Search Results for author: Min Yang

Found 78 papers, 31 papers with code

Multi-Modal Sarcasm Detection via Cross-Modal Graph Convolutional Network

no code implementations ACL 2022 Bin Liang, Chenwei Lou, Xiang Li, Min Yang, Lin Gui, Yulan He, Wenjie Pei, Ruifeng Xu

Then, the descriptions of the objects are served as a bridge to determine the importance of the association between the objects of image modality and the contextual words of text modality, so as to build a cross-modal graph for each multi-modal instance.

Sarcasm Detection

Amalgamating Knowledge from Two Teachers for Task-oriented Dialogue System with Adversarial Training

1 code implementation EMNLP 2020 Wanwei He, Min Yang, Rui Yan, Chengming Li, Ying Shen, Ruifeng Xu

Instead of adopting the classic student-teacher learning of forcing the output of a student network to exactly mimic the soft targets produced by the teacher networks, we introduce two discriminators as in generative adversarial network (GAN) to transfer knowledge from two teachers to the student.

Task-Oriented Dialogue Systems

A Template-guided Hybrid Pointer Network for Knowledge-based Task-oriented Dialogue Systems

1 code implementation ACL (dialdoc) 2021 Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang

Most existing neural network based task-oriented dialog systems follow encoder-decoder paradigm, where the decoder purely depends on the source texts to generate a sequence of words, usually suffering from instability and poor readability.

Task-Oriented Dialogue Systems

Argument Pair Extraction with Mutual Guidance and Inter-sentence Relation Graph

no code implementations EMNLP 2021 Jianzhu Bao, Bin Liang, Jingyi Sun, Yice Zhang, Min Yang, Ruifeng Xu

In this paper, we tackle the APE task by a mutual guidance framework, which could utilize the information of an argument in one passage to guide the identification of arguments that can form pairs with it in another passage.

Argument Pair Extraction (APE) Relation Classification

An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing

no code implementations EMNLP 2021 Yi Chen, Haiyun Jiang, Lemao Liu, Shuming Shi, Chuang Fan, Min Yang, Ruifeng Xu

Auxiliary information from multiple sources has been demonstrated to be effective in zero-shot fine-grained entity typing (ZFET).

Entity Typing

Beta Distribution Guided Aspect-aware Graph for Aspect Category Sentiment Analysis with Affective Knowledge

1 code implementation EMNLP 2021 Bin Liang, Hang Su, Rongdi Yin, Lin Gui, Min Yang, Qin Zhao, Xiaoqi Yu, Ruifeng Xu

To be specific, we first regard each aspect as a pivot to derive aspect-aware words that are highly related to the aspect from external affective commonsense knowledge.

graph construction Sentiment Analysis

JointCL: A Joint Contrastive Learning Framework for Zero-Shot Stance Detection

1 code implementation ACL 2022 Bin Liang, Qinglin Zhu, Xiang Li, Min Yang, Lin Gui, Yulan He, Ruifeng Xu

In this paper, we propose a joint contrastive learning (JointCL) framework, which consists of stance contrastive learning and target-aware prototypical graph contrastive learning.

Contrastive Learning Stance Detection

BasicTAD: an Astounding RGB-Only Baseline for Temporal Action Detection

no code implementations5 May 2022 Min Yang, Guo Chen, Yin-Dong Zheng, Tong Lu, LiMin Wang

Temporal action detection (TAD) is extensively studied in the video understanding community by following the object detection pipelines in images.

Action Detection Object Detection +1

"And Then There Were None": Cracking White-box DNN Watermarks via Invariant Neuron Transforms

no code implementations30 Apr 2022 Yifan Yan, Xudong Pan, Yining Wang, Mi Zhang, Min Yang

On $9$ state-of-the-art white-box watermarking schemes and a broad set of industry-level DNN architectures, our attack for the first time reduces the embedded identity message in the protected models to be almost random.

Understanding Adversarial Robustness from Feature Maps of Convolutional Layers

1 code implementation25 Feb 2022 Cong Xu, Min Yang

The adversarial robustness of a neural network mainly relies on two factors, one is the feature representation capacity of the network, and the other is its resistance ability to perturbations.

