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Bryan Kian Hsiang Low

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

78

Venues

12

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

78 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLEULoInf: Efficient Hessian-Free Entropy Based Uncertainty-Aware Data Influence Approximation.Runxin Cai, Jingtan Wang, Bryan Kian Hsiang Low
2026ACLPrompting the Unknown: Understanding Response Uncertainty in Large Language Models.Ze Yu Zhang, Arun Verma, Finale Doshi-Velez, Bryan Kian Hsiang Low
2026EACLRespecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation.Ze Yu Zhang, Zitao Li, Yaliang Li, Bolin Ding, Bryan Kian Hsiang Low
2025AAAIPaid with Models: Optimal Contract Design for Collaborative Machine Learning.Bingchen Wang, Zhaoxuan Wu, Fusheng Liu, Bryan Kian Hsiang Low
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
2025ACLTETRIS: Optimal Draft Token Selection for Batch Speculative Decoding.Zhaoxuan Wu, Zijian Zhou, Arun Verma, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low
2025EMNLPDipper: Diversity in Prompts for Producing Large Language Model Ensembles in Reasoning Tasks.Wenyang Hu, Gregory Kang Ruey Lau, Diwen Liu, Jizhuo Chen, See-Kiong Ng, Bryan Kian Hsiang Low
2025EMNLPUncovering Scaling Laws for Large Language Models via Inverse Problems.Arun Verma, Zhaoxuan Wu, Zijian Zhou, Xiaoqiang Lin, Zhiliang Chen, Rachael Hwee Ling Sim, Rui Qiao, Jingtan Wang, Nhung Bui, Xinyuan Niu, Wenyang Hu, Gregory Kang Ruey Lau, Zi-Yu Khoo, Zitong Zhao, Xinyi Xu, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2025ICLRGroup-robust Sample Reweighting for Subpopulation Shifts via Influence Functions.Rui Qiao, Zhaoxuan Wu, Jingtan Wang, Pang Wei Koh, Bryan Kian Hsiang Low
2025ICLRBroaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space.Zhiliang Chen, Xinyuan Niu, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2025ICLRPIED: Physics-Informed Experimental Design for Inverse Problems.Apivich Hemachandra, Gregory Kang Ruey Lau, See-Kiong Ng, Bryan Kian Hsiang Low
2025ICLREfficient Top-m Data Values Identification for Data Selection.Xiaoqiang Lin, Xinyi Xu, 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
2025ICMLNICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric.Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Pang Wei Koh, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2025ICMLBILBO: BILevel Bayesian Optimization.Wan Theng Ruth Chew, Quoc Phong Nguyen, Bryan Kian Hsiang Low
2025ICMLFerret: Federated Full-Parameter Tuning at Scale for Large Language Models.Yao Shu, Wenyang Hu, See-Kiong Ng, Bryan Kian Hsiang Low, Fei Richard Yu
2024AAAIDecentralized Sum-of-Nonconvex Optimization.Zhuanghua Liu, Bryan Kian Hsiang Low
2024AAAIIncremental Quasi-Newton Methods with Faster Superlinear Convergence Rates.Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low
2024AAAIDeRDaVa: Deletion-Robust Data Valuation for Machine Learning.Xiao Tian, Rachael Hwee Ling Sim, Jue Fan, Bryan Kian Hsiang Low
2024EMNLPWaterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs.Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
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
2024ICLRUnderstanding Domain Generalization: A Noise Robustness Perspective.Rui Qiao, Bryan Kian Hsiang Low
2024ICLRRobustifying and Boosting Training-Free Neural Architecture Search.Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
2024ICLRPINNACLE: PINN Adaptive ColLocation and Experimental points selection.Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
2024ICLROptimistic Bayesian Optimization with Unknown Constraints.Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet
2024ICLRMeta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes.Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2024ICLRA Unified Framework for Bayesian Optimization under Contextual Uncertainty.Sebastian Shenghong Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low
2024ICLRIncentive-Aware Federated Learning with Training-Time Model Rewards.Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar, Bryan Kian Hsiang Low
2024ICMLTowards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components.Zhiliang Chen, Chuan-Sheng Foo, 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
2024ICMLDistributionally Robust Data Valuation.Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu, See-Kiong Ng, Bryan Kian Hsiang Low
2024ICMLZeroth-Order Methods for Constrained Nonconvex Nonsmooth Stochastic Optimization.Zhuanghua Liu, Cheng Chen, Luo Luo, Bryan Kian Hsiang Low
2024ICMLDeletion-Anticipative Data Selection with a Limited Budget.Rachael Hwee Ling Sim, Jue Fan, Xiao Tian, Patrick Jaillet, Bryan Kian Hsiang Low
2024ICMLHelpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions.Jingtan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2023AAAIProbably Approximate Shapley Fairness with Applications in Machine Learning.Zijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan Sheng Foo, Bryan Kian Hsiang Low
