Search Results for author: Yang Zhang

Found 175 papers, 61 papers with code

Attention-based Dual Supervised Decoder for RGBD Semantic Segmentation

1 code implementation5 Jan 2022 Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo

Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network.

Semantic Segmentation

Model Stealing Attacks Against Inductive Graph Neural Networks

no code implementations15 Dec 2021 Yun Shen, Xinlei He, Yufei Han, Yang Zhang

Graph neural networks (GNNs), a new family of machine learning (ML) models, have been proposed to fully leverage graph data to build powerful applications.

BCORLE($\lambda$): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market

no code implementations NeurIPS 2021 Yang Zhang, Bo Tang, Qingyu Yang, Dou An, Hongyin Tang, Chenyang Xi, Xueying Li, Feiyu Xiong

Further, a novel offline reinforcement learning method and an off-policy evaluation algorithm are proposed for policy learning and policy evaluation, respectively.

Recommending Multiple Positive Citations for Manuscript via Content-Dependent Modeling and Multi-Positive Triplet

no code implementations25 Nov 2021 Yang Zhang, Qiang Ma

Third, we propose a dynamic context sampling strategy which captures the ``macro-scoped'' citing intents from a manuscript and empowers the citation embeddings to be content-dependent, which allow the algorithm to further improve the performances.

Citation Recommendation

Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective

no code implementations20 Nov 2021 Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Yang Zhang, Juan Li

In this paper, we provide a comprehensive review for the economic and game theoretic approaches proposed in the literature to design various schemes for stimulating data owners to participate in FL training process.

Federated Learning

Property Inference Attacks Against GANs

1 code implementation15 Nov 2021 Junhao Zhou, Yufei Chen, Chao Shen, Yang Zhang

In addition, we show that our attacks can be used to enhance the performance of membership inference against GANs.

Fairness Inference Attack

A Survey of Visual Transformers

no code implementations11 Nov 2021 Yang Liu, Yao Zhang, Yixin Wang, Feng Hou, Jin Yuan, Jiang Tian, Yang Zhang, Zhongchao shi, Jianping Fan, Zhiqiang He

Transformer, an attention-based encoder-decoder architecture, has revolutionized the field of natural language processing.

Get a Model! Model Hijacking Attack Against Machine Learning Models

no code implementations8 Nov 2021 Ahmed Salem, Michael Backes, Yang Zhang

In this work, we propose a new training time attack against computer vision based machine learning models, namely model hijacking attack.

Autonomous Driving Data Poisoning

LF-YOLO: A Lighter and Faster YOLO for Weld Defect Detection of X-ray Image

1 code implementation28 Oct 2021 Moyun Liu, Youping Chen, Lei He, Yang Zhang, Jingming Xie

To further prove the ability of our method, we test it on public dataset MS COCO, and the results show that our LF-YOLO has a outstanding versatility detection performance.

Defect Detection

Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes

no code implementations26 Oct 2021 Yunjie Peng, Saihui Hou, Kang Ma, Yang Zhang, Yongzhen Huang, Zhiqiang He

This paper proposes a simple yet effective bimodal fusion (BiFusion) network, which mines the complementary clues of skeletons and silhouettes, to learn rich features for gait identification.

Gait Identification Gait Recognition

Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks

1 code implementation NeurIPS 2021 Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

Deep Neural Networks (DNNs) are known to be vulnerable to adversarial attacks, i. e., an imperceptible perturbation to the input can mislead DNNs trained on clean images into making erroneous predictions.

Adversarial Robustness

Understanding Interlocking Dynamics of Cooperative Rationalization

no code implementations NeurIPS 2021 Mo Yu, Yang Zhang, Shiyu Chang, Tommi S. Jaakkola

The selection mechanism is commonly integrated into the model itself by specifying a two-component cascaded system consisting of a rationale generator, which makes a binary selection of the input features (which is the rationale), and a predictor, which predicts the output based only on the selected features.

Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation

1 code implementation22 Oct 2021 Yang Zhang, Moyun Liu, Huiming Zhang, Guodong Sun, Jingwu He

To reduce time complexity while improving performance, a sparse representation of global nodes based on noise-free online low-rank representation is used to obtain a global graph at each scale.

Density Estimation Semantic Segmentation +1

A Lightweight and Accurate Recognition Framework for Signs of X-ray Weld Images

no code implementations18 Oct 2021 Moyun Liu, Jingming Xie, Jing Hao, Yang Zhang, Xuzhan Chen, Youping Chen

Based on SCE module, a narrow network is designed for final weld information recognition.

Revisiting IPA-based Cross-lingual Text-to-speech

no code implementations14 Oct 2021 Haitong Zhang, Haoyue Zhan, Yang Zhang, Xinyuan Yu, Yue Lin

Experiments show that the way to process the IPA and suprasegmental sequence has a negligible impact on the CL VC performance.

Exploring Timbre Disentanglement in Non-Autoregressive Cross-Lingual Text-to-Speech

no code implementations14 Oct 2021 Haoyue Zhan, Xinyuan Yu, Haitong Zhang, Yang Zhang, Yue Lin

In this paper, we present a FastPitch-based non-autoregressive cross-lingual Text-to-Speech (TTS) model built with language independent input representation and monolingual force aligners.

Inference Attacks Against Graph Neural Networks

1 code implementation6 Oct 2021 Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang

Second, given a subgraph of interest and the graph embedding, we can determine with high confidence that whether the subgraph is contained in the target graph.

Graph Classification Graph Embedding +1

Membership Inference Attacks Against Recommender Systems

1 code implementation16 Sep 2021 Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang

In this paper, we make the first attempt on quantifying the privacy leakage of recommender systems through the lens of membership inference.

Recommendation Systems

Effective Tensor Completion via Element-wise Weighted Low-rank Tensor Train with Overlapping Ket Augmentation

no code implementations13 Sep 2021 Yang Zhang, Yao Wang, Zhi Han, Xi'ai Chen, Yandong Tang

Accordingly, a novel formulation for tensor completion and an effective optimization algorithm, called as tensor completion by parallel weighted matrix factorization via tensor train (TWMac-TT), is proposed.

A Unified Transformer-based Framework for Duplex Text Normalization

no code implementations23 Aug 2021 Tuan Manh Lai, Yang Zhang, Evelina Bakhturina, Boris Ginsburg, Heng Ji

In addition, we also create a cleaned dataset from the Spoken Wikipedia Corpora for German and report the performance of our systems on the dataset.

Data Augmentation Speech Recognition +2

Deep Sequence Modeling: Development and Applications in Asset Pricing

no code implementations20 Aug 2021 Lin William Cong, Ke Tang, Jingyuan Wang, Yang Zhang

We predict asset returns and measure risk premia using a prominent technique from artificial intelligence -- deep sequence modeling.

Time Series

Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails

no code implementations2 Aug 2021 Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu

Specifically, we design a novel cross-modal transformer module for facial priors estimation, in which an input face and its landmark features are formulated as queries and keys, respectively.

