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Defu Lian

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

171

Venues

24

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

171 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIMultiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing.Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian
2026ACLReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval.Jianlyu Chen, Junwei Lan, Chaofan Li, Defu Lian, Zheng Liu
2026ACLBenchmarking and Enabling Efficient Chinese Medical Retrieval via Asymmetric Encoders.Angqing Jiang, Jianlyu Chen, Zhe Fang, Yongcan Wang, Xinpeng Li, Keyu Ding, Defu Lian
2026ACLEquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning.Jiawei Liu, Qisi Chen, Jianshu Zhang, Quan Liu, Defu Lian
2026ACLLearning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration.Hang Lv, Hongchao Gu, Ruiqing Yang, Liangyue Li, Zulong Chen, Defu Lian, Hao Wang, Enhong Chen
2026ACLLet Retrievers Think Before Action: Thought-Augmented Embedding for Dense Retrieval.Ruiran Yan, Wen Xiong, Ze Liu, Chaozhuo Li, Hao Liao, Defu Lian, Zheng Liu
2026ACLSPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility.Xuyang Zhi, Peilun Zhou, Chengqiang Lu, Hang Lv, Yiwei Liang, Rongyang Zhang, Yan Gao, Yi Wu, Yao Hu, Hongchao Gu, Defu Lian, Hao Wang, Enhong Chen
2026KDDHumanLLM: Towards Personalized Understanding and Simulation of Human Nature.Yuxuan Lei, Tianfu Wang, Jianxun Lian, Zhengyu Hu, Defu Lian, Xing Xie
2025ACLMegaPairs: Massive Data Synthesis for Universal Multimodal Retrieval.Junjie Zhou, Yongping Xiong, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian
2025ACLAIR-Bench: Automated Heterogeneous Information Retrieval Benchmark.Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao, Han Xiao, Hao Liao, Defu Lian, Zheng Liu
2025ACLRAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery.Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen
2025ACLInternal Value Alignment in Large Language Models through Controlled Value Vector Activation.Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian
2025ACLReinforced IR: A Self-Boosting Framework For Domain-Adapted Information Retrieval.Chaofan Li, Jianlyu Chen, Yingxia Shao, Chaozhuo Li, Quanqing Xu, Defu Lian, Zheng Liu
2025ACLAny Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval.Zheng Liu, Ze Liu, Zhengyang Liang, Junjie Zhou, Shitao Xiao, Chao Gao, Chen Jason Zhang, Defu Lian
2025ACLBoosting Long-Context Information Seeking via Query-Guided Activation Refilling.Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian
2025ACLExploring the Choice Behavior of Large Language Models.Weidong Wu, Qinlin Zhao, Hao Chen, Lexin Zhou, Defu Lian, Hong Xie
2025CIKMTransformers are Good Clusterers for Lifelong User Behavior Sequence Modeling.Xingmei Wang, Shiyao Wang, Wuchao Li, Jiaxin Deng, Song Lu, Defu Lian, Guorui Zhou
2025CIKMTaming Ultra-Long Behavior Sequence in Session-wise Generative Recommendation.Wuchao Li, Shiyao Wang, Kuo Cai, Jiaxin Deng, Xingmei Wang, Qigen Hu, Defu Lian, Guorui Zhou
2025CIKMTrustworthy Knowledge Discovery and Data Mining (TrustKDD).Le Wu, Jindong Wang, Ling Chen, Xiangyu Zhao, Kui Yu, Yashar Deldjoo, Defu Lian
2025COLINGEfficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models.Haodi Zhang, Junyu Yang, Jinyin Nie, Peirou Liang, Kaishun Wu, Defu Lian, Rui Mao, Yuanfeng Song
2025DASFAAA Universal Framework for Compressing Embeddings in CTR Prediction.Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen
2025EMNLPWhat Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning.Gangwei Jiang, Yahui Liu, Zhaoyi Li, Wei Bi, Fuzheng Zhang, Linqi Song, Ying Wei, Defu Lian
2025ICDEDaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min
2025ICLRTDDBench: A Benchmark for Training data detection.Zhihao Zhu, Yi Yang, Defu Lian
2025ICLRUnlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning.Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
2025ICLRMaking Transformer Decoders Better Differentiable Indexers.Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yunen Yu, Yang Song, Han Li, Kun Gai
2025ICLRMaking Text Embedders Few-Shot Learners.Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu
2025ICLRRecFlow: An Industrial Full Flow Recommendation Dataset.Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2025ICLRToolACE: Winning the Points of LLM Function Calling.Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen
2025ICMLHyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking.Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
2025ICMLFrom Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models.Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
2025KDDUnderstanding the Effect of Loss Functions on the Generalization of Recommendations.Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen
2025KDDRobust Tree-based Learned Vector Index with Query-aware Repartitioning.Wenqing Wei, Defu Lian, Qingshuai Feng, Yongji Wu
2025KDDMHongyi Xie, Min Zhou, Qiao Yu, Jialiang Yu, Zhenli Sheng, Hong Xie, Defu Lian
2025KDDBreaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation.Wenjia Xie, Hao Wang, Minghao Fang, Ruize Yu, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2025KDDMulti-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction.Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen
2025WWWHyperGate: Hierarchical Perceptive Gating Network for Multi-domain Multi-task Recommendation.Xu Huang, Xiaolong Chen, Yichao Wang, Weiwen Liu, Yang Yang, Xingmei Wang, Defu Lian, Ruiming Tang
