Zhiming Li
9 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(24)
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Application Areas
(4)
Core AI
(4)
Deep Learning
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Computer Science
(1)
Natural Language Processing
(1)
Keywords
deep reinforcement learning
(2)
program synthesis
(2)
shortcut learning
(1)
few-shot learning
(1)
self-attention mechanism
(1)
domain generalization
(1)
relation extraction
(1)
generalization
(1)
policy learning
(1)
prototype learning
(1)
model aggregation
(1)
out-of-distribution generalization
(1)
statistical machine translation
(1)
training efficiency
(1)
adversarial robustness
(1)
data heterogeneity
(1)
bias mitigation
(1)
global model
(1)
abstract syntax tree
(1)
federated learning
(1)
Papers
Logic-Q: Improving Deep Reinforcement Learning-based Quantitative Trading via Program Sketch-based Tuning
AAAI 2025
FedMut: Generalized Federated Learning via Stochastic Mutation
AAAI 2024
GRADUAL: Granularity-aware Dual Prototype Learning for Better Few-Shot Relation Extraction
ACL 2024
Improving Neural Logic Machines via Failure Reflection
ICML 2024
Unveiling Project-Specific Bias in Neural Code Models
COLING 2024
FAIRER: Fairness as Decision Rationale Alignment
ICML 2023
Fairness via Group Contribution Matching
IJCAI 2023
GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
NeurIPS 2022
Adabot: Fault-Tolerant Java Decompiler (Student Abstract)
AAAI 2020