Search Results for author: Yuan Zhang

Found 102 papers, 35 papers with code

Structural Controllability of Switched Continuous and Discrete Time Linear Systems

no code implementations19 Sep 2023 Yuan Zhang, Yuanqing Xia

This paper explores the structural controllability of switched continuous and discrete time linear systems.

1st Place Solution for the 5th LSVOS Challenge: Video Instance Segmentation

1 code implementation28 Aug 2023 Tao Zhang, Xingye Tian, Yikang Zhou, Yu Wu, Shunping Ji, Cilin Yan, Xuebo Wang, Xin Tao, Yuan Zhang, Pengfei Wan

Video instance segmentation is a challenging task that serves as the cornerstone of numerous downstream applications, including video editing and autonomous driving.

Autonomous Driving Denoising +5

Label-free Deep Learning Driven Secure Access Selection in Space-Air-Ground Integrated Networks

no code implementations28 Aug 2023 Zhaowei Wang, Zhisheng Yin, Xiucheng Wang, Nan Cheng, Yuan Zhang, Tom H. Luan

Considering the inherent co-channel interference due to spectrum sharing among multi-tier access networks in SAGIN, it can be leveraged to assist the physical layer security among heterogeneous transmissions.

Effectively Heterogeneous Federated Learning: A Pairing and Split Learning Based Approach

no code implementations26 Aug 2023 Jinglong Shen, Xiucheng Wang, Nan Cheng, Longfei Ma, Conghao Zhou, Yuan Zhang

As a promising paradigm federated Learning (FL) is widely used in privacy-preserving machine learning, which allows distributed devices to collaboratively train a model while avoiding data transmission among clients.

Federated Learning Privacy Preserving

Functional Observability, Structural Functional Observability and Optimal Sensor Placement

no code implementations18 Jul 2023 Yuan Zhang, Tyrone Fernando, Mohamed Darouach

Based on these results, the problems of selecting the minimal sensors from a prior set to achieve functional observability and SFO are shown to be NP-hard.

Measuring Item Global Residual Value for Fair Recommendation

1 code implementation17 Jul 2023 Jiayin Wang, Weizhi Ma, Chumeng Jiang, Min Zhang, Yuan Zhang, Biao Li, Peng Jiang

In this paper, we call for a shift of attention from modeling user preferences to developing fair exposure mechanisms for items.

Recommendation Systems

Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation

1 code implementation ICCV 2023 Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang

In this work, we note the specificity of tubular structures and use this knowledge to guide our DSCNet to simultaneously enhance perception in three stages: feature extraction, feature fusion, and loss constraint.


Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images

no code implementations5 Jul 2023 Yuan Zhang, Hu Wang, David Butler, Minh-Son To, Jodie Avery, M Louise Hull, Gustavo Carneiro

Next, we distill the knowledge from the teacher TVUS POD obliteration detector to train the student MRI model by minimizing a regression loss that approximates the output of the student to the teacher using unpaired TVUS and MRI data.

Knowledge Distillation

Razor SNN: Efficient Spiking Neural Network with Temporal Embeddings

no code implementations30 Jun 2023 Yuan Zhang, Jian Cao, Ling Zhang, Jue Chen, Wenyu Sun, YuAn Wang

The event streams generated by dynamic vision sensors (DVS) are sparse and non-uniform in the spatial domain, while still dense and redundant in the temporal domain.

DVIS: Decoupled Video Instance Segmentation Framework

1 code implementation ICCV 2023 Tao Zhang, Xingye Tian, Yu Wu, Shunping Ji, Xuebo Wang, Yuan Zhang, Pengfei Wan

The efficacy of the decoupling strategy relies on two crucial elements: 1) attaining precise long-term alignment outcomes via frame-by-frame association during tracking, and 2) the effective utilization of temporal information predicated on the aforementioned accurate alignment outcomes during refinement.

Autonomous Driving Instance Segmentation +4

Knowledge Diffusion for Distillation

1 code implementation25 May 2023 Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu

To address this, we propose to denoise student features using a diffusion model trained by teacher features.

Denoising Image Classification +4

Distribution-Free Matrix Prediction Under Arbitrary Missing Pattern

no code implementations19 May 2023 Meijia Shao, Yuan Zhang

This paper studies the open problem of conformalized entry prediction in a row/column-exchangeable matrix.

