Shixiang Zhu

According to our database, Shixiang Zhu authored at least 44 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation.

Michael Lingzhi Li, Shixiang Zhu

CoRR, 2024

New User Event Prediction Through the Lens of Causal Inference.

Henry Shaowu Yuchi, Shixiang Zhu, Li Dong, Yigit M. Arisoy, Matthew C. Spencer

CoRR, 2024

TimeAutoDiff: Combining Autoencoder and Diffusion model for time series tabular data synthesizing.

Namjoon Suh, Yuning Yang, Din-Yin Hsieh, Qitong Luan, Shirong Xu, Shixiang Zhu, Guang Cheng

CoRR, 2024

Counterfactual Fairness through Transforming Data Orthogonal to Bias.

Shuyi Chen, Shixiang Zhu

CoRR, 2024

A 4D Entangled Memristor Hyperchaotic System and Its New Predefined-Time Sliding Mode Synchronization Control.

Shixiang Zhu, Qingke Lu, Yuming Feng, Dongfang Yan

IEEE Access, 2024

Counterfactual Generative Models for Time-Varying Treatments.

Shenghao Wu, Wenbin Zhou, Minshuo Chen, Shixiang Zhu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Bayesian Optimization with Hidden Constraints via Latent Decision Models.

Wenqian Xing, Jungho Lee, Chong Liu, Shixiang Zhu

CoRR, 2023

Detecting Electricity Service Equity Issues with Transfer Counterfactual Learning on Large-Scale Outage Datasets.

Song Wei, Xiangrui Kong, Sarah A. Huestis-Mitchell, Shixiang Zhu, Yao Xie, Álinson Santos Xavier, Feng Qiu

CoRR, 2023

Uncertainty-Aware Robust Learning on Noisy Graphs.

Shuyi Chen, Kaize Ding, Shixiang Zhu

CoRR, 2023

Conditional Generative Modeling is All You Need for Marked Temporal Point Processes.

Zheng Dong, Zekai Fan, Shixiang Zhu

CoRR, 2023

2022

Statistical Learning and Decision Making for Spatio-Temporal Data.

Shixiang Zhu

PhD thesis, 2022

Imitation Learning of Neural Spatio-Temporal Point Processes.

Shixiang Zhu, Shuang Li, Zhigang Peng, Yao Xie

IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling.

Shixiang Zhu, Ruyi Ding, Minghe Zhang, Pascal Van Hentenryck, Yao Xie

IEEE Trans. Intell. Transp. Syst., 2022

In Situ Transmission Electron Microscopy: Signal processing challenges and examples.

Josh Kacher, Yao Xie, Sven P. Voigt, Shixiang Zhu, Henry Shaowu Yuchi, Jordan Key, Surya R. Kalidindi

IEEE Signal Process. Mag., 2022

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

Shixiang Zhu, Alexander Bukharin, Liyan Xie, Khurram Yamin, Shihao Yang, Pinar Keskinocak, Yao Xie

IEEE J. Sel. Top. Signal Process., 2022

Data-Driven Optimization for Atlanta Police-Zone Design.

Shixiang Zhu, He Wang, Yao Xie

INFORMS J. Appl. Anal., 2022

Distributionally robust weighted k-nearest neighbors.

Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Spectral Marked Point Processes.

Shixiang Zhu, Haoyun Wang, Zheng Dong, Xiuyuan Cheng, Yao Xie

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

High-Resolution Spatio-Temporal Model for County-Level COVID-19 Activity in the U.S.

Shixiang Zhu, Alexander Bukharin, Liyan Xie, Mauricio Santillana, Shihao Yang, Yao Xie

ACM Trans. Manag. Inf. Syst., 2021

Neural Spectral Marked Point Processes.

Shixiang Zhu, Haoyun Wang, Xiuyuan Cheng, Yao Xie

CoRR, 2021

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data.

Shixiang Zhu, Alexander Bukharin, Liyan Xie, Shihao Yang, Pinar Keskinocak, Yao Xie

CoRR, 2021

Harvesting data revolution for transmission electron microscopy (TEM) using signal processing.

