Tiantian He - RankMe

66 papers A* 7B 6C 1Journal 47Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-adaptive Graph Neural Networks for Next POI recommendation. Electron. Commer. Res. Appl. Yu Lei, Limin Shen, Zhu Sun, Tiantian He
2026	A*	`conf`	Learning Structurally Stabilized Representations for Lossless DNA Storage. AAAI Ben Cao, Xue Li, Tiantian He, Bin Wang, Shihua Zhou, Xiaohu Wu, Qiang Zhang
2026	J	`jnl`	Modularized Graph Convolutional Network. IEEE CAA J. Autom. Sinica Tiantian He, Zhixuan Duan, Xin Luo
2026	J	`jnl`	Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling Factor. CoRR Jiayu Huang, Xiaohu Wu, Tiantian He, Qicheng Lao
2026	J	`jnl`	Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data. CoRR Yuanqiao Zhang, Tiantian He, Yuan Gao, Yixin Wang, Yew-Soon Ong, Maoguo Gong, A. K. Qin, Hui Li
2025	J	`jnl`	A Proximal-ADMM-Incorporated Nonnegative Latent-Factorization-of-Tensors Model for Representing Dynamic Cryptocurrency Transaction Network. IEEE Trans. Syst. Man Cybern. Syst. Xin Liao, Hao Wu, Tiantian He, Xin Luo
2025	J	`jnl`	Achieving handle-level random access in an encrypted DNA archival storage system via frequency dictionary mapping coding. Patterns Ben Cao, Xue Li, Bin Wang, Tiantian He, Yanfen Zheng, Xiaokang Zhang, Qiang Zhang
2025	J	`jnl`	BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs. CoRR Junxiao Yang, Jinzhe Tu, Haoran Liu, Xiaoce Wang, Chujie Zheng, Zhexin Zhang, Shiyao Cui, Caishun Chen, Tiantian He, Hongning Wang, Yew-Soon Ong, Minlie Huang
2025	J	`jnl`	COSTA: Contrastive Spatial and Temporal Debiasing framework for next POI recommendation. Neural Networks Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Shanshan Feng, Guanfeng Liu
2025	J	`jnl`	Co-Learning Bayesian Optimization. CoRR Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
2025	J	`jnl`	Context-Adaptive Graph Neural Networks for Next POI Recommendation. CoRR Yu Lei, Limin Shen, Zhu Sun, Tiantian He, Yew-Soon Ong
2025	J	`jnl`	Discovering Spatiotemporal-Individual Coupled Features From Nonstandard Tensors - A Novel Dynamic Graph Mixer Approach. IEEE Trans. Neural Networks Learn. Syst. Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025	J	`jnl`	Graph Linear Convolution Pooling for Learning in Incomplete High-Dimensional Data. IEEE Trans. Knowl. Data Eng. Fanghui Bi, Tiantian He, Yew-Soon Ong, Xin Luo
2025	J	`jnl`	Natural Gas Pipeline Leak Detection Based on Dual Feature Drift in Acoustic Signals. IEEE Trans. Ind. Informatics Lizhong Yao, Yu Zhang, Ling Wang, Rui Li, Tiantian He
2025	J	`jnl`	Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization. CoRR Hongxu Wang, Zhu Sun, Yingpeng Du, Lu Zhang, Tiantian He, Yew-Soon Ong
2025	A*	`conf`	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. ICML Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2025	J	`jnl`	Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. CoRR Mengmeng Chen, Xiaohu Wu, Qiqi Liu, Tiantian He, Yew-Soon Ong, Yaochu Jin, Qicheng Lao, Han Yu
2024	J	`jnl`	A Fast Nonnegative Autoencoder-Based Approach to Latent Feature Analysis on High-Dimensional and Incomplete Data. IEEE Trans. Serv. Comput. Fanghui Bi, Tiantian He, Xin Luo
2024	J	`jnl`	A prediction method of diabetes comorbidity based on non-negative latent features. Neurocomputing Leming Zhou, Kechen Liu, Yonghong Wang, Hanshu Qin, Tiantian He
2024	J	`jnl`	Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Differentiable Clustering for Graph Attention. IEEE Trans. Knowl. Data Eng. Haicang Zhou, Tiantian He, Yew-Soon Ong, Gao Cong, Quan Chen
2024	B	`conf`	Discrete Multi-View Feature Propagation Preserving Graph Clustering. SMC Zhixuan Duan, Zuo Wang, Fanghui Bi, Tiantian He
2024	J	`jnl`	Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening. CoRR Zhangfan Yang, Junkai Ji, Shan He, Jianqiang Li, Tiantian He, Ruibin Bai, Zexuan Zhu, Yew Soon Ong
2024	A*	`conf`	FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao
2024	A*	`conf`	Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage. CoRR Ben Cao, Tiantian He, Xue Li, Bin Wang, Xiaohu Wu, Qiang Zhang, Yew-Soon Ong
2024	J	`jnl`	Polarized message-passing in graph neural networks. Artif. Intell. Tiantian He, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo
2024	A*	`conf`	Road Network Representation Learning with the Third Law of Geography. NeurIPS Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong
2024	J	`jnl`	Road Network Representation Learning with the Third Law of Geography. CoRR Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong
2024	B	`conf`	SCG: A Novel Spatiotemporal Coupling Graph Convolutional Network-Incorporated Approach for Dynamic QoS Estimation. SMC Fanghui Bi, Tiantian He
