Qi Zhang

Orcid: 0009-0008-6021-1447

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 94 papers between 2016 and 2026.

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

Timeline

Legend:

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Bibliography

2026
Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration.
Inf. Fusion, 2026

2025
MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms.
IEEE Trans. Comput. Soc. Syst., August, 2025

Perception Activator: An intuitive and portable framework for brain cognitive exploration.
CoRR, July, 2025

Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixing.
CoRR, June, 2025

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement.
CoRR, June, 2025

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy.
CoRR, June, 2025

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection.
CoRR, June, 2025

Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization.
CoRR, June, 2025

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation.
CoRR, June, 2025

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning.
CoRR, May, 2025

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., April, 2025

Adapting GNNs for Document Understanding: A Flexible Framework With Multiview Global Graphs.
IEEE Trans. Comput. Soc. Syst., April, 2025

Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression.
CoRR, March, 2025

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation.
ACM Trans. Inf. Syst., January, 2025

CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning.
Knowl. Based Syst., 2025

Dynamic frequency selection and spatial interaction fusion for robust person search.
Inf. Fusion, 2025

DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection.
Proceedings of the ACM on Web Conference 2025, 2025

Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes.
Proceedings of the ACM on Web Conference 2025, 2025

Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations.
Proceedings of the ACM on Web Conference 2025, 2025

GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes.
Proceedings of the Nineteenth International AAAI Conference on Web and Social Media, 2025

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Incorporating historical information by disentangling hidden representations for mental health surveillance on social media.
Soc. Netw. Anal. Min., December, 2024

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees.
IEEE Trans. Neural Networks Learn. Syst., October, 2024

Deep Coupling Network for Multivariate Time Series Forecasting.
ACM Trans. Inf. Syst., September, 2024

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective.
IEEE Trans. Knowl. Data Eng., June, 2024

Learning adaptive shift and task decoupling for discriminative one-step person search.
Knowl. Based Syst., 2024

Attentive multi-granularity perception network for person search.
Inf. Sci., 2024

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare.
Neurocomputing, 2024

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks.
CoRR, 2024

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift.
CoRR, 2024

Wills Aligner: A Robust Multi-Subject Brain Representation Learner.
CoRR, 2024

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.
CoRR, 2024

Causal Learning for Trustworthy Recommender Systems: A Survey.
CoRR, 2024

DE<sup>3</sup>-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks.
CoRR, 2024

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection.
CoRR, 2024

MSynFD: Multi-hop Syntax Aware Fake News Detection.
Proceedings of the ACM on Web Conference 2024, 2024

SFformer: Adaptive Sparse and Frequency-Guided Transformer Network for Single Image Derain.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FilterNet: Harnessing Frequency Filters for Time Series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Lite-Mind: Towards Efficient and Robust Brain Representation Learning.
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.
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.
Proceedings of the Knowledge Science, Engineering and Management, 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2024

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework.
Proceedings of the IEEE International Conference on Big Data, 2024

THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning.
Proceedings of the IEEE International Conference on Big Data, 2024

Shrink: Data Compression by Semantic Extraction and Residuals Encoding.
Proceedings of the IEEE International Conference on Big Data, 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.
CoRR, 2023

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

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

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers.
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.
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.
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.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph.
Proceedings of the IEEE International Conference on Data Mining, 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

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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