Tengfei Ma
Orcid: 0000-0002-1086-529XAffiliations:
- Stony Brook University, NY, USA
- IBM Thomas J. Watson Research Center, Yorktown Heights, NY, USA (former)
According to our database1,
Tengfei Ma
authored at least 90 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification.
CoRR, 2024
Influencer: Empowering Everyday Users in Creating Promotional Posts via AI-infused Exploration and Customization.
CoRR, 2024
CoRR, 2024
Uncovering LLM-Generated Code: A Zero-Shot Synthetic Code Detector via Code Rewriting.
CoRR, 2024
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
FAC²E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
IEEE Trans. Vis. Comput. Graph., June, 2023
IEEE Trans. Neural Networks Learn. Syst., February, 2023
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction.
CoRR, 2023
Federated learning of models pre-trained on different features with consensus graphs.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023
IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Slide4N: Creating Presentation Slides from Computational Notebooks with Human-AI Collaboration.
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 2023
2022
IEEE Trans. Knowl. Data Eng., 2022
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.
ACM Trans. Knowl. Discov. Data, 2022
Improving Long Tailed Document-Level Relation Extraction via Easy Relation Augmentation and Contrastive Learning.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the IEEE INFOCOM 2022, 2022
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description.
Proceedings of the IEEE International Conference on Data Mining, 2022
2021
ACM Trans. Knowl. Discov. Data, 2021
Relation Matters in Sampling: A Scalable Multi-Relational Graph Neural Network for Drug-Drug Interaction Prediction.
CoRR, 2021
Constructing Contrastive samples via Summarization for Text Classification with limited annotations.
CoRR, 2021
Proceedings of the Semantic Web - ISWC 2021 - 20th International Semantic Web Conference, 2021
Proceedings of the 2021 International Conference on Data Mining, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Timeline Summarization based on Event Graph Compression via Time-Aware Optimal Transport.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Constructing contrastive samples via summarization for text classification with limited annotations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Vis. Comput. Graph., 2020
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
CoRR, 2020
Exploiting Heterogeneous Graph Neural Networks with Latent Worker/Task Correlation Information for Label Aggregation in Crowdsourcing.
CoRR, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Supervised Topic Compositional Neural Language Model for Clinical Narrative Understanding.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks.
CoRR, 2019
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019
Proceedings of the 10th ACM International Conference on Bioinformatics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Human-level Multiple Choice Question Guessing Without Domain Knowledge: Machine-Learning of Framing Effects.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Health-ATM: A Deep Architecture for Multifaceted Patient Health Record Representation and Risk Prediction.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 6th International Conference on Learning Representations, 2018
Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018
2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
Wizard's Apprentice: Cognitive Suggestion Support for Wizard-of-Oz Question Answering.
Proceedings of the Artificial Intelligence in Education - 18th International Conference, 2017
2016
CoRR, 2016
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016
2015
The Hybrid Nested/Hierarchical Dirichlet Process and its Application to Topic Modeling with Word Differentiation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2013
Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013
Automatically Determining a Proper Length for Multi-Document Summarization: A Bayesian Nonparametric Approach.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013
2011
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011
2010
Proceedings of the Third Text Analysis Conference, 2010
Proceedings of the 8th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2010
Proceedings of the ICDM 2010, 2010
Proceedings of the COLING 2010, 2010