Face Alignment Face Hallucination +2

TumorCP: A Simple but Effective Object-Level Data Augmentation for Tumor Segmentation

1 code implementation21 Jul 2021 Jiawei Yang, Yao Zhang, Yuan Liang, Yang Zhang, Lei He, Zhiqiang He

Experiments on kidney tumor segmentation task demonstrate that TumorCP surpasses the strong baseline by a remarkable margin of 7. 12% on tumor Dice.

Data Augmentation Tumor Segmentation

Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix

no code implementations17 Jul 2021 Wenshuo Wang, Chen Wu, Liang Cheng, Yang Zhang

The advance in machine learning (ML)-driven natural language process (NLP) points a promising direction for automatic bug fixing for software programs, as fixing a buggy program can be transformed to a translation task.

Program Repair Translation

Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation

no code implementations1 Jul 2021 Qiwei Zhong, Guanxiong Zeng, Danqing Zhu, Yang Zhang, Wangli Lin, Ben Chen, Jiayu Tang

In this paper, we consider both the domain agnostic and specific knowledge, and propose a Hierarchical Dual-path BERT method coined hdBERT to capture the general fine-grained and high-level specific representations for acronym disambiguation.

Word Embeddings

ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing Modalities

1 code implementation28 Jun 2021 Yixin Wang, Yang Zhang, Yang Liu, Zihao Lin, Jiang Tian, Cheng Zhong, Zhongchao shi, Jianping Fan, Zhiqiang He

Specifically, ACN adopts a novel co-training network, which enables a coupled learning process for both full modality and missing modality to supplement each other's domain and feature representations, and more importantly, to recover the `missing' information of absent modalities.

Brain Tumor Segmentation Transfer Learning +1

Teacher Model Fingerprinting Attacks Against Transfer Learning

no code implementations23 Jun 2021 Yufei Chen, Chao Shen, Cong Wang, Yang Zhang

To this end, we propose a teacher model fingerprinting attack to infer the origin of a student model, i. e., the teacher model it transfers from.

Transfer Learning

AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media

no code implementations21 Jun 2021 Lanyu Shang, Yang Zhang, Yuheng Zha, Yingxi Chen, Christina Youn, Dong Wang

To address the above challenges, we develop a deep learning based Analogy-aware Offensive Meme Detection (AOMD) framework to learn the implicit analogy from the multi-modal contents of the meme and effectively detect offensive analogy memes.

Confidence-Guided Radiology Report Generation

no code implementations21 Jun 2021 Yixin Wang, Zihao Lin, Jiang Tian, Zhongchao shi, Yang Zhang, Jianping Fan, Zhiqiang He

Such multi-modal uncertainties can sufficiently capture the model confidence scores at both the report-level and the sentence-level, and thus they are further leveraged to weight the losses for achieving more comprehensive model optimization.

Image Captioning

BadNL: Backdoor Attacks Against NLP Models

no code implementations ICML Workshop AML 2021 Xiaoyi Chen, Ahmed Salem, Michael Backes, Shiqing Ma, Yang Zhang

For instance, using the Word-level triggers, our backdoor attack achieves a 100% attack success rate with only a utility drop of 0. 18%, 1. 26%, and 0. 19% on three benchmark sentiment analysis datasets.

Sentiment Analysis

Multi-stage malaria parasite recognition by deep learning

1 code implementation GigaScience 2021 Sen Li, Zeyu Du, Xiangjie Meng, Yang Zhang

The proposed method showed higher accuracy and effectiveness in publicly available microscopic images of multi-stage malaria parasites compared to a wide range of state-of-the-art approaches.

Graph Convolutional Network

Global Rhythm Style Transfer Without Text Transcriptions

no code implementations16 Jun 2021 Kaizhi Qian, Yang Zhang, Shiyu Chang, JinJun Xiong, Chuang Gan, David Cox, Mark Hasegawa-Johnson

In this paper, we propose AutoPST, which can disentangle global prosody style from speech without relying on any text transcriptions.

Representation Learning Style Transfer

Voting for the right answer: Adversarial defense for speaker verification

1 code implementation15 Jun 2021 Haibin Wu, Yang Zhang, Zhiyong Wu, Dong Wang, Hung-Yi Lee

Automatic speaker verification (ASV) is a well developed technology for biometric identification, and has been ubiquitous implemented in security-critic applications, such as banking and access control.

Adversarial Defense Speaker Verification

Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators

1 code implementation11 Jun 2021 Yonggan Fu, Yongan Zhang, Yang Zhang, David Cox, Yingyan Lin

The key challenges include (1) the dilemma of whether to explode the memory consumption due to the huge joint space or achieve sub-optimal designs, (2) the discrete nature of the accelerator design space that is coupled yet different from that of the networks and bitwidths, and (3) the chicken and egg problem associated with network-accelerator co-search, i. e., co-search requires operation-wise hardware cost, which is lacking during search as the optimal accelerator depending on the whole network is still unknown during search.

Distributed Urban Freeway Traffic Optimization Considering Congestion Propagation

no code implementations11 Jun 2021 Fengkun Gao, Bo Yang, Cailian Chen, Xinping Guan, Yang Zhang

Most exiting works develop traffic optimization strategies depending on the local traffic states of congested road segments, where the congestion propagation is neglected.

Conversational Question Answering: A Survey

no code implementations2 Jun 2021 Munazza Zaib, Wei Emma Zhang, Quan Z. Sheng, Adnan Mahmood, Yang Zhang

Question answering (QA) systems provide a way of querying the information available in various formats including, but not limited to, unstructured and structured data in natural languages.

Question Answering

A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell Segmentation

no code implementations21 May 2021 Yinglin Zhang, Risa Higashita, Huazhu Fu, Yanwu Xu, Yang Zhang, Haofeng Liu, Jian Zhang, Jiang Liu

Corneal endothelial cell segmentation plays a vital role inquantifying clinical indicators such as cell density, coefficient of variation, and hexagonality.

Cell Segmentation

SGD-QA: Fast Schema-Guided Dialogue State Tracking for Unseen Services

no code implementations17 May 2021 Yang Zhang, Vahid Noroozi, Evelina Bakhturina, Boris Ginsburg

In this paper, we propose SGD-QA, a simple and extensible model for schema-guided dialogue state tracking based on a question answering approach.

Dialogue State Tracking Goal-Oriented Dialogue Systems +1

Causal Intervention for Leveraging Popularity Bias in Recommendation

1 code implementation13 May 2021 Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang

This work studies an unexplored problem in recommendation -- how to leverage popularity bias to improve the recommendation accuracy.

Collaborative Filtering Recommendation Systems

NeMo Inverse Text Normalization: From Development To Production

1 code implementation11 Apr 2021 Yang Zhang, Evelina Bakhturina, Kyle Gorman, Boris Ginsburg

Inverse text normalization (ITN) converts spoken-domain automatic speech recognition (ASR) output into written-domain text to improve the readability of the ASR output.

