Case-Based Classification on Hierarchical Structure of Formal Concept Analysis. - Qi Zhang 020; Chongyang Shi 001; Ping Sun; Zhendong Niu (ECAI, 2016)

HCBC: A Hierarchical Case-Based Classifier Integrated with Conceptual Clustering. - Qi Zhang 020; Chongyang Shi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2019)

Mix2Vec: Unsupervised Mixed Data Representation. - Chengzhang Zhu; Qi Zhang 020; Longbing Cao; Arman Abrahamyan (DSAA, 2020)

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Liang Hu 004 (AAAI, 2021)

Context-aware item attraction model for session-based recommendation. - Chaoqun Feng; Chongyang Shi 001; Chuanming Liu; Qi Zhang 020; Shufeng Hao; Xinyu Jiang (Expert Syst. Appl., 2021)

Hierarchical Social Similarity-guided Model with Dual-mode Attention for session-based recommendation. - Chaoqun Feng; Chongyang Shi 001; Shufeng Hao; Qi Zhang 020; Xinyu Jiang; Daohua Yu (Knowl. Based Syst., 2021)

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. - Hui He; Qi Zhang 020; Simeng Bai; Kun Yi 001; Zhendong Niu (AAAI, 2022)

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. - Qi Zhang 020; Liang Hu 004; Longbing Cao; Chongyang Shi 001; Shoujin Wang; Dora D. Liu (IJCAI, 2022)

Hierarchical Neural Network with Bidirectional Selection Mechanism for Sentiment Analysis. - Xinyu Jiang; Qi Zhang 020; Chongyang Shi 001 (IJCNN, 2022)

An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters. - Xinyu Jiang; Qi Zhang 020; Chongyang Shi 001; Kaiying Jiang; Liang Hu 004; Shoujin Wang (ECML/PKDD (2), 2022)

Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities. - Shoujin Wang; Qi Zhang 020; Liang Hu 004; Xiuzhen Zhang 001; Yan Wang 002; Charu Aggarwal 001 (SIGIR, 2022)

Supervised Deep Hashing for High-dimensional and Heterogeneous Case-based Reasoning. - Qi Zhang 020; Liang Hu 004; Chongyang Shi 001; Ke Liu; Longbing Cao (CoRR, 2022)

Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Liang Hu 004; Hui He; Ning An 001; Longbing Cao; Zhendong Niu (CoRR, 2022)

Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. - Qi Zhang 020; Longbing Cao; Chongyang Shi 001; Zhendong Niu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions. - Liang Hu 004; Dora D. Liu; Qi Zhang 020; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept. - Dora D. Liu; Liang Hu 004; Qi Zhang 020; Tangwei Ye; Usman Naseem; Zhongyuan Lai (AAAI, 2023)

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Anum Masood; Mehwish Nasim (ClinicalNLP@ACL, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Liang Hu 004; Ivor W. Tsang (EMNLP (Findings), 2023)

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference. - Chongyang Shi 001; Yijun Yin; Qi Zhang 020; Liang Xiao 010; Usman Naseem; Shoujin Wang; Liang Hu 004 (EMNLP (Findings), 2023)

PatSTEG: Modeling Formation Dynamics of Patent Citation Networks via The Semantic-Topological Evolutionary Graph. - Ran Miao; Xueyu Chen; Liang Hu 004; Zhifei Zhang; Minghua Wan; Qi Zhang 020; Cairong Zhao (ICDM, 2023)

Syntax Tree Constrained Graph Network for Visual Question Answering. - Xiangrui Su; Qi Zhang 020; Chongyang Shi 001; Jiachang Liu 004; Liang Hu 004 (ICONIP (5), 2023)

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Hui He; Liang Hu 004; Pengyang Wang; Ning An 001; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Wei Fan 010; Shoujin Wang; Pengyang Wang; Hui He; Ning An 001; Defu Lian; Longbing Cao; Zhendong Niu (NeurIPS, 2023)

