Weizhong Zhang

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All published works
Action Title Year Authors
+ PDF Chat TAGCOS: Task-agnostic Gradient Clustered Coreset Selection for Instruction Tuning Data 2024 Jipeng Zhang
Yingyi Qin
Renjie Pi
Weizhong Zhang
Rui Pan
Tong Zhang
+ PDF Chat Optimization-based Structural Pruning for Large Language Models without Back-Propagation 2024 Yuan Gao
Zujing Liu
Weizhong Zhang
Bo Du
Gui-Song Xia
+ PDF Chat High Fidelity Scene Text Synthesis 2024 Y. N. Wang
Weizhong Zhang
Jianwei Zheng
Jin Cheng
+ PDF Chat ELiTe: Efficient Image-to-LiDAR Knowledge Transfer for Semantic Segmentation 2024 Zhibo Zhang
Ximing J. Yang
Weizhong Zhang
Cheng Jin
+ PDF Chat Robust Fine-tuning for Pre-trained 3D Point Cloud Models 2024 Zhibo Zhang
Ximing J. Yang
Weizhong Zhang
Cheng Jin
+ The impact of reading metacognitive strategies on mathematics learning efficiency and performance: An analysis using PISA 2018 data in China 2024 Weizhong Zhang
Rong Lian
+ PDF Chat Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection 2024 Kaiyi Zhang
Yang Chen
Ximing J. Yang
Weizhong Zhang
Cheng Jin
+ PDF Chat PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering 2024 Y. N. Wang
Weizhong Zhang
Jianwei Zheng
Jin Cheng
+ PDF Chat Out-of-Distribution Detection using Neural Activation Prior 2024 Weilin Wan
Weizhong Zhang
Cheng Jin
+ Model Agnostic Sample Reweighting for Out-of-Distribution Learning 2023 Xiaofang Zhou
Yong Lin
Renjie Pi
Weizhong Zhang
Renzhe Xu
Peng Cui
Tong Zhang
+ Probabilistic Bilevel Coreset Selection 2023 Xiaofang Zhou
Renjie Pi
Weizhong Zhang
Yong Lin
Tong Zhang
+ Test-Time Compensated Representation Learning for Extreme Traffic Forecasting 2023 Zhiwei Zhang
Weizhong Zhang
Yao‐Wei Huang
Kani Chen
+ Spurious Feature Diversification Improves Out-of-distribution Generalization 2023 Lin Yong
Tan Lu
Yifan Hao
Honam Wong
Hanze Dong
Weizhong Zhang
Yujiu Yang
Tong Zhang
+ High-fidelity Person-centric Subject-to-Image Synthesis 2023 Y. N. Wang
Weizhong Zhang
Jianwei Zheng
Jin Cheng
+ Enhancing Object Coherence in Layout-to-Image Synthesis 2023 Y. N. Wang
Weizhong Zhang
Jianwei Zheng
Jin Cheng
+ Point Cloud Part Editing: Segmentation, Generation, Assembly, and Selection 2023 Kaiyi Zhang
Yang Chen
Ximing J. Yang
Weizhong Zhang
Cheng Jin
+ PDF Chat Convex Formulation of Overparameterized Deep Neural Networks 2022 Cong Fang
Yihong Gu
Weizhong Zhang
Tong Zhang
+ Finding Dynamics Preserving Adversarial Winning Tickets 2022 Xupeng Shi
Pengfei Zheng
Aidong Adam Ding
Yuan Gao
Weizhong Zhang
+ Fast Adversarial Training with Adaptive Step Size 2022 Zhichao Huang
Yanbo Fan
Chen Liu
Weizhong Zhang
Yong Zhang
Mathieu Salzmann
Sabine SĂŒsstrunk
Jue Wang
+ Approximation algorithms for Steiner Tree Augmentation Problems 2022 R. Ravi
Weizhong Zhang
Michael Zlatin
+ Robust Federated Learning against both Data Heterogeneity and Poisoning Attack via Aggregation Optimization 2022 Yueqi Xie
Weizhong Zhang
Renjie Pi
Fangzhao Wu
Qifeng Chen
Xing Xie
Sunghun Kim
+ PDF Chat Effective Sparsification of Neural Networks with Global Sparsity Constraint 2021 Xiao Zhou
Weizhong Zhang
Hang Xu
Tong Zhang
+ Effective Sparsification of Neural Networks with Global Sparsity Constraint 2021 Xiao Zhou
Weizhong Zhang
Hang Xu
Tong Zhang
+ A Structure Feature Algorithm for Multi-modal Forearm Registration 2021 Jiaxin Li
Yan Ding
Weizhong Zhang
Yifan Zhao
Lingxi Guo
Zhe Yang