2023	J	`jnl`	FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao
2023	J	`jnl`	Piggybacking on past problem for faster optimization in aluminum electrolysis process design. Eng. Appl. Artif. Intell. Lizhong Yao, Tiantian He, Haijun Luo
2023	J	`jnl`	Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. Yu Xie, Yanfeng Liang, Maoguo Gong, A. K. Qin, Yew-Soon Ong, Tiantian He
2023	J	`jnl`	Two-Stream Graph Convolutional Network-Incorporated Latent Feature Analysis. IEEE Trans. Serv. Comput. Fanghui Bi, Tiantian He, Yuetong Xie, Xin Luo
2022	A*	`conf`	A Two-Stream Light Graph Convolution Network-based Latent Factor Model for Accurate Cloud Service QoS Estimation. ICDM Fanghui Bi, Tiantian He, Xin Luo
2022	J	`jnl`	A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process. Appl. Intell. Lizhong Yao, Wei Ding, Tiantian He, Shouxin Liu, Ling Nie
2022	J	`jnl`	Co-Learning Bayesian Optimization. IEEE Trans. Cybern. Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu
2022	J	`jnl`	Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong
2022	J	`jnl`	Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. Tiantian He, Lu Bai, Yew-Soon Ong
2021	J	`jnl`	Dynamic evolutionary model based on a multi-sampling inherited HAPFNN for an aluminium electrolysis manufacturing system. Appl. Soft Comput. Wei Ding, Lizhong Yao, Yanyan Li, Wei Long, Jun Yi, Tiantian He
2021	J	`jnl`	Exploiting higher-order patterns for community detection in attributed graphs. Integr. Comput. Aided Eng. Lun Hu, Xiangyu Pan, Hong Yan, Pengwei Hu, Tiantian He
2021	—	`conf`	Fuzzy Community Detection with Multi-View Correlated Topics. WI/IAT (Workshop/Special Session) Lizhong Yao, Tiantian He
2021	J	`jnl`	Graph Joint Attention Networks. CoRR Tiantian He, Lu Bai, Yew-Soon Ong
2021	A*	`conf`	Learning Conjoint Attentions for Graph Neural Nets. NeurIPS Tiantian He, Yew Soon Ong, Lu Bai
2021	J	`jnl`	Multi-source propagation aware network clustering Neurocomputing Tiantian He, Yew-Soon Ong, Pengwei Hu
2020	J	`jnl`	Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Trans. Cybern. Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong
2020	J	`jnl`	Multi-task gradient descent for multi-task learning. Memetic Comput. Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2020	J	`jnl`	Precise object detection using adversarially augmented local/global feature fusion. Eng. Appl. Artif. Intell. Xiaobing Han, Tiantian He, Yew-Soon Ong, Yanfei Zhong
2020	J	`jnl`	Relational Thematic Clustering with Mutually Preferred Neighbors. CoRR Tiantian He, Lu Bai, Yew-Soon Ong
2019	J	`jnl`	A Multi-Task Gradient Descent Method for Multi-Label Learning. CoRR Lu Bai, Yew-Soon Ong, Tiantian He, Abhishek Gupta
2019	B	`conf`	Manifold Regularized Stochastic Block Model. ICTAI Tiantian He, Lu Bai, Yew-Soon Ong
2019	J	`jnl`	Measuring Boundedness for Protein Complex Identification in PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Tiantian He, Keith C. C. Chan
2018	J	`jnl`	An eigenvector based center selection for fast training scheme of RBFNN. Inf. Sci. Yan-Xing Hu, Jane Jia You, James N. K. Liu, Tiantian He
2018	B	`conf`	Clustering in Networks with Multi-Modality Attributes. WI Tiantian He, Keith C. C. Chan, Libin Yang
2018	J	`jnl`	Discovering Fuzzy Structural Patterns for Graph Analytics. IEEE Trans. Fuzzy Syst. Tiantian He, Keith C. C. Chan
2018	J	`jnl`	Evolutionary Graph Clustering for Protein Complex Identification. IEEE ACM Trans. Comput. Biol. Bioinform. Tiantian He, Keith C. C. Chan
2018	—	`conf`	Learning Deep Representations in Large Integrated Network for Graph Clustering. AIKE Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan
2018	J	`jnl`	Learning Latent Factors for Community Identification and Summarization. IEEE Access Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
2018	C	`conf`	Learning Latent Factors in Linked Multi-modality Data. ISMIS Tiantian He, Keith C. C. Chan
2018	—	`conf`	Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan
2018	J	`jnl`	MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs. IEEE Trans. Cybern. Tiantian He, Keith C. C. Chan
2018	—	`conf`	Towards Learning Emotional Subspace. MediaEval Tobey H. Ko, Zhonglei Gu, Tiantian He, Yang Liu
2017	B	`conf`	Deep Fusion of Multiple Networks for Learning Latent Social Communities. ICTAI Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung
2017	—	`conf`	Deep Graph Clustering in Social Network. WWW (Companion Volume) Pengwei Hu, Keith C. C. Chan, Tiantian He
2014	B	`conf`	Evolutionary community detection in social networks. IEEE Congress on Evolutionary Computation Tiantian He, Keith C. C. Chan