Speech Recognition

Hi-Fi Multi-Speaker English TTS Dataset

no code implementations3 Apr 2021 Evelina Bakhturina, Vitaly Lavrukhin, Boris Ginsburg, Yang Zhang

This paper introduces a new multi-speaker English dataset for training text-to-speech models.

Graph Unlearning

no code implementations27 Mar 2021 Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

In the context of machine learning (ML), it requires the ML model provider to remove the data subject's data from the training set used to build the ML model, a process known as \textit{machine unlearning}.

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

2 code implementations CVPR 2021 Zixiang Zhou, Yang Zhang, Hassan Foroosh

Panoptic segmentation presents a new challenge in exploiting the merits of both detection and segmentation, with the aim of unifying instance segmentation and semantic segmentation in a single framework.

Instance Segmentation Panoptic Segmentation

Node-Level Membership Inference Attacks Against Graph Neural Networks

no code implementations10 Feb 2021 Xinlei He, Rui Wen, Yixin Wu, Michael Backes, Yun Shen, Yang Zhang

To fully utilize the information contained in graph data, a new family of machine learning (ML) models, namely graph neural networks (GNNs), has been introduced.

Quantifying and Mitigating Privacy Risks of Contrastive Learning

1 code implementation8 Feb 2021 Xinlei He, Yang Zhang

Our experimental results show that contrastive models trained on image datasets are less vulnerable to membership inference attacks but more vulnerable to attribute inference attacks compared to supervised models.

Contrastive Learning Data Augmentation +1

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

1 code implementation4 Feb 2021 Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

As a result, we lack a comprehensive picture of the risks caused by the attacks, e. g., the different scenarios they can be applied to, the common factors that influence their performance, the relationship among them, or the effectiveness of possible defenses.

Inference Attack Knowledge Distillation +1

A Unified Light Framework for Real-time Fault Detection of Freight Train Images

no code implementations31 Jan 2021 Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang

Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.

Fault Detection Region Proposal

AT-BERT: Adversarial Training BERT for Acronym Identification Winning Solution for SDU@AAAI-21

no code implementations11 Jan 2021 Danqing Zhu, Wangli Lin, Yang Zhang, Qiwei Zhong, Guanxiong Zeng, Weilin Wu, Jiayu Tang

In this paper, we present an Adversarial Training BERT method named AT-BERT, our winning solution to acronym identification task for Scientific Document Understanding (SDU) Challenge of AAAI 2021.

Unsupervised Pre-training

Dynamic Backdoor Attacks Against Deep Neural Networks

no code implementations1 Jan 2021 Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang

In particular, BaN and c-BaN based on a novel generative network are the first two schemes that algorithmically generate triggers.

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam

no code implementations ICCV 2021 Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin

PhlatCam, with its form factor potentially reduced by orders of magnitude, has emerged as a promising solution to the first aforementioned challenge, while the second one remains a bottleneck.

Model Compression Neural Architecture Search

A General Recurrent Tracking Framework Without Real Data

no code implementations ICCV 2021 Shuai Wang, Hao Sheng, Yang Zhang, Yubin Wu, Zhang Xiong

Based on this framework, a Recurrent Tracking Unit (RTU) is designed to score potential tracks through long-term information.

Multi-Object Tracking

Unified Mandarin TTS Front-end Based on Distilled BERT Model

no code implementations31 Dec 2020 Yang Zhang, Liqun Deng, Yasheng Wang

The front-end module in a typical Mandarin text-to-speech system (TTS) is composed of a long pipeline of text processing components, which requires extensive efforts to build and is prone to large accumulative model size and cascade errors.

Knowledge Distillation Language Modelling +1

Semi-supervised Cardiac Image Segmentation via Label Propagation and Style Transfer

no code implementations29 Dec 2020 Yao Zhang, Jiawei Yang, Feng Hou, Yang Liu, Yixin Wang, Jiang Tian, Cheng Zhong, Yang Zhang, Zhiqiang He

Accurate segmentation of cardiac structures can assist doctors to diagnose diseases, and to improve treatment planning, which is highly demanded in the clinical practice.

Semantic Segmentation Style Transfer

Peierls transition, ferroelectricity, and spin-singlet formation in the monolayer VOI$_2$

no code implementations24 Dec 2020 Yang Zhang, Ling-Fang Lin, Adriana Moreo, Gonzalo Alvarez, Elbio Dagotto

Our phonon calculations indicate that the orthorhombic $Pmm2$ FE-II phase is the most likely ground state, involving a ferroelectric distortion along the $a$-axis and V-V dimerization along the $b$-axis.

Strongly Correlated Electrons

Mention Extraction and Linking for SQL Query Generation

no code implementations EMNLP 2020 Jianqiang Ma, Zeyu Yan, Shuai Pang, Yang Zhang, Jianping Shen

On the WikiSQL benchmark, state-of-the-art text-to-SQL systems typically take a slot-filling approach by building several dedicated models for each type of slots.

Slot Filling Text-To-Sql

The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models

1 code implementation CVPR 2021 Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang

We extend the scope of LTH and question whether matching subnetworks still exist in pre-trained computer vision models, that enjoy the same downstream transfer performance.

FASTMATCH: Accelerating the Inference of BERT-based Text Matching

no code implementations COLING 2020 Shuai Pang, Jianqiang Ma, Zeyu Yan, Yang Zhang, Jianping Shen

Recently, pre-trained language models such as BERT have shown state-of-the-art accuracies in text matching.

Text Matching

SQL Generation via Machine Reading Comprehension

1 code implementation COLING 2020 Zeyu Yan, Jianqiang Ma, Yang Zhang, Jianping Shen

Text-to-SQL systems offers natural language interfaces to databases, which can automatically generates SQL queries given natural language questions.

Machine Reading Comprehension Question Answering +2

Speech Denoising with Auditory Models

1 code implementation21 Nov 2020 Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform.

Denoising Speech Denoising +1

Orbital ordering in the layered perovskite material CsVF$_4$

no code implementations21 Nov 2020 Ling-Fang Lin, Nitin Kaushal, Yang Zhang, Adriana Moreo, Elbio Dagotto

We show that this degeneracy is broken and a novel $d_{yz}$/$d_{xz}$ staggered orbital pattern is here predicted by both the first-principles and Hubbard model calculations.

Strongly Correlated Electrons

Dynamic latency speech recognition with asynchronous revision

no code implementations3 Nov 2020 Mingkun Huang, Meng Cai, Jun Zhang, Yang Zhang, Yongbin You, Yi He, Zejun Ma

In this work we propose an inference technique, asynchronous revision, to unify streaming and non-streaming speech recognition models.

Speech Recognition

Improving RNN transducer with normalized jointer network

no code implementations3 Nov 2020 Mingkun Huang, Jun Zhang, Meng Cai, Yang Zhang, Jiali Yao, Yongbin You, Yi He, Zejun Ma

In this work, we analyze the cause of the huge gradient variance in RNN-T training and proposed a new \textit{normalized jointer network} to overcome it.

Speech Recognition

Squeezing value of cross-domain labels: a decoupled scoring approach for speaker verification

no code implementations27 Oct 2020 Lantian Li, Yang Zhang, Jiawen Kang, Thomas Fang Zheng, Dong Wang

Domain mismatch often occurs in real applications and causes serious performance reduction on speaker verification systems.

Speaker Verification

Deep generative factorization for speech signal

no code implementations27 Oct 2020 Haoran Sun, Lantian Li, Yunqi Cai, Yang Zhang, Thomas Fang Zheng, Dong Wang

Various information factors are blended in speech signals, which forms the primary difficulty for most speech information processing tasks.

Double-Uncertainty Weighted Method for Semi-supervised Learning

no code implementations19 Oct 2020 Yixin Wang, Yao Zhang, Jiang Tian, Cheng Zhong, Zhongchao shi, Yang Zhang, Zhiqiang He

We train the teacher model using Bayesian deep learning to obtain double-uncertainty, i. e. segmentation uncertainty and feature uncertainty.

BioMegatron: Larger Biomedical Domain Language Model

1 code implementation EMNLP 2020 Hoo-chang Shin, Yang Zhang, Evelina Bakhturina, Raul Puri, Mostofa Patwary, Mohammad Shoeybi, Raghav Mani

There has been an influx of biomedical domain-specific language models, showing language models pre-trained on biomedical text perform better on biomedical domain benchmarks than those trained on general domain text corpora such as Wikipedia and Books.

Language Modelling Named Entity Recognition +2

Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks

no code implementations7 Oct 2020 Ahmed Salem, Michael Backes, Yang Zhang

In this paper, we present the first triggerless backdoor attack against deep neural networks, where the adversary does not need to modify the input for triggering the backdoor.

Dual Attention Model for Citation Recommendation

no code implementations COLING 2020 Yang Zhang, Qiang Ma

For example, they do not consider the section of the paper that the user is writing and for which they need to find a citation, the relatedness between the words in the local context (the text span that describes a citation), or the importance on each word from the local context.

Citation Recommendation

Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning

no code implementations10 Sep 2020 Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang

One major privacy attack in this domain is membership inference, where an adversary aims to determine whether a target data sample is part of the training set of a target ML model.

Transfer Learning

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection

no code implementations19 Aug 2020 Shengnan Hu, Yang Zhang, Sumit Laha, Ankit Sharma, Hassan Foroosh

Deep neural network based object detection hasbecome the cornerstone of many real-world applications.

Object Detection

Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

no code implementations10 Aug 2020 Jiawen Kang, Zehui Xiong, Chunxiao Jiang, Yi Liu, Song Guo, Yang Zhang, Dusit Niyato, Cyril Leung, Chunyan Miao

This framework can achieve scalable and flexible decentralized FEL by individually manage local model updates or model sharing records for performance isolation.

Cryptography and Security

Membership Leakage in Label-Only Exposures

no code implementations30 Jul 2020 Zheng Li, Yang Zhang

However, recent research has shown that ML models are vulnerable to attacks against their training data.

Face Recognition Inference Attack

PP-YOLO: An Effective and Efficient Implementation of Object Detector

5 code implementations23 Jul 2020 Xiang Long, Kaipeng Deng, Guanzhong Wang, Yang Zhang, Qingqing Dang, Yuan Gao, Hui Shen, Jianguo Ren, Shumin Han, Errui Ding, Shilei Wen

We mainly try to combine various existing tricks that almost not increase the number of model parameters and FLOPs, to achieve the goal of improving the accuracy of detector as much as possible while ensuring that the speed is almost unchanged.

Object Detection

Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach

no code implementations19 Jul 2020 Yi Liu, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain

Third, to adapt the proposed framework to the timeliness of industrial anomaly detection, we propose a gradient compression mechanism based on Top-\textit{k} selection to improve communication efficiency.

Anomaly Detection Federated Learning +1

Generating Visually Aligned Sound from Videos

1 code implementation14 Jul 2020 Peihao Chen, Yang Zhang, Mingkui Tan, Hongdong Xiao, Deng Huang, Chuang Gan

During testing, the audio forwarding regularizer is removed to ensure that REGNET can produce purely aligned sound only from visual features.

Cognitive Radio Network Throughput Maximization with Deep Reinforcement Learning

no code implementations7 Jul 2020 Kevin Shen Hoong Ong, Yang Zhang, Dusit Niyato

In this paper, deep reinforcement learning is proposed to overcome the mentioned shortcomings and allow a wireless gateway to derive an optimal policy to maximize network throughput.

Modality-Agnostic Attention Fusion for visual search with text feedback

2 code implementations30 Jun 2020 Eric Dodds, Jack Culpepper, Simao Herdade, Yang Zhang, Kofi Boakye

Image retrieval with natural language feedback offers the promise of catalog search based on fine-grained visual features that go beyond objects and binary attributes, facilitating real-world applications such as e-commerce.

Image Retrieval

Affinity Fusion Graph-based Framework for Natural Image Segmentation

2 code implementations24 Jun 2020 Yang Zhang, Moyun Liu, Jingwu He, Fei Pan, Yanwen Guo

The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.

Semantic Segmentation Superpixels

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

no code implementations1 Jun 2020 Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang

In this paper, we perform a systematic investigation of backdoor attack on NLP models, and propose BadNL, a general NLP backdoor attack framework including novel attack methods.

Image Classification

How to Retrain Recommender System? A Sequential Meta-Learning Method

1 code implementation27 May 2020 Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang

Nevertheless, normal training on new data only may easily cause overfitting and forgetting issues, since the new data is of a smaller scale and contains fewer information on long-term user preference.

Meta-Learning Recommendation Systems

FA-GANs: Facial Attractiveness Enhancement with Generative Adversarial Networks on Frontal Faces

no code implementations17 May 2020 Jingwu He, Chuan Wang, Yang Zhang, Jie Guo, Yanwen Guo

To the best of our knowledge, we are the first to enhance the facial attractiveness with GANs in both geometry and appearance aspects.

When Machine Unlearning Jeopardizes Privacy

1 code implementation5 May 2020 Min Chen, Zhikun Zhang, Tianhao Wang, Michael Backes, Mathias Humbert, Yang Zhang

More importantly, we show that our attack in multiple cases outperforms the classical membership inference attack on the original ML model, which indicates that machine unlearning can have counterproductive effects on privacy.

Inference Attack Membership Inference Attack

Stealing Links from Graph Neural Networks

no code implementations5 May 2020 Xinlei He, Jinyuan Jia, Michael Backes, Neil Zhenqiang Gong, Yang Zhang

In this work, we propose the first attacks to steal a graph from the outputs of a GNN model that is trained on the graph.

