Yin Gu

According to our database, Yin Gu authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An ontology-based multi-hazard coupling accidents simulation and deduction system for underground utility tunnel - A case study of earthquake-induced disaster chain.

Yin Gu, Chenyang Wang, Yi Liu, Rui Zhou

Reliab. Eng. Syst. Saf., 2025

ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.

Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

2024

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.

Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

CoRR, 2024

KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination.

Yin Gu, Qi Liu, Zhi Li, Kai Zhang

CoRR, 2024

Weakly supervised alignment and registration of MR-CT for cervical cancer radiotherapy.

Jiahao Zhang, Yin Gu, Deyu Sun, Yuhua Gao, Ming Gao, Ming Cui, Teng Zhang, He Ma

CoRR, 2024

Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.

Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.

Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.

Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction.

Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023

2021

NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.

Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021