An ELM-Based Ensemble Strategy for POI Recommendation. - Xue He; Tiancheng Zhang 001; Hengyu Liu 001; Ge Yu 001 (ELM, 2018)

ELM-based convolutional neural networks making move prediction in Go. - Xiangguo Zhao; Zhongyu Ma; Boyang Li 006; Zhen Zhang; Hengyu Liu 001 (Soft Comput., 2018)

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer. - Hengyu Liu 001; Tiancheng Zhang 001; Fan Li; Yu Gu 002; Ge Yu 001 (IEEE Access, 2021)

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. - Lun Du; Xiaozhou Shi; Qiang Fu 015; Hengyu Liu 001; Shi Han; Dongmei Zhang 001 (CoRR, 2021)

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. - Hengyu Liu 001; Qiang Fu 015; Lun Du; Tiancheng Zhang 001; Ge Yu 001; Shi Han; Dongmei Zhang 001 (CIKM, 2022)

GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. - Lun Du; Xiaozhou Shi; Qiang Fu 015; Xiaojun Ma; Hengyu Liu 001; Shi Han; Dongmei Zhang 001 (WWW, 2022)

HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. - Chongjian Yue; Lun Du; Qiang Fu 015; Wendong Bi; Hengyu Liu 001; Yu Gu 002; Di Yao 001 (CoRR, 2022)

GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. - Jiayan Guo; Lun Du; Hengyu Liu 001 (CoRR, 2023)

Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. - Chongjian Yue; Xinrun Xu; Xiaojun Ma; Lun Du; Hengyu Liu 001; Zhiming Ding; Yanbing Jiang; Shi Han; Dongmei Zhang 001 (CoRR, 2023)

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. - Hui Chen 026; Hengyu Liu 001; Longbing Cao; Tiancheng Zhang 001 (CoRR, 2023)

A subspace constraint based approach for fast hierarchical graph embedding. - Minghe Yu; Xu Chen 022; Xinhao Gu; Hengyu Liu 001; Lun Du (World Wide Web (WWW), 2023)

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing. - Fan Li; Tiancheng Zhang 001; Shengjia Cui; Hengyu Liu 001; Zhibin Ren; Donglin Di; Xiao Wang; Po Zhang; Ge Yu 001 (Frontiers Comput. Sci., 2023)

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. - Hui Chen 026; Hengyu Liu 001; Zhangkai Wu; Xuhui Fan 001; Longbing Cao (CoRR, 2024)

Federated Neural Nonparametric Point Processes. - Hui Chen 026; Hengyu Liu 001; Yaqiong Li; Xuhui Fan 001; Zhilin Zhao 001; Feng Zhou 011; Christopher John Quinn; Longbing Cao (CoRR, 2024)

Marked Temporal Bayesian Flow Point Processes. - Hui Chen 026; Xuhui Fan 001; Hengyu Liu 001; Longbing Cao (CoRR, 2024)

A probabilistic generative model for tracking multi-knowledge concept mastery probability. - Hengyu Liu 001; Tiancheng Zhang 001; Fan Li; Minghe Yu; Ge Yu 001 (Frontiers Comput. Sci., 2024)

ACTIVE: Continuous Similarity Search for Vessel Trajectories. - Tiantian Liu 003; Hengyu Liu 001; Tianyi Li 005; Kristian Torp; Christian S. Jensen (CoRR, 2025)

Autoformalization in the Era of Large Language Models: A Survey. - Ke Weng; Lun Du; Sirui Li; Wangyue Lu; Haozhe Sun; Hengyu Liu 001; Tiancheng Zhang 001 (CoRR, 2025)

MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version). - Hengyu Liu 001; Tianyi Li 005; Yuqiang He; Kristian Torp; Yushuai Li; Christian S. Jensen (CoRR, 2025)

Automated Formalization via Conceptual Retrieval-Augmented LLMs. - Wangyue Lu; Lun Du; Sirui Li; Ke Weng; Haozhe Sun; Hengyu Liu 001; Minghe Yu; Tiancheng Zhang 001; Ge Yu 001 (CoRR, 2025)

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends. - Hengyu Liu 001; Yushuai Li; Minghe Yu; Tiancheng Zhang 001; Ge Yu 001; Torben Bach Pedersen; Kristian Torp; Christian S. Jensen; Tianyi Li 005 (CoRR, 2025)