Publications
Conferences
Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu, HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis, IJCAI 2024.
Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An, Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting, IJCAI 2024.
Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu, MSynFD: Multi-hop Syntax aware Fake News Detection, TheWebConf 2024.
An Lao, Qi Zhang, Chongyang Shi1, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao, Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024.
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim, MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation, SIGIR 2023.
Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, PengyangWang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu, Frequency-domain MLPs are More Effective Learners in Time Series Forecasting, NeurIPS 2023.
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, PengyangWang, Ning An, Longbing Cao, Zhendong Niu, FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective, NeurIPS 2023.
Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu, MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers, NeurIPS 2023.
Xiangrui Su*, Qi Zhang*, Chongyang Shi, Jiachang Liu, Liang Hu, Syntax Tree Constrained Graph Network for Visual Question Answering, ICONIP 2023.
Longxiang Shi, Zilin Zhang, Shoujin Wang, Qi Zhang, Minghui Wu, Cheng Yang, Shijian Li, Session-based Interactive Recommendation via Deep Reinforcement Learning, ICDM 2023.
Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao, PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph, ICDM 2023.
Jiachang Liu∗, Qi Zhang∗, Chongyang Shi, Usman Naseem, ShoujinWang, Liang Hu, Ivor W. Tsang, Causal Intervention for Abstractive Related Work Generation, EMNLP 2023.
Chongyang Shi, Yijun Yin, Qi Zhang†, Liang Xiao, Usman Naseem, ShoujinWang, Liang Hu, Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference, EMNLP 2023.
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim, Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications, Proceedings of the 5th Clinical Natural Language Processing Workshop, ACL 2023.
Usman Naseem, Urendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim, MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation, SIGIR 2023.
Liang Hu, Shoujin Wang, Qi Zhang, Usman Naseem, Lifelong Learning Cross-domain Recommender Systems, WWW 2023.
Tangwei Ye, Liang Hu, Qi Zhang, Usman Naseem, Zhongyuan Lai, Dora Liu. Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System, WWW 2023.
Liang Hu, Dora Liu, Qi Zhang†, Tangwei Ye, Usman Naseem, Zhongyuan Lai. A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-efficiency Dynamic Target Intercept, AAAI 2023.
Dora Liu, Liang Hu, Qi Zhang†, Usman Naseem, Zhongyuan Lai, Self-supervised Learning Temporal Causalities behind Human Actions for Multilevel Skeleton Forgery Detection, AAAI 2023.
Xinyu Jiang*, Qi Zhang*, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang. An Ion-Exchange Mechanism Inspired Story Ending Generator for Different Characters. ECML-PKDD 2022.
Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal. Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. SIGIR 2022.
Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, D. Dora D. Liu.A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI, 2022.
Xinyu Jiang, Qi Zhang, Chongyang Shi. Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis. IJCNN, 2022.
Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu. CATN: Cross Attentive Tree-Aware Network For Multivariate Time Series Forecasting, In Proceedings of the 36nd AAAI Conference on Artificial Intelligence, 2022.
Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu. Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data, In Proceedings of the 35nd AAAI Conference on Artificial Intelligence, 2021. [pdf]
Qi Zhang*, Chengzhang Zhu*, Longbing Cao, Arman Abrahamyan. Mix2Vec: Unsupervised Mixed Data Representation, in 2020 IEEE 7th International Conference on Data Science and Advanced Analytics, Sydney, NSW, Australia, 2020, pp. 118-127. [pdf]
Qi Zhang, Chongyang Shi, Ping Sun, and Zhengdong Niu. Case-based classification on hierarchical structure of formal concept analysis. In Proceedings of the Twenty-second European Conference on Artificial Intelligence. IOS Press, NLD, 1758–1759. [pdf]
Journals
Yi Kun, Qi Zhang†, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu, Deep Coupling Network For Multivariate Time Series Forecasting, ACM Transactions on Information Systems, 2024.
Hui He, Qi Zhang†, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao, Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective, IEEE Transactions on Knowledge and Data Engineering, 2024.
Hui He, Qi Zhang†, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao, Temporal Conditional VAE for Distributional Drift Adaptation in Multivariate Time Series, IEEE Transactions on Neural Networks and Learning Systems, 2024.
Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu, Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting, Neurocomputing 2023.
Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim, Incorporating historical information by disentangling hidden representations for mental health surveillance on social media, Social Network Analysis and Mining, 2023.
Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem. Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees, in IEEE Transactions on Neural Networks and Learning Systems, 2023. [pdf]
Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian. Modeling User Demand Evolution for Next-basket Prediction, IEEE Transactions on Knowledge and Data Engineering, 2023. [pdf]
Zhiyong Dai, Jianjun Yi, Lei Yan, Qingwen Xu, Liang Hu, Qi Zhang†, Jiahui Li, Guoqiang Wang. PFEMed: Few-shot medical image classification using prior guided feature enhancement, Pattern Recognition. [pdf]
Qi Zhang, Longbing Cao, Chongyang Shi and Zhendong Niu. Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings, in IEEE Transactions on Neural Networks and Learning Systems. [pdf]
Chaoqun Feng, Chongyang Shi, Shufeng Hao, Qi Zhang, Xinyu Jiang, Daohua Yu. Hierarchical Social Similarity-guided Model with Dual-mode Attention for Session-based Recommendation, Knowledge-Based Systems, Volume 176, 2021, 114834, ISSN 0957-4174. [pdf]
Chaoqun Feng, Chongyang Shi, Chuanming Liu, Qi Zhang, Shufeng Hao, Xinyu Jiang. Context-aware item attraction model for session-based recommendation, Expert Systems with Applications, Volume 176, 2021, 114834, ISSN 0957-4174. [pdf]
Qi Zhang, C. Shi, Z. Niu and L. Cao, "HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering," in IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 1, pp. 152-165, 1 Jan. 2019. [pdf]