Qi Zhang

Orcid: 0000-0002-1037-1361

Affiliations:
  • University of Technology Sydney, Australia
  • Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China


According to our database1, Qi Zhang authored at least 33 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
MSynFD: Multi-hop Syntax aware Fake News Detection.
CoRR, 2024

2023
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.
Soc. Netw. Anal. Min., December, 2023

Modeling User Demand Evolution for Next-Basket Prediction.
IEEE Trans. Knowl. Data Eng., November, 2023

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.
Neurocomputing, November, 2023

PFEMed: Few-shot medical image classification using prior guided feature enhancement.
Pattern Recognit., 2023

Process Knowledge-infused Learning for Clinician-friendly Explanations.
CoRR, 2023

Causal Intervention for Abstractive Related Work Generation.
CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.
CoRR, 2023

Neural Time Series Analysis with Fourier Transform: A Survey.
CoRR, 2023

Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective.
CoRR, 2023

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.
Proceedings of the ACM Web Conference 2023, 2023


MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Syntax Tree Constrained Graph Network for Visual Question Answering.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Causal Intervention for Abstractive Related Work Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings.
IEEE Trans. Neural Networks Learn. Syst., 2022

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting.
CoRR, 2022

Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
CoRR, 2022

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning.
CoRR, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Hierarchical Social Similarity-guided Model with Dual-mode Attention for session-based recommendation.
Knowl. Based Syst., 2021

Context-aware item attraction model for session-based recommendation.
Expert Syst. Appl., 2021

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Mix2Vec: Unsupervised Mixed Data Representation.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering.
IEEE Trans. Knowl. Data Eng., 2019

2016
Case-Based Classification on Hierarchical Structure of Formal Concept Analysis.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016


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