Jiachen T. Wang
14 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🌈 Renaissance Researcher (7)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
👑
Triple Crown
👥
Mega-Team
(22)
⚡
Prolific Year
(8)
💎
Century Club
(14)
Conferences
ICLR (5)
ICML (3)
NIPS (3)
AISTATS (2)
ACL (1)
Top co-authors
Research topics
Keywords
shapley value
(2)
data valuation
(2)
stochastic gradient descent
(2)
domain adaptation
(1)
in-context learning
(1)
robust statistics
(1)
test-time adaptation
(1)
text-to-image generation
(1)
machine unlearning
(1)
model alignment
(1)
machine learning
(1)
distribution shift
(1)
batch selection
(1)
adversarial attack
(1)
generative model
(1)
diffusion model
(1)
approximation algorithm
(1)
byzantine robustness
(1)
data selection
(1)
data attribution
(1)
Papers
TokenShapley: Token Level Context Attribution with Shapley Value
ACL 2025
Data Shapley in One Training Run
ICLR 2025
Capturing the Temporal Dependence of Training Data Influence
ICLR 2025
Efficient Data Shapley for Weighted Nearest Neighbor Algorithms
AISTATS 2024
Privacy-Preserving In-Context Learning for Large Language Models
ICLR 2024
BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
ICLR 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
ICLR 2024
Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits
ICML 2024
Boosting Alignment for Post-Unlearning Text-to-Image Generative Models
NIPS 2024
GREATS: Online Selection of High-Quality Data for LLM Training in Every Iteration
NIPS 2024
Language Models as Science Tutors
ICML 2024
Uncovering Adversarial Risks of Test-Time Adaptation
ICML 2023
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning
AISTATS 2023
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning
NIPS 2022