Wenlong Deng

According to our database, Wenlong Deng authored at least 31 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Spend Less, Reason Better: Budget-Aware Value Tree Search for LLM Agents.

Yushu Li, Wenlong Deng, Jiajin Li, Xiaoxiao Li

CoRR, March, 2026

When RAG Hurts: Diagnosing and Mitigating Attention Distraction in Retrieval-Augmented LVLMs.

Beidi Zhao, Wenlong Deng, Xinting Liao, Yushu Li, Nazim Shaikh, Yao Nie, Xiaoxiao Li

CoRR, February, 2026

Textual Equilibrium Propagation for Deep Compound AI Systems.

Minghui Chen, Wenlong Deng, James Zou, Han Yu, Xiaoxiao Li

CoRR, January, 2026

Advantage Shaping as Surrogate Reward Maximization: Unifying Pass@K Policy Gradients.

Christos Thrampoulidis, Sadegh Mahdavi, Wenlong Deng

Trans. Mach. Learn. Res., 2026

2025

Multi-Source Joint Adaptive Distribution With Online Transfer Learning for Cross-Domain Fault Diagnosis.

Xingchen Li, Wenlong Deng, Sisindisiwe Nomalanga Ncube, Ruotong Ming, Chaoqun Duan, Yi Qin, Fuqiang Liu, Jun Luo, Huayan Pu

IEEE Trans. Reliab., December, 2025

On GRPO Collapse in Search-R1: The Lazy Likelihood-Displacement Death Spiral.

Wenlong Deng, Yushu Li, Boying Gong, Yi Ren, Christos Thrampoulidis, Xiaoxiao Li

CoRR, December, 2025

Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning.

Wenlong Deng, Yi Ren, Yushu Li, Boying Gong, Danica J. Sutherland, Xiaoxiao Li, Christos Thrampoulidis

CoRR, October, 2025

Efficient Forward-Only Data Valuation for Pretrained LLMs and VLMs.

Wenlong Deng, Jiaming Zhang, Qi Zeng, Christos Thrampoulidis, Boying Gong, Xiaoxiao Li

CoRR, August, 2025

Enhancing Clinical Multiple-Choice Questions Benchmarks with Knowledge Graph Guided Distractor Generation.

Running Yang, Wenlong Deng, Minghui Chen, Yuyin Zhou, Xiaoxiao Li

CoRR, June, 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, May, 2025

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.

Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Changin Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, Yuyin Zhou

CoRR, April, 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

HGA-DP: Optimal Partitioning of Multimodal DNNs Enabling Real-Time Image Inference for AR-Assisted Communication Maintenance on Cloud-Edge-End Systems.

Cong Ye, Ruihang Zhang, Xiao Li, Wenlong Deng, Jianlei Wang, Sujie Shao

Inf., 2025

GMValuator: Similarity-based Data Valuation for Generative Models.

Jiaxi Yang, Wenlong Deng, Benlin Liu, Yangsibo Huang, James Zou, Xiaoxiao Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models.

Wenlong Deng, Yize Zhao, Vala Vakilian, Minghui Chen, Xiaoxiao Li, Christos Thrampoulidis

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Can Textual Gradient Work in Federated Learning?

Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Universal Debiased Editing on Foundation Models for Fair Medical Image Classification.

Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li

CoRR, 2024

Content Conditional Debiasing for Fair Text Embedding.

Wenlong Deng, Blair Chen, Xiaoxiao Li, Christos Thrampoulidis

CoRR, 2024

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification.

Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning.

Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Duplex adversarial domain discriminative network for cross-domain partial transfer fault diagnosis.

Fuqiang Liu, Wenlong Deng, Chaoqun Duan, Yi Qin, Jun Luo, Huayan Pu

Knowl. Based Syst., November, 2023

Heterogeneous Federated Learning with Group-Aware Prompt Tuning.

Wenlong Deng, Christos Thrampoulidis, Xiaoxiao Li

CoRR, 2023

Community-Aware Transformer for Autism Prediction in fMRI Connectome.

Anushree Bannadabhavi, Soojin Lee, Wenlong Deng, Xiaoxiao Li

CoRR, 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, Rex Ying, Xiaoxiao Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations.

Wenlong Deng, Yuan Zhong, Qi Dou, Xiaoxiao Li

Proceedings of the Information Processing in Medical Imaging, 2023

2022

SML: Enhance the Network Smoothness with Skip Meta Logit for CTR Prediction.

Wenlong Deng, Lang Lang, Zhen Liu, Bin Liu

CoRR, 2022

2020

Joint Human Pose Estimation and Stereo 3D Localization.

Wenlong Deng, Lorenzo Bertoni, Sven Kreiss, Alexandre Alahi

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

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

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