Conformal Prediction

Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty

no code implementations4 May 2023 Yuan Zhang, Weihua Chen, Yichen Lu, Tao Huang, Xiuyu Sun, Jian Cao

Knowledge distillation is an effective paradigm for boosting the performance of pocket-size model, especially when multiple teacher models are available, the student would break the upper limit again.

Knowledge Distillation object-detection +3

Observability Blocking for Functional Privacy of Linear Dynamic Networks

no code implementations17 Apr 2023 Yuan Zhang, Ranbo Cheng, Yuanqing Xia

This paper addresses the problem of determining the minimum set of state variables in a network that need to be blocked from direct measurements in order to protect functional privacy with respect to {\emph{any}} output matrices.


Judicial Intelligent Assistant System: Extracting Events from Divorce Cases to Detect Disputes for the Judge

no code implementations23 Mar 2023 Yuan Zhang, Chuanyi Li, Yu Sheng, Jidong Ge, Bin Luo

It is a difficult but necessary task to extract the key information for the cases from these textual materials and to clarify the dispute focus of related parties.

On the Reachability and Controllability of Temporal Continuous-Time Linear Networks: A Generic Analysis

no code implementations23 Feb 2023 Yuan Zhang, Yuanqing Xia, Long Wang

This paper investigates the reachability and controllability of temporal continuous-time linear networks from a generic viewpoint, where only the zero-nonzero patterns of subsystem matrices are known.

Temporal Sequences

Real-time speech enhancement with dynamic attention span

no code implementations21 Feb 2023 Chengyu Zheng, Yuan Zhou, Xiulian Peng, Yuan Zhang, Yan Lu

For real-time speech enhancement (SE) including noise suppression, dereverberation and acoustic echo cancellation, the time-variance of the audio signals becomes a severe challenge.

Acoustic echo cancellation Speech Enhancement

Incorporating Recurrent Reinforcement Learning into Model Predictive Control for Adaptive Control in Autonomous Driving

no code implementations30 Jan 2023 Yuan Zhang, Joschka Boedecker, Chuxuan Li, Guyue Zhou

Model Predictive Control (MPC) is attracting tremendous attention in the autonomous driving task as a powerful control technique.

Autonomous Driving

Capacity Analysis of Holographic MIMO Channels with Practical Constraints

no code implementations29 Dec 2022 Yuan Zhang, Jianhua Zhang, Yuxiang Zhang, Yuan YAO, Guangyi Liu

However, the channel might not satisfy isotropic scattering because of generalized angle distributions, and the antenna gain is limited by the array aperture in reality.

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

1 code implementation23 Nov 2022 Kai Shen, Yichong Leng, Xu Tan, Siliang Tang, Yuan Zhang, Wenjie Liu, Edward Lin

Since the error rate of the incorrect sentence is usually low (e. g., 10\%), the correction model can only learn to correct on limited error tokens but trivially copy on most tokens (correct tokens), which harms the effective training of error correction.

speech-recognition Speech Recognition

Disentangled Feature Learning for Real-Time Neural Speech Coding

no code implementations22 Nov 2022 Xue Jiang, Xiulian Peng, Yuan Zhang, Yan Lu

Recently end-to-end neural audio/speech coding has shown its great potential to outperform traditional signal analysis based audio codecs.

Disentanglement Voice Conversion

Differentially Private Optimizers Can Learn Adversarially Robust Models

no code implementations16 Nov 2022 Yuan Zhang, Zhiqi Bu

Machine learning models have shone in a variety of domains and attracted increasing attention from both the security and the privacy communities.

Adversarial Robustness

FV2ES: A Fully End2End Multimodal System for Fast Yet Effective Video Emotion Recognition Inference

1 code implementation21 Sep 2022 Qinglan Wei, Xuling Huang, Yuan Zhang

In the latest social networks, more and more people prefer to express their emotions in videos through text, speech, and rich facial expressions.

Multimodal Emotion Recognition Video Emotion Recognition

Real-time Short Video Recommendation on Mobile Devices

no code implementations20 Aug 2022 Xudong Gong, Qinlin Feng, Yuan Zhang, Jiangling Qin, Weijie Ding, Biao Li, Peng Jiang, Kun Gai

However, as users continue to watch videos and feedback, the changing context leads the ranking of the server-side recommendation system inaccurate.

