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2020 – today
- 2021
[j13]Defu Lian, Xing Xie, Enhong Chen:
Discrete Matrix Factorization and Extension for Fast Item Recommendation. IEEE Trans. Knowl. Data Eng. 33(5): 1919-1933 (2021)- [j12]Hanchen Wang
, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized graph neural network. World Wide Web 24(3): 825-848 (2021) - [c60]Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. AAAI 2021: 3967-3975 - [c59]Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen:
xLightFM: Extremely Memory-Efficient Factorization Machine. SIGIR 2021: 337-346 - [c58]Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen:
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. SIGIR 2021: 575-584 - [c57]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan:
Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. SIGIR 2021: 1074-1083 - [c56]Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang:
Federated Deep Knowledge Tracing. WSDM 2021: 662-670 - [c55]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. WWW 2021: 1262-1273 - [c54]Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Automated Creative Optimization for E-Commerce Advertising. WWW 2021: 2304-2313 - [c53]Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. WWW 2021: 2324-2334 - [i20]Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang:
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. CoRR abs/2102.04033 (2021) - [i19]Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Automated Creative Optimization for E-Commerce Advertising. CoRR abs/2103.00436 (2021) - [i18]Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng:
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. CoRR abs/2103.01453 (2021) - [i17]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. CoRR abs/2104.07858 (2021) - [i16]Junhan Yang, Zheng Liu, Bowen Jin, Jianxun Lian, Defu Lian, Akshay Soni, Eun Yong Kang, Yajun Wang, Guangzhong Sun, Xing Xie:
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks. CoRR abs/2104.10925 (2021) - [i15]Ziniu Wu, Peilun Yang, Pei Yu, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CoRR abs/2105.02418 (2021) - [i14]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. CoRR abs/2105.02573 (2021) - [i13]Yongji Wu, Lu Yin, Defu Lian, Mingyang Yin, Neil Zhenqiang Gong, Jingren Zhou, Hongxia Yang:
Rethinking Lifelong Sequential Recommendation with Incremental Multi-Interest Attention. CoRR abs/2105.14060 (2021) - [i12]Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang:
Linear-Time Self Attention with Codeword Histogram for Efficient Recommendation. CoRR abs/2105.14068 (2021) - 2020
- [j11]Jin Chen, Defu Lian, Kai Zheng:
Collaborative Filtering With Ranking-Based Priors on Unknown Ratings. IEEE Intell. Syst. 35(5): 38-49 (2020) - [j10]Kai Zheng, Yan Zhao, Defu Lian, Bolong Zheng, Guanfeng Liu, Xiaofang Zhou:
Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query Processing. IEEE Trans. Knowl. Data Eng. 32(11): 2227-2240 (2020) - [c52]Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen:
A Variational Point Process Model for Social Event Sequences. AAAI 2020: 173-180 - [c51]Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen:
Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. AAAI 2020: 1054-1061 - [c50]Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen:
Predicting Human Mobility with Self-attention and Feature Interaction. APWeb/WAIM (2) 2020: 117-131 - [c49]Chong Liu, Defu Lian, Min Nie, Hu Xia:
Online Optimized Product Quantization. ICDM 2020: 362-371 - [c48]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. IJCAI 2020: 1317-1323 - [c47]Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen:
Geography-Aware Sequential Location Recommendation. KDD 2020: 2009-2019 - [c46]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. NeurIPS 2020 - [c45]Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie:
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates. SIGIR 2020: 289-298 - [c44]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. SIGIR 2020: 1211-1220 - [c43]Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie:
LightRec: A Memory and Search-Efficient Recommender System. WWW 2020: 695-705 - [c42]Defu Lian, Qi Liu, Enhong Chen:
Personalized Ranking with Importance Sampling. WWW 2020: 1093-1103 - [i11]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin:
Binarized Graph Neural Network. CoRR abs/2004.11147 (2020) - [i10]Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin:
GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions. CoRR abs/2005.05537 (2020) - [i9]Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang:
Learning to Transfer Graph Embeddings for Inductive Graph based Recommendation. CoRR abs/2005.11724 (2020) - [i8]Yan Zhang, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li:
Deep Pairwise Hashing for Cold-start Recommendation. CoRR abs/2011.00944 (2020) - [i7]Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen:
Sampling-Decomposable Generative Adversarial Recommender. CoRR abs/2011.00956 (2020)
2010 – 2019
- 2019
- [j9]Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou:
Predicting Academic Performance for College Students: A Campus Behavior Perspective. ACM Trans. Intell. Syst. Technol. 10(3): 24:1-24:21 (2019) - [c41]Jin Chen, Defu Lian, Kai Zheng:
Improving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer. AAAI 2019: 37-44 - [c40]Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng:
Preference-Aware Task Assignment in Spatial Crowdsourcing. AAAI 2019: 2629-2636 - [c39]Haoyu Wang, Nan Shao, Defu Lian:
Adversarial Binary Collaborative Filtering for Implicit Feedback. AAAI 2019: 5248-5255 - [c38]Fikret Sivrikaya, Sahin Albayrak, Defu Lian:
International Workshop on Model Selection and Parameter Tuning in Recommender Systems. CIKM 2019: 2999-3000 - [c37]Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen:
Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. IJCAI 2019: 3898-3904 - [c36]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Network. IJCAI 2019: 4802-4808 - [c35]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. KDD 2019: 1064-1072 - [i6]Huaxiu Yao, Defu Lian, Yi Cao, Yifan Wu, Tao Zhou:
Predicting Academic Performance for College Students: A Campus Behavior Perspective. CoRR abs/1903.06726 (2019) - [i5]Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su:
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. CoRR abs/1905.11013 (2019) - [i4]Haoyu Wang, Defu Lian, Yong Ge:
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks. CoRR abs/1906.01829 (2019) - [i3]Zheng Liu, Yu Xing, Jianxun Lian, Defu Lian, Ziyao Li, Xing Xie:
A Novel User Representation Paradigm for Making Personalized Candidate Retrieval. CoRR abs/1907.06323 (2019) - 2018
- [j8]Min Nie, Lei Yang, Jun Sun, Han Su, Hu Xia, Defu Lian, Kai Yan:
Advanced forecasting of career choices for college students based on campus big data. Frontiers Comput. Sci. 12(3): 494-503 (2018) - [j7]Defu Lian, Qi Liu:
Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective. J. Comput. Sci. Technol. 33(4): 654-667 (2018) - [j6]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Scalable Content-Aware Collaborative Filtering for Location Recommendation. IEEE Trans. Knowl. Data Eng. 30(6): 1122-1135 (2018) - [j5]Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie:
GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization. ACM Trans. Inf. Syst. 36(3): 33:1-33:29 (2018) - [c34]Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu:
Attention-Based Transactional Context Embedding for Next-Item Recommendation. AAAI 2018: 2532-2539 - [c33]Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu:
Sparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data. AAAI 2018: 3892-3899 - [c32]Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu:
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. DASFAA (2) 2018: 318-335 - [c31]Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang:
Binarized attributed network embedding. ICDM 2018: 1476-1481 - [c30]Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie:
High-order Proximity Preserving Information Network Hashing. KDD 2018: 1744-1753 - [c29]Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang:
Neural Memory Streaming Recommender Networks with Adversarial Training. KDD 2018: 2467-2475 - [c28]Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang:
Discrete Ranking-based Matrix Factorization with Self-Paced Learning. KDD 2018: 2758-2767 - [c27]Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie:
Spatial-Aware Deep Recommender System. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 983-990 - [c26]Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian:
Discrete Deep Learning for Fast Content-Aware Recommendation. WSDM 2018: 717-726 - 2017
- [c25]Yan Zhang, Defu Lian, Guowu Yang:
Discrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback. AAAI 2017: 1669-1675 - [c24]Han Su, Wei Chen, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang, Defu Lian:
GPS-Simulated Trajectory Detection. DASFAA (2) 2017: 581-593 - [c23]Huaxiu Yao, Min Nie, Han Su, Hu Xia, Defu Lian:
Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network. DASFAA (2) 2017: 597-609 - [c22]Huayu Li, Yong Ge, Defu Lian, Hao Liu:
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach. IJCAI 2017: 2117-2123 - [c21]Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao:
Discrete Content-aware Matrix Factorization. KDD 2017: 325-334 - [c20]Fuzheng Zhang, Defu Lian, Xing Xie:
Overview of the NLPCC-ICCPOL 2017 Shared Task: Social Media User Modeling. NLPCC 2017: 937-941 - [r1]Defu Lian, Nicholas Jing Yuan:
Mobile Check-In Recommendation. Encyclopedia of GIS 2017: 1235-1244 - 2016
- [c19]Min Nie, Lei Yang, Bin Ding, Hu Xia, Huachun Xu, Defu Lian:
Forecasting Career Choice for College Students Based on Campus Big Data. APWeb (1) 2016: 359-370 - [c18]Yan Zhang, Guowu Yang, Defu Lian, Hong Wen, Jinsong Wu:
Constraint Free Preference Preserving Hashing for Fast Recommendation. GLOBECOM 2016: 1-6 - [c17]Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong:
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation. ICDM 2016: 1023-1028 - [c16]Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie:
Regularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation. ICDM 2016: 1029-1034 - [c15]Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge:
A Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback. IJCAI 2016: 1683-1689 - [c14]Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong:
Sparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback. IJCAI 2016: 1732-1738 - [c13]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma:
Collaborative Knowledge Base Embedding for Recommender Systems. KDD 2016: 353-362 - [c12]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Exploiting Dining Preference for Restaurant Recommendation. WWW 2016: 725-735 - [i2]Hao Fu, Xing Xie, Yong Rui, Defu Lian, Guangzhong Sun, Enhong Chen:
Predicting Social Status via Social Networks: A Case Study on University, Occupation, and Region. CoRR abs/1604.02694 (2016) - 2015
- [j4]Defu Lian, Xing Xie, Fuzheng Zhang, Nicholas Jing Yuan, Tao Zhou, Yong Rui:
Mining Location-based Social Networks: A Predictive Perspective. IEEE Data Eng. Bull. 38(2): 35-46 (2015) - [j3]Jie Bao, Defu Lian, Fuzheng Zhang, Nicholas Jing Yuan:
Geo-social media data analytic for user modeling and location-based services. ACM SIGSPATIAL Special 7(3): 11-18 (2015) - [c11]Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui:
Mining consumer impulsivity from offline and online behavior. UbiComp 2015: 1281-1292 - [c10]Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui:
Content-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data. ICDM 2015: 261-270 - [c9]Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun:
Lifting the Predictability of Human Mobility on Activity Trajectories. ICDM Workshops 2015: 1063-1069 - [c8]Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui:
Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data. KDD 2015: 1275-1284 - 2014
- [j2]Defu Lian, Xing Xie:
Mining Check-In History for Personalized Location Naming. ACM Trans. Intell. Syst. Technol. 5(2): 32:1-32:25 (2014) - [c7]Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui:
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation. KDD 2014: 831-840 - [c6]Defu Lian, Yin Zhu, Xing Xie, Enhong Chen:
Analyzing Location Predictability on Location-Based Social Networks. PAKDD (1) 2014: 102-113 - [c5]Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie:
Mining novelty-seeking trait across heterogeneous domains. WWW 2014: 373-384 - [i1]Zimo Yang, Defu Lian, Nicholas Jing Yuan, Xing Xie, Yong Rui, Tao Zhou:
Indigenization of Urban Mobility. CoRR abs/1405.7769 (2014) - 2013
- [c4]Nicholas Jing Yuan, Fuzheng Zhang, Defu Lian, Kai Zheng, Siyu Yu, Xing Xie:
We know how you live: exploring the spectrum of urban lifestyles. COSN 2013: 3-14 - [c3]Defu Lian, Vincent Wenchen Zheng, Xing Xie:
Collaborative filtering meets next check-in location prediction. WWW (Companion Volume) 2013: 231-232 - 2012
- [j1]Jing Yuan, Guangzhong Sun, Tao Luo, Defu Lian, Guoliang Chen:
Efficient processing of top-k queries: selective NRA algorithms. J. Intell. Inf. Syst. 39(3): 687-710 (2012) - 2011
- [c2]Defu Lian, Xing Xie:
Collaborative activity recognition via check-in history. GIS-LBSN 2011: 45-48 - [c1]Defu Lian, Xing Xie:
Learning location naming from user check-in histories. GIS 2011: 112-121
Coauthor Index
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