Junze Yin - RankMe

33 papers A* 4A 5Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	High-Dimensional Robust Mean Estimation with Untrusted Batches. CoRR Maryam Aliakbarpour, Vladimir Braverman, Yuhan Liu, Junze Yin
2025	A	`conf`	A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time. UAI Yeqi Gao, Zhao Song, Weixin Wang, Junze Yin
2025	A	`conf`	An Iterative Algorithm for Rescaled Hyperbolic Functions Regression. AISTATS Yeqi Gao, Zhao Song, Junze Yin
2025	A*	`conf`	Binary Hypothesis Testing for Softmax Models and Leverage Score Models. ICML Yuzhou Gu, Zhao Song, Junze Yin
2025	—	`conf`	CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems. ACL (Findings) Haochen Zhang, Tianyi Zhang, Junze Yin, Oren Gal, Anshumali Shrivastava, Vladimir Braverman
2025	J	`jnl`	CoVE: Compressed Vocabulary Expansion Makes Better LLM-based Recommender Systems. CoRR Haochen Zhang, Tianyi Zhang, Junze Yin, Oren Gal, Anshumali Shrivastava, Vladimir Braverman
2025	A	`conf`	Dynamic Maintenance of Kernel Density Estimation Data Structure: From Practice to Theory. UAI Jiehao Liang, Zhao Song, Zhaozhuo Xu, Junze Yin, Danyang Zhuo
2025	A*	`conf`	Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation. ICLR Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang
2025	—	`conf`	Fast and Efficient Matching Algorithm with Deadline Instances. CPAL Zhao Song, Weixin Wang, Chenbo Yin, Junze Yin
2025	J	`jnl`	I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining. CoRR Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Tianyi Zhang, Anshumali Shrivastava, Lin Yang, Vladimir Braverman
2025	J	`jnl`	Support Basis: Fast Attention Beyond Bounded Entries. CoRR Maryam Aliakbarpour, Vladimir Braverman, Junze Yin, Haochen Zhang
2025	—	`conf`	The Expressibility of Polynomial based Attention Scheme. KDD (2) Zhao Song, Chongxi Wang, Guangyi Xu, Junze Yin
2024	J	`jnl`	Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers. CoRR Jiuxiang Gu, Yingyu Liang, Heshan Liu, Zhenmei Shi, Zhao Song, Junze Yin
2024	A	`conf`	Fast Dynamic Sampling for Determinantal Point Processes. AISTATS Zhao Song, Junze Yin, Lichen Zhang, Ruizhe Zhang
2024	J	`jnl`	How to Inverting the Leverage Score Distribution? CoRR Zhihang Li, Zhao Song, Weixin Wang, Junze Yin, Zheng Yu
2024	J	`jnl`	Inverting the Leverage Score Gradient: An Efficient Approximate Newton Method. CoRR Chenyang Li, Zhao Song, Zhaoxing Xu, Junze Yin
2024	A*	`conf`	Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time. ICLR Yuzhou Gu, Zhao Song, Junze Yin, Lichen Zhang
2024	A	`conf`	Solving Attention Kernel Regression Problem via Pre-conditioner. AISTATS Zhao Song, Junze Yin, Lichen Zhang
2023	J	`jnl`	A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time. CoRR Yeqi Gao, Zhao Song, Weixin Wang, Junze Yin
2023	A*	`conf`	A Nearly-Optimal Bound for Fast Regression with ℓ ICML Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang
2023	J	`jnl`	A Nearly-Optimal Bound for Fast Regression with 𝓁 CoRR Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang
2023	J	`jnl`	A Unified Scheme of ResNet and Softmax. CoRR Zhao Song, Weixin Wang, Junze Yin
2023	J	`jnl`	An Iterative Algorithm for Rescaled Hyperbolic Functions Regression. CoRR Yeqi Gao, Zhao Song, Junze Yin
2023	J	`jnl`	Efficient Alternating Minimization with Applications to Weighted Low Rank Approximation. CoRR Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang
2023	J	`jnl`	Faster Robust Tensor Power Method for Arbitrary Order. CoRR Yichuan Deng, Zhao Song, Junze Yin
2023	J	`jnl`	Federated Empirical Risk Minimization via Second-Order Method. CoRR Song Bian, Zhao Song, Junze Yin
2023	J	`jnl`	GradientCoin: A Peer-to-Peer Decentralized Large Language Models. CoRR Yeqi Gao, Zhao Song, Junze Yin
2023	J	`jnl`	Local Convergence of Approximate Newton Method for Two Layer Nonlinear Regression. CoRR Zhihang Li, Zhao Song, Zifan Wang, Junze Yin
2023	J	`jnl`	Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time. CoRR Yuzhou Gu, Zhao Song, Junze Yin, Lichen Zhang
2023	J	`jnl`	Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis. CoRR Xiang Chen, Zhao Song, Baocheng Sun, Junze Yin, Danyang Zhuo
2023	J	`jnl`	Revisiting Quantum Algorithms for Linear Regressions: Quadratic Speedups without Data-Dependent Parameters. CoRR Zhao Song, Junze Yin, Ruizhe Zhang
2023	J	`jnl`	Solving Attention Kernel Regression Problem via Pre-conditioner. CoRR Zhao Song, Junze Yin, Lichen Zhang
2023	J	`jnl`	The Expressibility of Polynomial based Attention Scheme. CoRR Zhao Song, Guangyi Xu, Junze Yin