xie, Vijaykrishnan Narayanan
2015	A	`conf`	Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile. ICCAD Kaisheng Ma, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie, Vijaykrishnan Narayanan
2015	J	`jnl`	Key characterization factors of accurate power modeling for FinFET circuits. Sci. China Inf. Sci. Kaisheng Ma, Xiaoxin Cui, Kai Liao, Nan Liao, Di Wu, Dunshan Yu
2015	J	`jnl`	Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications. IEEE Micro Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John (Jack) Morgan Sampson, Yuan Xie, Vijaykrishnan Narayanan
2015	—	`conf`	Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing. ISVLSI Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Kumar Gupta, John Sampson, Yuan Xie, Vijaykrishnan Narayanan
2014	—	`conf`	Independently-Controlled-Gate FinFET 6T SRAM Cell Design for Leakage Current Reduction and Enhanced Read Access Speed. ISVLSI Kaisheng Ma, Huichu Liu, Yang Xiao, Yang Zheng, Xueqing Li, Sumeet Kumar Gupta, Yuan Xie, Vijaykrishnan Narayanan
2014	J	`jnl`	Low power adiabatic logic based on FinFETs. Sci. China Inf. Sci. Nan Liao, Xiaoxin Cui, Kai Liao, Kaisheng Ma, Di Wu, Wei Wei, Rui Li, Dunshan Yu
2014	—	`conf`	Rf-powered systems using steep-slope devices. NEWCAS Xueqing Li, Unsuk Dennis Heo, Kaisheng Ma, Vijaykrishnan Narayanan, Huichu Liu, Suman Datta
2014	J	`jnl`	Tunnel FET RF Rectifier Design for Energy Harvesting Applications. IEEE J. Emerg. Sel. Topics Circuits Syst. Huichu Liu, Xueqing Li, Ramesh Vaddi, Kaisheng Ma, Suman Datta, Vijaykrishnan Narayanan
2014	J	`jnl`	Ultra-low power dissipation of improved complementary pass-transistor adiabatic logic circuits based on FinFETs. Sci. China Inf. Sci. Kai Liao, Xiaoxin Cui, Nan Liao, Kaisheng Ma, Di Wu, Wei Wei, Rui Li, Dunshan Yu
2013	C	`conf`	A Dynamic-Adjusting Threshold-Voltage Scheme for FinFETs low power designs. ISCAS Xiaoxin Cui, Kaisheng Ma, Kai Liao, Nan Liao, Di Wu, Wei Wei, Rui Li, Dunshan Yu
2013	J	`jnl`	Leakage Power Reduction of Adiabatic Circuits Based on FinFET Devices. IEICE Trans. Electron. Kai Liao, Xiaoxin Cui, Nan Liao, Kaisheng Ma