Search Results for author: Yang Liu

Found 1091 papers, 379 papers with code

Branch and Bound Algorithm for Dependency Parsing with Non-local Features

no code implementations TACL 2013 Xian Qian, Yang Liu

Graph based dependency parsing is inefficient when handling non-local features due to high computational complexity of inference.

Dependency Parsing

Source attack of decoy-state quantum key distribution using phase information

no code implementations9 Apr 2013 Yan-Lin Tang, Hua-Lei Yin, Xiongfeng Ma, Chi-Hang Fred Fung, Yang Liu, Hai-Lin Yong, Teng-Yun Chen, Cheng-Zhi Peng, Zeng-Bing Chen, Jian-Wei Pan

Specifically, by implementing a linear-optics unambiguous-state-discrimination measurement, we show that the security of a system without phase randomization --- which is a step assumed in conventional security analyses but sometimes neglected in practice --- can be compromised.

Quantum Physics

Weakly-Supervised Dual Clustering for Image Semantic Segmentation

no code implementations CVPR 2013 Yang Liu, Jing Liu, Zechao Li, Jinhui Tang, Hanqing Lu

In this paper, we propose a novel Weakly-Supervised Dual Clustering (WSDC) approach for image semantic segmentation with image-level labels, i. e., collaboratively performing image segmentation and tag alignment with those regions.

Clustering Image Segmentation +4

Group Learning and Opinion Diffusion in a Broadcast Network

no code implementations14 Sep 2013 Yang Liu, Mingyan Liu

We analyze the following group learning problem in the context of opinion diffusion: Consider a network with $M$ users, each facing $N$ options.

2-Slave Dual Decomposition for Generalized Higher Order CRFs

no code implementations TACL 2014 Xian Qian, Yang Liu

We show that the decoding problem in generalized Higher Order Conditional Random Fields (CRFs) can be decomposed into two parts: one is a tree labeling problem that can be solved in linear time using dynamic programming; the other is a supermodular quadratic pseudo-Boolean maximization problem, which can be solved in cubic time using a minimum cut algorithm.

named-entity-recognition Named Entity Recognition +3

A bio-inspired algorithm for fuzzy user equilibrium problem by aid of Physarum Polycephalum

no code implementations9 Jun 2014 Yang Liu, Xiaoge Zhang, Yong Deng

The user equilibrium in traffic assignment problem is based on the fact that travelers choose the minimum-cost path between every origin-destination pair and on the assumption that such a behavior will lead to an equilibrium of the traffic network.

Robust OS-ELM with a novel selective ensemble based on particle swarm optimization

no code implementations13 Aug 2014 Yang Liu, Bo He, Diya Dong, Yue Shen, Tianhong Yan, Rui Nian, Amaury Lendase

Second, an adaptive selective ensemble framework for online learning is designed to balance the robustness and complexity of the algorithm.

General Classification

Contrastive Unsupervised Word Alignment with Non-Local Features

no code implementations8 Oct 2014 Yang Liu, Maosong Sun

However, a major challenge still remains: it is intractable to calculate the expectations of non-local features that are critical for capturing the divergence between natural languages.

Word Alignment

Detect2Rank : Combining Object Detectors Using Learning to Rank

no code implementations26 Dec 2014 Sezer Karaoglu, Yang Liu, Theo Gevers

Experiments on the PASCAL VOC07 and VOC10 datasets show that the proposed method significantly outperforms single object detectors, DPM (8. 4%), CN (6. 8%) and EES (17. 0%) on VOC07 and DPM (6. 5%), CN (5. 5%) and EES (16. 2%) on VOC10.

Learning-To-Rank Object +2

An Online Approach to Dynamic Channel Access and Transmission Scheduling

no code implementations4 Apr 2015 Yang Liu, Mingyan Liu

A natural remedy is a learning framework, which has also been extensively studied in the same context, but a typical learning algorithm in this literature seeks only the best static policy, with performance measured by weak regret, rather than learning a good dynamic channel access policy.

Scheduling

Modeling Coverage for Neural Machine Translation

3 code implementations ACL 2016 Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, Hang Li

Attention mechanism has enhanced state-of-the-art Neural Machine Translation (NMT) by jointly learning to align and translate.

Machine Translation NMT +1

Implicit Discourse Relation Classification via Multi-Task Neural Networks

no code implementations9 Mar 2016 Yang Liu, Sujian Li, Xiaodong Zhang, Zhifang Sui

Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser.

Classification General Classification +3

Learning to Incentivize: Eliciting Effort via Output Agreement

no code implementations17 Apr 2016 Yang Liu, Yi-Ling Chen

In crowdsourcing when there is a lack of verification for contributed answers, output agreement mechanisms are often used to incentivize participants to provide truthful answers when the correct answer is hold by the majority.

