Search Results for author: Qian Chen

Found 94 papers, 41 papers with code

基于迭代信息传递和滑动窗口注意力的问题生成模型研究(Question Generation Model Based on Iterative Message Passing and Sliding Windows Hierarchical Attention)

no code implementations CCL 2021 Qian Chen, Xiaoying Gao, Suge Wang, Xin Guo

“知识图谱问题生成任务是从给定的知识图谱中生成与其相关的问题。目前, 知识图谱问题生成模型主要使用基于RNN或Transformer对知识图谱子图进行编码, 但这种方式丢失了显式的图结构化信息, 在解码器中忽视了局部信息对节点的重要性。本文提出迭代信息传递图编码器来编码子图, 获取子图显式的图结构化信息, 此外, 我们还使用滑动窗口注意力机制提高RNN解码器, 提升子图局部信息对节点的重要度。从WQ和PQ数据集上的实验结果看, 我们提出的模型比KTG模型在BLEU4指标上分别高出2. 16和15. 44, 证明了该模型的有效性。”

Question Generation Question-Generation

CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation

1 code implementation14 Nov 2023 Weixiang Yan, Haitian Liu, Yunkun Wang, Yunzhe Li, Qian Chen, Wen Wang, Tingyu Lin, Weishan Zhao, Li Zhu, Shuiguang Deng, Hari Sundaram

To bridge these gaps between existing benchmarks and expectations from practical applications, we introduce CodeScope, an execution-based, multilingual, multi-task, multi-dimensional evaluation benchmark for comprehensively gauging LLM capabilities on coding tasks.

Code Generation

Loss Masking Is Not Needed in Decoder-only Transformer for Discrete-token Based ASR

no code implementations8 Nov 2023 Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Shiliang Zhang, Chong Deng, Yukun Ma, Hai Yu, Jiaqing Liu, Chong Zhang

Specifically, all these models utilize Loss Masking on the input speech tokens for the ASR task, which means that these models do not explicitly model the dependency between the speech tokens.

Imaging through multimode fibres with physical prior

no code implementations6 Nov 2023 Chuncheng Zhang, Yingjie Shi, Zheyi Yao, Xiubao Sui, Qian Chen

The role of the physical prior is to simplify the mapping relationship between the speckle pattern and the target image, thereby reducing the computational complexity.

Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching

no code implementations5 Nov 2023 Qian Chen, Yiqiang Chen, Xinlong Jiang, Teng Zhang, Weiwei Dai, Wuliang Huang, Zhen Yan, Bo Ye

Model fusion is becoming a crucial component in the context of model-as-a-service scenarios, enabling the delivery of high-quality model services to local users.

Graph Matching Privacy Preserving

Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling

1 code implementation18 Oct 2023 Hai Yu, Chong Deng, Qinglin Zhang, Jiaqing Liu, Qian Chen, Wen Wang

Our approach improve $F_1$ of old SOTA by 3. 42 (73. 74 -> 77. 16) and reduces $P_k$ by 1. 11 points (15. 0 -> 13. 89) on WIKI-727K and achieves an average relative reduction of 4. 3% on $P_k$ on WikiSection.

Information Retrieval Segmentation +2

PAGE: Equilibrate Personalization and Generalization in Federated Learning

no code implementations13 Oct 2023 Qian Chen, Zilong Wang, Jiaqi Hu, Haonan Yan, Jianying Zhou, Xiaodong Lin

Federated learning (FL) is becoming a major driving force behind machine learning as a service, where customers (clients) collaboratively benefit from shared local updates under the orchestration of the service provider (server).

Federated Learning

ITRE: Low-light Image Enhancement Based on Illumination Transmission Ratio Estimation

no code implementations8 Oct 2023 Yu Wang, Yihong Wang, Tong Liu, Xiubao Sui, Qian Chen

In this paper, we propose a novel Retinex-based method, called ITRE, which suppresses noise and artifacts from the origin of the model, prevents over-exposure throughout the enhancement process.

Low-Light Image Enhancement

CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation

1 code implementation8 Oct 2023 Weixiang Yan, Yuchen Tian, Yunzhe Li, Qian Chen, Wen Wang

To advance research on code translation and meet diverse requirements of real-world applications, we construct CodeTransOcean, a large-scale comprehensive benchmark that supports the largest variety of programming languages for code translation.

