Jie Cheng
15 papers · 2021–2026 · 7 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot (6) π Interdisciplinary Bridge π Renaissance Researcher (5) π§ Keyword Pioneer
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Conference Polyglot
(6)
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Renaissance Researcher
(5)
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Century Club
(14)
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Prolific Year
(6)
π₯
Unstoppable
(5)
ποΈ
Keyword Collector
(54)
Conferences
CVPR (5)
ICCV (3)
ICLR (2)
NIPS (2)
ACL (1)
ICML (1)
WACV (1)
Top co-authors
Keywords
catastrophic forgetting
(3)
class-incremental learning
(3)
multi-label classification
(2)
continual learning
(2)
representation learning
(2)
attention mechanism
(2)
transfer learning
(1)
mathematical reasoning
(1)
action recognition
(1)
temporal sequence
(1)
depth estimation
(1)
event camera
(1)
self-supervised learning
(1)
prototype learning
(1)
knowledge distillation
(1)
cognitive modeling
(1)
weakly supervised learning
(1)
knowledge transfer
(1)
domain adaptation
(1)
few-shot 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
SC-Tune: Unleashing Self-Consistent Referential Comprehension in Large Vision Language Models
CVPR 2024
RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
ICML 2024
Overcoming Catastrophic Forgetting for Multi-Label Class-Incremental Learning
WACV 2024
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
NIPS 2023
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
CVPR 2023
Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation
CVPR 2023
Weakly-Supervised Action Localization by Hierarchically-Structured Latent Attention Modeling
ICCV 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
ICCV 2023
Differentiable hierarchical and surrogate gradient search for spiking neural networks
NIPS 2022
Discrete Time Convolution for Fast Event-Based Stereo
CVPR 2022
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning
CVPR 2021