Recommendation Systems Re-Ranking

Latent-Domain Predictive Neural Speech Coding

no code implementations18 Jul 2022 Xue Jiang, Xiulian Peng, Huaying Xue, Yuan Zhang, Yan Lu

Neural audio/speech coding has recently demonstrated its capability to deliver high quality at much lower bitrates than traditional methods.


Cross-Scale Vector Quantization for Scalable Neural Speech Coding

no code implementations7 Jul 2022 Xue Jiang, Xiulian Peng, Huaying Xue, Yuan Zhang, Yan Lu

In this paper, we introduce a cross-scale scalable vector quantization scheme (CSVQ), in which multi-scale features are encoded progressively with stepwise feature fusion and refinement.


Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization

no code implementations5 Jul 2022 Yuan Zhang, Jianhong Wang, Joschka Boedecker

To deal with unknown uncertainty sets, we further propose a novel adversarial approach to generate them based on the value function.

Continuous Control reinforcement-learning +1

Masked Distillation with Receptive Tokens

1 code implementation29 May 2022 Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu

To obtain a group of masks, the receptive tokens are learned via the regular task loss but with teacher fixed, and we also leverage a Dice loss to enrich the diversity of learned masks.

object-detection Object Detection +1

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

1 code implementation4 Apr 2022 Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang

The basic idea is to first learn a causal user model on historical data to capture the overexposure effect of items on user satisfaction.

Causal Inference Offline RL +1

On Polynomially Solvable Constrained Input Selections for Fixed and Switched Linear Structured Systems

no code implementations3 Apr 2022 Yuan Zhang, Yuanqing Xia, Shenyu Liu, Zhongqi Sun

In this paper, it is found that, if the input structure satisfies certain `regularizations', which are characterized by the proposed restricted total unimodulairty notion, those problems can be solvable in polynomial time via linear programming (LP) relaxations.

LBCF: A Large-Scale Budget-Constrained Causal Forest Algorithm

1 code implementation29 Jan 2022 Meng Ai, Biao Li, Heyang Gong, Qingwei Yu, Shengjie Xue, Yuan Zhang, Yunzhou Zhang, Peng Jiang

The proposed approach is currently serving over hundreds of millions of users on the platform and achieves one of the most tremendous improvements over these months.

Distributed Computing Marketing

In Defense of Kalman Filtering for Polyp Tracking from Colonoscopy Videos

no code implementations27 Jan 2022 David Butler, Yuan Zhang, Tim Chen, Seon Ho Shin, Rajvinder Singh, Gustavo Carneiro

We advocate that the field should instead focus on the development of simple and efficient detectors that an be combined with effective trackers to allow the implementation of real-time polyp detectors.

End-to-End Neural Speech Coding for Real-Time Communications

no code implementations24 Jan 2022 Xue Jiang, Xiulian Peng, Chengyu Zheng, Huaying Xue, Yuan Zhang, Yan Lu

Deep-learning based methods have shown their advantages in audio coding over traditional ones but limited attention has been paid on real-time communications (RTC).

Packet Loss Concealment

On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods

no code implementations4 Jan 2022 Yuan Zhang, Yuanqing Xia, Yufeng Zhan

This paper addresses the real structured controllability, stabilizability, and stability radii (RSCR, RSSZR, and RSSR, respectively) of linear systems, which involve determining the distance (in terms of matrix norms) between a (possibly large-scale) system and its nearest uncontrollable, unstabilizable, and unstable systems, respectively, with a prescribed affine structure.

Learning Multi-granularity User Intent Unit for Session-based Recommendation

1 code implementation25 Dec 2021 Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

Specifically, we creatively propose Multi-granularity Intent Heterogeneous Session Graph which captures the interactions between different granularity intent units and relieves the burden of long-dependency.

Session-Based Recommendations

MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image

1 code implementation CVPR 2022 Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo

In this work, we propose a framework for single-view hand mesh reconstruction, which can simultaneously achieve high reconstruction accuracy, fast inference speed, and temporal coherence.


Controllable Semantic Parsing via Retrieval Augmentation

1 code implementation EMNLP 2021 Panupong Pasupat, Yuan Zhang, Kelvin Guu

In practical applications of semantic parsing, we often want to rapidly change the behavior of the parser, such as enabling it to handle queries in a new domain, or changing its predictions on certain targeted queries.

