Cooperative relay selection in cognitive radio networks. - Tao Jing; Shixiang Zhu; Hongjuan Li; Xiuzhen Cheng 001; Yan Huo (INFOCOM, 2013)

Enabling Smartphone Based HD Video Chats by Cooperative Transmissions in CRNs. - Tao Jing; Xuewei Cui; Wei Cheng 001; Shixiang Zhu; Yan Huo (WASA, 2014)

Enabling smartphone-based HD video chats by cooperative transmissions in CRNs. - Tao Jing; Xuewei Cui; Wei Cheng 001; Shixiang Zhu; Yan Huo; Xiuzhen Cheng 001 (EURASIP J. Wirel. Commun. Netw., 2015)

Cooperative Relay Selection in Cognitive Radio Networks. - Tao Jing; Shixiang Zhu; Hongjuan Li; Xiaoshuang Xing; Xiuzhen Cheng 001; Yan Huo; Rongfang Bie; Taieb Znati (IEEE Trans. Veh. Technol., 2015)

DENA: An Intelligent Content Discovery System Used in Named Data Networking. - Hengyang Zhang; Renchao Xie; Shixiang Zhu; Tao Huang 005; Yunjie Liu 001 (IEEE Access, 2016)

Senz: A Context Awareness Middleware System Used in Mobile Devices. - Hengyang Zhang; Tao Huang 005; Yunjie Liu 001; Shixiang Zhu; Guan Gui; Yuanying Chi (VTC Spring, 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)

Sequential Adaptive Detection for In-Situ Transmission Electron Microscopy (TEM). - Yang Cao 013; Shixiang Zhu; Yao Xie 002; Jordan Key; Josh Kacher; Raymond R. Unocic; Christopher M. Rouleau (ICASSP, 2018)

Crime Incidents Embedding Using Restricted Boltzmann Machines. - Shixiang Zhu; Yao Xie 002 (ICASSP, 2018)

Learning Temporal Point Processes via Reinforcement Learning. - Shuang Li 002; Shuai Xiao; Shixiang Zhu; Nan Du 002; Yao Xie 002; Le Song (NeurIPS, 2018)

Crime Event Embedding with Unsupervised Feature Selection. - Shixiang Zhu; Yao Xie 002 (ICASSP, 2019)

Crime Linkage Detection by Spatio-Temporal-Textual Point Processes. - Shixiang Zhu; Yao Xie 002 (CoRR, 2019)

Reinforcement Learning of Spatio-Temporal Point Processes. - Shixiang Zhu; Shuang Li 002; Yao Xie 002 (CoRR, 2019)

Adversarial Anomaly Detection for Marked Spatio-Temporal Streaming Data. - Shixiang Zhu; Henry Shaowu Yuchi; Yao Xie 002 (ICASSP, 2020)

Deep Attention Spatio-Temporal Point Processes. - Shixiang Zhu; Minghe Zhang; Ruyi Ding; Yao Xie 002 (CoRR, 2020)

Distributionally Robust $k$-Nearest Neighbors for Few-Shot Learning. - Shixiang Zhu; Liyan Xie; Minghe Zhang; Rui Gao 001; Yao Xie 002 (CoRR, 2020)

Goodness-of-Fit Test for Self-Exciting Processes. - Song Wei; Shixiang Zhu; Minghe Zhang; Yao Xie 002 (CoRR, 2020)

Goodness-of-Fit Test for Mismatched Self-Exciting Processes. - Song Wei; Shixiang Zhu; Minghe Zhang; Yao Xie 002 (AISTATS, 2021)

Deep Fourier Kernel for Self-Attentive Point Processes. - Shixiang Zhu; Minghe Zhang; Ruyi Ding; Yao Xie 002 (AISTATS, 2021)

Sequential Adversarial Anomaly Detection with Deep Fourier Kernel. - Shixiang Zhu; Henry Shaowu Yuchi; Minghe Zhang; Yao Xie 002 (ICASSP, 2021)

Balanced Districting on Grid Graphs with Provable Compactness and Contiguity. - Cyrus Hettle; Shixiang Zhu; Swati Gupta 001; Yao Xie 002 (CoRR, 2021)

Data-Driven Optimization for Police Zone Design. - Shixiang Zhu; He Wang 009; Yao Xie 002 (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 002; Josh Kacher; Surya R. Kalidindi (CoRR, 2021)

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Shihao Yang 002; Pinar Keskinocak; Yao Xie 002 (CoRR, 2021)

Neural Spectral Marked Point Processes. - Shixiang Zhu; Haoyun Wang; Xiuyuan Cheng; Yao Xie 002 (CoRR, 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 002; Yao Xie 002 (ACM Trans. Manag. Inf. Syst., 2021)

Neural Spectral Marked Point Processes. - Shixiang Zhu; Haoyun Wang; Zheng Dong 005; Xiuyuan Cheng; Yao Xie 002 (ICLR, 2022)

Distributionally robust weighted k-nearest neighbors. - Shixiang Zhu; Liyan Xie; Minghe Zhang; Rui Gao 001; Yao Xie 002 (NeurIPS, 2022)

