Book and Survey

• Book

  Broad Learning Through Fusions: An Application on Social Networks (1st Edition, 2019, Springer.)

  A Textbook, Hardcover ISBN: 978-3-030-12527-1, eBook ISBN: 978-3-030-12528-8.

  Jiawei Zhang and Philip S. Yu

  [preface], [ToC], [chap1], [chap2], [chap3], [chap4], [chap5], [chap6], [chap7], [chap8], [chap9], [chap10], [chap11], [chap12]

  IFM Lab, Springer, Amazon , data

• Survey

  Social Network Fusion and Mining: A Survey (2018)

  Jiawei Zhang

  arXiv, BIB , data

IFM Lab Tutorial Series

• #9

  Robot Kinematics: Motion, Kinematics and Dynamics (2022)

  Jiawei Zhang

  PDF, arXiv

• #8

  Robot Basics: Representation, Rotation and Velocity (2022)

  Jiawei Zhang

  PDF, arXiv

• #7

  Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview (2019)

  Jiawei Zhang

  PDF, arXiv

• #6

  Cognitive Functions of the Brain: Perception, Attention and Memory (2019)

  Jiawei Zhang

  PDF, arXiv, BIB

• #5

  Basic Neural Units of the Brain: Neurons, Synapses and Action Potential (2019)

  Jiawei Zhang

  PDF, arXiv, BIB

• #4

  Secrets of the Brain: An Introduction to the Brain Anatomical Structure and Biological Function (2019)

  Jiawei Zhang

  PDF, arXiv, BIB

• #3

  Derivative-Free Global Optimization Algorithms: Population based Methods and Random Search Approaches (2019)

  Jiawei Zhang

  PDF, arXiv, BIB

• #2

  Derivative-Free Global Optimization Algorithms: Bayesian Method and Lipschitzian Approaches (2019)

  Jiawei Zhang

  PDF, arXiv, BIB

• #1

  Gradient Descent based Optimization Algorithms for Deep Learning Models Training (2019)

  Jiawei Zhang

  PDF, arXiv, BIB

Conference, Workshop, Journal and Preprint Articles

2024

• preprint

  RPN: Reconciled Polynomial Network (Towards Unifying PGMs, Kernel SVMs, MLP and KAN)

  Jiawei Zhang

  arXiv, PDF, github , package , documentation

• preprint

  RPN 2: On Interdependence Function Learning (Towards Unifying and Advancing CNN, RNN, GNN, and Transformer)

  Jiawei Zhang

  arXiv, PDF, github , package , documentation

• preprint

  A Survey of AI-Generated Video Evaluation

  Xiao Liu, Xinhao Xiang, Zizhong Li, Yongheng Wang, Zhuoheng Li, Zhuosheng Liu, Weidi Zhang, Weiqi Ye, Jiawei Zhang

  arXiv

• preprint

  A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models

  Haopeng Zhang, Philip S. Yu and Jiawei Zhang

  arXiv

• preprint

  GPTA: Generative Prompt Tuning Assistant for Synergistic Downstream Neural Network Enhancement with LLMs

  Xiao Liu and Jiawei Zhang

  PDF

• preprint

  Intermediate Distillation: Data-Efficient Distillation from Black-Box LLMs for Information Retrieval

  Zizhong Li, Haopeng Zhang, Jiawei Zhang

  PDF

• KDD

  Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling

  Siwei Zhang, Xi Chen, Yun Xiong, Xixi Wu, Yao Zhang, Yongrui Fu, Yinglong Zhao and Jiawei Zhang

  arXiv

• KDD

  ProCom: A Few-shot Targeted Community Detection Algorithm

  Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao and Jiawei Zhang

  arXiv

• NAACL

  Unveiling the Magic: Investigating Attention Distillation in Retrieval-augmented Generation

  Zizhong Li, Haopeng Zhang and Jiawei Zhang

  PDF

• CVPR
  Workshop

  3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion

  The 1st Workshop on Multimodalities for 3D Scenes (M3DS 2023)

