Tianlin Li
14 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
🌍 Conference Polyglot (6) 🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🐝
Cross-Pollinator
(13)
🤝
Dynamic Duo
(11)
👑
Triple Crown
🏆
Grand Slam
💎
Century Club
(13)
⚡
Prolific Year
(7)
Conferences
ICLR (4)
AAAI (3)
ICML (3)
ACL (1)
COLING (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(2)
adversarial robustness
(1)
bias mitigation
(1)
domain generalization
(1)
backdoor defense
(1)
prompt engineering
(1)
model aggregation
(1)
out-of-distribution generalization
(1)
distributed training
(1)
machine learning security
(1)
backdoor attack
(1)
adversarial attack
(1)
diffusion model
(1)
data heterogeneity
(1)
few-shot learning
(1)
text-to-image model
(1)
text-to-image diffusion
(1)
jailbreak attack
(1)
adversarial prompt
(1)
shortcut learning
(1)
Papers
OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning
ACL 2026
STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning
ICLR 2025
Defending LVLMs Against Vision Attacks Through Partial-Perception Supervision
ICML 2025
Perception-Guided Jailbreak Against Text-to-Image Models
AAAI 2025
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
NIPS 2024
Improving Neural Logic Machines via Failure Reflection
ICML 2024
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
ICLR 2024
FedMut: Generalized Federated Learning via Stochastic Mutation
AAAI 2024
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models
AAAI 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