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Viewing Publication 1 - 100 from 152

2024

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate PredictionQi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei. AAAI 2024: 8787-8795 [doi]

Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning ApproachXiaoyu Shi, Quanliang Liu, Hong Xie 0004, Di Wu, Bo Peng, Mingsheng Shang 0001, Defu Lian. tois, 42(2), March 2024. [doi]

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous UsersHantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie 0004, John C. S. Lui, Defu Lian, Enhong Chen. AAAI 2024: 20596-20603 [doi]

PilotScope: Steering Databases with Machine Learning DriversRong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou. pvldb, 17(5):980-993, January 2024. [doi]

2023

Membership Inference Attacks Against Sequential Recommender SystemsZhihao Zhu 0002, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen. WWW 2023: 1208-1219 [doi]

Securing recommender system via cooperative trainingQingyang Wang 0003, Chenwang Wu, Defu Lian, Enhong Chen. www, 26(6):3915-3943, November 2023. [doi]

Decoupled Representation Learning for Attributed NetworksHao Wang 0076, Defu Lian, Hanghang Tong, Qi Liu 0003, Zhenya Huang, Enhong Chen. tkde, 35(3):2430-2444, March 2023. [doi]

Learned Index with Dynamic $\epsilon$Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng 0002, Defu Lian, Jingren Zhou. iclr 2023: [doi]

Improving Recommendation Fairness via Data AugmentationLei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang. WWW 2023: 1012-1020 [doi]

Markov-Driven Graph Convolutional Networks for Social Spammer DetectionLeyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen. tkde, 35(12):12310-12322, December 2023. [doi]

AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for RecommendationRui Fan, Yuanhao Pu, Jin Chen 0008, Zhihao Zhu 0002, Defu Lian, Enhong Chen. WWW 2023: 1032-1042 [doi]

Batch-Mix Negative Sampling for Learning Recommendation RetrieversYongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng. CIKM 2023: 494-503 [doi]

Reinforcement Routing on Proximity Graph for Efficient RecommendationChao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie 0001, Enhong Chen. tois, 41(1), January 2023. [doi]

GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential RecommendationYongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen. dasfaa 2023: 286-296 [doi]

An Efficient and Robust Semantic Hashing Framework for Similar Text SearchLiyang He, Zhenya Huang, Enhong Chen, Qi Liu 0003, Shiwei Tong, Hao Wang 0076, Defu Lian, Shijin Wang 0001. tois, 41(4), October 2023. [doi]

Personal or General? A Hybrid Strategy with Multi-factors for News RecommendationZhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu 0003, Defu Lian, Tengfei Bao, Enhong Chen. tois, 41(2), April 2023. [doi]

Cooperative Retriever and Ranker in Deep RecommendersXu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie 0001, Enhong Chen. WWW 2023: 1150-1161 [doi]

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork PromptsGangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei 0001. emnlp 2023: 12081-12095 [doi]

Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning RecommendersYucheng Li, Defu Lian, Jin Chen 0008. dasfaa 2023: 95-108 [doi]

Learning to Substitute Spans towards Improving Compositional GeneralizationZhaoyi Li, Ying Wei 0001, Defu Lian. acl 2023: 2791-2811 [doi]

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural RetrievalChaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao. sigir 2023: 3095-3099 [doi]

Learning Balanced Tree Indexes for Large-Scale Vector RetrievalWuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen. kdd 2023: 1353-1362 [doi]

Network Representation Lightening From Hashing to QuantizationDefu Lian, Zhihao Zhu 0002, Kai Zheng 0001, Yong Ge, Xing Xie 0001, Enhong Chen. tkde, 35(5):5119-5131, May 2023. [doi]

RecStudio: Towards a Highly-Modularized Recommender SystemDefu Lian, Xu Huang, Xiaolong Chen, Jin Chen 0008, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen. sigir 2023: 2890-2900 [doi]

