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ORCIDXiangxiang Dai
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2020 – today
- 2026
[j8]Xiangxiang Dai
, Xutong Liu, Jinhang Zuo, Xiaowei Chen, Wei Chen, John C. S. Lui:
Exploring multi-layered networks through random walks: bridging offline optimization and online learning. Artif. Intell. 354: 104500 (2026)- [j7]Yuxin Liang, Peng Yang, Xiangxiang Dai, Yuanyuan He, Feng Lyu:
Networked Edge Resource Orchestration for Mobile AI-Generated Content Services. IEEE Trans. Cogn. Commun. Netw. 12: 5063-5076 (2026) - [j6]Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Carlee Joe-Wong, Mohammad Hajiesmaili, John C. S. Lui:
Combinatorial Logistic Online Learning and Its Applications in Nonlinear Networked Systems. IEEE Trans. Netw. 34: 3932-3946 (2026) - [c11]Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo:
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution. AAAI 2026: 24855-24863 - [c10]Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C. S. Lui:
A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses. AAAI 2026: 37323-37331 - [c9]Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang:
BANCO: Drift-Aware Batched Bandits for Adaptive Proximity Graph Pruning. WWW 2026: 2183-2194 - [i16]Qinglin Zhu, Tianyu Chen, Shuai Lu, Lei Ji, Runcong Zhao, Murong Ma, Xiangxiang Dai, Yulan He, Lin Gui, Peng Cheng, Yeyun Gong:
Pull Requests as a Training Signal for Repo-Level Code Editing. CoRR abs/2602.07457 (2026) - [i15]Zeyu Zhang, Xiangxiang Dai, Ziyi Han, Xutong Liu, John C. S. Lui:
Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing. CoRR abs/2603.15647 (2026) - 2025
- [j5]Jiawei Hou, Peng Yang, Xiangxiang Dai, Tian Qin, Feng Lyu:
Enhancing Cooperative LiDAR-Based Perception Accuracy in Vehicular Edge Networks. IEEE Trans. Intell. Transp. Syst. 26(6): 8283-8296 (2025) - [j4]Xiangxiang Dai, Xutong Liu, Jinhang Zuo, Hong Xie, Carlee Joe-Wong, John C. S. Lui:
Variance-Aware Bandit Framework for Dynamic Probabilistic Maximum Coverage Problem With Triggered or Self-Reliant Arms. IEEE Trans. Netw. 33(3): 982-993 (2025) - [c8]Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui:
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. ICLR 2025 - [c7]Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen:
Offline Learning for Combinatorial Multi-armed Bandits. ICML 2025 - [c6]Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui:
A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. KDD (2) 2025: 427-438 - [c5]Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C. S. Lui:
Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits. KDD (2) 2025: 1833-1844 - [c4]Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui:
Combinatorial Logistic Bandits. SIGMETRICS (Abstracts) 2025: 112-114 - [c3]Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui:
Towards Efficient Conversational Recommendations: Expected Value of Information Meets Bandit Learning. WWW 2025: 4226-4238 - [d2]Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui:
Source Code for "A Unified Online-Offline Framework for Co-Branding Campaign Recommendations". Zenodo, 2025
- [d1]Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C. S. Lui:
Source Code for "Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits". Zenodo, 2025 - [i14]Zhuohua Li, Maoli Liu, Xiangxiang Dai, John C. S. Lui:
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts. CoRR abs/2501.00891 (2025) - [i13]Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C. S. Lui:
Multi-Agent Conversational Online Learning for Adaptive LLM Response Identification. CoRR abs/2501.01849 (2025) - [i12]Xutong Liu, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C. S. Lui, Wei Chen:
Offline Learning for Combinatorial Multi-armed Bandits. CoRR abs/2501.19300 (2025) - [i11]Maoli Liu, Zhuohua Li, Xiangxiang Dai, John C. S. Lui:
Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits. CoRR abs/2505.21393 (2025) - [i10]Xiangxiang Dai, Xiaowei Sun, Jinhang Zuo, Xutong Liu, John C. S. Lui:
A Unified Online-Offline Framework for Co-Branding Campaign Recommendations. CoRR abs/2505.22254 (2025) - [i9]Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo:
Online Multi-LLM Selection via Contextual Bandits under Unstructured Context Evolution. CoRR abs/2506.17670 (2025) - [i8]Xutong Liu, Baran Atalar, Xiangxiang Dai, Jinhang Zuo, Siwei Wang, John C. S. Lui, Wei Chen, Carlee Joe-Wong:
Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation. CoRR abs/2508.07675 (2025) - [i7]Ziyi Han, Xutong Liu, Ruiting Zhou, Xiangxiang Dai, John C. S. Lui:
Faster, Smaller, and Smarter: Task-Aware Expert Merging for Online MoE Inference. CoRR abs/2509.19781 (2025) - [i6]Ziyi Han, Huanyu Wang, Zeyu Zhang, Xiangxiang Dai, Xutong Liu, John C. S. Lui:
HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization. CoRR abs/2510.12266 (2025) - [i5]Jin Cheng, Xiangxiang Dai, Ningning Ding, John C. S. Lui, Jianwei Huang:
Trading Vector Data in Vector Databases. CoRR abs/2511.07139 (2025) - [i4]Jiawei Hou, Peng Yang, Xiangxiang Dai, Mingliu Liu, Conghao Zhou:
BEVCooper: Accurate and Communication-Efficient Bird's-Eye-View Perception in Vehicular Networks. CoRR abs/2512.19082 (2025) - 2024
- [j3]Xiangxiang Dai, Zhiyong Wang, Jize Xie, Xutong Liu, John C. S. Lui:
Conversational Recommendation With Online Learning and Clustering on Misspecified Users. IEEE Trans. Knowl. Data Eng. 36(12): 7825-7838 (2024) - [j2]Xiangxiang Dai, Zhiyong Wang, Jize Xie, Tong Yu, John C. S. Lui:
Online Learning and Detecting Corrupted Users for Conversational Recommendation Systems. IEEE Trans. Knowl. Data Eng. 36(12): 8939-8953 (2024) - [c2]Xiangxiang Dai, Zhiyong Wang, Jiancheng Ye, John C. S. Lui:
Quantifying the Merits of Network-Assist Online Learning in Optimizing Network Protocols. IWQoS 2024: 1-10 - [c1]Xiangxiang Dai, Zeyu Zhang, Peng Yang, Yuedong Xu, Xutong Liu, John C. S. Lui:
AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics. ACM Multimedia 2024: 7229-7238 - [i3]Xiangxiang Dai, Jin Li, Xutong Liu, Anqi Yu, John C. S. Lui:
Cost-Effective Online Multi-LLM Selection with Versatile Reward Models. CoRR abs/2405.16587 (2024) - [i2]Xiangxiang Dai, Zeyu Zhang, Peng Yang, Yuedong Xu, Xutong Liu, John C. S. Lui:
AxiomVision: Accuracy-Guaranteed Adaptive Visual Model Selection for Perspective-Aware Video Analytics. CoRR abs/2407.20124 (2024) - [i1]Xutong Liu, Xiangxiang Dai, Xuchuang Wang, Mohammad Hajiesmaili, John C. S. Lui:
Combinatorial Logistic Bandits. CoRR abs/2410.17075 (2024) - 2022
- [j1]Xiangxiang Dai, Peng Yang, Xinyu Zhang, Zhewei Dai, Li Yu:
RESPIRE: Reducing Spatial-Temporal Redundancy for Efficient Edge-Based Industrial Video Analytics. IEEE Trans. Ind. Informatics 18(12): 9324-9334 (2022)
Coauthor Index
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