Quan Hung Tran

According to our database, Quan Hung Tran authored at least 54 papers between 2014 and 2024.

Collaborative distances:

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

2024

Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models.

Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen

CoRR, 2024

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung

CoRR, 2024

Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation.

Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

Fine-tuning CLIP Text Encoders with Two-step Paraphrasing.

Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Hung Tran, Franck Dernoncourt, Jaewoo Kang

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.

Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization.

Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung

Trans. Mach. Learn. Res., 2023

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.

Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung

CoRR, 2023

Boosting Punctuation Restoration with Data Generation and Reinforcement Learning.

Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Hung Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen

CoRR, 2023

Class based Influence Functions for Error Detection.

Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Ngoc Nguyen, Anh T. V. Dau, Nghi D. Q. Bui

CoRR, 2023

LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents.

Puneet Mathur, Rajiv Jain, Ashutosh Mehra, Jiuxiang Gu, Franck Dernoncourt, Anandhavelu Natarajan, Quan Hung Tran, Verena Kaynig-Fittkau, Ani Nenkova, Dinesh Manocha, Vlad I. Morariu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

An Additive Instance-Wise Approach to Multi-class Model Interpretation.

Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Phung

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification.

Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Big Data, 2023

Class based Influence Functions for Error Detection.

Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau, Nghi D. Q. Bui

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing.

Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Vision Transformer Visualization: What Neurons Tell and How Neurons Behave?

Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le

CoRR, 2022

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

Tuan-Anh Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung

CoRR, 2022

Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung

Proceedings of the Uncertainty in Artificial Intelligence, 2022

DocTime: A Document-level Temporal Dependency Graph Parser.

Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multimodal Intent Discovery from Livestream Videos.

Adyasha Maharana, Quan Hung Tran, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis.

Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection.

Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

Proceedings of the 44th IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2022

A Unified Wasserstein Distributional Robustness Framework for Adversarial Training.

Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung

Proceedings of the Tenth International Conference on Learning Representations, 2022

Keyphrase Prediction from Video Transcripts: New Dataset and Directions.

Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter Chang, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the 29th International Conference on Computational Linguistics, 2022

On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds.

Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text.

Amir Pouran Ben Veyseh, Ning Xu, Quan Hung Tran, Varun Manjunatha, Franck Dernoncourt, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Most: multi-source domain adaptation via optimal transport for student-teacher learning.

Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction.

Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Varun Manjunatha, Lidan Wang, Rajiv Jain, Doo Soon Kim, Walter Chang, Thien Huu Nguyen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution.

Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport.

Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

STEM: An approach to Multi-source Domain Adaptation with Guarantees.

Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning.

Jian-Guo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TIMERS: Document-level Temporal Relation Extraction.

Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad I. Morariu, Quan Hung Tran, Dinesh Manocha

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference.

Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Sequence Modeling with Recurrent Neural Network.

Quan Hung Tran

PhD thesis, 2020

A Simple But Effective Bert Model for Dialog State Tracking on Resource-Limited Systems.

Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation.

Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Rethinking Self-Attention: Towards Interpretability in Neural Parsing.

Khalil Mrini, Franck Dernoncourt, Quan Hung Tran, Trung Bui, Walter Chang, Ndapa Nakashole

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Scene Graph Modification Based on Natural Language Commands.

Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation.

Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Thien Huu Nguyen

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering.

Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung

Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents.

Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

A Gated Self-attention Memory Network for Answer Selection.

Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Pointer Network Architecture for Context-Dependent Semantic Parsing.

Xuanli He, Quan Hung Tran, Gholamreza Haffari

Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018

The Context-Dependent Additive Recurrent Neural Net.

Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation.

Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari

Proceedings of the Australasian Language Technology Association Workshop 2018, 2018

2017

Towards a Response Selection System for Spoken Requests in a Physical Domain.

Andisheh Partovi, Ingrid Zukerman, Quan Hung Tran

Proceedings of the Linguistic and Cognitive Approaches To Dialog Agents Workshop co-located with the 26th International Joint Conference on Artificial Intelligence, 2017

Preserving Distributional Information in Dialogue Act Classification.

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

A Hierarchical Neural Model for Learning Sequences of Dialogue Acts.

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

A Generative Attentional Neural Network Model for Dialogue Act Classification.

Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Inter-document Contextual Language model.

Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari

Proceedings of the NAACL HLT 2016, 2016

2015

TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity.

Tu Thanh Vu, Quan Hung Tran, Son Bao Pham

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

JAIST: Combining multiple features for Answer Selection in Community Question Answering.

Quan Hung Tran, Vu D. Tran, Tu Vu, Minh Nguyen, Son Bao Pham

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

2014

Question Analysis for a Community-Based Vietnamese Question Answering System.

Quan Hung Tran, Minh Le Nguyen, Son Bao Pham

Proceedings of the Knowledge and Systems Engineering, 2014

A Community-Based Vietnamese Question Answering System.

Quan Hung Tran, Nien Dinh Nguyen, Kien Duc Do, Thinh Khanh Nguyen, Dang Hai Tran, Minh Le Nguyen, Son Bao Pham

Proceedings of the Knowledge and Systems Engineering, 2014