Xinyi Xu
22 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (10)
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Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(45)
π
Interdisciplinary Bridge
π
Grand Slam
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Dynamic Duo
(17)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(83)
π₯
Unstoppable
(5)
π
Century Club
(21)
Conferences
NIPS (6)
ICML (4)
IJCAI (3)
AAAI (2)
EMNLP (2)
ACL (1)
ACML (1)
AISTATS (1)
CVPR (1)
ICLR (1)
Top co-authors
Keywords
data valuation
(7)
collaborative learning
(5)
shapley value
(4)
metric learning
(2)
collaborative machine learning
(2)
in-context learning
(2)
maximum mean discrepancy
(2)
federated learning
(2)
fairness guarantee
(2)
large language model
(2)
zero-shot learning
(2)
knowledge transfer
(1)
benchmark evaluation
(1)
knowledge distillation
(1)
attention mechanism
(1)
embedding learning
(1)
sample efficiency
(1)
causal inference
(1)
image retrieval
(1)
fisher information
(1)
Papers
JanusMM: A Benchmark for Self-Deprecation Understanding in Real-World Multimodal Conversations
ACL 2026
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Efficient Top-m Data Values Identification for Data Selection
ICLR 2025
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Data Distribution Valuation
NIPS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NIPS 2024
I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models
ACML 2024
Distributionally Robust Data Valuation
ICML 2024
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
AISTATS 2023
Model Shapley: Equitable Model Valuation with Black-box Access
NIPS 2023
Incentives in Private Collaborative Machine Learning
NIPS 2023
Fair yet Asymptotically Equal Collaborative Learning
ICML 2023
Collaborative Causal Inference with Fair Incentives
ICML 2023
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
ICML 2022
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges
IJCAI 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
AAAI 2022
Validation Free and Replication Robust Volume-based Data Valuation
NIPS 2021
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
NIPS 2021
Zero-shot Metric Learning
IJCAI 2019
Deep Asymmetric Metric Learning via Rich Relationship Mining
CVPR 2019
Deep View-Aware Metric Learning for Person Re-Identification
IJCAI 2018