Wei Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 102

Top Venues

CoRR

AAAI

KDD

IEEE Trans. Knowl. Data Eng.

Publications

Siyu Wu, Jun Wang, Wei Zhang
Contrastive Personalized Exercise Recommendation With Reinforcement Learning. IEEE Trans. Learn. Technol. 17 (2024)
Cong Xu, Jun Wang, Wei Zhang
StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 36 (6) (2024)
Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang
Dynamic Token-Pass Transformers for Semantic Segmentation. WACV (2024)
Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. KDD (2024)
Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei Zhang
Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction. IEEE Trans. Knowl. Data Eng. 36 (3) (2024)
Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) (2024)
Siyu Wu, Yang Cao, Jiajun Cui, Runze Li, Hong Qian, Bo Jiang, Wei Zhang
A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations. CoRR (2024)
Wei Zhang, Miaoxin Cai, Tong Zhang, Jun Li, Yin Zhuang, Xuerui Mao
EarthMarker: Visual Prompt Learning for Region-level and Point-level Remote Sensing Imagery Comprehension. CoRR (2024)
Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. ICASSP (2024)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Learning Interpretable Rules for Scalable Data Representation and Classification. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Wei Zhang, Miaoxin Cai, Tong Zhang, Yin Zhuang, Xuerui Mao
EarthGPT: A Universal Multimodal Large Language Model for Multisensor Image Comprehension in Remote Sensing Domain. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. CoRR (2024)
Zhiyuan Wang, Wei Zhang, Jun Wang
Estimating Difficulty Levels of Programming Problems with Pre-trained Model. CoRR (2024)
Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. CoRR (2024)
Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang
Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. CoRR (2023)
Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang
Learning to Binarize Continuous Features for Neuro-Rule Networks. IJCAI (2023)
Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, Wei Zhang
Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing. ACM Trans. Inf. Syst. 41 (4) (2023)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD (2023)
Renrong Shao, Wei Zhang, Jun Wang
Conditional pseudo-supervised contrast for data-Free knowledge distillation. Pattern Recognit. 143 (2023)
Yuang Liu, Wei Zhang, Jun Wang
Self-Decoupling and Ensemble Distillation for Efficient Segmentation. AAAI (2023)
Wei Zhang, Xin Lai, Jianyong Wang
Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Learning Interpretable Rules for Scalable Data Representation and Classification. CoRR (2023)
Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. CIKM (2023)
Wenwei Liang, Wei Zhang
Learning Social Relations and Spatiotemporal Trajectories for Next Check-in Inference. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. 33 (10) (2022)
Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui
Is it fair? Resource allocation for differentiated services on demands. ICWS (2022)
Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
Attentive Representation Learning With Adversarial Training for Short Text Clustering. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
Effective Few-Shot Named Entity Linking by Meta-Learning. ICDE (2022)
Yuang Liu, Wei Zhang, Jun Wang
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. AAAI (2022)
Wei Zhang, Junbing Yan, Zhuo Wang, Jianyong Wang
Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation. WWW (2022)
Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang
Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. ACM Trans. Inf. Syst. 40 (2) (2022)
Yuanyuan Jin, Wendi Ji, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (5) (2022)
Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
Effective Few-Shot Named Entity Linking by Meta-Learning. CoRR (2022)
Yuang Liu, Wei Zhang, Jun Wang
Zero-Shot Adversarial Quantization. CVPR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Source-Free Domain Adaptation for Semantic Segmentation. CVPR (2021)
Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CoRR (2021)
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
Graph-Based Tri-Attention Network for Answer Ranking in CQA. CoRR (2021)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Scalable Rule-Based Representation Learning for Interpretable Classification. CoRR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Adaptive Multi-Teacher Multi-level Knowledge Distillation. CoRR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Source-Free Domain Adaptation for Semantic Segmentation. CoRR (2021)
Yankai Wang, Dawei Yang, Wei Zhang, Zhe Jiang, Wenqiang Zhang
Adaptable Ensemble Distillation. ICASSP (2021)
Chuanfa Zhang, Wei Zhang, Feiyu Chen, Yiting Cheng, Shuyong Gao, Wenqiang Zhang
Global Cognition and Local Perception Network for Blind Image Deblurring. MMM (1) (2021)
Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
Graph-Based Tri-Attention Network for Answer Ranking in CQA. AAAI (2021)
Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang
Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. DASFAA (3) (2021)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS (2021)
Wei Zhang, Xin Lai, Jianyong Wang
Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories. CoRR (2021)
Yuang Liu, Wei Zhang, Jun Wang
Zero-shot Adversarial Quantization. CoRR (2021)
Shuyong Gao, Qianyu Guo, Wei Zhang, Wenqiang Zhang, Zhongwei Ji
Dual-Stream Network Based On Global Guidance for Salient Object Detection. ICASSP (2021)
Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CIKM (2021)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. AAAI (2020)