Code Translation Machine Translation +1

FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks

no code implementations3 Oct 2023 Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad Sadeghi

Federated learning (FL) is a distributed learning process that uses a trusted aggregation server to allow multiple parties (or clients) to collaboratively train a machine learning model without having them share their private data.

Federated Learning

Multi-level Asymmetric Contrastive Learning for Medical Image Segmentation Pre-training

no code implementations21 Sep 2023 Shuang Zeng, Lei Zhu, Xinliang Zhang, Zifeng Tian, Qian Chen, Lujia Jin, Jiayi Wang, Yanye Lu

In this work, we propose a novel asymmetric contrastive learning framework named JCL for medical image segmentation with self-supervised pre-training.

Contrastive Learning Image Segmentation +3

Leveraging Speech PTM, Text LLM, and Emotional TTS for Speech Emotion Recognition

no code implementations19 Sep 2023 Ziyang Ma, Wen Wu, Zhisheng Zheng, Yiwei Guo, Qian Chen, Shiliang Zhang, Xie Chen

In this paper, we explored how to boost speech emotion recognition (SER) with the state-of-the-art speech pre-trained model (PTM), data2vec, text generation technique, GPT-4, and speech synthesis technique, Azure TTS.

Data Augmentation Language Modelling +5

Twofold Structured Features-Based Siamese Network for Infrared Target Tracking

no code implementations31 Aug 2023 Wei-Jie Yan, Yun-Kai Xu, Qian Chen, Xiao-Fang Kong, Guo-Hua Gu, A-Jun Shao, Min-Jie Wan

Nowadays, infrared target tracking has been a critical technology in the field of computer vision and has many applications, such as motion analysis, pedestrian surveillance, intelligent detection, and so forth.

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation

no code implementations9 Aug 2023 Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, Shuang Zeng, Qiushi Ren, Yanye Lu

Existing methods adopt an online-trained classification branch to provide pseudo annotations for supervising the segmentation branch.

Classification Segmentation +3

Self-Distillation Network with Ensemble Prototypes: Learning Robust Speaker Representations without Supervision

1 code implementation5 Aug 2023 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Shiliang Zhang

It assigns representation of augmented views of utterances to the same prototypes as the representation of the original view, thereby enabling effective knowledge transfer between the views.

Representation Learning Speaker Verification +1

Improving BERT with Hybrid Pooling Network and Drop Mask

no code implementations14 Jul 2023 Qian Chen, Wen Wang, Qinglin Zhang, Chong Deng, Ma Yukun, Siqi Zheng

Transformer-based pre-trained language models, such as BERT, achieve great success in various natural language understanding tasks.

Language Modelling Masked Language Modeling +2

FedBone: Towards Large-Scale Federated Multi-Task Learning

no code implementations30 Jun 2023 Yiqiang Chen, Teng Zhang, Xinlong Jiang, Qian Chen, Chenlong Gao, Wuliang Huang

The conflicting gradient projection technique is used to enhance the generalization of the large-scale general model between different tasks.

Federated Learning Multi-Task Learning

Exploiting Correlations Between Contexts and Definitions with Multiple Definition Modeling

no code implementations24 May 2023 Linhan Zhang, Qian Chen, Wen Wang, Yuxin Jiang, Bing Li, Wei Wang, Xin Cao

In this paper, we carefully design a new task called Multiple Definition Modeling (MDM) that pool together all contexts and definition of target words.

Enhancing Generation through Summarization Duality and Explicit Outline Control

no code implementations23 May 2023 Yunzhe Li, Qian Chen, Weixiang Yan, Wen Wang, Qinglin Zhang, Hari Sundaram

To address this, we propose a novel explicit outline control method for more effective utilization of generated outlines.

