View independent human posture identification using Kinect. - Yuanning Liu; Zequn Zhang; Ao Li 001; Minghui Wang (BMEI, 2012)

Classification-Based Prediction on the Retweet Actions over Microblog Dataset. - Lianshuai Zhang; Zequn Zhang; Peiquan Jin (WISE, 2012)

A direct mining approach to efficient constrained graph pattern discovery. - Feida Zhu 001; Zequn Zhang; Qiang Qu (SIGMOD Conference, 2013)

High Resolution SAR Image Classification with Deeper Convolutional Neural Network. - Yue Zhang 016; Xian Sun; Hao Sun 009; Zequn Zhang; Wenhui Diao; Kun Fu 001 (IGARSS, 2018)

MIFM: Multi-Granularity Information Fusion Model for Chinese Named Entity Recognition. - Naixin Zhang; Guangluan Xu; Zequn Zhang; Feng Li 030 (IEEE Access, 2019)

An Adaptive Real-Time Scheduling Method for Flexible Job Shop Scheduling Problem With Combined Processing Constraint. - Haihua Zhu; Ming Chen; Zequn Zhang; Dunbing Tang (IEEE Access, 2019)

Multiple Target Tracking Based on Multiple Hypotheses Tracking and Modified Ensemble Kalman Filter in Multi-Sensor Fusion. - Zequn Zhang; Kun Fu 001; Xian Sun; Wenjuan Ren (Sensors, 2019)

Graph Convolution Over Multiple Latent Context-Aware Graph Structures for Event Detection. - Lei Li; Li Jin 001; Zequn Zhang; Qing Liu 021; Xian Sun; Hongqi Wang (IEEE Access, 2020)

Coarse and Fine Granularity Graph Reasoning for Interpretable Multi-Hop Question Answering. - Min Zhang 038; Feng Li 030; Yang Wang 056; Zequn Zhang; Yanhai Zhou; Xiaoyu Li 004 (IEEE Access, 2020)

Trigger is Not Sufficient: Exploiting Frame-aware Knowledge for Implicit Event Argument Extraction. - Kaiwen Wei; Xian Sun; Zequn Zhang; Jingyuan Zhang; Zhi Guo; Li Jin 001 (ACL/IJCNLP (1), 2021)

Research on Workers Integration in Smart Factories With Multi-Agent Control System. - Zequn Zhang; Dunbing Tang; Qingwei Nie (IEEE Access, 2021)

Enhancement of Target-Oriented Opinion Words Extraction with Multiview-Trained Machine Reading Comprehension Model. - Jingyuan Zhang; Zequn Zhang; Zhi Guo; Li Jin 001; Kang Liu; Qing Liu 021 (Comput. Intell. Neurosci., 2021)

HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction. - Shiyao Yan; Zequn Zhang; Xian Sun; Guangluan Xu; Li Jin 001; Shuchao Li (CoRR, 2021)

HGEED: Hierarchical graph enhanced event detection. - Jianwei Lv; Zequn Zhang; Li Jin 001; Shuchao Li; Xiaoyu Li 004; Guangluan Xu; Xian Sun (Neurocomputing, 2021)

Hierarchical-aware relation rotational knowledge graph embedding for link prediction. - Shensi Wang; Kun Fu 001; Xian Sun; Zequn Zhang; Shuchao Li; Li Jin 001 (Neurocomputing, 2021)

A unified position-aware convolutional neural network for aspect based sentiment analysis. - Xinyi Wang; Feng Li 030; Zequn Zhang; Guangluan Xu; Jingyuan Zhang; Xian Sun (Neurocomputing, 2021)

End-to-end aspect-based sentiment analysis with hierarchical multi-task learning. - Xinyi Wang; Guangluan Xu; Zequn Zhang; Li Jin 001; Xian Sun (Neurocomputing, 2021)

