← Authors

Hua Xu

45 papers · 2010–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (80) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (15) 🀝 Dynamic Duo (11) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (167) πŸ’Ž Century Club (42) πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer

Conferences

AAAI (19) ACL (10) EMNLP (3) ICML (3) SEMEVAL (3) COLING (2) ICLR (2) NAACL (2) IJCNLP (1)

Top co-authors

Kai Gao (11) Hanlei Zhang (11) Ting-En Lin (5) Huigen Ye (4) Ziqi Yuan (4) Jingqi Wang (3) Yaoyun Zhang (3) Chengming Wang (3) Baozheng Zhang (3) Yonghui Wu (3)

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