纪天昀，张征，赵宇泽，黄振亚，黄威，佟威，刘淇，陈恩红

《大数据》

2025

Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, D. Y. Wang, Jiansong Chen, Wan Guanglu, Xunliang Cai, Zhi Zheng, Xu Tong

DOI

2025

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness

Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Wei Zhou, Longfei Li

Lecture notes in computer science

DOI

2025

CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval

Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu

DOI

2025

MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality

Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen

DOI

2025

Adaptive Preference Optimization with Uncertainty-aware Utility Anchor

Xiaobo Wang, Zixia Jia, Jiaqi Li, Qi Liu, Zilong Zheng

DOI

2025

Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang

DOI

2025

Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences

Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen

DOI

2025

Empowering Federated Graph Rationale Learning with Latent Environments

Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du

DOI

2025

Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian

DOI

2025

World Wide Web

DOI

2024

ERDL: Efficient Retrieval Framework Based on Distillation from Large Language Models

Heng Yu, Rui Li, Zheng Zhang, Shengyu Ye, Qi Liu, Zhenya Huang, Enhong Chen

DOI

2024

DOI

2024

Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models

Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen

Lecture notes in computer science

DOI

2024

OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting

Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen

Conference on Empirical Methods in Natural Language Processing (EMNLP)

DOI

2024

Yan Zhuang, Qi Liu, Z. Pardos, P. Kyllonen, Ji-Yun Zu, Zhen-Ya Huang, Shi-Jin Wang, En-Hong Chen

International Conference on Machine Learning

2023

Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing

Shuanghong Shen, En-Hong Chen, Qi Liu, Zhen-Ya Huang, Wei Huang, Yu Yin, Yu Su, Shi-Jin Wang

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

NeuralCD: A General Framework for Cognitive Diagnosis

Fei Wang, Qi Liu, En-Hong Chen, Zhen-Ya Huang, Yu Yin, Shi-Jin Wang, Yu Su

IEEE Transactions on Knowledge and Data Engineering

DOI

2023

HMNet: a hierarchical multi-modal network for educational video concept prediction

Wei Huang, Tong Xiao, Qi Liu, Zhen-Ya Huang, Jianhui Ma, En-Hong Chen

International Journal of Machine Learning and Cybernetics

DOI

2023

Exploiting Non-Interactive Exercises in Cognitive Diagnosis

Fangzhou Yao, Qi Liu, Min Hou, Shi-Wei Tong, Zhen-Ya Huang, En-Hong Chen, Jing Sha, Shi-Jin Wang

International Joint Conference on Artificial Intelligence

DOI

2023

Communications in computer and information science

DOI

2022

面向学科题目的文本分析方法与应用研究综述

黄振亚，刘淇，陈恩红，林鑫，何理扬，刘嘉聿，王士进

《中文信息学报》

2022

陈恩红，刘淇，王士进，黄振亚，苏喻，丁鹏，马建辉，竺博

《智能系统学报》

2021

图像信息对句子语义理解与表示的有效性验证与分析

张琨，吕广奕，吴乐，刘淇，陈恩红

《计算机学报》

2021

An Improved Bi-LSTM Model for Entity Extraction of Intellectual Property Using Complex Graph

Youning Wang, Qi Liu, Yang Wang

2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys)

DOI

2021

Graph Intervention Networks for Causal Effect Estimation

Jean Kaddour, Qi Liu, Yuchen Zhu, Matt J. Kusner, Ricardo Silva

arXiv.org

2021

DOI

2021

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation

Sanshi Lei Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi

DOI

2021

Preference-Adaptive Meta-Learning for Cold-Start Recommendation

Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen

DOI

2021

Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu

DOI

2021

Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition

Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen, Jianhui Ma

Lecture notes in computer science

DOI

2021

Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System

Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su

IEEE International Conference on Big Knowledge (ICBK)

DOI

2021

Color Enhanced Cross Correlation Net for Image Sentiment Analysis

Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen

IEEE Transactions on Multimedia

DOI

2021

LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching

Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang

李梦莹，王晓东，阮书岚，张琨，刘淇

《计算机研究与发展》

2020

Defu Lian, Qi Liu, Enhong Chen

DOI

2020

Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process

Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang

International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)