Retrieval Semantic Parsing

Practical and Private Heterogeneous Federated Learning

no code implementations29 Sep 2021 Hanxiao Chen, Meng Hao, Hongwei Li, Guangxiao Niu, Guowen Xu, Huawei Wang, Yuan Zhang, Tianwei Zhang

Heterogeneous federated learning (HFL) enables clients with different computation/communication capabilities to collaboratively train their own customized models, in which the knowledge of models is shared via clients' predictions on a public dataset.

Federated Learning Privacy Preserving

AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance

no code implementations14 Sep 2021 Xiangcheng Liu, Jian Cao, Hongyi Yao, Wenyu Sun, Yuan Zhang

While previous pruning methods have mostly focused on identifying unimportant channels, channel pruning is considered as a special case of neural architecture search in recent years.

Image Classification Neural Architecture Search

r-GAT: Relational Graph Attention Network for Multi-Relational Graphs

no code implementations13 Sep 2021 Meiqi Chen, Yuan Zhang, Xiaoyu Kou, Yuntao Li, Yan Zhang

To tackle this issue, we propose r-GAT, a relational graph attention network to learn multi-channel entity representations.

Graph Attention Knowledge Graphs +1

PIMNet: A Parallel, Iterative and Mimicking Network for Scene Text Recognition

1 code implementation9 Sep 2021 Zhi Qiao, Yu Zhou, Jin Wei, Wei Wang, Yuan Zhang, Ning Jiang, Hongbin Wang, Weiping Wang

In this paper, we propose a Parallel, Iterative and Mimicking Network (PIMNet) to balance accuracy and efficiency.

Scene Text Recognition

Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: an LP-based Method

no code implementations10 Aug 2021 Yuan Zhang, Yuanqing Xia, Yufeng Zhan

Subject to a certain condition on the prescribed input configurations that contains the dedicated input one as a special case, we demonstrate that the constraint matrices of these ILPs are totally unimodular.

Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents

no code implementations5 Aug 2021 Ling Zhang, Jian Cao, Yuan Zhang, Bohan Zhou, Shuo Feng

This method uses distillation to effectively avoid the weakness of STBP, which can achieve SOTA performance in classification, and can obtain a smaller, faster convergence and lower power consumption SNN reinforcement learning model.

reinforcement-learning Reinforcement Learning (RL) +1

QA-Driven Zero-shot Slot Filling with Weak Supervision Pretraining

no code implementations ACL 2021 Xinya Du, Luheng He, Qi Li, Dian Yu, Panupong Pasupat, Yuan Zhang

To address this problem, we introduce QA-driven slot filling (QASF), which extracts slot-filler spans from utterances with a span-based QA model.

slot-filling Zero-shot Slot Filling

Latent Space Model for Higher-order Networks and Generalized Tensor Decomposition

no code implementations30 Jun 2021 Zhongyuan Lyu, Dong Xia, Yuan Zhang

We formulate the relationship between the latent positions and the observed data via a generalized multilinear kernel as the link function.

Link Prediction Tensor Decomposition

Partial Strong Structural Controllability

no code implementations26 Jun 2021 Yuan Zhang, Yuanqing Xia

This paper introduces a new controllability notion, termed partial strong structural controllability (PSSC), on a structured system whose entries of system matrices are either fixed zero or indeterminate, which naturally extends the conventional strong structural controllability (SSC) and bridges the gap between structural controllability and SSC.

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

1 code implementation31 May 2021 Jianhong Wang, Yuan Zhang, Yunjie Gu, Tae-Kyun Kim

This paper studies a theoretical framework for value factorisation with interpretability via Shapley value theory.

Fairness Q-Learning +2

Recent Standard Development Activities on Video Coding for Machines

no code implementations26 May 2021 Wen Gao, Shan Liu, Xiaozhong Xu, Manouchehr Rafie, Yuan Zhang, Igor Curcio

Specifically, we will first provide an overview of the MPEG VCM group including use cases, requirements, processing pipelines, plan for potential VCM standards, followed by the evaluation framework including machine-vision tasks, dataset, evaluation metrics, and anchor generation.

object-detection Object Detection

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations

2 code implementations15 Apr 2021 Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang

Sequence-to-sequence (seq2seq) models are prevalent in semantic parsing, but have been found to struggle at out-of-distribution compositional generalization.

Semantic Parsing Text-To-SQL

Few-shot Intent Classification and Slot Filling with Retrieved Examples

no code implementations NAACL 2021 Dian Yu, Luheng He, Yuan Zhang, Xinya Du, Panupong Pasupat, Qi Li

Few-shot learning arises in important practical scenarios, such as when a natural language understanding system needs to learn new semantic labels for an emerging, resource-scarce domain.

