Publication

I only list peer-reviewed papers which I contribute non-trivially.

[c12]. Xu, T., Zhu, Z., He, D., Li, Y., Guo, L., Wang, Y., ... & Zhang, Y. Q. (2024). Idempotence and Perceptual Image Compression. The Twelfth International Conference on Learning Representations.

[c11]. Li, Y., Xu, T., Wang, Y., Liu, J., & Zhang, Y. Q. (2024). Idempotent Learned Image Compression with Right-Inverse. Advances in Neural Information Processing Systems, 36.

[c10]. Lin, Y., Xu, T., Zhu, Z., Li, Y., Wang, Z., & Wang, Y. (2023, June). Your Camera Improves Your Point Cloud Compression. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1-5). IEEE.

[c9]. Xu, T.*, Gao, H.*, Gao, C., Pi, J., Li, Y., Wang, Y., ... & Wang, Y. (2022). Bit allocation using optimization. International Conference on Machine Learning. (*equal contribution) [pdf] [code]

[c8]. Gao, C.*, Xu, T*., He, D., Wang, Y., Qin, H. (2022). Flexible Neural Image Compression via Code Editing. Advances in Neural Information Processing Systems.(*equal contribution) [pdf]

[c7]. Xu, T., Wang, Y., He, D., Gao, C., Gao, H., Liu, K. Qin, H. (2022). Multiple-sample Neural Image Compression. Advances in Neural Information Processing Systems. [pdf]

[c6]. Xu, T., Shao, Y., Wang, Y. & Qin, H. (2022). Spatial Moment Pooling Improves Neural Image Assessment. In 2022 IEEE International Conference on Image Processing (ICIP). IEEE. [pdf]

[c5]. He, D., Yang, Z., Yu, H., Xu, T., Luo, J., Chen, Y., ... & Wang, Y. (2022). PO-ELIC: Perception-Oriented Efficient Learned Image Coding. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition workshop (pp. 1764-1769). [pdf]

[c4]. Aristizabal, O., Turnbull, D. H., Ketterling, J. A., Wang, Y., Qiu, Z., Xu, T., ... & Mamou, J. (2020, September). Scanner Independent Deep Learning-Based Segmentation Framework Applied to Mouse Embryos. In 2020 IEEE International Ultrasonics Symposium (IUS) (pp. 1-4). IEEE.

[j1]. Qiu, Z., Xu, T., Langerman, J., Das, W., Wang, C., Nair, N., ... & Wang, Y. (2021). A Deep Learning Approach for Segmentation, Classification and Visualization of 3D High Frequency Ultrasound Images of Mouse Embryos. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[c3]. Xu, T.*, Qiu, Z.*, Das, W., Wang, C., Langerman, J., Nair, N., ... & Wang, Y. (2020, April). Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes. In 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI) (pp. 122-126). IEEE.(*equal contribution)

[c2]. Xu, T., Cai, X., Wang, Y., Wang, X., Chung, S., Fieremans, E., ... & Lui, Y. W. (2019). Identification of relevant diffusion MRI metrics impacting cognitive functions using a novel feature selection method. In 2019 IEEE Signal Processing in Medicine and Biology Symposium (SPMB) Conference Proceedings (pp. 1-6), Philadelphia, PA, USA, 2019. IEEE.

[c1]. Xu, T., Wang, D., & You, X. (2018, October). Mindgame: Mediating People's EEG Alpha Band Power through Reinforcement Learning. In The 31st Annual ACM Symposium on User Interface Software and Technology Adjunct Proceedings (pp. 5-6). ACM.