He, Tiantian

6 publications

ICML 2025 Voronoi-Grid-Based Pareto Front Learning and Its Application to Collaborative Federated Learning Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu

ICLR 2024 Causal Modelling Agents: Causal Graph Discovery Through Synergising Metadata- and Data-Driven Reasoning Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montana-Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander

AAAI 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao

NeurIPS 2024 Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu

NeurIPS 2024 Road Network Representation Learning with the Third Law of Geography Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong

NeurIPS 2021 Learning Conjoint Attentions for Graph Neural Nets Tiantian He, Yew Soon Ong, L Bai