b'Peng Zhang'

Hi-Phy: A Benchmark for Hierarchical Physical Reasoning

Reasoning about the behaviour of physical objects is a key capability of...
06/17/2021 ∙ by Cheng Xue, et al. ∙ 0 ∙ share

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WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments

In the speaker extraction problem, it is found that additional informati...
06/13/2021 ∙ by Yunzhe Hao, et al. ∙ 0 ∙ share

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Path-based Deep Network for Candidate Item Matching in Recommenders

The large-scale recommender system mainly consists of two stages: matchi...
05/18/2021 ∙ by Houyi Li, et al. ∙ 0 ∙ share

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LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment

Table structure recognition is a challenging task due to the various str...
05/13/2021 ∙ by Liang Qiao, et al. ∙ 0 ∙ share

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VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations

Document layout analysis is crucial for understanding document structure...
05/13/2021 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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GIPA: General Information Propagation Algorithm for Graph Learning

Graph neural networks (GNNs) have been popularly used in analyzing graph...
05/13/2021 ∙ by Qinkai Zheng, et al. ∙ 0 ∙ share

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A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification

Convolutional neural networks (CNNs) have been applied to learn spatial ...
05/11/2021 ∙ by Wenkai Liang, et al. ∙ 10 ∙ share

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GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy

Graph neural networks (GNNs) have been demonstrated as a powerful tool f...
04/21/2021 ∙ by Houyi Li, et al. ∙ 0 ∙ share

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Quantum Machine Learning for Power System Stability Assessment

Transient stability assessment (TSA), a cornerstone for resilient operat...
04/10/2021 ∙ by Yifan Zhou, et al. ∙ 0 ∙ share

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CogDL: An Extensive Toolkit for Deep Learning on Graphs

Graph representation learning aims to learn low-dimensional node embeddi...
03/01/2021 ∙ by Yukuo Cen, et al. ∙ 0 ∙ share

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D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism

Coronavirus Disease 2019 (COVID-19) has caused great casualties and beco...
02/10/2021 ∙ by Xiangyu Zhao, et al. ∙ 0 ∙ share

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Distributed and Asynchronous Operational Optimization of Networked Microgrids

Smart programmable microgrids (SPM) is an emerging technology for making...
02/06/2021 ∙ by Nima Nikmehr, et al. ∙ 0 ∙ share

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Mutant reduction evaluation: what is there and what is missing?

Background. Many mutation reduction strategies, which aim to reduce the ...
02/05/2021 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Data Engagement Reconsidered: A Study of Automatic Stress Tracking Technology in Use

In today's fast-paced world, stress has become a growing health concern....
01/14/2021 ∙ by Xianghua Ding, et al. ∙ 0 ∙ share

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Neuro-Reachability of Networked Microgrids

A neural ordinary differential equations network (ODE-Net)-enabled reach...
01/13/2021 ∙ by Yifan Zhou, et al. ∙ 0 ∙ share

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Residual Matrix Product State for Machine Learning

Tensor network (TN), which originates from quantum physics, shows broad ...
12/22/2020 ∙ by Ye-Ming Meng, et al. ∙ 0 ∙ share

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Overcoming Language Priors with Self-supervised Learning for Visual Question Answering

Most Visual Question Answering (VQA) models suffer from the language pri...
12/17/2020 ∙ by Xi Zhu, et al. ∙ 0 ∙ share

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A New Many-Objective Evolutionary Algorithm Based on Determinantal Point Processes

To handle different types of Many-Objective Optimization Problems (MaOPs...
12/15/2020 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking

Expert finding, a popular service provided by many online websites such ...
12/14/2020 ∙ by Bo Chen, et al. ∙ 0 ∙ share

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Audio-visual Speech Separation with Adversarially Disentangled Visual Representation

Speech separation aims to separate individual voice from an audio mixtur...
11/29/2020 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Approximating the Weighted Minimum Label s-t Cut Problem

In the weighted (minimum) Label s-t Cut problem, we are given a (directe...
11/12/2020 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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A Pattern Sequence for Designing Blockchain-Based Healthcare Information Technology Systems

Known for its decentralized and tamper-aware properties, blockchain is a...
10/02/2020 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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Noise Reduction Technique for Raman Spectrum using Deep Learning Network

In a normal indoor environment, Raman spectrum encounters noise often co...
09/09/2020 ∙ by Liangrui Pan, et al. ∙ 0 ∙ share

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TRIE: End-to-End Text Reading and Information Extraction for Document Understanding

Since real-world ubiquitous documents (e.g., invoices, tickets, resumes ...
05/27/2020 ∙ by Peng Zhang, et al. ∙ 85 ∙ share

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Revisiting Regex Generation for Modeling Industrial Applications by Incorporating Byte Pair Encoder

Regular expression is important for many natural language processing tas...
05/06/2020 ∙ by Desheng Wang, et al. ∙ 6 ∙ share

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Deep Reinforcement Learning (DRL): Another Perspective for Unsupervised Wireless Localization

Location is key to spatialize internet-of-things (IoT) data. However, it...
04/09/2020 ∙ by You Li, et al. ∙ 31 ∙ share

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Optimizing Streaming Parallelism on Heterogeneous Many-Core Architectures: A Machine Learning Based Approach

This article presents an automatic approach to quickly derive a good sol...
03/05/2020 ∙ by Peng Zhang, et al. ∙ 0 ∙ share

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KoGuN: Accelerating Deep Reinforcement Learning via Integrating Human Suboptimal Knowledge

Reinforcement learning agents usually learn from scratch, which requires...
02/18/2020 ∙ by Peng Zhang, et al. ∙ 15 ∙ 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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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Peng Zhang

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