Chaosheng Dong
12 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (6) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(19)
π£
Hot Topic Early Bird
π
Grand Slam
π
Keyword Champion
(3)
π
Century Club
(12)
π
Trend Setter
π₯
Unstoppable
(6)
Conferences
ICLR (3)
ICML (3)
NAACL (2)
NIPS (2)
AAAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
inverse optimization
(3)
multiobjective optimization
(2)
multi-task learning
(2)
preference learning
(2)
multi-objective optimization
(2)
online learning
(1)
risk management
(1)
continual learning
(1)
parameter estimation
(1)
few-shot learning
(1)
preference alignment
(1)
distributed learning
(1)
distributed optimization
(1)
computational efficiency
(1)
parameter learning
(1)
matrix factorization
(1)
gradient descent
(1)
incentive mechanism
(1)
pareto optimality
(1)
exploration-exploitation tradeoff
(1)
Papers
AutoEval-ToD: Automated Evaluation of Task-oriented Dialog Systems
NAACL 2025
Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization
ICLR 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
NIPS 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
NIPS 2018