+ Safe Screening for Sparse Conditional Random Fields 2021 Weizhong Zhang
Shuang Qiu
+ Parsimonious Quantile Regression of Financial Asset Tail Dynamics via Sequential Learning 2020 Yan Xing
Weizhong Zhang
Lin Ma
Wei Liu
Qi Wu
+ Convex Formulation of Overparameterized Deep Neural Networks 2019 Cong Fang
Yihong Gu
Weizhong Zhang
Tong Zhang
+ Hierarchical Attention-Based Recurrent Highway Networks for Time Series Prediction 2018 Yunzhe Tao
Lin Ma
Weizhong Zhang
Jian Liu
Wei Liu
Qiang Du
+ Active contour model coupling with backward diffusion for medical image segmentation 2013 Guodong Wang
Zhenkuan Pan
Weizhong Zhang
Qian Dong
+ DMOC approach to solve Goddard rocket problem in comparison with RPM 2013 Jiawei Zhang
Weizhong Zhang
Jiayuan Shan
+ A new DMOC-based approach to solve Goddard rocket problem 2012 Jiawei Zhang
Weizhong Zhang
Jiayuan Shan
+ A tutorial for applying DMOC to solve optimization control problems 2010 Weizhong Zhang
Tamer Inanc
+ DMOC approach of real-time trajectory generation for mechanical systems 2008 Weizhong Zhang
Tamer Inanc
Jerrold E. Marsden
+ Mathematical Variation Teaching from the Aspect of the classification of Knowledge by Cognitive Psychology 2007 Weizhong Zhang
+ Comparison of “Similarity” in Geometry Textbook between China and America 2005 Weizhong Zhang
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
3
+ On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming 2005 Andreas WĂ€chter
Lorenz T. Biegler
3
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ Rethinking the Value of Network Pruning 2018 Zhuang Liu
Mingjie Sun
Tinghui Zhou
Gao Huang
Trevor Darrell
2
+ PDF Chat Discrete mechanics and variational integrators 2001 Jerrold E. Marsden
Matthew West
2
+ Sparse Networks from Scratch: Faster Training without Losing Performance 2019 Tim Dettmers
Luke Zettlemoyer
2
+ PDF Chat Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science 2018 Decebal Constantin Mocanu
Elena Mocanu
Peter Stone
Phuong H. Nguyen
Madeleine Gibescu
Antonio Liotta
2
+ PDF Chat Channel Pruning for Accelerating Very Deep Neural Networks 2017 Yihui He
Xiangyu Zhang
Jian Sun
2
+ Picking Winning Tickets Before Training by Preserving Gradient Flow 2020 Chaoqi Wang
Guodong Zhang
Roger Grosse
2
+ PDF Chat What’s Hidden in a Randomly Weighted Neural Network? 2020 Vivek Ramanujan
Mitchell Wortsman
Aniruddha Kembhavi
Ali Farhadi
Mohammad Rastegari
2
+ Numerical Solution of Optimal Control Problems by Direct Collocation 1993 Oskar von Stryk
2
+ Approximation methods for optimal control synthesis 1971 Gregory Hicks
W. Harmon Ray
2
+ Dynamic Network Surgery for Efficient DNNs 2016 Yiwen Guo
Anbang Yao
Yurong Chen
2
+ Pruning Filters for Efficient ConvNets 2016 Hao Li
Asim Kadav
Igor Đurđanović
Hanan Samet
Hans Peter Graf
2
+ Deep Rewiring: Training very sparse deep networks 2017 Guillaume Bellec
David Kappel
Wolfgang Maass
Robert Legenstein
2
+ PDF Chat Training Sparse Neural Networks 2017 Suraj Srinivas
Akshayvarun Subramanya
R. Venkatesh Babu
2
+ The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables 2016 Chris J. Maddison
Andriy Mnih
Yee Whye Teh
2
+ SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY 2018 Namhoon Lee
Thalaiyasingam Ajanthan
Philip H. S. Torr
2
+ PDF Chat ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression 2017 Jian-Hao Luo
Jianxin Wu
Weiyao Lin
2
+ Discovering Neural Wirings 2019 Mitchell Wortsman
Ali Farhadi
Mohammad Rastegari
2
