Wei Zhang - RankMe

153 papers A* 43A 9Misc 1Journal 80Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Attention Residual Fusion Network With Contrast for Source-Free Domain Adaptation. IEEE Trans. Circuits Syst. Video Technol. Renrong Shao, Wei Zhang, Jun Wang
2026	J	`jnl`	QuitoBench: A High-Quality Open Time Series Forecasting Benchmark. CoRR Siqiao Xue, Zhaoyang Zhu, Wei Zhang, Rongyao Cai, Rui Wang, Yixiang Mu, Fan Zhou, Jianguo Li, Peng Di, Hang Yu
2025	—	`conf`	A Dual-Fusion Cognitive Diagnosis Framework for Open Student Learning Environments. KDD (2) Yuanhao Liu, Shuo Liu, Yimeng Liu, Chanjin Zheng, Wei Zhang, Hong Qian
2025	J	`jnl`	Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation. CoRR Minhao Wang, Yunhang He, Cong Xu, Zhangchi Zhu, Wei Zhang
2025	A*	`conf`	Coherency Improved Explainable Recommendation via Large Language Model. AAAI Shijie Liu, Ruixin Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang
2025	J	`jnl`	Coherency Improved Explainable Recommendation via Large Language Model. CoRR Shijie Liu, Ruixing Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang
2025	—	`conf`	Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information. KDD (2) Yunhang He, Cong Xu, Jun Wang, Wei Zhang
2025	J	`jnl`	Collaborative Filtering Meets Spectrum Shift: Connecting User-Item Interaction with Graph-Structured Side Information. CoRR Yunhang He, Cong Xu, Jun Wang, Wei Zhang
2025	J	`jnl`	Consistent Assistant Domains Transformer for Source-Free Domain Adaptation. IEEE Trans. Image Process. Renrong Shao, Wei Zhang, Kangyang Luo, Qin Li, Jun Wang
2025	J	`jnl`	Consistent Assistant Domains Transformer for Source-free Domain Adaptation. CoRR Renrong Shao, Wei Zhang, Kangyang Luo, Qin Li, Jun Wang
2025	J	`jnl`	Every Sample Matters: Leveraging Mixture-of-Experts and High-Quality Data for Efficient and Accurate Code LLM. CoRR Codefuse, Wenting Cai, Yuchen Cao, Chaoyu Chen, Chen Chen, Siba Chen, Qing Cui, Peng Di, Junpeng Fang, Zi Gong, Ting Guo, Zhengyu He, Yang Huang, Cong Li, Jianguo Li, Zheng Li, Shijie Lian, Bingchang Liu, Songshan Luo, Shuo Mao, Min Shen, Jian Wu, Jiaolong Yang, Wenjie Yang, Tong Ye, Hang Yu, Wei Zhang, Zhenduo Zhang, Hailin Zhao, Xunjin Zheng, Jun Zhou
2025	J	`jnl`	Explainable Session-Based Recommendation via Path Reasoning. IEEE Trans. Knowl. Data Eng. Yang Cao, Shuo Shang, Jun Wang, Wei Zhang
2025	—	`conf`	Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective. KDD (1) Zhangchi Zhu, Wei Zhang
2025	—	`conf`	Incomplete Multi-View Drug Recommendation via Multi-Level Representation Learning and Curriculum Learning. KDD (2) Ning Liu, Yunsen Tang, Haitao Yuan, Hongtao Lv, Lili Jiang, Zhen Li, Wei Zhang, Jianyong Wang
2025	—	`conf`	LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios. ACL (1) Xiaodong Wu, Minhao Wang, Yichen Liu, Xiaoming Shi, He Yan, Xiangju Li, Junmin Zhu, Wei Zhang
2025	J	`jnl`	Pattern-Wise Transparent Sequential Recommendation. IEEE Trans. Knowl. Data Eng. Kun Ma, Cong Xu, Zeyuan Chen, Wei Zhang
2025	J	`jnl`	Preference-Consistent Knowledge Distillation for Recommender System. IEEE Trans. Knowl. Data Eng. Zhangchi Zhu, Wei Zhang
2025	J	`jnl`	Pushing the Limits of Low-Bit Optimizers: A Focus on EMA Dynamics. CoRR Cong Xu, Wenbin Liang, Mo Yu, Anan Liu, Ke-Yue Zhang, Lizhuang Ma, Jianyong Wang, Jun Wang, Wei Zhang
2025	J	`jnl`	Rebalancing Discriminative Responses for Knowledge Tracing. ACM Trans. Inf. Syst. Jiajun Cui, Hong Qian, Chanjin Zheng, Lu Wang, Mo Yu, Wei Zhang
2025	A*	`conf`	STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. AAAI Cong Xu, Yunhang He, Jun Wang, Wei Zhang
2025	—	`conf`	Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. COLING (Industry) Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang
2025	J	`jnl`	Understanding Adversarial Robustness From Feature Maps of Convolutional Layers. IEEE Trans. Neural Networks Learn. Syst. Cong Xu, Wei Zhang, Jun Wang, Min Yang