Adversarial Robustness

Improve Deep Image Inpainting by Emphasizing the Complexity of Missing Regions

no code implementations13 Feb 2022 Yufeng Wang, Dan Li, Cong Xu, Min Yang

Deep image inpainting research mainly focuses on constructing various neural network architectures or imposing novel optimization objectives.

Image Inpainting

A Survey of Natural Language Generation

no code implementations22 Dec 2021 Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang

This paper offers a comprehensive review of the research on Natural Language Generation (NLG) over the past two decades, especially in relation to data-to-text generation and text-to-text generation deep learning methods, as well as new applications of NLG technology.

Data-to-Text Generation

Linking-Enhanced Pre-Training for Table Semantic Parsing

no code implementations18 Nov 2021 Bowen Qin, Lihan Wang, Binyuan Hui, Ruiying Geng, Zheng Cao, Min Yang, Jian Sun, Yongbin Li

Recently pre-training models have significantly improved the performance of various NLP tasks by leveraging large-scale text corpora to improve the contextual representation ability of the neural network.

Language Modelling Representation Learning +1

iCallee: Recovering Call Graphs for Binaries

no code implementations2 Nov 2021 Wenyu Zhu, Zhiyao Feng, Zihan Zhang, Zhijian Ou, Min Yang, Chao Zhang

The key insight is that, neural networks can learn to answer whether a callee function is a potential target of an indirect callsite by comprehending their contexts, i. e., instructions nearby callsites and of callees.

Question Answering

Enhancing Top-N Item Recommendations by Peer Collaboration

no code implementations31 Oct 2021 Yang Sun, Fajie Yuan, Min Yang, Alexandros Karatzoglou, Shen Li, Xiaoyan Zhao

In this paper, we plan to exploit such redundancy phenomena to improve the performance of RS.

Recommendation Systems

Multi-perspective Coherent Reasoning for Helpfulness Prediction of Multimodal Reviews

1 code implementation ACL 2021 Junhao Liu, Zhen Hai, Min Yang, Lidong Bing

In addition, we also devise an intra-review coherent reasoning module to identify the coherence between the text content and images of the review, which is a piece of strong evidence for review helpfulness prediction.

Missingness Augmentation: A General Approach for Improving Generative Imputation Models

1 code implementation31 Jul 2021 Yufeng Wang, Dan Li, Cong Xu, Min Yang

In this article, we aim to respond to this concern and propose a novel general data augmentation method called Missingness Augmentation (MA), which can be applied in many existing generative imputation frameworks to further improve the performance of these models.

Data Augmentation Imputation

Continual Learning for Task-oriented Dialogue System with Iterative Network Pruning, Expanding and Masking

1 code implementation ACL 2021 Binzong Geng, Fajie Yuan, Qiancheng Xu, Ying Shen, Ruifeng Xu, Min Yang

This ability to learn consecutive tasks without forgetting how to perform previously trained problems is essential for developing an online dialogue system.

Continual Learning Network Pruning

Scene-adaptive Knowledge Distillation for Sequential Recommendation via Differentiable Architecture Search

no code implementations15 Jul 2021 Lei Chen, Fajie Yuan, Jiaxi Yang, Min Yang, Chengming Li

To realize such a goal, we propose AdaRec, a knowledge distillation (KD) framework which compresses knowledge of a teacher model into a student model adaptively according to its recommendation scene by using differentiable Neural Architecture Search (NAS).

Knowledge Distillation Neural Architecture Search +1

Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification

1 code implementation21 Jun 2021 Binzong Geng, Min Yang, Fajie Yuan, Shupeng Wang, Xiang Ao, Ruifeng Xu

In this paper, we propose a novel iterative network pruning with uncertainty regularization method for lifelong sentiment classification (IPRLS), which leverages the principles of network pruning and weight regularization.

Network Pruning online learning +1

User-specific Adaptive Fine-tuning for Cross-domain Recommendations

no code implementations15 Jun 2021 Lei Chen, Fajie Yuan, Jiaxi Yang, Xiangnan He, Chengming Li, Min Yang

Fine-tuning works as an effective transfer learning technique for this objective, which adapts the parameters of a pre-trained model from the source domain to the target domain.