Classification Few-Shot Learning +8

PTSC: a New Definition for Structural Controllability under Numerical Perturbations

no code implementations22 Mar 2021 Yuan Zhang, Yuanqing Xia

This paper proposes a novel notion for structural controllability under structured numerical perturbations, namely the perturbation-tolerant structural controllability (PTSC), on a single-input structured system whose entries can be classified into three categories: fixed zero entries, unknown generic entries whose values are fixed but unknown, and perturbed entries that can take arbitrary complex values.

Interactive Speech and Noise Modeling for Speech Enhancement

no code implementations17 Dec 2020 Chengyu Zheng, Xiulian Peng, Yuan Zhang, Sriram Srinivasan, Yan Lu

In this paper, we propose a novel idea to model speech and noise simultaneously in a two-branch convolutional neural network, namely SN-Net.

Speaker Separation Speech Enhancement

End-to-End Chinese Parsing Exploiting Lexicons

no code implementations8 Dec 2020 Yuan Zhang, Zhiyang Teng, Yue Zhang

Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules.

Dependency Parsing Graph Attention +1

Cross-Layer Distillation with Semantic Calibration

2 code implementations6 Dec 2020 Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Yan Feng, Chun Chen

Knowledge distillation is a technique to enhance the generalization ability of a student model by exploiting outputs from a teacher model.

Knowledge Distillation Transfer Learning

Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective

no code implementations24 Sep 2020 Hongwei Zhang, Tijin Yan, Zenjun Xie, Yuanqing Xia, Yuan Zhang

Based on our theoretical and empirical analysis, we establish a universal theoretical framework of GCN from an optimization perspective and derive a novel convolutional kernel named GCN+ which has lower parameter amount while relieving the over-smoothing inherently.

General Classification Node Classification

LIT Team's System Description for Japanese-Chinese Machine Translation Task in IWSLT 2020

no code implementations WS 2020 Yimeng Zhuang, Yuan Zhang, Lijie Wang

This paper describes the LIT Team{'}s submission to the IWSLT2020 open domain translation task, focusing primarily on Japanese-to-Chinese translation direction.

Machine Translation Translation +1

Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System

2 code implementations ICLR 2021 Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

We test HDNO on MultiWoz 2. 0 and MultiWoz 2. 1, the datasets on multi-domain dialogues, in comparison with word-level E2E model trained with RL, LaRL and HDSA, showing improvements on the performance evaluated by automatic evaluation metrics and human evaluation.

Hierarchical Reinforcement Learning reinforcement-learning +2

Mapping Natural Language Instructions to Mobile UI Action Sequences

2 code implementations ACL 2020 Yang Li, Jiacong He, Xin Zhou, Yuan Zhang, Jason Baldridge

We present a new problem: grounding natural language instructions to mobile user interface actions, and create three new datasets for it.

Edgeworth expansions for network moments

1 code implementation14 Apr 2020 Yuan Zhang, Dong Xia

In this paper, we present the first higher-order accurate approximation to the sampling CDF of a studentized network moment by Edgeworth expansion.

Neural Inheritance Relation Guided One-Shot Layer Assignment Search

no code implementations28 Feb 2020 Rang Meng, Wei-Jie Chen, Di Xie, Yuan Zhang, ShiLiang Pu

In this paper, for the first time, we systematically investigate the impact of different layer assignments to the network performance by building an architecture dataset of layer assignment on CIFAR-100.

Neural Architecture Search

Distilling Structured Knowledge into Embeddings for Explainable and Accurate Recommendation

1 code implementation18 Dec 2019 Yuan Zhang, Xiaoran Xu, Hanning Zhou, Yan Zhang

Recently, the embedding-based recommendation models (e. g., matrix factorization and deep models) have been prevalent in both academia and industry due to their effectiveness and flexibility.

Shapley Q-value: A Local Reward Approach to Solve Global Reward Games

2 code implementations11 Jul 2019 Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu

To deal with this problem, we i) introduce a cooperative-game theoretical framework called extended convex game (ECG) that is a superset of global reward game, and ii) propose a local reward approach called Shapley Q-value.

