Wenxuan Zhang

According to our database, Wenxuan Zhang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

Neural Computers.

Mingchen Zhuge, Changsheng Zhao, Haozhe Liu, Zijian Zhou, Shuming Liu, Wenyi Wang, Ernie Chang, Gaël Le Lan, Junjie Fei, Wenxuan Zhang, Yasheng Sun, Zhipeng Cai, Zechun Liu, Yunyang Xiong, Yining Yang, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jürgen Schmidhuber

CoRR, April, 2026

dTRPO: Trajectory Reduction in Policy Optimization of Diffusion Large Language Models.

Wenxuan Zhang, Lemeng Wu, Changsheng Zhao, Ernie Chang, Mingchen Zhuge, Zechun Liu, Andy Su, Hanxian Huang, Jun Chen, Chong Zhou, Raghuraman Krishnamoorthi, Vikas Chandra, Mohamed Elhoseiny, Wei Wen

CoRR, March, 2026

2025

Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.

Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang

CoRR, November, 2025

Vgent: Graph-based Retrieval-Reasoning-Augmented Generation For Long Video Understanding.

Xiaoqian Shen, Wenxuan Zhang, Jun Chen, Mohamed Elhoseiny

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Query-based Knowledge Transfer for Heterogeneous Learning Environments.

Norah Alballa, Wenxuan Zhang, Ziquan Liu, Ahmed M. Abdelmoniem, Mohamed Elhoseiny, Marco Canini

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models.

Wenxuan Zhang, Philip Torr, Mohamed Elhoseiny, Adel Bibi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions.

Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny

Trans. Mach. Learn. Res., 2024

Label Delay in Online Continual Learning.

Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser Nam Lim, Philip Torr, Adel Bibi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation.

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi, Mohamed Elhoseiny

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Overcoming Generic Knowledge Loss with Selective Parameter Update.

Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny

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

2023

Label Delay in Continual Learning.

Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser-Nam Lim, Mohamed Elhoseiny, Philip H. S. Torr, Adel Bibi

CoRR, 2023

Overcoming General Knowledge Loss with Selective Parameter Finetuning.

Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny

CoRR, 2023

SLAMB: Accelerated Large Batch Training with Sparse Communication.

Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis

Proceedings of the International Conference on Machine Learning, 2023

Continual Zero-Shot Learning through Semantically Guided Generative Random Walks.

Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning.

Paul Janson, Wenxuan Zhang, Rahaf Aljundi, Mohamed Elhoseiny

CoRR, 2022