A VGI-based Foodborn Disease Report and Forecast System. - Yingyue Qi; Chi Zhang; Zhuo Zhi; Ke Guo; Danhuai Guo (EM-GIS@SIGSPATIAL, 2018)

Generative Hierarchical Models for Parts, Objects, and Scenes. - Fei Deng; Zhuo Zhi; Sungjin Ahn (CoRR, 2019)

Extended Answer and Uncertainty Aware Neural Question Generation. - Hongwei Zeng; Zhuo Zhi; Jun Liu 002; Bifan Wei (CoRR, 2019)

Related Entropy Theories Application in Condition Monitoring of Rotating Machineries. - Liansheng Liu; Zhuo Zhi; Hanxing Zhang; Qing Guo 001; Yu Peng 002; Datong Liu (Entropy, 2019)

Volctrans Parallel Corpus Filtering System for WMT 2020. - Runxin Xu; Zhuo Zhi; Jun Cao; Mingxuan Wang; Lei Li 005 (WMT@EMNLP, 2020)

Generative Scene Graph Networks. - Fei Deng 001; Zhuo Zhi; Donghun Lee; Sungjin Ahn (ICLR, 2021)

Improving paragraph-level question generation with extended answer network and uncertainty-aware beam search. - Hongwei Zeng; Zhuo Zhi; Jun Liu 002; Bifan Wei (Inf. Sci., 2021)

Multimodal Diagnosis for Pulmonary Embolism from EHR Data and CT Images. - Zhuo Zhi; Moe Elbadawi; Adam Daneshmend; Mine Orlu; Abdul Basit; Andreas Demosthenous; Miguel Rodrigues 001 (EMBC, 2022)

Harmonic Reducer Fault Detection With Acoustic Emission. - Liansheng Liu; Zhuo Zhi; Yufei Yang; Shervin Shirmohammadi; Datong Liu (IEEE Trans. Instrum. Meas., 2023)

HgbNet: Predicting Hemoglobin Level/Anemia Degree From Irregular EHR. - Zhuo Zhi; Moe Elbadawi; Adam Daneshmend; Mine Orlu; Abdul Basit; Andreas Demosthenous; Miguel Rodrigues 001 (IEEE Access, 2024)

HgbNet: predicting hemoglobin level/anemia degree from EHR data. - Zhuo Zhi; Moe Elbadawi; Adam Daneshmend; Mine Orlu; Abdul Basit; Andreas Demosthenous; Miguel Rodrigues 001 (CoRR, 2024)

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records. - Sanjana Gundapaneni; Zhuo Zhi; Miguel Rodrigues 001 (CoRR, 2024)

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks. - Chen Feng; Ziquan Liu; Zhuo Zhi; Ilija Bogunovic; Carsten Gerner-Beuerle; Miguel Rodrigues 001 (AAAI, 2025)

Borrowing treasures from neighbors: In-context learning for multimodal learning with missing modalities and data scarcity. - Zhuo Zhi; Ziquan Liu; Moe Elbadawi; Adam Daneshmend; Mine Orlu; Abdul Basit; Andreas Demosthenous; Miguel R. D. Rodrigues (Neurocomputing, 2025)

TFAR: A Training-Free Framework for Autonomous Reliable Reasoning in Visual Question Answering. - Zhuo Zhi; Chen Feng; Adam Daneshmend; Mine Orlu; Andreas Demosthenous; Lu Yin; Da Li; Ziquan Liu; Miguel R. D. Rodrigues (Trans. Mach. Learn. Res., 2025)

Wasserstein Modality Alignment Makes Your Multimodal Transformer More Robust. - Zhuo Zhi; Yuxuan Sun; Qiangqiang Wu; Ziquan Liu; Miguel R. D. Rodrigues (Trans. Mach. Learn. Res., 2025)

Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework. - Zhuo Zhi; Chen Feng; Adam Daneshmend; Mine Orlu; Andreas Demosthenous; Lu Yin; Da Li; Ziquan Liu; Miguel R. D. Rodrigues (CoRR, 2025)

VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. - Zhuo Zhi; Qiangqiang Wu; Minghe shen; Wenbo Li; Yinchuan Li; Kun Shao; Kaiwen Zhou (CoRR, 2025)