Jialu Wang
13 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (6) π§ Keyword Pioneer π Academic Marathon (5) π Renaissance Researcher (5)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(25)
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
π
Grand Slam
β
The Questioner
(2)
π
Conference Pioneer
π
Century Club
(13)
ποΈ
Keyword Collector
(64)
Conferences
ICML (3)
NIPS (3)
ACL (2)
EMNLP (2)
ICLR (2)
AAAI (1)
Top co-authors
Keywords
group fairness
(3)
influence function
(2)
demographic parity
(2)
active learning
(2)
mutual information
(2)
label noise
(2)
multimodal representation
(2)
document understanding
(1)
multimodal learning
(1)
few-shot learning
(1)
feature representation
(1)
distribution shift
(1)
model discrimination
(1)
generative model
(1)
question answering
(1)
parameter efficient fine-tuning
(1)
parameter-efficient fine-tuning
(1)
machine reading comprehension
(1)
vision language model
(1)
generalization bound
(1)
Papers
Procedural Fairness Through Decoupling Objectionable Data Generating Components
ICLR 2024
Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
ICLR 2024
Fairness without Harm: An Influence-Guided Active Sampling Approach
NIPS 2024
T2IAT: Measuring Valence and Stereotypical Biases in Text-to-Image Generation
ACL 2023
A/B Testing in Network Data with Covariate-Adaptive Randomization
ICML 2023
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment
EMNLP 2023
Fairness Transferability Subject to Bounded Distribution Shift
NIPS 2022
Beyond Images: Label Noise Transition Matrix Estimation for Tasks with Lower-Quality Features
ICML 2022
Assessing Multilingual Fairness in Pre-trained Multimodal Representations
ACL 2022
Understanding Instance-Level Impact of Fairness Constraints
ICML 2022
Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search
EMNLP 2021
Can Less be More? When Increasing-to-Balancing Label Noise Rates Considered Beneficial
NIPS 2021
Academic Reader: An Interactive Question Answering System on Academic Literatures
AAAI 2019