Tiancheng Jin

27 papers A* 9C 2Journal 12Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
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.
Tiancheng Jin, Yujie Zhu
2025 A* conf
NovaQ: Improving Quantum Program Testing through Diversity-Guided Test Case Generation.
ASE
Tiancheng Jin, Shangzhou Xia, Jianjun Zhao
2025 J jnl
NovaQ: Improving Quantum Program Testing through Diversity-Guided Test Case Generation.
CoRR
Tiancheng Jin, Shangzhou Xia, Jianjun Zhao
2024 — conf
GMP-TL: Gender-Augmented Multi-Scale Pseudo-Label Enhanced Transfer Learning For Speech Emotion Recognition.
SLT
Yu Pan, Yuguang Yang, Yuheng Huang, Tiancheng Jin, Jingjing Yin, Yanni Hu, Heng Lu, Lei Ma, Jianjun Zhao
2023 C conf
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification.
SEKE
Guang Yang, Tiancheng Jin, Liang Dou
2023 J jnl
Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification.
CoRR
Guang Yang, Tiancheng Jin, Liang Dou
2023 A* conf
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms.
NeurIPS
Tiancheng Jin, Junyan Liu, Haipeng Luo
2023 J jnl
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms.
CoRR
Tiancheng Jin, Junyan Liu, Haipeng Luo
2023 A* conf
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions.
NeurIPS
Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
2023 J jnl
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions.
CoRR
Tiancheng Jin, Junyan Liu, Chloé Rouyer, William Chang, Chen-Yu Wei, Haipeng Luo
2023 — conf
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold.
QSW
Tiancheng Jin, Jianjun Zhao
2023 J jnl
ScaffML: A Quantum Behavioral Interface Specification Language for Scaffold.
CoRR
Tiancheng Jin, Jianjun Zhao
2022 — conf
Difficulty-aware Convolutional Knowledge Tracing for Student Performance Prediction.
SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta
Yuan Zeng, Tiancheng Jin, Liang Dou
2022 A* conf
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback.
NeurIPS
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022 J jnl
Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback.
CoRR
Tiancheng Jin, Tal Lancewicki, Haipeng Luo, Yishay Mansour, Aviv Rosenberg
2022 J jnl
Urban Air Quality Assessment by Fusing Spatial and Temporal Data from Multiple Study Sources Using Refined Estimation Methods.
ISPRS Int. J. Geo Inf.
Lirong Chen, Junyi Wang, Hui Wang, Tiancheng Jin
2021 A* conf
Maximizing the Benefit of RDMA at End Hosts.
INFOCOM
Xiaoliang Wang, Hexiang Song, Cam-Tu Nguyen, Dongxu Cheng, Tiancheng Jin
2021 A* conf
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition.
NeurIPS
Tiancheng Jin, Longbo Huang, Haipeng Luo
2021 J jnl
The best of both worlds: stochastic and adversarial episodic MDPs with unknown transition.
CoRR
Tiancheng Jin, Longbo Huang, Haipeng Luo
2020 A* conf
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition.
ICML
Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu
2020 A* conf
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition.
NeurIPS
Tiancheng Jin, Haipeng Luo
2020 J jnl
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition.
CoRR
Tiancheng Jin, Haipeng Luo
2019 J jnl
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem.
CoRR
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
ICDM
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 — conf
FinExpert: domain-specific test generation for FinTech systems.
ESEC/SIGSOFT FSE
Tiancheng Jin, Qingshun Wang, Lihua Xu, Chunmei Pan, Liang Dou, Haifeng Qian, Liang He, Tao Xie
2019 J jnl
Learning Adversarial MDPs with Bandit Feedback and Unknown Transition.
CoRR
Tiancheng Jin, Haipeng Luo
2018 C conf
Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems.
ACML
Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang