b'Ziheng Wang'

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Featured Co-authors

Nassir Navab
318 publications
Qi Zhang
242 publications
Li Zhang
240 publications
Jie Zhang
215 publications
Bo Liu
167 publications
Zhe Wang
161 publications
Yue Wu
122 publications
Hao Yang
100 publications
Liang Zhang
76 publications
Danail Stoyanov
68 publications
Yuning Jiang
53 publications

research

∙ 08/02/2023

DPA Load Balancer: Load balancing for Data Parallel Actor-based systems

In this project we explore ways to dynamically load balance actors in a ...

0 Ziheng Wang, et al. ∙

research

∙ 06/28/2023

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs

In recent years, Transformer-based language models have become the stand...

0 Haihao Shen, et al. ∙

research

∙ 06/02/2023

Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems

The complexity of Machine Learning (ML) systems increases each year, wit...

0 Pedro Reviriego, et al. ∙

research

∙ 05/20/2023

Movie101: A New Movie Understanding Benchmark

To help the visually impaired enjoy movies, automatic movie narrating sy...

0 Zihao Yue, et al. ∙

research

∙ 05/15/2023

Edit As You Wish: Video Description Editing with Multi-grained Commands

Automatically narrating a video with natural language can assist people ...

0 Linli Yao, et al. ∙

research

∙ 05/11/2023

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

The ability to automatically detect and track surgical instruments in en...

17 Aneeq Zia, et al. ∙

research

∙ 04/28/2023

Uncertainty-aware Self-supervised Learning for Cross-domain Technical Skill Assessment in Robot-assisted Surgery

Objective technical skill assessment is crucial for effective training o...

0 Ziheng Wang, et al. ∙

research

∙ 04/03/2023

Bringing Telepresence to Every Desk

In this paper, we work to bring telepresence to every desktop. Unlike co...

0 Shengze Wang, et al. ∙

research

∙ 03/31/2023

Automatic Detection of Out-of-body Frames in Surgical Videos for Privacy Protection Using Self-supervised Learning and Minimal Labels

Endoscopic video recordings are widely used in minimally invasive robot-...

0 Ziheng Wang, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 05/26/2021

Compiling Halide Programs to Push-Memory Accelerators

Image processing and machine learning applications benefit tremendously ...

0 Qiaoyi Liu, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 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. ∙

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