Chaosheng Dong
12 papers · 2018–2025 · 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
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (25) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π
Grand Slam
π§
Keyword Pioneer
π
Keyword Champion
(3)
π
Trend Setter
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(58)
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(8)
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(5)
Learning Types
(5)
Core AI
(3)
Application Areas
(2)
Learning Paradigms
(2)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Keywords
multi-objective optimization
(5)
inverse optimization
(3)
preference learning
(2)
recommender system
(2)
multi-task learning
(2)
federated learning
(2)
multi-armed bandit
(2)
regret bound
(2)
risk management
(1)
parameter estimation
(1)
few-shot learning
(1)
stochastic gradient
(1)
preference alignment
(1)
sample complexity
(1)
matrix factorization
(1)
gradient descent
(1)
manifold learning
(1)
exploration-exploitation tradeoff
(1)
computational efficiency
(1)
non-convex optimization
(1)
Papers
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
ICLR 2025
AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems
NAACL 2025
STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning
UAI 2025
Q-Tuning: Queue-based Prompt Tuning for Lifelong Few-shot Language Learning
NAACL 2024
Scalable and Effective Implicit Graph Neural Networks on Large Graphs
ICLR 2024
Federated Multi-Objective Learning
NeurIPS 2023
A Multi-objective / Multi-task Learning Framework Induced by Pareto Stationarity
ICML 2022
Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences
ICLR 2022
Incentivized Bandit Learning with Self-Reinforcing User Preferences
ICML 2021
Wasserstein Distributionally Robust Inverse Multiobjective Optimization
AAAI 2021
Expert Learning through Generalized Inverse Multiobjective Optimization: Models, Insights, and Algorithms
ICML 2020
Generalized Inverse Optimization through Online Learning
NeurIPS 2018