Chang-Tien Lu
28 papers · 2013–2026 · 7 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon (11) 🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (5)
🗺️
Taxonomy Completionist
(68)
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(11)
🤝
Dynamic Duo
(10)
🗃️
Keyword Collector
(147)
❓
The Questioner
⚡
Prolific Year
(7)
🚀
Conference Pioneer
💎
Century Club
(26)
🔥
Unstoppable
(8)
📈
Trend Setter
Conferences
AAAI (10)
IJCAI (6)
NAACL (4)
ACL (3)
EMNLP (3)
ECCV (1)
NIPS (1)
Top co-authors
Keywords
uncertainty estimation
(3)
attention mechanism
(3)
large language model
(3)
self-paced learning
(2)
metric learning
(2)
named entity recognition
(2)
citation forecasting
(2)
text summarization
(2)
arabic language
(2)
multimodal learning
(2)
temporal point process
(2)
graph learning
(2)
sequence-to-sequence model
(2)
prototype learning
(1)
uncertainty quantification
(1)
algorithmic fairness
(1)
text classification
(1)
few-shot learning
(1)
sentiment analysis
(1)
natural language generation
(1)
Papers
Collaborative LLM Numerical Reasoning with Local Data Protection
AAAI 2026
Optimizing Product Provenance Verification Using Data Valuation Methods
AAAI 2026
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP 2024
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
ACL 2024
Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques
ACL 2024
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
NIPS 2024
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States
EMNLP 2024
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
NAACL 2024
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
NAACL 2024
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
ACL 2023
LANS: Large-scale Arabic News Summarization Corpus
EMNLP 2023
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
AAAI 2023
Cross-Domain Few-Shot Semantic Segmentation
ECCV 2022
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
AAAI 2022
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract)
AAAI 2022
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
AAAI 2022
From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract)
AAAI 2022
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels
NAACL 2022
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications
AAAI 2021
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
AAAI 2020
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
AAAI 2020
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
IJCAI 2019
Mitigating Uncertainty in Document Classification
NAACL 2019
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
IJCAI 2018
Social Media based Simulation Models for Understanding Disease Dynamics
IJCAI 2018
Robust Regression via Heuristic Hard Thresholding
IJCAI 2017
Multimodal Storytelling via Generative Adversarial Imitation Learning
IJCAI 2017
Deep Sparse Coding Based Recursive Disaggregation Model for Water Conservation
IJCAI 2013