Xinyi Xu
22 papers · 2018–2026 · 10 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 (49) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Keyword Champion
(5)
π
Grand Slam
π€
Dynamic Duo
(17)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(102)
Venues
Top co-authors
Research topics
Machine Learning
(20)
Artificial Intelligence
(11)
Application Areas
(11)
Optimization & Theory
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(7)
Core Methods
(6)
Deep Learning
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Bayesian & Probabilistic
(2)
Learning Paradigms
(2)
Optimization
(2)
Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
data valuation
(9)
collaborative learning
(5)
shapley value
(5)
large language model
(3)
metric learning
(2)
collaborative machine learning
(2)
federated learning
(2)
in-context learning
(2)
fairness guarantee
(2)
maximum mean discrepancy
(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)
gaussian process
(1)
Papers
JanusMM: A Benchmark for Self-Deprecation Understanding in Real-World Multimodal Conversations
ACL 2026
Efficient Top-m Data Values Identification for Data Selection
ICLR 2025
Uncovering Scaling Laws for Large Language Models via Inverse Problems
EMNLP 2025
Data Distribution Valuation
NeurIPS 2024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
NeurIPS 2024
Distributionally Robust Data Valuation
ICML 2024
I Mean I Am a Mouse: meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models
ACML 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Collaborative Causal Inference with Fair Incentives
ICML 2023
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
AISTATS 2023
Fair yet Asymptotically Equal Collaborative Learning
ICML 2023
Incentives in Private Collaborative Machine Learning
NeurIPS 2023
Model Shapley: Equitable Model Valuation with Black-box Access
NeurIPS 2023
Probably Approximate Shapley Fairness with Applications in Machine Learning
AAAI 2023
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges
IJCAI 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
AAAI 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
ICML 2022
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
NeurIPS 2021
Validation Free and Replication Robust Volume-based Data Valuation
NeurIPS 2021
Deep Asymmetric Metric Learning via Rich Relationship Mining
CVPR 2019
Zero-shot Metric Learning
IJCAI 2019
Deep View-Aware Metric Learning for Person Re-Identification
IJCAI 2018