Peng Zhang

Similarity-DT: Kernel Similarity Embedding for Dynamic Texture Synthesis

Dynamic texture (DT) exhibits statistical stationarity in the spatial do...
11/11/2019 ∙ by Shiming Chen, et al. ∙ 23 ∙ share

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Explainable Video Action Reasoning via Prior Knowledge and State Transitions

Human action analysis and understanding in videos is an important and ch...
08/28/2019 ∙ by Tao Zhuo, et al. ∙ 19 ∙ share

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Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network

Although complex-valued (CV) neural networks have shown better classific...
09/29/2019 ∙ by Yice Cao, et al. ∙ 18 ∙ share

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REAPS: Towards Better Recognition of Fine-grained Images by Region Attending and Part Sequencing

Fine-grained image recognition has been a hot research topic in computer...
08/06/2019 ∙ by Peng Zhang, et al. ∙ 5 ∙ share

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Unsupervised Online Video Object Segmentation with Motion Property Understanding

Unsupervised online video object segmentation (VOS) aims to automaticall...
10/09/2018 ∙ by Tao Zhuo, et al. ∙ 2 ∙ share

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MarlRank: Multi-agent Reinforced Learning to Rank

When estimating the relevancy between a query and a document, ranking mo...
09/15/2019 ∙ by Shihao Zou, et al. ∙ 2 ∙ share

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Supporting Navigation of Outdoor Shopping Complexes for Visually-impaired Users through Multi-modal Data Fusion

Outdoor shopping complexes (OSC) are extremely difficult for people with...
04/05/2017 ∙ by Archana Paladugu, et al. ∙ 0 ∙ share

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On Tsallis Entropy Bias and Generalized Maximum Entropy Models

In density estimation task, maximum entropy model (Maxent) can effective...
04/07/2010 ∙ by Yuexian Hou, et al. ∙ 0 ∙ share

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A new embedding quality assessment method for manifold learning

Manifold learning is a hot research topic in the field of computer scien...
08/08/2011 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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An Explicit Nonlinear Mapping for Manifold Learning

Manifold learning is a hot research topic in the field of computer scien...
01/15/2010 ∙ by Hong Qiao, et al. ∙ 0 ∙ share

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Yin and Yang: Balancing and Answering Binary Visual Questions

The complex compositional structure of language makes problems at the in...
11/16/2015 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Hardness Results for Structured Linear Systems

We show that if the nearly-linear time solvers for Laplacian matrices an...
05/08/2017 ∙ by Rasmus Kyng, et al. ∙ 0 ∙ share

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The 2017 AIBIRDS Competition

This paper presents an overview of the sixth AIBIRDS competition, held a...
03/14/2018 ∙ by Matthew Stephenson, et al. ∙ 0 ∙ share

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SNC: A Cloud Service Platform for Symbolic-Numeric Computation using Just-In-Time Compilation

Cloud services have been widely employed in IT industry and scientific r...
02/09/2018 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Diffusion Based Network Embedding

In network embedding, random walks play a fundamental role in preserving...
05/09/2018 ∙ by Yong Shi, et al. ∙ 0 ∙ share

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Incomplete Nested Dissection

We present an asymptotically faster algorithm for solving linear systems...
05/23/2018 ∙ by Rasmus Kyng, et al. ∙ 0 ∙ share

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Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition

Fine-grained visual recognition is challenging because it highly relies ...
07/26/2018 ∙ by Chaojian Yu, et al. ∙ 0 ∙ share

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A Quantum Many-body Wave Function Inspired Language Modeling Approach

The recently proposed quantum language model (QLM) aimed at a principled...
08/28/2018 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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FHIRChain: Applying Blockchain to Securely and Scalably Share Clinical Data

Secure and scalable data sharing is essential for collaborative clinical...
07/09/2018 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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An Efficient Approach to Learning Chinese Judgment Document Similarity Based on Knowledge Summarization

