Hengyu Liu - RankMe

32 papers A* 3A 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform. CoRR Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Yushuai Li, Tiancheng Zhang, Torben Bach Pedersen, Christian S. Jensen
2026	J	`jnl`	Federated neural nonparametric point processes. Artif. Intell. Hui Chen, Xuhui Fan, Hengyu Liu, Yaqiong Li, Zhi-Lin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2026	A*	`conf`	S²KT: Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions. WWW Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Mingxing Shao, Minghe Yu, Yifang Yin, Ge Yu
2026	J	`jnl`	VISTA: Knowledge-Driven Interpretable Vessel Trajectory Imputation via Large Language Models. CoRR Hengyu Liu, Tianyi Li, Haoyu Wang, Kristian Torp, Tiancheng Zhang, Yushuai Li, Christian S. Jensen
2025	J	`jnl`	ACTIVE: Continuous Similarity Search for Vessel Trajectories. CoRR Tiantian Liu, Hengyu Liu, Tianyi Li, Kristian Torp, Christian S. Jensen
2025	J	`jnl`	Advancing Knowledge Tracing by Exploring Follow-up Performance Trends. CoRR Hengyu Liu, Yushuai Li, Minghe Yu, Tiancheng Zhang, Ge Yu, Torben Bach Pedersen, Kristian Torp, Christian S. Jensen, Tianyi Li
2025	J	`jnl`	Autoformalization in the Era of Large Language Models: A Survey. CoRR Ke Weng, Lun Du, Sirui Li, Wangyue Lu, Haozhe Sun, Hengyu Liu, Tiancheng Zhang
2025	J	`jnl`	Automated Formalization via Conceptual Retrieval-Augmented LLMs. CoRR Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu
2025	J	`jnl`	FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. IEEE Trans. Neural Networks Learn. Syst. Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2025	—	`conf`	Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing. ECML/PKDD (7) Mingxing Shao, Tiancheng Zhang, Minghe Yu, Zhenghao Liu, Yifang Yin, Hengyu Liu, Ge Yu
2025	J	`jnl`	MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data (Extended Version). CoRR Hengyu Liu, Tianyi Li, Yuqiang He, Kristian Torp, Yushuai Li, Christian S. Jensen
2025	J	`jnl`	MH-GIN: Multi-scale Heterogeneous Graph-based Imputation Network for AIS Data. Proc. VLDB Endow. Hengyu Liu, Tianyi Li, Yuqiang He, Kristian Torp, Yushuai Li, Christian S. Jensen
2025	J	`jnl`	MSC-180: A Benchmark for Automated Formal Theorem Proving from Mathematical Subject Classification. CoRR Sirui Li, Wangyue Lu, Xiaorui Shi, Ke Weng, Haozhe Sun, Minghe Yu, Tiancheng Zhang, Ge Yu, Hengyu Liu, Lun Du
2025	A*	`conf`	RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations. ICML Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, Tianyi Li
2024	J	`jnl`	A probabilistic generative model for tracking multi-knowledge concept mastery probability. Frontiers Comput. Sci. Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
2024	J	`jnl`	FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. CoRR Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao
2024	J	`jnl`	Federated Neural Nonparametric Point Processes. CoRR Hui Chen, Hengyu Liu, Yaqiong Li, Xuhui Fan, Zhilin Zhao, Feng Zhou, Christopher John Quinn, Longbing Cao
2024	J	`jnl`	Marked Temporal Bayesian Flow Point Processes. CoRR Hui Chen, Xuhui Fan, Hengyu Liu, Longbing Cao
2023	J	`jnl`	A Probabilistic Generative Model for Tracking Multi-Knowledge Concept Mastery Probability. CoRR Hengyu Liu, Tiancheng Zhang, Fan Li, Minghe Yu, Ge Yu
2023	J	`jnl`	A sampling method based on forecasting and combinatorial optimization for high performance A/B testing. Frontiers Comput. Sci. Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhibin Ren, Donglin Di, Xiao Wang, Po Zhang, Ge Yu
2023	J	`jnl`	A subspace constraint based approach for fast hierarchical graph embedding. World Wide Web (WWW) Minghe Yu, Xu Chen, Xinhao Gu, Hengyu Liu, Lun Du
2023	J	`jnl`	Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. CoRR Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
2023	J	`jnl`	GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. CoRR Jiayan Guo, Lun Du, Hengyu Liu
2023	J	`jnl`	Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. CoRR Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang
2022	A*	`conf`	GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. WWW Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang
2022	J	`jnl`	HTGN-BTW: Heterogeneous Temporal Graph Network with Bi-Time-Window Training Strategy for Temporal Link Prediction. CoRR Chongjian Yue, Lun Du, Qiang Fu, Wendong Bi, Hengyu Liu, Yu Gu, Di Yao
2022	A	`conf`	Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
2022	J	`jnl`	Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang
2021	J	`jnl`	GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. CoRR Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang
2021	J	`jnl`	Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer. IEEE Access Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu
2018	—	`conf`	An ELM-Based Ensemble Strategy for POI Recommendation. ELM Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu
2018	J	`jnl`	ELM-based convolutional neural networks making move prediction in Go. Soft Comput. Xiangguo Zhao, Zhongyu Ma, Boyang Li, Zhen Zhang, Hengyu Liu