Trung Le

According to our database, Trung Le authored at least 11 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding.

Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L. Orsborn, Uygar Sümbül, Eli Shlizerman

CoRR, July, 2025

Building Machine Learning Challenges for Anomaly Detection in Science.

Elizabeth G. Campolongo, Yuan-Tang Chou, Ekaterina Govorkova, Wahid Bhimji, Wei-Lun Chao, Chris Harris, Shih-Chieh Hsu, Hilmar Lapp, Mark S. Neubauer, Josephine M. Namayanja, Aneesh Subramanian, Philip C. Harris, Advaith Anand, David Edward Carlyn, Subhankar Ghosh, Christopher G. Lawrence, Eric A. Moreno, Ryan Raikman, Jiaman Wu, Ziheng Zhang, Bayu Adhi, Mohammad Ahmadi Gharehtoragh, Saúl Alonso-Monsalve, Marta Babicz, Furqan Baig, Namrata Banerji, William Bardon, Tyler Barna, Tanya Y. Berger-Wolf, Adji Bousso Dieng, Micah Brachman, Quentin Buat, David C. Y. Hui, Phuong Cao, Franco Cerino, Yi-Chun Chang, Shivaji Chaulagain, An-Kai Chen, Deming Chen, Eric Chen, Chia-Jui Chou, Zih-Chen Ciou, Miles Cochran-Branson, Artur Cordeiro Oudot Choi, Michael Coughlin, Matteo Cremonesi, Maria Dadarlat, Peter Darch, Malina Desai, Daniel Diaz, Steven Dillmann, Javier Duarte, Isla Duporge, Urbas Ekka, Saba Entezari Heravi, Hao Fang, Rian Flynn, Geoffrey Fox, Emily Freed, Hang Gao, Jing Gao, Julia Gonski, Matthew J. Graham, Abolfazl Hashemi, Scott Hauck, James Hazelden, Joshua Henry Peterson, Duc Hoang, Wei Hu, Mirco Hünnefeld, David Hyde, Vandana P. Janeja, Nattapon Jaroenchai, Haoyi Jia, Yunfan Kang, Maksim Kholiavchenko, Elham E Khoda, Sangin Kim, Aditya Kumar, Bo-Cheng Lai, Trung Le, Chi-Wei Lee, JangHyeon Lee, Shaocheng Lee, Suzan van der Lee, Charles Lewis, Haitong Li, Haoyang Li, Henry Liao, Mia Liu, Xiaolin Liu, Xiulong Liu, Vladimir Loncar, Fangzheng Lyu, Ilya Makarov, Abhishikth Mallampalli Chen-Yu Mao, Alexander Michels, Alexander Migala, Farouk Mokhtar, Mathieu Morlighem

CoRR, March, 2025

NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics.

Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd Shea-Brown, Lu Mi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

BAQET: BRAM-aware Quantization for Efficient Transformer Inference via Stream-based Architecture on an FPGA.

LingChi Yang, Chi-Jui Chen, Trung Le, Bo-Cheng Lai, Scott Hauck, Shih-Chieh Hsu

Proceedings of the 2025 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2025

2024

AL-SAR: Active Learning for Skeleton-Based Action Recognition.

Jingyuan Li, Trung Le, Eli Shlizerman

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Brain-to-Text Benchmark '24: Lessons Learned.

Francis R. Willett, Jingyuan Li, Trung Le, Chaofei Fan, Mingfei Chen, Eli Shlizerman, Yue Chen, Xin Zheng, Tatsuo S. Okubo, Tyler Benster, Hyun Dong Lee, Maxwell Kounga, Estefany Kelly Buchanan, David M. Zoltowski, Scott W. Linderman, Jaimie M. Henderson

CoRR, 2024

2023

Dataset for monkeys A and B from AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity.

Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy L. Orsborn, Eli Shlizerman

Dataset, November, 2023

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.

Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity.

Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy L. Orsborn, Eli Shlizerman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer.

Trung Le, Eli Shlizerman

CoRR, 2022

STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers.

Trung Le, Eli Shlizerman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022