张天成｜东北大学｜学者主页

2026

机器阅读理解研究综述

张天成，王雅婷，李凡，孙相会，于明鹤，于戈

《计算机学报》

2026

音频驱动的跨模态交互技术综述

唐明曙，于明鹤，张天成，于戈

《华东师范大学学报(自然科学版)》

2026

HGC-FKT:异构反事实图增强的公平知识追踪模型

于洋，王雅婷，张天成，于明鹤，于戈

《华东师范大学学报(自然科学版)》

2026

CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform

Hengyu Liu, Tian-Yi Li, Haoyu Wang, Kristian Torp, Yu-Shuai Li, Tiancheng Zhang, T. Pedersen, Christian S. Jensen

SIGMOD Companion

DOI

2026

MeLoRA : Probability measures-based low-rank adaptation with Gaussian variational inference

Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Yu-Hai Zhao, Xu-Lei Yang, Min Wu, Gensitskiy Yu.

Knowledge-Based Systems

DOI

2026

VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenance

Hengyu Liu, Tian-Yi Li, Haoyu Wang, Kristian Torp, Tiancheng Zhang, Yu-Shuai Li, Christian S. Jensen

2026

Calibrating distributions, not just networks: The PR-Q method for low-bit quantization

Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Yu-Hai Zhao, Xu-Lei Yang, Min Wu, Gensitskiy Yu.

Neurocomputing

DOI

2026

DPC-Net: A Decouple-Predict-Correct Framework for Long-Term Time Series Forecasting

Xiangyu Su, Zhihong Cui, Heng-Yu Liu, Tiancheng Zhang, Minghe Yu

International Conference on Database Systems for Advanced Applications

DOI

2026

MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG

Weidong Bao, Ying-Ying Sun, Jun Yang, Yilin Wang, Zi-Li Wei, Y. Bao, Fangling Leng, Minghe Yu, Tiancheng Zhang, Ge Yu

2026

Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks

Ming-Xing Shao, Tiancheng Zhang, Yifang Yin, Wenhui Wu, Zikai Li, Ming-He Yu, Fangling Leng, Ge Yu

The Web Conference

DOI

2026

S²KT:Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions

Wenhui Wu, Tiancheng Zhang, Hengyu Liu, Lun Du, Zikai Li, Ming-Xing Shao, Ming-He Yu, Yifang Yin, Ge Yu

The Web Conference

DOI

2026

Low-Rank Guided Attention with Wavelet Augmentation for Sequential Recommendation

Hao Li, Ming-Xing Shao, Tiancheng Zhang, Minghe Yu, Xue Geng, Ge Yu

International Conference on Database Systems for Advanced Applications

DOI

2026

LACEREC: Controllable Sequential Recommendation with Weak-Signal Enhancement

Xin Zhang, Tiancheng Zhang, Zhihong Cui, Ming-He Yu, Hengyu Liu, Yang Yu, Gensitskiy Yu.

IEEE International Conference on Acoustics, Speech, and Signal Processing

DOI

2026

TQR : Modelling user temporal preference for effective question routing

Jia Xu, Zhengkai Li, Pin Lv, Hengyu Liu, Zulong Chen, Ning Wang, Tiancheng Zhang

Neural Networks

DOI

2025

基于对比学习的数学应用题求解方法研究

张天成，王玉杨，张亦嘉，于明鹤，冷芳玲，于戈

《大数据》

2025

基于双仿射模型与指针网络联合建模的知识图谱问答模型

张天成，鞠振昊，孙相会，许嘉，于明鹤，刘恒宇，于思淼，于戈

《华南师范大学学报(自然科学版)》

2025

LW-YOLOv7SAR:轻量SAR图像目标检测方法

邹珺淏，任酉贵，冷芳玲，鲍玉斌，张天成，于戈

《小型微型计算机系统》

DOI

2025

Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing

M. Shao, Tiancheng Zhang, Minghe Yu, Zheng-Hao Liu, Yifang Yin, Hengyu Liu, Ge Yu

ECML/PKDD

DOI

2025

Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency

Fan Li, Tiancheng Zhang, Yifang Yin, Minghe Yu, Mengxiang Wang, Gensitskiy Yu.

International Joint Conference on Artificial Intelligence

DOI

2025

Fetan: Enhancing Few-Shot Classification on Text-Attributed Graphs with In-Context Learning of LLMs

Yun Zhang, Minghe Yu, Jintong Sun, Tiancheng Zhang, Ge Yu

APWeb-WAIM

DOI

2025

A Survey of Static and Temporal Explainable Methods and Their Applications in Knowledge Tracing

Fan Li, Tiancheng Zhang, Yifang Yin, Di Fan, Minghe Yu, Gensitskiy Yu.

Journal of Computational Science and Technology

DOI

2025

CoSrch: Syntactic and Semantic Structure-Aware Code Representation for Effective Code Search

Jia Xu, Yu-Qiang He, Hengyu Liu, Pin Lv, Tiancheng Zhang, Zhi-Hong Tian

ACM Transactions on Software Engineering and Methodology

DOI

2025

HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs

Minghe Yu, Yun Zhang, Jintong Sun, Min Huang, Tiancheng Zhang, Ge Yu

IEEE Transactions on Knowledge and Data Engineering

DOI

2025

RAG-KT: Retrieval Augmented Generation Based Difficulty Estimation for Knowledge Tracing

Hui Ma, Tiancheng Zhang, Wangyue Lu, Fan Li, Minghe Yu, Yifang Yin, Gensitskiy Yu.

WISE

DOI

2025

A probabilistic optimizer for binary neural networks

Xue He, Xue Geng, Tiancheng Zhang, Minghe Yu, Min Wu, Gensitskiy Yu., Yu-Hai Zhao

Neurocomputing

DOI

2025

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends

Hengyu Liu, Yu-Shuai Li, Minghe Yu, Tiancheng Zhang, Gensitskiy Yu., T. Pedersen, Kristian Torp, Christian S. Jensen, Tian-Yi Li

arXiv.org

DOI

2025

An LLM Augmentation and Multitask Learning Based Recommendation Model for MOOCs

Di Fan, Yi-Ning Qian, Yu Zhang, Tiancheng Zhang, Minghe Yu, Gensitskiy Yu.

International Symposium on Image and Signal Processing and Analysis

DOI

2024

DABC: A Named Entity Recognition Method Incorporating Attention Mechanisms

Fangling Leng, Fan Li, Y. Bao, Tiancheng Zhang, Ge Yu

Mathematics

DOI

2024

A Semi-Supervised Active Learning Method for Structured Data Enhancement with Small Samples

Fangling Leng, Fan Li, Wei Lv, Y. Bao, Xiaofeng Liu, Tiancheng Zhang, Ge Yu

Mathematics

DOI

2024

A Data-Driven Learning Interest Topic Tracking Method

Jie Li, Tiancheng Zhang, Xinyi Zhang, Siyuan Mao

International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery

DOI

2024

FSM-BC-BSP: Frequent Subgraph Mining Algorithm Based on BC-BSP

Fangling Leng, Fan Li, Y. Bao, Tiancheng Zhang, Gensitskiy Yu.

Applied Sciences

DOI

2023

Parallel Prediction Method of Knowledge Proficiency Based on Bloom’s Cognitive Theory

Tiancheng Zhang, Hanyu Mao, Hengyu Liu, Ying-Jie Liu, Ming-He Yu, Wen-Hui Wu, Gensitskiy Yu., Bao-Ze Wei, Ya-Juan Guan

Mathematics

DOI

2023

Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach

Tiancheng Zhang, Hengyu Liu, Jia-Le Tao, Yuyang Wang, Ming-He Yu, Hui Chen, Gensitskiy Yu.

Mathematics

DOI

2023

Interpreting Deep Graph Convolutional Networks with Spectrum Perspective

Sisi Zhang, Fan Li, Tiancheng Zhang, Gensitskiy Yu.

Mathematics

DOI

2023

A probabilistic generative model for tracking multi-knowledge concept mastery probability

Hengyu Liu, Tiancheng Zhang, Fan Li, Ming-He Yu, Gensitskiy Yu.

Frontiers of Computer Science

DOI

2023

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations

Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang

arXiv.org

DOI

2023

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing

Fan Li, Tiancheng Zhang, Shengjia Cui, Hengyu Liu, Zhi-Bin Ren, Donglin Di, Xiao Wang, Po Zhang, Gensitskiy Yu.

Frontiers of Computer Science

DOI

2023

MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation

Yun Zhang, Ming-He Yu, Jintong Sun, Tiancheng Zhang, Gensitskiy Yu.

International Conference on Database Systems for Advanced Applications

DOI

2023

Event-Based Probabilistic Embedding for POI Recommendation

Tiancheng Zhang, Hengyu Liu, Xue Geng, Gensitskiy Yu.

Applied Sciences

DOI

2023

BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem

Yi-Jia Zhang, Tiancheng Zhang, Pengyuan Xie, Ming-He Yu, Gensitskiy Yu.

Symmetry

DOI

2022

An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing

Xue He, Tiancheng Zhang, Ming-He Yu, Gensitskiy Yu., Yu-Hai Zhao

International Journal of Software and Informatics

DOI

2022

MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism

Shaopeng Yang, Tiancheng Zhang, Siyuan Mao, Gensitskiy Yu., Yiming Sun

International Conference on Computer Science and Software Engineering

DOI

2022

New development of cognitive diagnosis models

Yingjie Liu, Tiancheng Zhang, Xuecen Wang, Gensitskiy Yu., Tao Li

Frontiers of Computer Science

DOI

2022

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima

Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Gensitskiy Yu., Shi Han, Dong-Mei Zhang

International Conference on Information and Knowledge Management

DOI

2022

ContextKT: A Context-Based Method for Knowledge Tracing

Ming-He Yu, Fan Li, Hengyu Liu, Tiancheng Zhang, Gensitskiy Yu.

Applied Sciences

DOI

2022

Semantic enhanced Top-k similarity search on weighted HIN

Yun Zhang, Ming-He Yu, Tiancheng Zhang, Ge Yu

Neural computing & applications (Print)

DOI

2021

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer

Hengyu Liu, Tiancheng Zhang, Fan Li, Yu Gu, Ge Yu

IEEE Access

DOI

2021

Graph-Encoder and Multi-decoders Solution Framework with Multi-attention

Hui Cai, Tiancheng Zhang, Xianghui Sun, Ming-He Yu, Ge Yu

Web Information System and Application Conference

DOI

2020

Semantic Enhanced Top-k Similarity Search on Heterogeneous Information Networks

Ming-He Yu, Yun Zhang, Tiancheng Zhang, Ge Yu

International Conference on Database Systems for Advanced Applications

DOI

2020

A Dropout Prediction Framework Combined with Ensemble Feature Selection

Dan Ai, Tiancheng Zhang, Ge Yu, Xinying Shao

Proceedings of the 2020 8th International Conference on Information and Education Technology

DOI

2019

A review of knowledge tracking

Henglin Liu, Tiancheng Zhang, Peilin Wu, Gensitskiy Yu.

DOI

2018

An ELM-Based Ensemble Strategy for POI Recommendation

Xue He, Tiancheng Zhang, Hengyu Liu, Ge Yu

International Conference on Extreme Learning Machine

DOI

2016

Road network generation from low frequency GPS trajectory data

Xupeng Miao, Qiang Wang, Tiancheng Zhang

Chinese Control and Decision Conference

DOI

2015

A Strategy of Inferring Containment Relationship Based on Multiple Readers' Three-State Model

Tiancheng Zhang, Baojun Wang, Fan Kai, Chunliang Zhang

Web Information System and Application Conference

DOI

2015

A Friend Recommendation Algorithm Based on Multiple Factors in LBSNs

Tiancheng Zhang, Wei Wang, D. Yue, Ge Yu

Web Information System and Application Conference

DOI

2015

Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World

Qian Ma, Yu Gu, Tiancheng Zhang, Fang-Fan Li, Ge Yu

International Conference on Big Data Computing and Communications

DOI

2014

A Heterogeneous Multi-Source Multi-Mode Sensory Data Acquisition Method Based on Data Quality: A Heterogeneous Multi-Source Multi-Mode Sensory Data Acquisition Method Based on Data Quality

Qian Ma, Yu Gu, Tiancheng Zhang, Ge Yu

DOI

2014

Research and Implementation of an RFID Simulation System Supporting Trajectory Analysis

Tiancheng Zhang, Yifang Yin, D. Yue, Xi-Rui Wang, Ge Yu

Journal of Software

DOI

2012

Study of an RFID Based Object-Relationship Recognition System

Tiancheng Zhang, Xiao-Nan Yu, D. Yue, Yu Gu, Ge Yu

2012 Eighth International Conference on Computational Intelligence and Security

DOI

2012

A Simulation Platform for RFID Application Deployment Supporting Multiple Scenarios