Shixiang Zhu, Sven P. Voigt, Henry Shaowu Yuchi, Jordan Key, Yao Xie, Josh Kacher, Surya R. Kalidindi

CoRR, 2021

Data-Driven Optimization for Police Zone Design.

Shixiang Zhu, He Wang, Yao Xie

CoRR, 2021

Balanced Districting on Grid Graphs with Provable Compactness and Contiguity.

Cyrus Hettle, Shixiang Zhu, Swati Gupta, Yao Xie

CoRR, 2021

Sequential Adversarial Anomaly Detection with Deep Fourier Kernel.

Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang, Yao Xie

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Fourier Kernel for Self-Attentive Point Processes.

Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Goodness-of-Fit Test for Mismatched Self-Exciting Processes.

Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Goodness-of-Fit Test for Self-Exciting Processes.

Song Wei, Shixiang Zhu, Minghe Zhang, Yao Xie

CoRR, 2020

Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning.

Shixiang Zhu, Liyan Xie, Minghe Zhang, Rui Gao, Yao Xie

CoRR, 2020

Deep Attention Spatio-Temporal Point Processes.

Shixiang Zhu, Minghe Zhang, Ruyi Ding, Yao Xie

CoRR, 2020

Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data.

Shixiang Zhu, Henry Shaowu Yuchi, Yao Xie

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Reinforcement Learning of Spatio-Temporal Point Processes.

Shixiang Zhu, Shuang Li, Yao Xie

CoRR, 2019

Crime Linkage Detection by Spatio-Temporal-Textual Point Processes.

Shixiang Zhu, Yao Xie

CoRR, 2019

Crime Event Embedding with Unsupervised Feature Selection.

Shixiang Zhu, Yao Xie

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Learning Temporal Point Processes via Reinforcement Learning.

Shuang Li, Shuai Xiao, Shixiang Zhu, Nan Du, Yao Xie, Le Song

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Crime Incidents Embedding Using Restricted Boltzmann Machines.

Shixiang Zhu, Yao Xie

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM).

Yang Cao, Shixiang Zhu, Yao Xie, Jordan Key, Josh Kacher, Raymond R. Unocic, Christopher M. Rouleau

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A Novel RNN-GBRBM Based Feature Decoder for Anomaly Detection Technology in Industrial Control Network.

Hua Zhang, Shixiang Zhu, Xiao Ma, Jun Zhao, Zeng Shou

IEICE Trans. Inf. Syst., 2017

Senz: A Context Awareness Middleware System Used in Mobile Devices.

Hengyang Zhang, Tao Huang, Yunjie Liu, Shixiang Zhu, Guan Gui, Yuanying Chi

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

2016

DENA: An Intelligent Content Discovery System Used in Named Data Networking.

Hengyang Zhang, Renchao Xie, Shixiang Zhu, Tao Huang, Yunjie Liu

IEEE Access, 2016

2015

Cooperative Relay Selection in Cognitive Radio Networks.

Tao Jing, Shixiang Zhu, Hongjuan Li, Xiaoshuang Xing, Xiuzhen Cheng, Yan Huo, Rongfang Bie, Taieb Znati

IEEE Trans. Veh. Technol., 2015

Enabling smartphone-based HD video chats by cooperative transmissions in CRNs.

Tao Jing, Xuewei Cui, Wei Cheng, Shixiang Zhu, Yan Huo, Xiuzhen Cheng

EURASIP J. Wirel. Commun. Netw., 2015

2014

Enabling Smartphone Based HD Video Chats by Cooperative Transmissions in CRNs.

Tao Jing, Xuewei Cui, Wei Cheng, Shixiang Zhu, Yan Huo

Proceedings of the Wireless Algorithms, Systems, and Applications, 2014

2013

Cooperative relay selection in cognitive radio networks.

Tao Jing, Shixiang Zhu, Hongjuan Li, Xiuzhen Cheng, Yan Huo

Proceedings of the IEEE INFOCOM 2013, Turin, Italy, April 14-19, 2013, 2013