Yichi Zhang

Consistency of random-walk based network embedding algorithms

Jan 18, 2021
Yichi Zhang, Minh Tang

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Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

Dec 31, 2020
Yichi Zhang, Qingcheng Liao, Lin Yuan, He Zhu, Jiezhen Xing, Jicong Zhang

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Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI

Dec 28, 2020
Yichi Zhang

* MICCAI 2020 STACOM Workshop

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FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

Dec 22, 2020
Yichi Zhang, Junhao Pan, Xinheng Liu, Hongzheng Chen, Deming Chen, Zhiru Zhang

* Published at the 29th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2021)

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Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization

Dec 15, 2020
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

* In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world

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Logic Synthesis Meets Machine Learning:Trading Exactness for Generalization

Dec 04, 2020
Shubham Rai, Walter Lau Neto, Yukio Miyasaka, Xinpei Zhang, Mingfei Yu, Qingyang Yi Masahiro Fujita, Guilherme B. Manske, Matheus F. Pontes, Leomar S. da Rosa Junior, Marilton S. de Aguiar, Paulo F. Butzen, Po-Chun Chien, Yu-Shan Huang, Hoa-Ren Wang, Jie-Hong R. Jiang, Jiaqi Gu, Zheng Zhao, Zixuan Jiang, David Z. Pan, Brunno A. de Abreu, Isac de Souza Campos, Augusto Berndt, Cristina Meinhardt, Jonata T. Carvalho, Mateus Grellert, Sergio Bampi, Aditya Lohana, Akash Kumar, Wei Zeng, Azadeh Davoodi, Rasit O. Topaloglu, Yuan Zhou, Jordan Dotzel, Yichi Zhang, Hanyu Wang, Zhiru Zhang, Valerio Tenace, Pierre-Emmanuel Gaillardon, Alan Mishchenko, Satrajit Chatterjee

* In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world

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Yichi Zhang

Consistency of random-walk based network embedding algorithms

Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection Segmentation

Cascaded Convolutional Neural Network for Automatic Myocardial Infarction Segmentation from Delayed-Enhancement Cardiac MRI

FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations

Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization

Logic Synthesis Meets Machine Learning:Trading Exactness for Generalization

AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem?

A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning

Exploring Efficient Volumetric Medical Image Segmentation Using 2.5D Method: An Empirical Study

Dynamic Anticipation and Completion for Multi-Hop Reasoning over Sparse Knowledge Graph

Paraphrase Augmented Task-Oriented Dialog Generation

Covariance Estimation for Matrix-valued Data

Precision Gating: Improving Neural Network Efficiency with Dynamic Dual-Precision Activations

Task-Oriented Dialog Systems that Consider Multiple Appropriate Responses under the Same Context

Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection

Alternating Roles Dialog Model with Large-scale Pre-trained Language Models

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models

Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

Data-Centric Mixed-Variable Bayesian Optimization For Materials Design

Elastic CRFs for Open-ontology Slot Filling

A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors

Learning Sparse Structured Ensembles with SG-MCMC and Network Pruning

Face Alignment Assisted by Head Pose Estimation