Search Results for author: Min Yang

Found 127 papers, 58 papers with code

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

2 code implementations 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

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

Reducing Spurious Correlations for Answer Selection by Feature Decorrelation and Language Debiasing

1 code implementation COLING 2022 Zeyi Zhong, Min Yang, Ruifeng Xu

In this paper, we propose a novel Spurious Correlation reduction method to improve the robustness of the neural ANswer selection models (SCAN) from the sample and feature perspectives by removing the feature dependencies and language biases in answer selection.

Answer Selection Contrastive Learning

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

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

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

1 code implementation 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

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

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

Self-Explanation Prompting Improves Dialogue Understanding in Large Language Models

no code implementations22 Sep 2023 Haoyu Gao, Ting-En Lin, Hangyu Li, Min Yang, Yuchuan Wu, Wentao Ma, Yongbin Li

Task-oriented dialogue (TOD) systems facilitate users in executing various activities via multi-turn dialogues, but Large Language Models (LLMs) often struggle to comprehend these intricate contexts.

VDialogUE: A Unified Evaluation Benchmark for Visually-grounded Dialogue

no code implementations14 Sep 2023 Yunshui Li, Binyuan Hui, Zhaochao Yin, Wanwei He, Run Luo, Yuxing Long, Min Yang, Fei Huang, Yongbin Li

Visually-grounded dialog systems, which integrate multiple modes of communication such as text and visual inputs, have become an increasingly popular area of investigation.

MIRA: Cracking Black-box Watermarking on Deep Neural Networks via Model Inversion-based Removal Attacks

no code implementations7 Sep 2023 Yifan Lu, Wenxuan Li, Mi Zhang, Xudong Pan, Min Yang

In this paper, we propose a novel Model Inversion-based Removal Attack (\textsc{Mira}), which is watermark-agnostic and effective against most of mainstream black-box DNN watermarking schemes.

DiffusionTrack: Diffusion Model For Multi-Object Tracking

1 code implementation19 Aug 2023 Run Luo, Zikai Song, Lintao Ma, JinLin Wei, Wei Yang, Min Yang

In inference, the model refines a set of paired randomly generated boxes to the detection and tracking results in a flexible one-step or multi-step denoising diffusion process.

Denoising Multi-Object Tracking +2

FashionLOGO: Prompting Multimodal Large Language Models for Fashion Logo Embeddings

1 code implementation17 Aug 2023 Yulin Su, Min Yang, Minghui Qiu, Jing Wang, Tao Wang

Logo embedding plays a crucial role in various e-commerce applications by facilitating image retrieval or recognition, such as intellectual property protection and product search.

Image Retrieval Optical Character Recognition (OCR)

PI-VEGAN: Physics Informed Variational Embedding Generative Adversarial Networks for Stochastic Differential Equations

no code implementations21 Jul 2023 Ruisong Gao, Yufeng Wang, Min Yang, Chuanjun Chen

We present a new category of physics-informed neural networks called physics informed variational embedding generative adversarial network (PI-VEGAN), that effectively tackles the forward, inverse, and mixed problems of stochastic differential equations.

AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models

no code implementations18 Jul 2023 Rui Zhang, Yixin Su, Bayu Distiawan Trisedya, Xiaoyan Zhao, Min Yang, Hong Cheng, Jianzhong Qi

In this paper, we propose the first fully automatic alignment method named AutoAlign, which does not require any manually crafted seed alignments.

Entity Alignment Entity Embeddings +1

Valley: Video Assistant with Large Language model Enhanced abilitY

1 code implementation12 Jun 2023 Ruipu Luo, Ziwang Zhao, Min Yang, Junwei DOng, Minghui Qiu, Pengcheng Lu, Tao Wang, Zhongyu Wei

Specifically, our proposed Valley model is designed with a simple projection module that bridges video, image, and language modalities, and is further unified with a multi-lingual LLM.

Action Recognition Instruction Following +4

Topic-Guided Self-Introduction Generation for Social Media Users

1 code implementation24 May 2023 Chunpu Xu, Jing Li, Piji Li, Min Yang

To allow users to better showcase themselves and network with others, we explore the auto-generation of social media self-introduction, a short sentence outlining a user's personal interests.

PaCE: Unified Multi-modal Dialogue Pre-training with Progressive and Compositional Experts

1 code implementation24 May 2023 Yunshui Li, Binyuan Hui, Zhichao Yin, Min Yang, Fei Huang, Yongbin Li

It utilizes a combination of several fundamental experts to accommodate multiple dialogue-related tasks and can be pre-trained using limited dialogue and extensive non-dialogue multi-modal data.