+ Soft Threshold Weight Reparameterization for Learnable Sparsity 2020 Aditya Kusupati
Vivek Ramanujan
Raghav Somani
Mitchell Wortsman
Prateek Jain
Sham M. Kakade
Ali Farhadi
2
+ Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection 2020 Mao Ye
Chengyue Gong
Lizhen Nie
Denny Zhou
Adam R. Klivans
Qiang Liu
2
+ SNAS: Stochastic Neural Architecture Search 2018 Sirui Xie
Hehui Zheng
Chunxiao Liu
Liang Lin
2
+ Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation 2013 Yoshua Bengio
Nicholas LĂ©onard
Aaron Courville
2
+ Comparing Rewinding and Fine-tuning in Neural Network Pruning 2020 Alex Renda
Jonathan Frankle
Michael Carbin
2
+ PDF Chat Discrete variational Hamiltonian mechanics 2006 Sanjay Lall
Matthew West
2
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
2
+ Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask 2019 Hattie Zhou
Janice Lan
Rosanne Liu
Jason Yosinski
2
+ Learning Sparse Neural Networks through $L_0$ Regularization 2017 Christos Louizos
Max Welling
Diederik P. Kingma
2
+ The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks. 2019 Jonathan Frankle
Michael Carbin
2
+ PDF Chat Structured Pruning of Large Language Models 2020 Ziheng Wang
Jeremy Wohlwend
Tao LeĂ­
2
+ Categorical Reparameterization with Gumbel-Softmax 2016 Eric Jang
Shixiang Gu
Ben Poole
2
+ MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 2017 Andrew Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
Marco Andreetto
Hartwig Adam
2
+ To prune, or not to prune: exploring the efficacy of pruning for model compression 2017 Michael Zhu
Suyog Gupta
2
+ The State of Sparsity in Deep Neural Networks 2019 Trevor Gale
Erich Elsen
Sara Hooker
2
+ Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding 2015 Song Han
Huizi Mao
William J. Dally
1
+ A tutorial for applying DMOC to solve optimization control problems 2010 Weizhong Zhang
Tamer Inanc
1
+ PDF Chat ImageNet Large Scale Visual Recognition Challenge 2015 Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
1
+ PDF Chat Active contours without edges 2001 Tony F. Chan
Luminita A. Vese
1
+ PDF Chat Learning to compare image patches via convolutional neural networks 2015 Sergey Zagoruyko
Nikos Komodakis
1
+ PDF Chat Efficient Learning of Sparse Conditional Random Fields for Supervised Sequence Labeling 2010 Nataliya Sokolovska
Thomas Lavergne
Olivier Cappé
François Yvon
1
+ Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling 2014 Jun‐Young Chung
Çaǧlar GĂŒlçehre
Kyunghyun Cho
Yoshua Bengio
1
+ PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors 2016 Vassileios Balntas
Edward Johns
Lilian Tang
Krystian Mikolajczyk
1
+ Simultaneous safe screening of features and samples in doubly sparse modeling 2016 Atsushi Shibagaki
Masayuki Karasuyama
Kohei Hatano
Ichiro Takeuchi
1
+ A Safe Screening Rule for Sparse Logistic Regression 2014 Jie Wang
Jiayu Zhou
Jun Liu
Peter Wonka
Jieping Ye
1
+ PDF Chat Beyond short snippets: Deep networks for video classification 2015 Joe Yue-Hei Ng
Matthew Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
Rajat Monga
George Toderici
1
+ A Critical Review of Recurrent Neural Networks for Sequence Learning 2015 Zachary C. Lipton
John Berkowitz
Charles Elkan
1
+ Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning 2016 Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
1
+ Primal-Dual Interior-Point Methods 1997 Stephen J. Wright
1
+ Lasso Screening Rules via Dual Polytope Projection 2013 Jie Wang
Jiayu Zhou
Peter Wonka
Jieping Ye
1