| 2026 | AAAI | Learning Structurally Stabilized Representations for Lossless DNA Storage. | Ben Cao, Xue Li, Tiantian He, Bin Wang, Shihua Zhou, Xiaohu Wu, Qiang Zhang |
| 2026 | AAAI | A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling. | Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander |
| 2026 | ISKE | Online Fatigue-Aware Power Dispatch for Wind Farms with Hard Feasibility Guarantees. | Jiangtao Zhao, Lin Zhang, Tiantian He, Tianyi Zhang, Ximeng Wang, Bin Wang, Feng Hong |
| 2026 | WWW | Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation. | Hongxu Wang, Yingpeng Du, Zhu Sun, Lu Zhang, Tiantian He, Yew-Soon Ong |
| 2026 | SIGIR | Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation. | Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He, Xiaoxiao Xu, Zixiu Wang, Lantao Hu, Yongqi Liu, Han Li, Kaiqiao Zhan, Kun Gai |
| 2025 | ICML | 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 |
| 2025 | IECON | PMSM Rotor Position Estimation via Hall Vector Filtering Phase-Locked Method. | Yue Li, Ruiqing Ma, Xiong Wang, Jingzhi Liang, Tiantian He |
| 2024 | AAAI | 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 |
| 2024 | ICLR | Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. | Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaa Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander |
| 2024 | SMC | SCG: A Novel Spatiotemporal Coupling Graph Convolutional Network-Incorporated Approach for Dynamic QoS Estimation. | Fanghui Bi, Tiantian He |
| 2024 | SMC | Discrete Multi-View Feature Propagation Preserving Graph Clustering. | Zhixuan Duan, Zuo Wang, Fanghui Bi, Tiantian He |
| 2023 | MICCAI | A Coupled-Mechanisms Modelling Framework for Neurodegeneration. | Tiantian He, Elinor Thompson, Anna Schroder, Neil P. Oxtoby, Ahmed Abdulaal, Frederik Barkhof, Daniel C. Alexander |
| 2022 | ICDM | A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation. | Fanghui Bi, Tiantian He, Xin Luo |
| 2019 | ICTAI | Manifold Regularized Stochastic Block Model. | Tiantian He, Lu Bai, Yew-Soon Ong |
| 2019 | VCIP | An Improved QoE Evaluation Model for HTTP Adaptive Streaming. | Zaixin Yang, Tiantian He, Li Song, Rong Xie, Xiao Gu |
| 2018 | ISMIS | Learning Latent Factors in Linked Multi-modality Data. | Tiantian He, Keith C. C. Chan |
| 2017 | ICTAI | Deep Fusion of Multiple Networks for Learning Latent Social Communities. | Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung |
| 2017 | WWW | Deep Graph Clustering in Social Network. | Pengwei Hu, Keith C. C. Chan, Tiantian He |
| 2014 | CEC | Evolutionary community detection in social networks. | Tiantian He, Keith C. C. Chan |
| 2011 | ICONIP | Learning Based Visibility Measuring with Images. | Xu-Cheng Yin, Tiantian He, Hong-Wei Hao, Xi Xu, Xiao-Zhong Cao, Qing Li |