Jiawei Li

30 papers A* 4B 4C 2Misc 4Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tail-Aware Post-Training Quantization for 3D Geometry Models.
CoRR
Sicheng Pan, Chen Tang, Shuzhao Xie, Ke Yang, Weixiang Zhang, Jiawei Li, Bin Chen, Shu-Tao Xia, Zhi Wang
2025 J jnl
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion.
CoRR
Jiaxin Hong, Sixu Chen, Shuoyang Sun, Hongyao Yu, Hao Fang, Yuqi Tan, Bin Chen, Shuhan Qi, Jiawei Li
2025 J jnl
RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization.
CoRR
Wen Huang, Jiarui Yang, Tao Dai, Jiawei Li, Shaoxiong Zhan, Bin Wang, Shu-Tao Xia
2025 Misc conf
RobNAS: Robust Neural Architecture Search for Point Cloud Adversarial Defense.
ICASSP
Shuoyang Sun, Kaiwen Zhang, Hao Fang, Bin Chen, Jiawei Li, Enze Huo, Shu-Tao Xia
2025 J jnl
Splatwizard: A Benchmark Toolkit for 3D Gaussian Splatting Compression.
CoRR
Xiang Liu, Yimin Zhou, Jinxiang Wang, Yujun Huang, Shuzhao Xie, Shiyu Qin, Mingyao Hong, Jiawei Li, Yaowei Wang, Zhi Wang, Shu-Tao Xia, Bin Chen
2024 Misc conf
CAGEN: Controllable Anomaly Generator using Diffusion Model.
ICASSP
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia
2024 A* conf
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process.
IJCAI
Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia
2024 A* conf
IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection.
ACM Multimedia
Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Bin Chen, Shu-Tao Xia
2024 J jnl
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models.
CoRR
Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu
2023 A* conf
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain.
AAAI
Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia
2023 B conf
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers.
ICIP
Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang
2023 J jnl
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers.
CoRR
Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shutao Xia, Zhi Wang
2023 A* conf
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model.
ICCV
Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia
2022 J jnl
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domai.
CoRR
Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia
2022 J jnl
Multinomial random forest.
Pattern Recognit.
Jiawang Bai, Yiming Li, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
2022 J jnl
SsaA: A Self-supervised auto-Annotation System for Online Visual Inspection and Manufacturing Automation.
CoRR
Jiawei Li, Bolin Jiang, Yan Liu, Chengxiao Luo, Naiqi Li, Bin Chen
2021 Misc conf
Attention on Attention Sparse Dense Convolutional Network for Financial Signal Processing.
ICASSP
Tianlei Zhu, Jiawei Li, Xinji Liu, Yong Jiang, Shu-Tao Xia
2020 J jnl
JSRT: James-Stein Regression Tree.
CoRR
Xingchun Xiang, Qingtao Tang, Huaixuan Zhang, Tao Dai, Jiawei Li, Shu-Tao Xia
2020 B conf
Multi-level Recognition on Falls from Activities of Daily Living.
ICMR
Jiawei Li, Shu-Tao Xia, Qianggang Ding
2020 C conf
Multitask Deep Learning for Edge Intelligence Video Surveillance System.
INDIN
Jiawei Li, Zhilong Zheng, Yiming Li, Rubao Ma, Shu-Tao Xia
2020 J jnl
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning.
CoRR
Yiming Li, Jiawang Bai, Jiawei Li, Xue Yang, Yong Jiang, Shu-Tao Xia
2020 J jnl
TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation.
Entropy
Jiawei Li, Yiming Li, Xingchun Xiang, Shu-Tao Xia, Siyi Dong, Yun Cai
2019 C conf
Making Large Ensemble of Convolutional Neural Networks via Bootstrap Re-sampling.
VCIP
Jiawei Li, Xingchun Xiang, Tao Dai, Shu-Tao Xia
2019 — conf
RT-ADI: Fast Real-Time Video Representation for Multi-view Human Fall Detection.
ICME Workshops
Qianggang Ding, Fan Yang, Jiawei Li, Sifan Wu, Bowen Zhao, Zhi Wang, Shu-Tao Xia
2019 J jnl
Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness.
CoRR
Jiawang Bai, Yiming Li, Jiawei Li, Yong Jiang, Shu-Tao Xia
2019 — conf
Self-attentive Pyramid Network for Single Image De-raining.
ICONIP (1)
Taian Guo, Tao Dai, Jiawei Li, Shu-Tao Xia
2019 J jnl
UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble.
Aust. J. Intell. Inf. Process. Syst.
Jiawei Li, Yiming Li, Jiacheng Yang, Taian Guo, Shu-Tao Xia
2018 B conf
Cyclic Annealing Training Convolutional Neural Networks for Image Classification with Noisy Labels.
ICIP
Jiawei Li, Tao Dai, Qingtao Tang, Yeli Xing, Shu-Tao Xia
2018 B conf
Portrait-Aware Artistic Style Transfer.
ICIP
Yeli Xing, Jiawei Li, Tao Dai, Qingtao Tang, Li Niu, Shu-Tao Xia
2018 Misc conf
Sure-Based Dual Domain Image Denoising.
ICASSP
Zhiya Xu, Tao Dai, Li Niu, Jiawei Li, Qingtao Tang, Shu-Tao Xia