Chulin Xie
16 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Topic Evolution
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Mega-Team Β· Squad
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Keyword Champion
π€
Dynamic Duo
(13)
β‘
Prolific Year Β· Productive
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Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(81)
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(10)
Machine Learning
(7)
Application Areas
(6)
Learning Paradigms Β· Artificial Intelligence
(5)
Deep Learning
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Natural Language Processing
(2)
Generation
(2)
Learning Paradigms Β· Machine Learning
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Resources & Methods
(2)
Keywords
large language model
(4)
federated learning
(4)
adversarial robustness
(3)
model poisoning
(2)
backdoor attack
(2)
point cloud generation
(1)
adversarial learning
(1)
differential privacy
(1)
style transfer
(1)
domain adaptation
(1)
logical reasoning
(1)
model robustness
(1)
3d reconstruction
(1)
text-to-image synthesis
(1)
toxicity detection
(1)
risk management
(1)
fairness
(1)
distributed learning
(1)
adversarial training
(1)
knowledge distillation
(1)
Papers
GuardAgent: Safeguard LLM Agents via Knowledge-Enabled Reasoning
ICML 2025
MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models
ICLR 2025
On Memorization of Large Language Models in Logical Reasoning
IJCNLP 2025
Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
ICML 2024
Differentially Private Synthetic Data via Foundation Model APIs 2: Text
ICML 2024
Effective and Efficient Federated Tree Learning on Hybrid Data
ICLR 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
CVPR 2024
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs
ACL 2024
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
CVPR 2024
RedCode: Risky Code Execution and Generation Benchmark for Code Agents
NeurIPS 2024
Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
ICLR 2024
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
NeurIPS 2023
CoPur: Certifiably Robust Collaborative Inference via Feature Purification
NeurIPS 2022
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
ICML 2021
Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion
CVPR 2021
DBA: Distributed Backdoor Attacks against Federated Learning
ICLR 2020