Yuxuan Bian

According to our database, Yuxuan Bian authored at least 18 papers between 2023 and 2025.

Collaborative distances:

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

2025

IC-Custom: Diverse Image Customization via In-Context Learning.

Yaowei Li, Xiaoyu Li, Zhaoyang Zhang, Yuxuan Bian, Gan Liu, Xinyuan Li, Jiale Xu, Wenbo Hu, Yating Liu, Lingen Li, Jing Cai, Yuexian Zou, Yancheng He, Ying Shan

CoRR, July, 2025

VideoPainter: Any-length Video Inpainting and Editing with Plug-and-Play Context Control.

Yuxuan Bian, Zhaoyang Zhang, Xuan Ju, Mingdeng Cao, Liangbin Xie, Ying Shan, Qiang Xu

CoRR, March, 2025

MotionCraft: Crafting Whole-Body Motion with Plug-and-Play Multimodal Controls.

Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

RA-CFGPT: Chinese financial assistant with retrieval-augmented large language model.

Jiangtong Li, Yang Lei, Yuxuan Bian, Dawei Cheng, Zhijun Ding, Changjun Jiang

Frontiers Comput. Sci., October, 2024

BrushEdit: All-In-One Image Inpainting and Editing.

Yaowei Li, Yuxuan Bian, Xuan Ju, Zhaoyang Zhang, Ying Shan, Yuexian Zou, Qiang Xu

CoRR, 2024

Adding Multi-modal Controls to Whole-body Human Motion Generation.

Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu

CoRR, 2024

Image Inpainting Models are Effective Tools for Instruction-guided Image Editing.

Xuan Ju, Junhao Zhuang, Zhaoyang Zhang, Yuxuan Bian, Qiang Xu, Ying Shan

CoRR, 2024

Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues.

Zhijian Xu, Yuxuan Bian, Jianyuan Zhong, Xiangyu Wen, Qiang Xu

CoRR, 2024

Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning.

Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu

CoRR, 2024

Asymmetric Graph-Based Deep Reinforcement Learning for Portfolio Optimization.

Haoyu Sun, Xin Liu, Yuxuan Bian, Peng Zhu, Dawei Cheng, Yuqi Liang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2024

Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning.

Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code.

Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion.

Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, Qiang Xu

Proceedings of the Computer Vision - ECCV 2024, 2024

NGDRL: A Dynamic News Graph-Based Deep Reinforcement Learning Framework for Portfolio Optimization.

Yuxuan Bian, Haoyu Sun, Yang Lei, Peng Zhu, Dawei Cheng

Proceedings of the Database Systems for Advanced Applications, 2024

Dynamic Graph-based Deep Reinforcement Learning with Long and Short-term Relation Modeling for Portfolio Optimization.

Haoyu Sun, Yuxuan Bian, Li Han, Peng Zhu, Dawei Cheng, Yuqi Liang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Classification of Cloud Phase Using Combined Ground-Based Polarization Lidar and Millimeter Cloud Radar Observations Over the Tibetan Plateau.

Yuxuan Bian, Liping Liu, Jiafeng Zheng, Songhua Wu, Guangyao Dai

IEEE Trans. Geosci. Remote. Sens., 2023

Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code.

Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu

CoRR, 2023

CFGPT: Chinese Financial Assistant with Large Language Model.

Jiangtong Li, Yuxuan Bian, Guoxuan Wang, Yang Lei, Dawei Cheng, Zhijun Ding, Changjun Jiang

CoRR, 2023