b'Cheng Chen'

research

∙ 05/13/2022

Developing a Production System for Purpose of Call Detection in Business Phone Conversations

For agents at a contact centre receiving calls, the most important piece...

Elena Khasanova, et al. ∙

research

∙ 05/09/2022

BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations

An Entity Linking system aligns the textual mentions of entities in a te...

Md Tahmid Rahman Laskar, et al. ∙

research

∙ 04/02/2022

Inverse is Better! Fast and Accurate Prompt for Few-shot Slot Tagging

Prompting methods recently achieve impressive success in few-shot learni...

Yutai Hou, et al. ∙

research

∙ 03/29/2022

Exploring Intra- and Inter-Video Relation for Surgical Semantic Scene Segmentation

Automatic surgical scene segmentation is fundamental for facilitating co...

Yueming Jin, et al. ∙

research

∙ 03/18/2022

SHREC 2021: Classification in cryo-electron tomograms

Cryo-electron tomography (cryo-ET) is an imaging technique that allows t...

Ilja Gubins, et al. ∙

research

∙ 03/11/2022

Impression Allocation and Policy Search in Display Advertising

In online display advertising, guaranteed contracts and real-time biddin...

Di Wu, et al. ∙

research

∙ 02/24/2022

A Unified Framework for Campaign Performance Forecasting in Online Display Advertising

Advertisers usually enjoy the flexibility to choose criteria like target...

Jun Chen, et al. ∙

research

∙ 02/19/2022

An Unsupervised Attentive-Adversarial Learning Framework for Single Image Deraining

Single image deraining has been an important topic in low-level computer...

Wei Liu, et al. ∙

research

∙ 02/19/2022

Holistic Attention-Fusion Adversarial Network for Single Image Defogging

Adversarial learning-based image defogging methods have been extensively...

Wei Liu, et al. ∙

research

∙ 02/14/2022

MuZero with Self-competition for Rate Control in VP9 Video Compression

Video streaming usage has seen a significant rise as entertainment, educ...

Amol Mandhane, et al. ∙

research

∙ 11/13/2021

5 Gbps Optical Wireless Communication using Commercial SPAD Array Receivers

Photon counting detectors such as single-photon avalanche diode (SPAD) a...

Shenjie Huang, et al. ∙

research

∙ 10/18/2021

Prediction of liquid fuel properties using machine learning models with Gaussian processes and probabilistic conditional generative learning

Accurate determination of fuel properties of complex mixtures over a wid...

Rodolfo S. M. Freitas, et al. ∙

research

∙ 10/10/2021

Finding Second-Order Stationary Point for Nonconvex-Strongly-Concave Minimax Problem

We study the smooth minimax optimization problem of the form min_ xmax_ ...

Luo Luo, et al. ∙

research

∙ 10/01/2021

Improving Punctuation Restoration for Speech Transcripts via External Data

Automatic Speech Recognition (ASR) systems generally do not produce punc...

Xue-Yong Fu, et al. ∙

research

∙ 09/20/2021

Assisted Learning for Organizations with Limited Data

We develop an assisted learning framework for assisting organization-lev...

Cheng Chen, et al. ∙

research

∙ 09/19/2021

Source-Free Domain Adaptive Fundus Image Segmentation with Denoised Pseudo-Labeling

Domain adaptation typically requires to access source domain data to uti...

Cheng Chen, et al. ∙

research

∙ 09/06/2021

Efficient Combinatorial Optimization for Word-level Adversarial Textual Attack

Over the past few years, various word-level textual attack approaches ha...

Shengcai Liu, et al. ∙

research

∙ 08/13/2021

Interference Mitigation using Optimized Angle Diversity Receiver in LiFi Cellular network

Light-fidelity (LiFi) is an emerging technology for high-speed short-ran...

Zhihong Zeng, et al. ∙

research

∙ 05/07/2021

MOTR: End-to-End Multiple-Object Tracking with TRansformer

The key challenge in multiple-object tracking (MOT) task is temporal mod...

Fangao Zeng, et al. ∙

research

∙ 03/30/2021

Temporal Memory Relation Network for Workflow Recognition from Surgical Video

Automatic surgical workflow recognition is a key component for developin...

Yueming Jin, et al. ∙

research

∙ 03/10/2021

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Federated learning allows distributed medical institutions to collaborat...

Quande Liu, et al. ∙

research

∙ 03/03/2021

Computation Resource Allocation Solution in Recommender Systems

Recommender systems rely heavily on increasing computation resources to ...

Xun Yang, et al. ∙

research

∙ 02/16/2021

MITNet: GAN Enhanced Magnetic Induction Tomography Based on Complex CNN

Magnetic induction tomography (MIT) is an efficient solution for long-te...

Zuohui Chen, et al. ∙

research

∙ 12/13/2020

C2C-GenDA: Cluster-to-Cluster Generation for Data Augmentation of Slot Filling

Slot filling, a fundamental module of spoken language understanding, oft...

