b'Cheng Chen'

research

∙ 06/01/2023

Harmonic enhancement using learnable comb filter for light-weight full-band speech enhancement model

With fewer feature dimensions, filter banks are often used in light-weig...

0 Xiaohuai Le, et al. ∙

research

∙ 05/28/2023

AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching

In recent years, the utilization of Artificial Intelligence (AI) in the ...

0 Md Tahmid Rahman Laskar, et al. ∙

research

∙ 05/16/2023

Single-Photon Counting Receivers for 6G Optical Wireless Communications

Optical wireless communication (OWC) offers several complementary advant...

0 Shenjie Huang, et al. ∙

research

∙ 04/02/2023

Adversary-Aware Partial label learning with Label distillation

To ensure that the data collected from human subjects is entrusted with ...

0 Cheng Chen, et al. ∙

research

∙ 03/10/2023

HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining

Human-centric perceptions include a variety of vision tasks, which have ...

0 Shixiang Tang, et al. ∙

research

∙ 02/20/2023

Personalized speech enhancement combining band-split RNN and speaker attentive module

Target speaker information can be utilized in speech enhancement (SE) mo...

0 Xiaohuai Le, et al. ∙

research

∙ 01/27/2023

Program Dependence Net and Its Slice for Verifying Linear Temporal Properties

The finite-state model checking of software is still limited by the noto...

0 Zhijun Ding, et al. ∙

research

∙ 01/01/2023

Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification

Brain midline shift (MLS) is one of the most critical factors to be cons...

0 Shizhan Gong, et al. ∙

research

∙ 11/17/2022

Intelligent Reflecting Surfaces for Enhanced Physical Layer Security in NOMA VLC Systems

The rise of intelligent reflecting surfaces (IRSs) is opening the door f...

0 Hanaa Abumarshoud, et al. ∙

research

∙ 11/02/2022

Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop

Telephone transcription data can be very noisy due to speech recognition...

0 Md Tahmid Rahman Laskar, et al. ∙

research

∙ 10/25/2022

SPAD-Based Optical Wireless Communication with ACO-OFDM

The sensitivity of the optical wireless communication (OWC) can be effec...

0 Shenjie Huang, et al. ∙

research

∙ 10/24/2022

Entity-level Sentiment Analysis in Contact Center Telephone Conversations

Entity-level sentiment analysis predicts the sentiment about entities me...

0 Xue-Yong Fu, et al. ∙

research

∙ 09/27/2022

An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts

We present a simple yet effective method to train a named entity recogni...

0 Xue-Yong Fu, et al. ∙

research

∙ 08/13/2022

A Unified Two-Stage Group Semantics Propagation and Contrastive Learning Network for Co-Saliency Detection

Co-saliency detection (CoSOD) aims at discovering the repetitive salient...

0 Zhenshan Tan, et al. ∙

research

∙ 07/13/2022

Online Active Regression

Active regression considers a linear regression problem where the learne...

0 Cheng Chen, et al. ∙

research

∙ 07/12/2022

Simultaneously Learning Stochastic and Adversarial Bandits under the Position-Based Model

Online learning to rank (OLTR) interactively learns to choose lists of i...

0 Cheng Chen, et al. ∙

research

∙ 07/02/2022

Test-time Adaptation with Calibration of Medical Image Classification Nets for Label Distribution Shift

Class distribution plays an important role in learning deep classifiers....

4 Wenao Ma, et al. ∙

research

∙ 07/02/2022

Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation Learning and Retrieval

Recently, the cross-modal pre-training task has been a hotspot because o...

0 Keyu Wen, et al. ∙

research

∙ 07/01/2022

Online Reflective Learning for Robust Medical Image Segmentation

Deep segmentation models often face the failure risks when the testing i...

0 Yuhao Huang, et al. ∙

research

∙ 06/29/2022

Single-domain Generalization in Medical Image Segmentation via Test-time Adaptation from Shape Dictionary

Domain generalization typically requires data from multiple source domai...

17 Quande Liu, et al. ∙

research

∙ 06/04/2022

Performance Analysis of SPAD-Based Optical Wireless Communication with OFDM

In recent years, there has been a growing interest in the use of single-...

0 Shenjie Huang, et al. ∙

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...

0 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...

0 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...

0 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...

13 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...

0 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...

0 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...

0 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...

19 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...

0 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...

0 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...

0 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...

0 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_ ...

0 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...

0 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...

0 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...

10 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...

9 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...

0 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...

0 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...

10 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...

12 Quande Liu, et al. ∙

research

∙ 03/03/2021

Computation Resource Allocation Solution in Recommender Systems

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

0 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...

5 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...

0 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...

2 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...

3 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...

0 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,...

0 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...

10 Yutai Hou, et al. ∙

Cheng Chen

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