Cui, Tianyu

11 publications

ICLRW 2025 Generalist World Model Pre-Training for Efficient Reinforcement Learning Yi Zhao, Aidan Scannell, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen

ICML 2025 Geometric Hyena Networks for Large-Scale Equivariant Learning Artem Moskalev, Mangal Prakash, Junjie Xu, Tianyu Cui, Rui Liao, Tommaso Mansi

ICML 2025 InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference Tianyu Cui, Song-Jun Xu, Artem Moskalev, Shuwei Li, Tommaso Mansi, Mangal Prakash, Rui Liao

ICLRW 2025 InfoSEM: A Deep Generative Model with Informative Priors for Gene Regulatory Network Inference Tianyu Cui, Song-Jun Xu, Artem Moskalev, Shuwei Li, Tommaso Mansi, Mangal Prakash, Rui Liao

ICLRW 2025 Molecular Property Prediction Using Pretrained-BERT and Bayesian Active Learning: A Data-Efficient Approach to Drug Design Muhammad Arslan Masood, Samuel Kaski, Tianyu Cui

ICML 2024 Harmonizing Generalization and Personalization in Federated Prompt Learning Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi

AISTATS 2023 Incorporating Functional Summary Information in Bayesian Neural Networks Using a Dirichlet Process Likelihood Approach Vishnu Raj, Tianyu Cui, Markus Heinonen, Pekka Marttinen

NeurIPS 2023 Two Sides of the Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi

NeurIPS 2022 Deconfounded Representation Similarity for Comparison of Neural Networks Tianyu Cui, Yogesh Kumar, Pekka Marttinen, Samuel Kaski

ECML-PKDD 2022 GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation Tianyu Cui, Gang Xiong, Chang Liu, Junzheng Shi, Peipei Fu, Gaopeng Gou

ECML-PKDD 2020 6VecLM: Language Modeling in Vector Space for IPv6 Target Generation Tianyu Cui, Gang Xiong, Gaopeng Gou, Junzheng Shi, Wei Xia