Le Wu

According to our database, Le Wu authored at least 150 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hyperbolic Graph Learning for Social Recommendation.

Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang

IEEE Trans. Knowl. Data Eng., December, 2024

Description-Enhanced Label Embedding Contrastive Learning for Text Classification.

Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Dual Graph Neural Networks for Dynamic Users' Behavior Prediction on Social Networking Services.

Junwei Li, Le Wu, Yulu Du, Richang Hong, Weisheng Li

IEEE Trans. Comput. Soc. Syst., October, 2024

Dual-Rail Precharge Logic-Based Side-Channel Countermeasure for DNN Systolic Array.

Le Wu, Liji Wu, Xiangmin Zhang, Munkhbaatar Chinbat

IEEE Trans. Very Large Scale Integr. Syst., September, 2024

Average User-Side Counterfactual Fairness for Collaborative Filtering.

Pengyang Shao, Le Wu, Kun Zhang, Defu Lian, Richang Hong, Yong Li, Meng Wang

ACM Trans. Inf. Syst., September, 2024

FDKT: Towards an Interpretable Deep Knowledge Tracing via Fuzzy Reasoning.

Fei Liu, Chenyang Bu, Haotian Zhang, Le Wu, Kui Yu, Xuegang Hu

ACM Trans. Inf. Syst., September, 2024

Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering.

Peijie Sun, Le Wu, Kun Zhang, Xiangzhi Chen, Meng Wang

IEEE Trans. Knowl. Data Eng., May, 2024

Global and local neural cognitive modeling for student performance prediction.

Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang

Expert Syst. Appl., March, 2024

Color Enhanced Cross Correlation Net for Image Sentiment Analysis.

Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen

IEEE Trans. Multim., 2024

PromptGCN: Bridging Subgraph Gaps in Lightweight GCNs.

Shengwei Ji, Yujie Tian, Fei Liu, Xinlu Li, Le Wu

CoRR, 2024

Boosting Multimedia Recommendation via Separate Generic and Unique Awareness.

Zhuangzhuang He, Zihan Wang, Yonghui Yang, Haoyue Bai, Le Wu

CoRR, 2024

IFM calculator: An algorithm for interfragmentary motion calculation in finite element analysis.

Jun Sun, Le Wu, Nan Fang, Lifeng Liu

Comput. Methods Programs Biomed., 2024

Understanding and improving fairness in cognitive diagnosis.

Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen

Sci. China Inf. Sci., 2024

Label-aware debiased causal reasoning for Natural Language Inference.

Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang

AI Open, 2024

Enhancing EEG artifact removal through neural architecture search with large kernels.

Le Wu, Aiping Liu, Chang Li, Xun Chen

Adv. Eng. Informatics, 2024

Remaining Life Prediction of Bearings Based on Improved IF-SCINet.

Jing Zhang, Chao Zhang, Shuai Xu, Guiyi Liu, Hongbo Fei, Le Wu

IEEE Access, 2024

A New Lightweight Fault Diagnosis Framework Towards Variable Speed Rolling Bearings.

Guiyi Liu, Chao Zhang, Shuai Xu, Jing Zhang, Le Wu

IEEE Access, 2024

Multimodality Invariant Learning for Multimedia-Based New Item Recommendation.

Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, Meng Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Pass-Through ELSFP with Optional Integrated Optical Mux and Demux for Colorless CPO Systems.

Jingwei Liu, Zhan Su, Le Wu, Lei Shi, Lihua Chi, Xujun Pan, Sam Huang, Yu Ning, Zhigang Gong

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis.

Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Graph Bottlenecked Social Recommendation.

Yonghui Yang, Le Wu, Zihan Wang, Zhuangzhuang He, Richang Hong, Meng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Double Correction Framework for Denoising Recommendation.

Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, Min Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias.

Miaomiao Cai, Lei Chen, Yifan Wang, Haoyue Bai, Peijie Sun, Le Wu, Min Zhang, Meng Wang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Learning Fair Representations for Recommendation via Information Bottleneck Principle.

Junsong Xie, Yonghui Yang, Zihan Wang, Le Wu

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bots Shield Fake News: Adversarial Attack on User Engagement based Fake News Detection.

Lanjun Wang, Zehao Wang, Le Wu, An-An Liu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry.

Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu

J. Comput. Sci. Technol., December, 2023

Graph-Augmented Co-Attention Model for Socio-Sequential Recommendation.

