b'Qian Yang'

research

∙ 06/06/2023

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

Scaling text-to-speech to a large and wild dataset has been proven to be...

0 Ziyue Jiang, et al. ∙

research

∙ 05/23/2023

FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models

Stutter removal is an essential scenario in the field of speech editing....

0 Ziyue Jiang, et al. ∙

research

∙ 04/13/2023

Towards Prototyping Driverless Vehicle Behaviors, City Design, and Policies Simultaneously

Autonomous Vehicles (AVs) can potentially improve urban living by reduci...

0 Hauke Sandhaus, et al. ∙

research

∙ 02/17/2023

Med-EASi: Finely Annotated Dataset and Models for Controllable Simplification of Medical Texts

Automatic medical text simplification can assist providers with patient-...

1 Chandrayee Basu, et al. ∙

research

∙ 02/06/2023

Conversation Regression Testing: A Design Technique for Prototyping Generalizable Prompt Strategies for Pre-trained Language Models

Pre-trained language models (LLMs) such as GPT-3 can carry fluent, multi...

0 J. D. Zamfirescu-Pereira, et al. ∙

research

∙ 12/16/2022

Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation

Multi-modal and multi-hop question answering aims to answer a question b...

0 Qian Yang, et al. ∙

research

∙ 12/16/2022

Semi-Siamese Network for Robust Change Detection Across Different Domains with Applications to 3D Printing

Automatic defect detection for 3D printing processes, which shares many ...

0 Yushuo Niu, et al. ∙

research

∙ 07/23/2022

Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations

Visual Entailment with natural language explanations aims to infer the r...

0 Qian Yang, et al. ∙

research

∙ 06/05/2022

Dict-TTS: Learning to Pronounce with Prior Dictionary Knowledge for Text-to-Speech

Polyphone disambiguation aims to capture accurate pronunciation knowledg...

0 Ziyue Jiang, et al. ∙

research

∙ 01/18/2022

CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities

Large language models (LMs) offer unprecedented language generation capa...

0 Mina Lee, et al. ∙

research

∙ 12/26/2021

Numerical validation of Koiter's model for all the main types of linearly elastic shells in the static case

In this paper, we validate the main theorems establishing the justificat...

0 Wangxi Duan, et al. ∙

research

∙ 12/21/2021

Practical Active Learning with Model Selection for Small Data

Active learning is of great interest for many practical applications, es...

0 Maryam Pardakhti, et al. ∙

research

∙ 11/01/2021

Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"

There is a growing consensus in HCI and AI research that the design of A...

0 Fernando Delgado, et al. ∙

research

∙ 10/03/2021

Organizational Distance Also Matters: A Case Study of Distributed Research Teams and their Paper Productivity

Geographically dispersed teams often face challenges in coordination and...

0 Dakuo Wang, et al. ∙

research

∙ 02/10/2021

FLOP: Federated Learning on Medical Datasets using Partial Networks

The outbreak of COVID-19 Disease due to the novel coronavirus has caused...

0 Qian Yang, et al. ∙

research

∙ 10/12/2020

Improving Text Generation with Student-Forcing Optimal Transport

Neural language models are often trained with maximum likelihood estimat...

2 Guoyin Wang, et al. ∙

research

∙ 05/17/2020

Attacking Recommender Systems with Augmented User Profiles

Recommendation Systems (RS) have become an essential part of many online...

0 Chen Lin, et al. ∙

research

∙ 02/06/2020

Faster On-Device Training Using New Federated Momentum Algorithm

Mobile crowdsensing has gained significant attention in recent years and...

0 Zhouyuan Huo, et al. ∙

research

∙ 11/20/2019

Graph-Driven Generative Models for Heterogeneous Multi-Task Learning

We propose a novel graph-driven generative model, that unifies multiple ...

0 Wenlin Wang, et al. ∙

research

∙ 10/21/2019

Two Case Studies of Experience Prototyping Machine Learning Systems in the Wild

Throughout the course of my Ph.D., I have been designing the user experi...

0 Qian Yang, et al. ∙

research

∙ 09/30/2019

Improving Textual Network Learning with Variational Homophilic Embeddings

The performance of many network learning applications crucially hinges o...

0 Wenlin Wang, et al. ∙

research

∙ 09/14/2019

Ouroboros: On Accelerating Training of Transformer-Based Language Models

Language models are essential for natural language processing (NLP) task...

0 Qian Yang, et al. ∙

research

∙ 06/19/2019

Learning Compressed Sentence Representations for On-Device Text Processing

Vector representations of sentences, trained on massive text corpora, ar...

0 Dinghan Shen, et al. ∙

research

∙ 04/21/2019

Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes

Clinical decision support tools (DST) promise improved healthcare outcom...

0 Qian Yang, et al. ∙

research

∙ 03/04/2019

Secure Short-Packet Communications for Mission-Critical IoT Applications

In pervasive Internet of Things (IoT) applications, the use of short pac...

0 Hui-Ming Wang, et al. ∙

research

∙ 03/01/2019

Secure Users Oriented Downlink MISO NOMA

This paper proposes a secure users oriented multiple-input and single-ou...

0 Hui-Ming Wang, et al. ∙

research

∙ 09/10/2018

Delivery-Secrecy Tradeoff for Cache-Enabled Stochastic Networks: Content Placement Optimization

Wireless caching has been widely recognized as a promising technique for...

0 Qian Yang, et al. ∙

research

∙ 04/27/2018

Decoupled Parallel Backpropagation with Convergence Guarantee

Backpropagation algorithm is indispensable for the training of feedforwa...

0 Zhouyuan Huo, et al. ∙

research

∙ 02/05/2018

Do You Want Your Autonomous Car To Drive Like You?

With progress in enabling autonomous cars to drive safely on the road, i...

0 Chandrayee Basu, et al. ∙

research

∙ 01/29/2018

Wireless Powered Asynchronous Backscatter Networks with Sporadic Short Packets: Performance Analysis and Optimization

In the fifth generation era, the pervasive applications of Internet of T...

0 Qian Yang, et al. ∙

research

∙ 12/26/2017

Cooperative Transmission for Physical Layer Security by Exploring Social Awareness

Social awareness and social ties are becoming increasingly fashionable w...

0 Yiming Xu, et al. ∙

research

∙ 11/15/2016

Neural Machine Translation with Pivot Languages

While recent neural machine translation approaches have delivered state-...

0 Yong Cheng, et al. ∙

Qian Yang

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