Ruocheng Guo
14 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (14)
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Conference Polyglot
(5)
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Academic Marathon
(7)
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Cross-Pollinator
(14)
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Century Club
(12)
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Unstoppable
(6)
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Keyword Collector
(73)
Conferences
IJCAI (6)
NIPS (3)
ACL (2)
AAAI (1)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
causal inference
(4)
large language model
(2)
representation learning
(1)
policy optimization
(1)
transfer learning
(1)
hyperparameter optimization
(1)
model robustness
(1)
covariate shift
(1)
sequential decision making
(1)
noisy label learning
(1)
knowledge distillation
(1)
causal effect estimation
(1)
policy learning
(1)
neural architecture search
(1)
tensor decomposition
(1)
uncertainty quantification
(1)
label noise
(1)
maximum likelihood estimation
(1)
minimum description length
(1)
conformal prediction
(1)
Papers
Renormalization Group Guided Tensor Network Structure Search
AAAI 2026
RIMRULE: Improving Tool-Using Language Agents via MDL-Guided Rule Learning
ACL 2026
Optimal Policy Adaptation Under Covariate Shift
IJCAI 2025
Stepwise Reasoning Disruption Attack of LLMs
ACL 2025
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
IJCAI 2025
Fair Classifiers that Abstain without Harm
ICLR 2024
Learning the Optimal Policy for Balancing Short-Term and Long-Term Rewards
NIPS 2024
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance
EMNLP 2023
Equal Opportunity of Coverage in Fair Regression
NIPS 2023
CLEAR: Generative Counterfactual Explanations on Graphs
NIPS 2022
MLP4Rec: A Pure MLP Architecture for Sequential Recommendations
IJCAI 2022
Multi-Cause Effect Estimation with Disentangled Confounder Representation
IJCAI 2021
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
IJCAI 2020
INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process
IJCAI 2018