Han Shen
9 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (21) π Interdisciplinary Bridge π Conference Polyglot (6)
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Academic Marathon
(5)
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Cross-Pollinator
(13)
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Renaissance Researcher
(6)
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Grand Slam
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Keyword Champion
(2)
Conferences
AISTATS (2)
ICLR (2)
ICML (2)
AAAI (1)
JMLR (1)
NIPS (1)
Top co-authors
Research topics
Keywords
bilevel optimization
(4)
convergence guarantee
(2)
finite-time convergence
(2)
federated learning
(2)
non-convex optimization
(1)
policy optimization
(1)
policy gradient
(1)
hyperparameter optimization
(1)
feature quantization
(1)
sequential decision making
(1)
entropy coding
(1)
inverse reinforcement learning
(1)
reinforcement learning from human feedback
(1)
gradient descent
(1)
alternating optimization
(1)
stochastic approximation
(1)
optical flow
(1)
hyper-parameter optimization
(1)
autoregressive model
(1)
iteration complexity
(1)
Papers
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection
ICLR 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
JMLR 2025
Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF
ICML 2024
On Penalty-based Bilevel Gradient Descent Method
ICML 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
ICLR 2023
Alternating Projected SGD for Equality-constrained Bilevel Optimization
AISTATS 2023
Distributed Offline Policy Optimization Over Batch Data
AISTATS 2023
A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences
NIPS 2022
Learned Video Compression via Joint Spatial-Temporal Correlation Exploration
AAAI 2020