b'Wenjie Zhang'

research

∙ 04/05/2023

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT

The amount of data has growing significance in exploring cutting-edge ma...

0 Tong Xie, et al. ∙

research

∙ 02/28/2023

WISK: A Workload-aware Learned Index for Spatial Keyword Queries

Spatial objects often come with textual information, such as Points of I...

0 Yufan Sheng, et al. ∙

research

∙ 02/27/2023

Minimizing the Influence of Misinformation via Vertex Blocking

Information cascade in online social networks can be rather negative, e....

0 Jiadong Xie, et al. ∙

research

∙ 02/19/2023

Dynamic Private Task Assignment under Differential Privacy

Data collection is indispensable for spatial crowdsourcing services, suc...

0 Leilei Du, et al. ∙

research

∙ 02/16/2023

LabelPrompt: Effective Prompt-based Learning for Relation Classification

Recently, prompt-based learning has become a very popular solution in ma...

0 Wenjie Zhang, et al. ∙

research

∙ 11/16/2022

Efficiently Answering Quality Constrained Shortest Distance Queries in Large Graphs

The shortest-path distance is a fundamental concept in graph analytics a...

0 You Peng, et al. ∙

research

∙ 09/22/2022

Online Ridesharing with Meeting Points [Technical Report]

Nowadays, ridesharing becomes a popular commuting mode. Dynamically arri...

0 Jiachuan Wang, et al. ∙

research

∙ 09/13/2022

TDB: Breaking All Hop-Constrained Cycles in Billion-Scale Directed Graphs

The Feedback vertex set with the minimum size is one of Karp's 21 NP-com...

0 You Peng, et al. ∙

research

∙ 08/26/2022

Towards Higher-order Topological Consistency for Unsupervised Network Alignment

Network alignment task, which aims to identify corresponding nodes in di...

0 Qingqiang Sun, et al. ∙

research

∙ 08/12/2022

GSim: A Graph Neural Network based Relevance Measure for Heterogeneous Graphs

Heterogeneous graphs, which contain nodes and edges of multiple types, a...

0 Linhao Luo, et al. ∙

research

∙ 06/29/2022

iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis based on Disentanglement between Prosody and Timbre

The capability of generating speech with specific type of emotion is des...

0 Guangyan Zhang, et al. ∙

research

∙ 04/01/2022

Balanced Clique Computation in Signed Networks: Concepts and Algorithms

Clique is one of the most fundamental models for cohesive subgraph minin...

0 Zi Chen, et al. ∙

research

∙ 03/25/2022

Efficient k-clique Listing with Set Intersection Speedup [Technical Report]

Listing all k-cliques is a fundamental problem in graph mining, with app...

0 Zhirong Yuan, et al. ∙

research

∙ 01/25/2022

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

Subgraph matching is a fundamental problem in various fields that use gr...

0 Hanchen Wang, et al. ∙

research

∙ 01/10/2022

GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]

With the development of traffic prediction technology, spatiotemporal pr...

0 Jiabao Jin, et al. ∙

research

∙ 10/23/2021

Towards User Engagement Dynamics in Social Networks

The engagement of each user in a social network is an essential indicato...

0 Qingyuan Linghu, et al. ∙

research

∙ 09/05/2021

Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model

Community detection, aiming to group the graph nodes into clusters with ...

0 Linhao Luo, et al. ∙

research

∙ 08/27/2021

Lyra: A Benchmark for Turducken-Style Code Generation

Code generation is crucial to reduce manual software development efforts...

0 Qingyuan Liang, et al. ∙

research

∙ 06/15/2021

Code Generation Based on Deep Learning: a Brief Review

Automatic software development has been a research hot spot in the field...

0 Qihao Zhu, et al. ∙

research

∙ 05/03/2021

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference

Recent advances in reinforcement learning have inspired increasing inter...

0 Xiaocong Chen, et al. ∙

research

∙ 02/23/2021

Dynamic Labeling for Unlabeled Graph Neural Networks

Existing graph neural networks (GNNs) largely rely on node embeddings, w...

0 Zeyu Sun, et al. ∙

research

∙ 12/21/2020

PEFP: Efficient k-hop Constrained s-t Simple Path Enumeration on FPGA

Graph plays a vital role in representing entities and their relationship...