A previous similar case in common law systems can be used as a reference...
08/06/2018 ∙ by Yinglong Ma, et al. ∙ 0 ∙ share

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Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling

It remains a huge challenge to design effective and efficient trackers u...
11/19/2018 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Transformed ℓ_1 Regularization for Learning Sparse Deep Neural Networks

Deep neural networks (DNNs) have achieved extraordinary success in numer...
01/04/2019 ∙ by Rongrong Ma, et al. ∙ 0 ∙ share

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Clustering Bioactive Molecules in 3D Chemical Space with Unsupervised Deep Learning

Unsupervised clustering has broad applications in data stratification, p...
02/09/2019 ∙ by Chu Qin, et al. ∙ 0 ∙ share

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A Generalized Language Model in Tensor Space

In the literature, tensors have been effectively used for capturing the ...
01/31/2019 ∙ by Lipeng Zhang, et al. ∙ 0 ∙ share

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Tuning Streamed Applications on Intel Xeon Phi: A Machine Learning Based Approach

Many-core accelerators, as represented by the XeonPhi coprocessors and G...
02/08/2018 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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GraphNAS: Graph Neural Architecture Search with Reinforcement Learning

Graph Neural Networks (GNNs) have been popularly used for analyzing non-...
04/22/2019 ∙ by Yang Gao, et al. ∙ 0 ∙ share

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FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing

Face Anti-spoofing gains increased attentions recently in both academic ...
04/22/2019 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Support Relation Analysis for Objects in Multiple View RGB-D Images

Understanding physical relations between objects, especially their suppo...
05/10/2019 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Using Restart Heuristics to Improve Agent Performance in Angry Birds

Over the past few years the Angry Birds AI competition has been held in ...
05/30/2019 ∙ by Tommy Liu, et al. ∙ 0 ∙ share

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Enhancing the long-term performance of recommender system

Recommender system is a critically important tool in online commercial s...
04/01/2019 ∙ by Leyang Xue, et al. ∙ 0 ∙ share

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Predictability of diffusion-based recommender systems

The recommendation methods based on network diffusion have been shown to...
03/29/2019 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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A Tensorized Transformer for Language Modeling

Latest development of neural models has connected the encoder and decode...
06/24/2019 ∙ by Xindian Ma, et al. ∙ 0 ∙ share

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ScenarioSA: A Large Scale Conversational Database for Interactive Sentiment Analysis

Interactive sentiment analysis is an emerging, yet challenging, subtask ...
07/12/2019 ∙ by Yazhou Zhang, et al. ∙ 0 ∙ share

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Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network

A challenge in speech production research is to predict future tongue mo...
02/19/2019 ∙ by Chaojie Zhao, et al. ∙ 0 ∙ share

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CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots

Natural Language Understanding (NLU) is a core component of dialog syste...
09/18/2019 ∙ by Arshit Gupta, et al. ∙ 0 ∙ share

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Minimum Label s-t Cut has Large Integrality Gaps

Given a graph G=(V,E) with a label set L = l_1, l_2, ..., l_q, in which ...
08/30/2019 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture

CPU-FPGA heterogeneous architectures are attracting ever-increasing atte...
07/30/2018 ∙ by Jason Cong, et al. ∙ 0 ∙ share

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Balancing covariates in randomized experiments using the Gram-Schmidt walk

The paper introduces a class of experimental designs that allows experim...
11/08/2019 ∙ by Christopher Harshaw, et al. ∙ 0 ∙ share

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Quantum-Secure Microgrid

Existing microgrid communication relies on classical public key systems,...
01/07/2020 ∙ by Zefan Tang, et al. ∙ 0 ∙ share

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Encoding word order in complex embeddings

Sequential word order is important when processing text. Currently, neur...
12/27/2019 ∙ by Benyou Wang, et al. ∙ 0 ∙ share

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Peng Zhang

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