Fraud Detection Recommendation Systems

Deep Symbolic Superoptimization Without Human Knowledge

1 code implementation ICLR 2020 Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao

Deep symbolic superoptimization refers to the task of applying deep learning methods to simplify symbolic expressions.

ByteSing: A Chinese Singing Voice Synthesis System Using Duration Allocated Encoder-Decoder Acoustic Models and WaveRNN Vocoders

no code implementations23 Apr 2020 Yu Gu, Xiang Yin, Yonghui Rao, Yuan Wan, Benlai Tang, Yang Zhang, Jitong Chen, Yuxuan Wang, Zejun Ma

This paper presents ByteSing, a Chinese singing voice synthesis (SVS) system based on duration allocated Tacotron-like acoustic models and WaveRNN neural vocoders.

"Go eat a bat, Chang!": On the Emergence of Sinophobic Behavior on Web Communities in the Face of COVID-19

no code implementations8 Apr 2020 Fatemeh Tahmasbi, Leonard Schild, Chen Ling, Jeremy Blackburn, Gianluca Stringhini, Yang Zhang, Savvas Zannettou

Finally, we find interesting differences in the context in which words related to Chinese people are used on the Web before and after the COVID-19 outbreak: on Twitter we observe a shift towards blaming China for the situation, while on /pol/ we find a shift towards using more (and new) Sinophobic slurs.

Word Embeddings Social and Information Networks Computers and Society

Improved YOLOv3 Object Classification in Intelligent Transportation System

no code implementations8 Apr 2020 Yang Zhang, Changhui Hu, Xiaobo Lu

The technology of vehicle and driver detection in Intelligent Transportation System(ITS) is a hot topic in recent years.

General Classification

Adaptive Multiscale Illumination-Invariant Feature Representation for Undersampled Face Recognition

no code implementations7 Apr 2020 Yang Zhang, Changhui Hu, Xiaobo Lu

Then, the illumination level is referenced to construct the high performance LEF as well realize adaptive fusion for multiple scales LEFs for the face image, performing JLEF-feature.

Face Recognition

Deep Attentive Generative Adversarial Network for Photo-Realistic Image De-Quantization

no code implementations7 Apr 2020 Yang Zhang, Changhui Hu, Xiaobo Lu

In addition, due to the adversarial learning framework can reliably produce high quality natural images, the specified content loss as well as the adversarial loss are back-propagated to optimize the training of model.

Quantization Super-Resolution

Invariant Rationalization

1 code implementation ICML 2020 Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

Selective rationalization improves neural network interpretability by identifying a small subset of input features -- the rationale -- that best explains or supports the prediction.

Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2

no code implementations17 Mar 2020 Waleed Abdallah, Shehu AbdusSalam, Azar Ahmadov, Amine Ahriche, Gaël Alguero, Benjamin C. Allanach, Jack Y. Araz, Alexandre Arbey, Chiara Arina, Peter Athron, Emanuele Bagnaschi, Yang Bai, Michael J. Baker, Csaba Balazs, Daniele Barducci, Philip Bechtle, Aoife Bharucha, Andy Buckley, Jonathan Butterworth, Haiying Cai, Claudio Campagnari, Cari Cesarotti, Marcin Chrzaszcz, Andrea Coccaro, Eric Conte, Jonathan M. Cornell, Louie Dartmoor Corpe, Matthias Danninger, Luc Darmé, Aldo Deandrea, Nishita Desai, Barry Dillon, Caterina Doglioni, Juhi Dutta, John R. Ellis, Sebastian Ellis, Farida Fassi, Matthew Feickert, Nicolas Fernandez, Sylvain Fichet, Jernej F. Kamenik, Thomas Flacke, Benjamin Fuks, Achim Geiser, Marie-Hélène Genest, Akshay Ghalsasi, Tomas Gonzalo, Mark Goodsell, Stefania Gori, Philippe Gras, Admir Greljo, Diego Guadagnoli, Sven Heinemeyer, Lukas A. Heinrich, Jan Heisig, Deog Ki Hong, Tetiana Hryn'ova, Katri Huitu, Philip Ilten, Ahmed Ismail, Adil Jueid, Felix Kahlhoefer, Jan Kalinowski, Deepak Kar, Yevgeny Kats, Charanjit K. Khosa, Valeri Khoze, Tobias Klingl, Pyungwon Ko, Kyoungchul Kong, Wojciech Kotlarski, Michael Krämer, Sabine Kraml, Suchita Kulkarni, Anders Kvellestad, Clemens Lange, Kati Lassila-Perini, Seung J. Lee, Andre Lessa, Zhen Liu, Lara Lloret Iglesias, Jeanette M. Lorenz, Danika MacDonell, Farvah Mahmoudi, Judita Mamuzic, Andrea C. Marini, Pete Markowitz, Pablo Martinez Ruiz del Arbol, David Miller, Vasiliki Mitsou, Stefano Moretti, Marco Nardecchia, Siavash Neshatpour, Dao Thi Nhung, Per Osland, Patrick H. Owen, Orlando Panella, Alexander Pankov, Myeonghun Park, Werner Porod, Darren Price, Harrison Prosper, Are Raklev, Jürgen Reuter, Humberto Reyes-González, Thomas Rizzo, Tania Robens, Juan Rojo, Janusz A. Rosiek, Oleg Ruchayskiy, Veronica Sanz, Kai Schmidt-Hoberg, Pat Scott, Sezen Sekmen, Dipan Sengupta, Elizabeth Sexton-Kennedy, Hua-Sheng Shao, Seodong Shin, Luca Silvestrini, Ritesh Singh, Sukanya Sinha, Jory Sonneveld, Yotam Soreq, Giordon H. Stark, Tim Stefaniak, Jesse Thaler, Riccardo Torre, Emilio Torrente-Lujan, Gokhan Unel, Natascia Vignaroli, Wolfgang Waltenberger, Nicholas Wardle, Graeme Watt, Georg Weiglein, Martin J. White, Sophie L. Williamson, Jonas Wittbrodt, Lei Wu, Stefan Wunsch, Tevong You, Yang Zhang, José Zurita

We report on the status of efforts to improve the reinterpretation of searches and measurements at the LHC in terms of models for new physics, in the context of the LHC Reinterpretation Forum.

High Energy Physics - Phenomenology High Energy Physics - Experiment

Dynamic Backdoor Attacks Against Machine Learning Models

no code implementations7 Mar 2020 Ahmed Salem, Rui Wen, Michael Backes, Shiqing Ma, Yang Zhang

In particular, BaN and c-BaN are the first two schemes that algorithmically generate triggers, which rely on a novel generative network.

Everything About You: A Multimodal Approach towards Friendship Inference in Online Social Networks

1 code implementation2 Mar 2020 Tahleen Rahman, Mario Fritz, Michael Backes, Yang Zhang

Most previous works in privacy of Online Social Networks (OSN) focus on a restricted scenario of using one type of information to infer another type of information or using only static profile data such as username, profile picture or home location.

