Qi Zhang

According to our database, Qi Zhang authored at least 64 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Junaid Rashid, Mehwish Nasim

Soc. Netw. Anal. Min., December, 2024

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees.

Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Deep Coupling Network for Multivariate Time Series Forecasting.

Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu

ACM Trans. Inf. Syst., September, 2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.

Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao

IEEE Trans. Knowl. Data Eng., June, 2024

Learning adaptive shift and task decoupling for discriminative one-step person search.

Qixian Zhang, Duoqian Miao, Qi Zhang, Changwei Wang, Yanping Li, Hongyun Zhang, Cairong Zhao

Knowl. Based Syst., 2024

Attentive multi-granularity perception network for person search.

Qixian Zhang, Jun Wu, Duoqian Miao, Cairong Zhao, Qi Zhang

Inf. Sci., 2024

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Shoujin Wang, Junaid Rashid, Liang Hu, Amir Hussain

Neurocomputing, 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.

Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang

CoRR, 2024

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks.

Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao

CoRR, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.

Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao

CoRR, 2024

CoSD: Collaborative Stance Detection with Contrastive Heterogeneous Topic Graph Learning.

Yinghan Cheng, Qi Zhang, Chongyang Shi, Liang Xiao, Shufeng Hao, Liang Hu

CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.

Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

CoRR, 2024

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.

Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu, Duoqian Miao

CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.

Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal

CoRR, 2024

DE³-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks.

Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao

CoRR, 2024

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.

Zhangkai Wu, Longbing Cao, Qi Zhang, Junxian Zhou, Hui Chen

CoRR, 2024

MSynFD: Multi-hop Syntax Aware Fake News Detection.

Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu

Proceedings of the ACM on Web Conference 2024, 2024

SFformer: Adaptive Sparse and Frequency-Guided Transformer Network for Single Image Derain.

Xinrui Wang, Hongyun Zhang, Kecan Cai, Duoqian Miao, Qi Zhang, Miao Li

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Lite-Mind: Towards Efficient and Robust Brain Representation Learning.

Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Yu Zhang, Ke Liu, Liang Hu, Duoqian Miao

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection.

Shouyu Chen, Liang Hu, Tangwei Ye, Zhongyuan Lai, Qi Zhang, Ke Liu, Usman Naseem, Ke Sun, Nengjun Zhu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Reinforced Subject-Aware Graph Neural Network for Related Work Generation.

Luyao Yu, Qi Zhang, Chongyang Shi, An Lao, Liang Xiao

Proceedings of the Knowledge Science, Engineering and Management, 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.

Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.

Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.

Hao Yu, Bo Shen, Dezhi Ran, Jiaxin Zhang, Qi Zhang, Yuchi Ma, Guangtai Liang, Ying Li, Qianxiang Wang, Tao Xie

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.

Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.

Jinzhi Shan, Qi Zhang, Chongyang Shi, Mengting Gui, Shoujin Wang, Usman Naseem

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.

An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Modeling User Demand Evolution for Next-Basket Prediction.

Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian

IEEE Trans. Knowl. Data Eng., November, 2023

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting.

Simeng Bai, Qi Zhang, Hui He, Liang Hu, Shoujin Wang, Zhendong Niu

Neurocomputing, November, 2023

PFEMed: Few-shot medical image classification using prior guided feature enhancement.

Zhiyong Dai, Jianjun Yi, Lei Yan, Qingwen Xu, Liang Hu, Qi Zhang, Jiahui Li, Guoqiang Wang

Pattern Recognit., 2023

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.

Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu

CoRR, 2023

Lite-Mind: Towards Efficient and Versatile Brain Representation Network.

Zixuan Gong, Qi Zhang, Duoqian Miao, Guangyin Bao, Liang Hu

CoRR, 2023

Process Knowledge-infused Learning for Clinician-friendly Explanations.

Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth

CoRR, 2023

Causal Intervention for Abstractive Related Work Generation.

Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Ivor W. Tsang

CoRR, 2023

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees.

Qi Zhang, Yayi Yang, Chongyang Shi, An Lao, Liang Hu, Shoujin Wang, Usman Naseem

CoRR, 2023

Neural Time Series Analysis with Fourier Transform: A Survey.

Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu

CoRR, 2023

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System.

Tangwei Ye, Liang Hu, Qi Zhang, Zhongyuan Lai, Usman Naseem, Dora D. Liu

Proceedings of the ACM Web Conference 2023, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation.

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Mehwish Nasim

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers.

Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting.

Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective.

Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Syntax Tree Constrained Graph Network for Visual Question Answering.

Xiangrui Su, Qi Zhang, Chongyang Shi, Jiachang Liu, Liang Hu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph.

Ran Miao, Xueyu Chen, Liang Hu, Zhifei Zhang, Minghua Wan, Qi Zhang, Cairong Zhao

Proceedings of the IEEE International Conference on Data Mining, 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.

Chongyang Shi, Yijun Yin, Qi Zhang, Liang Xiao, Usman Naseem, Shoujin Wang, Liang Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Causal Intervention for Abstractive Related Work Generation.

Jiachang Liu, Qi Zhang, Chongyang Shi, Usman Naseem, Shoujin Wang, Liang Hu, Ivor W. Tsang

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.

Usman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu, Anum Masood, Mehwish Nasim

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept.

Dora D. Liu, Liang Hu, Qi Zhang, Tangwei Ye, Usman Naseem, Zhongyuan Lai

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.

Liang Hu, Dora D. Liu, Qi Zhang, Usman Naseem, Zhongyuan Lai

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.

Qi Zhang, Longbing Cao, Chongyang Shi, Zhendong Niu

IEEE Trans. Neural Networks Learn. Syst., 2022

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

Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu

CoRR, 2022

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

Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao

CoRR, 2022

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

Qi Zhang, Liang Hu, Chongyang Shi, Ke Liu, Longbing Cao

CoRR, 2022

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities.

Shoujin Wang, Qi Zhang, Liang Hu, Xiuzhen Zhang, Yan Wang, Charu Aggarwal

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.

Xinyu Jiang, Qi Zhang, Chongyang Shi, Kaiying Jiang, Liang Hu, Shoujin Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis.

Xinyu Jiang, Qi Zhang, Chongyang Shi

Proceedings of the International Joint Conference on Neural Networks, 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing.

Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting.

Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

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.

Chaoqun Feng, Chongyang Shi, Shufeng Hao, Qi Zhang, Xinyu Jiang, Daohua Yu

Knowl. Based Syst., 2021

Context-aware item attraction model for session-based recommendation.

Chaoqun Feng, Chongyang Shi, Chuanming Liu, Qi Zhang, Shufeng Hao, Xinyu Jiang

Expert Syst. Appl., 2021

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data.

Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Mix2Vec: Unsupervised Mixed Data Representation.

Chengzhang Zhu, Qi Zhang, Longbing Cao, Arman Abrahamyan

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.

Qi Zhang, Chongyang Shi, Zhendong Niu, Longbing Cao

IEEE Trans. Knowl. Data Eng., 2019

2016

Case-Based Classification on Hierarchical Structure of Formal Concept Analysis.

Qi Zhang, Chongyang Shi, Ping Sun, Zhendong Niu

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016