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers. - Yu Zhang 133; Yepeng Liu; Duoqian Miao 001; Qi Zhang 020; Yiwei Shi; Liang Hu 004 (NeurIPS, 2023)

MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Mehwish Nasim (SIGIR, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System. - Tangwei Ye; Liang Hu 004; Qi Zhang 020; Zhongyuan Lai; Usman Naseem; Dora D. Liu (WWW, 2023)

Neural Time Series Analysis with Fourier Transform: A Survey. - Kun Yi 001; Qi Zhang 020; Shoujin Wang; Hui He; Guodong Long; Zhendong Niu (CoRR, 2023)

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 004; Shoujin Wang; Usman Naseem (CoRR, 2023)

Causal Intervention for Abstractive Related Work Generation. - Jiachang Liu 004; Qi Zhang 020; Chongyang Shi 001; Usman Naseem; Shoujin Wang; Ivor W. Tsang (CoRR, 2023)

Process Knowledge-infused Learning for Clinician-friendly Explanations. - Kaushik Roy 009; Yuxin Zi; Manas Gaur; Jinendra Malekar; Qi Zhang 020; Vignesh Narayanan; Amit P. Sheth (CoRR, 2023)

Lite-Mind: Towards Efficient and Versatile Brain Representation Network. - Zixuan Gong; Qi Zhang 020; Duoqian Miao 001; Guangyin Bao; Liang Hu 004 (CoRR, 2023)

Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast. - Guangyin Bao; Qi Zhang 020; Duoqian Miao 001; Zixuan Gong; Liang Hu 004 (CoRR, 2023)

PFEMed: Few-shot medical image classification using prior guided feature enhancement. - Zhiyong Dai; Jianjun Yi; Lei Yan; Qingwen Xu; Liang Hu 004; Qi Zhang 020; Jiahui Li; Guoqiang Wang (Pattern Recognit., 2023)

Cluster-aware attentive convolutional recurrent network for multivariate time-series forecasting. - Simeng Bai; Qi Zhang 020; Hui He; Liang Hu 004; Shoujin Wang; Zhendong Niu (Neurocomputing, 2023)

Modeling User Demand Evolution for Next-Basket Prediction. - Shoujin Wang; Yan Wang 002; Liang Hu 004; Xiuzhen Zhang 001; Qi Zhang 020; Quan Z. Sheng; Mehmet A. Orgun; Longbing Cao; Defu Lian (IEEE Trans. Knowl. Data Eng., 2023)

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. - An Lao; Qi Zhang 020; Chongyang Shi 001; Longbing Cao; Kun Yi 001; Liang Hu 004; Duoqian Miao 001 (AAAI, 2024)

Shrink: Data Compression by Semantic Extraction and Residuals Encoding. - Guoyou Sun; Panagiotis Karras; Qi Zhang 020 (IEEE Big Data, 2024)

THYMES: A Framework for Detecting Suicidal Ideation from Social Media Posts Using Hyperbolic Learning. - Surendrabikram Thapa; Mohammad Salman; Siddhant Bikram Shah; Shuvam Shiwakoti; Qi Zhang 020; Liang Hu 004; Imran Razzak; Usman Naseem (IEEE Big Data, 2024)

SAFENet: Towards a Robust Suicide Assessment in Social Media Using Selective Prediction Framework. - Surendrabikram Thapa; Mohammad Salman; Siddhant Bikram Shah; Qi Zhang 020; Junaid Rashid; Liang Hu 004; Imran Razzak; Usman Naseem (IEEE Big Data, 2024)

Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction. - Jinzhi Shan; Qi Zhang 020; Chongyang Shi 001; Mengting Gui; Shoujin Wang; Usman Naseem (CIKM, 2024)

Exploitation or Exploration Next? User Behavior Decoupling and Emerging Intent Modeling for Next-Item Recommendation. - Nengjun Zhu; Lingdan Sun; Xiangfeng Luo; Jian Cao 001; Qi Zhang 020; Xinjiang Lu (ICDM, 2024)

