Ziheng Wang

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Synchronized Video Storytelling: Generating Video Narrations with Structured Storyline	2024	Dingyi Yang Chunru Zhan Ziheng Wang Biao Wang Tiezheng Ge Bo Zheng Qin Jin
+	Bringing Telepresence to Every Desk	2023	Shengze Wang Ziheng Wang Ryan Schmelzle Liujie Zheng YoungJoong Kwon Soumyadip Sengupta Henry Fuchs
+	Edit As You Wish: Video Description Editing with Multi-grained Commands	2023	Linli Yao Yuanmeng Zhang Ziheng Wang Xinglin Hou Tiezheng Ge Yuning Jiang Qin Jin
+	Movie101: A New Movie Understanding Benchmark	2023	Zihao Yue Qi Zhang Anwen Hu Liang Zhang Ziheng Wang Jin Qin
+	Movie101: A New Movie Understanding Benchmark	2023	Zihao Yue Qi Zhang Anwen Hu Liang Zhang Ziheng Wang Jin Qin
+	Coulomb Blockade in Angstrom-scale latent ion track channels	2022	Yanbo Xie Deli Shi Wenhui Wang Ziheng Wang
+	Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge	2022	Aneeq Zia Kiran Bhattacharyya Xi Liu Ziheng Wang Max Berniker Satoshi Kondo Emanuele Colleoni Dimitrios Psychogyios Yueming Jin Jinfan Zhou
+	SparseDNN: Fast Sparse Deep Learning Inference on CPUs	2021	Ziheng Wang
+	Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge	2021	Aneeq Zia Kiran Bhattacharyya Xi Liu Ziheng Wang Satoshi Kondo Emanuele Colleoni Beatrice van Amsterdam Razeen Hussain Raabid Hussain Lena Maier‐Hein
+	SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference	2020	Ziheng Wang
+ PDF Chat	Accelerated CNN Training through Gradient Approximation	2019	Ziheng Wang Sree Harsha Nelaturu Saman Amarasinghe
+	Accelerated CNN Training Through Gradient Approximation	2019	Ziheng Wang Sree Harsha Nelaturu
+	A Hierarchical Probabilistic Model for Facial Feature Detection	2017	Yue Wu Ziheng Wang Qiang Ji
+ PDF Chat	A generative restricted Boltzmann machine based method for high-dimensional motion data modeling	2015	Siqi Nie Ziheng Wang Qiang Ji
+ PDF Chat	A Hierarchical Probabilistic Model for Facial Feature Detection	2014	Yue Wu Ziheng Wang Qiang Ji