A Bilingual Discourse Corpus and Its Applications

no code implementations LREC 2016 Yang Liu, Jiajun Zhang, Cheng-qing Zong, Yating Yang, Xi Zhou

Existing discourse research only focuses on the monolingual languages and the inconsistency between languages limits the power of the discourse theory in multilingual applications such as machine translation.

Machine Translation Translation

Latent Bi-constraint SVM for Video-based Object Recognition

no code implementations31 May 2016 Yang Liu, Minh Hoai, Mang Shao, Tae-Kyun Kim

LBSVM is based on Structured-Output SVM, but extends it to handle noisy video data and ensure consistency of the output decision throughout time.

Object Object Recognition

Semi-Supervised Learning for Neural Machine Translation

no code implementations ACL 2016 Yong Cheng, Wei Xu, Zhongjun He, wei he, Hua Wu, Maosong Sun, Yang Liu

While end-to-end neural machine translation (NMT) has made remarkable progress recently, NMT systems only rely on parallel corpora for parameter estimation.

Machine Translation NMT +1

To Swap or Not to Swap? Exploiting Dependency Word Pairs for Reordering in Statistical Machine Translation

no code implementations3 Aug 2016 Christian Hadiwinoto, Yang Liu, Hwee Tou Ng

Reordering poses a major challenge in machine translation (MT) between two languages with significant differences in word order.

Machine Translation Sentence +1

Context Gates for Neural Machine Translation

2 code implementations TACL 2017 Zhaopeng Tu, Yang Liu, Zhengdong Lu, Xiaohua Liu, Hang Li

In neural machine translation (NMT), generation of a target word depends on both source and target contexts.

Machine Translation NMT +1

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

no code implementations EMNLP 2016 Yang Liu, Sujian Li

Recognizing implicit discourse relations is a challenging but important task in the field of Natural Language Processing.

Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation

no code implementations25 Sep 2016 Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu

Neural machine translation (NMT) heavily relies on word-level modelling to learn semantic representations of input sentences.

Machine Translation NMT +2

Chinese Event Extraction Using DeepNeural Network with Word Embedding

no code implementations4 Oct 2016 Yandi Xia, Yang Liu

A lot of prior work on event extraction has exploited a variety of features to represent events.

Event Extraction Feature Engineering +1

Learning to Play in a Day: Faster Deep Reinforcement Learning by Optimality Tightening

1 code implementation5 Nov 2016 Frank S. He, Yang Liu, Alexander G. Schwing, Jian Peng

We propose a novel training algorithm for reinforcement learning which combines the strength of deep Q-learning with a constrained optimization approach to tighten optimality and encourage faster reward propagation.

Atari Games Q-Learning +2

Neural Machine Translation with Reconstruction

1 code implementation7 Nov 2016 Zhaopeng Tu, Yang Liu, Lifeng Shang, Xiaohua Liu, Hang Li

Although end-to-end Neural Machine Translation (NMT) has achieved remarkable progress in the past two years, it suffers from a major drawback: translations generated by NMT systems often lack of adequacy.

Machine Translation NMT +2

Mesh Denoising via Cascaded Normal Regression

no code implementations15 Nov 2016 Peng-Shuai Wang, Yang Liu, Xin Tong

At runtime, our method applies the learned cascaded regression functions to a noisy input mesh and reconstructs the denoised mesh from the output facet normals.

Denoising regression

Neural Machine Translation with Pivot Languages

no code implementations15 Nov 2016 Yong Cheng, Yang Liu, Qian Yang, Maosong Sun, Wei Xu

While recent neural machine translation approaches have delivered state-of-the-art performance for resource-rich language pairs, they suffer from the data scarcity problem for resource-scarce language pairs.

Machine Translation Translation

Exploiting Unlabeled Data for Neural Grammatical Error Detection

no code implementations28 Nov 2016 Zhuoran Liu, Yang Liu

Identifying and correcting grammatical errors in the text written by non-native writers has received increasing attention in recent years.

Binary Classification General Classification +1

A Bandit Framework for Strategic Regression

no code implementations NeurIPS 2016 Yang Liu, Yi-Ling Chen

We propose a Strategic Regression-Upper Confidence Bound (SR-UCB) framework, an UCB-style index combined with a simple payment rule, where the index of a worker approximates the quality of his past contributions and is used by the learner to determine whether the worker receives future work.

regression

Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover's Distance Regularization

no code implementations COLING 2016 Meng Zhang, Yang Liu, Huanbo Luan, Yiqun Liu, Maosong Sun

Being able to induce word translations from non-parallel data is often a prerequisite for cross-lingual processing in resource-scarce languages and domains.

Translation Word Alignment +1

High-Assurance Separation Kernels: A Survey on Formal Methods

no code implementations6 Jan 2017 Yongwang Zhao, David Sanan, Fuyuan Zhang, Yang Liu

In accordance with the analytical framework, a comprehensive analysis and discussion of related work are presented.

