Tiancheng Jin

According to our database1, Tiancheng Jin authored at least 15 papers between 2018 and 2023.

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Bibliography

2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification.
Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold.
Proceedings of the IEEE International Conference on Quantum Software, 2023

No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Urban Air Quality Assessment by Fusing Spatial and Temporal Data from Multiple Study Sources Using Refined Estimation Methods.
ISPRS Int. J. Geo Inf., 2022

Difficulty-aware Convolutional Knowledge Tracing for Student Performance Prediction.
Proceedings of the IEEE Smartworld, 2022

Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Maximizing the Benefit of RDMA at End Hosts.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition.
CoRR, 2019

FinExpert: domain-specific test generation for FinTech systems.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems.
Proceedings of The 10th Asian Conference on Machine Learning, 2018


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