Deep Task-specific Bottom Representation Network for Multi-Task RecommendationQi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian. CIKM 2023: 1637-1646 [doi]

Differentiable Optimized Product Quantization and BeyondZepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen. WWW 2023: 3353-3363 [doi]

Knowledge Distillation for High Dimensional Search IndexZepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen. nips 2023: [doi]

Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation SystemsFulan Qian, Bei Yuan, Hai Chen, Jie Chen 0025, Defu Lian, Shu Zhao. tbd, 9(5):1276-1287, October 2023. [doi]

GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow PredictionChaoqun Su, Chenwang Wu, Defu Lian. ecai 2023: 2218-2225 [doi]

Deep Cross-Attention Network for Crowdfunding Success PredictionZhe Tang, Yi Yang, Wen Li 0001, Defu Lian, Lixin Duan. tmm, 25:1306-1319, 2023. [doi]

A Simple and Robust Ensemble For Click-Through Rate PredictionXingmei Wang, Yankai Wang, Defu Lian. recsys 2023: 14-17 [doi]

Modeling User Demand Evolution for Next-Basket PredictionShoujin Wang, Yan Wang 0002, Liang Hu, Xiuzhen Zhang, Qi Zhang 0020, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian. tkde, 35(11):11585-11598, November 2023. [doi]

Influence-Driven Data Poisoning for Robust Recommender SystemsChenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu 0002, Enhong Chen. pami, 45(10):11915-11931, October 2023. [doi]

A Causality Inspired Framework for Model InterpretationChenwang Wu, Xiting Wang, Defu Lian, Xing Xie 0001, Enhong Chen. kdd 2023: 2731-2741 [doi]

KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node ClassificationLikang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen. IJCAI 2023: 2361-2369 [doi]

Frequency-domain MLPs are More Effective Learners in Time Series ForecastingKun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu. nips 2023: [doi]

APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential RecommendationMingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen. CIKM 2023: 3009-3019 [doi]

Query-Aware Quantization for Maximum Inner Product SearchJin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen. AAAI 2023: 4875-4883 [doi]

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous CrowdHaodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu. icde 2023: 1234-1246 [doi]

2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric RegularizationMenglin Yang 0001, Min Zhou 0006, Jiahong Liu 0001, Defu Lian, Irwin King. WWW 2022: 2462-2471 [doi]

Resisting Graph Adversarial Attack via Cooperative Homophilous AugmentationZhihao Zhu 0002, Chenwang Wu, Min Zhou 0006, Hao Liao, Defu Lian, Enhong Chen. pkdd 2023: 251-268 [doi]

Deep Pairwise Hashing for Cold-Start RecommendationYan Zhang 0036, Ivor W. Tsang, Hongzhi Yin, Guowu Yang, Defu Lian, Jingjing Li 0001. tkde, 34(7):3169-3181, 2022. [doi]

HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware RecommendationHao Wang 0076, Defu Lian, Hanghang Tong, Qi Liu 0003, Zhenya Huang, Enhong Chen. tois, 40(2), 2022. [doi]

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative FilteringJin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen. WWW 2022: 1944-1954 [doi]

Learning Recommenders for Implicit Feedback with Importance ResamplingJin Chen, Defu Lian, Binbin Jin, Kai Zheng 0001, Enhong Chen. WWW 2022: 1997-2005 [doi]

Cache-Augmented Inbatch Importance Resampling for Training Recommender RetrieverJin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen. nips 2022: [doi]

Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered StrategyLeyan Deng, Defu Lian, Chenwang Wu, Enhong Chen. nips 2022: [doi]

Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly DetectionLeyan Deng, Defu Lian, Zhenya Huang, Enhong Chen. tnn, 33(6):2416-2428, 2022. [doi]

Improving Implicit Alternating Least Squares with Ring-based RegularizationRui Fan, Jin Chen 0008, Jin Zhang, Defu Lian, Enhong Chen. sigir 2022: 102-111 [doi]

