Lujia Pan
13 papers · 2021–2026 · 6 venues · across top CS/AI venues
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Machine Learning
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Artificial Intelligence
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Core AI
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Keywords
data augmentation
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class imbalance
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deep neural network
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representation learning
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domain adaptation
(2)
large language model
(2)
transfer learning
(1)
mathematical reasoning
(1)
domain generalization
(1)
time series anomaly detection
(1)
causal discovery
(1)
noisy label learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
self-attention mechanism
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deep clustering
(1)
prompt-based learning
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text classification
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out-of-distribution generalization
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prompt engineering
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Papers
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
AAAI 2026
Air Quality Prediction with Physics-Guided Dual Neural ODEs in Open Systems
ICLR 2025
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
EMNLP 2025
LightGTS: A Lightweight General Time Series Forecasting Model
ICML 2025
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
ICLR 2025
Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer
ICML 2025
Disentangling Domain and General Representations for Time Series Classification
IJCAI 2024
DWLR: Domain Adaptation under Label Shift for Wearable Sensor
IJCAI 2024
Generative Oversampling for Imbalanced Data via Majority-Guided VAE
AISTATS 2023
Inducing Neural Collapse in Deep Long-tailed Learning
AISTATS 2023
SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting
IJCAI 2023
Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering
EMNLP 2022
Learning from Noisy Labels with Complementary Loss Functions
AAAI 2021