| 2026 | HPCA | Characterizing Cloud-Native LLM Inference at Bytedance and Exposing Optimization Challenges and Opportunities for Future AI Accelerators. | Jingwei Cai, Dehao Kong, Hantao Huang, Zishan Jiang, Zixuan Ma, Qingyu Guo, Zhenxing Zhang, Guiming Shi, Mingyu Gao, Kaisheng Ma, Minghui Yu |
| 2025 | AAAI | MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning. | Muzhou Yu, Shuyun Lin, Hongwei Yan, Kaisheng Ma |
| 2025 | CCS | WPC: Weight Plaintext Compression for CNN Inference based on RNS-CKKS. | Guiming Shi, Yuchen Wei, Shengyu Fan, Xianglong Deng, Liang Kong, Xianbin Li, Jingwei Cai, Shuwen Deng, Mingzhe Zhang, Kaisheng Ma |
| 2025 | DAC | Buffer Prospector: Discovering and Exploiting Untapped Buffer Resources in Many-Core DNN Accelerators. | Yuchen Wei, Jingwei Cai, Mingyu Gao, Sen Peng, Zuotong Wu, Guiming Shi, Kaisheng Ma |
| 2025 | HPCA | SoMa: Identifying, Exploring, and Understanding the DRAM Communication Scheduling Space for DNN Accelerators. | Jingwei Cai, Xuan Wang, Mingyu Gao, Sen Peng, Zijian Zhu, Yuchen Wei, Zuotong Wu, Kaisheng Ma |
| 2025 | ICASSP | Enhancing Vision: Harmonizing Frequency for Imaging Quality and Perception Accuracy. | Hongyang Chen, Kaisheng Ma |
| 2025 | ICML | MindCustomer: Multi-Context Image Generation Blended with Brain Signal. | Muzhou Yu, Shuyun Lin, Lei Ma, Bo Lei, Kaisheng Ma |
| 2025 | IROS | Benchmarking Long-Horizon Mobile Manipulation in Multi-Room Dynamic Environments. | Junbo Zhang, Kaisheng Ma |
| 2024 | AAAI | CutFreq: Cut-and-Swap Frequency Components for Low-Level Vision Augmentation. | Hongyang Chen, Kaisheng Ma |
| 2024 | AAAI | Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining. | Hongyang Chen, Hung-Shuo Tai, Kaisheng Ma |
| 2024 | ASPLOS | Cocco: Hardware-Mapping Co-Exploration towards Memory Capacity-Communication Optimization. | Zhanhong Tan, Zijian Zhu, Kaisheng Ma |
| 2024 | BMVC | DRAFT: Direct Radiance Fields Editing with Composable Operations. | Zhihan Cai, Kailu Wu, Dapeng Cao, Feng Chen, Kaisheng Ma |
| 2024 | CVPR | Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation. | Hongwei Yan, Liyuan Wang, Kaisheng Ma, Yi Zhong |
| 2024 | ECCV | ShapeLLM: Universal 3D Object Understanding for Embodied Interaction. | Zekun Qi, Runpei Dong, Shaochen Zhang, Haoran Geng, Chunrui Han, Zheng Ge, Li Yi, Kaisheng Ma |
| 2024 | HPCA | 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 |
| 2024 | ICCAD | Partial Differential Equation Acceleration by Exploiting Value Similarity. | Zehua Li, Kaisheng Ma |
| 2024 | ICCAD | LACO: A Latency-Constraint Offline Neural Network Scheduler towards Reliable Self-Driving Perception. | Kaisheng Ma, Zhanhong Tan, Zijian Zhu, Mengdi Wu |
| 2024 | ICLR | 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 |
| 2024 | ICPR | NAOL: NeRF-Assisted Omnidirectional Localization. | Muzhou Yu, Zhihan Cai, Kailu Wu, Dapeng Cao, Kaisheng Ma |
| 2024 | IROS | MG-VLN: Benchmarking Multi-Goal and Long-Horizon Vision-Language Navigation with Language Enhanced Memory Map. | Junbo Zhang, Kaisheng Ma |
| 2024 | MICRO | Ring Road: A Scalable Polar-Coordinate-based 2D Network-on-Chip Architecture. | Yinxiao Feng, Wei Li, Kaisheng Ma |
| 2024 | SC | Switch-Less Dragonfly on Wafers: A Scalable Interconnection Architecture based on Wafer-Scale Integration. | Yinxiao Feng, Kaisheng Ma |
| 2024 | USENIX | Evaluating Chiplet-based Large-Scale Interconnection Networks via Cycle-Accurate Packet-Parallel Simulation. | Yinxiao Feng, Yuchen Wei, Dong Xiang, Kaisheng Ma |
| 2023 | AAAI | Language-Assisted 3D Feature Learning for Semantic Scene Understanding. | Junbo Zhang, Guofan Fan, Guanghan Wang, Zhengyuan Su, Kaisheng Ma, Li Yi |
| 2023 | BMVC | Region-aware Knowledge Distillation for Efficient Image-to-Image Translation. | Linfeng Zhang, Xin Chen, Runpei Dong, Kaisheng Ma |
| 2023 | BMVC | 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 |
| 2023 | CVPR | PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection. | Linfeng Zhang, Runpei Dong, Hung-Shuo Tai, Kaisheng Ma |
| 2023 | HPCA | A Scalable Methodology for Designing Efficient Interconnection Network of Chiplets. | Yinxiao Feng, Dong Xiang, Kaisheng Ma |
| 2023 | ICCV | Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. | Linfeng Zhang, Kaisheng Ma |