  Xinhao Xiang, Simon Dräger and Jiawei Zhang

  arXiv

• Neurips
  Workshop

  Beyond Directed Acyclic Computation Graph with Cyclic Neural Network

  The Workshop on NeuroAI: Fusing Neuroscience and AI for Intelligent Solutions

  Liangwei Yang, Hengrui Zhang, Zihe Song, Jiawei Zhang, Weizhi Zhang, Jing Ma and Philip S. Yu

  arXiv

• CIKM

  DTFormer: A Transformer- Based Method for Discrete-Time Dynamic Graph Representation Learning

  Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu and Weiqiang Wang

  arXiv

• CIKM

  GetCom: An Efficient and Generalizable Framework for Community Detection

  Kaiyu Xiong, Yucheng Jin, Yun Xiong and Jiawei Zhang

  ACM

• CIKM

  DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning

  Yingying Wang, Yun Xiong, Xixi Wu, Xiangguo Sun, Jiawei Zhang and Guangyong Zheng

  arXiv

• WWW
  Journel

  Bridging distribution gaps: invariant pattern discovery for dynamic graph learning

  Yucheng Jin, Maoyi Wang, Yun Xiong, Zhizhou Ren, Cuiying Huo, Feng Zhu, Jiawei Zhang, Guangzhong Wang and Haoran Chen

  Springer

2023

• preprint

  Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

  Jiawei Zhang

  arXiv, PDF, code

• preprint

  Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System

  Yunfan Gao, Tao Sheng, Youlin Xiang, Yun Xiong, Haofen Wang, Jiawei Zhang

  arXiv

• preprint

  3DifFusionDet: Diffusion Model for 3D Object Detection with Robust LiDAR-Camera Fusion

  Xinhao Xiang, Simon Dräger and Jiawei Zhang

  arXiv

• preprint

  FusionViT: Hierarchical 3D Object Detection via LiDAR-Camera Vision Transformer Fusion

  Xinhao Xiang and Jiawei Zhang

  arXiv

• preprint

  Beyond Text: Unveiling Multimodal Proficiency of Large Language Models with MultiAPI Benchmark

  Xiao Liu, Jianfeng Lin and Jiawei Zhang

  arXiv

• ACL
  Findings

  DiffuSum: Generation Enhanced Extractive Summarization with Diffusion

  Haopeng Zhang, Xiao Liu and Jiawei Zhang

  arXiv

• ACL
  Workshop

  Contrastive Hierarchical Discourse Graph for Scientific Document Summarization

  The 4th workshop on Computational Approaches to Discourse (CODI 2023)

  Haopeng Zhang, Xiao Liu and Jiawei Zhang

  arXiv

• EMNLP
  Findings

  SummIt: Iterative Text Summarization via ChatGPT

  Haopeng Zhang, Xiao Liu and Jiawei Zhang

  arXiv

• EMNLP
  Findings

  Contrastive Hierarchical Discourse Graph for Scientific Document Summarization

  Haopeng Zhang, Xiao Liu and Jiawei Zhang

  arXiv

• AACL
  Findings

  Unsupervised Multi-Document Summarization with Holistic Inference

  Haopeng Zhang, Sangwoo Cho, Kaiqiang Song, Xiaoyang Wang, Hongwei Wang, Jiawei Zhang and Dong Yu

  arXiv

• KDD
  Workshop

  Extractive Summarization via ChatGPT for Faithful Summary Generation

  Foundations and Applications in Large-scale AI Models Workshop at KDD 2023 conference (KDD LLM4AI 2023)

  Haopeng Zhang, Xiao Liu and Jiawei Zhang

  arXiv

• SIGIR

  Graph Collaborative Signals Denoising and Augmentation for Recommendation

  Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang and Philip S. Yu

  Best Short Paper Award Honorable Mention

  arXiv

• WWW

  ConsRec: Learning Consensus Behind Interactions for Group Recommendation

  Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao, Jiawei Zhang, Yangyong Zhu, Philip S. Yu

  arXiv

• CIKM

  Dual Intents Graph Modeling for User-centric Group Discovery

  Xixi Wu, Yun Xiong, Yao Zhang, Yizhu Jiao and Jiawei Zhang

  arXiv

• CIKM

  iLoRE: Dynamic Graph Representation with Instant Long-term Modeling and Re-occurrence Preservation

  Siwei Zhang, Yun Xiong, Yao Zhang, Xixi Wu, Yiheng Sun and Jiawei Zhang

  Paper

• CIKM

  Generative Graph Augmentation for Minority Class in Fraud Detection

  Lin Meng, Xiaonan Zhang, Jiawei Zhang, Hesham Mostafa and Marcel Nassar

  PDF

• DASFAA

  Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection

  Lin Meng, Yuxiang Ren and Jiawei Zhang.

  Paper

• DASFAA

  Automatic ICD Coding Based on Segmented ClinicalBERT with Hierarchical Tree Structure Learning

  Beichen Kang, Xiaosu Wang, Yun Xiong, Yao Zhang, Chaofan Zhou, Yangyong Zhu, Jiawei Zhang and Chunlei Tang

  Paper

• CogMI

  Location-Adaptive Generative Graph Augmentation for Fraud Detection

  Lin Meng, Xiaonan Zhang, Jiawei Zhang, Hesham Mostafa and Marcel Nassar

  PDF

• KAIS

  Temporal Super-Resolution Traffic Flow Forecasting via Continuous-Time Network Dynamics

  Yi Xie, Yun Xiong, Jiawei Zhang, Chao Chen, Yao Zhang, Jie Zhao, Yizhu Jiao, Jinjing Zhao and Yangyong Zhu

  PDF

• IJMLC

  Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces

  Li Sun, Junda Ye, Jiawei Zhang, Yong Yang, Mingsheng Liu, Feiyang Wang and Philip S. Yu

  Paper

• STAR
  Protocols

  Protocol for vision transformer- based evaluation of drug potency using images processed by an optimized Sobel operator

  Yongheng Wang, Weidi Zhang, Yi Wu, Chuyuan Qu, Hongru Hu, Teresa Lee, Siyu Lin, Jiawei Zhang Kit S. Lam and Aijun Wang

  Paper

• Patterns

  SIC50: Determination of IC50 by a Vision Transformer and an Optimized Sobel Operator

  Yongheng Wang, Weidi Zhang, Hoyin Yip, Chuyuan Qu, Hongru Hu, Xiaotie Chen, Teresa Lee, Xi Yang, Bingjun Yang, Priyadarsini Kumar, Su Yeon Lee, Javier, J. Casimiro, Jiawei Zhang, Aijun Wang, and Kit S. Lam

  paper

2022

• preprint

  Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning

  Jiawei Zhang

  arXiv, code

• AAAI

  A Self-supervised Mixed-curvature Graph Neural Network

  Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, {Jiawei Zhang}, Sen Su and Philip S. Yu

  arXiv

• EMNLP

  HEGEL: Hpyergraph Transformer for Long Document Summarization

  Haopeng Zhang, Xiao Liu and Jiawei Zhang

  arXiv

• ICML
  Workshop

  Deoscillated Graph Collaborative Filtering

  Workshop of Topology, Algebra, and Geometry in Machine Learning (TAG-ML)

  Zhiwei Liu, Lin Meng, Fei Jiang, Jiawei Zhang and Philip S. Yu

  arXiv

• BIBM

  Few-Shot Radiology Report Generation via Knowledge Transfer and Multi-modal Alignment

  Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang, Yangyong Zhu and Philip S. Yu

  arXiv

• IJCNN

  Stage Evolving Graph Neural Network based Dynamic Recommendation with Life Cycles

  Lin Meng, Haoran Yang and Jiawei Zhang

  PDF, BIB

• IS Journal

  Measuring and Sampling: A Metric- guided Subgraph Learning Framework for Graph Neural Network

  Jiyang Bai, Yuxiang Ren and Jiawei Zhang

  arXiv

• IS Journal

  DEAM: Adaptive Momentum with Discriminative Weight for Stochastic Optimization

  Jiyang Bai, Yuxiang Ren and Jiawei Zhang

  arXiv

• TNNLS

  Context-aware Attentive Multi-level Feature Fusion for Named Entity Recognition

  Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma and Yi Chang

  arXiv

2021

• ICDE

  EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph

  Yuxiang Ren, Hao Zhu, Jiawei Zhang, Peng Dai, Liefeng Bo

  arXiv

• AAAI

  Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs

  Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su and Philip S. Yu

  arXiv

• CIKM

  Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation

  Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng and Philip Yu

  arXiv

• WSDM

  AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation

  Qingqin Wang, Yun Xiong, Yao Zhang, Jiawei Zhang and Yangyong Zhu

  PDF

• DASFAA

  Label Contrastive Coding based Graph Neural Network for Graph Classification

  Yuxiang Ren, Jiyang Bai and Jiawei Zhang

  arXiv

• IJCNN

  Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention

  Yuxiang Ren, Jiawei Zhang

  arXiv, code

• IJCNN

  Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network

  Jiyang Bai, Yuxiang Ren, Jiawei Zhang

  arXiv

• IJCNN

  BGADAM: Boosting based Genetic-Evolutionary ADAM for Convolutional Neural Network Optimization

  Jiyang Bai, Yuxiang Ren and Jiawei Zhang

  arXiv

• BIBM

  Radiology Report Generation for Rare Diseases via Few-shot Transformer

  Xing Jia, Yun Xiong, Jiawei Zhang, Blackley Suzanne, Yangyong Zhu and Chunlei Tang

  arXiv

• TKDE

  ActiveIter: Meta Diagram based Active Learning in Social Networks Alignment

  Yuxiang Ren, Charu C. Aggarwal and Jiawei Zhang

  PDF

• KAIS

  Scalable Self-Supervised Graph Representation Learning via Enhancing and Contrasting Subgraphs

  Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang and Yangyong Zhu

  arXiv

2020

• preprint

  G5: A Universal GRAPH-BERT for Graph-to-Graph Transfer and Apocalypse Learning

  Jiawei Zhang

  arXiv, code

• preprint

  Graph Neural Distance Metric Learning with GRAPH-BERT

  Jiawei Zhang

  PDF, arXiv, code

• preprint

  Segmented GRAPH-BERT for Graph Instance Modeling

  Jiawei Zhang

  PDF, arXiv, code

• preprint

  GRAPH-BERT: Only Attention is Needed for Learning Graph Representations

  Jiawei Zhang, Haopeng Zhang, Congying Xia and Li Sun

  PDF, arXiv, code

• preprint

  CG- BERT: Conditional Text Generation with BERT for Generalized Few-shot Intent Detection

  Congying Xia, Chenwei Zhang, Hoang Nguyen, Jiawei Zhang and Philip S. Yu

  arXiv

• ICDE

  FAKEDETECTOR: Effective Fake News Detection with Deep Diffusive Neural Network

  Jiawei Zhang, Bowen Dong and Philip S. Yu

  PDF, BIB

• IJCAI

  Attention- based Multi-level Feature Fusion for Named Entity Recognition

  Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma and Yi Chang

  PDF

• IJCAI

  BANANA: when Behavior ANAlysis meets social Network Alignment

  Fuxin Ren, Zhongbao Zhang, Jiawei Zhang, Sen Su, Li Sun, Guozhen Zhu and Congying Guo

  PDF

• AAAI

  Learning Signed Network Embedding via Graph Attention

  Yu Li, Jiawei Zhang and Yi Chang

  PDF

• AAAI
  Workshop

  Heterogeneous Deep Graph Infomax

  Workshop of Deep Learning on Graphs: Methodologies and Applications

  Yuxiang Ren, Bo Liu, Chao Huang, Peng Dai, Liefeng Bo, Jiawei Zhang

  arXiv

• EMNLP

  Text Graph Transformer for Document Classification

  Haopeng Zhang and Jiawei Zhang

  arXiv

• ICML
  Workshop

  Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification

  Workshop of Graph Representation Learning and Beyond (GRL+)

  Jiawei Zhang

  arXiv, code

• ICDM

  Adversarial Active Learning based Heterogeneous Graph Neural Network for Fake News Detection

  Yuxiang Ren, Bo Wang, Jiawei Zhang and Yi Chang

  arXiv

• ICDM

  PERFECT: A Hyperbolic Embedding for Joint Social Network Alignment

  Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Yang Du, Sen Su and Philip S. Yu

  PDF

• ICDM

  Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

  Yizhu Jiao, Yun Xiong, Jiawei Zhang, Yao Zhang, Tianqi Zhang and Yangyong Zhu

  Best Student Paper Runner-up Award

  arXiv

• CIKM

  CommDGI: Community Detection Oriented Deep Graph Infomax

  Tianqi Zhang, Yun Xiong, Jiawei Zhang, Yao Zhang, Yizhu Jiao and Yangyong Zhu

  PDF

• HT

  Scalable Heterogeneous Social Network Alignment through Synergistic Graph Partition

  Yuxiang Ren, Lin Meng and Jiawei Zhang

  arXiv

• ASONAM

  DEAM: Accumulated Momentum with Discriminative Weight for Stochastic Optimization

  Jiyang Bai, Yuxiang Ren and Jiawei Zhang

  arXiv, BIB

• BIBM

  Few-shot Radiology Report Generation for Rare Diseases

  Xing Jia, Yun Xiong, Jiawei Zhang, Yao Zhang and Yangyong Zhu

  arXiv

• CIC

  Discovering Localized Information for Heterogeneous Graph Node Representation Learning

  Lin Meng, Ning Yan, Masood Mortazavi, Jiawei Zhang

  PDF

• CogMI

  Low-shot Learning in Natural Language Processing

  Congying Xia, Chenwei Zhang, Jiawei Zhang, Tingting Liang, Hao Peng and Philip S. Yu

  arXiv

• TKDE

  Locally Balanced Inductive Matrix Completion for Demand-Supply Inference in Stationless Bike-Sharing Systems.

  Senzhang Wang, Hao Chen, Jiannong Cao, Jiawei Zhang and Philip S. Yu

  PDF, BIB

2019

• preprint

  GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation

  Jiawei Zhang and Lin Meng

  arXiv, code

• preprint

  Graph Neural Lasso for Dynamic Network Regression

  Yixin Chen, Lin Meng and Jiawei Zhang

  arXiv, BIB

• NIPS
  Workshop

  IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification

  Graph Representation Learning Workshop

  Lin Meng and Jiawei Zhang

  arXiv, BIB , data, code

• ICDE

  Meta Diagram based Active Social Networks Alignment

  Yuxiang Ren, Charu C. Aggarwal and Jiawei Zhang

  PDF, BIB

• IJCAI

  Learning Network Embedding with Community Structural Information

  Yu Li, Ying Wang, Tingting Zhang, Jiawei Zhang and Yi Chang

  PDF, BIB

• SIGIR

  Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation

  Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang and Philip Yu

  PDF, BIB

• SIGIR

  Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation

  Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang and Philip Yu

  PDF, BIB

• CIKM

  Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention

  Yizhu Jiao, Yun Xiong, Jiawei Zhang and Yangyong Zhu

  PDF, BIB

• IJCNN

  Missing Entity Synergistic Completion across Multiple Isomeric Online Knowledge Libraries

  Bowen Dong, Jiawei Zhang, Chenwei Zhang, Yang Yang and Philip S. Yu

  PDF, BIB

• IEEE
  BigData

  LATTE: Application Oriented Network Embedding

  Lin Meng, Jiyang Bai and Jiawei Zhang

  PDF

• IEEE
  BigData

  Deep Diffusive Neural Network based Fake News Detection from Heterogeneous Social Networks

  Jiawei Zhang, Bowen Dong and Philip S. Yu

  arXiv

• IEEE
  BigData

  JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation

  Zhiwei Liu, Lei Zheng, Jiawei Zhang, Jiayu Han and Philip S. Yu

  PDF

• CIC

  Deep Heterogeneous Social Network Alignment

  Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye and Philip S. Yu.

