Meng Jiang

Orcid: 0000-0002-3009-519X

Affiliations:

University of Notre Dame, Department of Computer Science and Engineering, IN, USA
University of Illinois at Urbana-Champaign, Department of Computer Science, Urbana, IL, USA (2015 - 2017)
Tsinghua University, Department of Computer Science and Technology, Beijing, China (PhD 2015)
Carnegie Mellon University, Department of Computer Science, Pittsburgh, PA, USA (2012 - 2013)

According to our database¹, Meng Jiang authored at least 191 papers between 2010 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Large Language Models on Graphs: A Comprehensive Survey.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2024

Rationalizing Graph Neural Networks with Data Augmentation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, May, 2024

Transfer Learning across Graph Convolutional Networks: Methods, Theory, and Applications.

[BibT_eX]

[DOI]

Meng Jiang

ACM Trans. Knowl. Discov. Data, January, 2024

Knowledge-augmented Methods for Natural Language Processing

[BibT_eX]

[DOI]

Springer Briefs in Computer Science, Springer, ISBN: 978-981-97-0749-2, 2024

CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP.

[BibT_eX]

[DOI]

CoRR, 2024

Protecting Privacy in Multimodal Large Language Models with MLLMU-Bench.

[BibT_eX]

[DOI]

CoRR, 2024

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks.

[BibT_eX]

[DOI]

Annalisa Szymanski

Noah Ziems

Heather A. Eicher-Miller

Toby Jia-Jun Li

Meng Jiang

Ronald A. Metoyer

CoRR, 2024

MultiChartQA: Benchmarking Vision-Language Models on Multi-Chart Problems.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.

[BibT_eX]

[DOI]

CoRR, 2024

Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks.

[BibT_eX]

[DOI]

CoRR, 2024

CodeTaxo: Enhancing Taxonomy Expansion with Limited Examples via Code Language Prompts.

[BibT_eX]

[DOI]

CoRR, 2024

Machine Unlearning in Generative AI: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Crepe: A Mobile Screen Data Collector Using Graph Query.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Molecular Representation in a Cell.

[BibT_eX]

[DOI]

CoRR, 2024

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, 2024

Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices.

[BibT_eX]

[DOI]

CoRR, 2024

Large Language Models Can Self-Correct with Minimal Effort.

[BibT_eX]

[DOI]

CoRR, 2024

Describe-then-Reason: Improving Multimodal Mathematical Reasoning through Visual Comprehension Training.

[BibT_eX]

[DOI]

CoRR, 2024

OpenFMNav: Towards Open-Set Zero-Shot Object Navigation via Vision-Language Foundation Models.

[BibT_eX]

[DOI]

Yuxuan Kuang

Hai Lin

Meng Jiang

CoRR, 2024

Inverse Molecular Design with Multi-Conditional Diffusion Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Instructing Large Language Models to Identify and Ignore Irrelevant Conditions.

[BibT_eX]

[DOI]

Zhenyu Wu

Chao Shen

Meng Jiang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Position: TrustLLM: Trustworthiness in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TOWER: Tree Organized Weighting for Evaluating Complex Instructions.

[BibT_eX]

[DOI]

Noah Ziems

Zhihan Zhang

Meng Jiang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts.

[BibT_eX]

[DOI]

Zhaoxuan Tan

Zheyuan Liu

Meng Jiang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Reference-based Metrics Disprove Themselves in Question Generation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

RAt: Injecting Implicit Bias for Text-To-Image Prompt Refinement Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Large Language Models Can Self-Correct with Key Condition Verification.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 61st ACM/IEEE Design Automation Conference, 2024

FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

PLUG: Leveraging Pivot Language in Cross-Lingual Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Safer Large Language Models through Machine Unlearning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Get an A in Math: Progressive Rectification Prompting.

[BibT_eX]

[DOI]

Zhenyu Wu

Meng Jiang

Chao Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Deep Multimodal Complementarity Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Modeling Co-Evolution of Attributed and Structural Information in Graph Sequence.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Exploring Contrast Consistency of Open-Domain Question Answering Systems on Minimally Edited Questions.

[BibT_eX]

[DOI]

Trans. Assoc. Comput. Linguistics, 2023

User Modeling in the Era of Large Language Models: Current Research and Future Directions.

[BibT_eX]

[DOI]

Zhaoxuan Tan

Meng Jiang

IEEE Data Eng. Bull., 2023

Graph Data Augmentation for Graph Machine Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Data Eng. Bull., 2023

Explaining Tree Model Decisions in Natural Language for Network Intrusion Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Motif-aware Attribute Masking for Molecular Graph Pre-training.

[BibT_eX]

[DOI]

Eric Inae

Gang Liu

Meng Jiang

CoRR, 2023

Embedding Mental Health Discourse for Community Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

A Quantitative Review on Language Model Efficiency Research.

[BibT_eX]

[DOI]

Meng Jiang

Hy Dang

Lingbo Tong

CoRR, 2023

Improving Language Models via Plug-and-Play Retrieval Feedback.

[BibT_eX]

[DOI]

CoRR, 2023

Knowledge-Augmented Methods for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Data-Centric Learning from Unlabeled Graphs with Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

The Second Workshop on Knowledge-Augmented Methods for Natural Language Processing.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Semi-Supervised Graph Imbalanced Regression.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Creative Research Question Generation for Human-Computer Interaction Research.

[BibT_eX]

[DOI]

Proceedings of the Joint Proceedings of the IUI 2023 Workshops: HAI-GEN, 2023

Explaining AI-Informed Network Intrusion Detection with Counterfactuals.

[BibT_eX]

[DOI]

Gang Liu

Meng Jiang

Proceedings of the IEEE INFOCOM 2023, 2023

Generate rather than Retrieve: Large Language Models are Strong Context Generators.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Pre-training Language Models for Comparative Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

IfQA: A Dataset for Open-domain Question Answering under Counterfactual Presuppositions.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Survey of Multi-task Learning in Natural Language Processing: Regarding Task Relatedness and Training Methods.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Large Language Models are Built-in Autoregressive Search Engines.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Survey of Knowledge-enhanced Text Generation.

[BibT_eX]

[DOI]

ACM Comput. Surv., January, 2022

A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Structural and Textual Information Fusion for Symptom and Disease Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2022

Heterogeneous relational reasoning in knowledge graphs with reinforcement learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2022

Editorial: Computational Behavioral Modeling for Big User Data.

[BibT_eX]

[DOI]

Frontiers Big Data, 2022

A Survey on Data-driven Network Intrusion Detection.

[BibT_eX]

[DOI]

Dylan Chou

Meng Jiang

ACM Comput. Surv., 2022

On the Relationship between Counterfactual Explainer and Recommender: A Framework and Preliminary Observations.

[BibT_eX]

[DOI]

CoRR, 2022

Enhancing Automated Software Traceability by Transfer Learning from Open-World Data.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Data Augmentation for Graph Machine Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

Modeling multi-scale data via a network of networks.

[BibT_eX]

[DOI]

Bioinform., 2022

AutoGDA: Automated Graph Data Augmentation for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Graph Rationalization with Environment-based Augmentations.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact).

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatic Controllable Product Copywriting for E-Commerce.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Hardware/Software Co-Exploration for Graph Neural Architectures on FPGAs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2022

Learning from Counterfactual Links for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

A Unified Encoder-Decoder Framework with Entity Memory.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Retrieval Augmentation for Commonsense Reasoning: A Unified Approach.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Bottom-Up End-User Intelligent Assistant Approach to Empower Gig Workers against AI Inequality.

[BibT_eX]

[DOI]

Proceedings of the CHIWORK 2022: Symposium on Human-Computer Interaction for Work, Durham, NH, USA, June 8, 2022

Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Dict-BERT: Enhancing Language Model Pre-training with Dictionary.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Inductive Contextual Relation Learning for Personalization.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2021

Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2021

Biomedical Knowledge Graphs Construction From Conditional Statements.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Unified Representation of Twitter and Online News Using Graph and Entities.

[BibT_eX]

[DOI]

Frontiers Big Data, 2021

Multi-Round Parsing-based Multiword Rules for Scientific OpenIE.

[BibT_eX]

[DOI]

Joseph Kuebler

Lingbo Tong

Meng Jiang

CoRR, 2021

Counterfactual Graph Learning for Link Prediction.

[BibT_eX]

[DOI]

CoRR, 2021

Validating Label Consistency in NER Data Annotation.

[BibT_eX]

[DOI]

CoRR, 2021

TCN: Table Convolutional Network for Web Table Interpretation.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Few-Shot Graph Learning for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Enhancing Factual Consistency of Abstractive Summarization.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Technical Question Answering across Tasks and Domains.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers, 2021

Data Efficient Learning on Graphs.

[BibT_eX]

[DOI]

Chuxu Zhang

Jundong Li

Meng Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Cross-Network Learning with Partially Aligned Graph Convolutional Networks.

[BibT_eX]

[DOI]

Meng Jiang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

The Second International MIS2 Workshop: Misinformation and Misbehavior Mining on the Web.

[BibT_eX]

[DOI]

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

Dynamic Attributed Graph Prediction with Conditional Normalizing Flows.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Multi-Round Parsing-based Multiword Rules for Scientific Knowledge Extraction.

[BibT_eX]

[DOI]

Joseph Kuebler

Lingbo Tong

Meng Jiang

Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

Validating Label Consistency in NER Data Annotation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Evaluation and Comparison of NLP Systems, 2021

Sentence-Permuted Paragraph Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Injecting Entity Types into Entity-Guided Text Generation.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Action Sequence Augmentation for Early Graph-based Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Data Augmentation for Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Treatment Effect Estimation via Differentiated Confounder Balancing and Regression.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Binarizing Weights Wisely for Edge Intelligence: Guide for Partial Binarization of Deconvolution-Based Generators.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Precise temporal slot filling via truth finding with data-driven commonsense.

[BibT_eX]

[DOI]

Xueying Wang

Meng Jiang

Knowl. Inf. Syst., 2020

Early Anomaly Detection by Learning and Forecasting Behavior.

[BibT_eX]

[DOI]

CoRR, 2020

Federated Dynamic GNN with Secure Aggregation.

[BibT_eX]

[DOI]

CoRR, 2020

Learning Attribute-Structure Co-Evolutions in Dynamic Graphs.

[BibT_eX]

[DOI]

CoRR, 2020

Specification mining and automated task planning for autonomous robots based on a graph-based spatial temporal logic.

[BibT_eX]

[DOI]

Zhiyu Liu

Meng Jiang

Hai Lin

CoRR, 2020

Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network.

[BibT_eX]

[DOI]

CoRR, 2020

A Probabilistic Model with Commonsense Constraints for Pattern-based Temporal Fact Extraction.

[BibT_eX]

[DOI]

Yang Zhou

Tong Zhao

Meng Jiang

CoRR, 2020

Boosting Factual Correctness of Abstractive Summarization with Knowledge Graph.

[BibT_eX]

[DOI]

CoRR, 2020

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Improving Generalizability of Fake News Detection Methods using Propensity Score Matching.

[BibT_eX]

[DOI]

CoRR, 2020

A graph-based spatial temporal logic for knowledge representation and automated reasoning in cognitive robots.

[BibT_eX]

[DOI]

Zhiyu Liu

Meng Jiang

Hai Lin

CoRR, 2020

Identifying Referential Intention with Heterogeneous Contexts.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Experimental Evidence Extraction System in Data Science with Hybrid Table Features and Ensemble Learning.

[BibT_eX]

[DOI]

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Towards Semantically Guided Traceability.

[BibT_eX]

[DOI]

Proceedings of the 28th IEEE International Requirements Engineering Conference, 2020

Multi-modal Network Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Calendar Graph Neural Networks for Modeling Time Structures in Spatiotemporal User Behaviors.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Scientific Text Mining and Knowledge Graphs.

[BibT_eX]

[DOI]

Meng Jiang

Jingbo Shang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Tri-Train: Automatic Pre-Fine Tuning between Pre-Training and Fine-Tuning for SciNER.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

A Technical Question Answering System with Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Error-Bounded Graph Anomaly Loss for GNNs.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

SmartFund: Predicting Research Outcomes with Machine Learning and Natural Language Processing.

[BibT_eX]

[DOI]

Alvin Alaphat

Meng Jiang

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Imputing Growth Snapshot Similarity in Early Childhood Development: A Tensor Decomposition Approach.

[BibT_eX]

[DOI]

Jennifer J. Schnur

Ryan Karl

Angélica García-Martínez

Meng Jiang

Nitesh V. Chawla

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Use of "Internal Knowledge": Biomedical Literature Search Liberated From External Resources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Overcoming Data Sparsity in Predicting User Characteristics from Behavior through Graph Embeddings.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

Crossing Variational Autoencoders for Answer Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Few-Shot Knowledge Graph Completion.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Graph Few-Shot Learning via Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Multi-Label Patent Categorization with Non-Local Attention-Based Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements.

[BibT_eX]

[DOI]

CoRR, 2019

Tablepedia: Automating PDF Table Reading in an Experimental Evidence Exploration and Analytic System.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

A Novel Unsupervised Approach for Precise Temporal Slot Filling from Incomplete and Noisy Temporal Contexts.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

Faceted Hierarchy: A New Graph Type to Organize Scientific Concepts and a Construction Method.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019

MSU-Net: Multiscale Statistical U-Net for Real-Time 3D Cardiac MRI Video Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

TUBE: Embedding Behavior Outcomes for Predicting Success.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

The Role of: A Novel Scientific Knowledge Graph Representation and Construction Model.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

A Study of Person Entity Extraction and Profiling from Classical Chinese Historiography.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Workshop on EntitY REtrieval co-located with 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), 2019

Multi-Input Multi-Output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Preserving Composition and Crystal Structures of Chemical Compounds in Atomic Embedding.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

CTGA: Graph-based Biomedical Literature Search.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Behavior Modeling in Social Networks.

[BibT_eX]

[DOI]

Meng Jiang

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

Automated Phrase Mining from Massive Text Corpora.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

DPPred: An Effective Prediction Framework with Concise Discriminative Patterns.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2018

Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2018

PBGAN: Partial Binarization of Deconvolution Based Generators.

[BibT_eX]

[DOI]

CoRR, 2018

Contrast Subgraph Mining from Coherent Cores.

[BibT_eX]

[DOI]

CoRR, 2018

MIS2: Misinformation and Misbehavior Mining on the Web.

[BibT_eX]

[DOI]

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

TaxoGen: Unsupervised Topic Taxonomy Construction by Adaptive Term Embedding and Clustering.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multi-Type Itemset Embedding for Learning Behavior Success.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Doc2Cube: Allocating Documents to Text Cube Without Labeled Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2018

Optimizing Boiler Control in Real-Time with Machine Learning for Sustainability.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Actionable Objective Optimization for Suspicious Behavior Detection on Large Bipartite Graphs.

[BibT_eX]

[DOI]

Tong Zhao

Matthew Malir

Meng Jiang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

CausalTriad: Toward Pseudo Causal Relation Discovery and Hypotheses Generation from Medical Text Data.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Embedding Learning with Events in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2017

Integrating Knowledge from Latent and Explicit Features for Triple Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017.

[BibT_eX]

[DOI]

Liang-Wei Chen

Bhargav Mangipudi

Jayachandu Bandlamudi

CoRR, 2017

Constructing Structured Information Networks from Massive Text Corpora.

[BibT_eX]

[DOI]

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Building Structured Databases of Factual Knowledge from Massive Text Corpora.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM International Conference on Management of Data, 2017

Estimating Treatment Effect in the Wild via Differentiated Confounder Balancing.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

MetaPAD: Meta Pattern Discovery from Massive Text Corpora.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

ContextCare: Incorporating Contextual Information Networks to Representation Learning on Medical Forum Data.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences.

[BibT_eX]

[DOI]

Richard M. Weinshilboum

Jiawei Han

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Treatment Effect Estimation with Data-Driven Variable Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Spotting Suspicious Behaviors in Multimodal Data: A General Metric and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2016

Catching Synchronized Behaviors in Large Networks: A Graph Mining Approach.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2016

Inferring lockstep behavior from connectivity pattern in large graphs.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2016

Suspicious Behavior Detection: Current Trends and Future Directions.

[BibT_eX]

[DOI]

Meng Jiang

Peng Cui

Christos Faloutsos

IEEE Intell. Syst., 2016

CatchTartan: Representing and Summarizing Dynamic Multicontextual Behaviors.

[BibT_eX]

[DOI]

Meng Jiang

Christos Faloutsos

Jiawei Han

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Steering Social Media Promotions with Effective Strategies.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Large-Scale Embedding Learning in Heterogeneous Event Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Catching Social Media Advertisers with Strategy Analysis.

[BibT_eX]

[DOI]

Meng Jiang

Proceedings of the First International Workshop on Computational Methods for CyberSafety, 2016

Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Social Recommendation with Cross-Domain Transferable Knowledge.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2015

A General Suspiciousness Metric for Dense Blocks in Multimodal Data.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Scalable Recommendation with Social Contextual Information.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Detecting suspicious following behavior in multimillion-node social networks.

[BibT_eX]

[DOI]

Proceedings of the 23rd International World Wide Web Conference, 2014

Inferring Strange Behavior from Connectivity Pattern in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

FEMA: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

CatchSync: catching synchronized behavior in large directed graphs.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2012

Mining diversity on social media networks.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2012

Social recommendation across multiple relational domains.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Social contextual recommendation.

[BibT_eX]

[DOI]

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

Mining topic-level influence in heterogeneous networks.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Meng Jiang

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