Tao Tang

BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection

Mar 15, 2023
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen

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Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation

Feb 03, 2023
Zhiwei Gao, Tao Tang, Liang Yan, Tao Zhou

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Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery

Feb 01, 2023
Tao Tang, Simon Mak, David Dunson

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Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers

Oct 16, 2022
Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang

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BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

May 27, 2022
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang

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Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks

Feb 16, 2022
Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia

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* The 20th IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (2021)
* 8 pages, 5 figures

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CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs

Feb 16, 2022
Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong, Giles Oatley, Irwin King

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* IEEE Transactions on Knowledge and Data Engineering (2022)
* 16 pages, 8 figures

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BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Mar 24, 2021
Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang

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* Our searched hybrid CNN-transformer models achieve up to 82.2% accuracy on ImageNet, surpassing EfficientNet by 2.1% with comparable compute time

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Understanding the Advisor-advisee Relationship via Scholarly Data Analysis

Aug 20, 2020
Jiaying Liu, Tao Tang, Xiangjie Kong, Amr Tolba, Zafer AL-Makhadmeh, Feng Xia

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Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach

Mar 05, 2020
Peng Zhang, Jianbin Fang, Canqun Yang, Chun Huang, Tao Tang, Zheng Wang

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* Accepted to be published at IEEE TPDS. arXiv admin note: substantial text overlap with arXiv:1802.02760

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