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. - Yu Zhang 133; Qi Zhang 020; Zixuan Gong; Yiwei Shi; Yepeng Liu; Duoqian Miao 001; Yang Liu; Ke Liu; Kun Yi 001; Wei Fan 010; Liang Hu 004; Changwei Wang 001 (ICML, 2024)

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models. - Hao Yu; Bo Shen; Dezhi Ran; Jiaxin Zhang 029; Qi Zhang 020; Yuchi Ma; Guangtai Liang; Ying Li 012; Qianxiang Wang; Tao Xie 001 (ICSE, 2024)

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. - Wei Fan 010; Kun Yi 001; Hangting Ye; Zhiyuan Ning; Qi Zhang 020; Ning An 001 (IJCAI, 2024)

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Kun Yi 001; Wei Fan 010; Liang Hu 004 (IJCAI, 2024)

Reinforced Subject-Aware Graph Neural Network for Related Work Generation. - Luyao Yu; Qi Zhang 020; Chongyang Shi 001; An Lao; Liang Xiao 010 (KSEM (1), 2024)

VR-DiagNet: Medical Volumetric and Radiomic Diagnosis Networks with Interpretable Clinician-like Optimizing Visual Inspection. - Shouyu Chen; Liang Hu 004; Tangwei Ye; Zhongyuan Lai; Qi Zhang 020; Ke Liu; Usman Naseem; Ke Sun; Nengjun Zhu (ACM Multimedia, 2024)

Lite-Mind: Towards Efficient and Robust Brain Representation Learning. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu 002; Yu Zhang 133; Ke Liu; Liang Hu 004; Duoqian Miao 001 (ACM Multimedia, 2024)

FilterNet: Harnessing Frequency Filters for Time Series Forecasting. - Kun Yi 001; Jingru Fei; Qi Zhang 020; Hui He; Shufeng Hao; Defu Lian; Wei Fan 010 (NeurIPS, 2024)

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction. - Zixuan Gong; Guangyin Bao; Qi Zhang 020; Zhongwei Wan; Duoqian Miao 001; Shoujin Wang; Lei Zhu 003; Changwei Wang 001; Rongtao Xu; Liang Hu 004; Ke Liu; Yu Zhang 133 (NeurIPS, 2024)

SFformer: Adaptive Sparse and Frequency-Guided Transformer Network for Single Image Derain. - Xinrui Wang; Hongyun Zhang; Kecan Cai; Duoqian Miao 001; Qi Zhang 020; Miao Li (PRCV (8), 2024)

MSynFD: Multi-hop Syntax Aware Fake News Detection. - Liang Xiao 010; Qi Zhang 020; Chongyang Shi 001; Shoujin Wang; Usman Naseem; Liang Hu 004 (WWW, 2024)

Weakly Augmented Variational Autoencoder in Time Series Anomaly Detection. - Zhangkai Wu; Longbing Cao; Qi Zhang 020; Junxian Zhou; Hui Chen 026 (CoRR, 2024)

DE3-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. - Jianing He; Qi Zhang 020; Weiping Ding 001; Duoqian Miao 001; Jun Zhao; Liang Hu 004; Longbing Cao (CoRR, 2024)

Causal Learning for Trustworthy Recommender Systems: A Survey. - Jin Li 002; Shoujin Wang; Qi Zhang 020; Longbing Cao; Fang Chen 001; Xiuzhen Zhang 001; Dietmar Jannach; Charu C. Aggarwal (CoRR, 2024)

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu 002; Ke Liu; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Wills Aligner: A Robust Multi-Subject Brain Representation Learner. - Guangyin Bao; Zixuan Gong; Qi Zhang 020; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (CoRR, 2024)

Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. - Hui He; Qi Zhang 020; Kun Yi 001; Xiaojun Xue; Shoujin Wang; Liang Hu 004; Longbing Cao (CoRR, 2024)

Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. - Jiaxing Miao; Liang Hu 004; Qi Zhang 020; Longbing Cao (CoRR, 2024)

Graph learning with label attention and hyperbolic embedding for temporal event prediction in healthcare. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Shoujin Wang; Junaid Rashid; Liang Hu 004; Amir Hussain 001 (Neurocomputing, 2024)

Attentive multi-granularity perception network for person search. - Qixian Zhang; Jun Wu 006; Duoqian Miao 001; Cairong Zhao; Qi Zhang 020 (Inf. Sci., 2024)

Learning adaptive shift and task decoupling for discriminative one-step person search. - Qixian Zhang; Duoqian Miao 001; Qi Zhang 020; Changwei Wang 001; Yanping Li; Hongyun Zhang; Cairong Zhao (Knowl. Based Syst., 2024)

Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. - Hui He; Qi Zhang 020; Shoujin Wang; Kun Yi 001; Zhendong Niu; Longbing Cao (IEEE Trans. Knowl. Data Eng., 2024)

Deep Coupling Network for Multivariate Time Series Forecasting. - Kun Yi 001; Qi Zhang 020; Hui He; Kaize Shi; Liang Hu 004; Ning An 001; Zhendong Niu (ACM Trans. Inf. Syst., 2024)

Rumor Detection With Hierarchical Representation on Bipartite Ad Hoc Event Trees. - Qi Zhang 020; Yayi Yang; Chongyang Shi 001; An Lao; Liang Hu 008; Shoujin Wang; Usman Naseem (IEEE Trans. Neural Networks Learn. Syst., 2024)

Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Liang Hu 004; Junaid Rashid; Mehwish Nasim (Soc. Netw. Anal. Min., 2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Jialei Zhou; Wei Fan 010; Kun Yi 001; Usman Naseem; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting. - Jingru Fei; Kun Yi 001; Wei Fan 010; Qi Zhang 020; Zhendong Niu (AAAI, 2025)

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction. - Zixuan Gong; Qi Zhang 020; Guangyin Bao; Lei Zhu; Rongtao Xu; Ke Liu; Liang Hu 004; Duoqian Miao 001 (AAAI, 2025)

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism. - Jianing He; Qi Zhang 020; Hongyun Zhang; Xuanjing Huang 001; Usman Naseem; Duoqian Miao 001 (AAAI, 2025)

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI. - Guangyin Bao; Qi Zhang 020; Zixuan Gong; Zhuojia Wu; Duoqian Miao 001 (ICLR, 2025)

A Multimodal Prompt-based Framework for Analyzing Code-Mixed and Low-Resource Memes. - Surendrabikram Thapa; Hariram Veeramani; Liang Hu 004; Qi Zhang 020; Wei Wang 077; Usman Naseem (ICWSM, 2025)

IN-Flow: Instance Normalization Flow for Non-stationary Time Series Forecasting. - Wei Fan 010; Shun Zheng 001; Pengyang Wang; Rui Xie 002; Kun Yi 001; Qi Zhang 020; Jiang Bian 002; Yanjie Fu (KDD (1), 2025)

GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities. - Usman Naseem; Shuvam Shiwakoti; Siddhant Bikram Shah; Surendrabikram Thapa; Qi Zhang 020 (NAACL (Short Papers), 2025)

Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations. - Jin Li 002; Shoujin Wang; Qi Zhang 020; Shui Yu 001; Fang Chen 001 (WWW, 2025)

Time-aware Medication Recommendation via Intervention of Dynamic Treatment Regimes. - Yishuo Li; Qi Zhang 020; Wenpeng Lu; Xueping Peng; Weiyu Zhang 001; Jiasheng Si; Yongshun Gong; Liang Hu 004 (WWW, 2025)