2023AISTATSNo-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities.Sebastian Shenghong Tay, Quoc Phong Nguyen, Chuan Sheng Foo, Bryan Kian Hsiang Low
2023AISTATSFAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery.Xinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan Sheng Foo, Bryan Kian Hsiang Low
2023ICLRFederated Neural Bandits.Zhongxiang Dai, Yao Shu, Arun Verma, Flint Xiaofeng Fan, Bryan Kian Hsiang Low, Patrick Jaillet
2023ICLRRisk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation.Thanh Lam, Arun Verma, 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
2023ICMLCollaborative Causal Inference with Fair Incentives.Rui Qiao, Xinyi Xu, 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
2023ICMLFair yet Asymptotically Equal Collaborative Learning.Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low
2022AAAIIncentivizing Collaboration in Machine Learning via Synthetic Data Rewards.Sebastian Shenghong Tay, Xinyi Xu, Chuan Sheng Foo, Bryan Kian Hsiang Low
2022AISTATSNear-Optimal Task Selection for Meta-Learning with Mutual Information and Online Variational Bayesian Unlearning.Yizhou Chen, Shizhuo Zhang, Bryan Kian Hsiang Low
2022AsiaCCSMarkov Chain Monte Carlo-Based Machine Unlearning: Unlearning What Needs to be Forgotten.Quoc Phong Nguyen, Ryutaro Oikawa, Dinil Mon Divakaran, Mun Choon Chan, 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
2022ICMLOn the Convergence of the Shapley Value in Parametric Bayesian Learning Games.Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low
2022ICMLEfficient Distributionally Robust Bayesian Optimization with Worst-case Sensitivity.Sebastian Shenghong Tay, Chuan Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low
2022ICMLBayesian Optimization under Stochastic Delayed Feedback.Arun Verma, Zhongxiang Dai, Bryan Kian Hsiang Low
2022ICMLDAVINZ: Data Valuation using Deep Neural Networks at Initialization.Zhaoxuan Wu, Yao Shu, Bryan Kian Hsiang Low
2022IJCAIData Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges.Rachael Hwee Ling Sim, Xinyi Xu, 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
2021AAAIAn Information-Theoretic Framework for Unifying Active Learning Problems.Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2021AAAITop-k Ranking Bayesian Optimization.Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet
2021ICMLModel Fusion for Personalized Learning.Thanh Chi Lam, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet
2021ICMLValue-at-Risk Optimization with Gaussian Processes.Quoc Phong Nguyen, Zhongxiang Dai, Bryan Kian Hsiang Low, Patrick Jaillet
2021ICMLCollaborative Bayesian Optimization with Fair Regret.Rachael Hwee Ling Sim, Yehong Zhang, Bryan Kian Hsiang Low, Patrick Jaillet
2021IJCNNConvolutional Normalizing Flows for Deep Gaussian Processes.Haibin Yu, Dapeng Liu, Bryan Kian Hsiang Low, Patrick Jaillet
2021UAILearning to learn with Gaussian processes.Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
2021UAITrusted-maximizers entropy search for efficient Bayesian optimization.Quoc Phong Nguyen, Zhaoxuan Wu, Bryan Kian Hsiang Low, Patrick Jaillet
2020AAAIScalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression.Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low
2020AISTATSNonmyopic Gaussian Process Optimization with Macro-Actions.Dmitrii Kharkovskii, Chun Kai Ling, Bryan Kian Hsiang Low
2020CoNEXTFCM-sketch: generic network measurements with data plane support.Cha Hwan Song, Pravein Govindan Kannan, Bryan Kian Hsiang Low, Mun Choon Chan
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
2020ICMLLearning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion.Trong Nghia Hoang, Thanh Lam, Bryan Kian Hsiang Low, Patrick Jaillet
2020ICMLPrivate Outsourced Bayesian Optimization.Dmitrii Kharkovskii, Zhongxiang Dai, Bryan Kian Hsiang Low
2020ICMLCollaborative Machine Learning with Incentive-Aware Model Rewards.Rachael Hwee Ling Sim, Yehong Zhang, Mun Choon Chan, Bryan Kian Hsiang Low
2019ICMLBayesian Optimization Meets Bayesian Optimal Stopping.Zhongxiang Dai, Haibin Yu, Bryan Kian Hsiang Low, Patrick Jaillet
2019ICMLCollective Model Fusion for Multiple Black-Box Experts.Quang Minh Hoang, Trong Nghia Hoang, Bryan Kian Hsiang Low, Carl Kingsford
2019IJCAITowards Robust ResNet: A Small Step but a Giant Leap.Jingfeng Zhang, Bo Han, Laura Wynter, Bryan Kian Hsiang Low, Mohan S. Kankanhalli
2019IJCNNStochastic Variational Inference for Bayesian Sparse Gaussian Process Regression.Haibin Yu, Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet
2019UAIBayesian Optimization with Binary Auxiliary Information.Yehong Zhang, Zhongxiang Dai, Bryan Kian Hsiang Low
2017ICMLDistributed Batch Gaussian Process Optimization.Erik A. Daxberger, Bryan Kian Hsiang Low
2016ICMLA Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models.Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
2015ICMLA Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.Trong Nghia Hoang, Quang Minh Hoang, Bryan Kian Hsiang Low
2014ICMLNonmyopic \(\epsilon\)-Bayes-Optimal Active Learning of Gaussian Processes.Trong Nghia Hoang, Bryan Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli