Jie Tang

Orcid: 0000-0003-3487-4593

Affiliations:
  • Tsinghua University, Department of Computer Science and Technology, Beijing, China


According to our database1, Jie Tang authored at least 487 papers between 2003 and 2024.

Collaborative distances:

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Bibliography

2024
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction.
IEEE Trans. Knowl. Data Eng., February, 2024

Personalized recommendation via inductive spatiotemporal graph neural network.
Pattern Recognit., January, 2024

LongAlign: A Recipe for Long Context Alignment of Large Language Models.
CoRR, 2024

2023
SketchNE: Embedding Billion-Scale Networks Accurately in One Hour.
IEEE Trans. Knowl. Data Eng., October, 2023

OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs.
IEEE Trans. Knowl. Data Eng., September, 2023

Towards Lightweight and Automated Representation Learning System for Networks.
IEEE Trans. Knowl. Data Eng., September, 2023

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.
ACM Trans. Web, August, 2023

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

Improved the heterodimer protein complex prediction with protein language models.
Briefings Bioinform., July, 2023

Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation.
IEEE Trans. Knowl. Data Eng., June, 2023

Hierarchical Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023

Automated Unsupervised Graph Representation Learning.
IEEE Trans. Knowl. Data Eng., March, 2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.
Nat. Mac. Intell., March, 2023

HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving.
Knowl. Based Syst., March, 2023

Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images.
Medical Biol. Eng. Comput., February, 2023

MRT: Tracing the Evolution of Scientific Publications.
IEEE Trans. Knowl. Data Eng., 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

CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning.
IEEE Trans. Knowl. Data Eng., 2023

CogVLM: Visual Expert for Pretrained Language Models.
CoRR, 2023

AgentTuning: Enabling Generalized Agent Abilities for LLMs.
CoRR, 2023

Relay Diffusion: Unifying diffusion process across resolutions for image synthesis.
CoRR, 2023

GPT Can Solve Mathematical Problems Without a Calculator.
CoRR, 2023

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.
CoRR, 2023

AgentBench: Evaluating LLMs as Agents.
CoRR, 2023

KoLA: Carefully Benchmarking World Knowledge of Large Language Models.
CoRR, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
CoRR, 2023

Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration.
CoRR, 2023

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation.
CoRR, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X.
CoRR, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
CoRR, 2023

ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner.
Proceedings of the ACM Web Conference 2023, 2023

CogDL: A Comprehensive Library for Graph Deep Learning.
Proceedings of the ACM Web Conference 2023, 2023

MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 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

Research and device development based on broadband and wide-range current transformer compensation technology.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

GLM-130B: An Open Bilingual Pre-trained Model.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Modelling High-Order Social Relations for Item Recommendation (Extended Abstract).
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FFAEval: Evaluating Dialogue System via Free-For-All Ranking.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Detecting Social Bot on the Fly using Contrastive Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Hierarchical label with imbalance and attributed network structure fusion for network embedding.
AI Open, January, 2022

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

Modelling High-Order Social Relations for Item Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

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

Probabilistic Hierarchical Quantum Information Splitting of Arbitrary Multi-Qubit States.
Entropy, 2022

GLM-130B: An Open Bilingual Pre-trained Model.
CoRR, 2022

Towards a General Pre-training Framework for Adaptive Learning in MOOCs.
CoRR, 2022

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers.
CoRR, 2022

GACT: Activation Compressed Training for General Architectures.
CoRR, 2022

Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks.
CoRR, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.
CoRR, 2022

Training Free Graph Neural Networks for Graph Matching.
CoRR, 2022

STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

GRAND+: Scalable Graph Random Neural Networks.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

BaGuaLu: targeting brain scale pretrained models with over 37 million cores.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022

CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GraphMAE: Self-Supervised Masked Graph Autoencoders.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Toward Graph Minimally-Supervised Learning.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Rethinking the Setting of Semi-supervised Learning on Graphs.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

GACT: Activation Compressed Training for Generic Network Architectures.
Proceedings of the International Conference on Machine Learning, 2022

Parameter-Efficient Tuning Makes a Good Classification Head.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

HOSMEL: A Hot-Swappable Modularized Entity Linking Toolkit for Chinese.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

DeepStruct: Pretraining of Language Models for Structure Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

GLM: General Language Model Pretraining with Autoregressive Blank Infilling.
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
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure.
IEEE Trans. Knowl. Data Eng., 2021

POLAR++: Active One-Shot Personalized Article Recommendation.
IEEE Trans. Knowl. Data Eng., 2021

ACM Web Science Conference 2021: conference report.
SIGWEB Newsl., 2021

Turing Award elites revisited: patterns of productivity, collaboration, authorship and impact.
Scientometrics, 2021

On embedding sequence correlations in attributed network for semi-supervised node classification.
Inf. Sci., 2021

DeepEmLAN: Deep embedding learning for attributed networks.
Inf. Sci., 2021

Hierarchical community structure preserving approach for network embedding.
Inf. Sci., 2021

Structure and Learning (Dagstuhl Seminar 21362).
Dagstuhl Reports, 2021

Improving the Training of Graph Neural Networks with Consistency Regularization.
CoRR, 2021

NetMF+: Network Embedding Based on Fast and Effective Single-Pass Randomized Matrix Factorization.
CoRR, 2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.
CoRR, 2021

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding.
CoRR, 2021

Modeling Protein Using Large-scale Pretrain Language Model.
CoRR, 2021

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning.
CoRR, 2021

Pre-Trained Models: Past, Present and Future.
CoRR, 2021

FastMoE: A Fast Mixture-of-Expert Training System.
CoRR, 2021

GPT Understands, Too.
CoRR, 2021

All NLP Tasks Are Generation Tasks: A General Pretraining Framework.
CoRR, 2021

OAG-BERT: Pre-train Heterogeneous Entity-augmented Academic Language Models.
CoRR, 2021

CogDL: An Extensive Toolkit for Deep Learning on Graphs.
CoRR, 2021

M6: A Chinese Multimodal Pretrainer.
CoRR, 2021

Name disambiguation in AMiner.
Sci. China Inf. Sci., 2021

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

CPM: A large-scale generative Chinese Pre-trained language model.
AI Open, 2021

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.
AI Open, 2021

Network representation learning: A macro and micro view.
AI Open, 2021

Pre-trained models: Past, present and future.
AI Open, 2021

Expertise-Aware Crowdsourcing Taxonomy Enrichment.
Proceedings of the Web Information Systems Engineering - WISE 2021, 2021

LightNE: A Lightweight Graph Processing System for Network Embedding.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Adaptive Diffusion in Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Hierarchical Reinforcement Learning Based Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CogView: Mastering Text-to-Image Generation via Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

TDGIA: Effective Injection Attacks on Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Controllable Generation from Pre-trained Language Models via Inverse Prompting.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Are we really making much progress?: Revisiting, benchmarking and refining heterogeneous graph neural networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The International Workshop on Pretraining: Algorithms, Architectures, and Applications ([email protected] 2021).
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SINR Maximization for RIS-Assisted Secure Dual-Function Radar Communication Systems.
Proceedings of the IEEE Global Communications Conference, 2021

Zero-Shot Information Extraction as a Unified Text-to-Triple Translation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
A Multi-Label Classification Method Using a Hierarchical and Transparent Representation for Paper-Reviewer Recommendation.
ACM Trans. Inf. Syst., 2020

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

Incomplete Network Alignment: Problem Definitions and Fast Solutions.
ACM Trans. Knowl. Discov. Data, 2020

Guest Editorial Special Issue on Privacy and Security in Computational Intelligence.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Message from the Incoming Editor-in-Chief.
IEEE Trans. Big Data, 2020

Science behind AI: the evolution of trend, mobility, and collaboration.
Scientometrics, 2020

Mapping the technology evolution path: a novel model for dynamic topic detection and tracking.
Scientometrics, 2020

Exploiting word embedding for heterogeneous topic model towards patent recommendation.
Scientometrics, 2020

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

Concentration Bounds for Co-occurrence Matrices of Markov Chains.
CoRR, 2020

A framework for constructing a huge name disambiguation dataset: algorithms, visualization and human collaboration.
CoRR, 2020

Attention: to Better Stand on the Shoulders of Giants.
CoRR, 2020

Graph Random Neural Network.
CoRR, 2020

Expert finding in community question answering: a review.
Artif. Intell. Rev., 2020

AI OPEN inaugural editorial.
AI Open, 2020

International Scientific Collaboration in Artificial Intelligence An Analysis based on Web Data.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

AI 2000: A Decade of Artificial Intelligence.
Proceedings of the WebSci '20: 12th ACM Conference on Web Science, 2020

Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Graph Random Neural Networks for Semi-Supervised Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CogLTX: Applying BERT to Long Texts.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Understanding Negative Sampling in Graph Representation Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on 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

Controllable Multi-Interest Framework for Recommendation.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Heterogeneous Network Representation Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Blockwise Self-Attention for Long Document Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Rooted citation graphs density metrics for research papers influence evaluation.
J. Informetrics, 2019

Analyzing stock market trends using social media user moods and social influence.
J. Assoc. Inf. Sci. Technol., 2019

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

A multi-label classification method using a hierarchical and transparent representation for paper-reviewer recommendation.
CoRR, 2019

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

Identify and understand pay-it-forward reciprocity using millions of online red packets.
CoRR, 2019

Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models.
CoRR, 2019

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning.
CoRR, 2019

NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization.
Proceedings of the World Wide Web Conference, 2019

Panel: Computational Methods about Knowledge Graph.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Representation Learning on Networks: Theories, Algorithms, and Applications.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

EFCNN: A Restricted Convolutional Neural Network for Expert Finding.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

OAG: Toward Linking Large-scale Heterogeneous Entity Graphs.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning From Networks: Algorithms, Theory, and Applications.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Sequential Scenario-Specific Meta Learner for Online Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Infer Implicit Contexts in Real-time Online-to-Offline Recommendation.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Knowledge-Based Personalized Product Description Generation in E-commerce.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Representation Learning for Attributed Multiplex Heterogeneous Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Large Scale Evolving Graphs with Burst Detection.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ProNE: Fast and Scalable Network Representation Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Network Embedding under Partial Monitoring for Evolving Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Towards Knowledge-Based Recommender Dialog System.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

A Fast Network Embedding Approach with Preserving Hierarchical Proximities.
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019

Scientometrics for Success and Influence in the Microsoft Academic Graph.
Proceedings of the Complex Networks and Their Applications VIII, 2019

Course Concept Expansion in MOOCs with External Knowledge and Interactive Game.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cognitive Graph for Multi-Hop Reading Comprehension at Scale.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Understanding Dropouts in MOOCs.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Inferring Social Ties.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

SCSMiner: mining social coding sites for software developer recommendation with relevance propagation.
World Wide Web, 2018

Learning to Infer Competitive Relationships in Heterogeneous Networks.
ACM Trans. Knowl. Discov. Data, 2018

Spatio-Temporal Routine Mining on Mobile Phone Data.
ACM Trans. Knowl. Discov. Data, 2018

Will Triadic Closure Strengthen Ties in Social Networks?
ACM Trans. Knowl. Discov. Data, 2018

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

A novel classification method for paper-reviewer recommendation.
Scientometrics, 2018

The impact of conference ranking systems in computer science: a comparative regression analysis.
Scientometrics, 2018

Modeling Personalized Dynamics of Social Network and Opinion at Individual Level.
CoRR, 2018

Collaboration Diversity and Scientific Impact.
CoRR, 2018

Spectral Network Embedding: A Fast and Scalable Method via Sparsity.
CoRR, 2018

Expert Finding in Community Question Answering: A Review.
CoRR, 2018

CareerMap: visualizing career trajectory.
Sci. China Inf. Sci., 2018

BigNet 2018 Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

User Profiling through Deep Multimodal Fusion.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

POLAR: Attention-Based CNN for One-Shot Personalized Article Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Bandit Learning with Implicit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

DeepInf: Social Influence Prediction with Deep Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A comparative analysis of school pupils' daily habits in Germany and China.
Proceedings of the IEEE INFOCOM 2018, 2018

Where Have You Been? Inferring Career Trajectory from Academic Social Network.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Cross-Domain Depression Detection via Harvesting Social Media.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Weakly Learning to Match Experts in Online Community.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Interactive Area Topics Extraction with Policy Gradient.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Fast Top-k Area Topics Extraction with Knowledge Base.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Course Concept Extraction in MOOC via Explicit/Implicit Representation.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

User Tagging in MOOCs Through Network Embedding.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Semi-supervised Learning on Graphs with Generative Adversarial Nets.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Fast Randomized PCA for Sparse Data.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

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

Learning to Align Comments to News Topics.
ACM Trans. Inf. Syst., 2017

User Modeling on Demographic Attributes in Big Mobile Social Networks.
ACM Trans. Inf. Syst., 2017

Inferring Emotional Tags From Social Images With User Demographics.
IEEE Trans. Multim., 2017

Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach.
IEEE Trans. Knowl. Data Eng., 2017

Detecting Stress Based on Social Interactions in Social Networks.
IEEE Trans. Knowl. Data Eng., 2017

Introduction to Special Issue on <i>Social Media Processing</i> (<i>TIST</i>-<i>SMP</i>).
ACM Trans. Intell. Syst. Technol., 2017

Guest Editorial: Big Scholar Data Discovery and Collaboration.
IEEE Trans. Big Data, 2017

Citation regression analysis of computer science publications in different ranking categories and subfields.
Scientometrics, 2017

Standing on the shoulders of giants.
J. Informetrics, 2017

User-level microblogging recommendation incorporating social influence.
J. Assoc. Inf. Sci. Technol., 2017

Online Red Packets: A Large-scale Empirical Study of Gift Giving on WeChat.
CoRR, 2017

A Probabilistic Framework for Location Inference from Social Media.
CoRR, 2017

Special focus on natural language processing and social computing.
Sci. China Inf. Sci., 2017

Smart Jump: Automated Navigation Suggestion for Videos in MOOCs.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Computational Models for Social Network Analysis: A Brief Survey.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

When Will a Repost Cascade Settle Down?
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Guess you like: course recommendation in MOOCs.
Proceedings of the International Conference on Web Intelligence, 2017

LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Who to Invite Next? Predicting Invitees of Social Groups.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

iNEAT: Incomplete Network Alignment.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Can AI help MOOCs?
Proceedings of the 10th International Conference on Educational Data Mining, 2017

BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

Prerequisite Relation Learning for Concepts in MOOCs.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

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

Cross-Domain Ranking via Latent Space Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Word Embedding Based Correlation Model for Question/Answer Matching.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Transfer Learning to Infer Social Ties across Heterogeneous Networks.
ACM Trans. Inf. Syst., 2016

The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory.
IEEE Trans. Knowl. Data Eng., 2016

Guest Editorial: Special Issue on Big Scholar Data Discovery and Collaboration (Continued).
IEEE Trans. Big Data, 2016

A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution.
Knowl. Based Syst., 2016

Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks.
J. Am. Medical Informatics Assoc., 2016

IFOA4WSC: a quick and effective algorithm for QoS-aware servicecomposition.
Int. J. Web Grid Serv., 2016

FriendBurst: Ranking people who get friends fast in a short time.
Neurocomputing, 2016

An Empirical Study on Academic Commentary and Its Implications on Reading and Writing.
CoRR, 2016

Learning for Expertise Matching with Declination Prediction.
CoRR, 2016

AMiner: Mining Deep Knowledge from Big Scholar Data.
Proceedings of the 25th International Conference on World Wide Web, 2016

The Lifecycle and Cascade of WeChat Social Messaging Groups.
Proceedings of the 25th International Conference on World Wide Web, 2016

AMiner: Toward Understanding Big Scholar Data.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Modeling and Predicting Learning Behavior in MOOCs.
Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

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

On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

<i>iPath: </i> Forecasting the Pathway to Impact.
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016

Domain Specific Cross-Lingual Knowledge Linking Based on Similarity Flooding.
Proceedings of the Knowledge Science, Engineering and Management, 2016

QUINT: On Query-Specific Optimal Networks.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

BigNet 2016: First Workshop on Big Network Analytics.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Boosting to Build a Large-Scale Cross-Lingual Ontology.
Proceedings of the Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data, 2016

Interpretable and effective opinion spam detection via temporal patterns mining across websites.
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Learning cascaded influence under partial monitoring.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

Learning triadic influence in large social networks.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

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

Social Role-Aware Emotion Contagion in Image Social Networks.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Semantic Mining of Social Networks
Synthesis Lectures on the Semantic Web: Theory and Technology, Morgan & Claypool Publishers, ISBN: 978-3-031-79462-9, 2015

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

VEGAS: Visual influEnce GrAph Summarization on Citation Networks.
IEEE Trans. Knowl. Data Eng., 2015

Triadic Closure Pattern Analysis and Prediction in Social Networks.
IEEE Trans. Knowl. Data Eng., 2015

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

Modeling Emotion Influence in Image Social Networks.
IEEE Trans. Affect. Comput., 2015

Predicting individual retweet behavior by user similarity: A multi-task learning approach.
Knowl. Based Syst., 2015

Labeling clusters from both linguistic and statistical perspectives: A hybrid approach.
Knowl. Based Syst., 2015

NewsMiner: Multifaceted news analysis for event search.
Knowl. Based Syst., 2015

Preface.
J. Comput. Sci. Technol., 2015

Topic-level opinion influence model (TOIM): An investigation using tencent microblogging.
J. Assoc. Inf. Sci. Technol., 2015

Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications.
Inf. Process. Manag., 2015

Modeling the Interplay Between Individual Behavior and Network Distributions.
CoRR, 2015

Multi-Source Bayesian Embeddings for Learning Social Knowledge Graphs.
CoRR, 2015

The Lifecycle and Cascade of Social Messaging Groups.
CoRR, 2015

Incorporating Social Context and Domain Knowledge for Entity Recognition.
Proceedings of the 24th International Conference on World Wide Web, 2015

Simultaneous Optimization of both Node and Edge Conservation in Network Alignment via WAVE.
Proceedings of the Algorithms in Bioinformatics - 15th International Workshop, 2015

The Evolution of Social Relationships and Strategies Across the Lifespan.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 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

Entity Matching across Heterogeneous Sources.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Probabilistic Community and Role Model for Social 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

Uncovering the Formation of Triadic Closure in Social Networks.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

EgoNetCloud: Event-based egocentric dynamic network visualization.
Proceedings of the 10th IEEE Conference on Visual Analytics Science and Technology, 2015

Understanding the emotions behind social images: Inferring with user demographics.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Beyond Query: Interactive User Intention Understanding.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Name List Only? Target Entity Disambiguation in Short Texts.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Identifying Node Importance by Combining Betweenness Centrality and Katz Centrality.
Proceedings of the International Conference on Cloud Computing and Big Data, 2015

Learning Topic Hierarchies for Wikipedia Categories.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

RAIN: Social Role-Aware Information Diffusion.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Sampling Representative Users from Large Social Networks.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Co-Evolution of Multi-Typed Objects in Dynamic Star Networks.
IEEE Trans. Knowl. Data Eng., 2014

Typicality-Based Collaborative Filtering Recommendation.
IEEE Trans. Knowl. Data Eng., 2014

Introduction to special issue on computational aspects of social and information networks: Theory, methodologies, and applications (TKDD-CASIN).
ACM Trans. Knowl. Discov. Data, 2014

Novel RFID and ontology based home localization system for misplaced objects.
IEEE Trans. Consumer Electron., 2014

Generalized multipath planning model for ride-sharing systems.
Frontiers Comput. Sci., 2014

Modeling Emotion Influence from Images in Social Networks.
CoRR, 2014

Inferring social status and rich club effects in enterprise communication networks.
CoRR, 2014

Computational models for social influence analysis: [extended abstract].
Proceedings of the 23rd International World Wide Web Conference, 2014

Mining triadic closure patterns in social networks.
Proceedings of the 23rd International World Wide Web Conference, 2014

Active learning for networked data based on non-progressive diffusion model.
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

How Do People Communicate through Different Social Connections?
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Addressing cold start in recommender systems: a semi-supervised co-training algorithm.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Learning to Infer Public Emotions from Large-Scale Networked Voice Data.
Proceedings of the MultiMedia Modeling - 20th Anniversary International Conference, 2014

Recommendation in social media: recent advances and new frontiers.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Inferring user demographics and social strategies in mobile social networks.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

On Modelling Non-linear Topical Dependencies.
Proceedings of the 31th International Conference on Machine Learning, 2014

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

Flow-Based Influence Graph Visual Summarization.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Home localization system for misplaced objects.
Proceedings of the IEEE International Conference on Consumer Electronics, 2014

Active Learning for Streaming Networked Data.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

AMiner-mini: A People Search Engine for University.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Modeling Paying Behavior in Game Social Networks.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

Forecasting Potential Diabetes Complications.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

How Do Your Friends on Social Media Disclose Your Emotions?
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

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

2013
Learning to predict reciprocity and triadic closure in social networks.
ACM Trans. Knowl. Discov. Data, 2013

Robust tri-modal automatic speech recognition for consumer applications.
IEEE Trans. Consumer Electron., 2013

A unified approach to matching semantic data on the Web.
Knowl. Based Syst., 2013

Large scale instance matching via multiple indexes and candidate selection.
Knowl. Based Syst., 2013

Query-dependent cross-domain ranking in heterogeneous network.
Knowl. Inf. Syst., 2013

Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective.
J. Informetrics, 2013

Introduction to Special section on Large-scale Data Mining.
Data Knowl. Eng., 2013

Social Network Integration: Towards Constructing the Social Graph.
CoRR, 2013

Evolving Social Networks in Consumer Electronics [Conference Reports].
IEEE Consumer Electron. Mag., 2013

Mining structural hole spanners through information diffusion in social networks.
Proceedings of the 22nd International World Wide Web Conference, 2013

Patent partner recommendation in enterprise social networks.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

Models and algorithms for social influence analysis.
Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, 2013

XLore: A Large-scale English-Chinese Bilingual Knowledge Graph.
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013

How Long Will She Call Me? Distribution, Social Theory and Duration Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

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

Confluence: conformity influence in large social 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

Boosting Cross-Lingual Knowledge Linking via Concept Annotation.
Proceedings of the IJCAI 2013, 2013

What Users Care About: A Framework for Social Content Alignment.
Proceedings of the IJCAI 2013, 2013

Influence Maximization in Dynamic Social Networks.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

Sentiment diffusion in large scale social networks.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

Tri-modal speech recognition for noisy and variable lighting conditions.
Proceedings of the IEEE International Conference on Consumer Electronics, 2013

Mining diabetes complication and treatment patterns for clinical decision support.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Accelerating Topic Model Training on a Single Machine.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

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

Batch Mode Active Learning for Networked Data.
ACM Trans. Intell. Syst. Technol., 2012

Introduction to the Special Section on Computational Models of Collective Intelligence in the Social Web.
ACM Trans. Intell. Syst. Technol., 2012

Quantitative Study of Individual Emotional States in Social Networks.
IEEE Trans. Affect. Comput., 2012

Generation of Personalized Ontology Based on Consumer Emotion and Behavior Analysis.
IEEE Trans. Affect. Comput., 2012

Adding community and dynamic to topic models.
J. Informetrics, 2012

Preface.
J. Comput. Sci. Technol., 2012

The dynamic features of Delicious, Flickr, and YouTube.
J. Assoc. Inf. Sci. Technol., 2012

Modeling Indirect Influence on Twitter.
Int. J. Semantic Web Inf. Syst., 2012

On optimization of expertise matching with various constraints.
Neurocomputing, 2012

Actively learning to infer social ties.
Data Min. Knowl. Discov., 2012

Learning influence from heterogeneous social networks.
Data Min. Knowl. Discov., 2012

What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users
CoRR, 2012

User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm
CoRR, 2012

Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging
CoRR, 2012

Cross-lingual knowledge linking across wiki knowledge bases.
Proceedings of the 21st World Wide Web Conference 2012, 2012

Inferring social ties across heterogenous networks.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Inferring Geographic Coincidence in Ephemeral Social Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Instant Social Graph Search.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Learning to Diversify Expert Finding with Subtopics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2012

Understanding the emotional impact of images.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

Can we understand van gogh's mood?: learning to infer affects from images in social networks.
Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

PatentMiner: topic-driven patent analysis and mining.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Cross-domain collaboration recommendation.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

To better stand on the shoulder of giants.
Proceedings of the 12th ACM/IEEE-CS Joint Conference on Digital Libraries, 2012

Accurate Product Name Recognition from User Generated Content.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

Link Prediction and Recommendation across Heterogeneous Social Networks.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Plink-LDA: Using Link as Prior Information in Topic Modeling.
Proceedings of the Database Systems for Advanced Applications, 2012

Mining competitive relationships by learning across heterogeneous networks.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Mining topic-level opinion influence in microblog.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Ride-Sharing: A Multi Source-Destination Path Planning Approach.
Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011
Introduction to Special Issue on Large-Scale Data Mining.
ACM Trans. Knowl. Discov. Data, 2011

A conversation with Professors Deyi Li and Jie Tang.
SIGKDD Explor., 2011

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

Modeling topic and community structure in social tagging: The TTR-LDA-Community model.
J. Assoc. Inf. Sci. Technol., 2011

Social Community Analysis via a Factor Graph Model.
IEEE Intell. Syst., 2011

Does Quantum Interference exist in Twitter?
CoRR, 2011

OOLAM: an opinion oriented link analysis model for influence persona discovery.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011

Social context summarization.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Learning to Infer Social Ties in Large Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Learning to Advertise: How Many Ads Are Enough?
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Knowledge Transfer across Multilingual Corpora via Latent Topics.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Topic-level social network search.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

User-level sentiment analysis incorporating social networks.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

ADANA: Active Name Disambiguation.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Detecting Community Kernels in Large Social Networks.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Citation count prediction: learning to estimate future citations for literature.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Who will follow you back?: reciprocal relationship prediction.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

Dynamic Social Influence Analysis through Time-Dependent Factor Graphs.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2011

A Survey of Models and Algorithms for Social Influence Analysis.
Proceedings of the Social Network Data Analytics, 2011

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

A constraint-based topic modeling approach for name disambiguation.
Frontiers Comput. Sci. China, 2010

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

MQuery: Fast Graph Query via Semantic Indexing for Mobile Context.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Expertise Matching via Constraint-Based Optimization.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Automatically Grouping Questions in Yahoo! Answers.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

RiMOM results for OAEI 2010.
Proceedings of the 5th International Workshop on Ontology Matching (OM-2010), 2010

Community evolution detection in dynamic heterogeneous information networks.
Proceedings of the Eighth Workshop on Mining and Learning with Graphs, 2010

Mining advisor-advisee relationships from research publication networks.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Social action tracking via noise tolerant time-varying factor graphs.
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

TyCo: Towards Typicality-based Collaborative Filtering Recommendation.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model.
Proceedings of the ICDM 2010, 2010

Term Filtering with Bounded Error.
Proceedings of the ICDM 2010, 2010

Understanding retweeting behaviors in social networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Combining link and content for collective active learning.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Identifying new categories in community question answering archives: a topic modeling approach.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Mining topic-level influence in heterogeneous networks.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Community-based topic modeling for social tagging.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Recommendation based on object typicality.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
RiMOM: A Dynamic Multistrategy Ontology Alignment Framework.
IEEE Trans. Knowl. Data Eng., 2009

Discovering the staring people from social networks.
Proceedings of the 18th International Conference on World Wide Web, 2009

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

Query-Focused Summarization by Combining Topic Model and Affinity Propagation.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

A gauss function based approach for unbalanced ontology matching.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009

RiMOM Results for OAEI 2009.
Proceedings of the 4th International Workshop on Ontology Matching (OM-2009) collocated with the 8th International Semantic Web Conference (ISWC-2009) Chantilly, 2009

Actively Learning Ontology Matching via User Interaction.
Proceedings of the Semantic Web - ISWC 2009, 8th International Semantic Web Conference, 2009

Multi-topic Based Query-Oriented Summarization.
Proceedings of the SIAM International Conference on Data Mining, 2009

A Collaborative Filtering Tag Recommendation System Based on Graph.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

A Tag Recommendation System Based on Contents.
Proceedings of ECML PKDD (The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) Discovery Challenge 2009, 2009

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

Social influence analysis in large-scale networks.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Towards Ontology Learning from Folksonomies.
Proceedings of the IJCAI 2009, 2009

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

A tag recommendation system for folksonomy.
Proceedings of the 2nd ACM Workshop on Social Web Search and Mining, 2009

Heterogeneous cross domain ranking in latent space.
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