| 2023 | ICLR | 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 |
| 2023 | ICLR | Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs. | Yu Duan, Zhongfan Jia, Qian Li, Yi Zhong, Kaisheng Ma |
| 2023 | ICML | 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 |
| 2023 | IJCNN | Revisiting Data Augmentation in Model Compression: An Empirical and Comprehensive Study. | Muzhou Yu, Linfeng Zhang, Kaisheng Ma |
| 2023 | ISCA | Inter-layer Scheduling Space Definition and Exploration for Tiled Accelerators. | Jingwei Cai, Yuchen Wei, Zuotong Wu, Sen Peng, Kaisheng Ma |
| 2023 | MICRO | Heterogeneous Die-to-Die Interfaces: Enabling More Flexible Chiplet Interconnection Systems. | Yinxiao Feng, Dong Xiang, Kaisheng Ma |
| 2022 | BMVC | LW-ISP: A Lightweight Model with ISP and Deep Learning. | Hongyang Chen, Kaisheng Ma |
| 2022 | CVPR | Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. | Thaddus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, Jrgen Beyerer |
| 2022 | CVPR | Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. | Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma |
| 2022 | CVPR | Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. | Junbo Zhang, Kaisheng Ma |
| 2022 | DAC | 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 |
| 2022 | DAC | Chiplet actuary: a quantitative cost model and multi-chiplet architecture exploration. | Yinxiao Feng, Kaisheng Ma |
| 2022 | ECCV | Contrastive Deep Supervision. | Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong, Kaisheng Ma |
| 2022 | ICML | Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks. | Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, Kaisheng Ma |
| 2022 | ICML | MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution. | Kailu Wu, Chung-Kuei Lee, Kaisheng Ma |
| 2022 | ICRA | SAFIT: Segmentation-Aware Scene Flow with Improved Transformer. | Yukang Shi, Kaisheng Ma |
| 2021 | BMVC | Multi-Glimpse Network: A Robust and Efficient Classification Architecture based on Recurrent Downsampled Attention. | Sia Huat Tan, Runpei Dong, Kaisheng Ma |
| 2021 | ICLR | Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors. | Linfeng Zhang, Kaisheng Ma |
| 2021 | ICLR | An Unsupervised Deep Learning Approach for Real-World Image Denoising. | Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao |
| 2021 | IJCNN | Wavelet J-Net: A Frequency Perspective on Convolutional Neural Networks. | Linfeng Zhang, Xiaoman Zhang, Chenglong Bao, Kaisheng Ma |
| 2021 | ISCA | NN-Baton: DNN Workload Orchestration and Chiplet Granularity Exploration for Multichip Accelerators. | Zhanhong Tan, Hongyu Cai, Runpei Dong, Kaisheng Ma |
| 2020 | AAAI | 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 |
| 2020 | CVPR | 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 |
| 2020 | CVPR | Auxiliary Training: Towards Accurate and Robust Models. | Linfeng Zhang, Muzhou Yu, Tong Chen, Zuoqiang Shi, Chenglong Bao, Kaisheng Ma |
| 2020 | DAC | 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 |
| 2020 | ECCV | 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 |
| 2019 | ICCV | 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 |
| 2019 | ICCV | 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 |
| 2019 | ICONIP | Gated Contiguous Memory U-Net for Single Image Dehazing. | Lei Xiang, Hang Dong, Fei Wang, Yu Guo, Kaisheng Ma |
| 2018 | ASPLOS | 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 |
| 2018 | ISLPED | 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 |
| 2017 | ASPDAC | 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 |
| 2017 | DATE | Nonvolatile processors: Why is it trending? | Fang Su, Kaisheng Ma, Xueqing Li, Tongda Wu, Yongpan Liu, Vijaykrishnan Narayanan |
| 2017 | MICRO | Incidental computing on IoT nonvolatile processors. | Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, Jack Sampson, Mahmut Taylan Kandemir, Vijaykrishnan Narayanan |
| 2016 | DAC | 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 |
| 2015 | DAC | 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 |
| 2015 | HPCA | 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 |
| 2015 | ICCAD | 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 |
| 2013 | ISCAS | 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 |