Text Generation

BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR

no code implementations23 May 2023 Yuhao Liang, Fan Yu, Yangze Li, Pengcheng Guo, Shiliang Zhang, Qian Chen, Lei Xie

The recently proposed serialized output training (SOT) simplifies multi-talker automatic speech recognition (ASR) by generating speaker transcriptions separated by a special token.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Exploring Speaker-Related Information in Spoken Language Understanding for Better Speaker Diarization

no code implementations22 May 2023 Luyao Cheng, Siqi Zheng, Zhang Qinglin, Hui Wang, Yafeng Chen, Qian Chen

In this paper, we propose methods to extract speaker-related information from semantic content in multi-party meetings, which, as we will show, can further benefit speaker diarization.

speaker-diarization Speaker Diarization +1

An Enhanced Res2Net with Local and Global Feature Fusion for Speaker Verification

2 code implementations22 May 2023 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen, Jiajun Qi

This paper proposes a novel architecture called Enhanced Res2Net (ERes2Net), which incorporates both local and global feature fusion techniques to improve the performance.

Speaker Verification

CASA-ASR: Context-Aware Speaker-Attributed ASR

no code implementations21 May 2023 Mohan Shi, Zhihao Du, Qian Chen, Fan Yu, Yangze Li, Shiliang Zhang, Jie Zhang, Li-Rong Dai

In addition, a two-pass decoding strategy is further proposed to fully leverage the contextual modeling ability resulting in a better recognition performance.

Automatic Speech Recognition speech-recognition +1

Ditto: A Simple and Efficient Approach to Improve Sentence Embeddings

1 code implementation18 May 2023 Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Chong Deng, Hai Yu, Jiaqing Liu, Yukun Ma, Chong Zhang

Prior studies diagnose the anisotropy problem in sentence representations from pre-trained language models, e. g., BERT, without fine-tuning.

Language Modelling Semantic Textual Similarity +3

Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution

no code implementations10 Apr 2023 Tingting Liu, YuAn Liu, Chuncheng Zhang, Yuan Liyin, Xiubao Sui, Qian Chen

Moreover, to further improve the perceptual quality of HSI, a frequency loss(HFL) is introduced to optimize the model in the frequency domain.

Hyperspectral Image Super-Resolution Image Super-Resolution

PointCAT: Cross-Attention Transformer for point cloud

1 code implementation6 Apr 2023 Xincheng Yang, Mingze Jin, Weiji He, Qian Chen

Transformer-based models have significantly advanced natural language processing and computer vision in recent years.

Segmentation Semantic Segmentation

Meeting Action Item Detection with Regularized Context Modeling

no code implementations27 Mar 2023 Jiaqing Liu, Chong Deng, Qinglin Zhang, Qian Chen, Wen Wang

We construct and release the first Chinese meeting corpus with manual action item annotations.

Contrastive Learning

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

no code implementations24 Mar 2023 Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao

ICASSP2023 General Meeting Understanding and Generation Challenge (MUG) focuses on prompting a wide range of spoken language processing (SLP) research on meeting transcripts, as SLP applications are critical to improve users' efficiency in grasping important information in meetings.

Extractive Summarization Keyphrase Extraction

MUG: A General Meeting Understanding and Generation Benchmark

1 code implementation24 Mar 2023 Qinglin Zhang, Chong Deng, Jiaqing Liu, Hai Yu, Qian Chen, Wen Wang, Zhijie Yan, Jinglin Liu, Yi Ren, Zhou Zhao

To prompt SLP advancement, we establish a large-scale general Meeting Understanding and Generation Benchmark (MUG) to benchmark the performance of a wide range of SLP tasks, including topic segmentation, topic-level and session-level extractive summarization and topic title generation, keyphrase extraction, and action item detection.

Extractive Summarization Keyphrase Extraction +1

Weighted Sampling for Masked Language Modeling

no code implementations28 Feb 2023 Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Xin Cao, Kongzhang Hao, Yuxin Jiang, Wei Wang

Experiments on the Semantic Textual Similarity benchmark (STS) show that WSBERT significantly improves sentence embeddings over BERT.

Language Modelling Masked Language Modeling +4

One-Pot Multi-Frame Denoising

no code implementations18 Feb 2023 Lujia Jin, Shi Zhao, Lei Zhu, Qian Chen, Yanye Lu

Therefore, it is necessary to avoid the restriction of clean labels and make full use of noisy data for model training.