Software Engineering

A Joint Framework for Argumentative Text Analysis Incorporating Domain Knowledge

no code implementations19 Jan 2017 Zhongyu Wei, Chen Li, Yang Liu

For argumentation mining, there are several sub-tasks such as argumentation component type classification, relation classification.

General Classification Relation +1

A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization

no code implementations6 Apr 2017 Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu

Most of the existing malware detection approaches use only one (or a selected few) of the aforementioned feature sets which prevent them from detecting a vast majority of attacks.

Android Malware Detection Malware Detection +1

Stein Variational Policy Gradient

no code implementations7 Apr 2017 Yang Liu, Prajit Ramachandran, Qiang Liu, Jian Peng

Policy gradient methods have been successfully applied to many complex reinforcement learning problems.

Bayesian Inference Continuous Control +3

CNN based music emotion classification

no code implementations19 Apr 2017 Xin Liu, Qingcai Chen, Xiang-Ping Wu, Yan Liu, Yang Liu

Music emotion recognition (MER) is usually regarded as a multi-label tagging task, and each segment of music can inspire specific emotion tags.

Classification Emotion Classification +3

Joint POS Tagging and Dependency Parsing with Transition-based Neural Networks

no code implementations25 Apr 2017 Liner Yang, Meishan Zhang, Yang Liu, Nan Yu, Maosong Sun, Guohong Fu

While part-of-speech (POS) tagging and dependency parsing are observed to be closely related, existing work on joint modeling with manually crafted feature templates suffers from the feature sparsity and incompleteness problems.

Dependency Parsing Part-Of-Speech Tagging +2

A Teacher-Student Framework for Zero-Resource Neural Machine Translation

no code implementations ACL 2017 Yun Chen, Yang Liu, Yong Cheng, Victor O. K. Li

While end-to-end neural machine translation (NMT) has made remarkable progress recently, it still suffers from the data scarcity problem for low-resource language pairs and domains.

Machine Translation NMT +2

Learning Structured Text Representations

3 code implementations TACL 2018 Yang Liu, Mirella Lapata

In this paper, we focus on learning structure-aware document representations from data without recourse to a discourse parser or additional annotations.

Bayesian fairness

no code implementations31 May 2017 Christos Dimitrakakis, Yang Liu, David Parkes, Goran Radanovic

We consider the problem of how decision making can be fair when the underlying probabilistic model of the world is not known with certainty.

BIG-bench Machine Learning Decision Making +1

Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)

no code implementations3 Jun 2017 Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen, Yang Liu

Contrary to this fact, most of the prior works on Machine Learning based Android malware detection have assumed that the distribution of the observed malware characteristics (i. e., features) does not change over time.

Android Malware Detection Malware Detection

THUMT: An Open Source Toolkit for Neural Machine Translation

6 code implementations20 Jun 2017 Jiacheng Zhang, Yanzhuo Ding, Shiqi Shen, Yong Cheng, Maosong Sun, Huanbo Luan, Yang Liu

This paper introduces THUMT, an open-source toolkit for neural machine translation (NMT) developed by the Natural Language Processing Group at Tsinghua University.

Machine Translation NMT +1

Visualizing and Understanding Neural Machine Translation

no code implementations ACL 2017 Yanzhuo Ding, Yang Liu, Huanbo Luan, Maosong Sun

While neural machine translation (NMT) has made remarkable progress in recent years, it is hard to interpret its internal workings due to the continuous representations and non-linearity of neural networks.

Machine Translation NMT +1

Calibrated Fairness in Bandits

no code implementations6 Jul 2017 Yang Liu, Goran Radanovic, Christos Dimitrakakis, Debmalya Mandal, David C. Parkes

In addition, we define the {\em fairness regret}, which corresponds to the degree to which an algorithm is not calibrated, where perfect calibration requires that the probability of selecting an arm is equal to the probability with which the arm has the best quality realization.

Decision Making Fairness +1

graph2vec: Learning Distributed Representations of Graphs

6 code implementations17 Jul 2017 Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan, Lihui Chen, Yang Liu, Shantanu Jaiswal

Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs.

Clustering General Classification +4

A non-DNN Feature Engineering Approach to Dependency Parsing -- FBAML at CoNLL 2017 Shared Task

no code implementations CONLL 2017 Xian Qian, Yang Liu

For this year{'}s multilingual dependency parsing shared task, we developed a pipeline system, which uses a variety of features for each of its components.

Dependency Parsing Feature Engineering +6

The HIT-SCIR System for End-to-End Parsing of Universal Dependencies

no code implementations CONLL 2017 Wanxiang Che, Jiang Guo, Yuxuan Wang, Bo Zheng, Huaipeng Zhao, Yang Liu, Dechuan Teng, Ting Liu

Our system includes three pipelined components: \textit{tokenization}, \textit{Part-of-Speech} (POS) \textit{tagging} and \textit{dependency parsing}.