DiGrI: Distorted Greedy Approach for Human-Assisted Online Suicide Ideation Detection. - Usman Naseem; Liang Hu 008; Qi Zhang 020; Shoujin Wang; Shoaib Jameel (WWW, 2025)

Dynamic frequency selection and spatial interaction fusion for robust person search. - Qixian Zhang; Duoqian Miao 001; Qi Zhang 020; Cairong Zhao; Hongyun Zhang; Ye Sun; Ruizhi Wang (Inf. Fusion, 2025)

CoSD: Collaborative stance detection with contrastive heterogeneous topic graph learning. - Yinghan Cheng; Qi Zhang 020; Chongyang Shi 001; Liang Xiao 010; Shufeng Hao; Liang Hu 004 (Knowl. Based Syst., 2025)

RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation. - Weibin Liao; Yifan Zhu 001; Yanyan Li; Qi Zhang 020; Zhonghong Ou; Xuesong Li 003 (ACM Trans. Inf. Syst., 2025)

Highly Efficient Direct Analytics on Semantic-aware Time Series Data Compression. - Guoyou Sun; Panagiotis Karras; Qi Zhang 020 (CoRR, 2025)

Adapting GNNs for Document Understanding: A Flexible Framework With Multiview Global Graphs. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Xue Rong Zhao; Kaize Shi (IEEE Trans. Comput. Soc. Syst., 2025)

Distributional Drift Adaptation With Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. - Hui He; Qi Zhang 020; Kun Yi 001; Kaize Shi; Zhendong Niu; Longbing Cao (IEEE Trans. Neural Networks Learn. Syst., 2025)

Enhancing Text-to-Image Diffusion Transformer via Split-Text Conditioning. - Yu Zhang 133; Jialei Zhou; Xinchen Li; Qi Zhang 020; Zhongwei Wan; Tianyu Wang; Duoqian Miao 001; Changwei Wang 001; Longbing Cao (CoRR, 2025)

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation. - Tianjiao Li; Mengran Yu; Chenyu Shi; Yanjun Zhao; Xiaojing Liu; Qiang Zhang; Qi Zhang 020; Xuanjing Huang 001; Jiayin Wang (CoRR, 2025)

Boosting Adversarial Transferability via Commonality-Oriented Gradient Optimization. - Yanting Gao; Yepeng Liu; Junming Liu; Qi Zhang 020; Hongyun Zhang; Duoqian Miao 001; Cairong Zhao (CoRR, 2025)

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection. - Jianing He; Qi Zhang 020; Duoqian Miao 001; Kun Yi 001; Shufeng Hao; Hongyun Zhang; Zhihua Wei 001 (CoRR, 2025)

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Dora D. Liu; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement. - Zhihao Sui; Liang Hu 004; Jian Cao 001; Usman Naseem; Zhongyuan Lai; Qi Zhang 020 (CoRR, 2025)

Transformer-Based Person Search with High-Frequency Augmentation and Multi-Wave Mixing. - Qilin Shu; Qixian Zhang; Qi Zhang 020; Hongyun Zhang; Duoqian Miao 001; Cairong Zhao (CoRR, 2025)

Perception Activator: An intuitive and portable framework for brain cognitive exploration. - Le Xu; Qi Zhang 020; Qixian Zhang; Hongyun Zhang; Duoqian Miao 001; Cairong Zhao (CoRR, 2025)

MASK-Net: Robust Health Mention Classification by Masking a Disease or Symptom Terms. - Usman Naseem; Surendrabikram Thapa; Qi Zhang 020; Junaid Rashid; Liang Hu 004 (IEEE Trans. Comput. Soc. Syst., 2025)

Seeking personality yet commonality via adversarial learning to enhance heterogeneous multimodal collaboration. - Zhuojia Wu; Qi Zhang 020; Duoqian Miao 001; Xuerong Zhao; Guangyin Bao; Liang Hu 004; Kun Yi 001; Yu Zhou (Inf. Fusion, 2026)