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Zhongxiang Dai

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

24

Venues

8

Active years

2015–2026

Best venue rank

A*

Where they publish

Papers

24 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIFederated Linear Dueling Bandits.Xuhan Huang, Yan Hu, Zhiyan Li, Zhiyong Wang, Zhongxiang Dai
2026ACLSelf-Reflective Generation at Test Time.Jian Mu, Qixin Zhang, Zhiyong Wang, Menglin Yang, Shuang Qiu, Chengwei Qin, Zhongxiang Dai, Yao Shu
2026ACLLarge Language Model-Enhanced Multi-Armed Bandits.Jiahang Sun, Zhiyong Wang, Runhan Yang, Chenjun Xiao, John C. S. Lui, Zhongxiang Dai
2026SIGCOMMTree-based Publish-Subscribe Model and Load Partition for Distributed Object System.Lujia Yin, Zhongxiang Dai, Hailiang Chen, Xiufen Fu, Menglong Lu, Chuan Ai
2025ACLWASA: WAtermark-based Source Attribution for Large Language Model-Generated Data.Xinyang Lu, Jingtan Wang, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, Bryan Kian Hsiang Low
2025ICLRNeural Dueling Bandits: Preference-Based Optimization with Human Feedback.Arun Verma, Zhongxiang Dai, Xiaoqiang Lin, Patrick Jaillet, Bryan Kian Hsiang Low
2025ICMLRefining Adaptive Zeroth-Order Optimization at Ease.Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai
2025ICMLOnline Clustering of Dueling Bandits.Zhiyong Wang, Jiahang Sun, Mingze Kong, Jize Xie, Qinghua Hu, John C. S. Lui, Zhongxiang Dai
2024EMNLPPosition Paper: Data-Centric AI in the Age of Large Language Models.Xinyi Xu, Zhaoxuan Wu, Rui Qiao, Arun Verma, Yao Shu, Jingtan Wang, Xinyuan Niu, Zhenfeng He, Jiangwei Chen, Zijian Zhou, Gregory Kang Ruey Lau, Hieu Dao, Lucas Agussurja, Rachael Hwee Ling Sim, Xiaoqiang Lin, Wenyang Hu, Zhongxiang Dai, Pang Wei Koh, Bryan Kian Hsiang Low
2024ICLRRobustifying and Boosting Training-Free Neural Architecture Search.Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
2024ICMLUse Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers.Xiaoqiang Lin, Zhaoxuan Wu, Zhongxiang Dai, Wenyang Hu, Yao Shu, See-Kiong Ng, Patrick Jaillet, Bryan Kian Hsiang Low
2023ICLRFederated Neural Bandits.Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2023ICLRZeroth-Order Optimization with Trajectory-Informed Derivative Estimation.Yao Shu, Zhongxiang Dai, Weicong Sng, Arun Verma, Patrick Jaillet, Bryan Kian Hsiang Low
2023ICMLTraining-Free Neural Active Learning with Initialization-Robustness Guarantees.Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low
2022ICLRNASI: Label- and Data-agnostic Neural Architecture Search at Initialization.Yao Shu, Shaofeng Cai, Zhongxiang Dai, Beng Chin Ooi, Bryan Kian Hsiang Low
2022ICMLBayesian Optimization under Stochastic Delayed Feedback.Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low
2022UAIOn provably robust meta-Bayesian optimization.Zhongxiang Dai, Yizhou Chen, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet
2022UAINeural ensemble search via Bayesian sampling.Yao Shu, Yizhou Chen, Zhongxiang Dai, Bryan Kian Hsiang Low
2021ICMLValue-at-Risk Optimization with Gaussian Processes.Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2020ICMLR2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games.Zhongxiang Dai, Yizhou Chen, Bryan Kian Hsiang Low, Patrick Jaillet, Teck-Hua Ho
2020ICMLPrivate Outsourced Bayesian Optimization.Dmitrii Kharkovskii, Zhongxiang Dai, Bryan Kian Hsiang Low
2019ICMLBayesian Optimization Meets Bayesian Optimal Stopping.Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet
2019UAIBayesian Optimization with Binary Auxiliary Information.Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low
2015ICONIPCognitive Workload Discrimination in Flight Simulation Task Using a Generalized Measure of Association.Zhongxiang Dai, Jos C. Prncipe, Anastasios Bezerianos, Nitish V. Thakor