Social and Information Networks

Copy and Paste GAN: Face Hallucination from Shaded Thumbnails

no code implementations CVPR 2020 Yang Zhang, Ivor Tsang, Yawei Luo, Changhui Hu, Xiaobo Lu, Xin Yu

This paper proposes a Copy and Paste Generative Adversarial Network (CPGAN) to recover authentic high-resolution (HR) face images while compensating for low and non-uniform illumination.

Face Hallucination

Face Hallucination with Finishing Touches

no code implementations9 Feb 2020 Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu

The coarse-level FHnet generates a frontal coarse HR face and then the fine-level FHnet makes use of the facial component appearance prior, i. e., fine-grained facial components, to attain a frontal HR face image with authentic details.

Face Hallucination Face Recognition

Protein structure and sequence re-analysis of 2019-nCoV genome does not indicate snakes as its intermediate host or the unique similarity between its spike protein insertions and HIV-1

no code implementations8 Feb 2020 Chengxin Zhang, Wei Zheng, Xiaoqiang Huang, Eric W. Bell, Xiaogen Zhou, Yang Zhang

As the infection of 2019-nCoV coronavirus is quickly developing into a global pneumonia epidemic, careful analysis of its transmission and cellular mechanisms is sorely needed.

Citation Recommendations Considering Content and Structural Context Embedding

no code implementations8 Jan 2020 Yang Zhang, Qiang Ma

The number of academic papers being published is increasing exponentially in recent years, and recommending adequate citations to assist researchers in writing papers is a non-trivial task.

A hybrid text normalization system using multi-head self-attention for mandarin

no code implementations11 Nov 2019 Junhui Zhang, Junjie Pan, Xiang Yin, Chen Li, Shichao Liu, Yang Zhang, Yuxuan Wang, Zejun Ma

In this paper, we propose a hybrid text normalization system using multi-head self-attention.

A unified sequence-to-sequence front-end model for Mandarin text-to-speech synthesis

no code implementations11 Nov 2019 Junjie Pan, Xiang Yin, Zhiling Zhang, Shichao Liu, Yang Zhang, Zejun Ma, Yuxuan Wang

In Mandarin text-to-speech (TTS) system, the front-end text processing module significantly influences the intelligibility and naturalness of synthesized speech.

Polyphone disambiguation Speech Synthesis +1

Semantic Feature Attention Network for Liver Tumor Segmentation in Large-scale CT database

no code implementations1 Nov 2019 Yao Zhang, Cheng Zhong, Yang Zhang, Zhongchao shi, Zhiqiang He

In the SFAN, a Semantic Attention Transmission (SAT) module is designed to select discriminative low-level localization details with the guidance of neighboring high-level semantic information.

Computed Tomography (CT) Tumor Segmentation

Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control

2 code implementations IJCNLP 2019 Mo Yu, Shiyu Chang, Yang Zhang, Tommi S. Jaakkola

Moreover, we explicitly control the rationale complement via an adversary so as not to leave any useful information out of the selection.

A Game Theoretic Approach to Class-wise Selective Rationalization

1 code implementation NeurIPS 2019 Shiyu Chang, Yang Zhang, Mo Yu, Tommi S. Jaakkola

Selection of input features such as relevant pieces of text has become a common technique of highlighting how complex neural predictors operate.

Sentiment Analysis

Reliable Federated Learning for Mobile Networks

no code implementations14 Oct 2019 Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, Mohsen Guizani

Based on this metric, a reliable worker selection scheme is proposed for federated learning tasks.

Cryptography and Security

An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack

no code implementations ICLR 2019 Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian

The second paradigm, called the zero-confidence attack, finds the smallest perturbation needed to cause mis-classification, also known as the margin of an input feature.

Adversarial Attack

Continuous Convolutional Neural Network forNonuniform Time Series

no code implementations25 Sep 2019 Hui Shi, Yang Zhang, Hao Wu, Shiyu Chang, Kaizhi Qian, Mark Hasegawa-Johnson, Jishen Zhao

Convolutional neural network (CNN) for time series data implicitly assumes that the data are uniformly sampled, whereas many event-based and multi-modal data are nonuniform or have heterogeneous sampling rates.

Time Series

TWO-STEP UNCERTAINTY NETWORK FOR TASKDRIVEN SENSOR PLACEMENT

no code implementations25 Sep 2019 Yangyang Sun, Yang Zhang, Hassan Foroosh, Shuo Pang

Optimal sensor placement achieves the minimal cost of sensors while obtaining the prespecified objectives.

A System-Level Solution for Low-Power Object Detection

no code implementations24 Sep 2019 Fanrong Li, Zitao Mo, Peisong Wang, Zejian Liu, Jiayun Zhang, Gang Li, Qinghao Hu, Xiangyu He, Cong Leng, Yang Zhang, Jian Cheng

As a case study, we evaluate our object detection system on a real-world surveillance video with input size of 512x512, and it turns out that the system can achieve an inference speed of 18 fps at the cost of 6. 9W (with display) with an mAP of 66. 4 verified on the PASCAL VOC 2012 dataset.

Object Detection Quantization

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

2 code implementations23 Sep 2019 Jinyuan Jia, Ahmed Salem, Michael Backes, Yang Zhang, Neil Zhenqiang Gong

Specifically, given a black-box access to the target classifier, the attacker trains a binary classifier, which takes a data sample's confidence score vector predicted by the target classifier as an input and predicts the data sample to be a member or non-member of the target classifier's training dataset.

Inference Attack Membership Inference Attack

Towards Interpreting Recurrent Neural Networks through Probabilistic Abstraction

1 code implementation22 Sep 2019 Guoliang Dong, Jingyi Wang, Jun Sun, Yang Zhang, Xinyu Wang, Ting Dai, Jin Song Dong, Xingen Wang

In this work, we propose an approach to extract probabilistic automata for interpreting an important class of neural networks, i. e., recurrent neural networks.

Machine Translation Object Recognition

An Online Reinforcement Learning Approach to Quality-Cost-Aware Task Allocation for Multi-Attribute Social Sensing

no code implementations11 Sep 2019 Yang Zhang, Daniel Zhang, Nathan Vance, Dong Wang

Social sensing has emerged as a new sensing paradigm where humans (or devices on their behalf) collectively report measurements about the physical world.

A Charge-Density-Wave Topological Semimetal

no code implementations9 Sep 2019 Wujun Shi, Benjamin J. Wieder, H. L. Meyerheim, Yan Sun, Yang Zhang, Yiwei Li, Lei Shen, Yanpeng Qi, Lexian Yang, Jagannath Jena, Peter Werner, Klaus Koepernik, Stuart Parkin, Yulin Chen, Claudia Felser, B. Andrei Bernevig, Zhijun Wang

We here demonstrate that the room-temperature phase of (TaSe$_4$)$_2$I is a Weyl semimetal with 24 pairs of Weyl nodes.

Band Gap Materials Science Strongly Correlated Electrons

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

1 code implementation9 Sep 2019 Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz

In addition, we propose the first generic attack model that can be instantiated in a large range of settings and is applicable to various kinds of deep generative models.

Inference Attack Membership Inference Attack

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks

no code implementations24 Jul 2019 Jingyuan Wang, Yang Zhang, Ke Tang, Junjie Wu, Zhang Xiong

Recent years have witnessed the successful marriage of finance innovations and AI techniques in various finance applications including quantitative trading (QT).

Deep Attention Selection bias

$t$-$k$-means: A Robust and Stable $k$-means Variant

1 code implementation17 Jul 2019 Yiming Li, Yang Zhang, Qingtao Tang, Weipeng Huang, Yong Jiang, Shu-Tao Xia

$k$-means algorithm is one of the most classical clustering methods, which has been widely and successfully used in signal processing.

Evidence for $Z_{c}^{\pm}$ decays into the $ρ^{\pm} η_{c}$ final state

no code implementations3 Jun 2019 M. Ablikim, M. N. Achasov, S. Ahmed, M. Albrecht, M. Alekseev, A. Amoroso, F. F. An, Q. An, Y. Bai, O. Bakina, R. Baldini Ferroli, Y. Ban, K. Begzsuren, D. W. Bennett, J. V. Bennett, N. Berger, M. Bertani, D. Bettoni, F. Bianchi, E. Boger, I. Boyko, R. A. Briere, H. Cai, X. Cai, A. Calcaterra, G. F. Cao, S. A. Cetin, J. Chai, J. F. Chang, W. L. Chang, G. Chelkov, G. Chen, H. S. Chen, J. C. Chen, M. L. Chen, P. L. Chen, S. J. Chen, X. R. Chen, Y. B. Chen, W. Cheng, X. K. Chu, G. Cibinetto, F. Cossio, H. L. Dai, J. P. Dai, A. Dbeyssi, D. Dedovich, Z. Y. Deng, A. Denig, I. Denysenko, M. Destefanis, F. DeMori, Y. Ding, C. Dong, J. Dong, L. Y. Dong, M. Y. Dong, Z. L. Dou, S. X. Du, P. F. Duan, J. Fang, S. S. Fang, Y. Fang, R. Farinelli, L. Fava, F. Feldbauer, G. Felici, C. Q. Feng, M. Fritsch, C. D. Fu, Q. Gao, X. L. Gao, Y. Gao, Y. G. Gao, Z. Gao, B. Garillon, I. Garzia, A. Gilman, K. Goetzen, L. Gong, W. X. Gong, W. Gradl, M. Greco, L. M. Gu, M. H. Gu, Y. T. Gu, A. Q. Guo, L. B. Guo, R. P. Guo, Y. P. Guo, A. Guskov, Z. Haddadi, S. Han, X. Q. Hao, F. A. Harris, K. L. He, F. H. Heinsius, T. Held, Y. K. Heng, Z. L. Hou, H. M. Hu, J. F. Hu, T. Hu, Y. Hu, G. S. Huang, J. S. Huang, X. T. Huang, X. Z. Huang, Z. L. Huang, T. Hussain, W. Ikegami Andersson, M. Irshad, Q. Ji, Q. P. Ji, X. B. Ji, X. L. Ji, H. L. Jiang, X. S. Jiang, X. Y. Jiang, J. B. Jiao, Z. Jiao, D. P. Jin, S. Jin, Y. Jin, T. Johansson, A. Julin, N. Kalantar-Nayestanaki, X. S. Kang, M. Kavatsyuk, B. C. Ke, I. K. Keshk, T. Khan, A. Khoukaz, P. Kiese, R. Kiuchi, R. Kliemt, L. Koch, O. B. Kolcu, B. Kopf, M. Kuemmel, M. Kuessner, A. Kupsc, M. Kurth, W. Kühn, J. S. Lange, P. Larin, L. Lavezzi, S. Leiber, H. Leithoff, C. Li, Cheng Li, D. M. Li, F. Li, F. Y. Li, G. Li, H. B. Li, H. J. Li, J. C. Li, J. W. Li, K. J. Li, Kang Li, Ke Li, Lei LI, P. L. Li, P. R. Li, Q. Y. Li, T. Li, W. D. Li, W. G. Li, X. L. Li, X. N. Li, X. Q. Li, Z. B. Li, H. Liang, Y. F. Liang, Y. T. Liang, G. R. Liao, L. Z. Liao, J. Libby, C. X. Lin, D. X. Lin, B. Liu, B. J. Liu, C. X. Liu, D. Liu, D. Y. Liu, F. H. Liu, Fang Liu, Feng Liu, H. B. Liu, H. L. Liu, H. M. Liu, Huanhuan Liu, Huihui Liu, J. B. Liu, J. Y. Liu, K. Y. Liu, Ke Liu, L. D. Liu, Q. Liu, S. B. Liu, X. Liu, Y. B. Liu, Z. A. Liu, Zhiqing Liu, Y. F. Long, X. C. Lou, H. J. Lu, J. G. Lu, Y. Lu, Y. P. Lu, C. L. Luo, M. X. Luo, P. W. Luo, T. Luo, X. L. Luo, S. Lusso, X. R. Lyu, F. C. Ma, H. L. Ma, L. L. Ma, M. M. Ma, Q. M. Ma, X. N. Ma, X. Y. Ma, Y. M. Ma, F. E. Maas, M. Maggiora, S. Maldaner, Q. A. Malik, A. Mangoni, Y. J. Mao, Z. P. Mao, S. Marcello, Z. X. Meng, J. G. Messchendorp, G. Mezzadri, J. Min, T. J. Min, R. E. Mitchell, X. H. Mo, Y. J. Mo, C. Morales Morales, N. Yu. Muchnoi, H. Muramatsu, A. Mustafa, S. Nakhoul, Y. Nefedov, F. Nerling, I. B. Nikolaev, Z. Ning, S. Nisar, S. L. Niu, X. Y. Niu, S. L. Olsen, Q. Ouyang, S. Pacetti, Y. Pan, M. Papenbrock, P. Patteri, M. Pelizaeus, J. Pellegrino, H. P. Peng, Z. Y. Peng, K. Peters, J. Pettersson, J. L. Ping, R. G. Ping, A. Pitka, R. Poling, V. Prasad, H. R. Qi, M. Qi, T. Y. Qi, S. Qian, C. F. Qiao, N. Qin, X. S. Qin, Z. H. Qin, J. F. Qiu, S. Q. Qu, K. H. Rashid, C. F. Redmer, M. Richter, M. Ripka, A. Rivetti, M. Rolo, G. Rong, Ch. Rosner, A. Sarantsev, M. Savrié, K. Schoenning, W. Shan, X. Y. Shan, M. Shao, C. P. Shen, P. X. Shen, X. Y. Shen, H. Y. Sheng, X. Shi, J. J. Song, W. M. Song, X. Y. Song, S. Sosio, C. Sowa, S. Spataro, F. F. Sui, G. X. Sun, J. F. Sun, L. Sun, S. S. Sun, X. H. Sun, Y. J. Sun, Y. K Sun, Y. Z. Sun, Z. J. Sun, Z. T. Sun, Y. T Tan, C. J. Tang, G. Y. Tang, X. Tang, M. Tiemens, B. Tsednee, I. Uman, B. Wang, B. L. Wang, C. W. Wang, D. Wang, D. Y. Wang, Dan Wang, H. H. Wang, K. Wang, L. L. Wang, L. S. Wang, M. Wang, Meng Wang, P. Wang, P. L. Wang, W. P. Wang, X. F. Wang, Y. Wang, Y. F. Wang, Z. Wang, Z. G. Wang, Z. Y. Wang, Zongyuan Wang, T. Weber, D. H. Wei, P. Weidenkaff, S. P. Wen, U. Wiedner, M. Wolke, L. H. Wu, L. J. Wu, Z. Wu, L. Xia, X. Xia, Y. Xia, D. Xiao, Y. J. Xiao, Z. J. Xiao, Y. G. Xie, Y. H. Xie, X. A. Xiong, Q. L. Xiu, G. F. Xu, J. J. Xu, L. Xu, Q. J. Xu, X. P. Xu, F. Yan, L. Yan, W. B. Yan, W. C. Yan, Y. H. Yan, H. J. Yang, H. X. Yang, L. Yang, R. X. Yang, S. L. Yang, Y. H. Yang, Y. X. Yang, Yifan Yang, Z. Q. Yang, M. Ye, M. H. Ye, J. H. Yin, Z. Y. You, B. X. Yu, C. X. Yu, J. S. Yu, C. Z. Yuan, Y. Yuan, A. Yuncu, A. A. Zafar, Y. Zeng, B. X. Zhang, B. Y. Zhang, C. C. Zhang, D. H. Zhang, H. H. Zhang, H. Y. Zhang, J. Zhang, J. L. Zhang, J. Q. Zhang, J. W. Zhang, J. Y. Zhang, J. Z. Zhang, K. Zhang, L. Zhang, S. F. Zhang, T. J. Zhang, X. Y. Zhang, Y. Zhang, Y. H. Zhang, Y. T. Zhang, Yang Zhang, YaoZ hang, Yu Zhang, Z. H. Zhang, Z. P. Zhang, Z. Y. Zhang, G. Zhao, J. W. Zhao, J. Y. Zhao, J. Z. Zhao, Lei Zhao, Ling Zhao, M. G. Zhao, Q. Zhao, S. J. Zhao, T. C. Zhao, Y. B. Zhao, Z. G. Zhao, A. Zhemchugov, B. Zheng, J. P. Zheng, W. J. Zheng, Y. H. Zheng, B. Zhong, L. Zhou, Q. Zhou, X. Zhou, X. K. Zhou, X. R. Zhou, X. Y. Zhou, Xiaoyu Zhou, Xu Zhou, A. N. Zhu, J. Zhu, K. Zhu, K. J. Zhu, S. Zhu, S. H. Zhu, X. L. Zhu, Y. C. Zhu, Y. S. Zhu, Z. A. Zhu, J. Zhuang, B. S. Zou, J. H. Zou

