Weihong Luo

According to our database, Weihong Luo authored at least 14 papers between 2023 and 2026.

Collaborative distances:

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

2026

Hindsight Credit Assignment for Long-Horizon LLM Agents.

Hui-Ze Tan, Xiao-Wen Yang, Hao Chen, Jie-Jing Shao, Yi Wen, Yuteng Shen, Weihong Luo, Xiku Du, Lan-Zhe Guo, Yu-Feng Li

CoRR, March, 2026

Data-Driven Function Calling Improvements in Large Language Model for Online Financial QA.

Xing Tang, Hao Chen, Shiwei Li, Fuyuan Lyu, Weijie Shi, Lingjie Li, Dugang Liu, Weihong Luo, Xiku Du, Xiuqiang He

Proceedings of the ACM Web Conference 2026, 2026

BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations.

Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao

Proceedings of the ACM Web Conference 2026, 2026

Automated Information Flow Selection for Multi-scenario Multi-task Recommendation.

Chaohua Yang, Dugang Liu, Shiwei Li, Yuwen Fu, Xing Tang, Weihong Luo, Xiangyu Zhao, Xiuqiang He, Zhong Ming

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2025

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Dugang Liu, Shiwei Li, Peiyang Liu, Bowei He, Weihong Luo, Xiuqiang He, Chen Ma

CoRR, March, 2025

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning.

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics.

Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Mixed-Precision Embeddings for Large-Scale Recommendation Models.

Shiwei Li, Zhuoqi Hu, Fuyuan Lyu, Xing Tang, Haozhao Wang, Shijie Xu, Weihong Luo, Yuhua Li, Xue Liu, Xiuqiang He, Ruixuan Li

CoRR, 2024

Masked Random Noise for Communication Efficient Federaetd Learning.

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

CoRR, 2024

The quantum Ising model for perfect matching and solving it with variational quantum eigensolver.

Qilin Zheng, Pingyu Zhu, Chao Wu, Miaomiao Yu, Weihong Luo, Ping Xu

Sci. China Inf. Sci., 2024

MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems.

Dugang Liu, Chaohua Yang, Xing Tang, Yejing Wang, Fuyuan Lyu, Weihong Luo, Xiuqiang He, Zhong Ming, Xiangyu Zhao

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Masked Random Noise for Communication-Efficient Federated Learning.

Shiwei Li, Yingyi Cheng, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

FedBAT: Communication-Efficient Federated Learning via Learnable Binarization.

Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

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

2023

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network.

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue (Steve) Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023