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2020 – today
- 2021
[c26]Shuchun Zhang, Yun Zhang, Yongbin Chou, Ziheng Wang, Yifu Shi, Zhenyu Sun:
Analysis of the Multispectral and SAR Image. ICCCS 2021: 312-315- [i11]Ziheng Wang:
SparseDNN: Fast Sparse Deep Learning Inference on CPUs. CoRR abs/2101.07948 (2021) - [i10]Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Satoshi Kondo, Emanuele Colleoni, Beatrice van Amsterdam, Razeen Hussain, Raabid Hussain, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony M. Jarc:
Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge. CoRR abs/2102.13644 (2021) - [i9]Qiaoyi Liu, Dillon Huff, Jeff Setter, Maxwell Strange, Kathleen Feng, Kavya Sreedhar, Ziheng Wang, Keyi Zhang, Mark Horowitz, Priyanka Raina, Fredrik Kjolstad:
Compiling Halide Programs to Push-Memory Accelerators. CoRR abs/2105.12858 (2021) - [i8]Ziheng Wang, Justin A. Sirignano:
Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning. CoRR abs/2108.08655 (2021) - 2020
- [j10]Ge Liu, Haoyang Zeng, Jonas Mueller, Brandon Carter
, Ziheng Wang, Jonas Schilz, Geraldine Horny, Michael E. Birnbaum, Stefan Ewert, David K. Gifford:
Antibody complementarity determining region design using high-capacity machine learning. Bioinform. 36(7): 2126-2133 (2020) - [j9]Ziheng Wang, Phillip Servio, Alejandro D. Rey:
Rate of Entropy Production in Evolving Interfaces and Membranes under Astigmatic Kinematics: Shape Evolution in Geometric-Dissipation Landscapes. Entropy 22(9): 909 (2020) - [j8]Ziheng Wang, Michael Kasman, Marco A. Martinez, Robert Rege, Herbert Zeh, Daniel Scott, Ann Majewicz Fey:
A Comparative Human-Centric Analysis of Virtual Reality and Dry Lab Training Tasks on the da Vinci Surgical Platform. J. Medical Robotics Res. 4(3-4): 1942007:1-1942007:13 (2020) - [j7]Ryan Senanayake, Changwan Hong, Ziheng Wang, Amalee Wilson, Stephen Chou, Shoaib Kamil, Saman P. Amarasinghe, Fredrik Kjolstad:
A sparse iteration space transformation framework for sparse tensor algebra. Proc. ACM Program. Lang. 4(OOPSLA): 158:1-158:30 (2020) - [c25]Ziheng Wang:
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference. PACT 2020: 31-42 - [c24]Ziheng Wang, Jeremy Wohlwend, Tao Lei:
Structured Pruning of Large Language Models. EMNLP (1) 2020: 6151-6162 - [i7]Ziheng Wang:
SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference. CoRR abs/2008.11849 (2020)
2010 – 2019
- 2019
- [c23]Yun Li, Ziheng Wang, Jing Chen, Fei Wang, Jiajie Xu:
Multiple Query Point Based Collective Spatial Keyword Querying. ADMA 2019: 63-78 - [c22]Chang Liu, Ziheng Wang, Su Wu, Shaozhi Wu, Kai Xiao:
Regression Task on Big Data with Convolutional Neural Network. AMLTA 2019: 52-58 - [c21]Ziheng Wang, Su Wu, Chang Liu, Shaozhi Wu, Kai Xiao:
The Regression of MNIST Dataset Based on Convolutional Neural Network. AMLTA 2019: 59-68 - [c20]Su Wu, Chang Liu, Ziheng Wang, Shaozhi Wu, Kai Xiao:
Regression with Support Vector Machines and VGG Neural Networks. AMLTA 2019: 301-311 - [c19]Jiang Tao, Jian Wang, Andrew Wang, Zhangqian Xie, Ziheng Wang, Shaozhi Wu, Aboul Ella Hassanien, Kai Xiao:
Dental Age Estimation: A Machine Learning Perspective. AMLTA 2019: 722-733 - [c18]Su Wu, Ziheng Wang, Chang Liu, Chenming Zhu, Shaozhi Wu, Kai Xiao:
Automatical Segmentation of Pelvic Organs After Hysterectomy by using Dilated Convolution U-Net++. QRS Companion 2019: 362-367 - [c17]Chang Liu, Shaozhi Wu, Su Wu, Ziheng Wang, Kai Xiao:
Reliable Automatic Organ Segmentation from CT Images using Deep CNN. QRS Companion 2019: 368-374 - [c16]Ziheng Wang, Grace H. T. Yeo, Richard Sherwood, David Gifford:
Disentangled Representations of Cellular Identity. RECOMB 2019: 256-271 - [i6]Ziheng Wang, Sree Harsha Nelaturu:
Accelerated CNN Training Through Gradient Approximation. CoRR abs/1908.05460 (2019) - [i5]Ziheng Wang, Jeremy Wohlwend, Tao Lei:
Structured Pruning of Large Language Models. CoRR abs/1910.04732 (2019) - 2018
- [j6]Meilian Lu, Zhihe Qu, Ziheng Wang, Zhenglin Zhang:
Hete_MESE: Multi-Dimensional Community Detection Algorithm Based on Multiplex Network Extraction and Seed Expansion for Heterogeneous Information Networks. IEEE Access 6: 73965-73983 (2018) - [j5]Ziheng Wang, Ann Majewicz Fey:
Deep learning with convolutional neural network for objective skill evaluation in robot-assisted surgery. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1959-1970 (2018) - [c15]Ziheng Wang, Ann Majewicz Fey:
SATR-DL: Improving Surgical Skill Assessment And Task Recognition In Robot-Assisted Surgery With Deep Neural Networks. EMBC 2018: 1793-1796 - [c14]Ziheng Wang:
Analysing the Impact of Electronic Health Records. HIS 2018: 156-163 - [c13]Ziheng Wang, Isabella Reed, Ann Majewicz Fey:
Toward Intuitive Teleoperation in Surgery: Human-Centric Evaluation of Teleoperation Algorithms for Robotic Needle Steering. ICRA 2018: 1-8 - [c12]Yanting Zhang, Ziheng Wang, Yonggang Qi, Jun Liu, Jie Yang:
CTSD: A Dataset for Traffic Sign Recognition in Complex Real-World Images. VCIP 2018: 1-4 - [i4]Ziheng Wang, Ann Majewicz Fey:
Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery. CoRR abs/1806.05796 (2018) - [i3]Ziheng Wang, Ann Majewicz Fey:
SATR-DL: Improving Surgical Skill Assessment and Task Recognition in Robot-assisted Surgery with Deep Neural Networks. CoRR abs/1806.05798 (2018) - 2017
- [c11]Zhenyuan Ji, Xuechao Kan, Yun Zhang, Ziheng Wang, Hongyan Jin:
A Novel Instantaneous Imaging of Ship Based on the Hybrid System of SAR and ISAR. CSPS 2017: 1556-1563 - [i2]Yue Wu, Ziheng Wang, Qiang Ji:
A Hierarchical Probabilistic Model for Facial Feature Detection. CoRR abs/1709.05732 (2017) - [i1]Siqi Nie, Ziheng Wang, Qiang Ji:
A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling. CoRR abs/1710.07831 (2017) - 2016
- [c10]Ziheng Wang, Yonggang Qi, Jun Liu, Zhanyu Ma:
User intention understanding from scratch. SPLINE 2016: 1-4 - [p1]Ziheng Wang, Qiang Ji:
Knowledge Augmented Visual Learning. Handbook of Pattern Recognition and Computer Vision 2016: 255-274 - 2015
- [j4]Siqi Nie, Ziheng Wang, Qiang Ji:
A generative restricted Boltzmann machine based method for high-dimensional motion data modeling. Comput. Vis. Image Underst. 136: 14-22 (2015) - [j3]Shangfei Wang, Jun Wang, Ziheng Wang, Qiang Ji:
Multiple Emotion Tagging for Multimedia Data by Exploiting High-Order Dependencies Among Emotions. IEEE Trans. Multim. 17(12): 2185-2197 (2015) - [c9]Ziheng Wang, Qiang Ji:
Classifier learning with hidden information. CVPR 2015: 4969-4977 - [c8]Tian Gao, Ziheng Wang, Qiang Ji:
Structured Feature Selection. ICCV 2015: 4256-4264 - 2014
- [c7]Yue Wu, Ziheng Wang, Qiang Ji:
A Hierarchical Probabilistic Model for Facial Feature Detection. CVPR 2014: 1781-1788 - [c6]Ziheng Wang, Xiaoyang Wang, Qiang Ji:
Learning with Hidden Information. ICPR 2014: 238-243 - [c5]Ziheng Wang, Tian Gao, Qiang Ji:
Learning with Hidden Information Using a Max-Margin Latent Variable Model. ICPR 2014: 1389-1394 - 2013
- [j2]Yongmian Zhang, Yifan Zhang, Eran Swears, Natalia Larios, Ziheng Wang, Qiang Ji:
Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2468-2483 (2013) - [c4]Ziheng Wang, Shangfei Wang, Qiang Ji:
Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition. CVPR 2013: 3422-3429 - [c3]Ziheng Wang, Yongqiang Li, Shangfei Wang, Qiang Ji:
Capturing Global Semantic Relationships for Facial Action Unit Recognition. ICCV 2013: 3304-3311 - 2012
- [j1]Ziheng Wang, Ryan M. Hope, Zuoguan Wang, Qiang Ji, Wayne D. Gray:
Cross-subject workload classification with a hierarchical Bayes model. NeuroImage 59(1): 64-69 (2012) - 2011
- [c2]Ziheng Wang, Ryan M. Hope, Zuoguan Wang, Qiang Ji, Wayne D. Gray:
An EEG workload classifier for multiple subjects. EMBC 2011: 6534-6537 - 2010
- [c1]Ziheng Wang, Xudong Xie:
An efficient face recognition algorithm based on robust principal component analysis. ICIMCS 2010: 99-102
Coauthor Index
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