Yinglun Zhu - RankMe

40 papers A* 11A 3Journal 25Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MixTraining: A Better Trade-Off Between Compute and Performance. Trans. Mach. Learn. Res. Zexin Li, Jiancheng Zhang, Yufei Li, Yinglun Zhu, Cong Liu
2026	J	`jnl`	Online Finetuning Decision Transformers with Pure RL Gradients. CoRR Junkai Luo, Yinglun Zhu
2026	J	`jnl`	Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data. Trans. Mach. Learn. Res. Jiancheng Zhang, Yinglun Zhu
2025	A*	`conf`	Chain-of-region: Visual Language Models Need Details for Diagram Analysis. ICLR Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, Haifeng Chen
2025	A*	`conf`	Efficient Sparse PCA via Block-Diagonalization. ICLR Alberto Del Pia, Dekun Zhou, Yinglun Zhu
2025	J	`jnl`	Interactive Machine Learning: From Theory to Scale. CoRR Yinglun Zhu
2025	J	`jnl`	LeMix: Unified Scheduling for LLM Training and Inference on Multi-GPU Systems. CoRR Yufei Li, Zexin Li, Yinglun Zhu, Cong Liu
2025	A	`conf`	Lemix: Unified Scheduling for Llm Training and Inference on Multi-Gpu Systems. RTSS Yufei Li, Zexin Li, Yinglun Zhu, Cong Liu
2025	J	`jnl`	Mixtraining: A Better Trade-Off Between Compute and Performance. CoRR Zexin Li, Jiancheng Zhang, Yinglun Zhu, Cong Liu
2025	J	`jnl`	Strategic Scaling of Test-Time Compute: A Bandit Learning Approach. CoRR Bowen Zuo, Yinglun Zhu
2025	J	`jnl`	Test-Time Matching: Unlocking Compositional Reasoning in Multimodal Models. CoRR Yinglun Zhu, Jiancheng Zhang, Fuzhi Tang
2025	J	`jnl`	Towards Multimodal Active Learning: Efficient Learning with Limited Paired Data. CoRR Jiancheng Zhang, Yinglun Zhu
2024	—	`conf`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. ACL (Findings) Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	J	`jnl`	An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models. CoRR Gantavya Bhatt, Yifang Chen, Arnav Mohanty Das, Jifan Zhang, Sang T. Truong, Stephen Mussmann, Yinglun Zhu, Jeffrey A. Bilmes, Simon S. Du, Kevin Jamieson, Jordan T. Ash, Robert D. Nowak
2024	A*	`conf`	Efficient Sequential Decision Making with Large Language Models. EMNLP Dingyang Chen, Qi Zhang, Yinglun Zhu
2024	J	`jnl`	Efficient Sequential Decision Making with Large Language Models. CoRR Dingyang Chen, Qi Zhang, Yinglun Zhu
2024	J	`jnl`	Efficient Sparse PCA via Block-Diagonalization. CoRR Alberto Del Pia, Dekun Zhou, Yinglun Zhu
2024	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning. J. Data-centric Mach. Learn. Res. Jifan Zhang, Yifang Chen, Gregory Canal, Arnav Mohanty Das, Gantavya Bhatt, Stephen Mussmann, Yinglun Zhu, Jeff A. Bilmes, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2023	A*	`conf`	Infinite Action Contextual Bandits with Reusable Data Exhaust. ICML Mark Rucker, Yinglun Zhu, Paul Mineiro
2023	J	`jnl`	Infinite Action Contextual Bandits with Reusable Data Exhaust. CoRR Mark Rucker, Yinglun Zhu, Paul Mineiro
2023	J	`jnl`	LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. CoRR Jifan Zhang, Yifang Chen, Gregory Canal, Stephen Mussmann, Yinglun Zhu, Simon Shaolei Du, Kevin Jamieson, Robert D. Nowak
2022	A*	`conf`	Active Learning with Neural Networks: Insights from Nonparametric Statistics. NeurIPS Yinglun Zhu, Robert Nowak
2022	J	`jnl`	Active Learning with Neural Networks: Insights from Nonparametric Statistics. CoRR Yinglun Zhu, Robert D. Nowak
2022	A*	`conf`	Contextual Bandits with Large Action Spaces: Made Practical. ICML Yinglun Zhu, Dylan J. Foster, John Langford, Paul Mineiro
2022	J	`jnl`	Contextual Bandits with Large Action Spaces: Made Practical. CoRR Yinglun Zhu, Dylan J. Foster, John Langford, Paul Mineiro
2022	A*	`conf`	Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces. ICML Yinglun Zhu, Paul Mineiro
2022	J	`jnl`	Contextual Bandits with Smooth Regret: Efficient Learning in Continuous Action Spaces. CoRR Yinglun Zhu, Paul Mineiro
2022	A*	`conf`	Efficient Active Learning with Abstention. NeurIPS Yinglun Zhu, Robert Nowak
2022	J	`jnl`	Efficient Active Learning with Abstention. CoRR Yinglun Zhu, Robert D. Nowak
2022	A	`conf`	Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. AISTATS Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
2022	A	`conf`	Pareto Optimal Model Selection in Linear Bandits. AISTATS Yinglun Zhu, Robert D. Nowak
2021	J	`jnl`	Near Instance Optimal Model Selection for Pure Exploration Linear Bandits. CoRR Yinglun Zhu, Julian Katz-Samuels, Robert D. Nowak
2021	J	`jnl`	Pareto Optimal Model Selection in Linear Bandits. CoRR Yinglun Zhu, Robert D. Nowak
2021	A*	`conf`	Pure Exploration in Kernel and Neural Bandits. NeurIPS Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
2021	J	`jnl`	Pure Exploration in Kernel and Neural Bandits. CoRR Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak
2020	A*	`conf`	On Regret with Multiple Best Arms. NeurIPS Yinglun Zhu, Robert Nowak
2020	J	`jnl`	On Regret with Multiple Best Arms. CoRR Yinglun Zhu, Robert D. Nowak
2020	A*	`conf`	Robust Outlier Arm Identification. ICML Yinglun Zhu, Sumeet Katariya, Robert D. Nowak
2020	J	`jnl`	Robust Outlier Arm Identification. CoRR Yinglun Zhu, Sumeet Katariya, Robert Nowak
2017	J	`jnl`	ReabsNet: Detecting and Revising Adversarial Examples. CoRR Jiefeng Chen, Zihang Meng, Changtian Sun, Wei Tang, Yinglun Zhu