Recommendation Systems Transfer Learning

A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems

1 code implementation10 Jun 2021 Dingmin Wang, Ziyao Chen, Wanwei He, Li Zhong, Yunzhe Tao, Min Yang

Most existing neural network based task-oriented dialogue systems follow encoder-decoder paradigm, where the decoder purely depends on the source texts to generate a sequence of words, usually suffering from instability and poor readability.

Task-Oriented Dialogue Systems

Contextualized Knowledge-aware Attentive Neural Network: Enhancing Answer Selection with Knowledge

no code implementations12 Apr 2021 Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Wai Lam, Ying Shen

Answer selection, which is involved in many natural language processing applications such as dialog systems and question answering (QA), is an important yet challenging task in practice, since conventional methods typically suffer from the issues of ignoring diverse real-world background knowledge.

Answer Selection Representation Learning

Adversarial Momentum-Contrastive Pre-Training for Robust Feature Extraction

1 code implementation24 Dec 2020 Cong Xu, Dan Li, Min Yang

Recently proposed adversarial self-supervised learning methods usually require big batches and long training epochs to extract robust features, which is not friendly in practical application.

Contrastive Learning Data Augmentation +1

StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking

1 code implementation14 Dec 2020 Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang

We validate the performance of StackRec by instantiating it with four state-of-the-art SR models in three practical scenarios with real-world datasets.

Sequential Recommendation

The Style-Content Duality of Attractiveness: Learning to Write Eye-Catching Headlines via Disentanglement

no code implementations14 Dec 2020 Mingzhe Li, Xiuying Chen, Min Yang, Shen Gao, Dongyan Zhao, Rui Yan

In this paper, we propose a Disentanglement-based Attractive Headline Generator (DAHG) that generates headline which captures the attractive content following the attractive style.

Disentanglement

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning

no code implementations COLING 2020 Chunpu Xu, Yu Li, Chengming Li, Xiang Ao, Min Yang, Jinwen Tian

In this paper, we propose an Interactive key-value Memory- augmented Attention model for image Paragraph captioning (IMAP) to keep track of the attention history (salient objects coverage information) along with the update-chain of the decoder state and therefore avoid generating repetitive or incomplete image descriptions.

Image Paragraph Captioning

Dual Dynamic Memory Network for End-to-End Multi-turn Task-oriented Dialog Systems

1 code implementation COLING 2020 Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang

To conquer these limitations, we propose a Dual Dynamic Memory Network (DDMN) for multi-turn dialog generation, which maintains two core components: dialog memory manager and KB memory manager.

PC-GAIN: Pseudo-label Conditional Generative Adversarial Imputation Networks for Incomplete Data

1 code implementation16 Nov 2020 Yufeng Wang, Dan Li, Xiang Li, Min Yang

Further, this classifier is incorporated into the generative adversarial framework to help the generator to yield higher quality imputation results.

Imputation

Applications of Triggered Scaler Module for Accelerator Timing

no code implementations28 Oct 2020 Min Yang, Norihiko Kamikubota, Yuto Tajima, Kenichi C. Sato, Nobuhiro Kikuzawa

The second one, an application for the abort signal of a machine protection system (MPS), showed that the module is capable of visualizing signals based on a relationship with the accelerator cycle.

Accelerator Physics

Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation

no code implementations COLING 2020 Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang

Then, we devise a multilingual distillation approach to amalgamate knowledge from multiple language branch models to a single model for all target languages.

Knowledge Distillation Machine Reading Comprehension +1

Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity Analysis

no code implementations26 Oct 2020 Xudong Pan, Mi Zhang, Yifan Yan, Jiaming Zhu, Min Yang

Among existing privacy attacks on the gradient of neural networks, \emph{data reconstruction attack}, which reverse engineers the training batch from the gradient, poses a severe threat on the private training data.

Face Recognition

Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge

no code implementations ACL 2020 Bowen Zhang, Min Yang, Xutao Li, Yunming Ye, Xiaofei Xu, Kuai Dai

Specifically, a semantic-emotion heterogeneous graph is constructed from external semantic and emotion lexicons, which is then fed into a graph convolutional network to learn multi-hop semantic connections between words and emotion tags.

Stance Detection Transfer Learning

A Generic Network Compression Framework for Sequential Recommender Systems

1 code implementation21 Apr 2020 Yang Sun, Fajie Yuan, Min Yang, Guoao Wei, Zhou Zhao, Duo Liu

Current state-of-the-art sequential recommender models are typically based on a sandwich-structured deep neural network, where one or more middle (hidden) layers are placed between the input embedding layer and output softmax layer.

Sequential Recommendation

Convolutional Hierarchical Attention Network for Query-Focused Video Summarization

1 code implementation31 Jan 2020 Shuwen Xiao, Zhou Zhao, Zijian Zhang, Xiaohui Yan, Min Yang

This paper addresses the task of query-focused video summarization, which takes user's query and a long video as inputs and aims to generate a query-focused video summary.

Video Summarization

Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network

no code implementations23 Dec 2019 Chi Xu, Hao Feng, Guoxin Yu, Min Yang, Xiting Wang, Xiang Ao

In this paper, we aim to improve ATSA by discovering the potential aspect terms of the predicted sentiment polarity when the aspect terms of a test sentence are unknown.

Sentiment Analysis

Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering

1 code implementation16 Dec 2019 Jian Wang, Junhao Liu, Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang

In this paper, we propose a novel knowledge-aware dialogue generation model (called TransDG), which transfers question representation and knowledge matching abilities from knowledge base question answering (KBQA) task to facilitate the utterance understanding and factual knowledge selection for dialogue generation.

Dialogue Generation Knowledge Base Question Answering +1

A Fast deflation Method for Sparse Principal Component Analysis via Subspace Projections

no code implementations3 Dec 2019 Cong Xu, Min Yang, Jin Zhang

The implementation of conventional sparse principal component analysis (SPCA) on high-dimensional data sets has become a time consuming work.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing

no code implementations16 Aug 2019 Jianquan Li, Xiaokang Liu, Wenpeng Yin, Min Yang, Liqun Ma, Yaohong Jin

Multi-Task Learning (MTL) aims at boosting the overall performance of each individual task by leveraging useful information contained in multiple related tasks.

Multi-Task Learning

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

5 code implementations ACL 2019 Wei Zhao, Haiyun Peng, Steffen Eger, Erik Cambria, Min Yang

Obstacles hindering the development of capsule networks for challenging NLP applications include poor scalability to large output spaces and less reliable routing processes.

 Ranked #1 on Text Classification on RCV1 (P@1 metric)

General Classification Multi Label Text Classification +2

NAIRS: A Neural Attentive Interpretable Recommendation System

no code implementations20 Feb 2019 Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen

In this paper, we develop a neural attentive interpretable recommendation system, named NAIRS.

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks

no code implementations26 Jan 2019 Kai Lei, Meng Qin, Bo Bai, Gong Zhang, Min Yang

Different from conventional techniques of temporal link prediction that ignore the potential non-linear characteristics and the informative link weights in the dynamic network, we introduce a novel non-linear model GCN-GAN to tackle the challenging temporal link prediction task of weighted dynamic networks.

Link Prediction

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

2 code implementations6 Dec 2018 Yang Deng, Yuexiang Xie, Yaliang Li, Min Yang, Nan Du, Wei Fan, Kai Lei, Ying Shen

Second, these two tasks can benefit each other: answer selection can incorporate the external knowledge from knowledge base (KB), while KBQA can be improved by learning contextual information from answer selection.

Answer Selection Knowledge Base Question Answering +1

Improving Automatic Source Code Summarization via Deep Reinforcement Learning

2 code implementations17 Nov 2018 Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu

To the best of our knowledge, most state-of-the-art approaches follow an encoder-decoder framework which encodes the code into a hidden space and then decode it into natural language space, suffering from two major drawbacks: a) Their encoders only consider the sequential content of code, ignoring the tree structure which is also critical for the task of code summarization, b) Their decoders are typically trained to predict the next word by maximizing the likelihood of next ground-truth word with previous ground-truth word given.

Code Summarization reinforcement-learning +1

Textually Guided Ranking Network for Attentional Image Retweet Modeling

no code implementations24 Oct 2018 Zhou Zhao, Hanbing Zhan, Lingtao Meng, Jun Xiao, Jun Yu, Min Yang, Fei Wu, Deng Cai

In this paper, we study the problem of image retweet prediction in social media, which predicts the image sharing behavior that the user reposts the image tweets from their followees.