We study $e^{+}e^{-}$ collisions with a $\pi^{+}\pi^{-}\pi^{0}\eta_{c}$ final state using data samples collected with the BESIII detector at center-of-mass energies $\sqrt{s}=4. 226$, $4. 258$, $4. 358$, $4. 416$, and $4. 600$ GeV.

High Energy Physics - Experiment

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

9 code implementations14 May 2019 Kaizhi Qian, Yang Zhang, Shiyu Chang, Xuesong Yang, Mark Hasegawa-Johnson

On the other hand, CVAE training is simple but does not come with the distribution-matching property of a GAN.

Style Transfer Voice Conversion

Language in Our Time: An Empirical Analysis of Hashtags

no code implementations11 May 2019 Yang Zhang

Second, we observe that a non-negligible proportion of hashtags exhibit large semantic displacement.

Graph Embedding

CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild

1 code implementation ICLR 2019 Yang Zhang, Hassan Foroosh, Philip David, Boqing Gong

In particular, we learn a camouflage pattern to hide vehicles from being detected by state-of-the-art convolutional neural network based detectors.

Adversarial Attack

VAE-based regularization for deep speaker embedding

no code implementations7 Apr 2019 Yang Zhang, Lantian Li, Dong Wang

Deep speaker embedding has achieved state-of-the-art performance in speaker recognition.

Speaker Recognition

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

no code implementations1 Apr 2019 Ahmed Salem, Apratim Bhattacharya, Michael Backes, Mario Fritz, Yang Zhang

As data generation is a continuous process, this leads to ML model owners updating their models frequently with newly-collected data in an online learning scenario.

Based on Graph-VAE Model to Predict Student's Score

no code implementations8 Mar 2019 Yang Zhang, Mingming Lu

In this paper, the graph neural network matrix filling model (Graph-VAE) based on deep learning can automatically extract features without a large amount of prior knowledge.

Improving Device-Edge Cooperative Inference of Deep Learning via 2-Step Pruning

1 code implementation8 Mar 2019 Wenqi Shi, Yunzhong Hou, Sheng Zhou, Zhisheng Niu, Yang Zhang, Lu Geng

Since the output data size of a DNN layer can be larger than that of the raw data, offloading intermediate data between layers can suffer from high transmission latency under limited wireless bandwidth.

How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN

1 code implementation5 Mar 2019 Zheng Li, Chengyu Hu, Yang Zhang, Shanqing Guo

To fill these gaps, in this paper, we propose a novel intellectual property protection (IPP) framework based on blind-watermark for watermarking deep neural networks that meet the requirements of security and feasibility.

Machine Translation

Optimizing seed inputs in fuzzing with machine learning

no code implementations7 Feb 2019 Liang Cheng, Yang Zhang, Yi Zhang, Chen Wu, Zhangtan Li, Yu Fu, Haisheng Li

Our experiments on a set of widely used PDF viewers demonstrate that the improved seed inputs produced by our framework could significantly increase the code coverage of the target program and the likelihood of detecting program crashes.

Cryptography and Security

Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network

no code implementations2 Nov 2018 Xiaoyu Wang, Cailian Chen, Yang Min, Jianping He, Bo Yang, Yang Zhang

Traffic prediction is a fundamental and vital task in Intelligence Transportation System (ITS), but it is very challenging to get high accuracy while containing low computational complexity due to the spatiotemporal characteristics of traffic flow, especially under the metropolitan circumstances.

Traffic Prediction