2024	J	`jnl`	A Comprehensive Exploration of Personalized Learning in Smart Education: From Student Modeling to Personalized Recommendations. CoRR Siyu Wu, Yang Cao, Jiajun Cui, Runze Li, Hong Qian, Bo Jiang, Wei Zhang
2024	J	`jnl`	Are LLM-based Recommenders Already the Best? Simple Scaled Cross-entropy Unleashes the Potential of Traditional Sequential Recommenders. CoRR Cong Xu, Zhangchi Zhu, Mo Yu, Jun Wang, Jianyong Wang, Wei Zhang
2024	J	`jnl`	CAdam: Confidence-Based Optimization for Online Learning. CoRR Shaowen Wang, Anan Liu, Jian Xiao, Huan Liu, Yuekui Yang, Cong Xu, Qianqian Pu, Suncong Zheng, Wei Zhang, Jian Li
2024	J	`jnl`	CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels. CoRR Lingxiao Wei, He Yan, Xiangju Lu, Junmin Zhu, Jun Wang, Wei Zhang
2024	A*	`conf`	Capturing Homogeneous Influence among Students: Hypergraph Cognitive Diagnosis for Intelligent Education Systems. KDD Junhao Shen, Hong Qian, Shuo Liu, Wei Zhang, Bo Jiang, Aimin Zhou
2024	J	`jnl`	Contrastive Learning with Negative Sampling Correction. CoRR Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
2024	J	`jnl`	Contrastive Personalized Exercise Recommendation With Reinforcement Learning. IEEE Trans. Learn. Technol. Siyu Wu, Jun Wang, Wei Zhang
2024	—	`conf`	D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. ACL (1) Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
2024	J	`jnl`	D2LLM: Decomposed and Distilled Large Language Models for Semantic Search. CoRR Zihan Liao, Hang Yu, Jianguo Li, Jun Wang, Wei Zhang
2024	Misc	`conf`	DMT: Comprehensive Distillation with Multiple Self-Supervised Teachers. ICASSP Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
2024	A	`conf`	DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting. CIKM Ruixin Ding, Yuqi Chen, Yu-Ting Lan, Wei Zhang
2024	J	`jnl`	DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting. CoRR Ruixin Ding, Yuqi Chen, Yu-Ting Lan, Wei Zhang
2024	J	`jnl`	Data-free Knowledge Distillation for Fine-grained Visual Categorization. CoRR Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang
2024	A	`conf`	Dynamic Token-Pass Transformers for Semantic Segmentation. WACV Yuang Liu, Qiang Zhou, Jing Wang, Zhibin Wang, Fan Wang, Jun Wang, Wei Zhang
2024	J	`jnl`	Estimating Difficulty Levels of Programming Problems with Pre-trained Model. CoRR Zhiyuan Wang, Wei Zhang, Jun Wang
2024	—	`conf`	Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2024	J	`jnl`	Explainable Session-based Recommendation via Path Reasoning. CoRR Yang Cao, Shuo Shang, Jun Wang, Wei Zhang
2024	A*	`conf`	Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. NeurIPS Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
2024	J	`jnl`	Improving the performance and explainability of knowledge tracing via Markov blanket. Inf. Process. Manag. Bo Jiang, Yuang Wei, Ting Zhang, Wei Zhang
2024	A*	`conf`	Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. ICDE Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang
2024	J	`jnl`	Knowledge-Aware Collaborative Filtering With Pre-Trained Language Model for Personalized Review-Based Rating Prediction. IEEE Trans. Knowl. Data Eng. Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei Zhang
2024	J	`jnl`	Learning Interpretable Rules for Scalable Data Representation and Classification. IEEE Trans. Pattern Anal. Mach. Intell. Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2024	A*	`conf`	Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. KDD Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
2024	J	`jnl`	Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing. CoRR Jiajun Cui, Hong Qian, Bo Jiang, Wei Zhang
2024	J	`jnl`	Modeling Dynamic Item Tendency Bias in Sequential Recommendation With Causal Intervention. IEEE Trans. Knowl. Data Eng. Zihan Liao, Xiaodong Wu, Shuo Shang, Jun Wang, Wei Zhang
