- 1784. Zhouzi Li, Zixuan Wang, Jian Li.. Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability.. NeurIPS 2022.
- 1783. Zhiyuan Fan, Jian Li.. Efficient Algorithms for Sparse Moment Problems without Separation.. .
- 1782. Tianping Zhang, Yizhuo Zhang, Wei Cao, Jiang Bian, Xiaohan Yi, Shun Zheng, Jian Li.. Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures.. .
- 1781. Zeng, Liang, Lei Wang, Hui Niu, Jian Li, Ruchen Zhang, Zhonghao Dai, Dewei Zhu, and Ling Wang.. Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Adaptive Refined Labeling.. .
- 1780. Yiming Chen, Guodong Yin, Zhanhong Tan, Ming-En Lee, Zekun Yang, Yongpan Liu, Huazhong Yang, Kaisheng Ma, and Xueqing Li.. YOLoC: Deploy Large-Scale Neural Network by ROM-Based Computing-in-Memory Using Residual Branch on a Chip. Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022..
- 1779. Yinxiao Feng, and Kaisheng Ma.. Chiplet Actuary: A Quantitative Cost Model and Multi-Chiplet Architecture Exploration. Proceedings of the 59th ACM/IEEE Design Automation Conference, 121–26, 2022..
- 1778. YuKang Shi, Kaisheng Ma,. SAFIT: Segmentation-Aware Scene Flow with Improved Transformer,. International Conference on Robotics and Automation (2022).
- 1777. Thaddäus Wiedemer, Stefan Wolf, Arne Schumann, Kaisheng Ma, and Jurgen Beyerer. Few-Shot Supervised Prototype Alignment for Pedestrian Detection on Fisheye Images. Proceedings 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 4141–52, 2022..
- 1776. 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, and Yanzhi Wang.. Non-Structured DNN Weight Pruning—Is It Beneficial in Any Platform?. IEEE Transactions on Neural Networks and Learning Systems, 33:4930–44, 2022..
- 1775. Linfeng Zhang, Chenglong Bao, and Kaisheng Ma. Self-Distillation: Towards Efficient and Compact Neural Networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44:4388–4403, 2022..
- 1774. Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, and Kaisheng Ma,. Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation,. IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022).
- 1773. Dihan Zheng, Xiaowen Zhang, Kaisheng Ma, and Chenglong Bao. Learn from Unpaired Data for Image Restoration: A Variational Bayes Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022..
- 1772. Tongda Wu, Kaisheng Ma, Jingtong Hu, Jason Xue, Jinyang Li, Xin Shi, Huazhong Yang, and Yongpan Liu.. Reliable and Efficient Parallel Checkpointing Framework for Nonvolatile Processor With Concurrent Peripherals. IEEE Transactions on Circuits and Systems I: Regular Papers, 1–13, 2022..
- 1771. Runpei Dong, Zhanhong Tan, Mengdi Wu, Linfeng Zhang, and Kaisheng Ma,. Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks,. International Conference on Machine Learning (2022).
- 1770. Kailu Wu, Chung-Kuei Lee, and Kaisheng Ma,. MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution,. International Conference on Machine Learning (2022).
- 1769. Junbo Zhang, Kaisheng Ma,. Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views,. IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022).
- 1768. Linfeng Zhang, Kaisheng Ma，. A Good Data Augmentation Policy Is Not All You Need: A Multi-Task Learning Perspective，. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
- 1767. Linfeng Zhang, Xin Chen, Junbo Zhang, Runpei Dong and Kaisheng Ma,. Contrastive Deep Supervision,. European Conference on Computer Vision (2022).