Forest-based Deep RecommenderChao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen. sigir 2022: 523-532 [doi]

Recommender Forest for Efficient RetrievalChao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen. nips 2022: [doi]

Self-Supervised Text Erasing with Controllable Image SynthesisGangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei 0001, Defu Lian. mm 2022: 1973-1983 [doi]

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link PredictionBisheng Li, Min Zhou 0006, Shengzhong Zhang, Menglin Yang 0001, Defu Lian, Zengfeng Huang. sigir 2022: 2053-2058 [doi]

Ranking-Based Implicit Regularization for One-Class Collaborative FilteringDefu Lian, Jin Chen 0008, Kai Zheng 0001, Enhong Chen, Xiaofang Zhou 0001. tkde, 34(12):5951-5963, 2022. [doi]

Attention-Cooperated Reinforcement Learning for Multi-agent Path PlanningJinchao Ma, Defu Lian. dasfaa 2022: 272-290 [doi]

Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town RecommendationLijiao Qin, Defu Lian. ksem 2022: 501-515 [doi]

Towards Robust Recommender Systems via Triple Cooperative DefenseQingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen. wise 2022: 564-578 [doi]

A Survey on Session-based Recommender SystemsShoujin Wang, Longbing Cao, Yan Wang 0002, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian. ACM Comput. Surv., 54(7), 2022. [doi]

CreaGAN: An Automatic Creative Generation Framework for Display AdvertisingShiyao Wang, Qi Liu, Yicheng Zhong, Zhilong Zhou, Tiezheng Ge, Defu Lian, Yuning Jiang. mm 2022: 7261-7269 [doi]

Powerful graph of graphs neural network for structured entity analysisHanchen Wang, Defu Lian, Wanqi Liu, Dong Wen, Chen Chen, Xiaoyang Wang 0002. www, 25(2):609-629, 2022. [doi]

A Unified Transferable Model for ML-Enhanced DBMSZiniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou. cidr 2022: [doi]

Investigating Data Variance in Evaluations of Automatic Machine Translation MetricsJiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi 0001. acl 2022: 150-157 [doi]

Visualizing the Relationship Between Encoded Linguistic Information and Task PerformanceJiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu. acl 2022: 410-422 [doi]

Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based RetrievalShitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie 0001. WWW 2022: 286-296 [doi]

Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense EmbeddingsShitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie. sigir 2022: 1513-1523 [doi]

TMN: Trajectory Matching Networks for Predicting SimilarityPeilun Yang, Hanchen Wang, Defu Lian, Ying Zhang 0001, Lu Qin 0001, Wenjie Zhang 0001. icde 2022: 1700-1713 [doi]

Anisotropic Additive Quantization for Fast Inner Product SearchJin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen. AAAI 2022: 4354-4362 [doi]

NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate PredictionGuanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang. sigir 2022: 332-342 [doi]

2021

Efficient Optimal Selection for Composited Advertising Creatives with Tree StructureJin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng. AAAI 2021: 3967-3975 [doi]

Automated Creative Optimization for E-Commerce AdvertisingJin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng. WWW 2021: 2304-2313 [doi]

Learning Recommender Systems with Implicit Feedback via Soft Target EnhancementMingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen. sigir 2021: 575-584 [doi]

xLightFM: Extremely Memory-Efficient Factorization MachineGangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen. sigir 2021: 337-346 [doi]

Discrete Matrix Factorization and Extension for Fast Item RecommendationDefu Lian, Xing Xie 0001, Enhong Chen. tkde, 33(5):1919-1933, 2021. [doi]

Product Quantized Collaborative FilteringDefu Lian, Xing Xie 0001, Enhong Chen, Hui Xiong 0001. tkde, 33(9):3284-3296, 2021. [doi]

Online Additive QuantizationQi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen. kdd 2021: 1098-1108 [doi]

Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity ModelingShuo Tao, Jingang Jiang 0002, Defu Lian, Kai Zheng 0001, Enhong Chen. tist, 12(6), 2021. [doi]

Binarized graph neural networkHanchen Wang, Defu Lian, Ying Zhang 0001, Lu Qin, Xiangjian He, Yiguang Lin, Xuemin Lin 0001. www, 24(3):825-848, 2021. [doi]

A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display AdvertisingShiyao Wang, Qi Liu 0003, Tiezheng Ge, Defu Lian, Zhiqiang Zhang. WWW 2021: 2324-2334 [doi]

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and StorageHaoyu Wang, Yaqing Wang, Defu Lian, Jing Gao. CIKM 2021: 1909-1918 [doi]

Preference-Adaptive Meta-Learning for Cold-Start RecommendationLi Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen. IJCAI 2021: 1607-1614 [doi]

Triple Adversarial Learning for Influence based Poisoning Attack in Recommender SystemsChenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen. kdd 2021: 1830-1840 [doi]

Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning TrainingChenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan. sigir 2021: 1074-1083 [doi]

Federated Deep Knowledge TracingJinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang 0001. wsdm 2021: 662-670 [doi]

Linear-Time Self Attention with Codeword Histogram for Efficient RecommendationYongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang. WWW 2021: 1262-1273 [doi]

Assessing Dialogue Systems with Distribution DistancesJiannan Xiang, Yahui Liu, Deng Cai 0002, Huayang Li, Defu Lian, Lemao Liu. acl 2021: 2192-2198 [doi]

Matching-oriented Embedding Quantization For Ad-hoc RetrievalShitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie 0001. emnlp 2021: 8119-8129 [doi]

GraphFormers: GNN-nested Transformers for Representation Learning on Textual GraphJunhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie 0001. nips 2021: 28798-28810 [doi]

Meta-learning with an Adaptive Task SchedulerHuaxiu Yao, Yu Wang 0002, Ying Wei 0001, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn. nips 2021: 7497-7509 [doi]

2020

Reference-Based Framework for Spatio-Temporal Trajectory Compression and Query ProcessingKai Zheng 0001, Yan Zhao 0008, Defu Lian, Bolong Zheng, Guanfeng Liu 0001, Xiaofang Zhou 0001. tkde, 32(11):2227-2240, 2020. [doi]

Predicting Human Mobility with Self-attention and Feature InteractionJingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen. apweb 2020: 117-131 [doi]

Sampling-Decomposable Generative Adversarial RecommenderBinbin Jin, Defu Lian, Zheng Liu, Qi Liu 0003, Jianhui Ma, Xing Xie 0001, Enhong Chen. nips 2020: [doi]

Personalized Ranking with Importance SamplingDefu Lian, Qi Liu 0003, Enhong Chen. WWW 2020: 1093-1103 [doi]

Geography-Aware Sequential Location RecommendationDefu Lian, Yongji Wu, Yong Ge, Xing Xie 0001, Enhong Chen. kdd 2020: 2009-2019 [doi]

LightRec: A Memory and Search-Efficient Recommender SystemDefu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie 0001. WWW 2020: 695-705 [doi]

Online Optimized Product QuantizationChong Liu, Defu Lian, Min Nie, Hu Xia. icdm 2020: 362-371 [doi]

Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation CandidatesZheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie 0001. sigir 2020: 289-298 [doi]

A Variational Point Process Model for Social Event SequencesZhen Pan, Zhenya Huang, Defu Lian, Enhong Chen. AAAI 2020: 173-180 [doi]

GoGNN: Graph of Graphs Neural Network for Predicting Structured Entity InteractionsHanchen Wang, Defu Lian, Ying Zhang 0001, Lu Qin, Xuemin Lin 0001. IJCAI 2020: 1317-1323 [doi]

Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer DetectionYongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen. AAAI 2020: 1054-1061 [doi]

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