| Efficient Probabilistic Logic Reasoning with Graph Neural Networks Y Zhang, X Chen, Y Yang, A Ramamurthy, B Li, Y Qi, L Song arXiv preprint arXiv:2001.11850, 2020 | 155 | 2020 |
| Learn to Explain Efficiently via Neural Logic Inductive Learning Y Yang, L Song arXiv preprint arXiv:1910.02481, 2019 | 94 | 2019 |
| One Model For the Learning of Language Y Yang, ST Piantadosi Georgia Institute of Technology, 2022 | 65 | 2022 |
| TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs S Xiong, Y Yang, F Fekri, JC Kerce The Eleventh International Conference on Learning Representations, 2023 | 46 | 2023 |
| Learning a meta-solver for syntax-guided program synthesis X Si, Y Yang, H Dai, M Naik, L Song International Conference on Learning Representations, 2019 | 41 | 2019 |
| Can Graph Neural Networks Help Logic Reasoning? Y Zhang, X Chen, Y Yang, A Ramamurthy, B Li, Y Qi, L Song arXiv preprint arXiv:1906.02111, 2019 | 21 | 2019 |
| Distributing the stochastic gradient sampler for large-scale lda Y Yang, J Chen, J Zhu Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016 | 20 | 2016 |
| Teilp: Time prediction over knowledge graphs via logical reasoning S Xiong, Y Yang, A Payani, JC Kerce, F Fekri Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 16112 …, 2024 | 19 | 2024 |
| Harnessing the Power of Large Language Models for Natural Language to First-Order Logic Translation Y Yang, S Xiong, A Payani, E Shareghi, F Fekri arXiv preprint arXiv:2305.15541, 2023 | 18 | 2023 |
| Predicting Discharge Medications At Admission Time Based On Deep Learning Y Yang, P Xie, X Gao, C Cheng, C Li, H Zhang, E Xing arXiv preprint arXiv:1711.01386, 2017 | 13 | 2017 |
| LOGICDEF: An Interpretable Defense Framework Against Adversarial Examples via Inductive Scene Graph Reasoning Y Yang, JC Kerce, F Fekri Proceedings of the AAAI Conference on Artificial Intelligence 36, 8840-8848, 2022 | 10 | 2022 |
| CMU LiveMedQA at TREC 2017 LiveQA: A Consumer Health Question Answering System Y Yang, J Yu, Y Hu, X Xu, E Nyberg arXiv preprint arXiv:1711.05789, 2017 | 9 | 2017 |
| Temporal Inductive Logic Reasoning Y Yang, S Xiong, JC Kerce, F Fekri arXiv preprint arXiv:2206.05051, 2022 | 6 | 2022 |
| A One-stop Method for EMI Analysis Based on Wavelet Packet and SOM HY Li, Y Yang, D Zhao Applied Mechanics and Materials 530, 341-344, 2014 | 5 | 2014 |
| Can LLMs Reason in the Wild with Programs? Y Yang, S Xiong, A Payani, E Shareghi, F Fekri arXiv preprint arXiv:2406.13764, 2024 | 3 | 2024 |
| Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model S Xiong, A Payani, Y Yang, F Fekri arXiv preprint arXiv:2410.03136, 2024 | 2 | 2024 |
| The Compressor-Retriever Architecture for Language Model OS Y Yang, S Xiong, E Shareghi, F Fekri arXiv preprint arXiv:2409.01495, 2024 | | 2024 |
| Temporal Inductive Logic Reasoning over Hypergraphs Y Yang, S Xiong, A Payani, JC Kerce, F Fekri International Joint Conference on Artificial Intelligence (IJCAI), 2024 | | 2024 |
| LogicDP: Creating Labels for Graph Data via Inductive Logic Programming Y Yang, F Fekri, JC Kerce, A Payani The Eleventh International Conference on Learning Representations, 2023 | | 2023 |
| A-EPSGLD: An Asynchronous Distributed Framework for Efficient Large-scale LDA Inference Y Yang, Y Yang, M Lee | | |
Faramarz FekriGeorgia TechVerified email at ece.gatech.edu
