An Overview of Multi-Task Learning in Deep Neural Networks

• Multi-fidelity graph neural networks for predicting toluene/water partition coefficients

  2025 Journal of Cheminformatics article Computer Science Computational Drug Discovery Methods Open access

  8

  citations
• Exploring data augmentation: Multi-task methods for molecular property prediction

  2025 Computers & Chemical Engineering article Materials Science Machine Learning in Materials Science Open access

  2

  citations
• Leakage Model-flexible Deep Learning-based Side-channel Analysis

  2024 IACR Communications in Cryptology article Computer Science Cryptographic Implementations and Security Open access

  8

  citations
• Plaintext-based Side-channel Collision Attack

  2024 IACR Communications in Cryptology article Computer Science Cryptographic Implementations and Security Open access

  3

  citations
• Graph neural networks for surfactant multi-property prediction

  2024 Colloids and Surfaces A Physicochemical and Engineering Aspects article Chemistry Surfactants and Colloidal Systems Open access cited by 1 patent

  30

  citations
• TarViS: A Unified Approach for Target-Based Video Segmentation

  2023 IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings conference-paper Computer Science Advanced Neural Network Applications cited by 1 patent

  38

  citations
• What to Fuse and How to Fuse: Exploring Emotion and Personality Fusion Strategies for Explainable Mental Disorder Detection

  2023 conference-paper Psychology Mental Health via Writing Open access

  9

  citations
• Meta Generative Flow Networks with Personalization for Task-Specific Adaptation

  2023 SSRN Electronic Journal preprint Computer Science Reinforcement Learning in Robotics Open access

  0

  citations
• Graph Machine Learning for Design of High-Octane Fuels

  2022 RWTH Publications (RWTH Aachen) preprint Materials Science Machine Learning in Materials Science Open access

  0

  citations
• Multi-Objective Learning to Predict Pareto Fronts Using Hypervolume Maximization

  2021 arXiv (Cornell University) preprint Computer Science Advanced Multi-Objective Optimization Algorithms Open access

  3

  citations
• Graph Neural Networks for Prediction of Fuel Ignition Quality

  2020 Energy & Fuels article Materials Science Machine Learning in Materials Science

  142

  citations
• A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy

  2020 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access

  9

  citations
• Towards a Better Understanding of Label Smoothing in Neural Machine Translation

  2020 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing (AACL-IJCNLP) conference-paper Computer Science Natural Language Processing Techniques Open access

  16

  citations

13 results