Ziheng Wang | DeepAI

DeepAI AI Chat

Featured Co-authors

Nassir Navab
282 publications
Li Zhang
211 publications
Jie Zhang
177 publications
Yue Wu
104 publications
Danail Stoyanov
63 publications
Lena Maier-Hein
43 publications
Nicolas Padoy
40 publications
Han Li
39 publications
Kun Yuan
38 publications
Tong Yu
30 publications
Tao Lei
29 publications

∙ 02/13/2023

CholecTriplet2022: Show me a tool and tell me the triplet – an endoscopic vision challenge for surgical action triplet detection

Formalizing surgical activities as triplets of the used instruments, act...

1 Chinedu Innocent Nwoye, et al. ∙

∙ 02/02/2023

Effective Random Test Generation for Deep Learning Compilers

Deep learning compilers help address difficulties of deploying deep lear...

0 Luyao Ren, et al. ∙

∙ 12/08/2022

Objective Surgical Skills Assessment and Tool Localization: Results from the MICCAI 2021 SimSurgSkill Challenge

Timely and effective feedback within surgical training plays a critical ...

27 Aneeq Zia, et al. ∙

∙ 07/10/2022

A Forward Propagation Algorithm for Online Optimization of Nonlinear Stochastic Differential Equations

Optimizing over the stationary distribution of stochastic differential e...

0 Ziheng Wang, et al. ∙

∙ 02/14/2022

Continuous-time stochastic gradient descent for optimizing over the stationary distribution of stochastic differential equations

We develop a new continuous-time stochastic gradient descent method for ...

0 Ziheng Wang, et al. ∙

∙ 08/19/2021

Global Convergence of the ODE Limit for Online Actor-Critic Algorithms in Reinforcement Learning

Actor-critic algorithms are widely used in reinforcement learning, but a...

0 Ziheng Wang, et al. ∙

∙ 05/26/2021

Compiling Halide Programs to Push-Memory Accelerators

Image processing and machine learning applications benefit tremendously ...

0 Qiaoyi Liu, et al. ∙

∙ 02/26/2021

Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge

Surgical data science is revolutionizing minimally invasive surgery by e...

45 Aneeq Zia, et al. ∙

∙ 01/20/2021

SparseDNN: Fast Sparse Deep Learning Inference on CPUs

The last few years have seen gigantic leaps in algorithms and systems to...

0 Ziheng Wang, et al. ∙

∙ 08/26/2020

SparseRT: Accelerating Unstructured Sparsity on GPUs for Deep Learning Inference

In recent years, there has been a flurry of research in deep neural netw...

0 Ziheng Wang, et al. ∙

∙ 10/10/2019

Structured Pruning of Large Language Models

Large language models have recently achieved state of the art performanc...

0 Ziheng Wang, et al. ∙

∙ 08/15/2019

Accelerated CNN Training Through Gradient Approximation

Training deep convolutional neural networks such as VGG and ResNet by gr...

0 Ziheng Wang, et al. ∙

∙ 06/12/2019

Transferrable Operative Difficulty Assessment in Robot-assisted Teleoperation: A Domain Adaptation Approach

Providing an accurate and efficient assessment of operative difficulty i...

0 Ziheng Wang, et al. ∙

∙ 06/15/2018

SATR-DL: Improving Surgical Skill Assessment and Task Recognition in Robot-assisted Surgery with Deep Neural Networks

Purpose: This paper focuses on an automated analysis of surgical motion ...

0 Ziheng Wang, et al. ∙

∙ 06/15/2018

Deep Learning with Convolutional Neural Network for Objective Skill Evaluation in Robot-assisted Surgery

With the advent of robot-assisted surgery, the role of data-driven appro...

0 Ziheng Wang, et al. ∙

∙ 10/21/2017

A Generative Restricted Boltzmann Machine Based Method for High-Dimensional Motion Data Modeling

Many computer vision applications involve modeling complex spatio-tempor...

0 Siqi Nie, et al. ∙

∙ 09/18/2017

A Hierarchical Probabilistic Model for Facial Feature Detection

Facial feature detection from facial images has attracted great attentio...

0 Yue Wu, et al. ∙