Integrate syntax information for target-oriented opinion words extraction with target-specific graph convolutional network. - Jingyuan Zhang; Feng Li 030; Zequn Zhang; Guangluan Xu; Yang Wang 056; Xinyi Wang; Yunyan Zhang (Neurocomputing, 2021)

Multi-agent reinforcement learning for online scheduling in smart factories. - Tong Zhou; Dunbing Tang; Haihua Zhu; Zequn Zhang (Robotics Comput. Integr. Manuf., 2021)

PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space. - Shiyao Yan; Zequn Zhang; Xian Sun; Guangluan Xu; Shuchao Li; Qing Liu 021; Nayu Liu; Shensi Wang (AAAI, 2022)

Unsupervised Heterogeneous Cryo-EM Projection Image Classification Using Autoencoder. - Xiangwen Wang; Yonggang Lu; Jianwei Li; Zequn Zhang (BIBM, 2022)

The Continuous Time Dynamical Analysis of Heart Rate Asymmetry. - Yi-Horng Lai; Jiahan Yu; Kun Su; Lin Lan; Zexin Li; Zequn Zhang; Zifeng Zhuang (CECNet, 2022)

A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction. - Yuqi Chen 015; Keming Chen; Xian Sun; Zequn Zhang (EMNLP, 2022)

DPNet: domain-aware prototypical network for interdisciplinary few-shot relation classification. - Bo Lv; Li Jin 001; Xiaoyu Li 004; Xian Sun; Zhi Guo; Zequn Zhang; Shuchao Li (Appl. Intell., 2022)

SF-ANN: leveraging structural features with an attention neural network for candidate fact ranking. - Yanan Zhang; Li Jin 001; Zequn Zhang; Xiaoyu Li 004; Qing Liu 021; Hongqi Wang (Appl. Intell., 2022)

RSAP-Net: joint optic disc and cup segmentation with a residual spatial attention path module and MSRCR-PT pre-processing algorithm. - Yun Jiang; Zeqi Ma; Chao Wu; Zequn Zhang; Wei Yan (BMC Bioinform., 2022)

SIL-Net: A Semi-Isotropic L-shaped network for dermoscopic image segmentation. - Zequn Zhang; Yun Jiang; Hao Qiao; Meiqi Wang; Wei Yan; Jie Chen (Comput. Biol. Medicine, 2022)

Span-level Bidirectional Cross-attention Framework for Aspect Sentiment Triplet Extraction. - Yuqi Chen 015; Keming Chen; Xian Sun; Zequn Zhang (CoRR, 2022)

Span-based dual-decoder framework for aspect sentiment triplet extraction. - Yuqi Chen 015; Zequn Zhang; Guangyao Zhou; Xian Sun; Keming Chen (Neurocomputing, 2022)

TSPNet: Translation supervised prototype network via residual learning for multimodal social relation extraction. - Hankun Kang; Xiaoyu Li 004; Li Jin 001; Chunbo Liu; Zequn Zhang; Shuchao Li; Yanan Zhang (Neurocomputing, 2022)

Representation learning of knowledge graphs with the interaction between entity types and relations. - Shensi Wang; Kun Fu 001; Xian Sun; Zequn Zhang; Shuchao Li; Shiyao Yan (Neurocomputing, 2022)

HYPER2: Hyperbolic embedding for hyper-relational link prediction. - Shiyao Yan; Zequn Zhang; Xian Sun; Guangluan Xu; Li Jin 001; Shuchao Li (Neurocomputing, 2022)

Trigger is Non-central: Jointly event extraction via label-aware representations with multi-task learning. - Jianwei Lv; Zequn Zhang; Li Jin 001; Shuchao Li; Xiaoyu Li 004; Guangluan Xu; Xian Sun (Knowl. Based Syst., 2022)

HEFT: A History-Enhanced Feature Transfer framework for incremental event detection. - Kaiwen Wei; Zequn Zhang; Li Jin 001; Zhi Guo; Shuchao Li; Weihong Wang; Jianwei Lv (Knowl. Based Syst., 2022)