Dependency Parsing Information Retrieval +4

Using Context Information for Dialog Act Classification in DNN Framework

no code implementations EMNLP 2017 Yang Liu, Kun Han, Zhao Tan, Yun Lei

Previous work on dialog act (DA) classification has investigated different methods, such as hidden Markov models, maximum entropy, conditional random fields, graphical models, and support vector machines.

Classification Dialog Act Classification +3

Learning Contextually Informed Representations for Linear-Time Discourse Parsing

no code implementations EMNLP 2017 Yang Liu, Mirella Lapata

Experimental results show that our parser obtains state-of-the art performance on benchmark datasets, while being efficient (with time complexity linear in the number of sentences in the document) and requiring minimal feature engineering.

Discourse Parsing Feature Engineering +2

Earth Mover's Distance Minimization for Unsupervised Bilingual Lexicon Induction

no code implementations EMNLP 2017 Meng Zhang, Yang Liu, Huanbo Luan, Maosong Sun

By viewing word embedding spaces as distributions, we propose to minimize their earth mover{'}s distance, a measure of divergence between distributions.

Bilingual Lexicon Induction Cross-Lingual Transfer +1

Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data

no code implementations22 Sep 2017 Xuefeng Liang, Lixin Fan, Yuen Peng Loh, Yang Liu, Song Tong

In psychology, theory-driven researches are usually conducted with extensive laboratory experiments, yet rarely tested or disproved with big data.

BIG-bench Machine Learning

Jointly Recognizing Object Fluents and Tasks in Egocentric Videos

no code implementations ICCV 2017 Yang Liu, Ping Wei, Song-Chun Zhu

Given an egocentric video, a beam search algorithm is applied to jointly recognizing the object fluents in each frame, and the task of the entire video.

Object

Energy-efficient Amortized Inference with Cascaded Deep Classifiers

no code implementations10 Oct 2017 Jiaqi Guan, Yang Liu, Qiang Liu, Jian Peng

Deep neural networks have been remarkable successful in various AI tasks but often cast high computation and energy cost for energy-constrained applications such as mobile sensing.

Image Classification

Multi-modal Aggregation for Video Classification

no code implementations27 Oct 2017 Chen Chen, Xiaowei Zhao, Yang Liu

In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place.

Classification General Classification +1

TripletGAN: Training Generative Model with Triplet Loss

no code implementations14 Nov 2017 Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song

As an effective way of metric learning, triplet loss has been widely used in many deep learning tasks, including face recognition and person-ReID, leading to many states of the arts.

Face Recognition General Classification +1

Learning to Remember Translation History with a Continuous Cache

1 code implementation TACL 2018 Zhaopeng Tu, Yang Liu, Shuming Shi, Tong Zhang

Existing neural machine translation (NMT) models generally translate sentences in isolation, missing the opportunity to take advantage of document-level information.

Machine Translation NMT +1

Parameter-free $\ell_p$-Box Decoding of LDPC Codes

1 code implementation29 Nov 2017 Qiong Wu, Fan Zhang, Hao Wang, Jun Lin, Yang Liu

The Alternating Direction Method of Multipliers (ADMM) decoding of Low Density Parity Check (LDPC) codes has received many attentions due to its excellent performance at the error floor region.

Information Theory Information Theory

DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model

no code implementations10 Dec 2017 Bo Wu, Yang Liu, Bo Lang, Lei Huang

Convolutional neural networks (CNNs) can be applied to graph similarity matching, in which case they are called graph CNNs.

Graph Classification Graph Similarity +1

Deep Blind Image Inpainting

no code implementations25 Dec 2017 Yang Liu, Jinshan Pan, Zhixun Su

However, directly using exist- ing residual learning algorithms in image restoration does not well solve this problem as little information is available in the corrupted regions.

Image Inpainting Image Restoration

STRUCTURED ALIGNMENT NETWORKS

no code implementations ICLR 2018 Yang Liu, Matt Gardner

Using a structured attention mechanism, our model matches possible spans in the first sentence to possible spans in the second sentence, simultaneously discovering the tree structure of each sentence and performing a comparison, in a model that is fully differentiable and is trained only on the comparison objective.

Natural Language Inference Sentence

Asynchronous Bidirectional Decoding for Neural Machine Translation

2 code implementations16 Jan 2018 Xiangwen Zhang, Jinsong Su, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang

The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation.

Machine Translation NMT +1

Zero-Resource Neural Machine Translation with Multi-Agent Communication Game

no code implementations9 Feb 2018 Yun Chen, Yang Liu, Victor O. K. Li

While end-to-end neural machine translation (NMT) has achieved notable success in the past years in translating a handful of resource-rich language pairs, it still suffers from the data scarcity problem for low-resource language pairs and domains.

