Implicit interest indicators. - Mark Claypool; Phong Le; Makoto Waseda; David Brown (IUI, 2001)

Inferring User Interest. - Mark Claypool; David Brown; Phong Le; Makoto Waseda (IEEE Internet Comput., 2001)

Adaptive Hybrid Mean Shift and Particle Filter. - Phong Le; Anh Duc Duong; Hai Quan Vu; Nam Trung Pham (RIVF, 2009)

Learning Compositional Semantics for Open Domain Semantic Parsing. - Phong Le; Willem H. Zuidema (COLING, 2012)

Learning from errors: Using vector-based compositional semantics for parse reranking. - Phong Le; Willem H. Zuidema; Remko Scha (CVSM@ACL, 2013)

The Inside-Outside Recursive Neural Network model for Dependency Parsing. - Phong Le; Willem H. Zuidema (EMNLP, 2014)

The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization. - Phong Le; Willem H. Zuidema (EMNLP, 2015)

Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing. - Phong Le (IWPT, 2015)

Unsupervised Dependency Parsing: Let's Use Supervised Parsers. - Phong Le; Willem H. Zuidema (HLT-NAACL, 2015)

Compositional Distributional Semantics with Long Short Term Memory. - Phong Le; Willem H. Zuidema (*SEM@NAACL-HLT, 2015)

LSTM-Based Mixture-of-Experts for Knowledge-Aware Dialogues. - Phong Le; Marc Dymetman; Jean-Michel Renders (Rep4NLP@ACL, 2016)

Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs. - Phong Le; Willem H. Zuidema (Rep4NLP@ACL, 2016)

Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. - Phong Le; Ivan Titov 001 (CoNLL, 2017)

Improving Entity Linking by Modeling Latent Relations between Mentions. - Phong Le; Ivan Titov 001 (ACL (1), 2018)

Boosting Entity Linking Performance by Leveraging Unlabeled Documents. - Phong Le; Ivan Titov 001 (ACL (1), 2019)

Distant Learning for Entity Linking with Automatic Noise Detection. - Phong Le; Ivan Titov 001 (ACL (1), 2019)

Revisiting Unsupervised Relation Extraction. - Thy Thy Tran; Phong Le; Sophia Ananiadou (ACL, 2020)

DoLFIn: Distributions over Latent Features for Interpretability. - Phong Le; Willem H. Zuidema (COLING, 2020)

One-shot to Weakly-Supervised Relation Classification using Language Models. - Thy Thy Tran; Phong Le; Sophia Ananiadou (AKBC, 2021)

The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations. - Daniel Akkerman; Phong Le; Raquel G. Alhama (EMNLP, 2024)

On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GA. - Tai Nguyen 008; Phong Le; André Biedenkapp; Carola Doerr; Nguyen Dang 001 (GECCO, 2025)

Multi-parameter Control for the (1+(λ,λ))-GA on OneMax via Deep Reinforcement Learning. - Tai Nguyen 008; Phong Le; Carola Doerr; Nguyen Dang 001 (CoRR, 2025)