Di Wu

According to our database, Di Wu authored at least 6 papers between 2022 and 2026.

Collaborative distances:

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

2026

LASER: An Efficient Target-Aware Segmented Attention Framework for End-to-End Long Sequence Modeling.

Tianhe Lin, Ziwei Xiong, Baoyuan Ou, Yingjie Qin, Lai Xu, Xiaocheng Zhong, Yao Hu, Zhiyong Wang, Tao Zhou, Yubin Xu, Di Wu

CoRR, February, 2026

2025

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

NoteLLM-2: Multimodal Large Representation Models for Recommendation.

Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Yan Gao, Yao Hu, Enhong Chen

CoRR, 2024

NoteLLM: A Retrievable Large Language Model for Note Recommendation.

Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Di Wu, Enhong Chen

CoRR, 2024

2022

Multi-Relational Graph Convolution Network for Stock Movement Prediction.

Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen

Proceedings of the International Joint Conference on Neural Networks, 2022

A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio.

Lijun Zha, Le Dai, Tong Xu, Di Wu

Proceedings of the International Joint Conference on Neural Networks, 2022