Bin Wu, Xiangnan He, Le Wu, Xue Zhang, Yangdong Ye

IEEE Trans. Syst. Man Cybern. Syst., July, 2023

Signal Processing for Brain-Computer Interfaces: A review and current perspectives.

Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen

IEEE Signal Process. Mag., July, 2023

A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation.

Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

IEEE Trans. Knowl. Data Eng., May, 2023

MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation.

Kang Liu, Feng Xue, Dan Guo, Le Wu, Shujie Li, Richang Hong

ACM Trans. Inf. Syst., April, 2023

Silent Speech Recognition Based on High-Density Surface Electromyogram Using Hybrid Neural Networks.

Xi Chen, Yuanfei Xia, Yong Sun, Le Wu, Xiang Chen, Xun Chen, Xu Zhang

IEEE Trans. Hum. Mach. Syst., April, 2023

Automated Feature Selection: A Reinforcement Learning Perspective.

Kunpeng Liu, Yanjie Fu, Le Wu, Xiaolin Li, Charu Aggarwal, Hui Xiong

IEEE Trans. Knowl. Data Eng., March, 2023

LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching.

Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang

IEEE Trans. Neural Networks Learn. Syst., February, 2023

RNADisease v4.0: an updated resource of RNA-associated diseases, providing RNA-disease analysis, enrichment and prediction.

Jia Chen, Jiahao Lin, Yongfei Hu, Meijun Ye, Linhui Yao, Le Wu, Wenhai Zhang, Meiyi Wang, Tingting Deng, Feng Guo, Yan Huang, Bofeng Zhu, Dong Wang

Nucleic Acids Res., January, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.

Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu

AI Open, January, 2023

Data Augmentation for Seizure Prediction with Generative Diffusion Model.

Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen

CoRR, 2023

Improving Recommendation Fairness via Data Augmentation.

Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang

Proceedings of the ACM Web Conference 2023, 2023

Generative-Contrastive Graph Learning for Recommendation.

Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation.

Jie Shuai, Le Wu, Kun Zhang, Peijie Sun, Richang Hong, Meng Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

RecStudio: Towards a Highly-Modularized Recommender System.

Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information.

Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Disentangling Cognitive Diagnosis with Limited Exercise Labels.

Xiangzhi Chen, Le Wu, Fei Liu, Lei Chen, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GoRec: A Generative Cold-start Recommendation Framework.

Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Meta Multi-agent Exercise Recommendation: A Game Application Perspective.

Fei Liu, Xuegang Hu, Shuochen Liu, Chenyang Bu, Le Wu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation.

Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Fair Representation Learning for Recommendation: A Mutual Information Perspective.

Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation.

Peijie Sun, Le Wu, Kun Zhang, Yu Su, Meng Wang

ACM Trans. Inf. Syst., 2022

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation.

Le Wu, Junwei Li, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

IEEE Trans. Knowl. Data Eng., 2022

Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control.

Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

IEEE Trans. Instrum. Meas., 2022

Understanding the Users and Videos by Mining a Novel Danmu Dataset.

Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He

IEEE Trans. Big Data, 2022

Graph-based cognitive diagnosis for intelligent tutoring systems.

Yu Su, Zeyu Cheng, Jinze Wu, Yanmin Dong, Zhenya Huang, Le Wu, Enhong Chen, Shijin Wang, Fei Xie

Knowl. Based Syst., 2022

Rejecting Novel Motions in High-Density Myoelectric Pattern Recognition Using Hybrid Neural Networks.

Le Wu, Xun Chen, Xiang Chen, Xu Zhang

Frontiers Neurorobotics, 2022

FairCF: fairness-aware collaborative filtering.

Pengyang Shao, Le Wu, Lei Chen, Kun Zhang, Meng Wang

Sci. China Inf. Sci., 2022

Detecting the universal adversarial perturbations on high-density sEMG signals.

Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

Comput. Biol. Medicine, 2022

Multi-level Recommendation Reasoning over Knowledge Graphs with Reinforcement Learning.

Xiting Wang, Kunpeng Liu, Dongjie Wang, Le Wu, Yanjie Fu, Xing Xie

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

A Review-aware Graph Contrastive Learning Framework for Recommendation.

Jie Shuai, Kun Zhang, Le Wu, Peijie Sun, Richang Hong, Meng Wang, Yong Li

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

ProFairRec: Provider Fairness-aware News Recommendation.

Tao Qi, Fangzhao Wu, Chuhan Wu, Peijie Sun, Le Wu, Xiting Wang, Yongfeng Huang, Xing Xie

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Forest-based Deep Recommender.

Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering.

Minghao Zhao, Le Wu, Yile Liang, Lei Chen, Jian Zhang, Qilin Deng, Kai Wang, Xudong Shen, Tangjie Lv, Runze Wu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Incremental Cognitive Diagnosis for Intelligent Education.

Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Which Companies are Likely to Invest: Knowledge-graph-based Recommendation for Investment Promotion.

Chenyang Bu, Jiawei Zhang, Xingchen Yu, Le Wu, Xindong Wu

Proceedings of the IEEE International Conference on Data Mining, 2022

Self-Supervised Cross Domain Social Recommendation.

Suchang Luo, Yonghui Yang, Kun Zhang, Peijie Sun, Le Wu, Richang Hong

Proceedings of the ICCAI '22: 8th International Conference on Computing and Artificial Intelligence, Tianjin, China, March 18, 2022

Knowledge-Sensed Cognitive Diagnosis for Intelligent Education Platforms.

Haiping Ma, Manwei Li, Le Wu, Haifeng Zhang, Yunbo Cao, Xingyi Zhang, Xuemin Zhao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Relational Cognitive Diagnosis for Intelligent Education.

Kaifang Wu, Yonghui Yang, Kun Zhang, Le Wu, Jing Liu, Xin Li

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

Anisotropic Additive Quantization for Fast Inner Product Search.

Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.

Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Collaborative Neural Social Recommendation.

Le Wu, Peijie Sun, Richang Hong, Yong Ge, Meng Wang

IEEE Trans. Syst. Man Cybern. Syst., 2021

Deep Attributed Network Embedding by Preserving Structure and Attribute Information.

Richang Hong, Yuan He, Le Wu, Yong Ge, Xindong Wu

IEEE Trans. Syst. Man Cybern. Syst., 2021

Predicting personalized grouping and consumption: A collaborative evolution model.

Lu Yang, Ye-Zheng Liu, Yuanchun Jiang, Le Wu, Jianshan Sun

Knowl. Based Syst., 2021

Metric learning for novel motion rejection in high-density myoelectric pattern recognition.

Le Wu, Xu Zhang, Xuan Zhang, Xiang Chen, Xun Chen

Knowl. Based Syst., 2021

Hierarchical attention model for personalized tag recommendation.

Jianshan Sun, Mingyue Zhu, Yuanchun Jiang, Ye-Zheng Liu, Le Wu

J. Assoc. Inf. Sci. Technol., 2021

Random walk based distributed representation learning and prediction on Social Networking Services.

Junwei Li, Le Wu, Richang Hong, Jinkui Hou

Inf. Sci., 2021

LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching.

Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang

CoRR, 2021

A Survey on Neural Recommendation: From Collaborative Filtering to Content and Context Enriched Recommendation.

Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang

CoRR, 2021

Learning Fair Representations for Bipartite Graph based Recommendation.

Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

CoRR, 2021

Multiuser gesture recognition using sEMG signals via canonical correlation analysis and optimal transport.

Bo Xue, Le Wu, Kun Wang, Xu Zhang, Juan Cheng, Xiang Chen, Xun Chen

Comput. Biol. Medicine, 2021

Learning Fair Representations for Recommendation: A Graph-based Perspective.

Le Wu, Lei Chen, Pengyang Shao, Richang Hong, Xiting Wang, Meng Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Enhanced Graph Learning for Collaborative Filtering via Mutual Information Maximization.

Yonghui Yang, Le Wu, Richang Hong, Kun Zhang, Meng Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Privileged Graph Distillation for Cold Start Recommendation.

Shuai Wang, Kun Zhang, Le Wu, Haiping Ma, Richang Hong, Meng Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Set2setRank: Collaborative Set to Set Ranking for Implicit Feedback based Recommendation.

Lei Chen, Le Wu, Kun Zhang, Richang Hong, Meng Wang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

The Collocations of Chinese Color Words.

Shan Wang, Le Wu, Qiaomin Gong

Proceedings of the Chinese Lexical Semantics - 22nd Workshop, 2021

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion.

Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

White-Box Attacks on the CNN-Based Myoelectric Control System.

Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Meta-learned ID Embeddings for Online Inductive Recommendation.

Jingyu Peng, Le Wu, Peijie Sun, Meng Wang

Proceedings of the Information Retrieval - 27th China Conference, 2021

Modeling Dynamic Spatial Influence for Air Quality Prediction with Atmospheric Prior.

