Simulation Gaming to Study Design and Management Decision-Making in Flexible Engineering Systems. - Michel-Alexandre Cardin; Howard Ka-Ho Yue; Fu Haidong; Tang Loon Ching; Jiang Yixin; Sizhe Zhang; Boray Huang (SMC, 2013)

Siting Nuclear Power Plants Incorporating Strategic Flexibility. - Michel-Alexandre Cardin; Sizhe Zhang; William J. Nuttall (CSDM, 2015)

Strategic flexibility analysis in emergency medical service systems using decision rules. - Yuan Zhou; Michel-Alexandre Cardin; Sizhe Zhang (ICNSC, 2018)

DeepStore: An Interaction-Aware Wide&Deep Model for Store Site Recommendation With Attentional Spatial Embeddings. - Yan Liu 045; Bin Guo 001; Nuo Li; Jing Zhang 049; Jingmin Chen; Daqing Zhang 001; Yinxiao Liu; Zhiwen Yu 001; Sizhe Zhang; Lina Yao 001 (IEEE Internet Things J., 2019)

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper). - Sizhe Zhang; Ruixuan Wang; Jeff Jun Zhang; Abbas Rahimi; Xun Jiao (ASAP, 2021)

MetaStore: A Task-adaptative Meta-learning Model for Optimal Store Placement with Multi-city Knowledge Transfer. - Yan Liu 045; Bin Guo 001; Daqing Zhang 001; Djamal Zeghlache; Jingmin Chen; Sizhe Zhang; Dan Zhou; Xinlei Shi; Zhiwen Yu 001 (ACM Trans. Intell. Syst. Technol., 2021)

Knowledge Transfer with Weighted Adversarial Network for Cold-Start Store Site Recommendation. - Yan Liu 045; Bin Guo 001; Daqing Zhang 001; Djamal Zeghlache; Jingmin Chen; Ke Hu; Sizhe Zhang; Dan Zhou; Zhiwen Yu 001 (ACM Trans. Knowl. Discov. Data, 2021)

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling. - Sizhe Zhang; Ruixuan Wang; Dongning Ma; Jeff Jun Zhang; Xunzhao Yin; Xun Jiao (DATE, 2022)

ScaleHD: Robust Brain-Inspired Hyperdimensional Computing via Adapative Scaling. - Sizhe Zhang; Mohsen Imani; Xun Jiao (ICCAD, 2022)

A Visual Feedback Supported Intelligent Assistive Technique for Amyotrophic Lateral Sclerosis Patients. - Zihao Wang; Aojie Zhang; Xinyue Xia; Sizhe Zhang; Haitao Li 007; Jiaqi Wang 016; Shuo Gao 001 (Adv. Intell. Syst., 2022)

HDCoin: A Proof-of-Useful-Work Based Blockchain for Hyperdimensional Computing. - Dongning Ma; Sizhe Zhang; Xun Jiao (CoRR, 2022)

Automated Architecture Search for Brain-inspired Hyperdimensional Computing. - Junhuan Yang; Yi Sheng; Sizhe Zhang; Ruixuan Wang; Kenneth W. Foreman; Mikell Paige; Xun Jiao; Weiwen Jiang; Lei Yang 018 (CoRR, 2022)

Robust Hyperdimensional Computing against Cyber Attacks and Hardware Errors: A Survey. - Dongning Ma; Sizhe Zhang; Xun Jiao (ASP-DAC, 2023)

Adversarial Attack on Hyperdimensional Computing-based NLP Applications. - Sizhe Zhang; Zhao Wang; Xun Jiao (DATE, 2023)

Leveraging Machine Learning to Understand Green Stormwater Infrastructure Performance Risks. - Sizhe Zhang; Achira Amur; Emma Olson; Peleg Kremer; Xun Jiao; Virginia Smith; Bridget Wadzuk (GHTC, 2023)

On Hyperdimensional Computing-based Federated Learning: A Case Study. - Sizhe Zhang; Dongning Ma; Song Bian 001; Lei Yang; Xun Jiao (IJCNN, 2023)

Energy Consumption Optimization for Heating, Ventilation and Air Conditioning Systems Based on Deep Reinforcement Learning. - Yi Peng; Haojun Shen; Xiaochang Tang; Sizhe Zhang; Jinxiao Zhao; Yuru Liu; Yuming Nie (IEEE Access, 2023)

An autonomous navigation approach for unmanned vehicle in off-road environment with self-supervised traversal cost prediction. - Bo Zhou; Jianjun Yi; Xinke Zhang; LianSheng Wang; Sizhe Zhang; Bin Wu (Appl. Intell., 2023)

Molecular sharing and molecular-specific representations for multimodal molecular property prediction. - Xuecong Tian; Sizhe Zhang; Ying Su; Wanhua Huang; Yongzheng Zhang; Xuan Ma; Keao Li; Xiaoyi Lv; Chen Chen 078; Cheng Chen (Appl. Soft Comput., 2024)

Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments. - Hongtao Zhu; Sizhe Zhang; Yang Su; Zhenyu Zhao; Nan Chen (CoRR, 2024)

AIGO-DTI: Predicting Drug-Target Interactions Based on Improved Drug Properties Combined with Adaptive Iterative Algorithms. - Sizhe Zhang; Xuecong Tian; Chen Chen 078; Ying Su; Wanhua Huang; Xiaoyi Lv; Cheng Chen; Hongyi Li (J. Chem. Inf. Model., 2024)

EMA-GS: Improving sparse point cloud rendering with EMA gradient and anchor upsampling. - Ding Yuan 001; Sizhe Zhang; Hong Zhang 018; Yangyan Deng; Yifan Yang 003 (Image Vis. Comput., 2025)

MMMR: Benchmarking Massive Multi-Modal Reasoning Tasks. - Guiyao Tie; Xueyang Zhou; Tianhe Gu; Ruihang Zhang; Chaoran Hu; Sizhe Zhang; Mengqu Sun; Yan Zhang; Pan Zhou 001; Lichao Sun 001 (CoRR, 2025)

Exploring Hyperdimensional Computing Robustness Against Hardware Errors. - Sizhe Zhang; Kyle Juretus; Xun Jiao (IEEE Trans. Computers, 2025)