About me

Ph.D. RA Positions: I am actively hiring Ph.D. students to join my group as research assistants. All the positions will be fully funded. The students will have a chance to be recommended to do a research internship at CMU or Amazon during summer. Interested students are encouraged to email your CV to: tw2@uab.edu .

Research Collaborations: If you are interested in a research collaboration, please do not hesitate to contact me via: toseattle 'AT' siu 'DOT' edu. We are always open to various fashions of collaborations.

Research (click for details)

Publications

Y. Zhao, H. Bian, M. Mu, M. Uddin, Z. Li, X. Li, T. Wang, and M. Xu. Training-free CryoET Tomogram Segmentation, accepted to International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024. MICCAI version

X. Li, P. Yang, Y. Gu, X. Zhan, T. Wang, M. Xu, and C. Xu. Deep Active Learning with Noise Stability, AAAI Conference on Artificial Intelligence (AAAI), 2024.

Y. Su, R. Zhou, S. Huang, X. Li, T. Wang, Z. Wang, and M. Xu. Multimodal Generalized Category Discovery, arXiv preprint, 2024.

Z. Fan, R. Jiang, J. Wu, X. Huang, T. Wang, H. Huang, and M. Xu. Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning, arXiv preprint, 2024.

Y. Ji, V.S. Kaza, N. Artham, and T. Wang. Deep Active Learning with Manifold-preserving Trajectory Sampling, arXiv preprint, 2024.

X. Xiao, W. Wang, J. Xie, L. Zhu, G. Chen, Z. Li, T. Wang, and M. Xu. HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction, accepted to International Conference on Neural Information Processing (ICONIP), 2024.

A. Deng, X. Li, D. Hu, T. Wang, H. Xiong, and C. Xu. Towards Inadequately Pre-trained Models in Transfer Learning, in Proc. IEEE International Conference on Computer Vision (ICCV), 2023.

Z. Zhang, X. Li, T. Wang, T. Hong, J. Ma, H. Xiong, and C. Xu. Overcoming Catastrophic Forgetting for Fine-tuning Pre-trained GANs, in Proc. European Conference on Machine Learning (ECML-PKDD), 2023.

J. Li, X. Li, T. Wang, S. Wang, Y. Cao, C. Xu, and D. Dou. Improving BERT Fine-tuning via Stabilizing Cross-layer Mutual Information, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023.

S. Huang, T. Wang, H. Xiong, B. Wen, J. Huan, and D. Dou. Temporal Output Discrepancy for Loss Estimation-based Active Learning, in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.

T. Wang, X. Li, P. Yang, G. Hu, X. Zeng, S. Huang, C. Xu, and M. Xu. Boosting Active Learning via Improving Test Performance, in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2022.

T. Wang, B. Li, J. Zhang, X. Zeng, M. Uddin, W. Wu, and M. Xu. Deep Active Learning for Cryo-Electron Tomography Classification, in Proc. IEEE International Conference on Image Processing (ICIP), 2022.

S. Huang, H. Xiong, T. Wang, B. Wen, Q. Wang, Z. Chen, J. Huan, and D. Dou. Parameter-Free Style Projection for Arbitrary Style Transfer, in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022.

A. Chharial, R. Upadhyay, V. Kumar, C. Cheng, J. Zhang, T. Wang, and M. Xu. Deep-Precognitive Diagnosis: Preventing Future Pandemics by Novel Disease Detection with Biologically-inspired Conv-Fuzzy Network, in IEEE Access, 2022.

S. Chandra, M. Gourisaria, H. GM, D. Konar, X. Gao, T. Wang, and M. Xu. Prolificacy Assessment of Spermatozoan via State-of-the-Art Deep Learning Frameworks, in IEEE Access, 2022.

S. Huang, T. Wang, H. Xiong, J. Huan, and D. Dou. Semi-Supervised Active learning with temporal Output Discrepancy, in Proc. IEEE International Conference on Computer Vision (ICCV), 2021.

K. Hu, D. Lee, and T. Wang. Single Image Super-resolution using Vectorization and Texture Synthesis , in Proc. International Conference on Computer Vision Theory and Applications (VISAPP), 2021.

