Tiancheng Jin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
6
Venues
6
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
6 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | SEKE | Heterogeneous Directed Hypergraph Neural Network over abstract syntax tree (AST) for Code Classification. | Guang Yang, Tiancheng Jin, Liang Dou |
| 2022 | UIC | Difficulty-aware Convolutional Knowledge Tracing for Student Performance Prediction. | Yuan Zeng, Tiancheng Jin, Liang Dou |
| 2021 | INFOCOM | Maximizing the Benefit of RDMA at End Hosts. | Xiaoliang Wang, Hexiang Song, Cam-Tu Nguyen, Dongxu Cheng, Tiancheng Jin |
| 2020 | ICML | Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition. | Chi Jin, Tiancheng Jin, Haipeng Luo, Suvrit Sra, Tiancheng Yu |
| 2019 | ICDM | Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. | John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye |
| 2018 | ACML | Boosting Dynamic Programming with Neural Networks for Solving NP-hard Problems. | Feidiao Yang, Tiancheng Jin, Tie-Yan Liu, Xiaoming Sun, Jialin Zhang |