Fang Kong

7 papers at tracked venues · 6 at CORE A* · active 2024–2026

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Venues

AAAI ×2 NeurIPS ×2 CIKM ×1 ICLR ×1 WWW ×1

Frequent coauthors

Shuai Li

×5

Xutong Liu

×2

John C. S. Lui

×2

Manhin Poon

×1

Xiangxiang Dai

×1

Jinhang Zuo

×1

Jingqi Tang

×1

Mingzhu Li

×1

Pinyan Lu

×1

Qijia He

×1

Minghan Wang

×1

Zhiyong Wang

×1

Papers

Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
AAAI 2026 ·
Manhin Poon
,
Xiangxiang Dai
,
Xutong Liu
, Fang Kong,
John C. S. Lui
,
Jinhang Zuo
Bandit Learning in Matching Markets with Indifference
ICLR 2025 · Fang Kong,
Jingqi Tang
,
Mingzhu Li
,
Pinyan Lu
,
John C. S. Lui
,
Shuai Li
Learning Across the Gap: Hybrid Multi-armed Bandits with Heterogeneous Offline and Online Data
NeurIPS 2025 ·
Qijia He
,
Minghan Wang
,
Xutong Liu
,
Zhiyong Wang
, Fang Kong
Improved Analysis for Bandit Learning in Matching Markets
NeurIPS 2024 · Fang Kong,
Zilong Wang
,
Shuai Li
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
AAAI 2024 · Fang Kong,
Shuai Li
Sequential Optimum Test with Multi-armed Bandits for Online Experimentation
CIKM 2024 · Fang Kong,
Penglei Zhao
,
Shichao Han
,
Yong Wang
,
Shuai Li
Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits
WWW 2024 ·
Yu Xia
, Fang Kong,
Tong Yu
,
Liya Guo
,
Ryan A. Rossi
,
Sungchul Kim
,
Shuai Li