Image Captioning Machine Translation +2

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields

1 code implementation ECCV 2018 Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, DaCheng Tao, Mingli Song

In this paper, we present a stroke controllable style transfer network that can achieve continuous and spatial stroke size control.

Style Transfer

Surrogate Scoring Rules

no code implementations26 Feb 2018 Yang Liu, Juntao Wang, Yi-Ling Chen

We show that, with a single bit of information about the prior distribution of the random variables, SSR in a multi-task setting recover SPSR in expectation, as if having access to the ground truth.

DeepGauge: Multi-Granularity Testing Criteria for Deep Learning Systems

no code implementations20 Mar 2018 Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang

Deep learning (DL) defines a new data-driven programming paradigm that constructs the internal system logic of a crafted neuron network through a set of training data.

Adversarial Attack Defect Detection

Transductive Unbiased Embedding for Zero-Shot Learning

no code implementations CVPR 2018 Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song

Most existing Zero-Shot Learning (ZSL) methods have the strong bias problem, in which instances of unseen (target) classes tend to be categorized as one of the seen (source) classes.

Transductive Learning Zero-Shot Learning

Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images

2 code implementations CVPR 2017 Zhi-Qi Cheng, Xiao Wu, Yang Liu, Xian-Sheng Hua

For the video side, deep visual features are extracted from detected object regions in each frame, and further fed into a Long Short-Term Memory (LSTM) framework for sequence modeling, which captures the temporal dynamics in videos.

N-fold Superposition: Improving Neural Networks by Reducing the Noise in Feature Maps

no code implementations23 Apr 2018 Yang Liu, Qiang Qu, Chao GAO

Finally, we replicate this new block into n copies and concatenate them as the input to the FC layer.

LEMMA

Research on the Brain-inspired Cross-modal Neural Cognitive Computing Framework

no code implementations3 May 2018 Yang Liu

To address modeling problems of brain-inspired intelligence, this thesis is focused on researching in the semantic-oriented framework design for multimedia and multimodal information.

Position Estimation of Camera Based on Unsupervised Learning

no code implementations5 May 2018 YanTong Wu, Yang Liu

The monocular depth recovery is often studied as an independent part, and a better depth estimation is used to solve the pose.

Depth Estimation Pose Estimation +2

WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval

no code implementations10 May 2018 Cohen Daniel, Yang Liu, Croft W. Bruce

With the rise in mobile and voice search, answer passage retrieval acts as a critical component of an effective information retrieval system for open domain question answering.

Open-Domain Question Answering Passage Retrieval +1

DeepMutation: Mutation Testing of Deep Learning Systems

4 code implementations14 May 2018 Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang

To do this, by sharing the same spirit of mutation testing in traditional software, we first define a set of source-level mutation operators to inject faults to the source of DL (i. e., training data and training programs).

Software Engineering

Towards Robust Neural Machine Translation

no code implementations ACL 2018 Yong Cheng, Zhaopeng Tu, Fandong Meng, Junjie Zhai, Yang Liu

Small perturbations in the input can severely distort intermediate representations and thus impact translation quality of neural machine translation (NMT) models.

Machine Translation NMT +1

Free-rider Episode Screening via Dual Partition Model

no code implementations19 May 2018 Xiang Ao, Yang Liu, Zhen Huang, Luo Zuo, Qing He

An effective technique for filtering free-rider episodes is using a partition model to divide an episode into two consecutive subepisodes and comparing the observed support of such episode with its expected support under the assumption that these two subepisodes occur independently.

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks

no code implementations28 May 2018 Jose Dolz, Xiaopan Xu, Jerome Rony, Jing Yuan, Yang Liu, Eric Granger, Christian Desrosiers, Xi Zhang, Ismail Ben Ayed, Hongbing Lu

Precise segmentation of bladder walls and tumor regions is an essential step towards non-invasive identification of tumor stage and grade, which is critical for treatment decision and prognosis of patients with bladder cancer (BC).

Segmentation

Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation

no code implementations CVPR 2018 Qingchao Chen, Yang Liu, Zhaowen Wang, Ian Wassell, Kevin Chetty

In this paper, we propose the Re-weighted Adversarial Adaptation Network (RAAN) to reduce the feature distribution divergence and adapt the classifier when domain discrepancies are disparate.

Open-Ended Question Answering Unsupervised Domain Adaptation

Multi-Task Adversarial Network for Disentangled Feature Learning

no code implementations CVPR 2018 Yang Liu, Zhaowen Wang, Hailin Jin, Ian Wassell

The encoder and the discriminators are trained cooperatively on factors of interest, but in an adversarial way on factors of distraction.

Face Recognition Font Recognition +1

Two-Step Quantization for Low-Bit Neural Networks

1 code implementation CVPR 2018 Peisong Wang, Qinghao Hu, Yifan Zhang, Chunjie Zhang, Yang Liu, Jian Cheng

In this paper, we propose a simple yet effective Two-Step Quantization (TSQ) framework, by decomposing the network quantization problem into two steps: code learning and transformation function learning based on the learned codes.