A Graphical Point Process Framework for Understanding Removal Effects in Multi-Touch Attribution

no code implementations13 Feb 2023 Jun Tao, Qian Chen, James W. Snyder Jr., Arava Sai Kumar, Amirhossein Meisami, Lingzhou Xue

Marketers employ various online advertising channels to reach customers, and they are particularly interested in attribution for measuring the degree to which individual touchpoints contribute to an eventual conversion.


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

1 code implementation16 Dec 2022 Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang

Moreover, the pipelined approaches of retrieval and generation might result in poor generation performance when retrieval performance is low.

Answer Generation Language Modelling +3

DopplerBAS: Binaural Audio Synthesis Addressing Doppler Effect

no code implementations14 Dec 2022 Jinglin Liu, Zhenhui Ye, Qian Chen, Siqi Zheng, Wen Wang, Qinglin Zhang, Zhou Zhao

Recently, binaural audio synthesis (BAS) has emerged as a promising research field for its applications in augmented and virtual realities.

MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction

1 code implementation9 Dec 2022 Shuliang Ning, Mengcheng Lan, Yanran Li, Chaofeng Chen, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui

The mainstream of the existing approaches for video prediction builds up their models based on a Single-In-Single-Out (SISO) architecture, which takes the current frame as input to predict the next frame in a recursive manner.

Video Prediction

Gradient Domain Weighted Guided Image Filtering

no code implementations30 Nov 2022 Bo wang, Yihong Wang, Xiubao Sui, YuAn Liu, Qian Chen

Guided image filter is a well-known local filter in image processing.

Image Denoising

Problem Behaviors Recognition in Videos using Language-Assisted Deep Learning Model for Children with Autism

no code implementations17 Nov 2022 Andong Deng, Taojiannan Yang, Chen Chen, Qian Chen, Leslie Neely, Sakiko Oyama

In such cases, automatic recognition systems based on computer vision and machine learning (in particular deep learning) technology can alleviate this issue to a large extent.

Action Recognition Multimodal Deep Learning +1

Pushing the limits of self-supervised speaker verification using regularized distillation framework

1 code implementation8 Nov 2022 Yafeng Chen, Siqi Zheng, Hui Wang, Luyao Cheng, Qian Chen

A range of experiments conducted on the VoxCeleb datasets demonstrate the superiority of the regularized DINO framework in speaker verification.

Data Augmentation Self-Supervised Learning +1

TFN: An Interpretable Neural Network with Time-Frequency Transform Embedded for Intelligent Fault Diagnosis

1 code implementation5 Sep 2022 Qian Chen, Xingjian Dong, Guowei Tu, Dong Wang, Baoxuan Zhao, Zhike Peng

However, the CNN is a typical black-box model, and the mechanism of CNN's decision-making are not clear, which limits its application in high-reliability-required fault diagnosis scenarios.

Decision Making

Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization

1 code implementation16 Jul 2022 Lei Zhu, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu

Classification activation map (CAM), utilizing the classification structure to generate pixel-wise localization maps, is a crucial mechanism for weakly supervised object localization (WSOL).

Weakly-Supervised Object Localization

DePA: Improving Non-autoregressive Machine Translation with Dependency-Aware Decoder

1 code implementation30 Mar 2022 Jiaao Zhan, Qian Chen, Boxing Chen, Wen Wang, Yu Bai, Yang Gao

We propose a novel and general Dependency-Aware Decoder (DePA) to enhance target dependency modeling in the decoder of fully NAT models from two perspectives: decoder self-attention and decoder input.

Machine Translation Translation

Weakly Supervised Object Localization as Domain Adaption

1 code implementation CVPR 2022 Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu

To avoid this problem, this work provides a novel perspective that models WSOL as a domain adaption (DA) task, where the score estimator trained on the source/image domain is tested on the target/pixel domain to locate objects.

Classification Domain Adaptation +1

ProsoSpeech: Enhancing Prosody With Quantized Vector Pre-training in Text-to-Speech

no code implementations16 Feb 2022 Yi Ren, Ming Lei, Zhiying Huang, Shiliang Zhang, Qian Chen, Zhijie Yan, Zhou Zhao

Specifically, we first introduce a word-level prosody encoder, which quantizes the low-frequency band of the speech and compresses prosody attributes in the latent prosody vector (LPV).

