b'Wen Wang'

research

∙ 09/03/2023

NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement

The goal of speech enhancement (SE) is to eliminate the background inter...

0 Wen Wang, et al. ∙

research

∙ 08/15/2023

FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence

Edge Intelligence (EI) allows Artificial Intelligence (AI) applications ...

0 Zhiyuan Wu, et al. ∙

research

∙ 07/14/2023

Improving BERT with Hybrid Pooling Network and Drop Mask

Transformer-based pre-trained language models, such as BERT, achieve gre...

0 Qian Chen, et al. ∙

research

∙ 05/23/2023

Enhancing Generation through Summarization Duality and Explicit Outline Control

Automatically open-ended long text generation poses significant challeng...

0 Yunzhe Li, et al. ∙

research

∙ 05/18/2023

Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings

Prior studies diagnose the anisotropy problem in sentence representation...

0 Qian Chen, et al. ∙

research

∙ 04/06/2023

SegGPT: Segmenting Everything In Context

We present SegGPT, a generalist model for segmenting everything in conte...

0 Xinlong Wang, et al. ∙

research

∙ 03/30/2023

Zero-Shot Video Editing Using Off-The-Shelf Image Diffusion Models

Large-scale text-to-image diffusion models achieve unprecedented success...

0 Wen Wang, et al. ∙

research

∙ 03/27/2023

Meeting Action Item Detection with Regularized Context Modeling

Meetings are increasingly important for collaborations. Action items in ...

0 Jiaqing Liu, et al. ∙

research

∙ 03/24/2023

MUG: A General Meeting Understanding and Generation Benchmark

Listening to long video/audio recordings from video conferencing and onl...

5 Qinglin Zhang, et al. ∙

research

∙ 03/24/2023

Overview of the ICASSP 2023 General Meeting Understanding and Generation Challenge (MUG)

ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) ...

0 Qinglin Zhang, et al. ∙

research

∙ 03/07/2023

Adaptive Knowledge Distillation between Text and Speech Pre-trained Models

Learning on a massive amount of speech corpus leads to the recent succes...

0 Jinjie Ni, et al. ∙

research

∙ 02/28/2023

Weighted Sampling for Masked Language Modeling

Masked Language Modeling (MLM) is widely used to pretrain language model...

0 Linhan Zhang, et al. ∙

research

∙ 01/31/2023

Enhancing NOMA Networks via Reconfigurable Multi-Functional Surface

By flexibly manipulating the radio propagation environment, reconfigurab...

0 Ailing Zheng, 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

∙ 12/05/2022

Images Speak in Images: A Generalist Painter for In-Context Visual Learning

In-context learning, as a new paradigm in NLP, allows the model to rapid...

0 Xinlong Wang, et al. ∙

research

∙ 11/14/2022

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

We launch EVA, a vision-centric foundation model to explore the limits o...

0 Yuxin Fang, et al. ∙

research

∙ 09/30/2022

RL-MD: A Novel Reinforcement Learning Approach for DNA Motif Discovery

The extraction of sequence patterns from a collection of functionally li...

0 Wen Wang, et al. ∙

research

∙ 07/20/2022

Diffsound: Discrete Diffusion Model for Text-to-sound Generation

Generating sound effects that humans want is an important topic. However...

0 Dongchao Yang, et al. ∙

research

∙ 07/08/2022

TGRMPT: A Head-Shoulder Aided Multi-Person Tracker and a New Large-Scale Dataset for Tour-Guide Robot

A service robot serving safely and politely needs to track the surroundi...

0 Wen Wang, et al. ∙

research

∙ 05/29/2022

Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI

This paper investigates the use of the reconfigurable dual-functional su...

0 Wen Wang, et al. ∙

research

∙ 01/04/2022

Supervised Homogeneity Fusion: a Combinatorial Approach

Fusing regression coefficients into homogenous groups can unveil those c...

0 Wen Wang, et al. ∙

research

∙ 10/06/2021

PoNet: Pooling Network for Efficient Token Mixing in Long Sequences

Transformer-based models have achieved great success in various NLP, vis...

0 Chao-Hong Tan, et al. ∙

research

∙ 09/06/2021

Parsing Table Structures in the Wild

This paper tackles the problem of table structure parsing (TSP) from ima...

10 Rujiao Long, et al. ∙

research

∙ 07/27/2021

Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers

Detection transformers have recently shown promising object detection re...

0 Wen Wang, et al. ∙

research

∙ 07/20/2021

Sequence Model with Self-Adaptive Sliding Window for Efficient Spoken Document Segmentation

Transcripts generated by automatic speech recognition (ASR) systems for ...