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data

no code implementations27 Sep 2018 Yang Deng, Yaliang Li, Ying Shen, Nan Du, Wei Fan, Min Yang, Kai Lei

In the light of these challenges, we propose a new truth discovery method, MedTruth, for medical knowledge condition discovery, which incorporates prior source quality information into the source reliability estimation procedure, and also utilizes the knowledge triple information for trustworthy information computation.

Databases

Cooperative Denoising for Distantly Supervised Relation Extraction

no code implementations COLING 2018 Kai Lei, Daoyuan Chen, Yaliang Li, Nan Du, Min Yang, Wei Fan, Ying Shen

Distantly supervised relation extraction greatly reduces human efforts in extracting relational facts from unstructured texts.

Denoising Information Retrieval +3

Knowledge as A Bridge: Improving Cross-domain Answer Selection with External Knowledge

no code implementations COLING 2018 Yang Deng, Ying Shen, Min Yang, Yaliang Li, Nan Du, Wei Fan, Kai Lei

In this paper, we propose Knowledge-aware Attentive Network (KAN), a transfer learning framework for cross-domain answer selection, which uses the knowledge base as a bridge to enable knowledge transfer from the source domain to the target domains.

Answer Selection Information Retrieval +2

GPSP: Graph Partition and Space Projection based Approach for Heterogeneous Network Embedding

1 code implementation7 Mar 2018 Wenyu Du, Shuai Yu, Min Yang, Qiang Qu, Jia Zhu

Finally, we concatenate the projective vectors from bipartite subnetworks with the ones learned from homogeneous subnetworks to form the final representation of the heterogeneous network.

General Classification Network Embedding +1

Generative Adversarial Network for Abstractive Text Summarization

1 code implementation26 Nov 2017 Linqing Liu, Yao Lu, Min Yang, Qiang Qu, Jia Zhu, Hongyan Li

In this paper, we propose an adversarial process for abstractive text summarization, in which we simultaneously train a generative model G and a discriminative model D. In particular, we build the generator G as an agent of reinforcement learning, which takes the raw text as input and predicts the abstractive summarization.

Abstractive Text Summarization reinforcement-learning

Identifying and Tracking Sentiments and Topics from Social Media Texts during Natural Disasters

no code implementations EMNLP 2017 Min Yang, Jincheng Mei, Heng Ji, Wei Zhao, Zhou Zhao, Xiaojun Chen

We study the problem of identifying the topics and sentiments and tracking their shifts from social media texts in different geographical regions during emergencies and disasters.

Topic Models

A Hybrid Data Association Framework for Robust Online Multi-Object Tracking

no code implementations31 Mar 2017 Min Yang, Yuwei Wu, Yunde Jia

In this paper, we present a hybrid data association framework with a min-cost multi-commodity network flow for robust online multi-object tracking.

Multi-Object Tracking Online Multi-Object Tracking

Context-aware System Service Call-oriented Symbolic Execution of Android Framework with Application to Exploit Generation

no code implementations2 Nov 2016 Lannan Luo, Qiang Zeng, Chen Cao, Kai Chen, Jian Liu, Limin Liu, Neng Gao, Min Yang, Xinyu Xing, Peng Liu

We present novel ideas and techniques to resolve the challenges, and have built the first system for symbolic execution of Android Framework.

Cryptography and Security Software Engineering

Temporal Dynamic Appearance Modeling for Online Multi-Person Tracking

no code implementations10 Oct 2015 Min Yang, Yunde Jia

The temporal dynamic makes a sufficient complement to the spatial structure of varying appearances in the feature space, which significantly improves the affinity measurement between trajectories and detections.

Ordering-sensitive and Semantic-aware Topic Modeling

no code implementations12 Feb 2015 Min Yang, Tianyi Cui, Wenting Tu

In this paper, we present a Gaussian Mixture Neural Topic Model (GMNTM) which incorporates both the ordering of words and the semantic meaning of sentences into topic modeling.

Relaxed Clipping: A Global Training Method for Robust Regression and Classification

no code implementations NeurIPS 2010 Min Yang, Linli Xu, Martha White, Dale Schuurmans, Yao-Liang Yu

We present a generic procedure that can be applied to standard loss functions and demonstrate improved robustness in regression and classification problems.

Classification General Classification

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