Background-aware Classification Activation Map for Weakly Supervised Object Localization

1 code implementation29 Dec 2021 Lei Zhu, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Zhe Jiang, Bin Qiu, Yunfei You, Yibao Zhang, Qiushi Ren, Yanye Lu

In our B-CAM, two image-level features, aggregated by pixel-level features of potential background and object locations, are used to purify the object feature from the object-related background and to represent the feature of the pure-background sample, respectively.

Classification Weakly-Supervised Object Localization

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

1 code implementation Findings (ACL) 2022 Linhan Zhang, Qian Chen, Wen Wang, Chong Deng, Shiliang Zhang, Bing Li, Wei Wang, Xin Cao

In this work, we propose a novel unsupervised embedding-based KPE approach, Masked Document Embedding Rank (MDERank), to address this problem by leveraging a mask strategy and ranking candidates by the similarity between embeddings of the source document and the masked document.

Contrastive Learning Document Embedding +4

BeamTransformer: Microphone Array-based Overlapping Speech Detection

no code implementations9 Sep 2021 Siqi Zheng, Shiliang Zhang, Weilong Huang, Qian Chen, Hongbin Suo, Ming Lei, Jinwei Feng, Zhijie Yan

We propose BeamTransformer, an efficient architecture to leverage beamformer's edge in spatial filtering and transformer's capability in context sequence modeling.

Towards Making Deep Learning-based Vulnerability Detectors Robust

1 code implementation2 Aug 2021 Zhen Li, Jing Tang, Deqing Zou, Qian Chen, Shouhuai Xu, Chao Zhang, Yichen Li, Hai Jin

Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention.

From Single to Multiple: Leveraging Multi-level Prediction Spaces for Video Forecasting

no code implementations21 Jul 2021 Mengcheng Lan, Shuliang Ning, Yanran Li, Qian Chen, Xunlai Chen, Xiaoguang Han, Shuguang Cui

Despite video forecasting has been a widely explored topic in recent years, the mainstream of the existing work still limits their models with a single prediction space but completely neglects the way to leverage their model with multi-prediction spaces.

Video Prediction

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

1 code implementation20 Jul 2021 Qinglin Zhang, Qian Chen, YaLi Li, Jiaqing Liu, Wen Wang

Evaluations are conducted on the English Wiki-727K document segmentation benchmark, a Chinese Wikipedia-based document segmentation dataset we created, and an in-house Chinese spoken document dataset.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

no code implementations NeurIPS 2021 Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Pan Zhou, Benjamin I. P. Rubinstein, Ce Zhang, Bo Li

To answer these questions, in this work we first theoretically analyze and outline sufficient conditions for adversarial transferability between models; then propose a practical algorithm to reduce the transferability between base models within an ensemble to improve its robustness.

Learning Synergistic Attention for Light Field Salient Object Detection

1 code implementation28 Apr 2021 Yi Zhang, Geng Chen, Qian Chen, Yujia Sun, Yong Xia, Olivier Deforges, Wassim Hamidouche, Lu Zhang

We propose a novel Synergistic Attention Network (SA-Net) to address the light field salient object detection by establishing a synergistic effect between multi-modal features with advanced attention mechanisms.

object-detection Object Detection +1

Discriminative Self-training for Punctuation Prediction

no code implementations21 Apr 2021 Qian Chen, Wen Wang, Mengzhe Chen, Qinglin Zhang

Punctuation prediction for automatic speech recognition (ASR) output transcripts plays a crucial role for improving the readability of the ASR transcripts and for improving the performance of downstream natural language processing applications.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

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

no code implementations21 Apr 2021 Qian Chen, Wen Wang, Qinglin Zhang

In this paper, we propose a novel joint textual-phonetic pre-training approach for learning spoken language representations, aiming at exploring the full potentials of phonetic information to improve SLU robustness to ASR errors.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

TRS: Transferability Reduced Ensemble via Encouraging Gradient Diversity and Model Smoothness

1 code implementation NeurIPS 2021 Zhuolin Yang, Linyi Li, Xiaojun Xu, Shiliang Zuo, Qian Chen, Benjamin Rubinstein, Pan Zhou, Ce Zhang, Bo Li

To answer these questions, in this work we first theoretically analyze and outline sufficient conditions for adversarial transferability between models; then propose a practical algorithm to reduce the transferability between base models within an ensemble to improve its robustness.

