2024
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings.
ACM Trans. Intell. Syst. Technol., October, 2024
Bi-Discriminator Domain Adversarial Neural Networks With Class-Level Gradient Alignment.
IEEE Trans. Syst. Man Cybern. Syst., September, 2024
Global and local neural cognitive modeling for student performance prediction.
Expert Syst. Appl., March, 2024
A Diffusion-Based Cognitive Diagnosis Framework for Robust Learner Assessment.
IEEE Trans. Learn. Technol., 2024
A Survey of Knowledge Tracing: Models, Variants, and Applications.
IEEE Trans. Learn. Technol., 2024
Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System.
Expert Syst. Appl., 2024
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning.
Expert Syst. Appl., 2024
What Makes In-context Learning Effective for Mathematical Reasoning: A Theoretical Analysis.
CoRR, 2024
A Flexible Plug-and-Play Module for Generating Variable-Length.
CoRR, 2024
End-to-End Graph Flattening Method for Large Language Models.
CoRR, 2024
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.
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CoRR, 2024
EduNLP: Towards a Unified and Modularized Library for Educational Resources.
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CoRR, 2024
Can LLMs Solve longer Math Word Problems Better?
CoRR, 2024
Survey of Computerized Adaptive Testing: A Machine Learning Perspective.
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CoRR, 2024
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
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CoRR, 2024
Understanding and improving fairness in cognitive diagnosis.
Sci. China Inf. Sci., 2024
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.
Proceedings of the ACM on Web Conference 2024, 2024
Unified Uncertainty Estimation for Cognitive Diagnosis Models.
Proceedings of the ACM on Web Conference 2024, 2024
A Knowledge-Injected Curriculum Pretraining Framework for Question Answering.
Proceedings of the ACM on Web Conference 2024, 2024
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.
Proceedings of the ACM on Web Conference 2024, 2024
Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing.
Proceedings of the ACM on Web Conference 2024, 2024
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Graph-based Student Knowledge Profile for Online Intelligent Education.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Computerized Adaptive Testing via Collaborative Ranking.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Item-Difficulty-Aware Learning Path Recommendation: From a Real Walking Perspective.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Towards Explainable Computerized Adaptive Testing with Large Language Model.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective.
Proceedings of the Database Systems for Advanced Applications, 2024
Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.
Proceedings of the Database Systems for Advanced Applications, 2024
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
Proceedings of the Database Systems for Advanced Applications, 2024
Enhancing the Completeness of Rationales for Multi-Step Question Answering.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024
RePair: Automated Program Repair with Process-based Feedback.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems.
J. Comput. Sci. Technol., December, 2023
TechPat: Technical Phrase Extraction for Patent Mining.
ACM Trans. Knowl. Discov. Data, November, 2023
An Efficient and Robust Semantic Hashing Framework for Similar Text Search.
ACM Trans. Inf. Syst., October, 2023
Model Inversion Attacks Against Graph Neural Networks.
IEEE Trans. Knowl. Data Eng., September, 2023
HmcNet: A General Approach for Hierarchical Multi-Label Classification.
IEEE Trans. Knowl. Data Eng., September, 2023
HMNet: a hierarchical multi-modal network for educational video concept prediction.
Int. J. Mach. Learn. Cybern., September, 2023
NeuralCD: A General Framework for Cognitive Diagnosis.
IEEE Trans. Knowl. Data Eng., August, 2023
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing.
IEEE Trans. Knowl. Data Eng., August, 2023
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective.
IEEE Trans. Learn. Technol., June, 2023
Federated User Modeling from Hierarchical Information.
ACM Trans. Inf. Syst., April, 2023
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation.
ACM Trans. Inf. Syst., April, 2023
A generalized multi-skill aggregation method for cognitive diagnosis.
World Wide Web (WWW), March, 2023
Decoupled Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng., March, 2023
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data, 2023
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance.
CoRR, 2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.
CoRR, 2023
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.
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CoRR, 2023
Quiz-based Knowledge Tracing.
CoRR, 2023
A Novel Approach for Auto-Formulation of Optimization Problems.
CoRR, 2023
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.
Proceedings of the ACM Web Conference 2023, 2023
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction.
Proceedings of the ACM Web Conference 2023, 2023
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Learning from Crowds with Annotation Reliability.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
A Bounded Ability Estimation for Computerized Adaptive Testing.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Behavior-oriented Knowledge Tracing.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Exploiting Non-Interactive Exercises in Cognitive Diagnosis.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Interventional Rationalization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.
Proceedings of the Database Systems for Advanced Applications, 2023
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Enhancing Hierarchical Text Classification through Knowledge Graph Integration.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst., 2022
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Graph-based cognitive diagnosis for intelligent tutoring systems.
Knowl. Based Syst., 2022
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm.
J. Comput. Sci. Technol., 2022
Clause-level Relationship-aware Math Word Problems Solver.
Int. J. Autom. Comput., 2022
AdaptKT: A Domain Adaptable Method for Knowledge Tracing.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Incremental Cognitive Diagnosis for Intelligent Education.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing.
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers.
Proceedings of the IEEE International Conference on Data Mining, 2022
Dynamic Clustering Federated Learning for Non-IID Data.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022
Dependency and Association Enhanced Finding Similar Exercises in Online Education System.
Proceedings of the 8th IEEE International Conference on Cloud Computing and Intelligent Systems, 2022
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction.
IEEE Trans. Knowl. Data Eng., 2021
A Survey of Knowledge Tracing.
CoRR, 2021
Hierarchical Personalized Federated Learning for User Modeling.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Federated Deep Knowledge Tracing.
Proceedings of the WSDM '21, 2021
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Learning Process-consistent Knowledge Tracing.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
DisenQNet: Disentangled Representation Learning for Educational Questions.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
GraphMI: Extracting Private Graph Data from Graph Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Preference-Adaptive Meta-Learning for Cold-Start Recommendation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Item Response Ranking for Cognitive Diagnosis.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Guided Attention Network for Concept Extraction.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.
Proceedings of the IEEE International Conference on Data Mining, 2021
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction.
Proceedings of the IEEE International Conference on Data Mining, 2021
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.
Proceedings of the 7th IEEE International Conference on Cloud Computing and Intelligent Systems, 2021
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students.
ACM Trans. Inf. Syst., 2020
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Neural Mathematical Solver with Enhanced Formula Structure.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Fine-Grained Similarity Measurement between Educational Videos and Exercises.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Structure-based Knowledge Tracing: An Influence Propagation View.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Technical Phrase Extraction for Patent Mining: A Multi-level Approach.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020
Predicting Human Mobility with Self-attention and Feature Interaction.
Proceedings of the Web and Big Data - 4th International Joint Conference, 2020
Neural Cognitive Diagnosis for Intelligent Education Systems.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
A Variational Point Process Model for Social Event Sequences.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Learning to Order Sub-questions for Complex Question Answering.
CoRR, 2019
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems.
CoRR, 2019
QuesNet: A Unified Representation for Heterogeneous Test Questions.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Exploring Multi-Objective Exercise Recommendations in Online Education Systems.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Transcribing Content from Structural Images with Spotlight Mechanism.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Finding Similar Exercises in Online Education Systems.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
Proceedings of the Database Systems for Advanced Applications, 2018
Confidence-Aware Matrix Factorization for Recommender Systems.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Tracking Knowledge Proficiency of Students with Educational Priors.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Question Difficulty Prediction for READING Problems in Standard Tests.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016