Tong Wang
16 papers in the PaperMetrix corpus
Papers by this author
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HWDA: A coherence recognition and resolution algorithm for hybrid web data aggregation
2017 · IOP Conference Series Materials Science and Engineering
Aiming at the object confliction recognition and resolution problem for hybrid distributed data stream aggregation, a distributed data stream object coherence solution technology is proposed. Firstly, the framework was defined for the object coherence conflict …
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Exploring and Predicting Transferability across NLP Tasks
2020
Tu Vu, Tong Wang, Tsendsuren Munkhdalai, Alessandro Sordoni, Adam Trischler, Andrew Mattarella-Micke, Subhransu Maji, Mohit Iyyer. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020.
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Backdoor Attack through Frequency Domain
2021 · arXiv (Cornell University)
Backdoor attacks have been shown to be a serious threat against deep learning systems such as biometric authentication and autonomous driving. An effective backdoor attack could enforce the model misbehave under certain predefined conditions, i.e., …
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AdaAX
2022 · Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Recurrent neural networks (RNN) are widely used for handling sequence data. However, their black-box nature makes it difficult for users to interpret the decision-making process. We propose a new method to construct deterministic finite automata …
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DP2Net: Defense Against Adversarial Examples by Detecting Perturbed Pixels
2022 · 2022 7th International Conference on Signal and Image Processing (ICSIP)
Deep neural network technology is becoming more and more powerful, and its technical performance is obvious to all. However, the emergence of adversarial samples has raised concerns about the security of deep neural networks. In …
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Towards exploring the code reuse from stack overflow during software development
2022
As one of the most well-known programmer Q&A websites, Stack Overflow (i.e., SO) is serving tens of thousands of developers every day. Previous work has shown that many developers reuse the code snippets on SO …
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Multi-View Clustering from the Perspective of Mutual Information
2023 · arXiv (Cornell University)
Exploring the complementary information of multi-view data to improve clustering effects is a crucial issue in multi-view clustering. In this paper, we propose a novel model based on information theory termed Informative Multi-View Clustering (IMVC), …
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Learning-based Fuzzy Control for Strict-feedback Nonlinear Systems with Unknown Uncertainties
2024
The fuzzy control problem for a sort of uncertain strict-feedback nonlinear systems is examined in this article. Fuzzy logic systems (FLSs) approximate the unknown uncertainties of considered systems, whose fast convergence is guaranteed by novel …
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Does Bigger Mean Better? Comparitive Analysis of CNNs and Biomedical Vision Language Modles in Medical Diagnosis
2025 · arXiv (Cornell University)
The accurate interpretation of chest radiographs using automated methods is a critical task in medical imaging. This paper presents a comparative analysis between a supervised lightweight Convolutional Neural Network (CNN) and a state-of-the-art, zero-shot medical …
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Will Annotators Disagree? Identifying Subjectivity in Value-Laden Arguments
2025 · arXiv (Cornell University)
Aggregating multiple annotations into a single ground truth label may hide valuable insights into annotator disagreement, particularly in tasks where subjectivity plays a crucial role. In this work, we explore methods for identifying subjectivity in …
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Fast Rashomon Sets of Sparse Rule Sets
2026 · Machine Learning
Abstract A sparse rule set (SRS) is a small predictive model that is a disjunctive normal form – an “OR of ANDs”. SRS models are understandable to human experts and robust to outliers. Constructing an …
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NewsQA: A Machine Comprehension Dataset
2017
We present NewsQA, a challenging machine comprehension dataset of over 100,000 human-generated question-answer pairs. Crowdworkers supply questions and answers based on a set of over 10,000 news articles from CNN, with answers consisting of spans …
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Machine Comprehension by Text-to-Text Neural Question Generation
2017
Xingdi Yuan, Tong Wang, Caglar Gulcehre, Alessandro Sordoni, Philip Bachman, Saizheng Zhang, Sandeep Subramanian, Adam Trischler. Proceedings of the 2nd Workshop on Representation Learning for NLP. 2017.
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A Joint Model for Question Answering and Question Generation
2017 · arXiv (Cornell University)
We propose a generative machine comprehension model that learns jointly to ask and answer questions based on documents. The proposed model uses a sequence-to-sequence framework that encodes the document and generates a question (answer) given …
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NewsQA: A Machine Comprehension Dataset
2016 · arXiv (Cornell University)
We present NewsQA, a challenging machine comprehension dataset of over 100,000 human-generated question-answer pairs. Crowdworkers supply questions and answers based on a set of over 10,000 news articles from CNN, with answers consisting of spans …
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Analysis of Points of Interests Recommended for Leisure Walk Descriptions
2024 · arXiv (Cornell University)
Data for Sub-Task 1 of the Advertisement in Retrieval-Augmented Generation task at Touché 2025. The dataset contains segments retrieved from the segmented version of MS MARCO V2.1. The queries used in retrieval are taken from …