Multi-agent Reinforcement Learning Policy Gradient Methods

Tree Communication Models for Sentiment Analysis

1 code implementation ACL 2019 Yuan Zhang, Yue Zhang

Tree-LSTMs have been used for tree-based sentiment analysis over Stanford Sentiment Treebank, which allows the sentiment signals over hierarchical phrase structures to be calculated simultaneously.

Sentiment Analysis

PAWS: Paraphrase Adversaries from Word Scrambling

2 code implementations NAACL 2019 Yuan Zhang, Jason Baldridge, Luheng He

Existing paraphrase identification datasets lack sentence pairs that have high lexical overlap without being paraphrases.

Paraphrase Identification Translation

All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification

3 code implementations CVPR 2019 Wei-Jie Chen, Di Xie, Yuan Zhang, ShiLiang Pu

In this family of architectures, the basic block is only composed by 1x1 convolutional layers with only a few shift operations applied to the intermediate feature maps.

General Classification Image Classification +1

A Layer Decomposition-Recomposition Framework for Neuron Pruning towards Accurate Lightweight Networks

no code implementations17 Dec 2018 Wei-Jie Chen, Yuan Zhang, Di Xie, ShiLiang Pu

A better alternative is to propagate the entire useful information to reconstruct the pruned layer instead of directly discarding the less important neurons.

Modeling Attention Flow on Graphs

no code implementations1 Nov 2018 Xiaoran Xu, Songpeng Zu, Chengliang Gao, Yuan Zhang, Wei Feng

Real-world scenarios demand reasoning about process, more than final outcome prediction, to discover latent causal chains and better understand complex systems.

A Fast, Compact, Accurate Model for Language Identification of Codemixed Text

no code implementations EMNLP 2018 Yuan Zhang, Jason Riesa, Daniel Gillick, Anton Bakalov, Jason Baldridge, David Weiss

We address fine-grained multilingual language identification: providing a language code for every token in a sentence, including codemixed text containing multiple languages.

Language Identification

Consistent polynomial-time unseeded graph matching for Lipschitz graphons

no code implementations29 Jul 2018 Yuan Zhang

We propose a consistent polynomial-time method for the unseeded node matching problem for networks with smooth underlying structures.

Graph Matching Graphon Estimation

A Localization Method Avoiding Flip Ambiguities for micro-UAVs with Bounded Distance Measurement Errors

1 code implementation24 Jul 2018 Qingbei Guo, Yuan Zhang, Jaime Lloretz, Burak Kantarcix, Winston K. G. Seah

This study proposes a localization method that can avoid the occurrence of flip ambiguities in bounded distance measurement errors and constrained flying motions; to demonstrate its efficacy, the method is implemented on bilateration and trilateration.

Signal Processing Other Computer Science

Blind Predicting Similar Quality Map for Image Quality Assessment

no code implementations CVPR 2018 Da Pan, Ping Shi, Ming Hou, Zefeng Ying, Sizhe Fu, Yuan Zhang

A key problem in blind image quality assessment (BIQA) is how to effectively model the properties of human visual system in a data-driven manner.

Blind Image Quality Assessment

Aspect-augmented Adversarial Networks for Domain Adaptation

1 code implementation TACL 2017 Yuan Zhang, Regina Barzilay, Tommi Jaakkola

We introduce a neural method for transfer learning between two (source and target) classification tasks or aspects over the same domain.

Domain Adaptation General Classification +1

Stack-propagation: Improved Representation Learning for Syntax

no code implementations ACL 2016 Yuan Zhang, David Weiss

Traditional syntax models typically leverage part-of-speech (POS) information by constructing features from hand-tuned templates.

Dependency Parsing POS +1

Estimating network edge probabilities by neighborhood smoothing

1 code implementation29 Sep 2015 Yuan Zhang, Elizaveta Levina, Ji Zhu

The estimation of probabilities of network edges from the observed adjacency matrix has important applications to predicting missing links and network denoising.

Denoising Graphon Estimation +1

Community Detection in Networks with Node Features

no code implementations3 Sep 2015 Yuan Zhang, Elizaveta Levina, Ji Zhu

Many methods have been proposed for community detection in networks, but most of them do not take into account additional information on the nodes that is often available in practice.

Community Detection

Detecting Overlapping Communities in Networks Using Spectral Methods

no code implementations10 Dec 2014 Yuan Zhang, Elizaveta Levina, Ji Zhu

Community detection is a fundamental problem in network analysis which is made more challenging by overlaps between communities which often occur in practice.

Clustering Community Detection +1

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