Dialogue State Tracking Image Retrieval +4

Iterative Forward Tuning Boosts In-context Learning in Language Models

no code implementations22 May 2023 Jiaxi Yang, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li

In this paper, we propose an effective and efficient two-stage framework to boost ICL in LLMs by exploiting a dual form between Transformer attention and gradient descent-based optimization.

Decision Making Multiple-choice

Self-Distillation with Meta Learning for Knowledge Graph Completion

1 code implementation Findings of the Association for Computational Linguistics: EMNLP 2022 2022 Yunshui Li, Junhao Liu, Chengming Li, Min Yang

In this paper, we propose a selfdistillation framework with meta learning(MetaSD) for knowledge graph completion with dynamic pruning, which aims to learn compressed graph embeddings and tackle the longtail samples.

Knowledge Graph Completion Meta-Learning +1

Speech-Text Dialog Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment

1 code implementation19 May 2023 Tianshu Yu, Haoyu Gao, Ting-En Lin, Min Yang, Yuchuan Wu, Wentao Ma, Chao Wang, Fei Huang, Yongbin Li

In this paper, we propose Speech-text dialog Pre-training for spoken dialog understanding with ExpliCiT cRoss-Modal Alignment (SPECTRA), which is the first-ever speech-text dialog pre-training model.

Emotion Recognition in Conversation Multimodal Intent Recognition +1

Type-enhanced Ensemble Triple Representation via Triple-aware Attention for Cross-lingual Entity Alignment

1 code implementation2 May 2023 Zhishuo Zhang, Chengxiang Tan, Haihang Wang, Xueyan Zhao, Min Yang

Entity alignment(EA) is a crucial task for integrating cross-lingual and cross-domain knowledge graphs(KGs), which aims to discover entities referring to the same real-world object from different KGs.

Entity Alignment Knowledge Graphs +1

OTIEA:Ontology-enhanced Triple Intrinsic-Correlation for Cross-lingual Entity Alignment

1 code implementation2 May 2023 Zhishuo Zhang, Chengxiang Tan, Xueyan Zhao, Min Yang, Chaoqun Jiang

In addition, external resources are usually unavailable in some scenarios especially cross-lingual and cross-domain applications, which reflects the little scalability of these methods.

Entity Alignment Knowledge Graphs

Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph-Attention

no code implementations25 Apr 2023 Min Yang, Guanjun Liu, Ziyuan Zhou

In this paper, we propose a novel multi-agent reinforcement learning algorithm, Partially Observable Mean Field Multi-Agent Reinforcement Learning based on Graph--Attention (GAMFQ) to remedy this flaw.

Graph Attention Multi-agent Reinforcement Learning +1

Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary

1 code implementation20 Apr 2023 Xiaokang Liu, Jianquan Li, Jingjing Mu, Min Yang, Ruifeng Xu, Benyou Wang

In this paper, we introduce novel K-center contrastive learning and adjustable decision boundary learning (CLAB) to improve the effectiveness of open intent classification.

Contrastive Learning intent-classification +1

Exorcising ''Wraith'': Protecting LiDAR-based Object Detector in Automated Driving System from Appearing Attacks

no code implementations17 Mar 2023 Qifan Xiao, Xudong Pan, Yifan Lu, Mi Zhang, Jiarun Dai, Min Yang

In this paper, we propose a novel plug-and-play defensive module which works by side of a trained LiDAR-based object detector to eliminate forged obstacles where a major proportion of local parts have low objectness, i. e., to what degree it belongs to a real object.

Rethinking White-Box Watermarks on Deep Learning Models under Neural Structural Obfuscation

no code implementations17 Mar 2023 Yifan Yan, Xudong Pan, Mi Zhang, Min Yang

Copyright protection for deep neural networks (DNNs) is an urgent need for AI corporations.

Reducing Spurious Correlations for Aspect-Based Sentiment Analysis with Variational Information Bottleneck and Contrastive Learning

no code implementations6 Mar 2023 Mingshan Chang, Min Yang, Qingshan Jiang, Ruifeng Xu

Concretely, we employ the Variational Information Bottleneck (VIB) principle to learn an informative and compressed network (self-pruned network) from the original network, which discards the superfluous patterns or spurious correlations between input features and prediction labels.

Aspect-Based Sentiment Analysis (ABSA) Contrastive Learning

Large Language Models are Versatile Decomposers: Decompose Evidence and Questions for Table-based Reasoning

1 code implementation31 Jan 2023 Yunhu Ye, Binyuan Hui, Min Yang, Binhua Li, Fei Huang, Yongbin Li

To alleviate the above challenges, we exploit large language models (LLMs) as decomposers for effective table-based reasoning, which (i) decompose huge evidence (a huge table) into sub-evidence (a small table) to mitigate the interference of useless information for table reasoning; and (ii) decompose complex questions into simpler sub-questions for text reasoning.

