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Tianshu Feng
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2020 – today
- 2024
- [c5]Yuda Shao, Shan Yu, Tianshu Feng:
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation. AISTATS 2024: 2656-2664 - [i5]Yuda Shao, Shan Yu, Tianshu Feng:
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation. CoRR abs/2403.06302 (2024) - [i4]Tianshu Feng, Rohan Gnanaolivu, Abolfazl Safikhani, Yuanhang Liu, Jun Jiang, Nicholas Chia, Alexander Partin, Priyanka Vasanthakumari, Yitan Zhu, Chen Wang:
Variational and Explanatory Neural Networks for Encoding Cancer Profiles and Predicting Drug Responses. CoRR abs/2407.04486 (2024) - 2023
- [c4]Yuqing Zhou, Tianshu Feng, Mingrui Liu, Ziwei Zhu:
A Generalized Propensity Learning Framework for Unbiased Post-Click Conversion Rate Estimation. CIKM 2023: 3554-3563 - 2022
- [c3]Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. ICLR 2022 - [i3]Qiang Meng, Feng Zhou, Hainan Ren, Tianshu Feng, Guochao Liu, Yuanqing Lin:
Improving Federated Learning Face Recognition via Privacy-Agnostic Clusters. CoRR abs/2201.12467 (2022) - [i2]Vijayan N. Nair, Tianshu Feng, Linwei Hu, Zach Zhang, Jie Chen, Agus Sudjianto:
Explaining Adverse Actions in Credit Decisions Using Shapley Decomposition. CoRR abs/2204.12365 (2022) - [i1]Tianshu Feng, Zhipu Zhou, Tarun Joshi, Vijayan N. Nair:
Comparing Baseline Shapley and Integrated Gradients for Local Explanation: Some Additional Insights. CoRR abs/2208.06096 (2022) - 2021
- [j2]Tianshu Feng, Jaime I. Dávila, Yuanhang Liu, Sangdi Lin, Shuai Huang, Chen Wang:
Semi-Supervised Topological Analysis for Elucidating Hidden Structures in High-Dimensional Transcriptome Datasets. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1620-1631 (2021)
2010 – 2019
- 2019
- [j1]Tianshu Feng, Xiaoning Qian, Kaibo Liu, Shuai Huang:
Dynamic Inspection of Latent Variables in State-Space Systems. IEEE Trans Autom. Sci. Eng. 16(3): 1232-1243 (2019) - 2015
- [c2]Tianshu Feng, Fuzhen Zhuang, Qing He:
Improving ESVM with Generalized Cross-Validation. IJCNN 2015: 1-8 - [c1]Xinyu Wu, Ping Luo, Qing He, Tianshu Feng, Fuzhen Zhuang:
Festival, Date and Limit Line: Predicting Vehicle Accident Rate in Beijing. SDM 2015: 945-953
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last updated on 2024-08-25 19:08 CEST by the dblp team
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