Tiancheng Zhang

50 papers A* 3A 3C 3Misc 3Journal 22Unranked 16

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	A*	`conf`	Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks. WWW Mingxing Shao, Tiancheng Zhang, Yifang Yin, Wenhui Wu, Zikai Li, Minghe Yu, Fangling Leng, Ge Yu
2026	J	`jnl`	MeLoRA : Probability measures-based low-rank adaptation with Gaussian variational inference. Knowl. Based Syst. Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Yuhai Zhao, XuLei Yang, Min Wu, Ge Yu
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`	A Survey of Static and Temporal Explainable Methods and Their Applications in Knowledge Tracing. J. Comput. Sci. Technol. Fan Li, Tiancheng Zhang, Yifang Yin, Di Fan, Minghe Yu, Ge Yu
2025	J	`jnl`	A probabilistic optimizer for binary neural networks. Neurocomputing Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Min Wu, Ge Yu, Yuhai Zhao
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	—	`conf`	Fetan: Enhancing Few-Shot Classification on Text-Attributed Graphs with In-Context Learning of LLMs. APWeb-WAIM (3) Yun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang, Ge Yu
2025	J	`jnl`	HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs. IEEE Trans. Knowl. Data Eng. Minghe Yu, Yun Zhang, Jintong Sun, Min Huang, Tiancheng Zhang, Ge Yu
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`	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`	Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency. IJCAI Fan Li, Tiancheng Zhang, Yifang Yin, Minghe Yu, Mengxiang Wang, Ge Yu
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	A	`conf`	Multi-contrast MRI Reconstruction with Deformable Attention and Invertible Network. ICME Tiancheng Zhang, Xinyi Zhang
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`	BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem. Symmetry Yijia Zhang, Tiancheng Zhang, Peng Xie, Minghe Yu, Ge Yu
2023	J	`jnl`	Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. CoRR Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang
2023	—	`conf`	MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation. DASFAA (2) Yun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang, Ge Yu
2023	J	`jnl`	New development of cognitive diagnosis models. Frontiers Comput. Sci. Yingjie Liu, Tiancheng Zhang, Xuecen Wang, Ge Yu, Tao Li
2022	J	`jnl`	An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing. Int. J. Softw. Informatics Xue He, Tiancheng Zhang, Minghe Yu, Ge Yu, Yuhai Zhao
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
2022	—	`conf`	MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism. CSSE Shaopeng Yang, Tiancheng Zhang, Siyuan Mao, Ge Yu, Yiming Sun
2022	J	`jnl`	Semantic enhanced Top-k similarity search on weighted HIN. Neural Comput. Appl. Yun Zhang, Minghe Yu, Tiancheng Zhang, Ge Yu
2021	Misc	`conf`	Graph-Encoder and Multi-decoders Solution Framework with Multi-attention. WISA Hui Cai, Tiancheng Zhang, Xianghui Sun, Minghe Yu, Ge Yu
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
2020	—	`conf`	Semantic Enhanced Top-k Similarity Search on Heterogeneous Information Networks. DASFAA (3) Minghe Yu, Yun Zhang, Tiancheng Zhang, Ge Yu
2019	Misc	`conf`	Analysis of Macro Factors of Welfare Lottery Marketing Based on Big Data. WISA Cheng Li, Hua Shao, Tiancheng Zhang, Ge Yu
2019	—	`conf`	Small Traffic Sign Detection Through Selective Feature Fusion Based Faster R-CNN With Arc-Softmax Loss. IWCTS@SIGSPATIAL Site Li, Yang Gu, Zhichao Song, Tengfei Xing, Yiping Meng, Pengfei Xu, Runbo Hu, Tiancheng Zhang, Ge Yu, Hua Chai
2018	—	`conf`	An ELM-Based Ensemble Strategy for POI Recommendation. ELM Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu
2018	—	`conf`	Semi-supervised Dictionary Active Learning for Pattern Classification. PRCV (3) Qin Zhong, Meng Yang, Tiancheng Zhang
2015	—	`conf`	A Friend Recommendation Algorithm Based on Multiple Factors in LBSNs. IEEE WISA Tiancheng Zhang, Wei Wang, Dejun Yue, Ge Yu
2015	—	`conf`	A Strategy of Inferring Containment Relationship Based on Multiple Readers' Three-State Model. IEEE WISA Tiancheng Zhang, Baojun Wang, Fan Kai, Chunliang Zhang
2015	—	`conf`	Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World. BigCom Qian Ma, Yu Gu, Tiancheng Zhang, Fangfang Li, Ge Yu
2014	J	`jnl`	Research and Implementation of an RFID Simulation System Supporting Trajectory Analysis. J. Softw. Tiancheng Zhang, Yifang Yin, Dejun Yue, Xirui Wang, Ge Yu
2013	C	`conf`	An Active Service Reselection Triggering Mechanism. APWeb Ying Yin, Tiancheng Zhang, Bin Zhang, Gang Sheng, Yuhai Zhao, Ming Li
2012	C	`conf`	A Simulation Platform for RFID Application Deployment Supporting Multiple Scenarios. CIS Tiancheng Zhang, Yifang Yin, Dejun Yue, Qian Ma, Ge Yu
2012	—	`conf`	Algebra for Parallel XQuery Processing. WAIM Workshops Haixu Miao, Tiezheng Nie, Dejun Yue, Tiancheng Zhang, Jinshen Liu
2012	C	`conf`	Study of an RFID Based Object-Relationship Recognition System. CIS Tiancheng Zhang, Xiaonan Yu, Dejun Yue, Yu Gu, Ge Yu
2011	Misc	`conf`	Efficient Keyword Search for SLCA in Parallel XML Databases. WISA Dejun Yue, Ge Yu, Jinshen Liu, Tiancheng Zhang, Tiezheng Nie, Fangfang Li
2010	—	`conf`	Efficient Similarity Query in RFID Trajectory Databases. WAIM Yanqiu Wang, Ge Yu, Yu Gu, Dejun Yue, Tiancheng Zhang
2009	J	`jnl`	Adaptive correlation analysis in stream time series with sliding windows. Comput. Math. Appl. Tiancheng Zhang, Dejun Yue, Yu Gu, Yi Wang, Ge Yu
2009	—	`conf`	Effective Similarity Analysis over Event Streams Based on Sharing Extent. APWeb/WAIM Yanqiu Wang, Ge Yu, Tiancheng Zhang, Dejun Yue, Yu Gu, Xiaolong Hu
2009	—	`conf`	Research on Event Prediction Algorithm Based on Event Sequence Semantic. FSKD (5) Chuanfei Xu, Shukuan Lin, Jianzhong Qiao, Ge Yu, Tiancheng Zhang
2007	A	`conf`	Boolean representation based data-adaptive correlation analysis over time series streams. CIKM Tiancheng Zhang, Dejun Yue, Yu Gu, Ge Yu
2007	—	`conf`	Correlation Analysis Based on Hierarchical Boolean Representation over Time Series Data Streams. FSKD (2) Tiancheng Zhang, Dejun Yue, Ge Yu, Yu Gu