Hua Xu
45 papers · 2010–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (9)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(15)
🤝
Dynamic Duo
(11)
🔬
Deep Specialist
(11)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(167)
💎
Century Club
(42)
🔥
Unstoppable
(7)
🚀
Conference Pioneer
Conferences
AAAI (19)
ACL (10)
EMNLP (3)
ICML (3)
SEMEVAL (3)
COLING (2)
ICLR (2)
NAACL (2)
IJCNLP (1)
Top co-authors
Keywords
intent discovery
(5)
dialogue system
(5)
multimodal learning
(4)
multimodal sentiment analysis
(4)
adversarial learning
(3)
multi-task learning
(3)
domain adaptation
(3)
graph neural network
(3)
transfer learning
(3)
representation learning
(3)
intent recognition
(2)
contrastive learning
(2)
continual learning
(2)
unsupervised learning
(2)
pairwise constraint
(2)
integer programming
(2)
bidirectional lstm
(2)
feature extraction
(2)
zero-shot learning
(2)
combinatorial optimization
(2)
Papers
Building Interpretable, Trust-worthy Systems for Neural Signal Decoding
AAAI 2026
Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging
AAAI 2026
Ellipsoid-Based Decision Boundaries for Open Intent Classification
AAAI 2026
One-Dimensional Object Detection for Streaming Text Segmentation of Meeting Dialogue
ACL 2025
LLM-Guided Semantic Relational Reasoning for Multimodal Intent Recognition
EMNLP 2025
IMTS is Worth Time $\times$ Channel Patches: Visual Masked Autoencoders for Irregular Multivariate Time Series Prediction
ICML 2025
Large Language Model-driven Large Neighborhood Search for Large-Scale MILP Problems
ICML 2025
MIntRec2.0: A Large-scale Benchmark Dataset for Multimodal Intent Recognition and Out-of-scope Detection in Conversations
ICLR 2024
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances
ACL 2024
OpenVNA: A Framework for Analyzing the Behavior of Multimodal Language Understanding System under Noisy Scenarios
ACL 2024
Geneverse: A Collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
EMNLP 2024
Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition
AAAI 2024
Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset
ICLR 2024
[RETRACTED] Findings of WASSA 2023 Shared Task: Multi-Label and Multi-Class Emotion Classification on Code-Mixed Text Messages
ACL 2023
Adaptive Constraint Partition Based Optimization Framework for Large-Scale Integer Linear Programming (Student Abstract)
AAAI 2023
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis
AAAI 2023
GNN&GBDT-Guided Fast Optimizing Framework for Large-scale Integer Programming
ICML 2023
Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract)
AAAI 2023
Continual Machine Reading Comprehension via Uncertainty-aware Fixed Memory and Adversarial Domain Adaptation
NAACL 2022
An End-to-End Traditional Chinese Medicine Constitution Assessment System Based on Multimodal Clinical Feature Representation and Fusion
AAAI 2022
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
ACL 2022
Consistent Representation Learning for Continual Relation Extraction
ACL 2022
Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues
ACL 2022
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
ACL 2021
Deep Open Intent Classification with Adaptive Decision Boundary
AAAI 2021
Discovering New Intents with Deep Aligned Clustering
AAAI 2021
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
AAAI 2021
TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition
IJCNLP 2021
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality
ACL 2020
Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement
AAAI 2020
SATNet: Symmetric Adversarial Transfer Network Based on Two-Level Alignment Strategy towards Cross-Domain Sentiment Classification (Student Abstract)
AAAI 2020
CORAL-DMOEA: Correlation Alignment-Based Information Transfer for Dynamic Multi-Objective Optimization (Student Abstract)
AAAI 2020
Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract)
AAAI 2020
Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract)
AAAI 2020
A Multi-Task Learning Machine Reading Comprehension Model for Noisy Document (Student Abstract)
AAAI 2020
Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract)
AAAI 2020
The Strength of the Weakest Supervision: Topic Classification Using Class Labels
NAACL 2019
Deep Unknown Intent Detection with Margin Loss
ACL 2019
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM
AAAI 2019
UTHealth at SemEval-2016 Task 12: an End-to-End System for Temporal Information Extraction from Clinical Notes
SEMEVAL 2016
UTH-CCB: The Participation of the SemEval 2015 Challenge – Task 14
SEMEVAL 2015
UTH_CCB: A report for SemEval 2014 – Task 7 Analysis of Clinical Text
SEMEVAL 2014
Implicit Feature Detection via a Constrained Topic Model and SVM
EMNLP 2013
Grouping Product Features Using Semi-Supervised Learning with Soft-Constraints
COLING 2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
COLING 2010