Yuang Liu, Wei Zhang, Jun Wang
Learning from a Lightweight Teacher for Efficient Knowledge Distillation. CoRR (2020)
Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. ICDE (2020)
Wei Shen, Wei Zhang, Jianhua Yin, Jianyong Wang
Editorial of Special Issue of ICDM 2019. Data Sci. Eng. 5 (2) (2020)
Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. CoRR (2020)
Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang
Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. DASFAA (1) (2020)
Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha
Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR (2020)
Yuang Liu, Wei Zhang, Jun Wang
Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing 415 (2020)
Qianming Xue, Wei Zhang, Hongyuan Zha
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. CoRR (2020)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. CoRR (2020)
Yihong Zhang, Wei Zhang
Improved Representations for Personalized Document-Level Sentiment Classification. DASFAA (1) (2020)
Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. AAAI (2020)
Jianqiang Peng, Xinlei Li, Dawei Yang, Yingtao Zhang, Wei Zhang, Ye Zhang, Yajie Kong, Fufeng Li, Wenqiang Zhang
Automatic Tongue Crack Extraction For Real-Time Diagnosis. BIBM (2020)
Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. WWW (2020)
Wen Wang, Wei Zhang, Wei Feng, Hongyuan Zha
Sequential Multi-fusion Network for Multi-channel Video CTR Prediction. DASFAA (3) (2020)
Xin Lai, Yihong Zhang, Wei Zhang
HyFea: Winning Solution to Social Media Popularity Prediction for Multimedia Grand Challenge 2020. ACM Multimedia (2020)
Qingyue Xiong, Xinlei Li, Dawei Yang, Wei Zhang, Ye Zhang, Yajie Kong, Fufeng Li, Wenqiang Zhang
Multi-scale Generative Adversarial Network for Automatic Sublingual Vein Segmentation. BIBM (2020)
Bowen Xu, Yankai Wang, Dawei Yang, Wei Zhang, Ye Zhang, Yajie Kong, Wenqiang Zhang
Maximal Information Complemented Refinement Network for Gland Instance Segmentation. BIBM (2020)
Qianming Xue, Wei Zhang, Hongyuan Zha
Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. AAAI (2020)
Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE (2019)
Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
Attentive Representation Learning with Adversarial Training for Short Text Clustering. CoRR (2019)
Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang
A Novel Hybrid Sequential Model for Review-Based Rating Prediction. PAKDD (1) (2019)
Lu Wang, Wei Zhang, Xiaofeng He
Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning. DASFAA (2) (2019)
Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. CoRR (2019)
Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du
Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. CIKM (2019)
Xiaojie Liu, Xiaoqiang Lv, Xiaoling Wang, Wei Zhang, An Zhao
基于维基百科类别图的推特用户兴趣挖掘 (Mining User Interests on Twitter Using Wikipedia Category Graph). 计算机科学 46 (9) (2019)
Zeyuan Chen, Kai Xu, Wei Zhang
Content-Based Video Relevance Prediction with Multi-view Multi-level Deep Interest Network. ACM Multimedia (2019)
Wenwei Liang, Wei Zhang, Xiaoling Wang
Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction. DASFAA (3) (2019)
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
Learning Robust Representations with Graph Denoising Policy Network. ICDM (2019)
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
Learning Robust Representations with Graph Denoising Policy Network. CoRR (2019)
Zhicheng Sheng, Danping Wu, Zelong Li, Wei Zhang, Jingchen Lu, Zeming Xu, Dong Liu, Shuo Guo, Yantao Jia, Zhepei Wei, Erxing Yu, Xiongfeng Xiao, Zhuo Wang, Jianyong Wang
The Poisson multi-media knowledge construction System for TAC KBP 2018. TAC (2018)
Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
Personalized Prescription for Comorbidity. DASFAA (2) (2018)
Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang
Model-based Clustering of Short Text Streams. KDD (2018)
Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. CoRR (2018)
Wen Wang, Wei Zhang, Jun Wang
Factorization Meets Memory Network: Learning to Predict Activity Popularity. DASFAA (2) (2018)
Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. KDD (2018)
Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha
User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. WWW (2018)
Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. CoRR (2018)
Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. KDD (2018)
Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction. CIKM (2018)
Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha
Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. SIGIR (2018)
Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang
Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. AAAI (2018)
Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI (2018)
Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han
PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. WSDM (2017)
Wen Wang, Wei Zhang
Combining Multiple Features for Image Popularity Prediction in Social Media. ACM Multimedia (2017)
Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang
Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering. CoRR (2017)
Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang
Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction. IJCAI (2016)
Wei Zhang, Jianyong Wang
Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction. IEEE Trans. Knowl. Data Eng. 28 (11) (2016)
Wei Zhang, Jianyong Wang
A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation. KDD (2015)
Wei Zhang, Jianyong Wang
Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation. CIKM (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wei Zhang