Yuhan Liu | DeepAI

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Featured Co-authors

Wei Li
286 publications
Chao Wang
170 publications
Long Chen
127 publications
Sanjiv Kumar
74 publications
Manmohan Chandraker
72 publications
Yulia Tsvetkov
64 publications
Xiao Zhang
60 publications
Nikolay Atanasov
57 publications
Hong Chen
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Jun Gao
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Li Xiong
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∙ 05/15/2023

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Large language models (LMs) are pretrained on diverse data sources: news...

0 Shangbin Feng, et al. ∙

∙ 04/11/2023

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model

Federated Learning, as a popular paradigm for collaborative training, is...

0 Yixuan Liu, et al. ∙

∙ 03/27/2023

Should Policymakers be Involved? Understanding the Opinions and Needs for Independent Food Delivery Platforms in the United States regarding Public Policy

Mainstream food delivery platforms, like DoorDash and Uber Eats, have be...

0 Yuhan Liu, et al. ∙

∙ 03/20/2023

Agent-based Simulation for Online Mental Health Matching

Online mental health communities (OMHCs) are an effective and accessible...

0 Yuhan Liu, et al. ∙

∙ 03/06/2023

Understanding Human Intervention in the Platform Economy: A case study of an indie food delivery service

This paper examines the sociotechnical infrastructure of an "indie" food...

0 Samantha Dalal, et al. ∙

∙ 11/07/2022

Discrete Distribution Estimation under User-level Local Differential Privacy

We study discrete distribution estimation under user-level local differe...

0 Jayadev Acharya, et al. ∙

∙ 09/26/2022

Learning Continuous Control Policies for Information-Theoretic Active Perception

This paper proposes a method for learning continuous control policies fo...

0 Pengzhi Yang, et al. ∙

∙ 06/26/2022

Learning to Rearrange with Physics-Inspired Risk Awareness

Real-world applications require a robot operating in the physical world ...

0 Meng Song, et al. ∙

∙ 06/09/2022

TwiBot-22: Towards Graph-Based Twitter Bot Detection

Twitter bot detection has become an increasingly important task to comba...

0 Shangbin Feng, et al. ∙

∙ 06/07/2022

Histogram Estimation under User-level Privacy with Heterogeneous Data

We study the problem of histogram estimation under user-level differenti...

0 Yuhan Liu, et al. ∙

∙ 06/06/2022

Human Behavior Recognition Method Based on CEEMD-ES Radar Selection

In recent years, the millimeter-wave radar to identify human behavior ha...

0 Zhaolin Zhang, et al. ∙

∙ 05/07/2022

Empathetic Response Generation with State Management

The goal of empathetic response generation is to enhance the ability of ...

0 Yuhan Liu, et al. ∙

∙ 10/15/2021

Performance, Successes and Limitations of Deep Learning Semantic Segmentation of Multiple Defects in Transmission Electron Micrographs

In this work, we perform semantic segmentation of multiple defect types ...

16 fds.fds, et al. ∙

∙ 08/19/2021

Multi defect detection and analysis of electron microscopy images with deep learning

Electron microscopy is widely used to explore defects in crystal structu...

0 Mingren Shen, et al. ∙

∙ 05/03/2021

Textual Analysis of Communications in COVID-19 Infected Community on Social Media

During the COVID-19 pandemic, people started to discuss about pandemic-r...

0 Yuhan Liu, et al. ∙

∙ 02/02/2021

AutoFreeze: Automatically Freezing Model Blocks to Accelerate Fine-tuning

With the rapid adoption of machine learning (ML), a number of domains no...

12 Yuhan Liu, et al. ∙

∙ 01/18/2021

Accelerating Deep Learning Inference via Learned Caches

Deep Neural Networks (DNNs) are witnessing increased adoption in multipl...

56 Arjun Balasubramanian, et al. ∙

∙ 10/30/2020

Estimating Sparse Discrete Distributions Under Local Privacy and Communication Constraints

We consider the task of estimating sparse discrete distributions under l...

6 Jayadev Acharya, et al. ∙

∙ 10/14/2020

Auto-calibration Method Using Stop Signs for Urban Autonomous Driving Applications

For use of cameras on an intelligent vehicle, driving over a major bump ...

0 Yunhai Han, et al. ∙

∙ 07/27/2020

Learning discrete distributions: user vs item-level privacy

Much of the literature on differential privacy focuses on item-level pri...

5 Yuhan Liu, et al. ∙

∙ 07/21/2020

Interactive Inference under Information Constraints

We consider distributed inference using sequentially interactive protoco...

0 Jayadev Acharya, et al. ∙

∙ 03/24/2018

Learning architectures based on quantum entanglement: a simple matrix product state algorithm for image recognition

It is a fundamental, but still elusive question whether methods based on...

0 Yuhan Liu, et al. ∙

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