Common Coauthors

Coauthor	Papers Together
Qiang Ji	3
Stefanie Speidel	2
Qin Jin	2
Emanuele Colleoni	2
Anwen Hu	2
Qi Zhang	2
Tiezheng Ge	2
Jin Qin	2
Kiran Bhattacharyya	2
Aneeq Zia	2
Danail Stoyanov	2
Anthony Jarc	2
Sree Harsha Nelaturu	2
Liang Zhang	2
Yue Wu	2
Zihao Yue	2
Linli Yao	1
YoungJoong Kwon	1
Dingyi Yang	1
Saman Amarasinghe	1
Evangelos B. Mazomenos	1
Raabid Hussain	1
Yueming Jin	1
Shengze Wang	1
Deli Shi	1
Dimitrios Psychogyios	1
Satoshi Kondo	1
Satoshi Kondo	1
Yuning Jiang	1
Jinfan Zhou	1
Yuanmeng Zhang	1
Siqi Nie	1
Xinglin Hou	1
Biao Wang	1
Bo Zheng	1
Chunru Zhan	1
Wenhui Wang	1
Razeen Hussain	1
Henry Fuchs	1
Soumyadip Sengupta	1
Max Berniker	1
Xi Liu	1
Lena Maier‐Hein	1
Ryan Schmelzle	1
Beatrice van Amsterdam	1
Klaus H. Maier‐Hein	1
Xi Liu	1
Liujie Zheng	1
Yanbo Xie	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Faster CNNs with Direct Sparse Convolutions and Guided Pruning	2016	Jongsoo Park Sheng Li Wei Wen Ping Tang Hai Li Yiran Chen Pradeep Dubey	4
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	3
+	CondenseNet: An Efficient DenseNet using Learned Group Convolutions	2017	Gao Huang Shichen Liu Laurens van der Maaten Kilian Q. Weinberger	3
+	Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs	2018	Xuhao Chen	3
+ PDF Chat	SBNet: Sparse Blocks Network for Fast Inference	2018	Mengye Ren Andrei Pokrovsky Bin Yang Raquel Urtasun	2
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks	2018	Jonathan Frankle Michael Carbin	2
+ PDF Chat	Design Principles for Sparse Matrix Multiplication on the GPU	2018	Carl Yang Aydın Buluç John D. Owens	2
+ PDF Chat	Balanced Sparsity for Efficient DNN Inference on GPU	2019	Zhuliang Yao Shi-Jie Cao Wencong Xiao Chen Zhang Lanshun Nie	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	The State of Sparsity in Deep Neural Networks	2019	Trevor Gale Erich Elsen Sara Hooker	2
+ PDF Chat	Facial Feature Tracking Under Varying Facial Expressions and Face Poses Based on Restricted Boltzmann Machines	2013	Yue Wu Zuoguan Wang Qiang Ji	2
+	Escort: Efficient Sparse Convolutional Neural Networks on GPUs	2018	Xuhao Chen	2
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+	Fast Sparse ConvNets	2019	Erich Elsen Marat Dukhan Trevor Gale Karen Simonyan	2
+	Direct Feedback Alignment Provides Learning in Deep Neural Networks	2016	Arild Nøkland	2
+	Rigging the Lottery: Making All Tickets Winners	2019	Utku Evci Trevor Gale Jacob Menick Pablo Samuel Castro Erich Elsen	2
+ PDF Chat	Training Simplification and Model Simplification for Deep Learning : A Minimal Effort Back Propagation Method	2018	Xu Sun Xuancheng Ren Shuming Ma Bingzhen Wei Wei Li Jingjing Xu Houfeng Wang Yi Zhang	2
+	Efficient Convolutional Neural Network Training with Direct Feedback Alignment	2019	Donghyeon Han Hoi‐Jun Yoo	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
+	Biologically-plausible learning algorithms can scale to large datasets	2018	Will Xiao Honglin Chen Qianli Liao Tomaso Poggio	2
+	TVM: An Automated End-to-End Optimizing Compiler for Deep Learning	2018	Tianqi Chen Thierry Moreau Ziheng Jiang Lianmin Zheng Eddie Yan Meghan Cowan Haichen Shen Leyuan Wang Yuwei Hu Luís Ceze	2
+ PDF Chat	Structured Pruning of Large Language Models	2020	Ziheng Wang Jeremy Wohlwend Tao Leí	2
+	Learning Sparse Neural Networks through $L_0$ Regularization	2017	Christos Louizos Max Welling Diederik P. Kingma	2
+	Minimal Effort Back Propagation for Convolutional Neural Networks	2017	Bingzhen Wei Xu Sun Xuancheng Ren Jingjing Xu	2
+ PDF Chat	ImageNet Training in Minutes	2018	Yang You Zhao Zhang Cho‐Jui Hsieh James Demmel Kurt Keutzer	2
+	TVM: End-to-End Optimization Stack for Deep Learning	2018	Tianqi Chen Thierry Moreau Ziheng Jiang Haichen Shen Eddie Yan Leyuan Wang Yuwei Hu Luís Ceze Carlos Guestrin Arvind Krishnamurthy	2
+	Sparse GPU Kernels for Deep Learning	2020	Trevor Gale Matei Zaharia Cliff Young Erich Elsen	2
+	A Closer Look at Structured Pruning for Neural Network Compression	2018	Elliot J. Crowley Jack Turner Amos Storkey Michael O’Boyle	2
+	Extremely Large Minibatch SGD: Training ResNet-50 on ImageNet in 15 Minutes	2017	Takuya Akiba Shuji Suzuki Keisuke Fukuda	1
+ PDF Chat	Fast Algorithms for Convolutional Neural Networks	2016	Andrew Lavin Scott Gray	1
+	Gradient Sparsification for Communication-Efficient Distributed Optimization	2017	Jianqiao Wangni Jialei Wang Liu Ji Tong Zhang	1
+	Mixed Precision Training	2017	Paulius Micikevicius Sharan Narang Jonah Alben Gregory Diamos Erich Elsen David García Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh	1
+ PDF Chat	Emotional Expression Classification Using Time-Series Kernels	2013	András Lőrincz László A. Jeni Zoltán Szabó Jeffrey F. Cohn Takeo Kanade	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1
+	Learning Intrinsic Sparse Structures within Long Short-Term Memory	2017	Wei Wen Yuxiong He Samyam Rajbhandari Minjia Zhang Wenhan Wang Fang Liu Bin Hu Yiran Chen Hai Li	1
+	Submanifold Sparse Convolutional Networks	2017	Benjamin Graham Laurens van der Maaten	1
+	Gaussian Error Linear Units (GELUs)	2016	Dan Hendrycks Kevin Gimpel	1
+	The Kinetics Human Action Video Dataset	2017	Andrew Zisserman João Carreira Karen Simonyan Will Kay Brian Zhang Chloe Hillier Sudheendra Vijayanarasimhan Fabio Viola T.C. Green Trevor Back	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+ PDF Chat	Coherent Multi-sentence Video Description with Variable Level of Detail	2014	Anna Rohrbach Marcus Rohrbach Wei Qiu Annemarie Friedrich Manfred Pinkal Bernt Schiele	1
+	Highly Scalable Deep Learning Training System with Mixed-Precision: Training ImageNet in Four Minutes	2018	Xianyan Jia Shutao Song Wei He Yangzihao Wang Haidong Rong Feihu Zhou Liqiang Xie Zhenyu Guo Yuanzhou Yang Li-Wei Yu	1
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	1
+ PDF Chat	DeepPhase: Surgical Phase Recognition in CATARACTS Videos	2018	Odysseas Zisimopoulos Evangello Flouty Imanol Luengo Πέτρος Γιαταγάνας Jean Nehme Andre Chow Danail Stoyanov	1
+ PDF Chat	Move Forward and Tell: A Progressive Generator of Video Descriptions	2018	Yilei Xiong Bo Dai Dahua Lin	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	Structurally Sparsified Backward Propagation for Faster Long Short-Term Memory Training	2018	Maohua Zhu Jason Clemons Jeff Pool Minsoo Rhu Stephen W. Keckler Yuan Xie	1
+ PDF Chat	Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training	2017	Rakshith Shetty Marcus Rohrbach Lisa Anne Hendricks Mario Fritz Bernt Schiele	1
+ PDF Chat	A dataset for Movie Description	2015	Anna Rohrbach Marcus Rohrbach Niket Tandon Bernt Schiele	1