Jing Zhang

Orcid: 0000-0003-2019-225X

Affiliations:
  • Renmin University, Department of Computer Science, Beijing, China
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China (PhD 2016)


According to our database1, Jing Zhang authored at least 72 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Are Synthetic Time-series Data Really not as Good as Real Data?
CoRR, 2024

2023
GCCAD: Graph Contrastive Coding for Anomaly Detection.
IEEE Trans. Knowl. Data Eng., August, 2023

A Multi-strategy-based Pre-training Method for Cold-start Recommendation.
ACM Trans. Inf. Syst., April, 2023

Self-Supervised Learning: Generative or Contrastive.
IEEE Trans. Knowl. Data Eng., 2023

OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., 2023

Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Understanding WeChat User Preferences and "Wow" Diffusion.
IEEE Trans. Knowl. Data Eng., 2022

Robust Network Enhancement From Flawed Networks.
IEEE Trans. Knowl. Data Eng., 2022

CONNA: Addressing Name Disambiguation on the Fly.
IEEE Trans. Knowl. Data Eng., 2022

ClusterSCL: Cluster-Aware Supervised Contrastive Learning on Graphs.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Knowledge-augmented Self-training of A Question Rewriter for Conversational Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

DSM: Question Generation over Knowledge Base via Modeling Diverse Subgraphs with Meta-learner.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CODE: Contrastive Pre-training with Adversarial Fine-Tuning for Zero-Shot Expert Linking.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Injecting Numerical Reasoning Skills into Knowledge Base Question Answering Models.
CoRR, 2021

Self-supervised Graph Learning for Occasional Group Recommendation.
CoRR, 2021

XiaoMu: an AI-driven assistant for MOOCs.
Sci. China Inf. Sci., 2021

Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation.
Proceedings of the WSDM '21, 2021

Decoupling Representation Learning and Classification for GNN-based Anomaly Detection.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

P-INT: A Path-based Interaction Model for Few-shot Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Trust Relationship Prediction in Alibaba E-Commerce Platform.
IEEE Trans. Knowl. Data Eng., 2020

COAD: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking.
CoRR, 2020

An effective scheme for top-k frequent itemset mining under differential privacy conditions.
Sci. China Inf. Sci., 2020

Recommending Courses in MOOCs for Jobs: An Auto Weak Supervision Approach.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

A Distributed Coordinate Descent Algorithm for Learning Factorization Machine.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

JarKA: Modeling Attribute Interactions for Cross-lingual Knowledge Alignment.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

BERT-INT: A BERT-based Interaction Model For Knowledge Graph Alignment.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Graph Convolutional Network Using a Reliability-Based Feature Aggregation Mechanism.
Proceedings of the Database Systems for Advanced Applications, 2020

Few-Shot Representation Learning for Cold-Start Users and Items.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020

2019
深度神经网络压缩综述 (Survey of Compressed Deep Neural Network).
计算机科学, 2019

AMiner: Search and Mining of Academic Social Networks.
Data Intell., 2019

RAKA: Co-training of Relationships and Attributes for Cross-lingual Knowledge Alignment.
CoRR, 2019

CONNA: Addressing Name Disambiguation on The Fly.
CoRR, 2019

Hierarchical Reinforcement Learning for Course Recommendation in MOOCs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Profiling Web users using big data.
Soc. Netw. Anal. Min., 2018

CDSFM: A Circular Distributed SGLD-Based Factorization Machines.
Proceedings of the Database Systems for Advanced Applications, 2018

MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Fast and Flexible Top-<i>k</i> Similarity Search on Large Networks.
ACM Trans. Inf. Syst., 2017

StructInf: Mining Structural Influence from Social Streams.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Knowledge Fragment Enrichment Using Domain Knowledge Base.
Proceedings of the Social Media Processing - 5th National Conference, 2016

Web user profiling using data redundancy.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
Diffusion of "Following" Links in Microblogging Networks.
IEEE Trans. Knowl. Data Eng., 2015

Who Influenced You? Predicting Retweet via Social Influence Locality.
ACM Trans. Knowl. Discov. Data, 2015

Panther: Fast Top-k Similarity Search on Large Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

CoupledLP: Link Prediction in Coupled Networks.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Role-Aware Conformity Modeling and Analysis in Social Networks.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
SAE: social analytic engine for large networks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Social Influence Locality for Modeling Retweeting Behaviors.
Proceedings of the IJCAI 2013, 2013

2012
A Unified Probabilistic Framework for Name Disambiguation in Digital Library.
IEEE Trans. Knowl. Data Eng., 2012

2011
Topic level expertise search over heterogeneous networks.
Mach. Learn., 2011

2010
A Combination Approach to Web User Profiling.
ACM Trans. Knowl. Discov. Data, 2010

Modeling the evolution of associated data.
Data Knowl. Eng., 2010

2009
Topic-Level Random Walk through Probabilistic Model.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

A Discriminative Approach to Topic-Based Citation Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Topic Distributions over Links on Web.
Proceedings of the ICDM 2009, 2009

2008
Arnetminer: expertise oriented search using social networks.
Frontiers Comput. Sci. China, 2008

A unified framework for name disambiguation.
Proceedings of the 17th International Conference on World Wide Web, 2008

Extraction and mining of an academic social network.
Proceedings of the 17th International Conference on World Wide Web, 2008

Recommendation over a Heterogeneous Social Network.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

Name Disambiguation Using Atomic Clusters.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

A Mixture Model for Expert Finding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2008

ArnetMiner: extraction and mining of academic social networks.
Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

An Automatic Voice Query System for Bank Based on Telephone Network.
Proceedings of the International Symposium on Information Processing, 2008

A Topic Modeling Approach and Its Integration into the Random Walk Framework for Academic Search.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
EOS: expertise oriented search using social networks.
Proceedings of the 16th International Conference on World Wide Web, 2007

ArnetMiner: An Expertise Oriented Search System for Web Community.
Proceedings of the Semantic Web Challenge 2007 co-located with ISWC 2007 + ASWC 2007, 2007

Expert Finding in a Social Network.
Proceedings of the Advances in Databases: Concepts, 2007


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