Chang-Tien Lu
28 papers · 2013–2026 · 7 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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🗺️ Taxonomy Completionist (63) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(10)
📈
Trend Setter
🗃️
Keyword Collector
(147)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
❓
The Questioner
⚡
Prolific Year · Productive
💎
Century Club · Bronze
🌈
Renaissance Researcher
(7)
Top co-authors
Research topics
Machine Learning
(22)
Artificial Intelligence
(14)
Core AI
(10)
Core Methods
(10)
Deep Learning
(9)
Natural Language Processing
(9)
Learning Types
(9)
Architectures
(6)
Optimization & Theory
(6)
Application Areas
(5)
Data Science & Analytics
(4)
Learning Paradigms
(4)
Mathematics & Optimization
(3)
Applications
(3)
Generation
(3)
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
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction
NAACL 2024
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
EMNLP 2024
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos
NeurIPS 2024
Don’t Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection
ACL 2024
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States
EMNLP 2024
Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques
ACL 2024
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission
NAACL 2024
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives
AAAI 2023
LANS: Large-scale Arabic News Summarization Corpus
EMNLP 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation
ACL 2023
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract)
AAAI 2022
Blocking Influence at Collective Level with Hard Constraints (Student Abstract)
AAAI 2022
Cross-Domain Few-Shot Semantic Segmentation
ECCV 2022
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (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
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data
AAAI 2020
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network
AAAI 2020
Mitigating Uncertainty in Document Classification
NAACL 2019
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks
IJCAI 2019
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers
IJCAI 2018
Social Media based Simulation Models for Understanding Disease Dynamics
IJCAI 2018
Multimodal Storytelling via Generative Adversarial Imitation Learning
IJCAI 2017
Robust Regression via Heuristic Hard Thresholding
IJCAI 2017
Deep Sparse Coding Based Recursive Disaggregation Model for Water Conservation
IJCAI 2013