Tue Le

According to our database, Tue Le authored at least 13 papers between 2016 and 2026.

Collaborative distances:

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

2026

A multi-objective surrogate framework for training neural topic models.

Chi Pham Khanh, Tue Le, Anh-Cuong Le, Linh Ngo Van

Neurocomputing, 2026

MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models.

Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SWE-EVO: Benchmarking Coding Agents in Long-Horizon Software Evolution Scenarios.

Minh V. T. Thai, Tue Le, Dung Nguyen Manh, Huy Phan Nhat, Nghi D. Q. Bui

CoRR, December, 2025

Token-Regulated Group Relative Policy Optimization for Stable Reinforcement Learning in Large Language Models.

Tue Le, Nghi D. Q. Bui, Linh Ngo Van, Trung Le

CoRR, November, 2025

Sharpness-Aware Minimization for Topic Models with High-Quality Document Representations.

Tung Nguyen, Tue Le, Hoang Tran Vuong, Quang Duc Nguyen, Duc Anh Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Multi-Surrogate-Objective Optimization for Neural Topic Models.

Tue Le, Hoang Tran Vuong, Tung Nguyen, Linh Ngo Van, Dinh Viet Sang, Trung Le, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

HiCOT: Improving Neural Topic Models via Optimal Transport and Contrastive Learning.

Hoang Tran Vuong, Tue Le, Tu Vu, Tung Nguyen, Linh Ngo Van, Sang Dinh, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2020

Code Action Network for Binary Function Scope Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Code Pointer Network for Binary Function Scope Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, Dinh Phung

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Deep Domain Adaptation for Vulnerable Code Function Identification.

Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung

Proceedings of the International Joint Conference on Neural Networks, 2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.

Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu

Proceedings of the 7th International Conference on Learning Representations, 2019

2016

Live demonstration: Characterization of 3D printed piezoelectric sensors.

ChaBum Lee, Max B. Kirkpatrick, Joshua A. Tarbutton, Tue Le

Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016

Characterization of 3D printed piezoelectric sensors: Determiniation of d33 piezoelectric coefficient for 3D printed polyvinylidene fluoride sensors.

Max B. Kirkpatrick, Joshua A. Tarbutton, Tue Le, ChaBum Lee

Proceedings of the 2016 IEEE SENSORS, Orlando, FL, USA, October 30 - November 3, 2016, 2016