Establishing covert channel on shared cache architecture. - Peili Yang; Zhongqi Yang; Shien Ge (ICNC, 2014)

Exploiting Active Learning in Novel Refractive Error Detection with Smartphones. - Eugene Yujun Fu; Zhongqi Yang; Hong Va Leong; Grace Ngai; Chi-Wai Do; Lily Chan (ACM Multimedia, 2020)

Screening for refractive error with low-quality smartphone images. - Zhongqi Yang; Eugene Yujun Fu; Grace Ngai; Hong Va Leong; Chi-Wai Do; Lily Chan (MoMM, 2020)

LTHS: A heuristic algorithm based on local two-hop search strategy for influence maximization in social networks. - Liqing Qiu; Zhongqi Yang; Shiwei Zhu; Chunmei Gu; Xiangbo Tian (J. Intell. Fuzzy Syst., 2021)

ComIM: A community-based algorithm for influence maximization under the weighted cascade model on social networks. - Liqing Qiu; Zhongqi Yang; Shiwei Zhu; Xiangbo Tian; Shuqi Liu (Intell. Data Anal., 2022)

Prior-Guided Multi-View 3D Head Reconstruction. - Xueying Wang; Yudong Guo; Zhongqi Yang; Juyong Zhang (IEEE Trans. Multim., 2022)

Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. - Zhongqi Yang; Iman Azimi; Salar Jafarlou; Sina Labbaf; Jessica L. Borelli; Nikil D. Dutt; Amir M. Rahmani (BSN, 2023)

Foundation Metrics: Quantifying Effectiveness of Healthcare Conversations powered by Generative AI. - Mahyar Abbasian; Elahe Khatibi; Iman Azimi; David Oniani; Zahra Shakeri Hossein Abad; Alexander Thieme; Zhongqi Yang; Yanshan Wang; Bryant Lin; Olivier Gevaert; Li-Jia Li 001; Ramesh C. Jain; et al. (CoRR, 2023)

Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. - Ajan Subramanian; Zhongqi Yang; Iman Azimi; Amir M. Rahmani (BSN, 2024)

Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction. - Yuning Wang; Zhongqi Yang; Iman Azimi; Amir M. Rahmani; Pasi Liljeberg (BSN, 2024)

Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. - Mahyar Abbasian; Zhongqi Yang; Elahe Khatibi; Pengfei Zhang; Nitish Nagesh; Iman Azimi; Ramesh C. Jain; Amir M. Rahmani (EMBC, 2024)

Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. - Ziyu Wang; Zhongqi Yang; Iman Azimi; Amir M. Rahmani (EMBC, 2024)

ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework. - Zhongqi Yang; Elahe Khatibi; Nitish Nagesh; Mahyar Abbasian; Iman Azimi; Ramesh C. Jain; Amir M. Rahmani (CoRR, 2024)

Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecasting. - Zhongqi Yang; Yuning Wang; Ken S. Yamashita; Maryam Sabah; Elahe Khatibi; Iman Azimi; Nikil D. Dutt; Jessica L. Borelli; Amir M. Rahmani (CoRR, 2024)

ALCM: Autonomous LLM-Augmented Causal Discovery Framework. - Elahe Khatibi; Mahyar Abbasian; Zhongqi Yang; Iman Azimi; Amir M. Rahmani (CoRR, 2024)

Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. - Zhongqi Yang; Iman Azimi; Salar Jafarlou; Sina Labbaf; Brenda Nguyen; Hana Qureshi; Christopher Marcotullio; Jessica L. Borelli; Nikil D. Dutt; Amir M. Rahmani (CoRR, 2024)

Foundation metrics for evaluating effectiveness of healthcare conversations powered by generative AI. - Mahyar Abbasian; Elahe Khatibi; Iman Azimi; David Oniani; Zahra Shakeri Hossein Abad; Alexander Thieme; Ram Sriram; Zhongqi Yang; Yanshan Wang; Bryant Lin; Olivier Gevaert; Li-Jia Li 001; et al. (npj Digit. Medicine, 2024)

A Study of the Impact of Executive Corruption on Corporate Innovation. - Ming Bai; Yanru Chen; Ye Hong; Zhongqi Yang (Syst., 2024)

Personalized Causal Graph Reasoning for LLMs: A Case Study on Dietary Recommendations. - Zhongqi Yang; Amir M. Rahmani (CoRR, 2025)

Matrix-3D: Omnidirectional Explorable 3D World Generation. - Zhongqi Yang; Wenhang Ge; Yuqi Li; Jiaqi Chen; Haoyuan Li; Mengyin An; Fei Kang; Hua Xue; Baixin Xu; Yuyang Yin; Eric Li; Yang Liu; et al. (CoRR, 2025)