RGB-D Salient Object Detection via 3D Convolutional Neural Networks

1 code implementation25 Jan 2021 Qian Chen, Ze Liu, Yi Zhang, Keren Fu, Qijun Zhao, Hongwei Du

The proposed model, named RD3D, aims at pre-fusion in the encoder stage and in-depth fusion in the decoder stage to effectively promote the full integration of RGB and depth streams.

object-detection RGB-D Salient Object Detection +2

Multi-feature driven active contour segmentation model for infrared image with intensity inhomogeneity

no code implementations25 Nov 2020 Qinyan Huang, Weiwen Zhou, Minjie Wan, Xin Chen, Qian Chen, Guohua Gu

Active contour model (ACM) is one of the most widely used image segmentation tools at present, but the existing methods only utilize the local or global single feature information of image to minimize the energy function, which is easy to cause false segmentations in IR images.

Image Segmentation Segmentation +1

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

6 code implementations19 Nov 2020 Xiao-Yang Liu, Hongyang Yang, Qian Chen, Runjia Zhang, Liuqing Yang, Bowen Xiao, Christina Dan Wang

In this paper, we introduce a DRL library FinRL that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies.

reinforcement-learning Reinforcement Learning (RL) +1

EF-Net: A novel enhancement and fusion network for RGB-D saliency detection

1 code implementation4 Nov 2020 Qian Chen, Keren Fu, Ze Liu, Geng Chen, Hongwei Du, Bensheng Qiu, LingShao

Finally, we propose an effective layer-wise aggregation module to fuse the features extracted from the enhanced depth maps and RGB images for the accurate detection of salient objects.

object-detection Object Detection +2

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

no code implementations3 Mar 2020 Qian Chen, Mengzhe Chen, Bo Li, Wen Wang

With the increased applications of automatic speech recognition (ASR) in recent years, it is essential to automatically insert punctuation marks and remove disfluencies in transcripts, to improve the readability of the transcripts as well as the performance of subsequent applications, such as machine translation, dialogue systems, and so forth.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +3

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

1 code implementation3 Mar 2020 Qian Chen, Wen Wang

The noetic end-to-end response selection challenge as one track in the 7th Dialog System Technology Challenges (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.

Goal-Oriented Dialog

Dual Adversarial Domain Adaptation

1 code implementation1 Jan 2020 Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang

Recent experiments have shown that when the discriminator is provided with domain information in both domains and label information in the source domain, it is able to preserve the complex multimodal information and high semantic information in both domains.

MULTI-VIEW LEARNING Unsupervised Domain Adaptation

Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

1 code implementation31 Dec 2019 Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang

In this paper, we propose a novel online transfer learning method which seeks to find a new feature representation, so that the marginal distribution and conditional distribution discrepancy can be online reduced simultaneously.

Transfer Learning

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack

3 code implementations EMNLP 2020 Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

In particular, we propose a tree-based autoencoder to embed the discrete text data into a continuous representation space, upon which we optimize the adversarial perturbation.

Adversarial Text Question Answering +2

ColluEagle: Collusive review spammer detection using Markov random fields

1 code implementation5 Nov 2019 Zhuo Wang, Runlong Hu, Qian Chen, Pei Gao, Xiaowei Xu

Previous works use review network effects, i. e. the relationships among reviewers, reviews, and products, to detect fake reviews or review spammers, but ignore time effects, which are critical in characterizing group spamming.

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

no code implementations19 Aug 2019 Zhi-Xiu Ye, Qian Chen, Wen Wang, Zhen-Hua Ling

We also observe that fine-tuned models after the proposed pre-training approach maintain comparable performance on other NLP tasks, such as sentence classification and natural language inference tasks, compared to the original BERT models.

Common Sense Reasoning Natural Language Inference +2

Gift Contagion in Online Groups: Evidence From Virtual Red Packets

no code implementations24 Jun 2019 Yuan Yuan, Tracy Liu, Chenhao Tan, Qian Chen, Alex Pentland, Jie Tang

Using data on 36 million online red packet gifts on a large social site in East Asia, we leverage a natural experimental design to identify the social contagion of gift giving in online groups.

