Qi Zhang's Homepage
Recommender Systems, Case-Based Reasoning, Learning to Hash, Time-Series Forecasting
Dr. Qi Zhang
Dr. Qi Zhang received his first Ph.D. from the Beijing Institute of Technology, Beijing, China in 2020, and his second Ph.D. from the University of Technology Sydney, Sydney, NSW, Australia, in 2023. He has authored more than 30 high-quality papers in premier conferences and journals, including NeurIPS, AAAI, IJCAI, WWW, SIGIR, ICDM, ECAI, DSAA, TKDE, TOIS, TNNLS, ESWA, and Pattern Recognition et al. His primary research interests include multimodal learning, time series analysis, frequency neural networks in various tasks such as recommender systems, fake news detection, mental health analysis, and neuroscience analysis.
News
[Apr 18, 2024] Two papers "HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis" and "Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting" have been accepted by IJCAI 2024.
[Mar 28, 2024] On paper "Temporal Conditional VAE for Distributional Drift Adaptation in Multivariate Time Series" has been accepted by TNNLS.
[Mar 22, 2024] One paper "Deep Coupling Network For Multivariate Time Series Forecasting" has been accepted by TOIS.
[Jan 23, 2023] One paper "MSynFD: Multi-hop Syntax aware Fake News Detection" has been accepted by WWW2024 (Main Track).
[Dec 8, 2023] One paper "Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector" has been accepted by AAAI 2024.
[Nov 9, 2023] One paper "Incorporating Historical lnformation by Disentangling Hidden Representations for Mental Health Surveillance on Social Media" has been accepted by Social Network Analysis and Mining.
[Oct 8, 2023] Two papers "Causal Intervention for Abstractive Related Work Generation" and "Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference" have been accepted by EMNLP 2023 (Findings).
[Oct 1, 2023] One paper "Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective" has been accepted by TKDE.
[Sep 22, 2023] Tree papers "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective", "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting", and "Simple but Effective: A Multi-Granularity strategy for Compressing Vision Transformer" have been accepted by NeurIPS 2023.
[Sep 3, 2023] Two short papers "Session-based Interactive Recommendation via Deep Reinforcement Learning" and "PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph" have been accepted by ICDM 2023.
[Aug 15, 2023] One paper "Syntax Tree Constrained Graph Network for Visual Question Answering" has been accepted by ICONIP 2023, and another paper "Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting" has been accepted by Neurocomputing.
[May 1, 2023] One paper "Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees" has been accepted by TNNLS.
[Apr 4, 2023] One paper "MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation" has been accepted by SIGIR'23.
[Mar 14, 2023] We organize the workshop "Advanced Neural Algorithms and Theories for Recommender Systems (NeuRec) " with ICDM 2023.
[Jan 25, 2023] One paper "Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System" has been accepted by WWW'23.
[Dec 17, 2022] One paper "Modeling User Demand Evolution for Next-basket Prediction" has been accepted by TKDE.
[Dec 16, 2022] Our tutorial "Lifelong Learning Cross-domain Recommender Systems" has been accepted by WWW 2023.
[Nov 19, 2022] Two papers have been accepted by AAAI 2023.
[Oct 10, 2022] One journal paper has been accepted by Pattern Recognition.
[June 16, 2022] One paper (26% accept rate) has been accepted by ECML-PKDD 2022.
[April 21, 2022] One paper (15 % accept rate) has been accepted by IJCAI 2022.
[April 15, 2022] Our tutorial "Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities" has been accepted by SIGIR 2022.
[April 5, 2022] We organize the workshop "Advanced Neural Algorithms and Theories for Recommender Systems (NeuRec) " with ICDM 2022.
[April 1, 2022] Serve as a PC co-chair of the workshop "Data Science and Artificial Intelligence for Responsible Recommendations" with KDD 2022, due on May 26, 2022. [DS4RRS]
[March 29, 2022] We organize a special session about Data Science and Artificial Intelligence Enabled Trustworthy Recommendations on DSAA 2022. [TrusRec]
[December 2, 2021] One paper (15% accept rate) has been accepted by AAAI 2022.
[Augest 15, 2021] One paper has been accepted by KBS
[April 29, 2021] We organize a workshop on ICDM 2021. [NeuRec]
[March 30, 2021] One paper has been accepted by ESWA.
[March 12, 2021] One paper has been accepted by TNNLS.
[December 2, 2020] One paper (21% accept rate) has been accepted by AAAI 2021 for oral presentation.