DOI

2019

基于深度神经网络结构的互联网金融市场动态预测

赵洪科，吴李康，李徵，张兮，刘淇，陈恩红

《计算机研究与发展》

2019

实值优化问题的非对称负相关搜索算法

于润龙，赵洪科，汪中，叶雨扬，张培宁，刘淇，陈恩红

《计算机研究与发展》

2019

数据驱动的数学试题难度预测

佟威，汪飞，刘淇，陈恩红

《计算机研究与发展》

2019

杜东舫，徐童，鲁亚男，管楚，刘淇，陈恩红

《软件学报》

2018

面向大规模认知诊断的DINA模型快速计算方法研究

王超，刘淇，陈恩红，黄振亚，朱天宇，苏喻，胡国平

《电子学报》

2018

基于试题网络的个性化学习推荐系统研究

刘淇，丁鹏，黄小青，董晶晶

《现代教育技术》，Vol. 28, No. 6

下载原文

2018

DOI

2017

Exploring the Emerging Type of Comment for Online Videos

Ming Xuan He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang

ACM Transactions on the Web

DOI

2016

Li Zhang, Keli Xiao, Qi Liu, Yefan Tao, Yuefan Deng

Proceedings

DOI

2015

Cognitive modelling for predicting examinee performance

Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu

International Conference on Artificial Intelligence

2015

Jing Wang, Lei Zhang, Guiquan Liu, Qi Liu, Enhong Chen

International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

DOI

2014

刘淇，陈恩红

《小型微型计算机系统》

2010

Exploiting user interests for collaborative filtering

Qi Liu, Enhong Chen, Hui Yun Xiong, Chris H. Q. Ding

ACM International Conference on Information and Knowledge Management (CIKM)

DOI

精选作品

期刊论文

基于降噪排序学习的无监督语句高效嵌入方法

基于大语言模型的知识图谱补全轻量级混合重排序框架

2T-Agent:生成式智能体驱动的类教师思维认知诊断框架

Agent4Stu:基于大语言模型的学生作答行为高效模拟智能体

CoRas: Cooperative Rationale Selection for Graph Rationale Learning in Out-of-Distribution Graphs

Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning

A Comprehensive Survey of Time Series Forecasting: Concepts, Challenges, and Future Directions

CBEGRec: Learning Path Recommendation via Concept Bundling and Exercise Generation

Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?

EduYOLO: A classroom behavior recognition framework based on high-resolution feature attention fusion

GLP-Fusion: A Hierarchical Multimodal Fusion Framework for Robust Student Engagement Prediction

基于知识增强大语言模型的历史学科试题生成系统

智能教育中的大模型智能体：基础、模式和挑战

GenAL: Generative Agent for Adaptive Learning

Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship

WDMIR: Wavelet-Driven Multimodal Intent Recognition

Enhancing Mathematical Reasoning Through Autonomously Learning Knowledge

Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs

SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation

A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling

Plug-and-play fine grained neural cognitive diagnosis framework

CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models

Knowledge-Centered Dual-Process Reasoning for Math Word Problems With Large Language Models

DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing

Editorial High-Performance Recommender Systems Based on Spatiotemporal Data

SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling

AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models

Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness

CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval

MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality

Adaptive Preference Optimization with Uncertainty-aware Utility Anchor

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling

GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification

Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study

TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models

MiMu: mitigating multiple shortcut learning behavior of transformers

CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework

Advancements in Digital Humans for Recorded Courses: Enhancing Learning Experiences via Personalized Interaction

Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis

Tracking Knowledge State Transitions in Cognitive Diagnosis for an Exercise-Exam Learning Model

HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis

Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences

Empowering Federated Graph Rationale Learning with Latent Environments

BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling

Harnessing code domain insights: Enhancing programming Knowledge Tracing with Large Language Models

Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor

MGS3: A Multi-Granularity Self-Supervised Code Search Framework

Cross-Domain Pre-training with Language Models for Transferable Time Series Representations

Enhancing Code Search Intent with Programming Context Exploration

LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing

Examination Process Modeling for Intelligent Patent Management: A Multi-aspect Neural Sequential Approach

Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction

Evaluation of Retrieval-Augmented Generation: A Survey

Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective

Think and Recall: Layer-Level Prompting for Lifelong Model Editing

Learning Recommender Systems with Soft Target: A Decoupled Perspective

面向序列诊断的强化计算机自适应测验方法

A Survey of Knowledge Tracing: Models, Variants, and Applications

A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction

π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework

Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction

A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives

A survey on large language models for recommendation

ERDL: Efficient Retrieval Framework Based on Distillation from Large Language Models

SISK: Integrating Aspect-oriented Semantic Information and Syntactic Knowledge for Aspect-based Sentiment Analysis

Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis

Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis

Graph-based Student Knowledge Profile for Online Intelligent Education

One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network

Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information

HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis

Enhancing the Completeness of Rationales for Multi-Step Question Answering