Dan Lu, Le Wu, Rui Chen, Qilong Han, Yichen Wang, Yong Ge

Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching.

Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students.

Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu

ACM Trans. Inf. Syst., 2020

A Hierarchical Attention Model for Social Contextual Image Recommendation.

Le Wu, Lei Chen, Richang Hong, Yanjie Fu, Xing Xie, Meng Wang

IEEE Trans. Knowl. Data Eng., 2020

A Joint Neural Model for User Behavior Prediction on Social Networking Platforms.

Junwei Li, Le Wu, Richang Hong, Kun Zhang, Yong Ge, Yan Li

ACM Trans. Intell. Syst. Technol., 2020

A Novel Postprocessing Method for Robust Myoelectric Pattern-Recognition Control Through Movement Pattern Transition Detection.

Bin Yu, Xu Zhang, Le Wu, Xiang Chen, Xun Chen

IEEE Trans. Hum. Mach. Syst., 2020

Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control.

Xu Zhang, Le Wu, Bin Yu, Xiang Chen, Xun Chen

IEEE Trans. Biomed. Eng., 2020

IDEA: A new dataset for image aesthetic scoring.

Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li

Multim. Tools Appl., 2020

Leveraging proficiency and preference for online Karaoke recommendation.

Ming He, Hao Guo, Guangyi Lv, Le Wu, Yong Ge, Enhong Chen, Haiping Ma

Frontiers Comput. Sci., 2020

R²-Net: Relation of Relation Learning Network for Sentence Semantic Matching.

Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan

CoRR, 2020

Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation.

Peijie Sun, Le Wu, Kun Zhang, Yanjie Fu, Richang Hong, Meng Wang

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Joint Item Recommendation and Attribute Inference: An Adaptive Graph Convolutional Network Approach.

Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, Yanjie Fu, Meng Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation.

Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Fine-Grained Similarity Measurement between Educational Videos and Exercises.

Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

A Text-Guided Graph Structure for Image Captioning.

Depeng Wang, Zhenzhen Hu, Yuanen Zhou, Xueliang Liu, Le Wu, Richang Hong

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020

The Collocations of Chinese Tactile Adjectives.

Shan Wang, Le Wu, Qiaomin Gong

Proceedings of the Chinese Lexical Semantics - 21st Workshop, 2020

ResFusion: A Residual Learning Based Fusion Framework for CTR Prediction.

Junmei Bao, Yangguang Ji, Yonghui Yang, Le Wu, Ruiji Fu

Proceedings of the Information Retrieval - 26th China Conference, 2020

Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection.

Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach.

Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Photo Aesthetic Scoring Through Spatial Aggregation Perception DCNN on a New IDEA Dataset.

Xin Jin, Le Wu, Geng Zhao, Xinghui Zhou, Xiaokun Zhang, Xiaodong Li

Proceedings of the Cognitive Internet of Things: Frameworks, Tools and Applications, 2019

Quality-Aware Unpaired Image-to-Image Translation.

Lei Chen, Le Wu, Zhenzhen Hu, Meng Wang

IEEE Trans. Multim., 2019

Secure face retrieval for group mobile users.

Xin Jin, Yujie Li, Shiming Ge, Chenggen Song, Le Wu, Xinghui Zhou

Soft Comput., 2019

ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation.

Xin Jin, Le Wu, Xiaodong Li, Xiaokun Zhang, Jingying Chi, Siwei Peng, Shiming Ge, Geng Zhao, Shuying Li

IET Comput. Vis., 2019

Two open-source projects for image aesthetic quality assessment.

Le Wu, Xin Jin, Geng Zhao, Xinghui Zhou

Sci. China Inf. Sci., 2019

Learning from visual content and style: an image-enhanced recommendation model.

Suchang Luo, Lei Chen, Le Wu

CCF Trans. Pervasive Comput. Interact., 2019

A Neural Influence Diffusion Model for Social Recommendation.

Le Wu, Peijie Sun, Yanjie Fu, Richang Hong, Xiting Wang, Meng Wang

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Context-Aware Dual-Attention Network for Natural Language Inference.

Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Aesthetic Attributes Assessment of Images.

Xin Jin, Le Wu, Geng Zhao, Xiaodong Li, Xiaokun Zhang, Shiming Ge, Dongqing Zou, Bin Zhou, Xinghui Zhou

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Automating Feature Subspace Exploration via Multi-Agent Reinforcement Learning.

Kunpeng Liu, Yanjie Fu, Pengfei Wang, Le Wu, Rui Bo, Xiaolin Li

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Personalized Multimedia Item and Key Frame Recommendation.

Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.

Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Visualized Evidences for Detecting Novelty in Myoelectric Pattern Recognition using 3D Convolutional Neural Networks.

Le Wu, Xu Zhang, Xiang Chen, Xun Chen

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Convolutional Neural Network with Data Augmentation for Robust Myoelectric Control.

Tong Luo, Xu Zhang, Le Wu, Xi Chen, Xiang Chen, Xun Chen

Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2019

DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching.

Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Efficient Region Embedding with Multi-View Spatial Networks: A Perspective of Locality-Constrained Spatial Autocorrelations.

Yanjie Fu, Pengyang Wang, Jiadi Du, Le Wu, Xiaolin Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Product Adoption Rate Prediction in a Competitive Market.

Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang

IEEE Trans. Knowl. Data Eng., 2018

Illuminating Recommendation by Understanding the Explicit Item Relations.

Qi Liu, Hongke Zhao, Le Wu, Zhi Li, En-Hong Chen

J. Comput. Sci. Technol., 2018

SocialGCN: An Efficient Graph Convolutional Network based Model for Social Recommendation.

Le Wu, Peijie Sun, Richang Hong, Yanjie Fu, Xiting Wang, Meng Wang

CoRR, 2018

Explainable Social Contextual Image Recommendation with Hierarchical Attention.

Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du

CoRR, 2018

Attentive Recurrent Social Recommendation.

Peijie Sun, Le Wu, Meng Wang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Predicting Aesthetic Radar Map Using a Hierarchical Multi-task Network.

Xin Jin, Le Wu, Xinghui Zhou, Geng Zhao, Xiaokun Zhang, Xiaodong Li, Shiming Ge

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

Contextual Attention Model for Social Recommendation.

Hongfeng Bao, Le Wu, Peijie Sun

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Zero-Shot Learning: An Energy Based Approach.

Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen

Proceedings of the IEEE International Conference on Data Mining, 2018

Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.

Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu

Proceedings of the IEEE International Conference on Data Mining, 2018

A Reinforcement Learning Framework for Explainable Recommendation.

Xiting Wang, Yiru Chen, Jie Yang, Le Wu, Zhengtao Wu, Xing Xie

Proceedings of the IEEE International Conference on Data Mining, 2018

Multiple Pairwise Ranking with Implicit Feedback.

Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Predicting Aesthetic Score Distribution Through Cumulative Jensen-Shannon Divergence.

Xin Jin, Le Wu, Xiaodong Li, Siyu Chen, Siwei Peng, Jingying Chi, Shiming Ge, Chenggen Song, Geng Zhao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.

Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang

IEEE Trans. Knowl. Data Eng., 2017

Tracking the Dynamics in Crowdfunding.

Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Incremental Matrix Factorization: A Linear Feature Transformation Perspective.

Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

MFCC: An Efficient and Effective Matrix Factorization Model Based on Co-clustering.

Wenjuan Yang, Le Wu, Xueliang Liu, Chunxiao Fan

Proceedings of the Internet Multimedia Computing and Service, 2017

Integrating LTE-D2D and VLC techniques to support V2V communication.

Peng Yue, Le Wu, Zongmin Cui

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

Tracking Knowledge Proficiency of Students with Educational Priors.

Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Run-ze Wu, Yu Su, Guoping Hu

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring.

Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan

ACM Trans. Web, 2016

Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.

Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie

ACM Trans. Intell. Syst. Technol., 2016

Personal Credit Profiling via Latent User Behavior Dimensions on Social Media.

Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Selecting Valuable Customers for Merchants in E-Commerce Platforms.

Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View.

Ming He, Yong Ge, Le Wu, Enhong Chen, Chang Tan

Proceedings of the Database Systems for Advanced Applications, 2016

Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.

Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Product Adoption Rate Prediction: A Multi-factor View.

Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Predicting Smartphone Adoption in Social Networks.

Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen, Xing Xie, Yong Rui

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

Identifying Hesitant and Interested Customers for Targeted Social Marketing.

Guowei Ma, Qi Liu, Le Wu, Enhong Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

2014

Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.

Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

2013

Utilizing Social and Behavioral Neighbors for Personalized Recommendation.

Gang Xu, Linli Xu, Le Wu

Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

Multi-Label Classification with Unlabeled Data: An Inductive Approach.

Le Wu, Min-Ling Zhang

Proceedings of the Asian Conference on Machine Learning, 2013

2012

Leveraging tagging for neighborhood-aware probabilistic matrix factorization.

Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012