UAV-Based Situational Awareness System Using Deep Learning. - Rúben Geraldes; Artur Goncalves; Tin Lai; Mathias Villerabel; Wenlong Deng; Ana Salta; Kotaro Nakayama; Yutaka Matsuo; Helmut Prendinger (IEEE Access, 2019)

Multi-class structural damage segmentation using fully convolutional networks. - Juan Jose Rubio; Takahiro Kashiwa; Teera Laiteerapong; Wenlong Deng; Kohei Nagai; Sergio Escalera; Kotaro Nakayama; Yutaka Matsuo; Helmut Prendinger (Comput. Ind., 2019)

Joint Human Pose Estimation and Stereo 3D Localization. - Wenlong Deng; Lorenzo Bertoni; Sven Kreiss; Alexandre Alahi (ICRA, 2020)

SML: Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction. - Wenlong Deng; Lang Lang; Zhen Liu; Bin Liu (CoRR, 2022)

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations. - Wenlong Deng; Yuan Zhong 003; Qi Dou 001; Xiaoxiao Li (IPMI, 2023)

Community-Aware Transformer for Autism Prediction in fMRI Connectome. - Anushree Bannadabhavi; Soojin Lee; Wenlong Deng; Rex Ying; Xiaoxiao Li (MICCAI (8), 2023)

Clinical-Inspired Cytological Whole Slide Image Screening with Just Slide-Level Labels. - Beidi Zhao; Wenlong Deng; Zi Han Li; Chen Zhou; Zuhua Gao; Gang Wang; Xiaoxiao Li (CoRR, 2023)

Community-Aware Transformer for Autism Prediction in fMRI Connectome. - Anushree Bannadabhavi; Soojin Lee; Wenlong Deng; Xiaoxiao Li (CoRR, 2023)

Heterogeneous Federated Learning with Group-Aware Prompt Tuning. - Wenlong Deng; Christos Thrampoulidis; Xiaoxiao Li (CoRR, 2023)

Duplex adversarial domain discriminative network for cross-domain partial transfer fault diagnosis. - Fuqiang Liu; Wenlong Deng; Chaoqun Duan; Yi Qin 004; Jun Luo 006; Huayan Pu (Knowl. Based Syst., 2023)

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning. - Wenlong Deng; Christos Thrampoulidis; Xiaoxiao Li (CVPR, 2024)

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification. - Ruinan Jin; Wenlong Deng; Minghui Chen; Xiaoxiao Li (MICCAI (10), 2024)

Content Conditional Debiasing for Fair Text Embedding. - Wenlong Deng; Blair Chen; Xiaoxiao Li; Christos Thrampoulidis (CoRR, 2024)

Universal Debiased Editing on Foundation Models for Fair Medical Image Classification. - Ruinan Jin; Wenlong Deng; Minghui Chen; Xiaoxiao Li (CoRR, 2024)

LESS: Label-efficient multi-scale learning for cytological whole slide image screening. - Beidi Zhao; Wenlong Deng; Zi Han (henry) Li; Chen Zhou; Zuhua Gao; Gang Wang; Xiaoxiao Li (Medical Image Anal., 2024)

Can Textual Gradient Work in Federated Learning? - Minghui Chen; Ruinan Jin; Wenlong Deng; Yuanyuan Chen; Zhi Huang; Han Yu 001; Xiaoxiao Li (ICLR, 2025)

DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models. - Wenlong Deng; Yize Zhao; Vala Vakilian; Minghui Chen; Xiaoxiao Li; Christos Thrampoulidis (ICLR, 2025)

GMValuator: Similarity-based Data Valuation for Generative Models. - Jiaxi Yang; Wenlong Deng; Benlin Liu; Yangsibo Huang; James Zou; Xiaoxiao Li (ICLR, 2025)

Corrigendum to "LESS: Label-efficient multi-scale learning for cytological whole slide image screening" [Medical Image Analysis 94 (2024): 103109]. - Beidi Zhao; Wenlong Deng; Zi Han Li; Chen Zhou; Zuhua Gao; Gang Wang; Xiaoxiao Li (Medical Image Anal., 2025)

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. - Juncheng Wu; Wenlong Deng; Xingxuan Li; Sheng Liu; Taomian Mi; Yifan Peng 002; Ziyang Xu; Yi Liu 059; Hyunjin Cho; Changin Choi; Yihan Cao; Hui Ren 001; et al. (CoRR, 2025)

On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization. - Wenlong Deng; Yi Ren; Muchen Li; Danica J. Sutherland; Xiaoxiao Li; Christos Thrampoulidis (CoRR, 2025)

Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation. - Running Yang; Wenlong Deng; Minghui Chen; Yuyin Zhou; Xiaoxiao Li (CoRR, 2025)

Efficient Forward-Only Data Valuation for Pretrained LLMs and VLMs. - Wenlong Deng; Jiaming Zhang; Qi Zeng; Christos Thrampoulidis; Boying Gong; Xiaoxiao Li (CoRR, 2025)