Quan Hung Tran

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 65

Top Topics

Coreference Resolution

Question Answering

Domain Adaptation

Keyphrase Extraction

Top Venues

EMNLP (Findings)

Publications

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation. CoRR (2024)
Hyunjae Kim, Seunghyun Yoon, Trung Bui, Handong Zhao, Quan Hung Tran, Franck Dernoncourt, Jaewoo Kang
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing. EACL (Findings) (2024)
Minh Nguyen, Franck Dernoncourt, Seunghyun Yoon, Hanieh Deilamsalehy, Hao Tan, Ryan A. Rossi, Quan Hung Tran, Trung Bui, Thien Huu Nguyen
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models. CoRR (2024)
Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini
Multi-modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. MMM (3) (2024)
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Q. Phung
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. CoRR (2023)
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Nguyen, Anh T. V. Dau, Nghi Bui
Class based Influence Functions for Error Detection. ACL (2) (2023)
Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. CoRR (2023)
Viet Dac Lai, Abel Salinas, Hao Tan, Trung Bui, Quan Hung Tran, Seunghyun Yoon, Hanieh Deilamsalehy, Franck Dernoncourt, Thien Huu Nguyen
Boosting Punctuation Restoration with Data Generation and Reinforcement Learning. CoRR (2023)
Anh Tuan Bui, Trung Le, He Zhao, Quan Hung Tran, Paul Montague, Dinh Phung
Generating Adversarial Examples with Task Oriented Multi-Objective Optimization. Trans. Mach. Learn. Res. 2023 (2023)
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
LayerDoc: Layer-wise Extraction of Spatial Hierarchical Structure in Visually-Rich Documents. WACV (2023)
Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. ACL (Findings) (2023)
Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. CoRR (2023)
Linzi Xing, Quan Hung Tran, Fabian Caba, Franck Dernoncourt, Seunghyun Yoon, Zhaowen Wang, Trung Bui, Giuseppe Carenini
Multi-Modal Video Topic Segmentation with Dual-Contrastive Domain Adaptation. CoRR (2023)
Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. CoRR (2023)
Thang Nguyen-Duc, Hoang Thanh-Tung, Quan Hung Tran, Dang Huu-Tien, Hieu Ngoc Nguyen, Anh T. V. Dau, Nghi D. Q. Bui
Class based Influence Functions for Error Detection. CoRR (2023)
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Reza Haf, Seyit Camtepe, Dinh Phung
An Additive Instance-Wise Approach to Multi-class Model Interpretation. ICLR (2023)
Zhongfen Deng, Seunghyun Yoon, Trung Bui, Franck Dernoncourt, Quan Hung Tran, Shuaiqi Liu, Wenting Zhao, Tao Zhang, Yibo Wang, Philip S. Yu
Aspect-based Meeting Transcript Summarization: A Two-Stage Approach with Weak Supervision on Sentence Classification. BigData (2023)
Adyasha Maharana, Quan Hung Tran, Franck Dernoncourt, Seunghyun Yoon, Trung Bui, Walter Chang, Mohit Bansal
Multimodal Intent Discovery from Livestream Videos. NAACL-HLT (Findings) (2022)
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. ICSE-Companion (2022)
Amir Pouran Ben Veyseh, Quan Hung Tran, Seunghyun Yoon, Varun Manjunatha, Hanieh Deilamsalehy, Rajiv Jain, Trung Bui, Walter Chang, Franck Dernoncourt, Thien Huu Nguyen
Keyphrase Prediction from Video Transcripts: New Dataset and Directions. COLING (2022)
Vy Vo, Van Nguyen, Trung Le, Quan Hung Tran, Gholamreza Haffari, Seyit Camtepe, Dinh Q. Phung
An Additive Instance-Wise Approach to Multi-class Model Interpretation. CoRR (2022)
Puneet Mathur, Vlad I. Morariu, Verena Kaynig-Fittkau, Jiuxiang Gu, Franck Dernoncourt, Quan Hung Tran, Ani Nenkova, Dinesh Manocha, Rajiv Jain
DocTime: A Document-level Temporal Dependency Graph Parser. NAACL-HLT (2022)
Van-Anh Nguyen, Khanh Pham Dinh, Long Tung Vuong, Thanh-Toan Do, Quan Hung Tran, Dinh Q. Phung, Trung Le
Vision Transformer Visualization: What Neurons Tell and How Neurons Behave? CoRR (2022)
Amir Pouran Ben Veyseh, Ning Xu, Quan Hung Tran, Varun Manjunatha, Franck Dernoncourt, Thien Huu Nguyen
Transfer Learning and Prediction Consistency for Detecting Offensive Spans of Text. ACL (Findings) (2022)
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation. UAI (2022)
Anh Tuan Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. ICLR (2022)
Tuan Anh Bui, Trung Le, Quan Hung Tran, He Zhao, Dinh Q. Phung
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training. CoRR (2022)
Trung Le, Anh Tuan Bui, Le Minh Tri Tue, He Zhao, Paul Montague, Quan Hung Tran, Dinh Q. Phung
On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds. AISTATS (2022)
Puneet Mathur, Franck Dernoncourt, Quan Hung Tran, Jiuxiang Gu, Ani Nenkova, Vlad I. Morariu, Rajiv Jain, Dinesh Manocha
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis. INTERSPEECH (2022)
Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
Most: multi-source domain adaptation via optimal transport for student-teacher learning. UAI (2021)
Puneet Mathur, Rajiv Jain, Franck Dernoncourt, Vlad I. Morariu, Quan Hung Tran, Dinesh Manocha
TIMERS: Document-level Temporal Relation Extraction. ACL/IJCNLP (2) (2021)
Van-Anh Nguyen, Dai Quoc Nguyen, Van Nguyen, Trung Le, Quan Hung Tran, Dinh Q. Phung
ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection. CoRR (2021)
Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport. IJCAI (2021)
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Varun Manjunatha, Lidan Wang, Rajiv Jain, Doo Soon Kim, Walter Chang, Thien Huu Nguyen
Inducing Rich Interaction Structures Between Words for Document-Level Event Argument Extraction. PAKDD (2) (2021)
Tuan Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. ACL/IJCNLP (1) (2021)
Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. NAACL-HLT (2021)
Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. CoRR (2021)
Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
STEM: An approach to Multi-source Domain Adaptation with Guarantees. ICCV (2021)
Tuan Manh Lai, Heng Ji, ChengXiang Zhai, Quan Hung Tran
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference. CoRR (2021)
Tuan Manh Lai, Heng Ji, Trung Bui, Quan Hung Tran, Franck Dernoncourt, Walter Chang
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution. CoRR (2021)
Jianguo Zhang, Trung Bui, Seunghyun Yoon, Xiang Chen, Zhiwei Liu, Congying Xia, Quan Hung Tran, Walter Chang, Philip S. Yu
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning. EMNLP (1) (2021)
Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara
A Simple But Effective Bert Model for Dialog State Tracking on Resource-Limited Systems. ICASSP (2020)
Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Trung Bui, Zhe Lin, Franck Dernoncourt, Nhan Dam
Scene Graph Modification Based on Natural Language Commands. CoRR (2020)
Xuanli He, Quan Hung Tran, Gholamreza Haffari, Walter Chang, Zhe Lin, Trung Bui, Franck Dernoncourt, Nhan Dam
Scene Graph Modification Based on Natural Language Commands. EMNLP (Findings) (2020)
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Thien Huu Nguyen
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation. CoRR (2020)
Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. CoRR (2020)
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. CoRR (2020)
Amir Pouran Ben Veyseh, Franck Dernoncourt, Quan Hung Tran, Thien Huu Nguyen
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation. COLING (2020)
Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents. CoRR (2020)
Tuan Manh Lai, Trung Bui, Doo Soon Kim, Quan Hung Tran
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents. COLING (2020)
Quan Hung Tran, Nhan Dam, Tuan Manh Lai, Franck Dernoncourt, Trung Le, Nham Le, Dinh Phung
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering. COLING (2020)
Khalil Mrini, Franck Dernoncourt, Quan Hung Tran, Trung Bui, Walter Chang, Ndapa Nakashole
Rethinking Self-Attention: Towards Interpretability in Neural Parsing. EMNLP (Findings) (2020)
Amir Pouran Ben Veyseh, Nasim Nouri, Franck Dernoncourt, Quan Hung Tran, Dejing Dou, Thien Huu Nguyen
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation. EMNLP (Findings) (2020)
Xuanli He, Quan Hung Tran, Gholamreza Haffari
A Pointer Network Architecture for Context-Dependent Semantic Parsing. ALTA (2019)
Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara
A Simple but Effective BERT Model for Dialog State Tracking on Resource-Limited Systems. CoRR (2019)
Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara
A Gated Self-attention Memory Network for Answer Selection. EMNLP/IJCNLP (1) (2019)
Tuan Manh Lai, Quan Hung Tran, Trung Bui, Daisuke Kihara
A Gated Self-attention Memory Network for Answer Selection. CoRR (2019)
Quan Hung Tran, Tuan Manh Lai, Gholamreza Haffari, Ingrid Zukerman, Trung Bui, Hung Bui
The Context-Dependent Additive Recurrent Neural Net. NAACL-HLT (2018)
Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation. CoRR (2018)
Xuanli He, Quan Hung Tran, William Havard, Laurent Besacier, Ingrid Zukerman, Gholamreza Haffari
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation. ALTA (2018)
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts. EACL (1) (2017)
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
Preserving Distributional Information in Dialogue Act Classification. EMNLP (2017)
Andisheh Partovi, Ingrid Zukerman, Quan Hung Tran
Towards a Response Selection System for Spoken Requests in a Physical Domain. LaCATODA@IJCAI (2017)
Quan Hung Tran, Gholamreza Haffari, Ingrid Zukerman
A Generative Attentional Neural Network Model for Dialogue Act Classification. ACL (2) (2017)
Quan Hung Tran, Ingrid Zukerman, Gholamreza Haffari
Inter-document Contextual Language model. HLT-NAACL (2016)
Quan Hung Tran, Vu D. Tran, Tu Vu, Minh Nguyen, Son Bao Pham
JAIST: Combining multiple features for Answer Selection in Community Question Answering. SemEval@NAACL-HLT (2015)
Tu Thanh Vu, Quan Hung Tran, Son Bao Pham
TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity. SemEval@NAACL-HLT (2015)
Quan Hung Tran, Minh Le Nguyen, Son Bao Pham
Question Analysis for a Community-Based Vietnamese Question Answering System. KSE (2014)
Quan Hung Tran, Nien Dinh Nguyen, Kien Duc Do, Thinh Khanh Nguyen, Dang Hai Tran, Minh Le Nguyen, Son Bao Pham
A Community-Based Vietnamese Question Answering System. KSE (2014)