Modeling N-ary relational data as gyro-polygons with learnable gyro-centroid. - Shiyao Yan; Zequn Zhang; Guangluan Xu; Xian Sun; Shuchao Li; Shensi Wang (Knowl. Based Syst., 2022)

TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection. - Linhao Zhang; Li Jin 001; Xian Sun; Guangluan Xu; Zequn Zhang; Xiaoyu Li 004; Nayu Liu; Qing Liu 021; Shiyao Yan (AAAI, 2023)

Guide the Many-to-One Assignment: Open Information Extraction via IoU-aware Optimal Transport. - Kaiwen Wei; Yiran Yang; Li Jin 001; Xian Sun; Zequn Zhang; Jingyuan Zhang; Xiao Li; Linhao Zhang; Jintao Liu; Zhi Guo (ACL (1), 2023)

SRNet: Striped Pyramid Pooling and Relational Transformer for Retinal Vessel Segmentation. - Wei Yan; Yun Jiang; Zequn Zhang; Yao Yan 003; Bingxi Liu 003 (BMVC, 2023)

A Multimodal Construction Method for a Digital Twin System with Human-Robot Collaboration. - Yuchen Ji; Zequn Zhang; Dunbing Tang; Changchun Liu; Zhen Zhao; Qili Cao (CRC, 2023)

Event Causality Extraction via Implicit Cause-Effect Interactions. - Jintao Liu; Zequn Zhang; Kaiwen Wei; Zhi Guo; Xian Sun; Li Jin 001; Xiaoyu Li 004 (EMNLP, 2023)

Narrative Order Aware Story Generation via Bidirectional Pretraining Model with Optimal Transport Reward. - Zhicong Lu; Li Jin 001; Guangluan Xu; Linmei Hu; Nayu Liu; Xiaoyu Li 004; Xian Sun; Zequn Zhang; Kaiwen Wei (EMNLP (Findings), 2023)

NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation. - Baao Xie; Bohan Li; Zequn Zhang; Junting Dong; Xin Jin 014; Jingyu Yang 002; Wenjun Zeng 001 (ICCV, 2023)

Research on Construction of Digital Twin Models for Workshop-level Industrial Equipment. - Chengxuan Hu; Zequn Zhang; Dunbing Tang; Yiwen Hu (ICAC, 2023)

TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection. - Linhao Zhang; Li Jin 001; Xian Sun; Guangluan Xu; Zequn Zhang; Xiaoyu Li 004; Nayu Liu; Shiyao Yan; Qing Liu 021 (CoRR, 2023)

Thinking Like an Expert: Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals. - Fanglong Yao; Changyuan Tian; Jintao Liu; Zequn Zhang; Qing Liu 021; Li Jin 001; Shuchao Li; Xiaoyu Li 004; Xian Sun (CoRR, 2023)

MDSC-Net: A multi-scale depthwise separable convolutional neural network for skin lesion segmentation. - Yun Jiang; Hao Qiao; Zequn Zhang; Meiqi Wang; Wei Yan; Jie Chen (IET Image Process., 2023)

ReasonFuse: Reason Path Driven and Global-Local Fusion Network for Numerical Table-Text Question Answering. - Yuancheng Xia; Feng Li 030; Qing Liu 021; Li Jin 001; Zequn Zhang; Xian Sun; Lixu Shao (Neurocomputing, 2023)

KEPT: Knowledge Enhanced Prompt Tuning for event causality identification. - Jintao Liu; Zequn Zhang; Zhi Guo; Li Jin 001; Xiaoyu Li 004; Kaiwen Wei; Xian Sun (Knowl. Based Syst., 2023)

Extracting 3-D Structural Lines of Building From ALS Point Clouds Using Graph Neural Network Embedded With Corner Information. - Tengping Jiang; Yongjun Wang; Zequn Zhang; Shan Liu; Lei Dai; Yongchao Yang; Xin Jin 014; Wenjun Zeng 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