  PDF

• TKDD

  Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks

  Sina Sajadmanesh, Sogol Bazargani, Jiawei Zhang and Hamid R. Rabiee

  PDF, BIB

• KAIS

  Integrated Anchor and Social Link Predictions across Multiple Social Networks

  Qianyi Zhan, Jiawei Zhang and Philip S. Yu

  PDF, BIB

• IJMIR

  Multi-view Collective Tensor Decomposition for Cross-modal Hashing

  Limeng Cui, Jiawei Zhang, Lifang He and Philip S. Yu

  PDF, BIB

• Access

  Approximate Similarity Measurements on Multi-Attributes Trajectories Data

  Xiao Pan, Ma Ang, Jiawei Zhang and Lei Wu

  PDF, BIB

2018

• Book
  Chapter

  Chapter: Broad Learning based Social Community Detection.

  Jiawei Zhang and Philip S. Yu

  In: Big Data Clustering. Springer

  PDF, BIB

• KDD

  You Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis

  Pengyang Wang, Yanjie Fu, Jiawei Zhang, Pengfei Wang, Yu Zheng and Charu Aggarwal

  Best Student Paper Runner-up Award

  PDF, BIB

• ICDM

  A Self-Organizing Tensor Architecture for Multi-View Clustering

  Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu and Fei Wang

  PDF, BIB

• ICMR

  Multi-view Collective Tensor Decomposition for Cross-modal Hashing

  Limeng Cui, Zhensong Chen, Jiawei Zhang, Philip S. Yu, Yong Shi and Lifang He

  PDF, BIB

• RecSys

  Spectral Collaborative Filtering

  Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang and Philip S. Yu

  PDF, BIB

• SDM

  Modeling the Interaction Coupling of Multi-View Spatiotemporal Contexts for Destination Prediction

  Kunpeng Liu, Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu and Sajal K. Das

  PDF, BIB

• SDM

  Ensemble-Spotting: Ranking Urban Vibrancy via POI Embedding with Multi-view Spatial Graphs

  Pengyang Wang, Jiawei Zhang, Guannan Liu, Yanjie Fu and Charu C. Aggarwal.

  PDF, BIB

• ICIP

  Multi-view Fusion Through Cross-Modal Retrieval

  Limeng Cui, Zhensong Chen, Jiawei Zhang, Lifang He, Yong Shi and Philip S. Yu

  PDF, BIB

• IEEE
  BigData

  Data-driven Blockbuster Planning on Online Movie Knowledge Library

  Ye Liu, Jiawei Zhang, Chenwei Zhang and Philip S. Yu

  PDF, BIB

• KDD
  Explorations

  Broad Learning: An Emerging Area in Social Network Analysis

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• TIST

  Learning Urban Community Structures: A Collective Embedding Perspective with Periodic Spatial-temporal Mobility Graphs

  Pengyang Wang, Yanjie Fu, Jiawei Zhang, Xiaolin Li and Dan Lin

  PDF, BIB

• IEEE
  TBD

  Effective Prediction of Missing Data on Apache Spark over Multivariable Time Series

  Weiwei Shi, Yongxin Zhu, Philip S. Yu, Jiawei Zhang, Tian Huang, Chang Wang, and Yufeng Chen

  PDF, BIB

• Access

  Deep Dynamic Network Embedding for Link Prediction

  Taisong Li, Jiawei Zhang, Philip Yu, Yan Zhang and Yonghong Yan

  PDF, BIB

2017

• Book
  Chapter

  Chapter 6: Fusion Learning on Heterogeneous Social Networks

  Jiawei Zhang

  In: Heterogeneous Information Network Analysis and Applications. Chuan Shi and Philip S. Yu.

  PDF, BIB ,

• ICDE

  Link Prediction across Aligned Networks with Sparse Low Rank Matrix Estimation

  Jiawei Zhang, Jianhui Chen, Shi Zhi, Yi Chang, Philip S. Yu and Jiawei Han

  PDF, BIB

• ICDE

  Enterprise Social Community Detection

  Jiawei Zhang, Philip S. Yu and Yuanhua Lv

  PDF, BIB

• ICDM

  BL-MNE: Emerging Heterogeneous Social Network Embedding through Broad Learning with Aligned Autoencoder

  Jiawei Zhang, Congying Xia, Chenwei Zhang, Limeng Cui, Yanjie Fu, and Philip S. Yu

  PDF, BIB , Code

• CIKM

  BL-ECD: Broad Learning based Enterprise Community Detection via Hierarchical Structure Fusion

