Design of A Novel Electromagnetic Actuation System for Actuating Magnetic Capsule Robot. - Sishen Yuan; Yue Wan; Yunxuan Mao; Shuang Song 002; Max Q.-H. Meng (ROBIO, 2019)

Refining Land-Cover Maps Based on Probabilistic Re-Classification in CCA Ordination Space. - Yue Wan; Jingxiong Zhang; Wenjing Yang; Yunwei Tang (Remote. Sens., 2020)

Federated Transfer Learning-Based IDS for the Internet of Medical Things (IoMT). - Yazan Otoum; Yue Wan; Amiya Nayak (GLOBECOM (Workshops), 2021)

Design and Analysis of a Multi-Section Wire-driven Continuum Robot System with Variable Structures. - Yujie Liu; Yue Wan; Shuang Song 002; Jiaole Wang (ROBIO, 2021)

Mobile Sensor Array Tracking Approach for Electromagnetic Driven Capsule Robot. - Yue Wan; Yujie Liu; Xiaoyang Wu 004; Shuang Song 002; Jiaole Wang (ROBIO, 2021)

Retroformer: Pushing the Limits of End-to-end Retrosynthesis Transformer. - Yue Wan; Chang-Yu Hsieh; Ben Liao; Shengyu Zhang 002 (ICML, 2022)

Transfer Learning-Driven Intrusion Detection for Internet of Vehicles (IoV). - Yazan Otoum; Yue Wan; Amiya Nayak (IWCMC, 2022)

Retroformer: Pushing the Limits of Interpretable End-to-end Retrosynthesis Transformer. - Yue Wan; Benben Liao; Chang-Yu Hsieh; Shengyu Zhang 002 (CoRR, 2022)

AEP: Aligning knowledge graphs via embedding propagation. - Chenxu Wang 001; Yue Wan; Zhenhao Huang; Panpan Meng; Pinghui Wang (Neurocomputing, 2022)

CGS: Coupled Growth and Survival Model with Cohort Fairness. - Erhu He; Yue Wan; Benjamin H. Letcher; Jennifer H. Fair; Yiqun Xie; Xiaowei Jia (IJCAI, 2023)

From molecules to scaffolds to functional groups: building context-dependent molecular representation via multi-channel learning. - Yue Wan; Jialu Wu; Tingjun Hou; Chang-Yu Hsieh; Xiaowei Jia (CoRR, 2023)

FuAlign: Cross-lingual entity alignment via multi-view representation learning of fused knowledge graphs. - Chenxu Wang 001; Zhenhao Huang; Yue Wan; Junyu Wei; Junzhou Zhao; Pinghui Wang (Inf. Fusion, 2023)

Fusing Multiple Land Cover Products Based on Locally Estimated Map-Reference Cover Type Transition Probabilities. - Wangle Zhang; Jiwen Wang; Hate Lin; Ming Cong 001; Yue Wan; Jingxiong Zhang (Remote. Sens., 2023)

Characterizing Uncertainty and Enhancing Utility in Remotely Sensed Land Cover Using Error Matrices Localized in Canonical Correspondence Analysis Ordination Space. - Yue Wan; Jingxiong Zhang; Wangle Zhang; Ying Zhang; Wenjing Yang; Jianxu Wang; Okafor Somtoochukwu Chukwunonso; Asurapplullige Milani Tharuka Nadeeka (Remote. Sens., 2023)

Improving Explainable Object-induced Model through Uncertainty for Automated Vehicles. - Shihong Ling; Yue Wan; Xiaowei Jia; Na Du (HRI, 2024)

RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks. - Rafael Josip Penic; Tin Vlasic; Roland G. Huber; Yue Wan; Mile Sikic (CoRR, 2024)

Towards unifying pre-trained language models for semantic text exchange. - Jingyuan Miao; Yuqi Zhang; Nan Jiang 013; Jie Wen; Kanglu Pei; Yue Wan; Tao Wan 003; Honglong Chen (Wirel. Networks, 2024)

Unveiling Confirmation Bias in Chain-of-Thought Reasoning. - Yue Wan; Xiaowei Jia; Xiang Lorraine Li (ACL (Findings), 2025)

DriveBLIP2: Attention-Guided Explanation Generation for Complex Driving Scenarios. - Shihong Ling; Yue Wan; Xiaowei Jia; Na Du (CoRR, 2025)

Development of a prediction model for hemorrhagic transformation after intravenous thrombolysis in patients with acute ischemic stroke: a retrospective analysis. - Yidan Chen; Wendie Lv; Xuhui Liu; Mingmin Yan; Jing Zheng; Dan Yan; Dan Wang; Yulin Yao; Bingxi Liu 004; Yahui Li; Yue Wan (BMC Medical Informatics Decis. Mak., 2025)

Death risk prediction model for patients with non-traumatic intracerebral hemorrhage. - Yidan Chen; Xuhui Liu; Mingmin Yan; Yue Wan (BMC Medical Informatics Decis. Mak., 2025)