Tiancheng Zhang, Yifang Yin, D. Yue, Qian Ma, Ge Yu

2012 Eighth International Conference on Computational Intelligence and Security

DOI

2012

Algebra for Parallel XQuery Processing

Hai-Xu Miao, Tie-Zheng Nie, D. Yue, Tiancheng Zhang, Jin-Shen Liu

WAIM Workshops

DOI

2011

Research and implementation of an RFID object tracking system simulation platform

Qiushi Bai, Tiancheng Zhang, Yifang Yin, Ge Yu

Chinese Control and Decision Conference

DOI

2011

A novel approach for mining multiple data streams based on lag correlation

Tiancheng Zhang, D. Yue, Yanqiu Wang, Ge Yu

Chinese Control and Decision Conference

DOI

2011

Efficient Keyword Search for SLCA in Parallel XML Databases

D. Yue, Ge Yu, Jin-Shen Liu, Tiancheng Zhang, Tie-Zheng Nie, Fang-Fan Li

2011 Eighth Web Information Systems and Applications Conference

DOI

2011

A Method for Reverse k -Nearest-Neighbor Queries in Obstructed Spaces: A Method for Reverse k -Nearest-Neighbor Queries in Obstructed Spaces

Xiao-Nan Yu, Yu Gu, Tiancheng Zhang, Ge Yu

DOI

2010

Efficient Similarity Query in RFID Trajectory Databases

Yanqiu Wang, Ge Yu, Yu Gu, D. Yue, Tiancheng Zhang

Interational Conference on Web-Age Information Management

DOI

2009

Effective Similarity Analysis over Event Streams Based on Sharing Extent

Yanqiu Wang, Ge Yu, Tiancheng Zhang, D. Yue, Yu Gu, Xiaolong Hu

APWeb/WAIM

DOI

2009

Research on Event Prediction Algorithm Based on Event Sequence Semantic

Chuan-Fei Xu, Shukuan Lin, Jianzhong Qiao, Ge Yu, Tiancheng Zhang

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery

DOI

2009

Adaptive correlation analysis in stream time series with sliding windows

Tiancheng Zhang, D. Yue, Yu Gu, Yi Wang, Ge Yu

Computers and Mathematics with Applications

DOI

2008

A Real-Time Event Stream Processing System for RFID Monitoring Applications

Ge Yu, Yu Gu, Tiancheng Zhang, Shukuan Lin

2007

Boolean representation based data-adaptive correlation analysis over time series streams

Tiancheng Zhang, D. Yue, Yu Gu, Ge Yu

International Conference on Information and Knowledge Management

DOI

2007

RFID complex event processing techniques

Tiancheng Zhang

2007

Lag correlation analysis based on Boolean presentation over multiple data streams

D. Yue, Tiancheng Zhang, Ge Yu, Yu Gu

DOI

2007

Correlation Analysis Based on Hierarchical Boolean Representation over Time Series Data Streams

Tiancheng Zhang, D. Yue, Ge Yu, Yu Gu

International Conference on Fuzzy Systems and Knowledge Discovery

DOI

精选作品

期刊论文

机器阅读理解研究综述

音频驱动的跨模态交互技术综述

HGC-FKT:异构反事实图增强的公平知识追踪模型

CLEAR: A Knowledge-Centric Vessel Trajectory Analysis Platform

MeLoRA : Probability measures-based low-rank adaptation with Gaussian variational inference

VISTA: Knowledge-Driven Vessel Trajectory Imputation with Repair Provenance

Calibrating distributions, not just networks: The PR-Q method for low-bit quantization

DPC-Net: A Decouple-Predict-Correct Framework for Long-Term Time Series Forecasting

MEGRAG: Multi-Granular Evidence Graphs for Answer-Aware Multi-Hop RAG

Leveraging LLM and Multiscale Knowledge States to Improve Knowledge Tracing in Programming Tasks

S²KT:Modeling Uncertainty in Knowledge Tracing via Semantic-aware Structured Gaussian Distributions

Low-Rank Guided Attention with Wavelet Augmentation for Sequential Recommendation

LACEREC: Controllable Sequential Recommendation with Weak-Signal Enhancement

TQR : Modelling user temporal preference for effective question routing

基于对比学习的数学应用题求解方法研究

基于双仿射模型与指针网络联合建模的知识图谱问答模型

LW-YOLOv7SAR:轻量SAR图像目标检测方法

Leveraging Student Profiles and the Mamba Framework to Enhance Knowledge Tracing

Priority Guided Explanation for Knowledge Tracing with Dual Ranking and Similarity Consistency

