Defu Lian

Steven Mudda, Xing Xie, Silvia Giordano, 2018, 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI).

GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation

Xing Xie, Enhong Chen, Guangzhong Sun, 2014, KDD.

Predicting Human Mobility with Self-attention and Feature Interaction

Enhong Chen, Defu Lian, Zhenya Huang, 2020, APWeb/WAIM.

Mining novelty-seeking trait across heterogeneous domains

Nicholas Jing Yuan, Xing Xie, Fuzheng Zhang, 2014, WWW.

Adversarial Binary Collaborative Filtering for Implicit Feedback

Haoyu Wang, Defu Lian, Nan Shao, 2019, AAAI.

A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback

Meng Wang, Richang Hong, Huayu Li, 2016, IJCAI.

Geo-social media data analytic for user modeling and location-based services

Nicholas Jing Yuan, Fuzheng Zhang, Jie Bao, 2016, SIGSPACIAL.

Preference-Aware Task Assignment in Spatial Crowdsourcing

Kai Zheng, Shuo Shang, Yan Zhao, 2019, AAAI.

A Novel User Representation Paradigm for Making Personalized Candidate Retrieval pdf

Xing Xie, Jianxun Lian, Yu Xing, 2019, ArXiv.

Attention-Based Transactional Context Embedding for Next-Item Recommendation

Longbing Cao, Liang Hu, Defu Lian, 2018, AAAI.

Advanced forecasting of career choices for college students based on campus big data

Jun Sun, Lei Yang, Han Su, 2018, Frontiers of Computer Science.

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

Enhong Chen, Yongji Wu, Defu Lian, 2020, AAAI.

Lifting the Predictability of Human Mobility on Activity Trajectories

Xing Xie, Guangzhong Sun, Defu Lian, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

LightRec: A Memory and Search-Efficient Recommender System

Xing Xie, Enhong Chen, Zheng Liu, 2020, WWW.

Discrete Deep Learning for Fast Content-Aware Recommendation

Zi Huang, Yan Zhang, Guowu Yang, 2018, WSDM.

Discrete Content-aware Matrix Factorization

Xing Xie, Rui Liu, Longbing Cao, 2017, KDD.

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates

Xing Xie, Jianxun Lian, Junhan Yang, 2020, SIGIR.

Binarized Graph Neural Network pdf

Xiangjian He, Lu Qin, Xuemin Lin, 2020, ArXiv.

Scalable Content-Aware Collaborative Filtering for Location Recommendation

Nicholas Jing Yuan, Xing Xie, Yong Rui, 2018, IEEE Transactions on Knowledge and Data Engineering.

Binarized attributed network embedding

Chengqi Zhang, Hong Yang, Ling Chen, 2018, 2018 IEEE International Conference on Data Mining (ICDM).

Efficient processing of top-k queries: selective NRA algorithms

Jing Yuan, Guangzhong Sun, Guoliang Chen, 2012, Journal of Intelligent Information Systems.

Collaborative activity recognition via check-in history

Xing Xie, Defu Lian, Xing Xie, 2011, LBSN '11.

Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation

Hui Xiong, Xing Xie, Qi Liu, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

Sampling-Decomposable Generative Adversarial Recommender pdf

Enhong Chen, Zheng Liu, Jianhui Ma, 2020, NeurIPS.

Forecasting Career Choice for College Students Based on Campus Big Data

Lei Yang, Bin Ding, Huachun Xu, 2016, APWeb.

Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation

Lei Chen, Meng Wang, Yonghui Yang, 2020, SIGIR.

A Variational Point Process Model for Social Event Sequences

Enhong Chen, Defu Lian, Zhen Pan, 2020, AAAI.

Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling

Xing Xie, Fuzheng Zhang, Defu Lian, 2017, NLPCC.

Collaborative Knowledge Base Embedding for Recommender Systems

Nicholas Jing Yuan, Xing Xie, Wei-Ying Ma, 2016, KDD.