Yutai Hou, et al. ∙

research

∙ 12/09/2020

Neural Rate Control for Video Encoding using Imitation Learning

In modern video encoders, rate control is a critical component and has b...

Hongzi Mao, et al. ∙

research

∙ 11/13/2020

Neural Network Training Techniques Regularize Optimization Trajectory: An Empirical Study

Modern deep neural network (DNN) trainings utilize various training tech...

Cheng Chen, et al. ∙

research

∙ 10/21/2020

Efficient Projection-Free Algorithms for Saddle Point Problems

The Frank-Wolfe algorithm is a classic method for constrained optimizati...

Cheng Chen, et al. ∙

research

∙ 10/05/2020

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

We present a fast simulation application based on a Deep Neural Network,...

Cheng Chen, et al. ∙

research

∙ 09/17/2020

FewJoint: A Few-shot Learning Benchmark for Joint Language Understanding

Few-learn learning (FSL) is one of the key future steps in machine learn...

Yutai Hou, et al. ∙

research

∙ 09/05/2020

Revisiting Co-Occurring Directions: Sharper Analysis and Efficient Algorithm for Sparse Matrices

We study the streaming model for approximate matrix multiplication (AMM)...

Luo Luo, et al. ∙

research

∙ 08/29/2020

An autocovariance-based learning framework for high-dimensional functional time series

Many scientific and economic applications involve the analysis of high-d...

Jinyuan Chang, et al. ∙

research

∙ 07/22/2020

Learning Directional Feature Maps for Cardiac MRI Segmentation

Cardiac MRI segmentation plays a crucial role in clinical diagnosis for ...

Feng Cheng, et al. ∙

research

∙ 03/14/2020

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency

Recent advances in large-scale optimal transport have greatly extended i...

Guansong Lu, et al. ∙

research

∙ 02/22/2020

Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated Fusion

Accurate medical image segmentation commonly requires effective learning...

Cheng Chen, et al. ∙

research

∙ 02/06/2020

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Unsupervised domain adaptation has increasingly gained interest in medic...

Cheng Chen, et al. ∙

research

∙ 09/13/2019

A Stochastic Proximal Point Algorithm for Saddle-Point Problems

We consider saddle point problems which objective functions are the aver...

Luo Luo, et al. ∙

research

∙ 07/04/2019

Multi-Instance Multi-Scale CNN for Medical Image Classification

Deep learning for medical image classification faces three major challen...

Shaohua Li, et al. ∙

research

∙ 06/28/2019

Millemeter-Wave Fixed Wireless Access Using IEEE 802.11ay

IEEE 802.11ay defines new PHY and MAC specifications that enable 100 Gbp...

Cheng Chen, et al. ∙

research

∙ 04/30/2019

Physical Layer Performance Evaluation of Wireless Infrared-based LiFi Uplink

LiFi (light-fidelity) is recognised as a promising technology for the ne...

Cheng Chen, et al. ∙

research

∙ 04/23/2019

New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework

In this paper, we propose a machine-learning assisted modeling framework...

Zhe Zhang, et al. ∙

research

∙ 01/24/2019

Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image Segmentation

This paper presents a novel unsupervised domain adaptation framework, ca...

Cheng Chen, et al. ∙

research

∙ 12/19/2018

PnP-AdaNet: Plug-and-Play Adversarial Domain Adaptation Network with a Benchmark at Cross-modality Cardiac Segmentation

Deep convolutional networks have demonstrated the state-of-the-art perfo...

Qi Dou, et al. ∙

research

∙ 09/10/2018

A Multi-Agent Reinforcement Learning Method for Impression Allocation in Online Display Advertising

In online display advertising, guaranteed contracts and real-time biddin...

Di Wu, et al. ∙

research

∙ 07/31/2018

Sourcerer's Apprentice and the study of code snippet migration

On the worldwide web, not only are webpages connected but source code is...

Stephen Romansky, et al. ∙

research

∙ 06/14/2018

Regression with Functional Errors-in-Predictors: A Generalized Method-of-Moments Approach

Functional regression is an important topic in functional data analysis....

Xinghao Qiao, et al. ∙

research

∙ 06/02/2018

Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation

In spite of the compelling achievements that deep neural networks (DNNs)...

Cheng Chen, et al. ∙

research

∙ 05/22/2018

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA

Deep learning emerges as an important new resource-intensive workload an...

Jilong Xue, et al. ∙

research

∙ 04/29/2018

Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial Loss

Convolutional networks (ConvNets) have achieved great successes in vario...

Qi Dou, et al. ∙

research

∙ 08/15/2017

GARDENIA: A Domain-specific Benchmark Suite for Next-generation Accelerators

This paper presents the Graph Analytics Repository for Designing Next-ge...

Zhen Xu, et al. ∙

research

∙ 08/12/2017

Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation

Matrix factorization has now become a dominant solution for personalized...

Zhenghua Xu, et al. ∙

Cheng Chen

Featured Co-authors