| 2026 | AAAI | An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling. | Lixiu Wu, Yuanrong Tang, Qisen Pan, Xianyang Zhan, Yuchen Han, Lanxi Xiao, Tianhong Wang, Chen Zhong, Jiangtao Gong |
| 2026 | HPDC | Scaling Attention Beyond GPUs for LLM Inference. | Weishu Deng, Yujie Yang, Peiran Du, Lingfeng Xiang, Zhen Lin, Chen Zhong, Faraz Ahmed, Lianjie Cao, Puneet Sharma, Song Jiang, Hui Lu, Jia Rao |
| 2025 | ICASSP | Cooperative Multi-Target Tracking Based on Multi-Detection TPHD in MIMO-OFDM Systems. | Chen Zhong, Lan Tang, Ying-Chang Liang |
| 2025 | MICCAI | PolarDETR: Enhancing Interpretability in Multi-modal Methods for Jawbone Lesion Detection in CBCT. | Yuxuan Yang, Chen Zhong, Xinyue Zhang, Ruohan Ma, Gang Li, Yong Guo, Jupeng Li |
| 2025 | SYSTOR | SAKER: A Software Accelerated Key-value Service via the NVMe Interface. | Chen Zhong, Wenguang Wang, Song Jiang |
| 2024 | CIKM | An End-to-End Reinforcement Learning Based Approach for Micro-View Order-Dispatching in Ride-Hailing. | Xinlang Yue, Yiran Liu, Fangzhou Shi, Sihong Luo, Chen Zhong, Min Lu, Zhe Xu |
| 2024 | ICDE | IndeXY: A Framework for Constructing Indexes Larger than Memory. | Chen Zhong, Qingqing Zhou, Yuxing Chen, Xingsheng Zhao, Kuang He, Anqun Pan, Song Jiang |
| 2024 | ICIS | Insider Detection Based on Behavior Sequences: A Transformer Approach. | Chen Zhong, Motahareh Pourbehzadi, Giti Javidi |
| 2024 | IROS | Large Language Models Powered Context-aware Motion Prediction in Autonomous Driving. | Xiaoji Zheng, Lixiu Wu, Zhijie Yan, Yuanrong Tang, Hao Zhao, Chen Zhong, Bokui Chen, Jiangtao Gong |
| 2023 | FlAIRS | Predicting the Effectiveness of Blockchain Bug Bounty Programs. | Ed Marcavage, Jake Mason, Chen Zhong |
| 2023 | SYSTOR | TurboHash: A Hash Table for Key-value Store on Persistent Memory. | Xingsheng Zhao, Chen Zhong, Song Jiang |
| 2022 | ICASSP | Controlled Sensing and Anomaly Detection Via Soft Actor-Critic Reinforcement Learning. | Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2022 | WCNC | Learning-Based Robust Anomaly Detection in the Presence of Adversarial Attacks. | Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2021 | SYSTOR | LIRS2: an improved LIRS replacement algorithm. | Chen Zhong, Xingsheng Zhao, Song Jiang |
| 2020 | CISS | Defense Strategies Against Adversarial Jamming Attacks via Deep Reinforcement Learning. | Feng Wang, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2020 | CogSIMA | Exploring Participants' Views of Cybersecurity Competitions through the Lens of Social Media. | Joshua Ian Bertrand, Alex Martakis, Hong Liu, Chen Zhong, Jun Yao |
| 2020 | GLOBECOM | Anomaly Detection via Controlled Sensing and Deep Active Inference. | Geethu Joseph, Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar, Pramod K. Varshney |
| 2020 | GLOBECOM | Anomaly Detection and Sampling Cost Control via Hierarchical GANs. | Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2020 | WCNC | Adversarial Jamming Attacks on Deep Reinforcement Learning Based Dynamic Multichannel Access. | Chen Zhong, Feng Wang, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2019 | CogSIMA | AOH-Map: A Mind Mapping System for Supporting Collaborative Cyber Security Analysis. | Chen Zhong, Awny Alnusair, Brandon Sayger, Aaron Troxell, Jun Yao |
| 2019 | GLOBECOM | Deep Actor-Critic Reinforcement Learning for Anomaly Detection. | Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2019 | ISI | Cybersecurity Education: From Beginners to Advanced Players in Cybersecurity Competitions. | Lindsey Thomas, Moises Balders, Zach Countney, Chen Zhong, Jun Yao, Chunxia Xu |
| 2018 | CISS | A deep reinforcement learning-based framework for content caching. | Chen Zhong, Mustafa Cenk Gursoy, Senem Velipasalar |
| 2015 | CCGRID | Traffic Management and Forecasting System Based on 3D GIS. | Xiaoming Li, Zhihan Lv, Jinxing Hu, Baoyun Zhang, Ling Yin, Chen Zhong, Weixi Wang, Shengzhong Feng |
| 2015 | CogSIMA | ARSCA: a computer tool for tracing the cognitive processes of cyber-attack analysis. | Chen Zhong, John Yen, Peng Liu, Rob Erbacher, Renee Etoty, Christopher Garneau |
| 2015 | IGARSS | Building change detection for high-resolution remotely sensed images based on a semantic dependency. | Chen Zhong, Qizhi Xu, Feng Yang, Lei Hu |
| 2014 | CogSIMA | RankAOH: Context-driven similarity-based retrieval of experiences in cyber analysis. | Chen Zhong, Deepak Samuel, John Yen, Peng Liu, Robert F. Erbacher, Steve E. Hutchinson, Renee Etoty, Hasan Cam, William Glodek |
| 2013 | ISI | How to use experience in cyber analysis: An analytical reasoning support system. | Chen Zhong, Deepak S. Kirubakaran, John Yen, Peng Liu, Steve E. Hutchinson, Hasan Cam |
| 2012 | IV | Using an Interactive Dymaxion Map to Convey Research Information through Visualization. | Chen Zhong, Tao Wang, Stephen Cairns, Stefan Mller Arisona |