  Jiawei Zhang, Limeng Cui, Philip S. Yu, Yuanhua Lv and Yanjie Fu

  PDF, BIB

• CIKM

  Broad Learning based Multi-Source Collaborative Recommendation

  Zhu Junxing, Jiawei Zhang, Lifang He, Quanyuan Wu, Bin Zhou, Chenwei Zhang and Philip Yu

  PDF, BIB

• WSDM

  Link Prediction with Cardinality Constraints

  Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, and Philip S. Yu

  PDF, BIB

• WSDM

  Enterprise Employee Training via Project Team Formation

  Jiawei Zhang, Philip S. Yu, Yuanhua Lv

  PDF, BIB

• ICDCS

  Rumor Initiator Detection in Infected Signed Network

  Jiawei Zhang, Charu Aggarwal and Philip S. Yu

  PDF, BIB

• IEEE
  BigData

  Inverse Extreme Learning Machine for Learning with Label Proportions

  Limeng Cui, Jiawei Zhang, Zhensong Chen, Yong Shi, and Philip S. Yu

  PDF, BIB

• IEEE
  BigData

  Contaminant Removal for Android Malware Detection Systems

  Lichao Sun, Xiaokai Wei , Jiawei Zhang, Lifang He, Philip S. Yu, and Witawas Srisa-an

  PDF, arXiv, BIB

• IEEE
  BigData
  Congress

  Social Attitude Expression Prediction in Signed Networks

  Jiawei Zhang, Philip S. Yu, Charu Aggarwal and Limeng Cui

  PDF, BIB

• Sensors

  Constrained Active Learning for Anchor Link Prediction across Heterogeneous Social Networks

  Junxing Zhu, Jiawei Zhang, Quanyuan Wu, Bin Zhou, Xiaokai Wei and Philip S. Yu

  PDF, BIB

• IEEE
  Access

  CHRS: Cold Start Recommendation across Multiple Heterogeneous Information Networks

  Junxing Zhu, Jiawei Zhang, Chenwei Zhang, Quanyuan Wu, Yan Jia, Bin Zhou and Philip S. Yu

  PDF, BIB

• WWW
  Journal

  Community detection for emerging social networks

  Qianyi Zhan, Jiawei Zhang, Philip S. Yu and Junyuan Xie

  PDF, BIB

• NanoBio
  Science

  Inferring Social Influence of Anti-Tobacco Mass Media Campaigns

  Qianyi Zhan, Jiawei Zhang, Philip S. Yu, Sherry Emery and Junyuan Xie

  PDF, BIB

2016

• Book
  Chapter

  Chapter: Cross-Platform Social Network Analysis.

  Jiawei Zhang and Philip S. Yu

  In: Encyclopedia of Social Network Analysis and Mining, 2nd Edition

  PDF, BIB

• WWW

  PCT: Partial Co-Alignment of Social Networks

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• WWW

  HeteroSales: Utilizing Heterogeneous Social Networks to Identify the Next Enterprise Customer

  Qingbo Hu, Sihong Xie, Jiawei Zhang, Qiang Zhu and Philip S. Yu

  PDF, BIB

• SIG
  SPATIAL

  Bicycle-Sharing Systems Expansion: Station Re-Deployment through Crowd Planning

  Jiawei Zhang, Xiao Pan, Moyin Li and Philip S. Yu

  PDF, BIB

• CIKM

  Information Diffusion at Workplace

  Jiawei Zhang, Philip S. Yu, Yuanhua Lv and Qianyi Zhan

  PDF, BIB

• BIBM

  Inferring Social Influence of Anti-Tobacco Mass Media Campaigns

  Qianyi Zhan, Jiawei Zhang and Philip S. Yu

  PDF, BIB

• ECML/
  PKDD

  Trust Hole Identification in Signed Networks

  Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal and Philip S. Yu

  PDF, BIB

• ECML/
  PKDD

  Multi-Graph Clustering based on Interior-Node Topology with Applications to Brain Networks

  Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, and Ann B. Ragin

  PDF, BIB

• IJCNN

  Multi-Source Multi-View Clustering via Discrepancy Penalty

  Weixiang Shao, Jiawei Zhang, Lifang He and Philip S. Yu

  PDF, BIB

• ASONAM

  Social Badge System Analysis.