0 Zhengmin Lai, et al. ∙

research

∙ 11/17/2020

Efficient and Effective Community Search on Large-scale Bipartite Graphs

Bipartite graphs are widely used to model relationships between two type...

0 Kai Wang, et al. ∙

research

∙ 08/05/2020

Exploring Cohesive Subgraphs with Vertex Engagement and Tie Strength in Bipartite Graphs

We propose a novel cohesive subgraph model called τ-strengthened (α,β)-c...

0 Yizhang He, et al. ∙

research

∙ 06/24/2020

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems

Matrix Factorization (MF) has been widely applied in machine learning an...

0 Yuanhang Yu, et al. ∙

research

∙ 06/20/2020

AOT: Pushing the Efficiency Boundary of Main-memory Triangle Listing

Triangle listing is an important topic significant in many practical app...

0 Michael Yu, et al. ∙

research

∙ 04/17/2020

Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation

Interactive recommendation aims to learn from dynamic interactions betwe...

7 Xiaocong Chen, et al. ∙

research

∙ 01/26/2020

NLocalSAT: Boosting Local Search with Solution Prediction

The boolean satisfiability problem is a famous NP-complete problem in co...

0 Wenjie Zhang, et al. ∙

research

∙ 01/16/2020

Efficient Bitruss Decomposition for Large-scale Bipartite Graphs

Cohesive subgraph mining in bipartite graphs becomes a popular research ...

0 Kai Wang, et al. ∙

research

∙ 11/20/2019

Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning

Generalized zero-shot learning (GZSL) tackles the problem of learning to...

12 Junjie Wang, et al. ∙

research

∙ 06/27/2019

A Survey and Experimental Analysis of Distributed Subgraph Matching

Recently there emerge many distributed algorithms that aim at solving su...

0 Longbin Lai, et al. ∙

research

∙ 06/27/2019

K-Core Maximization through Edge Additions

A popular model to measure the stability of a network is k-core - the ma...

0 Zhongxin Zhou, et al. ∙

research

∙ 04/29/2019

A Survey of Community Search Over Big Graphs

With the rapid development of information technologies, various big grap...

0 Yixiang Fang, et al. ∙

research

∙ 10/26/2018

Efficient and High-Quality Seeded Graph Matching: Employing High Order Structural Information

Driven by many real applications, we study the problem of seeded graph m...

0 Haida Zhang, et al. ∙

research

∙ 09/03/2018

GB-KMV: An Augmented KMV Sketch for Approximate Containment Similarity Search

In this paper, we study the problem of approximate containment similarit...

0 Yang Yang, et al. ∙

research

∙ 07/04/2018

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Driven by deep neural networks and large scale datasets, scene text dete...

0 Shangbang Long, et al. ∙

research

∙ 02/12/2018

Know Your Mind: Adaptive Brain Signal Classification with Reinforced Attentive Convolutional Neural Networks

Electroencephalography (EEG) signals reflect activities on certain brain...

0 Xiang Zhang, et al. ∙

research

∙ 11/16/2017

An Optimal and Progressive Approach to Online Search of Top-k Influential Communities

Community search over large graphs is a fundamental problem in graph ana...

0 Fei Bi, et al. ∙

research

∙ 10/31/2017

Dynamical SimRank Search on Time-Varying Networks

In this article, we study the efficient dynamical computation of all-pai...

0 Weiren Yu, et al. ∙

research

∙ 09/20/2017

Efficient Graph Edit Distance Computation and Verification via Anchor-aware Lower Bound Estimation

Graph edit distance (GED) is an important similarity measure adopted in ...

0 Lijun Chang, et al. ∙

research

∙ 01/18/2017

Effective Multi-Query Expansions: Collaborative Deep Networks for Robust Landmark Retrieval

Given a query photo issued by a user (q-user), the landmark retrieval is...

0 Yang Wang, et al. ∙

research

∙ 08/19/2016

Iterative Views Agreement: An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering

Multi-view spectral clustering, which aims at yielding an agreement or c...

0 Yang Wang, et al. ∙

Wenjie Zhang

Featured Co-authors