Heng Tao Shen
6 papers in the PaperMetrix corpus
Papers by this author
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Patch-wise Attack for Fooling Deep Neural Network
2020 · arXiv (Cornell University)
By adding human-imperceptible noise to clean images, the resultant adversarial examples can fool other unknown models. Features of a pixel extracted by deep neural networks (DNNs) are influenced by its surrounding regions, and different DNNs …
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Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
2024 · arXiv (Cornell University)
Learning with noisy labels has gained increasing attention because the inevitable imperfect labels in real-world scenarios can substantially hurt the deep model performance. Recent studies tend to regard low-loss samples as clean ones and discard …
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Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric
2024 · arXiv (Cornell University)
Deep metric learning (DML) aims to learn a discriminative high-dimensional embedding space for downstream tasks like classification, clustering, and retrieval. Prior literature predominantly focuses on pair-based and proxy-based methods to maximize inter-class discrepancy and minimize …
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PSCon: Product Search Through Conversations
2025
Conversational Product Search ( CPS ) systems interact with users via natural language to offer personalized and context-aware product lists. However, most existing research on CPS is limited to simulated conversations, due to the lack …
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Distributional Shortest-Path Graph Kernels
2025 · IEEE Transactions on Knowledge and Data Engineering
Traditional shortest-path graph kernels generate for each graph a histogram-like feature map, whose elements represent the number of occurrences of non-isomorphic shortest paths in this graph. The histogram-like feature map does not contain the distributions …
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Template-Based Math Word Problem Solvers with Recursive Neural Networks
2019 · Proceedings of the AAAI Conference on Artificial Intelligence
The design of automatic solvers to arithmetic math word problems has attracted considerable attention in recent years and a large number of datasets and methods have been published. Among them, Math23K is the largest data …