  Jiawei Zhang, Xiangnan Kong and Philip S. Yu

  Best Student Paper Runner-up Award

  PDF, BIB

• ASONAM

  Intertwined Viral Marketing in Social Networks

  Jiawei Zhang, Senzhang Wang, Qianyi Zhan and Philip S. Yu

  PDF, BIB

• IEEE
  BigData

  Distance-based Social Discovery with Posterior Privacy Verification

  Xiao Pan, Jiawei Zhang, Fengjiao Wang and Philip S. Yu

  PDF, BIB

• IRI

  Discover Tipping Users For Cross Network Influencing

  Qianyi Zhan, Jiawei Zhang, Philip S. Yu and Junyuan Xie

  PDF, BIB

• MDM

  Bicycle-Sharing System Analysis and Trip Prediction

  Jiawei Zhang, Xiao Pan, Moyin Li and Philip S. Yu

  PDF, BIB

• CIC

  Trip Route Planning for Bicycle-Sharing Systems

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• TKDE

  A Survey of Heterogeneous Information Network Analysis

  Chuan Shi, Yitong Li, Jiawei Zhang, Yizhou Sun and Philip S. Yu

  arXiv, BIB , Slides

• AISC

  Concurrent Alignment of Multiple Anonymized Social Networks with Generic Stable Matching

  Jiawei Zhang, Qianyi Zhan and Philip S. Yu

  PDF, BIB

• STBD

  Mutual Community Detection across Multiple Partially Aligned Social Networks

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

2015

• KDD

  Organizational Chart Inference

  Jiawei Zhang, Philip S. Yu and Yuanhua Lv

  PDF, BIB

• ICDM

  Multiple Anonymized Social Networks Alignment

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• IJCAI

  Integrated Anchor and Social Link Predictions across Partially Aligned Social Networks

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• CIKM

  Enterprise Social Link Recommendation

  Jiawei Zhang, Yuanhua Lv and Philip S. Yu

  PDF, BIB

• SDM

  Community Detection for Emerging Networks

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• IRI

  PNA: Partial Network Alignment with Generic Stable Matching

  Jiawei Zhang, Weixiang Shao, Senzhang Wang, Xiangnan Kong and Philip S. Yu

  PDF, BIB

• IEEE
  BigData
  Congress

  MCD: Mutual Clustering across Multiple Heterogeneous Networks

  Jiawei Zhang and Philip S. Yu

  PDF, BIB

• PAKDD

  Influence Maximization across Partially Aligned Heterogenous Social Networks

  Qianyi Zhan, Jiawei Zhang, Senzhang Wang, Philip S. Yu and Junyuan Xie

  PDF, BIB

• DASFAA

  Inferring Diffusion Networks with Structure Transfer

  Senzhang Wang, Honghui Zhang, Jiawei Zhang, Xiaoming Zhang, Philip S. Yu and Zhoujun Li

  PDF, BIB

2014

• Technical
  Report

  Link Prediction across Heterogeneous Social Networks: A Survey

  Jiawei Zhang

  PDF, BIB

• KDD

  Meta-path based Multi-network Collective Link Prediction

  Jiawei Zhang, Philip S. Yu and Zhi-Hua Zhou

  PDF, BIB

• WSDM

  Transferring Heterogeneous Links across Location-Based Social Networks

  Jiawei Zhang, Xiangnan Kong and Philip S. Yu

  PDF, BIB

• IEEE
  BigData

  Synergistic Partitioning in Multiple Large Scale Social Networks

  Songchang Jin, Jiawei Zhang, Philip S. Yu, Shuqiang Yang and Aiping Li

  PDF, BIB

2013

• ICDM

  Predicting Social Links for New Users across Aligned Heterogeneous Social Networks

  Jiawei Zhang, Xiangnan Kong and Philip S. Yu

  PDF, BIB

• CIKM

  Inferring Anchor Links across Heterogeneous Social Networks

  Xiangnan Kong, Jiawei Zhang and Philip S. Yu

  PDF, BIB