Tiancheng Jin
According to our database1,
Tiancheng Jin authored at least 20 papers
between 2018 and 2026.
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Bibliography
2026
Intelligent multi-UAV path planning in complex environments: a hybrid optimization approach with direction-assisted search and adaptive refinement.
J. King Saud Univ. Comput. Inf. Sci., 2026
AdaWaveNet: Adaptive wavelet network for non-stationary time series forecasting via end-to-end learning.
J. King Saud Univ. Comput. Inf. Sci., 2026
2025
NovaQ: Improving Quantum Program Testing through Diversity-Guided Test Case Generation.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025
2024
GMP-TL: Gender-Augmented Multi-Scale Pseudo-Label Enhanced Transfer Learning For Speech Emotion Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
2023
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification.
CoRR, 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
Proceedings of the IEEE International Conference on Quantum Software, 2023
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
Proceedings of the IEEE Smartworld, 2022
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
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
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
Proceedings of The 10th Asian Conference on Machine Learning, 2018