Search Results for author: Yuan Zhang

Found 67 papers, 22 papers with code

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System

1 code implementation4 Apr 2022 Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, 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 Constrained Input Selections for Structured Systems: Polynomially Solvable Cases

no code implementations3 Apr 2022 Yuan Zhang

We show subject to the so-called source strongly-connected component separated input constraint, which contains all the currently known nontrivial polynomially solvable cases as special ones, those problems can be solvable in polynomial time.

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

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).

Speech Enhancement

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 is concerned with the real structured controllability, stabilizability, and stability radii (RSCR, RSSZR, and RSSR, respectively) of linear time invariant systems, i. e., the problems of determining the distance (in terms of matrix norms) between a system to its nearest uncontrollable, unstabilizable, and unstable systems 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 implementation6 Dec 2021 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.

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

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.


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.

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

Value factorisation proves to be a useful technique for multi-agent reinforcement learning (MARL) in global reward game, but the underlying mechanism is not yet fully understood.

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

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations

1 code implementation15 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 +5

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

1 code implementation 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 +1

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.

FocalMix: Semi-Supervised Learning for 3D Medical Image Detection

no code implementations CVPR 2020 Dong Wang, Yuan Zhang, Kexin Zhang, Li-Wei Wang

Applying artificial intelligence techniques in medical imaging is one of the most promising areas in medicine.

Lung Nodule Detection

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

2 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

Backprop-Q: Generalized Backpropagation for Stochastic Computation Graphs

1 code implementation25 Jul 2018 Xiaoran Xu, Songpeng Zu, Yuan Zhang, Hanning Zhou, Wei Feng

Then, the SCG can be trained based on these surrogate costs using standard backpropagation.

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.

Community Detection Stochastic Block Model

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