J. Yuan, H. Abdul-Rashid, B. Li, ..., and T. Wang. A Comparison of Methods for 3D Scene Shape Retrieval , in Elsevier Journal of Computer Vision and Image Understanding (CVIU), 2020.

D. McGonigle, T. Wang, J. Yuan, K. He, and B. Li. I2S2: Image-to-Scene Sketch Translation Using Conditional Input and Adversarial Networks, in Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2020.

S. Li, M. Zhou, K. Ze, X. Sun, C. Zhao, Z. Li, H. Lu, Y. Jiao, T. Wang, S. Li, L. Hua, H. Cai, and X. Li. Protective Role of Histone Deacetylase 4 from Ultraviolet Radiation-Induced DNA Lesions, in Journal of Molecular Carcinogenesis, 2020.

J. Yuan, X. T. Wang, S. Zhe, Y. Lu, and B. Li. Semantic Tree-Based 3D Scene Model Recognition , in Proc. IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), 2020.

T. Wang, J. Huan, M. Zhu. Instance-based Deep Transfer Learning , in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

K. Hu, L. Yin, and T. Wang. Temporal Interframe Pattern Analysis for Static and Dynamic Hand Gesture Recognition, in Proc. IEEE International Conference on Image Processing (ICIP), 2019.

T. Wang, J. Huan, B. Li, and K. Hu. Rethink Gaussian Denoising Prior for Real-World Image Denoising, in Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2019.

H. Abdul-Rashid, J. Yuan, B. Li, ..., and T. Wang. SHREC’19 Track: Extended 2D Scene Image-Based 3D Scene Retrieval, in Proc. Eurographics Workshop on 3D Object Retrieval, 2019.

J. Yuan, H. Abdul-Rashid, B. Li, ..., and T. Wang. SHREC’19 Track: Extended 2D Scene Sketch-Based 3D Scene Retrieval, in Proc. Eurographics Workshop on 3D Object Retrieval, 2019.

T. Wang, J. Huan, and B. Li. Data Dropout: Optimizing Training Data for Convolutional Neural Networks, in Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2018.

T. Wang, M. Sun, and K. Hu. Dilated Deep Residual Network for Image Denoising, in Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI), 2017.

T. Wang, Z. Qin, and M. Zhu. An ELU Network with Total Variation for Image Denoising , in Proc. International Conference on Neural Information Processing (ICONIP), 2017.

T. Wang, Z. Qin. A Visual Perceptual Descriptor with Depth Feature for Image Retrieval, in Proc. SPIE International Conference on Digital Image Processing (ICDIP), 2017.

N. Mogharreban, T. Wang. Self-Adaptive Feature Selection Strategy for Multi-types Object Classification Problem, in Proc. International Conference on Artificial Intelligence, 2013.

H. Sun, Z. Fang, and T. Wang. CDHL: A Hybrid Range-Free Localization Algorithm in Wireless Sensor Networks, in Proc. International Conference on Frontier of Computer Science and Technology (FCST), 2010.

T. Wang, Z. Fang, L. Zhao, D. Zhao, P. Xu, J. Liu. Implementation of Collaborative Control in Supply Chain Management by Using DA and Workflow Technology, in Proc. International Conference on Information Technology: New Generations (ITNG), 2008.

Y. Ma, Z. Fang, J. Liu, and T. Wang. A Content-Based Multimedia Retrieval System Base on MPEG-7 Metadata Schema, in Proc. International Conference on Information Technology: New Generations (ITNG), 2008.

H. Zhao, Z. Fang, P. Xu, L. Zhao, J. Liu, and T. Wang. An Improved Role-Based Workflow Access Control Model, in Proc. International Conference on Information Technology: New Generations (ITNG), 2008.

Softwares

T. Wang, X. Li, P. Yang, G. Hu, X. Zeng, S. Huang, C. Xu, and M. Xu. AL-GradNorm.

S. Huang, T. Wang, H. Xiong, J. Huan, and D. Dou. TOD.

S. Huang, H. Xiong, T. Wang, B. Wen, Q. Wang, Z. Chen, J. Huan, and D. Dou. Stylepro_Artistic.

Z. Zhang, X. Li, T. Wang, T. Hong, J. Ma, H. Xiong, and C. Xu. TPG.

Services

Teaching