Junhao Zheng
15 papers · 2022–2026 · 10 venues · across top CS/AI venues
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Machine Learning
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(5)
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catastrophic forgetting
(4)
named entity recognition
(4)
continual learning
(3)
data augmentation
(2)
causal inference
(2)
representation learning
(2)
pre-trained language model
(2)
time series classification
(2)
temporal dependencies
(2)
temporal modeling
(1)
knowledge transfer
(1)
knowledge extraction
(1)
knowledge distillation
(1)
multi-task learning
(1)
object detection
(1)
cross-domain learning
(1)
curriculum learning
(1)
knowledge representation
(1)
question answering
(1)
relation extraction
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Papers
A Unified Shape-Aware Foundation Model for Time Series Classification
AAAI 2026
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting
ICML 2025
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights
ICCV 2025
Spurious Forgetting in Continual Learning of Language Models
ICLR 2025
Training Large Language Models for Retrieval-Augmented Question Answering through Backtracking Correction
ICLR 2025
Incremental Sequence Labeling: A Tale of Two Shifts
ACL 2024
Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series
NeurIPS 2024
Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models
ACL 2024
Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
CVPR 2024
Well Begun Is Half Done: An Implicitly Augmented Generative Framework with Distribution Modification for Hierarchical Text Classification
COLING 2024
CTW: Confident Time-Warping for Time-Series Label-Noise Learning
IJCAI 2023
Joint Constrained Learning with Boundary-adjusting for Emotion-Cause Pair Extraction
ACL 2023
Preserving Commonsense Knowledge from Pre-trained Language Models via Causal Inference
ACL 2023
Cross-domain Named Entity Recognition via Graph Matching
ACL 2022
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition
EMNLP 2022