Huanhuan Chen
29 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(10)
🏆
Keyword Champion
(2)
🤝
Dynamic Duo
(12)
🗃️
Keyword Collector
(93)
🚀
Conference Pioneer
💎
Century Club
(26)
🔥
Unstoppable
(7)
📈
Trend Setter
⚡
Prolific Year
(10)
Conferences
AAAI (8)
IJCAI (6)
ICML (4)
ACL (2)
COLING (2)
NIPS (2)
ACML (1)
AISTATS (1)
IJCNLP (1)
INTERSPEECH (1)
NAACL (1)
Top co-authors
Keywords
causal inference
(4)
reservoir computing
(4)
model space
(3)
feature selection
(3)
ordinary differential equation
(2)
zero-shot learning
(2)
anomaly detection
(2)
representation learning
(2)
classifier expansion
(2)
reservoir network
(2)
large language model
(2)
fault diagnosis
(2)
ground penetrating radar
(2)
multi-label classification
(1)
document-level extraction
(1)
relation extraction
(1)
data augmentation
(1)
text classification
(1)
knowledge transfer
(1)
prompt learning
(1)
Papers
SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification
AAAI 2026
Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space
AAAI 2026
Counterfactual-Driven Zero-Shot Classifier Expansion
AAAI 2026
Differentiable Structure Learning with Ancestral Constraints
ICML 2025
Efficient Anomaly Detection of Irregular Sequences in Ct-Echo Model Space
AAAI 2025
Continuous Structure Constraint Integration for Robust Causal Discovery
AISTATS 2025
Generation-Augmented and Embedding Fusion in Document-Level Event Argument Extraction
COLING 2025
Spectral-Aware Reservoir Computing for Fast and Accurate Time Series Classification
ICML 2025
Variational Counterfactual Intervention Planning to Achieve Target Outcomes
ICML 2025
Expanding the Category of Classifiers with LLM Supervision
IJCAI 2025
Enhancing Counterfactual Estimation: A Focus on Temporal Treatments
IJCAI 2025
Underground Diagnosis in 3D GPR Data by Learning in CuCoRes Model Space
IJCAI 2025
Fault Diagnosis in REDNet Model Space
IJCAI 2025
Differentiable Structure Learning with Partial Orders
NIPS 2024
Enhancing Speech and Music Discrimination Through the Integration of Static and Dynamic Features
INTERSPEECH 2024
Learning in CubeRes Model Space for Anomaly Detection in 3D GPR Data
IJCAI 2024
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification
AAAI 2024
Constructing a Knowledge-Guided Mental Health Chatbot with LLMs
ACML 2024
Relation Classification via Bidirectional Prompt Learning with Data Augmentation by Large Language Model
COLING 2024
A Dual-module Framework for Counterfactual Estimation over Time
ICML 2024
Practical Markov Boundary Learning without Strong Assumptions
AAAI 2023
Generalization Bounds for Estimating Causal Effects of Continuous Treatments
NIPS 2022
UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues
ACL 2022
Relation Classification with Entity Type Restriction
IJCNLP 2021
Relation Classification with Entity Type Restriction
ACL 2021
Multi-Label Causal Feature Selection
AAAI 2020
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
AAAI 2019
Improve Chinese Word Embeddings by Exploiting Internal Structure
NAACL 2016
Model Metric Co-Learning for Time Series Classification
IJCAI 2015