Quan Hung Tran
36 papers · 2015–2026 · 13 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (69) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Dynamic Duo
(10)
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Prolific Year Β· Productive
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Unstoppable Β· Silver
β
The Questioner
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Century Club Β· Bronze
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Renaissance Researcher
(7)
ποΈ
Keyword Collector
(169)
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Machine Learning
(20)
Deep Learning
(17)
Natural Language Processing
(15)
Artificial Intelligence
(13)
Core AI
(12)
Architectures
(11)
Learning Types Β· Machine Learning
(10)
Applications
(8)
Core Methods
(8)
Application Areas
(7)
Optimization & Theory
(6)
Learning Types Β· Deep Learning
(5)
Techniques
(4)
Understanding
(4)
Generation
(3)
Keywords
knowledge distillation
(4)
neural network
(4)
recurrent neural network
(3)
sequence labeling
(3)
attention mechanism
(3)
graph convolutional network
(3)
optimal transport
(3)
large language model
(3)
domain adaptation
(3)
pre-trained language model
(2)
memory network
(2)
transfer learning
(2)
label shift
(2)
model alignment
(2)
multi-source domain adaptation
(2)
question answering
(2)
in-context learning
(2)
named entity recognition
(2)
imitation learning
(2)
unsupervised domain adaptation
(2)
Papers
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
CVPR 2026
Dynamic Steering With Episodic Memory For Large Language Models
ACL 2025
Enhancing Retrieval for ESGLLM via ESG-CID: A Disclosure Content Index Finetuning Dataset for Mapping GRI and ESRS
ACL 2025
Multi-Reference Preference Optimization for Large Language Models
AAAI 2025
Sample Efficient Alignment Learning With Episodic Control
EMNLP 2025
Identifying Speakers in Dialogue Transcripts: A Text-based Approach Using Pretrained Language Models
Interspeech 2024
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation
CVPR 2024
An Additive Instance-Wise Approach to Multi-class Model Interpretation
ICLR 2023
Class based Influence Functions for Error Detection
ACL 2023
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing
ACL 2023
A Unified Wasserstein Distributional Robustness Framework for Adversarial Training
ICLR 2022
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation
UAI 2022
DocLayoutTTS: Dataset and Baselines for Layout-informed Document-level Neural Speech Synthesis
Interspeech 2022
Keyphrase Prediction from Video Transcripts: New Dataset and Directions
COLING 2022
A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution
NAACL 2021
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
ICCV 2021
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
EMNLP 2021
Joint Biomedical Entity and Relation Extraction with Knowledge-Enhanced Collective Inference
ACL 2021
Most: multi-source domain adaptation via optimal transport for student-teacher learning
UAI 2021
STEM: An Approach to Multi-Source Domain Adaptation With Guarantees
ICCV 2021
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport
IJCAI 2021
TIMERS: Document-level Temporal Relation Extraction
ACL 2021
A Joint Learning Approach based on Self-Distillation for Keyphrase Extraction from Scientific Documents
COLING 2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering
COLING 2020
Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation
EMNLP 2020
Rethinking Self-Attention: Towards Interpretability in Neural Parsing
EMNLP 2020
Scene Graph Modification Based on Natural Language Commands
EMNLP 2020
What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation
COLING 2020
A Gated Self-attention Memory Network for Answer Selection
EMNLP 2019
The Context-Dependent Additive Recurrent Neural Net
NAACL 2018
A Generative Attentional Neural Network Model for Dialogue Act Classification
ACL 2017
A Hierarchical Neural Model for Learning Sequences of Dialogue Acts
EACL 2017
Preserving Distributional Information in Dialogue Act Classification
EMNLP 2017
Inter-document Contextual Language model
NAACL 2016
JAIST: Combining multiple features for Answer Selection in Community Question Answering
SemEval 2015
TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity
SemEval 2015