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Shixiang Zhu
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2020 – today
- 2024
- [i22]Shuyi Chen, Shixiang Zhu:
Counterfactual Fairness through Transforming Data Orthogonal to Bias. CoRR abs/2403.17852 (2024) - [i21]Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng:
TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing. CoRR abs/2406.16028 (2024) - 2023
- [i20]Zheng Dong, Zekai Fan, Shixiang Zhu:
Conditional Generative Modeling is All You Need for Marked Temporal Point Processes. CoRR abs/2305.12569 (2023) - [i19]Shenghao Wu
, Wenbin Zhou, Minshuo Chen, Shixiang Zhu:
Counterfactual Generative Models for Time-Varying Treatments. CoRR abs/2305.15742 (2023) - [i18]Shuyi Chen, Kaize Ding, Shixiang Zhu:
Uncertainty-Aware Robust Learning on Noisy Graphs. CoRR abs/2306.08210 (2023) - [i17]Song Wei, Xiangrui Kong, Sarah A. Huestis-Mitchell, Shixiang Zhu, Yao Xie, Álinson Santos Xavier, Feng Qiu:
Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets. CoRR abs/2310.03258 (2023) - [i16]Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu:
Bayesian Optimization with Hidden Constraints via Latent Decision Models. CoRR abs/2310.18449 (2023) - 2022
- [b1]Shixiang Zhu:
Statistical Learning and Decision Making for Spatio-Temporal Data. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [j10]Shixiang Zhu
, He Wang
, Yao Xie
:
Data-Driven Optimization for Atlanta Police-Zone Design. INFORMS J. Appl. Anal. 52(5): 412-432 (2022) - [j9]Shixiang Zhu
, Alexander Bukharin
, Liyan Xie
, Khurram Yamin
, Shihao Yang, Pinar Keskinocak, Yao Xie
:
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. IEEE J. Sel. Top. Signal Process. 16(2): 250-260 (2022) - [j8]Josh Kacher
, Yao Xie, Sven P. Voigt, Shixiang Zhu
, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi:
In Situ Transmission Electron Microscopy: Signal processing challenges and examples. IEEE Signal Process. Mag. 39(1): 89-103 (2022) - [j7]Shixiang Zhu
, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck
, Yao Xie
:
Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling. IEEE Trans. Intell. Transp. Syst. 23(7): 7298-7309 (2022) - [j6]Shixiang Zhu
, Shuang Li, Zhigang Peng, Yao Xie
:
Imitation Learning of Neural Spatio-Temporal Point Processes. IEEE Trans. Knowl. Data Eng. 34(11): 5391-5402 (2022) - [c13]Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie:
Neural Spectral Marked Point Processes. ICLR 2022 - [c12]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally robust weighted k-nearest neighbors. NeurIPS 2022 - 2021
- [j5]Shixiang Zhu
, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie
:
High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S. ACM Trans. Manag. Inf. Syst. 12(4): 33:1-33:20 (2021) - [c11]Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie:
Deep Fourier Kernel for Self-Attentive Point Processes. AISTATS 2021: 856-864 - [c10]Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie:
Goodness-of-Fit Test for Mismatched Self-Exciting Processes. AISTATS 2021: 1243-1251 - [c9]Shixiang Zhu
, Henry Shaowu Yuchi, Minghe Zhang, Yao Xie:
Sequential Adversarial Anomaly Detection with Deep Fourier Kernel. ICASSP 2021: 3345-3349 - [i15]Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie:
Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. CoRR abs/2102.05028 (2021) - [i14]Shixiang Zhu, He Wang, Yao Xie:
Data-Driven Optimization for Police Zone Design. CoRR abs/2104.00535 (2021) - [i13]Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi:
Harvesting data revolution for transmission electron microscopy (TEM) using signal processing. CoRR abs/2104.08688 (2021) - [i12]Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie:
Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. CoRR abs/2106.00072 (2021) - [i11]Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie:
Neural Spectral Marked Point Processes. CoRR abs/2106.10773 (2021) - 2020
- [c8]Shixiang Zhu
, Henry Shaowu Yuchi, Yao Xie:
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. ICASSP 2020: 8921-8925 - [i10]Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie:
Deep Attention Spatio-Temporal Point Processes. CoRR abs/2002.07281 (2020) - [i9]Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie:
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling. CoRR abs/2005.08665 (2020) - [i8]Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie:
Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. CoRR abs/2006.04004 (2020) - [i7]Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie:
Goodness-of-Fit Test for Self-Exciting Processes. CoRR abs/2006.09439 (2020)
2010 – 2019
- 2019
- [c7]Shixiang Zhu
, Yao Xie:
Crime Event Embedding with Unsupervised Feature Selection. ICASSP 2019: 3922-3926 - [i6]Shixiang Zhu, Yao Xie:
Crime Linkage Detection by Spatio-Temporal-Textual Point Processes. CoRR abs/1902.00440 (2019) - [i5]Shixiang Zhu, Shuang Li, Yao Xie:
Reinforcement Learning of Spatio-Temporal Point Processes. CoRR abs/1906.05467 (2019) - [i4]Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie:
Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. CoRR abs/1910.09161 (2019) - 2018
- [c6]Shixiang Zhu
, Yao Xie:
Crime Incidents Embedding Using Restricted Boltzmann Machines. ICASSP 2018: 2376-2380 - [c5]Yang Cao, Shixiang Zhu
, Yao Xie, Jordan Key, Josh Kacher
, Raymond R. Unocic, Christopher M. Rouleau
:
Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM). ICASSP 2018: 2716-2720 - [c4]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. NeurIPS 2018: 10804-10814 - [i3]Shixiang Zhu, Yao Xie:
Crime Event Embedding with Unsupervised Feature Selection. CoRR abs/1806.06095 (2018) - [i2]Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song:
Learning Temporal Point Processes via Reinforcement Learning. CoRR abs/1811.05016 (2018) - 2017
- [j4]Hua Zhang, Shixiang Zhu, Xiao Ma, Jun Zhao, Zeng Shou:
A Novel RNN-GBRBM Based Feature Decoder for Anomaly Detection Technology in Industrial Control Network. IEICE Trans. Inf. Syst. 100-D(8): 1780-1789 (2017) - [c3]Hengyang Zhang, Tao Huang, Yunjie Liu, Shixiang Zhu, Guan Gui, Yuanying Chi:
Senz: A Context Awareness Middleware System Used in Mobile Devices. VTC Spring 2017: 1-7 - [i1]Shixiang Zhu, Yao Xie:
Crime incidents embedding using restricted Boltzmann machines. CoRR abs/1710.10513 (2017) - 2016
- [j3]Hengyang Zhang
, Renchao Xie, Shixiang Zhu, Tao Huang, Yunjie Liu:
DENA: An Intelligent Content Discovery System Used in Named Data Networking. IEEE Access 4: 9093-9107 (2016) - 2015
- [j2]Tao Jing, Xuewei Cui, Wei Cheng, Shixiang Zhu, Yan Huo, Xiuzhen Cheng:
Enabling smartphone-based HD video chats by cooperative transmissions in CRNs. EURASIP J. Wirel. Commun. Netw. 2015: 45 (2015) - [j1]Tao Jing, Shixiang Zhu, Hongjuan Li
, Xiaoshuang Xing, Xiuzhen Cheng, Yan Huo
, Rongfang Bie, Taieb Znati:
Cooperative Relay Selection in Cognitive Radio Networks. IEEE Trans. Veh. Technol. 64(5): 1872-1881 (2015) - 2014
- [c2]Tao Jing, Xuewei Cui, Wei Cheng, Shixiang Zhu, Yan Huo:
Enabling Smartphone Based HD Video Chats by Cooperative Transmissions in CRNs. WASA 2014: 636-647 - 2013
- [c1]Tao Jing, Shixiang Zhu, Hongjuan Li
, Xiuzhen Cheng, Yan Huo:
Cooperative relay selection in cognitive radio networks. INFOCOM 2013: 175-179
Coauthor Index
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last updated on 2024-08-16 18:31 CEST by the dblp team
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