Xiangxiang Dai

According to our database, Xiangxiang Dai authored at least 30 papers between 2022 and 2026.

Collaborative distances:

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

2026

Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing.

Zeyu Zhang, Xiangxiang Dai, Ziyi Han, Xutong Liu, John C. S. Lui

CoRR, March, 2026

Pull Requests as a Training Signal for Repo-Level Code Editing.

Qinglin Zhu, Tianyu Chen, Shuai Lu, Lei Ji, Runcong Zhao, Murong Ma, Xiangxiang Dai, Yulan He, Lin Gui, Peng Cheng, Yeyun Gong

CoRR, February, 2026

Combinatorial Logistic Online Learning and Its Applications in Nonlinear Networked Systems.

Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Carlee Joe-Wong, Mohammad Hajiesmaili, John C. S. Lui

IEEE Trans. Netw., 2026

Networked Edge Resource Orchestration for Mobile AI-Generated Content Services.

Yuxin Liang, Peng Yang, Xiangxiang Dai, Yuanyuan He, Feng Lyu

IEEE Trans. Cogn. Commun. Netw., 2026

Exploring multi-layered networks through random walks: bridging offline optimization and online learning.

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

Artif. Intell., 2026

BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning.

Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses.

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

BEVCooper: Accurate and Communication-Efficient Bird's-Eye-View Perception in Vehicular Networks.

Jiawei Hou, Peng Yang, Xiangxiang Dai, Mingliu Liu, Conghao Zhou

CoRR, December, 2025

Trading Vector Data in Vector Databases.

Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang

CoRR, November, 2025

HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization.

Ziyi Han, Huanyu Wang, Zeyu Zhang, Xiangxiang Dai, Xutong Liu, John C. S. Lui

CoRR, October, 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

Source Code for "Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits".

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

Dataset, May, 2025

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

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

Dataset, May, 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

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

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

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

Offline Learning for Combinatorial Multi-armed Bandits.

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

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