MS-CANet: Multi-Scale Subtraction Network with Coordinate Attention for Retinal Vessel Segmentation. - Yun Jiang; Wei Yan; Jie Chen; Hao Qiao; Zequn Zhang; Meiqi Wang (Symmetry, 2023)

Exploiting event-aware and role-aware with tree pruning for document-level event extraction. - Jianwei Lv; Zequn Zhang; Guangluan Xu; Xian Sun; Shuchao Li; Qing Liu 021; Pengcheng Dong (Neural Comput. Appl., 2023)

Dynamic scheduling for flexible job shop using a deep reinforcement learning approach. - Yong Gui; Dunbing Tang; Haihua Zhu; Yi Zhang; Zequn Zhang (Comput. Ind. Eng., 2023)

Tackling higher-order relations and heterogeneity: Dynamic heterogeneous hypergraph network for spatiotemporal activity prediction. - Changyuan Tian; Zequn Zhang; Fanglong Yao; Zhi Guo; Shiyao Yan; Xian Sun (Neural Networks, 2023)

Implicit Event Argument Extraction With Argument-Argument Relational Knowledge. - Kaiwen Wei; Xian Sun; Zequn Zhang; Li Jin 001; Jingyuan Zhang; Jianwei Lv; Zhi Guo (IEEE Trans. Knowl. Data Eng., 2023)

A mixed perception-based human-robot collaborative maintenance approach driven by augmented reality and online deep reinforcement learning. - Changchun Liu; Zequn Zhang; Dunbing Tang; Qingwei Nie; Linqi Zhang; Jiaye Song (Robotics Comput. Integr. Manuf., 2023)

Emotion-cause pair extraction with bidirectional multi-label sequence tagging. - Jintao Liu; Zequn Zhang; Zhi Guo; Li Jin 001; Xiaoyu Li 004; Kaiwen Wei; Xian Sun (Appl. Intell., 2023)

scMonica: Single-cell Mosaic Omics Nonlinear Integration and Clustering Analysis. - Xiaoli Li; Rui Zhang; Saba Aslam; Huijun Li; Yuxi Chen; Zequn Zhang; Ruey-Song Huang; Hongyan Wu (BIBM, 2024)

Consistency Prior Matters: Biomedical-Prompting Dual Augmentation for Domain Adaptive Medical Image Segmentation. - Yunnan Wang; Zequn Zhang; Xin Jin 014; Wenjun Zeng 001 (BIBM, 2024)

Spiking Generative Adversarial Network for Controllable Affective Music Creation. - Yuan Zhao; Xianghong Lin; Zequn Zhang; Chengyang Xie; Ruidong Ma (ICIC (2), 2024)

Scene Graph Disentanglement and Composition for Generalizable Complex Image Generation. - Yunnan Wang; Ziqiang Li; Wenyao Zhang; Zequn Zhang; Baao Xie; Xihui Liu; Wenjun Zeng 001; Xin Jin 014 (NeurIPS, 2024)

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models. - Baao Xie; Qiuyu Chen; Yunnan Wang; Zequn Zhang; Xin Jin 014; Wenjun Zeng 001 (NeurIPS, 2024)

Collaborative dynamic scheduling in a self-organizing manufacturing system using multi-agent reinforcement learning. - Yong Gui; Zequn Zhang; Dunbing Tang; Haihua Zhu; Yi Zhang (Adv. Eng. Informatics, 2024)

Probing a point cloud based expeditious approach with deep learning for constructing digital twin models in shopfloor. - Zhen Zhao; Zequn Zhang; Qingwei Nie; Changchun Liu; Haihua Zhu; Kai Chen; Dunbing Tang (Adv. Eng. Informatics, 2024)