Data-Driven Optimization for Atlanta Police-Zone Design. - Shixiang Zhu; He Wang 009; Yao Xie 002 (INFORMS J. Appl. Anal., 2022)

Early Detection of COVID-19 Hotspots Using Spatio-Temporal Data. - Shixiang Zhu; Alexander Bukharin; Liyan Xie; Khurram Yamin; Shihao Yang 002; Pinar Keskinocak; Yao Xie 002 (IEEE J. Sel. Top. Signal Process., 2022)

In Situ Transmission Electron Microscopy: Signal processing challenges and examples. - Josh Kacher; Yao Xie 002; Sven P. Voigt; Shixiang Zhu; Henry Shaowu Yuchi; Jordan Key; Surya R. Kalidindi (IEEE Signal Process. Mag., 2022)

Spatio-Temporal Point Processes With Attention for Traffic Congestion Event Modeling. - Shixiang Zhu; Ruyi Ding; Minghe Zhang; Pascal Van Hentenryck; Yao Xie 002 (IEEE Trans. Intell. Transp. Syst., 2022)

Imitation Learning of Neural Spatio-Temporal Point Processes. - Shixiang Zhu; Shuang Li 002; Zhigang Peng; Yao Xie 002 (IEEE Trans. Knowl. Data Eng., 2022)

Statistical Learning and Decision Making for Spatio-Temporal Data. - Shixiang Zhu (2022)

Conditional Generative Modeling is All You Need for Marked Temporal Point Processes. - Zheng Dong; Zekai Fan; 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 002; Álinson Santos Xavier; Feng Qiu (CoRR, 2023)

Bayesian Optimization with Hidden Constraints via Latent Decision Models. - Wenqian Xing; Jungho Lee; Chong Liu; Shixiang Zhu (CoRR, 2023)

Counterfactual Generative Models for Time-Varying Treatments. - Shenghao Wu; Wenbin Zhou; Minshuo Chen; Shixiang Zhu (KDD, 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 Fairness through Transforming Data Orthogonal to Bias. - Shuyi Chen; Shixiang Zhu (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 003 (CoRR, 2024)

Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation. - Michael Lingzhi Li; Shixiang Zhu (CoRR, 2024)

Optimizing Probabilistic Conformal Prediction with Vectorized Non-Conformity Scores. - Minxing Zheng; Shixiang Zhu (CoRR, 2024)

Hierarchical Spatio-Temporal Uncertainty Quantification for Distributed Energy Adoption. - Wenbin Zhou; Shixiang Zhu; Feng Qiu; Xuan Wu (CoRR, 2024)

Political-LLM: Large Language Models in Political Science. - Lincan Li; Jiaqi Li; Catherine Chen 003; Fred Gui; Hongjia Yang; Chenxiao Yu; Zhengguang Wang; Jianing Cai; Junlong Aaron Zhou; Bolin Shen; Alex Qian; Weixin Chen; et al. (CoRR, 2024)

Black-Box Optimization with Implicit Constraints for Public Policy. - Wenqian Xing; Jungho Lee; Chong Liu; Shixiang Zhu (AAAI, 2025)

New User Event Prediction Through the Lens of Causal Inference. - Henry Shaowu Yuchi; Shixiang Zhu; Li Dong; Yigit M. Arisoy; Matthew C. Spencer (AISTATS, 2025)

Recurrent Neural Goodness-of-Fit Test for Time Series. - Aoran Zhang; Wenbin Zhou; Liyan Xie; Shixiang Zhu (AISTATS, 2025)

Uncertainty-Aware Robust Learning on Noisy Graphs. - Shuyi Chen; Kaize Ding; Shixiang Zhu (ICASSP, 2025)

Conditional Generative Modeling for High-dimensional Marked Temporal Point Processes. - Zheng Dong 005; Zekai Fan; Shixiang Zhu (KDD (1), 2025)

Sequential Change Point Detection via Denoising Score Matching. - Wenbin Zhou; Liyan Xie; Zhigang Peng; Shixiang Zhu (CoRR, 2025)

Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making. - Prince Zizhuang Wang; Jinhao Liang; Shuyi Chen; Ferdinando Fioretto; Shixiang Zhu (CoRR, 2025)

Global-Decision-Focused Neural ODEs for Proactive Grid Resilience Management. - Shuyi Chen; Ferdinando Fioretto; Feng Qiu; Shixiang Zhu (CoRR, 2025)

Topology-Aware Conformal Prediction for Stream Networks. - Jifan Zhang; Fangxin Wang 003; Philip S. Yu; Kaize Ding; Shixiang Zhu (CoRR, 2025)

Adaptive Robust Optimization with Data-Driven Uncertainty for Enhancing Distribution System Resilience. - Shuyi Chen; Shixiang Zhu; Ramteen Sioshansi (CoRR, 2025)

Conformalized Decision Risk Assessment. - Wenbin Zhou; Agni Orfanoudaki; Shixiang Zhu (CoRR, 2025)

MISLEADER: Defending against Model Extraction with Ensembles of Distilled Models. - Xueqi Cheng; Minxing Zheng; Shixiang Zhu; Yushun Dong (CoRR, 2025)