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Shaojie Li
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Journal Articles
- 2024
- [j16]An Luo, Liang Zhong, Jianglin Wang, Yue Wang, Shaojie Li, Weipeng Tai:
Short-Term Stock Correlation Forecasting Based on CNN-BiLSTM Enhanced by Attention Mechanism. IEEE Access 12: 29617-29632 (2024) - [j15]Shaojie Li, Shuang-xi Zhang, Yuchen Lin, Hongtao Zhan, Shuai Wan, Shaohui Mei:
Channel Error Estimation Algorithm for Multichannel in Azimuth HRWS SAR System Based on a 3-D Deep Learning Scheme. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 15243-15254 (2024) - 2023
- [j14]Shaojie Li, Yong Liu:
Learning Rates for Nonconvex Pairwise Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9996-10011 (2023) - [j13]Shaojie Li, Mingbao Lin, Yan Wang, Fei Chao, Ling Shao, Rongrong Ji:
Learning Efficient GANs for Image Translation via Differentiable Masks and Co-Attention Distillation. IEEE Trans. Multim. 25: 3180-3189 (2023) - [j12]Shaojie Li, Mingbao Lin, Yan Wang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8743-8752 (2023) - 2022
- [j11]Shaojie Li, Wei Li, Zejian Xing, Wenjie Yuan, Xiangyu Wei, Xiaowei Zhang, Bin Hu:
A personality-guided affective brain - computer interface for implementation of emotional intelligence in machines. Frontiers Inf. Technol. Electron. Eng. 23(8): 1158-1173 (2022) - [j10]Jiani Ma, Lin Zhang, Shaojie Li, Hui Liu:
BRPCA: Bounded Robust Principal Component Analysis to Incorporate Similarity Network for N7-Methylguanosine(m7G) Site-Disease Association Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19(6): 3295-3306 (2022) - [j9]Shuang-xi Zhang, Zheyi Jiang, Junli Chen, Shaojie Li, Yanyang Liu, Rui Guo, Mengdao Xing:
An Effective Clutter Suppression Approach Based on Null-Space Technique for the Space-Borne Multichannel in Azimuth High-Resolution and Wide-Swath SAR System. IEEE Trans. Geosci. Remote. Sens. 60: 1-28 (2022) - [j8]Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7091-7100 (2022) - [j7]Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Network Pruning Using Adaptive Exemplar Filters. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7357-7366 (2022) - 2021
- [j6]Shaojie Li, Shaohui Mei, Shuang-xi Zhang, Shuai Wan, Tao Jia:
A Novel Compressive Sensing-Based Multichannel HRWS SAR Imaging Technique for Moving Targets. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 690-703 (2021) - [j5]Xiaowei Zhang, Jinyong Liu, Jian Shen, Shaojie Li, Kechen Hou, Bin Hu, Jin Gao, Tong Zhang, Bin Hu:
Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine. IEEE Trans. Cybern. 51(9): 4386-4399 (2021) - 2020
- [j4]Liangliang Huang, Huiyan Jiang, Shaojie Li, Zhiqi Bai, Jitong Zhang:
Two stage residual CNN for texture denoising and structure enhancement on low dose CT image. Comput. Methods Programs Biomed. 184: 105115 (2020) - [j3]Fengzhen Sun, Shaojie Li, Shaohua Wang, Qingjun Liu, Lixin Zhou:
CostNet: A Concise Overpass Spatiotemporal Network for Predictive Learning. ISPRS Int. J. Geo Inf. 9(4): 209 (2020) - 2019
- [j2]Shuang-xi Zhang, Shaojie Li, Yanyang Liu, Mengdao Xing, Junli Chen:
A Novel Azimuth Doppler Signal Reconstruction Approach for the GEO-LEO Bi-Static Multi-Channel HRWS SAR System. IEEE Access 7: 39539-39546 (2019) - [j1]Shaojie Li, Shaohua Wang, Yong Guan, Zhiyan Xie, Kejia Huang, Ming Wen, Lixin Zhou:
A High-performance Cross-platform Map Rendering Engine for Mobile Geographic Information System (GIS). ISPRS Int. J. Geo Inf. 8(10): 427 (2019)
Conference and Workshop Papers
- 2024
- [c25]Shaojie Li, Yong Liu:
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables. ICML 2024 - [c24]Shaojie Li, Bowei Zhu, Yong Liu:
Algorithmic Stability Unleashed: Generalization Bounds with Unbounded Losses. ICML 2024 - [c23]Pengfei Chen, Ting Lu, Xinyan Li, Shaojie Li, Yihao Wu, Jian Xiao:
A Multi-Temporal Remote Sensing Image Dataset for Building Change Detection in Chinese Regions. IGARSS 2024: 10044-10047 - [c22]Bowei Zhu, Shaojie Li, Yong Liu:
Towards Sharper Risk Bounds for Minimax Problems. IJCAI 2024: 5698-5706 - 2023
- [c21]Shaojie Li, Sheng Ouyang, Yong Liu:
Understanding the Generalization Performance of Spectral Clustering Algorithms. AAAI 2023: 8614-8621 - [c20]Yifeng Shi, Feng Lv, Xinliang Wang, Chunlong Xia, Shaojie Li, Shujie Yang, Teng Xi, Gang Zhang:
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation. CVPR Workshops 2023: 6328-6335 - [c19]Shaojie Li, Yong Liu:
High Probability Analysis for Non-Convex Stochastic Optimization with Clipping. ECAI 2023: 1406-1413 - [c18]Zhiming Lu, Ying Chen, Shaojie Li, Ming Ma:
SDGC-YOLOv5: A More Accurate Model for Small Object Detection. ICANN (7) 2023: 199-209 - [c17]Xu Guo, Ming Ma, Jiaqiang Zhang, Shaojie Li:
YOLOX-B: A Better Yolox Model for Real-Time Driver Behavior Detection. ICASSP 2023: 1-5 - [c16]Yifan Zhang, Shaojie Li, Xuan Yang:
Knowledge Distillation with Active Exploration and Self-Attention Based Inter-Class Variation Transfer for Image Segmentation. ICASSP 2023: 1-5 - [c15]Xiaolin Hu, Shaojie Li, Yong Liu:
Generalization Bounds for Federated Learning: Fast Rates, Unparticipating Clients and Unbounded Losses. ICLR 2023 - [c14]Shaojie Li, Yong Liu:
Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction. ICML 2023: 19789-19810 - [c13]Shaojie Li, Jiaqi Li, Jinxin Guo, Ming Ma:
META: Motion Excitation With Temporal Attention for Compressed Video Action Recognition. ICPADS 2023: 236-241 - [c12]Shaojie Li, Jinxin Guo, Jiaqiang Zhang, Xu Guo, Ming Ma:
IFF-Net: I-Frame Fusion Network for Compressed Video Action Recognition. SMC 2023: 2373-2378 - 2022
- [c11]Shaojie Li, Yifan Zhang, Xuan Yang:
Semi-Supervised Cardiac Image Segmentation Using a Bicycle VAE with Cross Prior Attention. BIBM 2022: 1603-1606 - [c10]Shaojie Li, Xiangfeng Luo, Zhenyu Zhang, Hang Yu, Shaorong Xie:
SNSE: State Novelty Sampling Exploration. CCIS 2022: 173-180 - [c9]Shaojie Li, Yong Liu:
High Probability Generalization Bounds with Fast Rates for Minimax Problems. ICLR 2022 - [c8]Shaojie Li, Yong Liu:
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails. ICML 2022: 12931-12963 - 2021
- [c7]Shaojie Li, Yifan Zhang, Xuan Yang:
Semi-supervised Cardiac MRI Segmentation Based on Generative Adversarial Network and Variational Auto-Encoder. BIBM 2021: 1402-1405 - [c6]Shaojie Li, Yong Liu:
Sharper Generalization Bounds for Clustering. ICML 2021: 6392-6402 - [c5]Shaojie Li, Yong Liu:
Towards Sharper Generalization Bounds for Structured Prediction. NeurIPS 2021: 26844-26857 - [c4]Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji:
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. NeurIPS 2021: 28560-28572 - 2019
- [c3]Jieqi Li, Shaojie Li, Qi Liu, Shaohui Mei:
A Novel Algorithm for HRRP Target Recognition Based on CNN. IoTaaS 2019: 397-404 - 2018
- [c2]Qi Liu, Shaojie Li, Shaohui Mei, Ruoqiao Jiang, Jieqi Li:
Feature Learning For SAR Images Using Convolutional Neural Network. IGARSS 2018: 7003-7006 - 2015
- [c1]Sheng Ding, Na Xia, Peipei Wang, Shaojie Li, Yuanxiao Ou:
Optimization Algorithm Based on SPSA in Multi-channel Multi-radio Wireless Monitoring Network. CyberC 2015: 517-524
Informal and Other Publications
- 2024
- [i15]Danqing Ma, Shaojie Li, Bo Dang, Hengyi Zang, Xinqi Dong:
Fostc3net: A Lightweight YOLOv5 Based On the Network Structure Optimization. CoRR abs/2403.13703 (2024) - [i14]Shaojie Li, Xinqi Dong, Danqing Ma, Bo Dang, Hengyi Zang, Yulu Gong:
Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research. CoRR abs/2403.14483 (2024) - [i13]Shaojie Li, Haichen Qu, Xinqi Dong, Bo Dang, Hengyi Zang, Yulu Gong:
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis. CoRR abs/2403.16212 (2024) - [i12]Shaojie Li, Zhaoshuo Diao:
EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysis. CoRR abs/2409.11817 (2024) - 2023
- [i11]Yifeng Shi, Feng Lv, Xinliang Wang, Chunlong Xia, Shaojie Li, Shujie Yang, Teng Xi, Gang Zhang:
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation. CoRR abs/2304.06051 (2023) - [i10]Shaojie Li, Yong Liu:
High Probability Analysis for Non-Convex Stochastic Optimization with Clipping. CoRR abs/2307.13680 (2023) - [i9]Yuanfeng Wu, Shaojie Li, Zhiqiang Du, Wentao Zhu:
BROW: Better featuRes fOr Whole slide image based on self-distillation. CoRR abs/2309.08259 (2023) - 2022
- [i8]Shaojie Li, Sheng Ouyang, Yong Liu:
Understanding the Generalization Performance of Spectral Clustering Algorithms. CoRR abs/2205.00281 (2022) - 2021
- [i7]Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Non-Parametric Adaptive Network Pruning. CoRR abs/2101.07985 (2021) - [i6]Shaojie Li, Mingbao Lin, Yan Wang, Feiyue Huang, Yongjian Wu, Yonghong Tian, Ling Shao, Rongrong Ji:
Distilling a Powerful Student Model via Online Knowledge Distillation. CoRR abs/2103.14473 (2021) - [i5]Shaojie Li, Yong Liu:
Improved Learning Rates for Stochastic Optimization: Two Theoretical Viewpoints. CoRR abs/2107.08686 (2021) - [i4]Shaojie Li, Jie Wu, Xuefeng Xiao, Fei Chao, Xudong Mao, Rongrong Ji:
Revisiting Discriminator in GAN Compression: A Generator-discriminator Cooperative Compression Scheme. CoRR abs/2110.14439 (2021) - [i3]Shaojie Li, Yong Liu:
Learning Rates for Nonconvex Pairwise Learning. CoRR abs/2111.05232 (2021) - 2020
- [i2]Mingbao Lin, Rongrong Ji, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian:
Filter Sketch for Network Pruning. CoRR abs/2001.08514 (2020) - [i1]Shaojie Li, Mingbao Lin, Yan Wang, Mingliang Xu, Feiyue Huang, Yongjian Wu, Ling Shao, Rongrong Ji:
Learning Efficient GANs using Differentiable Masks and co-Attention Distillation. CoRR abs/2011.08382 (2020)
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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