Quantization Vocal Bursts Valence Prediction

Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing

no code implementations NeurIPS 2018 Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang

Incentive mechanisms for crowdsourcing are designed to incentivize financially self-interested workers to generate and report high-quality labels.

Bayesian Inference reinforcement-learning +1

DeepLaser: Practical Fault Attack on Deep Neural Networks

no code implementations15 Jun 2018 Jakub Breier, Xiaolu Hou, Dirmanto Jap, Lei Ma, Shivam Bhasin, Yang Liu

As deep learning systems are widely adopted in safety- and security-critical applications, such as autonomous vehicles, banking systems, etc., malicious faults and attacks become a tremendous concern, which potentially could lead to catastrophic consequences.

Autonomous Vehicles

Combinatorial Testing for Deep Learning Systems

no code implementations20 Jun 2018 Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang

Deep learning (DL) has achieved remarkable progress over the past decade and been widely applied to many safety-critical applications.

Defect Detection

Neural-net-induced Gaussian process regression for function approximation and PDE solution

no code implementations22 Jun 2018 Pang Guofei, Yang Liu, Karniadakis George Em

Neural-net-induced Gaussian process (NNGP) regression inherits both the high expressivity of deep neural networks (deep NNs) as well as the uncertainty quantification property of Gaussian processes (GPs).

Gaussian Processes regression +1

A Simple but Effective Classification Model for Grammatical Error Correction

no code implementations2 Jul 2018 Zhu Kaili, Chuan Wang, Ruobing Li, Yang Liu, Tianlei Hu, Hui Lin

We treat grammatical error correction (GEC) as a classification problem in this study, where for different types of errors, a target word is identified, and the classifier predicts the correct word form from a set of possible choices.

Classification General Classification +1

Manifold Adversarial Learning

no code implementations16 Jul 2018 Shufei Zhang, Kai-Zhu Huang, Jianke Zhu, Yang Liu

All the existing adversarial training methods consider only how the worst perturbed examples (i. e., adversarial examples) could affect the model output.

Rank Minimization for Snapshot Compressive Imaging

3 code implementations20 Jul 2018 Yang Liu, Xin Yuan, Jinli Suo, David J. Brady, Qionghai Dai

We further investigate the special structure of the sampling process in SCI to tackle the computational workload and memory issues in SCI reconstruction.

Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate

no code implementations1 Aug 2018 Sheng Chen, Jia Guo, Yang Liu, Xiang Gao, Zhen Han

In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block, which reweights local features in a convolutional neural network (CNN) adaptively according to their L2 norms and outputs a global feature vector with a global average pooling layer.

Face Recognition Robust Face Recognition

Physics-Based Generative Adversarial Models for Image Restoration and Beyond

no code implementations2 Aug 2018 Jinshan Pan, Jiangxin Dong, Yang Liu, Jiawei Zhang, Jimmy Ren, Jinhui Tang, Yu-Wing Tai, Ming-Hsuan Yang

We present an algorithm to directly solve numerous image restoration problems (e. g., image deblurring, image dehazing, image deraining, etc.).

Deblurring Image Deblurring +3

PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames

1 code implementation CVPR 2020 Yu-Qi Yang, Shilin Liu, Hao Pan, Yang Liu, Xin Tong

Surface meshes are widely used shape representations and capture finer geometry data than point clouds or volumetric grids, but are challenging to apply CNNs directly due to their non-Euclidean structure.

Scene Segmentation Segmentation

Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

no code implementations3 Sep 2018 Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang

In order to make the feature representations of videos across views transferable, we then learn a transferable dictionary pair simultaneously from pairs of videos taken at different views to encourage each action video across views to have the same sparse representation.

Action Recognition Denoising +1

DeepHunter: Hunting Deep Neural Network Defects via Coverage-Guided Fuzzing

no code implementations4 Sep 2018 Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See

In company with the data explosion over the past decade, deep neural network (DNN) based software has experienced unprecedented leap and is becoming the key driving force of many novel industrial applications, including many safety-critical scenarios such as autonomous driving.

Autonomous Driving Quantization

Metamorphic Relation Based Adversarial Attacks on Differentiable Neural Computer

no code implementations7 Sep 2018 Alvin Chan, Lei Ma, Felix Juefei-Xu, Xiaofei Xie, Yang Liu, Yew Soon Ong

Deep neural networks (DNN), while becoming the driving force of many novel technology and achieving tremendous success in many cutting-edge applications, are still vulnerable to adversarial attacks.

Question Answering Relation

BubGAN: Bubble Generative Adversarial Networks for Synthesizing Realistic Bubbly Flow Images

1 code implementation7 Sep 2018 Yucheng Fu, Yang Liu

The tool could be used to provide benchmarking and training data for existing image processing algorithms and to guide the future development of bubble detecting algorithms.

