Jie Cheng
15 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Renaissance Researcher
(6)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(75)
Top co-authors
Research topics
Machine Learning
(10)
Learning Types Β· Machine Learning
(10)
Deep Learning
(7)
Artificial Intelligence
(4)
Computer Vision
(4)
Architectures
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Analysis
(3)
Application Areas
(3)
Core AI
(3)
Reinforcement Learning
(2)
Domain-Specific
(2)
Methods
(2)
Interdisciplinary
(1)
Keywords
class-incremental learning
(4)
catastrophic forgetting
(3)
representation learning
(2)
continual learning
(2)
attention mechanism
(2)
multi-label classification
(2)
action recognition
(1)
prototype learning
(1)
few-shot learning
(1)
cognitive modeling
(1)
knowledge distillation
(1)
temporal sequence
(1)
mathematical reasoning
(1)
event camera
(1)
robustness
(1)
weakly supervised learning
(1)
knowledge transfer
(1)
domain adaptation
(1)
self-supervised learning
(1)
transfer learning
(1)
Papers
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning
ACL 2026
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
ICLR 2025
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
ICLR 2025
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
WACV 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
ICML 2024
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
CVPR 2024
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
CVPR 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
ICCV 2023
Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning
ICCV 2023
Learning and processing the ordinal information of temporal sequences in recurrent neural circuits
NeurIPS 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
CVPR 2023
Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling
ICCV 2023
Differentiable hierarchical and surrogate gradient search for spiking neural networks
NeurIPS 2022
Discrete Time Convolution for Fast Event-Based Stereo
CVPR 2022
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
CVPR 2021