Search Results for author: Qian Chen

Found 48 papers, 26 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

Non-autoregressive Translation with Dependency-Aware Decoder

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

In this paper, we propose a novel and general approach to enhance the target dependency within the NAT decoder from two perspectives: decoder input and decoder self-attention.

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 +3

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

no code implementations20 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 Benchmark +2

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.

Benchmark object-detection +2

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 Benchmark +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 Natural Language Understanding +3

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 +1

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.

Semantic Segmentation

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

8 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 Stock Market Prediction

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.

Computer Vision object-detection +3

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 Benchmark +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 Attack Adversarial Text +4

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 WeChat 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 China's social site WeChat, we leverage a natural experimental design to identify the social contagion of gift giving in online groups.

Experimental Design

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.

Classification General Classification +6

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

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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