Shengjie Wang
21 papers · 2015–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (7) π Cross-Pollinator (12)
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Cross-Pollinator
(12)
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Renaissance Researcher
(6)
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Taxonomy Completionist
(35)
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Topic Evolution
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Dynamic Duo
(10)
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Keyword Collector
(77)
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Century Club
(21)
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Trend Setter
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Unstoppable
(8)
Conferences
ICML (7)
NIPS (6)
CORL (3)
AISTATS (2)
ICLR (1)
NAACL (1)
RSS (1)
Top co-authors
Keywords
deep neural network
(3)
curriculum learning
(3)
submodular optimization
(2)
neural network
(2)
multi-agent reinforcement learning
(1)
contrastive learning
(1)
stochastic optimization
(1)
stochastic gradient descent
(1)
representation learning
(1)
image segmentation
(1)
adversarial learning
(1)
robust optimization
(1)
semi-supervised learning
(1)
neural network training
(1)
imitation learning
(1)
catastrophic forgetting
(1)
network architecture
(1)
policy optimization
(1)
ensemble learning
(1)
offline reinforcement learning
(1)
Papers
ToMA: Token Merge with Attention for Diffusion Models
ICML 2025
SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation
RSS 2025
EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data
ICML 2024
An End-to-End Submodular Framework for Data-Efficient In-Context Learning
NAACL 2024
Reinforcement Learning with Foundation Priors: Let Embodied Agent Efficiently Learn on Its Own
CORL 2024
DexCatch: Learning to Catch Arbitrary Objects with Dexterous Hands
CORL 2024
A Policy Optimization Method Towards Optimal-time Stability
CORL 2023
Machine Learning Force Fields with Data Cost Aware Training
ICML 2023
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
NIPS 2022
Retrospective Adversarial Replay for Continual Learning
NIPS 2022
Curriculum Learning by Optimizing Learning Dynamics
AISTATS 2021
Constrained Robust Submodular Partitioning
NIPS 2021
Robust Curriculum Learning: from clean label detection to noisy label self-correction
ICLR 2021
Time-Consistent Self-Supervision for Semi-Supervised Learning
ICML 2020
Curriculum Learning by Dynamic Instance Hardness
NIPS 2020
Fixing Mini-batch Sequences with Hierarchical Robust Partitioning
AISTATS 2019
Jumpout : Improved Dropout for Deep Neural Networks with ReLUs
ICML 2019
Bias Also Matters: Bias Attribution for Deep Neural Network Explanation
ICML 2019
Diverse Ensemble Evolution: Curriculum Data-Model Marriage
NIPS 2018
Analysis of Deep Neural Networks with Extended Data Jacobian Matrix
ICML 2016
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications
NIPS 2015