Search Results for author: Meng Chen

Found 36 papers, 1 papers with code

E-ConvRec: A Large-Scale Conversational Recommendation Dataset for E-Commerce Customer Service

no code implementations LREC 2022 Meihuizi Jia, Ruixue Liu, Peiying Wang, Yang song, Zexi Xi, Haobin Li, Xin Shen, Meng Chen, Jinhui Pang, Xiaodong He

There has been a growing interest in developing conversational recommendation system (CRS), which provides valuable recommendations to users through conversations.

Dialogue Management Management

Few-Shot Table Understanding: A Benchmark Dataset and Pre-Training Baseline

no code implementations COLING 2022 Ruixue Liu, Shaozu Yuan, Aijun Dai, Lei Shen, Tiangang Zhu, Meng Chen, Xiaodong He

Since there is no large number of public Chinese tables, we also collect a large-scale, multi-domain tabular corpus to facilitate future Chinese table pre-training, which includes one million tables and related natural language text with auxiliary supervised interaction signals.

Learning to Generate Poetic Chinese Landscape Painting with Calligraphy

no code implementations8 May 2023 Shaozu Yuan, Aijun Dai, Zhiling Yan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He

In this paper, we present a novel system (denoted as Polaca) to generate poetic Chinese landscape painting with calligraphy.

Latent Evolution Model for Change Point Detection in Time-varying Networks

no code implementations17 Dec 2022 Yongshun Gong, Xue Dong, Jian Zhang, Meng Chen

Our method focuses on learning the low-dimensional representations of networks and capturing the evolving patterns of these learned latent representations simultaneously.

Change Point Detection

MNER-QG: An End-to-End MRC framework for Multimodal Named Entity Recognition with Query Grounding

no code implementations27 Nov 2022 Meihuizi Jia, Lei Shen, Xin Shen, Lejian Liao, Meng Chen, Xiaodong He, Zhendong Chen, Jiaqi Li

Multimodal named entity recognition (MNER) is a critical step in information extraction, which aims to detect entity spans and classify them to corresponding entity types given a sentence-image pair.

named-entity-recognition Named Entity Recognition +3

Privacy-Utility Balanced Voice De-Identification Using Adversarial Examples

no code implementations10 Nov 2022 Meng Chen, Li Lu, Jiadi Yu, Yingying Chen, Zhongjie Ba, Feng Lin, Kui Ren

In this paper, we propose a voice de-identification system, which uses adversarial examples to balance the privacy and utility of voice services.

De-identification Speaker Identification

UFO2: A unified pre-training framework for online and offline speech recognition

no code implementations26 Oct 2022 Li Fu, Siqi Li, Qingtao Li, Liping Deng, Fangzhu Li, Lu Fan, Meng Chen, Xiaodong He

In this paper, we propose a Unified pre-training Framework for Online and Offline (UFO2) Automatic Speech Recognition (ASR), which 1) simplifies the two separate training workflows for online and offline modes into one process, and 2) improves the Word Error Rate (WER) performance with limited utterance annotating.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Multivariable Grid-Forming Converters with Direct States Control

no code implementations28 Jun 2022 Meng Chen, Dao Zhou, Frede Blaabjerg

A multi-input multi-output based grid-forming (MIMO-GFM) converter has been proposed using multivariable feedback control, which has been proven as a superior and robust system using low-order controllers.

Power Control of Grid-Forming Converters Based on Full-State Feedback

no code implementations6 May 2022 Meng Chen, Dao Zhou, Frede Blaabjerg

This paper proposes a full-state feedback control for the power loops of grid-forming converters.

Ultra-sensitive Flexible Sponge-Sensor Array for Muscle Activities Detection and Human Limb Motion Recognition

no code implementations30 Apr 2022 Jiao Suo, Yifan Liu, Clio Cheng, Keer Wang, Meng Chen, Ho-Yin Chan, Roy Vellaisamy, Ning Xi, Vivian W. Q. Lou, Wen Jung Li

Human limb motion tracking and recognition plays an important role in medical rehabilitation training, lower limb assistance, prosthetics design for amputees, feedback control for assistive robots, etc.