Fetan: Enhancing Few-Shot Classification on Text-Attributed Graphs with In-Context Learning of LLMs

A Survey of Static and Temporal Explainable Methods and Their Applications in Knowledge Tracing

CoSrch: Syntactic and Semantic Structure-Aware Code Representation for Effective Code Search

HG-SCC: A Subgraph-Aware Convolutional Few-Shot Classification Method on Heterogeneous Graphs

RAG-KT: Retrieval Augmented Generation Based Difficulty Estimation for Knowledge Tracing

A probabilistic optimizer for binary neural networks

Advancing Knowledge Tracing by Exploring Follow-up Performance Trends

An LLM Augmentation and Multitask Learning Based Recommendation Model for MOOCs

DABC: A Named Entity Recognition Method Incorporating Attention Mechanisms

A Semi-Supervised Active Learning Method for Structured Data Enhancement with Small Samples

A Data-Driven Learning Interest Topic Tracking Method

FSM-BC-BSP: Frequent Subgraph Mining Algorithm Based on BC-BSP

Parallel Prediction Method of Knowledge Proficiency Based on Bloom’s Cognitive Theory

Enhancing Dropout Prediction in Distributed Educational Data Using Learning Pattern Awareness: A Federated Learning Approach

Interpreting Deep Graph Convolutional Networks with Spectrum Perspective

A probabilistic generative model for tracking multi-knowledge concept mastery probability

Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations

A sampling method based on forecasting and combinatorial optimization for high performance A/B testing

MG-CR: Factor Memory Network and Graph Neural Network Based Personalized Course Recommendation

Event-Based Probabilistic Embedding for POI Recommendation

BEM-SM: A BERT-Encoder Model with Symmetry Supervision Module for Solving Math Word Problem

An Extensible Heterogeneous Network Embedding Framework for Knowledge Tracing

MAKT: A Knowledge Tracing Model Based on Meta Path and Attention Mechanism

New development of cognitive diagnosis models

Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima

ContextKT: A Context-Based Method for Knowledge Tracing

Semantic enhanced Top-k similarity search on weighted HIN

Tracking Knowledge Structures and Proficiencies of Students With Learning Transfer

Graph-Encoder and Multi-decoders Solution Framework with Multi-attention

Semantic Enhanced Top-k Similarity Search on Heterogeneous Information Networks

A Dropout Prediction Framework Combined with Ensemble Feature Selection

A review of knowledge tracking

An ELM-Based Ensemble Strategy for POI Recommendation

Road network generation from low frequency GPS trajectory data

A Strategy of Inferring Containment Relationship Based on Multiple Readers' Three-State Model

A Friend Recommendation Algorithm Based on Multiple Factors in LBSNs

Energy-Efficient and Smoothing-Sensitive Curve Recovery of Sensing Physical World

A Heterogeneous Multi-Source Multi-Mode Sensory Data Acquisition Method Based on Data Quality: A Heterogeneous Multi-Source Multi-Mode Sensory Data Acquisition Method Based on Data Quality

Research and Implementation of an RFID Simulation System Supporting Trajectory Analysis

Study of an RFID Based Object-Relationship Recognition System

A Simulation Platform for RFID Application Deployment Supporting Multiple Scenarios

Algebra for Parallel XQuery Processing

Research and implementation of an RFID object tracking system simulation platform

A novel approach for mining multiple data streams based on lag correlation

Efficient Keyword Search for SLCA in Parallel XML Databases

A Method for Reverse k -Nearest-Neighbor Queries in Obstructed Spaces: A Method for Reverse k -Nearest-Neighbor Queries in Obstructed Spaces

Efficient Similarity Query in RFID Trajectory Databases

Effective Similarity Analysis over Event Streams Based on Sharing Extent

Research on Event Prediction Algorithm Based on Event Sequence Semantic

Adaptive correlation analysis in stream time series with sliding windows

A Real-Time Event Stream Processing System for RFID Monitoring Applications

Boolean representation based data-adaptive correlation analysis over time series streams

RFID complex event processing techniques

Lag correlation analysis based on Boolean presentation over multiple data streams

Correlation Analysis Based on Hierarchical Boolean Representation over Time Series Data Streams

会议论文

The Research on Classification of Small Sample Data Set Image Based on Convolutional Neural Network

Research and Implementation of Campus Network Search Engine Based on Scrapy Framework and Elasticsearch

Design and implementation of teaching analysis system based on data mining