2024	J	`jnl`	Pattern-wise Transparent Sequential Recommendation. CoRR Kun Ma, Cong Xu, Zeyuan Chen, Wei Zhang
2024	J	`jnl`	STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation. CoRR Cong Xu, Yunhang He, Jun Wang, Wei Zhang
2024	J	`jnl`	StableGCN: Decoupling and Reconciling Information Propagation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Cong Xu, Jun Wang, Wei Zhang
2024	A*	`conf`	Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. AAAI Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou
2024	J	`jnl`	Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems. CoRR Junhao Shen, Hong Qian, Wei Zhang, Aimin Zhou
2024	J	`jnl`	Towards Boosting LLMs-driven Relevance Modeling with Progressive Retrieved Behavior-augmented Prompting. CoRR Zeyuan Chen, Haiyan Wu, Kaixin Wu, Wei Chen, Mingjie Zhong, Jia Xu, Zhongyi Liu, Wei Zhang
2024	J	`jnl`	Understanding the Role of Cross-Entropy Loss in Fairly Evaluating Large Language Model-based Recommendation. CoRR Cong Xu, Zhangchi Zhu, Jun Wang, Jianyong Wang, Wei Zhang
2023	A	`conf`	Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. CIKM Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang
2023	J	`jnl`	Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised Learning. CoRR Zeyuan Chen, Wei Chen, Jia Xu, Zhongyi Liu, Wei Zhang
2023	J	`jnl`	Can LLMs like GPT-4 outperform traditional AI tools in dementia diagnosis? Maybe, but not today. CoRR Zhuo Wang, Rongzhen Li, Bowen Dong, Jie Wang, Xiuxing Li, Ning Liu, Chenhui Mao, Wei Zhang, Liling Dong, Jing Gao, Jianyong Wang
2023	J	`jnl`	Conditional pseudo-supervised contrast for data-Free knowledge distillation. Pattern Recognit. Renrong Shao, Wei Zhang, Jun Wang
2023	J	`jnl`	DMT: Comprehensive Distillation with Multiple Self-supervised Teachers. CoRR Yuang Liu, Jing Wang, Qiang Zhou, Fan Wang, Jun Wang, Wei Zhang
2023	A*	`conf`	Data-free Knowledge Distillation for Fine-grained Visual Categorization. ICCV Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang
2023	J	`jnl`	Dynamic Token-Pass Transformers for Semantic Segmentation. CoRR Yuang Liu, Qiang Zhou, Jing Wang, Fan Wang, Jun Wang, Wei Zhang
2023	J	`jnl`	Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. CoRR Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2023	J	`jnl`	Fine-Grained Interaction Modeling with Multi-Relational Transformer for Knowledge Tracing. ACM Trans. Inf. Syst. Jiajun Cui, Zeyuan Chen, Aimin Zhou, Jianyong Wang, Wei Zhang
2023	J	`jnl`	Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution. CoRR Cong Xu, Jun Wang, Jianyong Wang, Wei Zhang
2023	J	`jnl`	Incorporating Link Prediction into Multi-Relational Item Graph Modeling for Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2023	J	`jnl`	Interpretable Knowledge Tracing via Response Influence-based Counterfactual Reasoning. CoRR Jiajun Cui, Minghe Yu, Bo Jiang, Aimin Zhou, Jianyong Wang, Wei Zhang
2023	J	`jnl`	Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction. CoRR Quanxiu Wang, Xinlei Cao, Jianyong Wang, Wei Zhang
2023	J	`jnl`	Learning Interpretable Rules for Scalable Data Representation and Classification. CoRR Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2023	J	`jnl`	Learning Social Relations and Spatiotemporal Trajectories for Next Check-in Inference. IEEE Trans. Neural Networks Learn. Syst. Wenwei Liang, Wei Zhang
2023	A*	`conf`	Learning to Binarize Continuous Features for Neuro-Rule Networks. IJCAI Wei Zhang, Yongxiang Liu, Zhuo Wang, Jianyong Wang
2023	A*	`conf`	Quantize Sequential Recommenders Without Private Data. WWW Lingfeng Shi, Yuang Liu, Jun Wang, Wei Zhang
2023	A*	`conf`	Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023	J	`jnl`	Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
2023	A*	`conf`	Self-Decoupling and Ensemble Distillation for Efficient Segmentation. AAAI Yuang Liu, Wei Zhang, Jun Wang
2023	J	`jnl`	Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories. IEEE Trans. Neural Networks Learn. Syst. Wei Zhang, Xin Lai, Jianyong Wang
2022	J	`jnl`	A KG-Enhanced Multi-Graph Neural Network for Attentive Herb Recommendation. IEEE ACM Trans. Comput. Biol. Bioinform. Yuanyuan Jin, Wendi Ji, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
2022	J	`jnl`	Attentive Representation Learning With Adversarial Training for Short Text Clustering. IEEE Trans. Knowl. Data Eng. Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
2022	A*	`conf`	Effective Few-Shot Named Entity Linking by Meta-Learning. ICDE Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
2022	J	`jnl`	Effective Few-Shot Named Entity Linking by Meta-Learning. CoRR Xiuxing Li, Zhenyu Li, Zhengyan Zhang, Ning Liu, Haitao Yuan, Wei Zhang, Zhiyuan Liu, Jianyong Wang
2022	J	`jnl`	Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. IEEE Trans. Neural Networks Learn. Syst. Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo
2022	A	`conf`	Is it fair? Resource allocation for differentiated services on demands. ICWS Ran Zhang, Ning Liu, Lei Liu, Wei Zhang, Haitao Yuan, Mianxiong Dong, Lizhen Cui
2022	J	`jnl`	Learning from Substitutable and Complementary Relations for Graph-based Sequential Product Recommendation. ACM Trans. Inf. Syst. Wei Zhang, Zeyuan Chen, Hongyuan Zha, Jianyong Wang
2022	A*	`conf`	Multi-Knowledge Aggregation and Transfer for Semantic Segmentation. AAAI Yuang Liu, Wei Zhang, Jun Wang
2022	J	`jnl`	Multi-View Pre-Trained Model for Code Vulnerability Identification. CoRR Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang
2022	—	`conf`	Multi-view Pre-trained Model for Code Vulnerability Identification. WASA (3) Xuxiang Jiang, Yinhao Xiao, Jun Wang, Wei Zhang
2022	A*	`conf`	Neuro-Symbolic Interpretable Collaborative Filtering for Attribute-based Recommendation. WWW Wei Zhang, Junbing Yan, Zhuo Wang, Jianyong Wang
2021	J	`jnl`	Adaptive Multi-Teacher Multi-level Knowledge Distillation. CoRR Yuang Liu, Wei Zhang, Jun Wang
2021	J	`jnl`	Data-Free Knowledge Transfer: A Survey. CoRR Yuang Liu, Wei Zhang, Jun Wang, Jianyong Wang
2021	A*	`conf`	Graph-Based Tri-Attention Network for Answer Ranking in CQA. AAAI Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
2021	J	`jnl`	Graph-Based Tri-Attention Network for Answer Ranking in CQA. CoRR Wei Zhang, Zeyuan Chen, Chao Dong, Wen Wang, Hongyuan Zha, Jianyong Wang
2021	—	`conf`	IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. NeurIPS Datasets and Benchmarks Pan Lu, Liang Qiu, Jiaqi Chen, Tanglin Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu
2021	J	`jnl`	IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning. CoRR Pan Lu, Liang Qiu, Jiaqi Chen, Tony Xia, Yizhou Zhao, Wei Zhang, Zhou Yu, Xiaodan Liang, Song-Chun Zhu
2021	A	`conf`	Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CIKM Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
2021	J	`jnl`	Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation. CoRR Zeyuan Chen, Wei Zhang, Junchi Yan, Gang Wang, Jianyong Wang
2021	A*	`conf`	Scalable Rule-Based Representation Learning for Interpretable Classification. NeurIPS Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2021	J	`jnl`	Scalable Rule-Based Representation Learning for Interpretable Classification. CoRR Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2021	J	`jnl`	Social Link Inference via Multi-View Matching Network from Spatio-Temporal Trajectories. CoRR Wei Zhang, Xin Lai, Jianyong Wang
2021	A*	`conf`	Source-Free Domain Adaptation for Semantic Segmentation. CVPR Yuang Liu, Wei Zhang, Jun Wang
2021	J	`jnl`	Source-Free Domain Adaptation for Semantic Segmentation. CoRR Yuang Liu, Wei Zhang, Jun Wang