0 Qinglin Zhang, et al. ∙

research

∙ 07/07/2021

IntraLoss: Further Margin via Gradient-Enhancing Term for Deep Face Recognition

Existing classification-based face recognition methods have achieved rem...

0 Chengzhi Jiang, et al. ∙

research

∙ 06/20/2021

TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition

A table arranging data in rows and columns is a very effective data stru...

0 Wenyuan Xue, et al. ∙

research

∙ 05/14/2021

Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition

Named entity recognition (NER) is a well-studied task in natural languag...

0 Yongliang Shen, et al. ∙

research

∙ 04/25/2021

Reranking Machine Translation Hypotheses with Structured and Web-based Language Models

In this paper, we investigate the use of linguistically motivated and co...

12 Wen Wang, et al. ∙

research

∙ 04/21/2021

Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning

In the traditional cascading architecture for spoken language understand...

0 Qian Chen, et al. ∙

research

∙ 04/21/2021

Discriminative Self-training for Punctuation Prediction

Punctuation prediction for automatic speech recognition (ASR) output tra...

0 Qian Chen, et al. ∙

research

∙ 03/05/2021

Graph-Based Tri-Attention Network for Answer Ranking in CQA

In community-based question answering (CQA) platforms, automatic answer ...

2 Wei Zhang, et al. ∙

research

∙ 12/03/2020

What Makes a Star Teacher? A Hierarchical BERT Model for Evaluating Teacher's Performance in Online Education

Education has a significant impact on both society and personal life. Wi...

0 Wen Wang, et al. ∙

research

∙ 11/09/2020

Intelligent Reflecting Surface Aided Secure UAV Communications

In this letter, we study the secure communication problem in the unmanne...

0 Wen Wang, et al. ∙

research

∙ 03/07/2020

TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation

Video action anticipation aims to predict future action categories from ...

0 Wen Wang, et al. ∙

research

∙ 03/03/2020

Sequential Neural Networks for Noetic End-to-End Response Selection

The noetic end-to-end response selection challenge as one track in the 7...

0 Qian Chen, et al. ∙

research

∙ 03/03/2020

Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection

With the increased applications of automatic speech recognition (ASR) in...

0 Qian Chen, et al. ∙

research

∙ 03/03/2020

Transfer Learning for Context-Aware Spoken Language Understanding

Spoken language understanding (SLU) is a key component of task-oriented ...

0 Qian Chen, et al. ∙

research

∙ 02/19/2020

Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction

Session-based target behavior prediction aims to predict the next item t...

0 Wen Wang, et al. ∙

research

∙ 01/21/2020

A Comprehensive Study on Temporal Modeling for Online Action Detection

Online action detection (OAD) is a practical yet challenging task, which...

0 Wen Wang, et al. ∙

research

∙ 11/28/2019

A Discriminative Learned CNN Embedding for Remote Sensing Image Scene Classification

In this work, a discriminatively learned CNN embedding is proposed for r...

0 Wen Wang, et al. ∙

research

∙ 11/28/2019

A Discriminative Learned CNN Embedding For Remote Senseing Image Scene Classification

In this work, a discriminatively learned CNN embedding is proposed for r...

0 Wen Wang, et al. ∙

research

∙ 08/19/2019

Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models

Neural language representation models such as Bidirectional Encoder Repr...

0 Zhi-Xiu Ye, et al. ∙

research

∙ 06/10/2019

Automated Curriculum Learning for Turn-level Spoken Language Understanding with Weak Supervision

We propose a learning approach for turn-level spoken language understand...

0 Hao Lang, et al. ∙

research

∙ 05/30/2019

The General Pair-based Weighting Loss for Deep Metric Learning

Deep metric learning aims at learning the distance metric between pair o...

0 Haijun Liu, et al. ∙

research

∙ 05/30/2019

Attention: A Big Surprise for Cross-Domain Person Re-Identification

In this paper, we focus on model generalization and adaptation for cross...

0 Haijun Liu, et al. ∙

research

∙ 02/28/2019

BERT for Joint Intent Classification and Slot Filling

Intent classification and slot filling are two essential tasks for natur...

0 Qian Chen, et al. ∙

research

∙ 01/09/2019

Sequential Attention-based Network for Noetic End-to-End Response Selection

The noetic end-to-end response selection challenge as one track in Dialo...

0 Qian Chen, et al. ∙

research

∙ 11/29/2018

Early Stratification of Patients at Risk for Postoperative Complications after Elective Colectomy

Stratifying patients at risk for postoperative complications may facilit...

0 Wen Wang, et al. ∙

research

∙ 10/19/2018

Temporal Action Detection by Joint Identification-Verification

Temporal action detection aims at not only recognizing action category b...

0 Wen Wang, et al. ∙

Wen Wang

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