Peiyuan Zhang

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All published works
Action Title Year Authors
+ PDF Chat PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection 2025 Peiyuan Zhang
Junwei Luo
Xue Yang
Yi Yu
Qingyun Li
Yue Zhou
Xiaosong Jia
Xudong LĂŒ
Jingdong Chen
Xiang Li
+ PDF Chat Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime 2024 Peiyuan Zhang
Amin Karbasi
+ PDF Chat Temporal Reasoning Transfer from Text to Video 2024 Lei Li
Yuanxin Liu
Linli Yao
Peiyuan Zhang
Chenxin An
Lean Wang
Xu Sun
Lingpeng Kong
Qi Liu
+ PDF Chat LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models 2024 Kaichen Zhang
Bo Li
Peiyuan Zhang
Fanyi Pu
Joshua Adrian Cahyono
Kairui Hu
Shuai Liu
Yuanhan Zhang
Jingkang Yang
Chunyuan Li
+ PDF Chat Long Context Transfer from Language to Vision 2024 Peiyuan Zhang
Kaichen Zhang
Bo Li
Guangtao Zeng
Jingkang Yang
Yuanhan Zhang
Ziyue Wang
Haoran Tan
Chunyuan Li
Ziwei Liu
+ PDF Chat Counting Stars is Constant-Degree Optimal For Detecting Any Planted Subgraph 2024 Xifan Yu
Ilias Zadik
Peiyuan Zhang
+ TinyLlama: An Open-Source Small Language Model 2024 Peiyuan Zhang
Guangtao Zeng
Tianduo Wang
Wei Lu
+ PDF Chat Sion’s Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm 2023 Peiyuan Zhang
Jingzhao Zhang
Suvrit Sra
+ temporal discounting predicts procrastination in a real-world task 2023 Peiyuan Zhang
Wei Ji
+ Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization 2023 Peiyuan Zhang
Jiaye Teng
Jingzhao Zhang
+ One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning 2023 Guangtao Zeng
Peiyuan Zhang
Wei LĂŒ
+ Online Algorithms and Lower Bounds for Average-Case Matrix Discrepancy 2023 Dmitriy Kunisky
Peiyuan Zhang
+ One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning 2023 Guangtao Zeng
Peiyuan Zhang
Wei LĂŒ
+ OtterHD: A High-Resolution Multi-modality Model 2023 Bo Li
Peiyuan Zhang
Jingkang Yang
Yuanhan Zhang
Fanyi Pu
Ziwei Liu
+ Sion's Minimax Theorem in Geodesic Metric Spaces and a Riemannian Extragradient Algorithm 2022 Peiyuan Zhang
Jingzhao Zhang
Suvrit Sra
+ Better Few-Shot Relation Extraction with Label Prompt Dropout 2022 Peiyuan Zhang
Wei LĂŒ
+ PDF Chat Better Few-Shot Relation Extraction with Label Prompt Dropout 2022 Peiyuan Zhang
Wei LĂŒ
+ Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization 2021 Peiyuan Zhang
Antonio Orvieto
Hadi Daneshmand
Thomas Hofmann
Roy S. Smith
+ Rethinking the Variational Interpretation of Nesterov's Accelerated Method 2021 Peiyuan Zhang
Antonio Orvieto
Hadi Daneshmand
+ Mixing of Stochastic Accelerated Gradient Descent 2019 Peiyuan Zhang
Hadi Daneshmand
Thomas Hofmann
+ Some New Variants of Chebyshev-Halley Methods Free from Second Derivative 2010 Yaotang Li
Peiyuan Zhang
Yanyan Li
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat On dissipative symplectic integration with applications to gradient-based optimization 2021 Guilherme França
Michael I. Jordan
René Vidal
2
+ Generalized Momentum-Based Methods: A Hamiltonian Perspective 2019 Jelena Diakonikolas
Michael I. Jordan
2
+ PDF Chat A variational perspective on accelerated methods in optimization 2016 Andre Wibisono
Ashia C. Wilson
Michael I. Jordan
2
+ A differential equation for modeling Nesterov's accelerated gradient method: theory and insights 2016 Weijie Su
Stephen Boyd
Emmanuel J. CandĂšs
2
+ On the Curved Geometry of Accelerated Optimization 2019 Aaron Defazio
2
+ From Proximal Point Method to Nesterov's Acceleration. 2020 Kwangjun Ahn
2
+ Attention Is All You Need 2017 Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ɓukasz Kaiser
Illia Polosukhin
2
+ A Continuous-time Perspective for Modeling Acceleration in Riemannian Optimization. 2020 Foivos Alimisis
Antonio Orvieto
Gary BĂ©cigneul
Aurélien Lucchi
2
+ A Course in Metric Geometry 2001 Dmitri Burago
Yuri Burago
S. V. Ivanov
1
+ Some methods of speeding up the convergence of iteration methods 1964 B. T. Polyak
1
+ PDF Chat Non-Negative Principal Component Analysis: Message Passing Algorithms and Sharp Asymptotics 2015 Andrea Montanari
Émile Richard
1
+ PDF Chat On the long time behavior of second order differential equations with asymptotically small dissipation 2009 Alexandre Cabot