Semantic Parsing Table-based Fact Verification

CAP: Robust Point Cloud Classification via Semantic and Structural Modeling

no code implementations CVPR 2023 Daizong Ding, Erling Jiang, Yuanmin Huang, Mi Zhang, Wenxuan Li, Min Yang

Recently, deep neural networks have shown great success on 3D point cloud classification tasks, which simultaneously raises the concern of adversarial attacks that cause severe damage to real-world applications.

3D Point Cloud Classification Classification +2

Rethinking Feature-Based Knowledge Distillation for Face Recognition

no code implementations CVPR 2023 Jingzhi Li, Zidong Guo, Hui Li, Seungju Han, Ji-won Baek, Min Yang, Ran Yang, Sungjoo Suh

By constraining the teacher's search space with reverse distillation, we narrow the intrinsic gap and unleash the potential of feature-only distillation.

Face Recognition Knowledge Distillation

A Generative Approach for Script Event Prediction via Contrastive Fine-tuning

1 code implementation7 Dec 2022 Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu

First, the pretrained language models adopted by current works ignore event-level knowledge, resulting in an inability to capture the correlations between events well.

Language Modelling

Self-consistent Reasoning For Solving Math Word Problems

no code implementations27 Oct 2022 Jing Xiong, Zhongwei Wan, Xiping Hu, Min Yang, Chengming Li

Specifically, we firstly obtain a sub-network by pruning a roberta2tree model, for the sake to use the gap on output distribution between the original roberta2tree model and the pruned sub-network to expose spurious correlative samples.

Less Emphasis on Difficult Layer Regions: Curriculum Learning for Singularly Perturbed Convection-Diffusion-Reaction Problems

1 code implementation23 Oct 2022 Yufeng Wang, Cong Xu, Min Yang, Jin Zhang

Although Physics-Informed Neural Networks (PINNs) have been successfully applied in a wide variety of science and engineering fields, they can fail to accurately predict the underlying solution in slightly challenging convection-diffusion-reaction problems.

STAR: SQL Guided Pre-Training for Context-dependent Text-to-SQL Parsing

1 code implementation21 Oct 2022 ZeFeng Cai, Xiangyu Li, Binyuan Hui, Min Yang, Bowen Li, Binhua Li, Zheng Cao, Weijie Li, Fei Huang, Luo Si, Yongbin Li

Concretely, we propose two novel pre-training objectives which respectively explore the context-dependent interactions of NL utterances and SQL queries within each text-to-SQL conversation: (i) schema state tracking (SST) objective that tracks and explores the schema states of context-dependent SQL queries in the form of schema-states by predicting and updating the value of each schema slot during interaction; (ii) utterance dependency tracking (UDT) objective that employs weighted contrastive learning to pull together two semantically similar NL utterances and push away the representations of semantically dissimilar NL utterances within each conversation.

Contrastive Learning SQL Parsing +1

TransAlign: Fully Automatic and Effective Entity Alignment for Knowledge Graphs

no code implementations16 Oct 2022 Rui Zhang, Xiaoyan Zhao, Bayu Distiawan Trisedya, Min Yang, Hong Cheng, Jianzhong Qi

The task of entity alignment between knowledge graphs (KGs) aims to identify every pair of entities from two different KGs that represent the same entity.

Entity Alignment Entity Embeddings +1

Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems

1 code implementation13 Oct 2022 Guanghu Yuan, Fajie Yuan, Yudong Li, Beibei Kong, Shujie Li, Lei Chen, Min Yang, Chenyun Yu, Bo Hu, Zang Li, Yu Xu, XiaoHu Qie

Existing benchmark datasets for recommender systems (RS) either are created at a small scale or involve very limited forms of user feedback.

Recommendation Systems

It Takes Two: Masked Appearance-Motion Modeling for Self-supervised Video Transformer Pre-training

no code implementations11 Oct 2022 Yuxin Song, Min Yang, Wenhao Wu, Dongliang He, Fu Li, Jingdong Wang

In order to guide the encoder to fully excavate spatial-temporal features, two separate decoders are used for two pretext tasks of disentangled appearance and motion prediction.

motion prediction

SPACE-3: Unified Dialog Model Pre-training for Task-Oriented Dialog Understanding and Generation

1 code implementation14 Sep 2022 Wanwei He, Yinpei Dai, Min Yang, Jian Sun, Fei Huang, Luo Si, Yongbin Li

To capture the structured dialog semantics, we pre-train the dialog understanding module via a novel tree-induced semi-supervised contrastive learning objective with the help of extra dialog annotations.

Contrastive Learning dialog state tracking +1

SUN: Exploring Intrinsic Uncertainties in Text-to-SQL Parsers

1 code implementation COLING 2022 Bowen Qin, Lihan Wang, Binyuan Hui, Bowen Li, Xiangpeng Wei, Binhua Li, Fei Huang, Luo Si, Min Yang, Yongbin Li

To improve the generalizability and stability of neural text-to-SQL parsers, we propose a model uncertainty constraint to refine the query representations by enforcing the output representations of different perturbed encoding networks to be consistent with each other.