RailPC: A large-scale railway point cloud semantic segmentation dataset. - Tengping Jiang; Shiwei Li; Qinyu Zhang 008; Guangshuai Wang; Zequn Zhang; Fankun Zeng; Peng An; Xin Jin 014; Shan Liu; Yongjun Wang (CAAI Trans. Intell. Technol., 2024)

Probing an LSTM-PPO-Based reinforcement learning algorithm to solve dynamic job shop scheduling problem. - Wei Chen 139; Zequn Zhang; Dunbing Tang; Changchun Liu; Yong Gui; Qingwei Nie; Zhen Zhao (Comput. Ind. Eng., 2024)

A Large Language Model-based multi-agent manufacturing system for intelligent shopfloor. - Zhen Zhao; Dunbing Tang; Haihua Zhu; Zequn Zhang; Kai Chen; Changchun Liu; Yuchen Ji (CoRR, 2024)

Graph-enhanced context aware framework for session-based recommendation. - Xinyi Zeng; Zequn Zhang; Shuchao Li; Zhi Guo; Yu Tian; Li Jin 001; Xian Sun (Neurocomputing, 2024)

SKYPER: Legal case retrieval via skeleton-aware hypergraph embedding in the hyperbolic space. - Shiyao Yan; Zequn Zhang (Inf. Sci., 2024)

Dense-sparse representation matters: A point-based method for volumetric medical image segmentation. - Yun Jiang; Bingxi Liu 003; Zequn Zhang; Yao Yan 003; Huanting Guo; Yuhang Li (J. Vis. Commun. Image Represent., 2024)

LollipopE: Bi-centered lollipop embedding for complex logic query on knowledge graph. - Shiyao Yan; Changyuan Tian; Zequn Zhang; Guangluan Xu (Neural Networks, 2024)

Probing an Easy-to-Deploy Multi-Agent Manufacturing System Based on Agent Computing Node: Architecture, Implementation, and Case Study. - Liping Wang 017; Qingwei Nie; Zequn Zhang; Dunbing Tang; Changchun Liu (J. Comput. Inf. Sci. Eng., 2024)

Enabling collaborative assembly between humans and robots using a digital twin system. - Zequn Zhang; Yuchen Ji; Dunbing Tang; Jie Chen; Changchun Liu (Robotics Comput. Integr. Manuf., 2024)

More Than Syntaxes: Investigating Semantics to Zero-shot Cross-lingual Relation Extraction and Event Argument Role Labelling. - Kaiwen Wei; Li Jin 001; Zequn Zhang; Zhi Guo; Xiaoyu Li 004; Qing Liu 021; Weimiao Feng (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Dynamic decision-making for knowledge-enabled distributed resource configuration in cloud manufacturing considering stochastic order arrival. - Yi Zhang 136; Zequn Zhang; Yuqian Lu; Haihua Zhu; Dunbing Tang (Robotics Comput. Integr. Manuf., 2024)

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting. - Changyuan Tian; Zhicong Lu; Zequn Zhang; Heming Yang 003; Wei Cao; Zhi Guo; Xian Sun; Li Jin 001 (AAAI, 2025)

RLLTE: Long-Term Evolution Project of Reinforcement Learning. - Mingqi Yuan; Zequn Zhang; Yang Xu; Shihao Luo; Bo Li 037; Xin Jin 014; Wenjun Zeng 001 (AAAI, 2025)

Face Relighting with Ratio Function for Explicit Geometric Representation. - Yiyang Hu; Zequn Zhang; Hui Zhang; Guquan Jing; Peng Gao (ICASSP, 2025)

HIDE: Hyperspectral Imaging Dataset for Camouflaged Target Recognition. - Shu Li; Haoyang Liu; Yuan Zhao; Zequn Zhang; Zhaoyuan Zhang; Zihe Chen; Yangfan Li; Mengquan Li (ICIC (17), 2025)

