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Jiawei Li 0006
Person information
- affiliation: Tsinghua University, Shenzhen, China
Other persons with the same name
- Jiawei Li — disambiguation page
- Jiawei Li 0001 — University of Nottingham Ningbo China, Ningbo, China
- Jiawei Li 0002 — Beijing Jiaotong University, Beijing, China
- Jiawei Li 0003 — Hong Kong Baptist University, Hong Kong, China
- Jiawei Li 0004 — North China Electric Power University, Beijing, China
- Jiawei Li 0005 — Air Force Early Warning Academy, Wuhan, China
- Jiawei Li 0007 — South China Normal University, Guangzhou, China
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2020 – today
- 2024
- [c15]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia:
CAGEN: Controllable Anomaly Generator using Diffusion Model. ICASSP 2024: 3110-3114 - [c14]Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia:
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. IJCAI 2024: 7780-7787 - [c13]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Bin Chen, Shu-Tao Xia:
IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. ACM Multimedia 2024: 10229-10237 - [i7]Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu:
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models. CoRR abs/2406.05491 (2024) - 2023
- [c12]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. AAAI 2023: 4322-4329 - [c11]Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia:
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. ICCV 2023: 6759-6768 - [c10]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. ICIP 2023: 1080-1084 - [i6]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shutao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. CoRR abs/2303.17505 (2023) - 2022
- [j3]Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
Multinomial random forest. Pattern Recognit. 122: 108331 (2022) - [i5]Jiawei Li, Bolin Jiang, Yan Liu, Chengxiao Luo, Naiqi Li, Bin Chen:
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation. CoRR abs/2208.04173 (2022) - [i4]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai. CoRR abs/2209.02514 (2022) - 2021
- [c9]Tianlei Zhu, Jiawei Li, Xinji Liu, Yong Jiang, Shu-Tao Xia:
Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing. ICASSP 2021: 3300-3304 - 2020
- [j2]Jiawei Li, Yiming Li, Xingchun Xiang, Shu-Tao Xia, Siyi Dong, Yun Cai:
TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation. Entropy 22(11): 1203 (2020) - [c8]Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia:
Multitask Deep Learning for Edge Intelligence Video Surveillance System. INDIN 2020: 579-584 - [c7]Jiawei Li, Shu-Tao Xia, Qianggang Ding:
Multi-level Recognition on Falls from Activities of Daily Living. ICMR 2020: 464-471 - [i3]Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia:
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning. CoRR abs/2008.09413 (2020) - [i2]Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia:
JSRT: James-Stein Regression Tree. CoRR abs/2010.09022 (2020)
2010 – 2019
- 2019
- [j1]Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia:
UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble. Aust. J. Intell. Inf. Process. Syst. 15(2): 86-93 (2019) - [c6]Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, Shu-Tao Xia:
RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection. ICME Workshops 2019: 13-18 - [c5]Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia:
Self-attentive Pyramid Network for Single Image De-raining. ICONIP (1) 2019: 390-401 - [c4]Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia:
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling. VCIP 2019: 1-4 - [i1]Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia:
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness. CoRR abs/1903.05965 (2019) - 2018
- [c3]Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia:
Sure-Based Dual Domain Image Denoising. ICASSP 2018: 1418-1422 - [c2]Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia:
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels. ICIP 2018: 21-25 - [c1]Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia:
Portrait-Aware Artistic Style Transfer. ICIP 2018: 2117-2121
Coauthor Index
aka: Shu-Tao Xia
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last updated on 2025-01-09 19:29 CET by the dblp team
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