Trung Le

12 papers A* 4A 1Journal 7
YearRankTypeTitle / Venue / Authors
2025 A conf
BAQET: BRAM-aware Quantization for Efficient Transformer Inference via Stream-based Architecture on an FPGA.
FPGA
LingChi Yang, Chi-Jui Chen, Trung Le, Bo-Cheng Lai, Scott Hauck, Shih-Chieh Hsu
2025 J jnl
Building Machine Learning Challenges for Anomaly Detection in Science.
CoRR
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 M. 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
2025 J jnl
Decoding inner speech with an end-to-end brain-to-text neural interface.
CoRR
Yizi Zhang, Linyang He, Chaofei Fan, Tingkai Liu, Han Yu, Trung Le, Jingyuan Li, Scott W. Linderman, Lea Duncker, Francis R. Willett, Nima Mesgarani, Liam Paninski
2025 A* conf
NetFormer: An interpretable model for recovering dynamical connectivity in neuronal population dynamics.
ICLR
Ziyu Lu, Wuwei Zhang, Trung Le, Hao Wang, Uygar Sümbül, Eric Todd Shea-Brown, Lu Mi
2025 J jnl
SPINT: Spatial Permutation-Invariant Neural Transformer for Consistent Intracortical Motor Decoding.
CoRR
Trung Le, Hao Fang, Jingyuan Li, Tung Nguyen, Lu Mi, Amy L. Orsborn, Uygar Sümbül, Eli Shlizerman
2024 J jnl
AL-SAR: Active Learning for Skeleton-Based Action Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Jingyuan Li, Trung Le, Eli Shlizerman
2024 J jnl
Brain-to-Text Benchmark '24: Lessons Learned.
CoRR
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
2023 A* conf
AMAG: Additive, Multiplicative and Adaptive Graph Neural Network For Forecasting Neuron Activity.
NeurIPS
Jingyuan Li, Leo Scholl, Trung Le, Pavithra Rajeswaran, Amy L. Orsborn, Eli Shlizerman
2023 A* conf
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.
NeurIPS
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2023 J jnl
Learning Time-Invariant Representations for Individual Neurons from Population Dynamics.
CoRR
Lu Mi, Trung Le, Tianxing He, Eli Shlizerman, Uygar Sümbül
2022 A* conf
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers.
NeurIPS
Trung Le, Eli Shlizerman
2022 J jnl
STNDT: Modeling Neural Population Activity with a Spatiotemporal Transformer.
CoRR
Trung Le, Eli Shlizerman