A skill vector-based multi-task optimization algorithm for achieving objectives of multiple users in cloud manufacturing. - Yixiao Jiang; Dunbing Tang; Haihua Zhu; Changchun Liu; Kai Chen; Zequn Zhang; Jie Chen (Adv. Eng. Informatics, 2025)

Graph-based deep reinforcement learning for dynamic scheduling of flexible job-shop considering worker fatigue and multi-skill factors. - Yiwen Hu; Zequn Zhang; Jie Chen; Dunbing Tang; Qixiang Cai (Appl. Soft Comput., 2025)

HGCMLDA: predicting lncRNA-disease associations using hypergraph contrastive learning and multi-scale attentional feature fusion. - Zequn Zhang; Huijun Li; Yuxi Chen; Xiaoli Li; Dongqing Wei; Hongyan Wu (Briefings Bioinform., 2025)

Enhancing machine tool predictive maintenance: A dual-model approach integrating improved deep autoencoders and graph attention network. - Changchun Liu; Dunbing Tang; Haihua Zhu; Qixiang Cai; Zequn Zhang; Qingwei Nie (Comput. Ind. Eng., 2025)

Copiously Quote Classics: Improving Chinese Poetry Generation with historical allusion knowledge. - Zhonghe Han; Jintao Liu; Yuanben Zhang; Lili Zhang; Lei Wang; Zequn Zhang; Zhihao Zhao; Zhenyu Huang (Comput. Speech Lang., 2025)

Self-adaptive production scheduling for discrete manufacturing workshop using multi-agent cyber physical system. - Jie Chen; Zequn Zhang; Liping Wang; Dunbing Tang; Qixiang Cai; Kai Chen (Eng. Appl. Artif. Intell., 2025)

CoSAF: Toward a Secure Meta-Computing IIoT Infrastructure Through Collaborative Source Address Filtering. - Shu Yang 002; Zequn Zhang; Laizhong Cui (IEEE Internet Things J., 2025)

Dynamic scheduling for dual-resource constrained flexible job-shop via semantic-aware graph modelling and deep reinforcement learning. - Yiwen Hu; Jie Chen; Zequn Zhang; Dunbing Tang; Qixiang Cai (Knowl. Based Syst., 2025)

RAIN: Reconstructed-aware in-context enhancement with graph denoising for session-based recommendation. - Xinyi Zeng; Shuchao Li; Zequn Zhang; Li Jin 001; Zhi Guo; Kaiwen Wei (Neural Networks, 2025)

Real-time response to machine failures in self-organizing production execution using multi-agent reinforcement learning with effective samples. - Yong Gui; Dunbing Tang; Yuqian Lu; Haihua Zhu; Zequn Zhang; Changchun Liu (Robotics Comput. Integr. Manuf., 2025)

Unleash the Power of Vision-Language Models by Visual Attention Prompt and Multimodal Interaction. - Wenyao Zhang; Letian Wu; Zequn Zhang; Tao Yu 012; Chao Ma 004; Xin Jin 014; Xiaokang Yang 001; Wenjun Zeng 001 (IEEE Trans. Multim., 2025)

Room-level localization method in industrial workshops using LiDAR-based point cloud registration and object recognition. - Yunzhi Li; Libin Tan; Xiangrong Xu; Zequn Zhang (Appl. Intell., 2025)

Exploring Contrastive Pre-Training for Domain Connections in Medical Image Segmentation. - Zequn Zhang; Yun Jiang; Yunnan Wang; Baao Xie; Wenyao Zhang; Yuhang Li; Zhen Chen 013; Xin Jin 014; Wenjun Zeng 001 (IEEE Trans. Medical Imaging, 2025)

How to learn new knowledge: a multimodal contrastive learning framework for open-world knowledge graph completion. - Shensi Wang; Kun Fu 001; Xian Sun; Zequn Zhang; Li Jin 001; Yuying Shang; Shiyao Yan (Appl. Intell., 2025)