| 2024 | GECCO | Enabling An Informed Contextual Multi-Armed Bandit Framework For Stock Trading With Neuroevolution. | Devroop Kar, Zimeng Lyu, Alexander G. Ororbia II, Travis Desell, Daniel E. Krutz |
| 2023 | AAAI | Backpropagation-Free Deep Learning with Recursive Local Representation Alignment. | Alexander G. Ororbia II, Ankur Mali, Daniel Kifer, C. Lee Giles |
| 2022 | AAAI | Backprop-Free Reinforcement Learning with Active Neural Generative Coding. | Alexander G. Ororbia II, Ankur Mali |
| 2022 | AAAI | Reducing Catastrophic Forgetting in Self Organizing Maps with Internally-Induced Generative Replay (Student Abstract). | Hitesh Vaidya, Travis Desell, Alexander G. Ororbia II |
| 2022 | DCC | Neural JPEG: End-to-End Image Compression Leveraging a Standard JPEG Encoder-Decoder. | Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2021 | AAAI | Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units. | Ankur Mali, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2021 | DCC | An Empirical Analysis of Recurrent Learning Algorithms in Neural Lossy Image Compression Systems. | Ankur Mali, Alexander G. Ororbia II, Dan Kifer, C. Lee Giles |
| 2021 | EMNLP | fBERT: A Neural Transformer for Identifying Offensive Content. | Diptanu Sarkar, Marcos Zampieri, Tharindu Ranasinghe, Alexander G. Ororbia II |
| 2020 | DCC | The Sibling Neural Estimator: Improving Iterative Image Decoding with Gradient Communication. | Ankur Mali, Alexander G. Ororbia II, C. Lee Giles |
| 2019 | AAAI | Biologically Motivated Algorithms for Propagating Local Target Representations. | Alexander G. Ororbia II, Ankur Mali |
| 2019 | CVPR | A Neural Temporal Model for Human Motion Prediction. | Anand Gopalakrishnan, Ankur Mali, Dan Kifer, C. Lee Giles, Alexander G. Ororbia II |
| 2019 | DCC | Learned Neural Iterative Decoding for Lossy Image Compression Systems. | Alexander G. Ororbia II, Ankur Mali, Jian Wu, Scott O'Connell, William Dreese, David J. Miller, C. Lee Giles |
| 2018 | ICDM | Defending Against Adversarial Samples Without Security through Obscurity. | Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing |
| 2017 | CVPR | Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild. | Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbia II, Daniel Kifer, C. Lee Giles |
| 2017 | EMNLP | Piecewise Latent Variables for Neural Variational Text Processing. | Iulian Vlad Serban, Alexander G. Ororbia II, Joelle Pineau, Aaron C. Courville |
| 2017 | IJCNLP | Event Ordering with a Generalized Model for Sieve Prediction Ranking. | Bill McDowell, Nathanael Chambers, Alexander G. Ororbia II, David Reitter |
| 2017 | KDD | Adversary Resistant Deep Neural Networks with an Application to Malware Detection. | Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles |
| 2015 | EMNLP | Learning a Deep Hybrid Model for Semi-Supervised Text Classification. | Alexander G. Ororbia II, C. Lee Giles, David Reitter |
| 2015 | WWW | Big Scholarly Data in CiteSeerX: Information Extraction from the Web. | Alexander G. Ororbia II, Jian Wu, Madian Khabsa, Kyle Williams, Clyde Lee Giles |