Tianlin Li
14 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Dynamic Duo
(12)
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Prolific Year Β· Productive
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Keyword Collector
(69)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(8)
Core AI
(8)
Deep Learning
(7)
Application Areas
(7)
Learning Types Β· Machine Learning
(4)
Learning Types Β· Deep Learning
(4)
Optimization & Theory
(4)
Models
(3)
Computer Vision
(1)
Natural Language Processing
(1)
Architectures
(1)
Generation
(1)
Learning Paradigms
(1)
Resources & Methods
(1)
Keywords
large language model
(4)
diffusion model
(2)
adversarial robustness
(2)
backdoor attack
(2)
adversarial attack
(2)
backdoor defense
(1)
domain generalization
(1)
shortcut learning
(1)
prompt engineering
(1)
knowledge editing
(1)
chain-of-thought reasoning
(1)
model aggregation
(1)
implicit representation
(1)
model editing
(1)
few-shot learning
(1)
machine learning security
(1)
distributed training
(1)
knowledge distillation
(1)
training efficiency
(1)
out-of-distribution generalization
(1)
Papers
OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning
ACL 2026
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
ICML 2025
Perception-Guided Jailbreak Against Text-to-Image Models
AAAI 2025
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
ICLR 2025
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
FedMut: Generalized Federated Learning via Stochastic Mutation
AAAI 2024
Improving Neural Logic Machines via Failure Reflection
ICML 2024
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
AAAI 2024
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
NeurIPS 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
Knowledge Consistency between Neural Networks and Beyond
ICLR 2020