Hans Engler
SĂ©bastien Gadat
1
+ The Jarratt method in Banach space setting 1994 Ioannis K. Argyros
Dong Chen
Q. Qian
1
+ PDF Chat The proximal point algorithm in metric spaces 2012 Miroslav Bačák
1
+ Solution of equations in Euclidean and Banach spaces 1973 Alexander Ostrowski
1
+ On general minimax theorems 1958 Maurice Sion
1
+ Iterative Methods for the Solution of Equations. 1967 David M. Young
J. F. Traub
1
+ PDF Chat Conformal Hamiltonian systems 2001 Robert I. McLachlan
Matthew Perlmutter
1
+ Numerical analysis: an introduction 1998 Walter Gautschi
1
+ PDF Chat Robust Solutions to Least-Squares Problems with Uncertain Data 1997 Laurent El Ghaoui
Hervé Lebret
1
+ Products of Random Matrices with Applications to Schrödinger Operators 1985 Philippe Bougerol
Jean Lacroix
1
+ On the Minimizing Property of a Second Order Dissipative System in Hilbert Spaces 2000 Felipe Álvarez
1
+ On linear convergence of iterative methods for the variational inequality problem 1995 Paul Tseng
1
+ A Treatise on the Theory of Bessel Functions. 1923 Matthew Porter
G. N. Watson
1
+ PDF Chat Prox-Method with Rate of Convergence <i>O</i>(1/<i>t</i>) for Variational Inequalities with Lipschitz Continuous Monotone Operators and Smooth Convex-Concave Saddle Point Problems 2004 Arkadi Nemirovski
1
+ Minimax problems on Grassmann manifolds. Sums of eigenvalues 1984 Rafael Riddell
1
+ First-order methods of smooth convex optimization with inexact oracle 2013 Olivier Devolder
François Glineur
Yurii Nesterov
1
+ PDF Chat Adaptive Restart for Accelerated Gradient Schemes 2013 Brendan O’Donoghue
Emmanuel J. CandĂšs
1
+ On damped second-order gradient systems 2015 Pascal BĂ©gout
JĂ©rĂŽme Bolte
Mohamed Ali Jendoubi
1
+ PDF Chat Elementary proof for Sion's minimax theorem 1988 Hidetoshi Komiya
1
+ On the Hamiltonian interpolation of near-to-the identity symplectic mappings with application to symplectic integration algorithms 1994 Giancarlo Benettin
Antonio Giorgilli
1
+ PDF Chat Contact Hamiltonian mechanics 2016 Alessandro Bravetti
Hans Cruz
Diego Tapias
1
+ Some iterative methods free from second derivatives for nonlinear equations 2007 Muhammad Aslam Noor
1
+ Riemannian Manifolds: An Introduction to Curvature 1997 John M. Lee
1
+ Relaxation Newton Iteration for A Class of Algebraic Nonlinear Systems 2009 Shu‐Lin Wu
Baochang Shi
Chengming Huang
1
+ A New Two-step Method for Solving Nonlinear Equations 2009 Jishe Feng
1
+ A Lyapunov Analysis of Momentum Methods in Optimization 2016 Ashia C. Wilson
Benjamin Recht
Michael I. Jordan
1
+ Overcoming catastrophic forgetting in neural networks 2017 James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐BarwiƄska
1
+ Prototypical Networks for Few-shot Learning 2017 Jake Snell
Kevin Swersky
Richard S. Zemel
1
+ On Symplectic Optimization 2018 Michael Betancourt
Michael I. Jordan
Ashia C. Wilson
1
+ The Regularization Effects of Anisotropic Noise in Stochastic Gradient Descent 2018 Zhanxing Zhu
Jingfeng Wu
Bing Yu
Lei Wu
Jinwen Ma
1
+ Escaping Saddles with Stochastic Gradients 2018 Hadi Daneshmand
Jonas Köhler
Aurélien Lucchi
Thomas Hofmann
1
+ The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks 2018 Jonathan Frankle
Michael Carbin
1
+ PDF Chat Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization 2018 Shashi Narayan
Shay B. Cohen
Mirella Lapata
1
+ SNIP: Single-shot Network Pruning based on Connection Sensitivity 2018 Namhoon Lee
Thalaiyasingam Ajanthan
Philip H. S. Torr
1
+ Understanding the Acceleration Phenomenon via High-Resolution Differential Equations 2018 Bin Shi
Simon S. Du
Michael I. Jordan
Weijie Su
1
+ GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding 2018 Alex Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel Bowman
1
+ Acceleration via Symplectic Discretization of High-Resolution Differential Equations 2019 Bin Shi
Simon S. Du
Weijie Su
Michael I. Jordan
1
+ A Dynamical Systems Perspective on Nesterov Acceleration 2019 Michael Muehlebach
Michael I. Jordan
1
+ The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming 1967 L.M. Bregman
1