Benchmarking

Randomized Wagering Mechanisms

no code implementations11 Sep 2018 Yiling Chen, Yang Liu, Juntao Wang

We show that a broad family of randomized wagering mechanisms satisfy all desirable theoretical properties.

Learning with noisy labels

apk2vec: Semi-supervised multi-view representation learning for profiling Android applications

no code implementations15 Sep 2018 Annamalai Narayanan, Charlie Soh, Lihui Chen, Yang Liu, Lipo Wang

Building behavior profiles of Android applications (apps) with holistic, rich and multi-view information (e. g., incorporating several semantic views of an app such as API sequences, system calls, etc.)

Clone Detection Clustering +3

Actionable Recourse in Linear Classification

3 code implementations18 Sep 2018 Berk Ustun, Alexander Spangher, Yang Liu

We present integer programming tools to ensure recourse in linear classification problems without interfering in model development.

Classification Credit score +2

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

1 code implementation21 Sep 2018 Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong

The Adaptive O-CNN encoder takes the planar patch normal and displacement as input and performs 3D convolutions only at the octants at each level, while the Adaptive O-CNN decoder infers the shape occupancy and subdivision status of octants at each level and estimates the best plane normal and displacement for each leaf octant.

Newton-MR: Inexact Newton Method With Minimum Residual Sub-problem Solver

no code implementations30 Sep 2018 Fred Roosta, Yang Liu, Peng Xu, Michael W. Mahoney

We consider a variant of inexact Newton Method, called Newton-MR, in which the least-squares sub-problems are solved approximately using Minimum Residual method.

Structured Alignment Networks for Matching Sentences

no code implementations EMNLP 2018 Yang Liu, Matt Gardner, Mirella Lapata

We evaluate this model on two tasks, natural entailment detection and answer sentence selection, and find that modeling latent tree structures results in superior performance.

Natural Language Inference Question Answering +1

Reinforcement Learning with Perturbed Rewards

1 code implementation ICLR 2019 Jingkang Wang, Yang Liu, Bo Li

For instance, the state-of-the-art PPO algorithm is able to obtain 84. 6% and 80. 8% improvements on average score for five Atari games, with error rates as 10% and 30% respectively.

Atari Games reinforcement-learning +1

Improving the Transformer Translation Model with Document-Level Context

3 code implementations EMNLP 2018 Jiacheng Zhang, Huanbo Luan, Maosong Sun, FeiFei Zhai, Jingfang Xu, Min Zhang, Yang Liu

Although the Transformer translation model (Vaswani et al., 2017) has achieved state-of-the-art performance in a variety of translation tasks, how to use document-level context to deal with discourse phenomena problematic for Transformer still remains a challenge.

Sentence Translation

Secure Deep Learning Engineering: A Software Quality Assurance Perspective

no code implementations10 Oct 2018 Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See

Over the past decades, deep learning (DL) systems have achieved tremendous success and gained great popularity in various applications, such as intelligent machines, image processing, speech processing, and medical diagnostics.

Attention-based sequence-to-sequence model for speech recognition: development of state-of-the-art system on LibriSpeech and its application to non-native English

1 code implementation31 Oct 2018 Yan Yin, Ramon Prieto, Bin Wang, Jianwei Zhou, Yiwei Gu, Yang Liu, Hui Lin

Recent research has shown that attention-based sequence-to-sequence models such as Listen, Attend, and Spell (LAS) yield comparable results to state-of-the-art ASR systems on various tasks.

speech-recognition Speech Recognition

Incorporating Topic Aspects for Online Comment Convincingness Evaluation

no code implementations WS 2018 Yunfan Gu, Zhongyu Wei, Maoran Xu, Hao Fu, Yang Liu, Xuanjing Huang

In this paper, we propose to incorporate topic aspects information for online comments convincingness evaluation.

Argument Mining

Improving the Robustness of Speech Translation

no code implementations2 Nov 2018 Xiang Li, Haiyang Xue, Wei Chen, Yang Liu, Yang Feng, Qun Liu

Although neural machine translation (NMT) has achieved impressive progress recently, it is usually trained on the clean parallel data set and hence cannot work well when the input sentence is the production of the automatic speech recognition (ASR) system due to the enormous errors in the source.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +5

Prior Knowledge Integration for Neural Machine Translation using Posterior Regularization

1 code implementation ACL 2017 Jiacheng Zhang, Yang Liu, Huanbo Luan, Jingfang Xu, Maosong Sun

Although neural machine translation has made significant progress recently, how to integrate multiple overlapping, arbitrary prior knowledge sources remains a challenge.

Machine Translation Translation

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

no code implementations13 Nov 2018 Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li

Up to the present, it still lacks a comprehensive study on how current diverse DL frameworks and platforms influence the DL software development process.

