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Shaobo Han
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2020 – today
- 2024
- [j4]Runfeng Xiao, Xiaoyan Zhou, Chan Zhang
, Xi Liu, Shaobo Han, Canyan Che:
Organic Thermoelectric Materials for Wearable Electronic Devices. Sensors 24(14): 4600 (2024) - [c18]Zhuocheng Jiang, Yangmin Ding, Junhui Zhao, Yue Tian, Shaobo Han, Sarper Ozharar, Ting Wang, James M. Moore:
Seeing the Vibration from Fiber-Optic Cables: Rain Intensity Monitoring using Deep Frequency Filtering. CVPR Workshops 2024: 3017-3026 - [c17]Zehao Wang, Yue-Kai Huang, Shaobo Han, Ting Wang, Dan Kilper, Tingjun Chen:
Multi-Span Optical Power Spectrum Prediction using ML-based EDFA Models and Cascaded Learning. OFC 2024: 1-3 - [i8]Yang Li, Shaobo Han, Shihao Ji:
VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks. CoRR abs/2405.15179 (2024) - 2023
- [c16]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang
Exploring Compositional Visual Generation with Latent Classifier Guidance. CVPR Workshops 2023: 853-862 - [c15]Fatih Yaman, Yang Li, Shaobo Han, Takanori Inoue, Eduardo Mateo, Yoshihisa Inada:
Polarization Sensing Using Polarization Rotation Matrix Eigenvalue Method. OFC 2023: 1-3 - [i7]Changhao Shi, Haomiao Ni, Kai Li, Shaobo Han, Mingfu Liang, Martin Renqiang Min:
Exploring Compositional Visual Generation with Latent Classifier Guidance. CoRR abs/2304.12536 (2023) - 2022
- [j3]Ezra Ip
Using Global Existing Fiber Networks for Environmental Sensing. Proc. IEEE 110(11): 1853-1888 (2022) - [c14]Zhili Feng, Shaobo Han, Simon Shaolei Du:
Provable Adaptation across Multiway Domains via Representation Learning. ICLR 2022 - [c13]Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas:
Learning Transferable Reward for Query Object Localization with Policy Adaptation. ICLR 2022 - [c12]Ting Wang, Ming-Fang Huang, Shaobo Han, Chaitanya Narisetty:
Employing Fiber Sensing and On-Premise AI Solutions for Cable Safety Protection over Telecom Infrastructure. OFC 2022: 1-3 - [c11]Ming-Fang Huang, Jian Fang, Shaobo Han, Ezra Ip, Yue-Kai Huang, Ting Wang:
Evolution of Fiber Infrastructure - From Data Transmission to Network Sensing. OECC/PSC 2022: 1-3 - [c10]Ming-Fang Huang, Jian Fang, Shaobo Han, Zhuocheng Jiang, Sarper Ozharar, Yuheng Chen, Tomoyuki Hino, Ting Wang:
Field Tests of Impulsive Acoustic Event Detection, Localization, and Classification Over Telecom Fiber Networks. OECC/PSC 2022: 1-3 - [i6]Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas:
Learning Transferable Reward for Query Object Localization with Policy Adaptation. CoRR abs/2202.12403 (2022) - 2021
- [c9]You Lu, Yue Tian, Shaobo Han, Eric Cosatto, Sarper Ozharar, Yangmin Ding:
Automatic Fine-Grained Localization of Utility Pole Landmarks on Distributed Acoustic Sensing Traces Based on Bilinear Resnets. ICASSP 2021: 4675-4679 - [c8]Tingfeng Li, Yuheng Chen, Ming-Fang Huang, Shaobo Han, Ting Wang:
Vehicle Run-off-Road Event Automatic Detection by Fiber Sensing Technology. OFC 2021: 1-3 - [c7]Tiejun J. Xia, Glenn A. Wellbrock, Ming-Fang Huang, Shaobo Han, Yuheng Chen, Milad Salemi, Philip N. Ji, Ting Wang, Yoshiaki Aono:
Field Trial of Abnormal Activity Detection and Threat Level Assessment with Fiber Optic Sensing for Telecom Infrastructure Protection. OFC 2021: 1-3 - [i5]Zhili Feng, Shaobo Han, Simon S. Du:
Provable Adaptation across Multiway Domains via Representation Learning. CoRR abs/2106.06657 (2021)
2010 – 2019
- 2019
- [i4]Shaobo Han, David B. Dunson:
Supervised Multiscale Dimension Reduction for Spatial Interaction Networks. CoRR abs/1901.00172 (2019) - 2018
- [i3]Shaobo Han, David B. Dunson:
Multiresolution Tensor Decomposition for Multiple Spatial Passing Networks. CoRR abs/1803.01203 (2018) - 2017
- [c6]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
VAE Learning via Stein Variational Gradient Descent. NIPS 2017: 4236-4245 - [i2]Yunchen Pu, Zhe Gan, Ricardo Henao, Chunyuan Li, Shaobo Han, Lawrence Carin:
Stein Variational Autoencoder. CoRR abs/1704.05155 (2017) - 2016
- [b1]Shaobo Han:
Bayesian Learning with Dependency Structures via Latent Factors, Mixtures, and Copulas. Duke University, Durham, NC, USA, 2016 - [c5]Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. AISTATS 2016: 829-838 - 2015
- [j2]Yan Kaganovsky, Shaobo Han, Soysal Degirmenci, David G. Politte, David J. Brady
Alternating Minimization Algorithm with Automatic Relevance Determination for Transmission Tomography under Poisson Noise. SIAM J. Imaging Sci. 8(3): 2087-2132 (2015) - [c4]Yan Kaganovsky, Soysal Degirmenci, Shaobo Han, Ikenna Odinaka, David G. Politte, David J. Brady
Alternating minimization algorithm with iteratively reweighted quadratic penalties for compressive transmission tomography. Medical Imaging: Image Processing 2015: 94130J - [i1]Shaobo Han, Xuejun Liao, David B. Dunson, Lawrence Carin:
Variational Gaussian Copula Inference. CoRR abs/1506.05860 (2015) - 2014
- [j1]Xin Yuan
Hierarchical Infinite Divisibility for Multiscale Shrinkage. IEEE Trans. Signal Process. 62(17): 4363-4374 (2014) - [c3]Shaobo Han, Lin Du, Esther Salazar, Lawrence Carin:
Dynamic Rank Factor Model for Text Streams. NIPS 2014: 2663-2671 - 2013
- [c2]Shaobo Han, Xuejun Liao, Lawrence Carin:
Integrated Non-Factorized Variational Inference. NIPS 2013: 2481-2489 - 2012
- [c1]Shaobo Han, Xuejun Liao, Lawrence Carin:
Cross-Domain Multitask Learning with Latent Probit Models. ICML 2012
Coauthor Index
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