Xiangxiang Dai

According to our database, Xiangxiang Dai authored at least 18 papers between 2022 and 2025.

Collaborative distances:

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

2025

Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference.

Ziyi Han, Xutong Liu, Ruiting Zhou, Xiangxiang Dai, John C. S. Lui

CoRR, September, 2025

Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation.

Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong

CoRR, August, 2025

Enhancing Cooperative LiDAR-Based Perception Accuracy in Vehicular Edge Networks.

Jiawei Hou, Peng Yang, Xiangxiang Dai, Tian Qin, Feng Lyu

IEEE Trans. Intell. Transp. Syst., June, 2025

Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution.

Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo

CoRR, June, 2025

Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits.

Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C. S. Lui

CoRR, May, 2025

Offline Learning for Combinatorial Multi-armed Bandits.

Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen

CoRR, January, 2025

Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification.

Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C. S. Lui

CoRR, January, 2025

Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem With Triggered or Self-Reliant Arms.

Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui

IEEE Trans. Netw., 2025

Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning.

Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui

Proceedings of the ACM on Web Conference 2025, 2025

Combinatorial Logistic Bandits.

Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui

Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025

A Unified Online-Offline Framework for Co-Branding Campaign Recommendations.

Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts.

Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems.

Xiangxiang Dai, Zhiyong Wang, Jize Xie, Tong Yu, John C. S. Lui

IEEE Trans. Knowl. Data Eng., December, 2024

Conversational Recommendation With Online Learning and Clustering on Misspecified Users.

Xiangxiang Dai, Zhiyong Wang, Jize Xie, Xutong Liu, John C. S. Lui

IEEE Trans. Knowl. Data Eng., December, 2024

Cost-Effective Online Multi-LLM Selection with Versatile Reward Models.

Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C. S. Lui

CoRR, 2024

AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics.

Xiangxiang Dai, Zeyu Zhang, Peng Yang, Yuedong Xu, Xutong Liu, John C. S. Lui

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

Quantifying the Merits of Network-Assist Online Learning in Optimizing Network Protocols.

Xiangxiang Dai, Zhiyong Wang, Jiancheng Ye, John C. S. Lui

Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

2022

RESPIRE: Reducing Spatial-Temporal Redundancy for Efficient Edge-Based Industrial Video Analytics.

Xiangxiang Dai, Peng Yang, Xinyu Zhang, Zhewei Dai, Li Yu

IEEE Trans. Ind. Informatics, 2022