Publications
(*equal contribution, #corresponding author, listed in chronological order)
Preprints
[arXiv] Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing
Zeyu Zhang, Xiangxiang Dai, Ziyi Han, Xutong Liu, John C.S. Lui.[arXiv] HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization
Ziyi Han, Huanyu Wang, Zeyu Zhang, Xiangxiang Dai, Xutong Liu, John C.S. Lui.
Conferences:
2026
[INFOCOM] Constraint-Aware Combinatorial Bandits: Theoretical Foundations and Network Applications
Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C.S. Lui.
Accepted in the IEEE International Conference on Computer Communications (INFOCOM), 2026.
[arXiv][WWW] BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning
Jin Cheng, Xiangxiang Dai, Ning Ning Ding, John C.S. Lui, Jian Wei Huang.
Accepted in the ACM The Web Conference (WWW), 2026.
[Link][ICML] 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.
Accepted in the International Conference on Machine Learning (ICML), 2026.
[arXiv][INFOCOM] 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.
Accepted in the IEEE International Conference on Computer Communications (INFOCOM), 2026.
[arXiv][INFOCOM] BEVCooper: Accurate and Communication-Efficient Bird’s-Eye-View Perception in Vehicular Networks
Jiawei Hou, Peng Yang, Xiangxiang Dai, Mingliu Liu, Conghao Zhou.
Accepted in the IEEE International Conference on Computer Communications (INFOCOM), 2026.
[arXiv][INFOCOM] Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference
Ziyi Han, Xutong Liu, Ruiting Zhou, Xiangxiang Dai, John C.S. Lui.
Accepted in the IEEE International Conference on Computer Communications (INFOCOM), 2026.
[arXiv][AAAI] 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.
Accepted in the Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.
[arXiv], [Code], [Poster][AAAI] 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.
Accepted in the Annual AAAI Conference on Artificial Intelligence (AAAI), 2026.
[arXiv], [Code][ICDE] Trading Vector Data in Vector Databases
Jin Cheng, Xiangxiang Dai, Ning Ning Ding, John C.S. Lui, Jian Wei Huang.
Accepted in the IEEE International Conference on Data Engineering (ICDE) 2026.
[arXiv]
2025
[SIGKDD] A Unified Online-Offline Framework for Co-Branding Campaign Recommendations
Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C.S. Lui.
Accepted in the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025.
[Link], [arXiv], [Code], [Promotional Video], [Slides][SIGKDD] Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits
Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C.S. Lui.
Accepted in the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2025. (AR: 365/1988=18.4%)
[Link], [arXiv][SIGMETRICS] Combinatorial Logistic Bandits
Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C.S. Lui.
Accepted in the ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), 2025.
🏆Best Paper Finalists (Top 5)
[Link], [arXiv], [Code], [Slides][ICML] Offline Learning for Combinatorial Multi-armed Bandits
Xutong Liu, Xiangxiang Dai#, Jinhang Zuo#, Siwei Wang, Carlee-Joe Wong, John C.S. Lui, Wei Chen#.
Accepted in the International Conference on Machine Learning (ICML), 2025.
[Link], [arXiv], [Slides][ICLR] Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui.
Accepted in the International Conference on Learning Representations (ICLR), 2025.
[OpenReview], [Poster], [arXiv][WWW] Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning
Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C.S. Lui.
Accepted in the ACM The Web Conference (WWW), 2025.
[Link], [Poster]
2024
[ACM MM] 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.
Accepted in the ACM Multimedia (MM), 2024.
[Link], [arXiv], [Poster], [Code], [ACM showcase on Kudos][IWQoS] Quantifying the Merits of Network-Assist Online Learning in Optimizing Network Protocols
Xiangxiang Dai*, Zhiyong Wang*, Jiancheng Ye, and John C.S. Lui.
Accepted in the IEEE/ACM International Symposium on Quality of Service (IWQoS), 2024.
[Link], [PDF], [Slides]
Journals:
2026
[TMC] Online Outcome-Driven Configuration Selection with Adaptive Grouping for Live Video Streams
Xiangxiang Dai*, Zeyu Zhang*, Ziyi Han, Xutong Liu, Peng Yang, John C.S. Lui.
Accepted by IEEE Transactions on Mobile Computing (TMC), 2026.[AIJ] 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.
Accepted by Elsevier Artificial Intelligence Journal (AIJ), 2026.
[Link][TON] 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.
Accepted by IEEE/ACM Transactions on Networking (TON), 2026.
[Link][TCCN] Networked Edge Resource Orchestration for Mobile AI-Generated Content Services
Yuxin Liang, Peng Yang, Xiangxiang Dai, Yuanyuan He, Feng Lyu.
Published in the IEEE Transactions on Cognitive Communications and Networking (TCCN), 2026.
[Link]
2025
[TON] 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.
Accepted in the IEEE/ACM Transactions on Networking (TON), 2025.
[Link][T-ITS] Enhancing Cooperative LiDAR-based Perception Accuracy in Vehicular Edge Networks
Jiawei Hou, Peng Yang, Xiangxiang Dai, Tian Qin, Feng Lyu.
Accepted in the IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2025.
[Link]
2024
[TKDE] Conversational Recommendation with Online Learning and Clustering on Misspecified Users
Xiangxiang Dai*, Zhiyong Wang*, Jize Xie, Xutong Liu, John C.S. Lui.
Accepted in the IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
[Link][TKDE] Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems
Xiangxiang Dai*, Zhiyong Wang*, Jize Xie, Tong Yu, and John C.S. Lui.
Accepted in the IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
[Link]
2022
- [TII] RESPIRE: Reducing Spatial–Temporal Redundancy for Efficient Edge-Based Industrial Video Analytics
Xiangxiang Dai, Peng Yang, Xinyu Zhang, Zhewei Dai, and Li Yu.
Accepted in the IEEE Transactions on Industrial Informatics (TII), 2022.
[Link]