Autonomous Driving

Dependency Grammar Induction with a Neural Variational Transition-based Parser

no code implementations14 Nov 2018 Bowen Li, Jianpeng Cheng, Yang Liu, Frank Keller

Transition-based models enable faster inference with $O(n)$ time complexity, but their performance still lags behind.

Dependency Grammar Induction Variational Inference

Distributed Learning of Average Belief Over Networks Using Sequential Observations

no code implementations19 Nov 2018 Kaiqing Zhang, Yang Liu, Ji Liu, Mingyan Liu, Tamer Başar

This paper addresses the problem of distributed learning of average belief with sequential observations, in which a network of $n>1$ agents aim to reach a consensus on the average value of their beliefs, by exchanging information only with their neighbors.

Implanting Rational Knowledge into Distributed Representation at Morpheme Level

no code implementations26 Nov 2018 Zi Lin, Yang Liu

Previously, researchers paid no attention to the creation of unambiguous morpheme embeddings independent from the corpus, while such information plays an important role in expressing the exact meanings of words for parataxis languages like Chinese.

Word Similarity

Macro action selection with deep reinforcement learning in StarCraft

1 code implementation2 Dec 2018 Sijia Xu, Hongyu Kuang, Zhi Zhuang, Renjie Hu, Yang Liu, Huyang Sun

These rules are not scalable and efficient enough to cope with the enormous yet partially observed state space in the game.

reinforcement-learning Reinforcement Learning (RL) +1

Adpositional Supersenses for Mandarin Chinese

no code implementations6 Dec 2018 YIlun Zhu, Yang Liu, Siyao Peng, Austin Blodgett, Yushi Zhao, Nathan Schneider

This study adapts Semantic Network of Adposition and Case Supersenses (SNACS) annotation to Mandarin Chinese and demonstrates that the same supersense categories are appropriate for Chinese adposition semantics.

Machine Translation Translation

Color Constancy by GANs: An Experimental Survey

no code implementations7 Dec 2018 Partha Das, Anil S. Baslamisli, Yang Liu, Sezer Karaoglu, Theo Gevers

In this paper, we formulate the color constancy task as an image-to-image translation problem using GANs.

Color Constancy Image-to-Image Translation +1

Secure Federated Transfer Learning

no code implementations8 Dec 2018 Yang Liu, Yan Kang, Chaoping Xing, Tianjian Chen, Qiang Yang

A secure transfer cross validation approach is also proposed to guard the FTL performance under the federation.

BIG-bench Machine Learning Privacy Preserving +1

DeepCruiser: Automated Guided Testing for Stateful Deep Learning Systems

no code implementations13 Dec 2018 Xiaoning Du, Xiaofei Xie, Yi Li, Lei Ma, Jianjun Zhao, Yang Liu

Our in-depth evaluation on a state-of-the-art speech-to-text DL system demonstrates the effectiveness of our technique in improving quality and reliability of stateful DL systems.

A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild

no code implementations29 Dec 2018 Yang Liu, Ajay Kumar

Contactless and online palmprint identfication offers improved user convenience, hygiene, user-security and is highly desirable in a range of applications.

DF-SLAM: A Deep-Learning Enhanced Visual SLAM System based on Deep Local Features

no code implementations22 Jan 2019 Rong Kang, Jieqi Shi, Xueming Li, Yang Liu, Xiao Liu

As the foundation of driverless vehicle and intelligent robots, Simultaneous Localization and Mapping(SLAM) has attracted much attention these days.

Simultaneous Localization and Mapping

SecureBoost: A Lossless Federated Learning Framework

1 code implementation25 Jan 2019 Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen, Dimitrios Papadopoulos, Qiang Yang

This federated learning system allows the learning process to be jointly conducted over multiple parties with common user samples but different feature sets, which corresponds to a vertically partitioned data set.

BIG-bench Machine Learning Entity Alignment +2

LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics

no code implementations31 Jan 2019 Xiaoning Du, Bihuan Chen, Yuekang Li, Jianmin Guo, Yaqin Zhou, Yang Liu, Yu Jiang

The latter needs the prior knowledge of known vulnerabilities and can only identify similar but not new types of vulnerabilities.

Software Engineering

Intelligent Processing in Vehicular Ad hoc Networks: a Survey

no code implementations28 Mar 2019 Yang Liu

The intelligent Processing technique is more and more attractive to researchers due to its ability to deal with key problems in Vehicular Ad hoc networks.

Synthetic Examples Improve Generalization for Rare Classes

no code implementations11 Apr 2019 Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Markus Meister, Neel Joshi, Pietro Perona

The ability to detect and classify rare occurrences in images has important applications - for example, counting rare and endangered species when studying biodiversity, or detecting infrequent traffic scenarios that pose a danger to self-driving cars.

Few-Shot Learning Self-Driving Cars

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