76 citations · 387 across the 16 of their papers we have counts for
16 papers
Edge-based Local Push for Personalized PageRank
Hanzhi Wang, Zhewei Wei, Junhao Gan +3
Personalized PageRank (PPR) is a popular node proximity metric in graph mining and network research. Given a graph G=(V,E) and a source node , a single-source PPR (SSPPR)…
Coo: Rethink Data Anomalies In Databases
Haixiang Li, Xiaoyan Li, Yuxing Chen +5
Transaction processing technology has three important contents: data anomalies, isolation levels, and concurrent control algorithms. Concurrent control algorithms are used to elimi…
G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression
Feng Zhang, Zaifeng Pan, Yanliang Zhou +4
Text analytics directly on compression (TADOC) has proven to be a promising technology for big data analytics. GPUs are extremely popular accelerators for data analytics systems. U…
Approximate Graph Propagation
Hanzhi Wang, Mingguo He, Zhewei Wei +4
Efficient computation of node proximity queries such as transition probabilities, Personalized PageRank, and Katz are of fundamental importance in various graph mining and learning…
SVT-Net: Super Light-Weight Sparse Voxel Transformer for Large Scale Place Recognition
Zhaoxin Fan, Zhenbo Song, Hongyan Liu +3
Point cloud-based large scale place recognition is fundamental for many applications like Simultaneous Localization and Mapping (SLAM). Although many models have been proposed and…
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Nan Tang, Ju Fan, Fangyi Li +5
Can AI help automate human-easy but computer-hard data preparation tasks that burden data scientists, practitioners, and crowd workers? We answer this question by presenting RPT, a…
Scalable Graph Neural Networks via Bidirectional Propagation
Ming Chen, Zhewei Wei, Bolin Ding +4
Graph Neural Networks (GNN) is an emerging field for learning on non-Euclidean data. Recently, there has been increased interest in designing GNN that scales to large graphs. Most…
TADOC: Text Analytics Directly on Compression
Feng Zhang, Jidong Zhai, Xipeng Shen +5
This article provides a comprehensive description of Text Analytics Directly on Compression (TADOC), which enables direct document analytics on compressed textual data. The article…
Relational Data Synthesis using Generative Adversarial Networks: A Design Space Exploration
Ju Fan, Tongyu Liu, Guoliang Li +3
The proliferation of big data has brought an urgent demand for privacy-preserving data publishing. Traditional solutions to this demand have limitations on effectively balancing th…
Exact Single-Source SimRank Computation on Large Graphs
Hanzhi Wang, Zhewei Wei, Ye Yuan +2
SimRank is a popular measurement for evaluating the node-to-node similarities based on the graph topology. In recent years, single-source and top- SimRank queries have received…
Voice-Face Cross-modal Matching and Retrieval: A Benchmark
Chuyuan Xiong, Deyuan Zhang, Tao Liu +1
Cross-modal associations between voice and face from a person can be learnt algorithmically, which can benefit a lot of applications. The problem can be defined as voice-face match…
UER: An Open-Source Toolkit for Pre-training Models
Zhe Zhao, Hui Chen, Jinbin Zhang +7
Existing works, including ELMO and BERT, have revealed the importance of pre-training for NLP tasks. While there does not exist a single pre-training model that works best in all c…
PRSim: Sublinear Time SimRank Computation on Large Power-Law Graphs
Zhewei Wei, Xiaodong He, Xiaokui Xiao +4
{\it SimRank} is a classic measure of the similarities of nodes in a graph. Given a node in graph , a {\em single-source SimRank query} returns the SimRank similarit…
Analogical Reasoning on Chinese Morphological and Semantic Relations
Shen Li, Zhe Zhao, Renfen Hu +3
Analogical reasoning is effective in capturing linguistic regularities. This paper proposes an analogical reasoning task on Chinese. After delving into Chinese lexical knowledge, w…
Reverse Nearest Neighbor Heat Maps: A Tool for Influence Exploration
Yu Sun, Rui Zhang, Andy Yuan Xue +2
We study the problem of constructing a reverse nearest neighbor (RNN) heat map by finding the RNN set of every point in a two-dimensional space. Based on the RNN set of a point, we…
Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews
Bofang Li, Tao Liu, Xiaoyong Du +2
Despite the loss of semantic information, bag-of-ngram based methods still achieve state-of-the-art results for tasks such as sentiment classification of long movie reviews. Many d…