Shiwei Li

According to our database, Shiwei Li authored at least 20 papers between 2023 and 2026.

Collaborative distances:

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

2026

Fighting Numerical Hallucinations via Data-centric Compilation for Online Financial QA.

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

CoRR, May, 2026

Looking Farther with Confidence: Uncertainty-Guided Future Learning for Sequential Recommendation.

Ziqiang Cui, Xing Tang, Peiyang Liu, Xiaokun Zhang, Shiwei Li, Xiuqiang He, Chen Ma

CoRR, May, 2026

Nonlinearity as Rank: Generative Low-Rank Adapter with Radial Basis Functions.

Yihao Ouyang, Shiwei Li, Haozhao Wang, Xiandi Luo, Zhuoqi Hu, Yuetong Song, Qiyu Qin, Yichen Li, Ruixuan Li

CoRR, February, 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

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

FedBiF: Communication-Efficient Federated Learning via Bits Freezing.

Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong

IEEE Trans. Parallel Distributed Syst., December, 2025

CORE: Lossless Compression for Retrieval-Augmented LLMs via Reinforcement Learning.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Peiyang Liu, Shiwei Li, Bowei He, Jiamin Chen, Xiuqiang He, Chen Ma

CoRR, August, 2025

BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity.

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li

CoRR, August, 2025

Beyond Higher Rank: Token-wise Input-Output Projections for Efficient Low-Rank Adaptation.

Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li

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

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation.

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

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

EmoSync: Multi-Stage Reasoning with Multimodal Large Language Models for Fine-Grained Emotion Recognition.

Jintao Tong, Shiwei Li, Zijian Zhuang, Jinghan Hu, Yixiong Zou

Proceedings of the 3rd International Workshop on Multimodal and Responsible Affective Computing, 2025

Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction.

Xing Tang, Chaohua Yang, Yuwen Fu, Dongyang Ao, Shiwei Li, Fuyuan Lyu, Dugang Liu, Xiuqiang He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 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

Embedding Compression in Recommender Systems: A Survey.

Shiwei Li, Huifeng Guo, Xing Tang, Ruiming Tang, Lu Hou, Ruixuan Li, Rui Zhang

ACM Comput. Surv., May, 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

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

Adaptive Low-Precision Training for Embeddings in Click-Through Rate Prediction.

Shiwei Li, Huifeng Guo, Lu Hou, Wei Zhang, Xing Tang, Ruiming Tang, Rui Zhang, Ruixuan Li

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023