Swarms.
Proceedings of the Semantic Web for Knowledge and Data Management, 2009

Automatic Semantic Annotation Using Machine Learning.
Proceedings of the Semantic Web for Knowledge and Data Management, 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

WWW 2008 workshop on social web search and mining: SWSM2008.
Proceedings of the 17th International Conference on World Wide Web, 2008

Path Similarity Based Directory Ontology Matching.
Proceedings of the Ninth International Conference on Web-Age Information Management, 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

Expertise Search in a Time-Varying Social Network.
Proceedings of the Ninth International Conference on Web-Age Information Management, 2008

RiMOM Results for OAEI 2008.
Proceedings of the 3rd International Workshop on Ontology Matching (OM-2008) Collocated with the 7th International Semantic Web Conference (ISWC-2008), 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

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

Academic conference homepage understanding using constrained hierarchical conditional random fields.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

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

A Unified Approach to Researcher Profiling.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 2007

Enhancing Semantic Web by Semantic Annotation: Experiences in Building an Automatic Conference Calendar.
Proceedings of the 2007 IEEE / WIC / ACM International Conference on Web Intelligence, 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

Result of Ontology Alignment with RiMOM at OAEI'07.
Proceedings of the 2nd International Workshop on Ontology Matching (OM-2007) Collocated with the 6th International Semantic Web Conference (ISWC-2007) and the 2nd Asian Semantic Web Conference (ASWC-2007), 2007

Social Network Extraction of Academic Researchers.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

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

Verification of Web Service Conversations Specified in WSCL.
Proceedings of the 31st Annual International Computer Software and Applications Conference, 2007

A constraint-based probabilistic framework for name disambiguation.
Proceedings of the Sixteenth ACM Conference on Information and Knowledge Management, 2007

A Unified Tagging Approach to Text Normalization.
Proceedings of the ACL 2007, 2007

2006
Using Bayesian decision for ontology mapping.
J. Web Semant., 2006

Keyword Extraction Using Support Vector Machine.
Proceedings of the Advances in Web-Age Information Management, 2006

SWARMS: A New Tool for Domain Exploration in Semantic Web.
Proceedings of the 2006 International Conference on Semantics, 2006

Tree-Structured Conditional Random Fields for Semantic Annotation.
Proceedings of the Semantic Web - ISWC 2006, 5th International Semantic Web Conference, 2006

Result of Ontology Alignment with RiMOM at OAEI'06.
Proceedings of the 1st International Workshop on Ontology Matching (OM-2006) Collocated with the 5th International Semantic Web Conference (ISWC-2006), 2006

Semantic Annotation Using Horizontal and Vertical Contexts.
Proceedings of the Semantic Web, 2006

Weighted Ontology-Based Search Exploiting Semantic Similarity.
Proceedings of the Frontiers of WWW Research and Development, 2006

Semantic Similarity Based Ontology Cache.
Proceedings of the Frontiers of WWW Research and Development, 2006

Table Detection from Plain Text Using Machine Learning and Document Structure.
Proceedings of the Frontiers of WWW Research and Development, 2006

2005
iASA: Learning to Annotate the Semantic Web.
J. Data Semant., 2005

Multiple strategies detection in ontology mapping.
Proceedings of the 14th international conference on World Wide Web, 2005

Association search in semantic web: search + inference.
Proceedings of the 14th international conference on World Wide Web, 2005

Email data cleaning.
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005

Feature-Correlation Based Multi-view Detection.
Proceedings of the Computational Science and Its Applications, 2005

2004
Using DAML+OIL to Enhance Search Semantic.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Keyword Extraction Based Peer Clustering.
Proceedings of the Grid and Cooperative Computing, 2004

Semantic Based Web Services Discovery.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004

A Component Retrieval Method Based on Facet-Weight Self-learning.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004

Risk Minimization Based Ontology Mapping.
Proceedings of the Content Computing, Advanced Workshop on Content Computing, 2004

Loss Minimization Based Keyword Distillation.
Proceedings of the Advanced Web Technologies and Applications, 2004

2003
Research of Atomic and Anonymous Electronic Commerce Protocol.
Proceedings of the Rough Sets, 2003

Research of Satisfying Atomic and Anonymous Electronic Commerce Protocol.
Proceedings of the Grid and Cooperative Computing, Second International Workshop, 2003


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