Action Detection Activity Detection

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality

no code implementations29 Apr 2022 Toby Jia-Jun Li, Yuwen Lu, Jaylexia Clark, Meng Chen, Victor Cox, Meng Jiang, Yang Yang, Tamara Kay, Danielle Wood, Jay Brockman

The AI inequality is caused by (1) the technology divide in who has access to AI technologies in gig work; and (2) the data divide in who owns the data in gig work leads to unfair working conditions, growing pay gap, neglect of workers' diverse preferences, and workers' lack of trust in the platforms.

Label Anchored Contrastive Learning for Language Understanding

no code implementations NAACL 2022 Zhenyu Zhang, Yuming Zhao, Meng Chen, Xiaodong He

Motivated by this, we propose a novel label anchored contrastive learning approach (denoted as LaCon) for language understanding.

Benchmarking Contrastive Learning +3

SE-GAN: Skeleton Enhanced GAN-based Model for Brush Handwriting Font Generation

no code implementations22 Apr 2022 Shaozu Yuan, Ruixue Liu, Meng Chen, Baoyang Chen, Zhijie Qiu, Xiaodong He

There is rare research on brush handwriting font generation, which involves holistic structure changes and complex strokes transfer.

Font Generation

Gated Multimodal Fusion with Contrastive Learning for Turn-taking Prediction in Human-robot Dialogue

no code implementations18 Apr 2022 Jiudong Yang, Peiying Wang, Yi Zhu, Mingchao Feng, Meng Chen, Xiaodong He

Turn-taking, aiming to decide when the next speaker can start talking, is an essential component in building human-robot spoken dialogue systems.

Contrastive Learning Data Augmentation +1

Building Robust Spoken Language Understanding by Cross Attention between Phoneme Sequence and ASR Hypothesis

no code implementations22 Mar 2022 Zexun Wang, Yuquan Le, Yi Zhu, Yuming Zhao, Mingchao Feng, Meng Chen, Xiaodong He

Building Spoken Language Understanding (SLU) robust to Automatic Speech Recognition (ASR) errors is an essential issue for various voice-enabled virtual assistants.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Augmentation of Generalized Multivariable Grid-Forming Control for Power Converters with Cascaded Controllers

no code implementations17 Feb 2022 Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg

The classic design of grid-forming control strategies for power converters rely on the stringent assumption of the timescale separation between DC and AC states and their corresponding control loops, e. g., AC and DC loops, power and cascaded voltage and current loops, etc.

An Automatic Detection Method Of Cerebral Aneurysms In Time-Of-Flight Magnetic Resonance Angiography Images Based On Attention 3D U-Net

no code implementations26 Oct 2021 Chen Geng, Meng Chen, Ruoyu Di, Dongdong Wang, Liqin Yang, Wei Xia, Yuxin Li, Daoying Geng

Conclusions:Compared with the results of our previous studies and other studies, the method in this paper achieves a very competitive sensitivity with less training data and maintains a low false positive rate. As the only method currently using 3D U-Net for aneurysm detection, it proves the feasibility and superior performance of this network in aneurysm detection, and also explores the potential of the channel attention mechanism in this task.

ViDA-MAN: Visual Dialog with Digital Humans

no code implementations26 Oct 2021 Tong Shen, Jiawei Zuo, Fan Shi, Jin Zhang, Liqin Jiang, Meng Chen, Zhengchen Zhang, Wei zhang, Xiaodong He, Tao Mei

We demonstrate ViDA-MAN, a digital-human agent for multi-modal interaction, which offers realtime audio-visual responses to instant speech inquiries.

speech-recognition Speech Recognition +2

SCaLa: Supervised Contrastive Learning for End-to-End Speech Recognition

no code implementations8 Oct 2021 Li Fu, Xiaoxiao Li, Runyu Wang, Lu Fan, Zhengchen Zhang, Meng Chen, Youzheng Wu, Xiaodong He

End-to-end Automatic Speech Recognition (ASR) models are usually trained to optimize the loss of the whole token sequence, while neglecting explicit phonemic-granularity supervision.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder

no code implementations22 Sep 2021 Zhenyu Zhang, Tao Guo, Meng Chen

DialogueBERT was pre-trained with 70 million dialogues in real scenario, and then fine-tuned in three different downstream dialogue understanding tasks.