SQL Parsing Text-To-SQL

A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions

no code implementations29 Aug 2022 Bowen Qin, Binyuan Hui, Lihan Wang, Min Yang, Jinyang Li, Binhua Li, Ruiying Geng, Rongyu Cao, Jian Sun, Luo Si, Fei Huang, Yongbin Li

In recent years, deep neural networks have significantly advanced this task by neural generation models, which automatically learn a mapping function from an input NL question to an output SQL query.

SQL Parsing Text-To-SQL

CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval

no code implementations21 Aug 2022 Haoran Wang, Dongliang He, Wenhao Wu, Boyang xia, Min Yang, Fu Li, Yunlong Yu, Zhong Ji, Errui Ding, Jingdong Wang

We introduce dynamic dictionaries for both modalities to enlarge the scale of image-text pairs, and diversity-sensitiveness is achieved by adaptive negative pair weighting.

Clustering Contrastive Learning +4

A Certifiable Security Patch for Object Tracking in Self-Driving Systems via Historical Deviation Modeling

no code implementations18 Jul 2022 Xudong Pan, Qifan Xiao, Mi Zhang, Min Yang

To address this design flaw, we propose a simple yet effective security patch for KF-based MOT, the core of which is an adaptive strategy to balance the focus of KF on observations and predictions according to the anomaly index of the observation-prediction deviation, and has certified effectiveness against a generalized hijacking attack model.

Decision Making Object Tracking +2

A Multi-Modality Ovarian Tumor Ultrasound Image Dataset for Unsupervised Cross-Domain Semantic Segmentation

1 code implementation14 Jul 2022 Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Meijing Wu, Xiubo Sang, Min Yang, Lijiang Chen

To solve this problem, we propose a Multi-Modality Ovarian Tumor Ultrasound (MMOTU) image dataset containing 1469 2d ultrasound images and 170 contrast enhanced ultrasonography (CEUS) images with pixel-wise and global-wise annotations.

Domain Adaptation Tumor Segmentation

2nd Place Solution to Google Landmark Retrieval 2020

no code implementations11 Jul 2022 Min Yang, Cheng Cui, Xuetong Xue, Hui Ren, Kai Wei

Using this method, we got a public score of 0. 40176 and a private score of 0. 36278 and achieved 2nd place in the Google Landmark Retrieval Competition 2020.


DALG: Deep Attentive Local and Global Modeling for Image Retrieval

no code implementations1 Jul 2022 Yuxin Song, Ruolin Zhu, Min Yang, Dongliang He

Deeply learned representations have achieved superior image retrieval performance in a retrieve-then-rerank manner.

Image Retrieval Representation Learning +1

Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model

no code implementations29 Jun 2022 Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang

In this paper, we present a novel insider attack called Matryoshka, which employs an irrelevant scheduled-to-publish DNN model as a carrier model for covert transmission of multiple secret models which memorize the functionality of private ML data stored in local data centers.

Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing

2 code implementations28 Jun 2022 Lihan Wang, Bowen Qin, Binyuan Hui, Bowen Li, Min Yang, Bailin Wang, Binhua Li, Fei Huang, Luo Si, Yongbin Li

The importance of building text-to-SQL parsers which can be applied to new databases has long been acknowledged, and a critical step to achieve this goal is schema linking, i. e., properly recognizing mentions of unseen columns or tables when generating SQLs.

SQL Parsing Text-To-SQL

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

2 code implementations5 May 2022 Min Yang, Guo Chen, Yin-Dong Zheng, Tong Lu, LiMin Wang

Empirical results demonstrate that our PlusTAD is very efficient and significantly outperforms the previous methods on the datasets of THUMOS14 and FineAction.

Action Detection object-detection +3

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.

Inductive Bias Language Modelling +2

Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive Learning

1 code implementation2 Nov 2021 Wenyu Zhu, Zhiyao Feng, Zihan Zhang, Jianjun Chen, Zhijian Ou, Min Yang, Chao Zhang

Recovering binary programs' call graphs is crucial for inter-procedural analysis tasks and applications based on them. transfer One of the core challenges is recognizing targets of indirect calls (i. e., indirect callees).

Contrastive Learning Question Answering +1

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

However, data augmentation, as a simple yet effective method, has not received enough attention in this area.

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 Sentiment Analysis +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

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 will bring heavy computational overhead on platforms with limited resources.

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.


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.

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

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 Pseudo Label

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 Reconstruction Attack

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 +1

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 +3

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.


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.

Clustering General Classification +2

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 +1

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.

feature selection

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 +1

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