Experimental Design Marketing

High-speed in vitro intensity diffraction tomography

1 code implementation12 Apr 2019 Jiaji Li, Alex Matlock, Yunzhe Li, Qian Chen, Chao Zuo, Lei Tian

We demonstrate a label-free, scan-free {\it intensity} diffraction tomography technique utilizing annular illumination (aIDT) to rapidly characterize large-volume 3D refractive index distributions in vitro.

Optics Biological Physics

BERT for Joint Intent Classification and Slot Filling

14 code implementations28 Feb 2019 Qian Chen, Zhu Zhuo, Wen Wang

Intent classification and slot filling are two essential tasks for natural language understanding.

General Classification intent-classification +4

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

4 code implementations9 Jan 2019 Qian Chen, Wen Wang

The noetic end-to-end response selection challenge as one track in Dialog System Technology Challenges 7 (DSTC7) aims to push the state of the art of utterance classification for real world goal-oriented dialog systems, for which participants need to select the correct next utterances from a set of candidates for the multi-turn context.

Conversational Response Selection Goal-Oriented Dialog

A Semi-parametric Realized Joint Value-at-Risk and Expected Shortfall Regression Framework

no code implementations5 Jul 2018 Chao Wang, Richard Gerlach, Qian Chen

One-day-ahead VaR and ES forecasting results favor the proposed models, especially when incorporating the sub-sampled Realized Variance and the sub-sampled Realized Range in the model.


A Sequential Neural Encoder with Latent Structured Description for Modeling Sentences

no code implementations15 Nov 2017 Yu-Ping Ruan, Qian Chen, Zhen-Hua Ling

The description layer utilizes modified LSTM units to process these chunk-level vectors in a recurrent manner and produces sequential encoding outputs.

Chunking Natural Language Inference +2

Neural Natural Language Inference Models Enhanced with External Knowledge

1 code implementation ACL 2018 Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Diana Inkpen, Si Wei

With the availability of large annotated data, it has recently become feasible to train complex models such as neural-network-based inference models, which have shown to achieve the state-of-the-art performance.

Natural Language Inference

Adaptive compressed 3D imaging based on wavelet trees and Hadamard multiplexing with a single photon counting detector

no code implementations15 Sep 2017 Huidong Dai, Weiji He, Guohua Gu, Ling Ye, Tianyi Mao, Qian Chen

The proposed multi-resolution photon counting 3D imaging technique acquires a high-resolution 3D image from a coarse image and edges at successfully finer resolution sampled by Hadamard multiplexing along the wavelet trees.

Recurrent Neural Network-Based Sentence Encoder with Gated Attention for Natural Language Inference

2 code implementations WS 2017 Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang, Diana Inkpen

The RepEval 2017 Shared Task aims to evaluate natural language understanding models for sentence representation, in which a sentence is represented as a fixed-length vector with neural networks and the quality of the representation is tested with a natural language inference task.

Natural Language Inference Natural Language Understanding +1

Micro Fourier Transform Profilometry ($μ$FTP): 3D shape measurement at 10,000 frames per second

no code implementations31 May 2017 Chao Zuo, Tianyang Tao, Shijie Feng, Lei Huang, Anand Asundi, Qian Chen

Recent advances in imaging sensors and digital light projection technology have facilitated a rapid progress in 3D optical sensing, enabling 3D surfaces of complex-shaped objects to be captured with improved resolution and accuracy.

Exploring Question Understanding and Adaptation in Neural-Network-Based Question Answering

no code implementations14 Mar 2017 Junbei Zhang, Xiaodan Zhu, Qian Chen, Li-Rong Dai, Si Wei, Hui Jiang

The last several years have seen intensive interest in exploring neural-network-based models for machine comprehension (MC) and question answering (QA).

Question Answering Reading Comprehension

Distraction-Based Neural Networks for Document Summarization

1 code implementation26 Oct 2016 Qian Chen, Xiaodan Zhu, Zhen-Hua Ling, Si Wei, Hui Jiang

Distributed representation learned with neural networks has recently shown to be effective in modeling natural languages at fine granularities such as words, phrases, and even sentences.

Document Summarization

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