Dialogue Understanding Emotion Recognition +7

Generalized Multivariable Grid-Forming Control Design for Power Converters

no code implementations14 Sep 2021 Meng Chen, Dao Zhou, Ali Tayyebi, Eduardo Prieto-Araujo, Florian Dörfler, Frede Blaabjerg

The grid-forming converter is an important unit in the future power system with more inverter-interfaced generators.

Tri-Branch Convolutional Neural Networks for Top-$k$ Focused Academic Performance Prediction

1 code implementation22 Jul 2021 Chaoran Cui, Jian Zong, Yuling Ma, Xinhua Wang, Lei Guo, Meng Chen, Yilong Yin

Academic performance prediction aims to leverage student-related information to predict their future academic outcomes, which is beneficial to numerous educational applications, such as personalized teaching and academic early warning.

Conversational Query Rewriting with Self-supervised Learning

no code implementations9 Feb 2021 Hang Liu, Meng Chen, Youzheng Wu, Xiaodong He, BoWen Zhou

Conversational Query Rewriting (CQR) aims to simplify the multi-turn dialogue modeling into a single-turn problem by explicitly rewriting the conversational query into a self-contained utterance.

Self-Supervised Learning

TTDM: A Travel Time Difference Model for Next Location Prediction

no code implementations16 Mar 2020 Qingjie Liu, Yixuan Zuo, Xiaohui Yu, Meng Chen

In particular, we propose a novel method, called Travel Time Difference Model (TTDM), which exploits the difference between the shortest travel time and the actual travel time to predict next locations.

TraLFM: Latent Factor Modeling of Traffic Trajectory Data

no code implementations16 Mar 2020 Meng Chen, Xiaohui Yu, Yang Liu

The widespread use of positioning devices (e. g., GPS) has given rise to a vast body of human movement data, often in the form of trajectories.

MPE: A Mobility Pattern Embedding Model for Predicting Next Locations

no code implementations16 Mar 2020 Meng Chen, Xiaohui Yu, Yang Liu

The wide spread use of positioning and photographing devices gives rise to a deluge of traffic trajectory data (e. g., vehicle passage records and taxi trajectory data), with each record having at least three attributes: object ID, location ID, and time-stamp.

Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation

no code implementations16 Mar 2020 Meng Chen, Xiaoyi Jia, Elizabeth Gorbonos, Chnh T. Hong, Xiaohui Yu, Yang Liu

In this paper we propose a novel framework named NutRec, which models the interactions between ingredients and their proportions within recipes for the purpose of offering healthy recommendation.


PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction

no code implementations16 Mar 2020 Meng Chen, Xiaohui Yu, Yang Liu

Experimental results on a real-world urban traffic dataset confirm that folding time series data into a two-dimensional matrix is effective and PCNN outperforms the baselines significantly for the task of short-term congestion prediction.

Time Series Analysis

NLPMM: a Next Location Predictor with Markov Modeling

no code implementations16 Mar 2020 Meng Chen, Yang Liu, Xiaohui Yu

In this paper, we solve the problem of predicting the next locations of the moving objects with a historical dataset of trajectories.

Mappa Mundi: An Interactive Artistic Mind Map Generator with Artificial Imagination

no code implementations9 May 2019 Ruixue Liu, Baoyang Chen, Meng Chen, Youzheng Wu, Zhijie Qiu, Xiaodong He

We present a novel real-time, collaborative, and interactive AI painting system, Mappa Mundi, for artistic Mind Map creation.

From Knowledge Map to Mind Map: Artificial Imagination

no code implementations4 Mar 2019 Ruixue Liu, Baoyang Chen, XIAOYU GUO, Yan Dai, Meng Chen, Zhijie Qiu, Xiaodong He

Imagination is one of the most important factors which makes an artistic painting unique and impressive.

Lie Algebrized Gaussians for Image Representation

no code implementations3 Apr 2013 Liyu Gong, Meng Chen, Chunlong Hu

Then we vectorize the GMMs based on two facts: (1) components of image-specific GMMs are closely grouped together around their corresponding component of the UBM due to the characteristic of the UBM adaption procedure; (2) Gaussian \emph{pdf}s form a Lie group, which is a differentiable manifold rather than a vector space.

Cannot find the paper you are looking for? You can Submit a new open access paper.