2021	—	`conf`	Susceptible Temporal Patterns Discovery for Electronic Health Records via Adversarial Attack. DASFAA (3) Rui Zhang, Wei Zhang, Ning Liu, Jianyong Wang
2021	A*	`conf`	Zero-Shot Adversarial Quantization. CVPR Yuang Liu, Wei Zhang, Jun Wang
2021	J	`jnl`	Zero-shot Adversarial Quantization. CoRR Yuang Liu, Wei Zhang, Jun Wang
2020	J	`jnl`	Adaptive multi-teacher multi-level knowledge distillation. Neurocomputing Yuang Liu, Wei Zhang, Jun Wang
2020	A*	`conf`	Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. WWW Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	J	`jnl`	Beyond Clicks: Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction. CoRR Wen Wang, Wei Zhang, Shukai Liu, Qi Liu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	—	`conf`	Coupled Graph Convolutional Neural Networks for Text-Oriented Clinical Diagnosis Inference. DASFAA (1) Ning Liu, Wei Zhang, Xiuxing Li, Haitao Yuan, Jianyong Wang
2020	J	`jnl`	Editorial of Special Issue of ICDM 2019. Data Sci. Eng. Wei Shen, Wei Zhang, Jianhua Yin, Jianyong Wang
2020	A*	`conf`	Group-Aware Long- and Short-Term Graph Representation Learning for Sequential Group Recommendation. SIGIR Wen Wang, Wei Zhang, Jun Rao, Zhijie Qiu, Bo Zhang, Leyu Lin, Hongyuan Zha
2020	A*	`conf`	HyFea: Winning Solution to Social Media Popularity Prediction for Multimedia Grand Challenge 2020. ACM Multimedia Xin Lai, Yihong Zhang, Wei Zhang
2020	—	`conf`	Improved Representations for Personalized Document-Level Sentiment Classification. DASFAA (1) Yihong Zhang, Wei Zhang
2020	A*	`conf`	Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. AAAI Qianming Xue, Wei Zhang, Hongyuan Zha
2020	J	`jnl`	Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning. CoRR Qianming Xue, Wei Zhang, Hongyuan Zha
2020	A*	`conf`	Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption. AAAI Wei Zhang, Yue Ying, Pan Lu, Hongyuan Zha
2020	J	`jnl`	Learning from a Lightweight Teacher for Efficient Knowledge Distillation. CoRR Yuang Liu, Wei Zhang, Jun Wang
2020	—	`conf`	Sequential Multi-fusion Network for Multi-channel Video CTR Prediction. DASFAA (3) Wen Wang, Wei Zhang, Wei Feng, Hongyuan Zha
2020	A*	`conf`	Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. ICDE Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
2020	J	`jnl`	Syndrome-aware Herb Recommendation with Multi-Graph Convolution Network. CoRR Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
2020	A*	`conf`	Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. AAAI Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2019	—	`conf`	A Novel Hybrid Sequential Model for Review-Based Rating Prediction. PAKDD (1) Yuanquan Lu, Wei Zhang, Pan Lu, Jianyong Wang
2019	J	`jnl`	Attentive Representation Learning with Adversarial Training for Short Text Clustering. CoRR Wei Zhang, Chao Dong, Jianhua Yin, Jianyong Wang
2019	A*	`conf`	Content-Based Video Relevance Prediction with Multi-view Multi-level Deep Interest Network. ACM Multimedia Zeyuan Chen, Kai Xu, Wei Zhang
2019	—	`conf`	Continuous Patient-Centric Sequence Generation via Sequentially Coupled Adversarial Learning. DASFAA (2) Lu Wang, Wei Zhang, Xiaofeng He
2019	—	`conf`	Deep Sequential Multi-task Modeling for Next Check-in Time and Location Prediction. DASFAA (3) Wenwei Liang, Wei Zhang, Xiaoling Wang
2019	A	`conf`	Forecasting Pavement Performance with a Feature Fusion LSTM-BPNN Model. CIKM Yushun Dong, Yingxia Shao, Xiaotong Li, Sili Li, Lei Quan, Wei Zhang, Junping Du
2019	A*	`conf`	Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction. ICDE Ning Liu, Pan Lu, Wei Zhang, Jianyong Wang
2019	A*	`conf`	Learning Robust Representations with Graph Denoising Policy Network. ICDM Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Learning Robust Representations with Graph Denoising Policy Network. CoRR Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen
2019	J	`jnl`	Transparent Classification with Multilayer Logical Perceptrons and Random Binarization. CoRR Zhuo Wang, Wei Zhang, Ning Liu, Jianyong Wang
2019	J	`jnl`	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 Xiaojie Liu, Xiaoqiang Lv, Xiaoling Wang, Wei Zhang, An Zhao
2018	A*	`conf`	Co-Attending Free-Form Regions and Detections With Multi-Modal Multiplicative Feature Embedding for Visual Question Answering. AAAI Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang
2018	—	`conf`	Factorization Meets Memory Network: Learning to Predict Activity Popularity. DASFAA (2) Wen Wang, Wei Zhang, Jun Wang
2018	A	`conf`	Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction. CIKM Huizhe Wu, Wei Zhang, Weiwei Shen, Jun Wang
2018	A*	`conf`	Learning Sequential Correlation for User Generated Textual Content Popularity Prediction. IJCAI Wen Wang, Wei Zhang, Jun Wang, Junchi Yan, Hongyuan Zha
2018	A*	`conf`	Learning to Detect Pathogenic Microorganism of Community-acquired Pneumonia. SIGIR Wenwei Liang, Wei Zhang, Bo Jin, Jiangjiang Xu, Linhua Shu, Hongyuan Zha
2018	A*	`conf`	Model-based Clustering of Short Text Streams. KDD Jianhua Yin, Daren Chao, Zhongkun Liu, Wei Zhang, Xiaohui Yu, Jianyong Wang
2018	—	`conf`	Personalized Prescription for Comorbidity. DASFAA (2) Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
2018	A*	`conf`	R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. KDD Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang
2018	J	`jnl`	R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question Answering. CoRR Pan Lu, Lei Ji, Wei Zhang, Nan Duan, Ming Zhou, Jianyong Wang
2018	A*	`conf`	Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. KDD Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
2018	J	`jnl`	Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation. CoRR Lu Wang, Wei Zhang, Xiaofeng He, Hongyuan Zha
2018	—	`conf`	The Poisson multi-media knowledge construction System for TAC KBP 2018. TAC 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
2018	A*	`conf`	User-guided Hierarchical Attention Network for Multi-modal Social Image Popularity Prediction. WWW Wei Zhang, Wen Wang, Jun Wang, Hongyuan Zha
2017	J	`jnl`	Co-attending Free-form Regions and Detections with Multi-modal Multiplicative Feature Embedding for Visual Question Answering. CoRR Pan Lu, Hongsheng Li, Wei Zhang, Jianyong Wang, Xiaogang Wang
2017	A*	`conf`	Combining Multiple Features for Image Popularity Prediction in Social Media. ACM Multimedia Wen Wang, Wei Zhang
2017	A	`conf`	PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. WSDM Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han
2016	A*	`conf`	Collaborative Multi-Level Embedding Learning from Reviews for Rating Prediction. IJCAI Wei Zhang, Quan Yuan, Jiawei Han, Jianyong Wang
2016	J	`jnl`	Integrating Topic and Latent Factors for Scalable Personalized Review-based Rating Prediction. IEEE Trans. Knowl. Data Eng. Wei Zhang, Jianyong Wang
2015	A*	`conf`	A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation. KDD Wei Zhang, Jianyong Wang
2015	A	`conf`	Location and Time Aware Social Collaborative Retrieval for New Successive Point-of-Interest Recommendation. CIKM Wei Zhang, Jianyong Wang
2015	A*	`conf`	Prior-Based Dual Additive Latent Dirichlet Allocation for User-Item Connected Documents. IJCAI Wei Zhang, Jianyong Wang
2015	A*	`conf`	STREAMCUBE: Hierarchical spatio-temporal hashtag clustering for event exploration over the Twitter stream. ICDE Wei Feng, Chao Zhang, Wei Zhang, Jiawei Han, Jianyong Wang, Charu C. Aggarwal, Jianbin Huang
2013	A*	`conf`	Combining latent factor model with location features for event-based group recommendation. KDD Wei Zhang, Jianyong Wang, Wei Feng
2013	A*	`conf`	Integrating Semantic Relatedness and Words' Intrinsic Features for Keyword Extraction. IJCAI Wei Zhang, Wei Feng, Jianyong Wang