International Workshop on Model Selection and Parameter Tuning in Recommender Systems

Fikret Sivrikaya, Sahin Albayrak, Defu Lian, 2019, CIKM.

High-order Proximity Preserving Information Network Hashing

Xing Xie, Ivor W. Tsang, Longbing Cao, 2018, KDD.

Exploiting Dining Preference for Restaurant Recommendation

Nicholas Jing Yuan, Xing Xie, Yong Rui, 2016, WWW.

Discrete Matrix Factorization and Extension for Fast Item Recommendation

Xing Xie, Enhong Chen, Defu Lian, 2021, IEEE Transactions on Knowledge and Data Engineering.

We know how you live: exploring the spectrum of urban lifestyles

Nicholas Jing Yuan, Xing Xie, Siyu Yu, 2013, COSN '13.

Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network

Han Su, Defu Lian, Hu Xia, 2017, DASFAA.

MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network

Hao Wang, Enhong Chen, Han Wu, 2019, KDD.

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions

Lu Qin, Ying Zhang, Xuemin Lin, 2020, IJCAI.

Product Quantized Collaborative Filtering

Xing Xie, Enhong Chen, Defu Lian, 2021, IEEE Transactions on Knowledge and Data Engineering.

Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback

Guowu Yang, Defu Lian, Yan Zhang, 2017, AAAI.

Mining Check-In History for Personalized Location Naming

Xing Xie, Defu Lian, Xing Xie, 2014, TIST.

Discrete Ranking-based Matrix Factorization with Self-Paced Learning

Yan Zhang, Guowu Yang, Ivor W. Tsang, 2018, KDD.

Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback

Hui Xiong, Nicholas Jing Yuan, Xing Xie, 2016, IJCAI.

Deep Pairwise Hashing for Cold-Start Recommendation pdf

Guowu Yang, Ivor W. Tsang, Yan Zhang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference

Enhong Chen, Yongji Wu, Defu Lian, 2019, IJCAI.

GPS-Simulated Trajectory Detection

Wei Chen, Rong Liu, Bolong Zheng, 2017, DASFAA.

Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective

Qi Liu, Defu Lian, 2018, Journal of Computer Science and Technology.

Geography-Aware Sequential Location Recommendation

Xing Xie, Enhong Chen, Yong Ge, 2020, KDD.

Collaborative filtering meets next check-in location prediction

Xing Xie, Vincent Wenchen Zheng, Defu Lian, 2013, WWW.

Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer

Kai Zheng, Jin Chen, Defu Lian, 2019, AAAI.

Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data

Nicholas Jing Yuan, Xing Xie, Enhong Chen, 2015, KDD.

Analyzing Location Predictability on Location-Based Social Networks

Xing Xie, Enhong Chen, Defu Lian, 2014, PAKDD.

Mining Location-based Social Networks: A Predictive Perspective

Nicholas Jing Yuan, Xing Xie, Yong Rui, 2015, IEEE Data Eng. Bull..

GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization

Xing Xie, Enhong Chen, Longbing Cao, 2018, TOIS.

Collaborative Filtering With Ranking-Based Priors on Unknown Ratings

Jin Chen, Defu Lian, Kai Zheng, 2020, IEEE Intelligent Systems.

Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach

Hao Liu, Huayu Li, Yong Ge, 2017, IJCAI.

Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data

Ling Chen, Longbing Cao, Huan Liu, 2018, AAAI.

Indigenization of Urban Mobility pdf

Nicholas Jing Yuan, Xing Xie, Yong Rui, 2014, ArXiv.

Mobile Check-In Recommendation

Nicholas Jing Yuan, Defu Lian, Defu Lian, 2017, ACM SIGSPATIAL International Workshop on Advances in Geographic Information Systems.

Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region pdf

Xing Xie, Enhong Chen, Guangzhong Sun, 2016, ArXiv.

Binarized Collaborative Filtering with Distilling Graph Convolutional Networks

Yong Ge, Defu Lian, Haoyu Wang, 2019, IJCAI.

Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing

Guanfeng Liu, Xiaofang Zhou, Kai Zheng, 2020, IEEE Transactions on Knowledge and Data Engineering.

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Junhan Yang, Defu Lian, Chaozhuo Li, 2021, NeurIPS.

Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

Defu Lian, Zhiqiang Zhang, Tiezheng Ge, 2021, AAAI.

Powerful graph of graphs neural network for structured entity analysis

Defu Lian, Wanqi Liu, Hanchen Wang, 2021, World Wide Web.

Ranking-Based Implicit Regularization for One-Class Collaborative Filtering

Enhong Chen, Xiaofang Zhou, Defu Lian, 2022, IEEE Transactions on Knowledge and Data Engineering.

Meta-learning with an Adaptive Task Scheduler pdf

Yu Wang, Chelsea Finn, Mehrdad Mahdavi, 2021, NeurIPS.

Preference-Adaptive Meta-Learning for Cold-Start Recommendation

Enhong Chen, Qi Liu, Defu Lian, 2021, IJCAI.

Matching-oriented Product Quantization For Ad-hoc Retrieval

Defu Lian, Zheng Liu, Shitao Xiao, 2021, 2104.07858.

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training

Enhong Chen, Defu Lian, Chenwang Wu, 2021, SIGIR.

Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling

Enhong Chen, Defu Lian, Kai Zheng, 2021, ACM Trans. Intell. Syst. Technol..

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering pdf

Enhong Chen, Defu Lian, Binbin Jin, 2021, ArXiv.

Automated Creative Optimization for E-Commerce Advertising

Defu Lian, Zhiqiang Zhang, Tiezheng Ge, 2021, WWW.

Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention pdf

Hongxia Yang, Jingren Zhou, Neil Zhenqiang Gong, 2021, ArXiv.

A Unified Transferable Model for ML-Enhanced DBMS pdf

Kai Zeng, Jingren Zhou, Yuxing Han, 2021, ArXiv.

xLightFM: Extremely Memory-Efficient Factorization Machine

Enhong Chen, Defu Lian, Jin Chen, 2021, SIGIR.

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval

Defu Lian, Chaozhuo Li, Hao Sun, 2022 .

Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks pdf

Guangzhong Sun, Jianxun Lian, Junhan Yang, 2021, ArXiv.

Federated Deep Knowledge Tracing

Enhong Chen, Qi Liu, Defu Lian, 2021, WSDM.

Decoupled Representation Learning for Attributed Networks

Enhong Chen, Qi Liu, Hanghang Tong, 2021, IEEE Transactions on Knowledge and Data Engineering.

A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising

Defu Lian, Zhiqiang Zhang, Tiezheng Ge, 2021, WWW.

Search-oriented Differentiable Product Quantization pdf

Defu Lian, Yingxia Shao, Zheng Liu, 2021, ArXiv.

Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement

Enhong Chen, Qi Liu, Fajie Yuan, 2021, SIGIR.

Online Additive Quantization

Enhong Chen, Qi Liu, Jianhui Ma, 2021, KDD.

Matching-oriented Embedding Quantization For Ad-hoc Retrieval

Defu Lian, Zheng Liu, Shitao Xiao, 2021, EMNLP.

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage

Defu Lian, Jing Gao, Yaqing Wang, 2021, CIKM.

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems

Enhong Chen, Defu Lian, Chenwang Wu, 2021, KDD.

Assessing Dialogue Systems with Distribution Distances

Lemao Liu, Deng Cai, Defu Lian, 2021, FINDINGS.

Reinforcement Routing on Proximity Graph for Efficient Recommendation

Enhong Chen, Defu Lian, Xing Xie, 2022, ACM Trans. Inf. Syst..

Predicting Academic Performance for College Students: A Campus Behavior Perspective.

Yi Cao, Defu Lian, Huaxiu Yao, 2019 .

Orderliness predicts academic performance: behavioural analysis on campus lifestyle

Zhihai Rong, Yi Cao, Defu Lian, 2017, Journal of The Royal Society Interface.