2025WWWFitting Into Any Shape: A Flexible LLM-Based Re-Ranker With Configurable Depth and Width.Zheng Liu, Chaofan Li, Shitao Xiao, Chaozhuo Li, Chen Jason Zhang, Hao Liao, Defu Lian, Yingxia Shao
2025WWWMemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation.Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang
2025WWWGenerative Large Recommendation Models: Emerging Trends in LLMs for Recommendation.Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen
2025WWWFuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer.Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2025WWWMIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling.Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen
2025SIGIRDLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction.Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen
2025SIGIRKilling Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model.Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen
2025WSDMCross-Domain Pre-training with Language Models for Transferable Time Series Representations.Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian
2025WSDMDimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2025WSDMLighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.Chenyuan Wu, Ninglu Shao, Zheng Liu, Shitao Xiao, Chaozhuo Li, Chen Zhang, Senzhang Wang, Defu Lian
2024AAAIAT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
2024AAAIFederated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users.Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen
2024ACLM3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu
2024ACLLlama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval.Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian
2024ACLUnderstanding and Patching Compositional Reasoning in LLMs.Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
2024ACLMitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning.Chenyuan Wu, Gangwei Jiang, Defu Lian
2024ACLOn the Vulnerability of Safety Alignment in Open-Access LLMs.Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu
2024ACLBenchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation.Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
2024CIKMUniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen
2024CIKMMulti-Task Recommendation with Task Information Decoupling.Ruiran Yan, Rui Fan, Defu Lian
2024DASFAADocument Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE.Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian
2024DASFAAA Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation.Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen
2024EMNLPEvaluating Readability and Faithfulness of Concept-based Explanations.Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang
2024EMNLPMitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing.Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei
2024ICLRNoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation.Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
2024ICMLLearning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation.Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen
2024IJCAIAdaptive Order Q-learning.Tao Tan, Hong Xie, Defu Lian
2024KDDRecExplainer: Aligning Large Language Models for Explaining Recommendation Models.Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie
2024KDDDataset Regeneration for Sequential Recommendation.Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen
2024WWWEfficient Noise-Decoupling for Multi-Behavior Sequential Recommendation.Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
2024WWWA Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems.Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie
2024WWWAligning Language Models for Versatile Text-based Item Retrieval.Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie
2024WWWInformation Retrieval Meets Large Language Models.Zheng Liu, Yujia Zhou, Yutao Zhu, Jianxun Lian, Chaozhuo Li, Zhicheng Dou, Defu Lian, Jian-Yun Nie
2024SIGIRC-Pack: Packed Resources For General Chinese Embeddings.Shitao Xiao, Zheng Liu, Peitian Zhang, Niklas Muennighoff, Defu Lian, Jian-Yun Nie
2024WISEMDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation.Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen
2023AAAIQuery-Aware Quantization for Maximum Inner Product Search.Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen
2023ACLLearning to Substitute Spans towards Improving Compositional Generalization.Zhaoyi Li, Ying Wei, Defu Lian
2023CIKMBatch-Mix Negative Sampling for Learning Recommendation Retrievers.Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng
2023CIKMDeep Task-specific Bottom Representation Network for Multi-Task Recommendation.Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian
2023CIKMAPGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation.Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen
2023DASFAAGUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation.Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen
2023DASFAACache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders.Yucheng Li, Defu Lian, Jin Chen
2023ECAIGridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction.Chaoqun Su, Chenwang Wu, Defu Lian
2023EMNLPTowards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts.Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
2023ICDEHierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd.Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu
2023ICLRLearned Index with Dynamic $\epsilon$.Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou
2023IJCAIKMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification.Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen
2023KDDLearning Balanced Tree Indexes for Large-Scale Vector Retrieval.Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen
2023KDDA Causality Inspired Framework for Model Interpretation.Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen
2023RecSysA Simple and Robust Ensemble For Click-Through Rate Prediction.Xingmei Wang, Yankai Wang, Defu Lian
2023WWWMembership Inference Attacks Against Sequential Recommender Systems.Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen
2023WWWImproving Recommendation Fairness via Data Augmentation.Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023WWWAutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation.Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen
2023WWWCooperative Retriever and Ranker in Deep Recommenders.Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen
2023WWWDifferentiable Optimized Product Quantization and Beyond.Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen
2023SIGIRRecStudio: 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
2023SIGIRLibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao
2022AAAIAnisotropic Additive Quantization for Fast Inner Product Search.Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen
2022ACLVisualizing the Relationship Between Encoded Linguistic Information and Task Performance.Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu
2022ACLInvestigating Data Variance in Evaluations of Automatic Machine Translation Metrics.Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi
2022CIDRA Unified Transferable Model for ML-Enhanced DBMS.Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou
2022DASFAAAttention-Cooperated Reinforcement Learning for Multi-agent Path Planning.Jinchao Ma, Defu Lian
2022ICDETMN: Trajectory Matching Networks for Predicting Similarity.Peilun Yang, Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Wenjie Zhang
2022KSEMAdversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation.Lijiao Qin, Defu Lian
2022WWWHRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
2022WWWLearning Recommenders for Implicit Feedback with Importance Resampling.Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen
2022WWWFast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering.Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen
2022WWWProgressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie
2022SIGIRImproving Implicit Alternating Least Squares with Ring-based Regularization.Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen
2022SIGIRForest-based Deep Recommender.Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen
2022SIGIRBSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
2022SIGIRDistill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie
2022SIGIRNAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction.Guanghui Zhu, Feng Cheng, Defu Lian, Chunfeng Yuan, Yihua Huang
2022WISETowards Robust Recommender Systems via Triple Cooperative Defense.Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen
2021AAAIEfficient Optimal Selection for Composited Advertising Creatives with Tree Structure.Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021ACLAssessing Dialogue Systems with Distribution Distances.Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu
2021CIKMA Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao
2021EMNLPMatching-oriented Embedding Quantization For Ad-hoc Retrieval.Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie
2021IJCAIPreference-Adaptive Meta-Learning for Cold-Start Recommendation.Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen
2021KDDOnline Additive Quantization.Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen
2021KDDTriple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems.Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen
2021WWWAutomated Creative Optimization for E-Commerce Advertising.Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng
2021WWWA Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising.Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
2021WWWLinear-Time Self Attention with Codeword Histogram for Efficient Recommendation.Yongji Wu, Defu Lian, Neil Zhenqiang Gong, Lu Yin, Mingyang Yin, Jingren Zhou, Hongxia Yang
2021SIGIRLearning Recommender Systems with Implicit Feedback via Soft Target Enhancement.Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
2021SIGIRxLightFM: Extremely Memory-Efficient Factorization Machine.Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen
2021SIGIRFight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training.Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan
2021WSDMFederated Deep Knowledge Tracing.Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang
2020AAAIA Variational Point Process Model for Social Event Sequences.Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen
2020AAAIGraph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection.Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen
2020APWEBPredicting Human Mobility with Self-attention and Feature Interaction.Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen
2020ICDMOnline Optimized Product Quantization.Chong Liu, Defu Lian, Min Nie, Hu Xia
2020IJCAIGoGNN: Graph of Graphs Neural Network for Predicting Structured Entity Interactions.Hanchen Wang, Defu Lian, Ying Zhang, Lu Qin, Xuemin Lin
2020KDDGeography-Aware Sequential Location Recommendation.Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen
2020WWWPersonalized Ranking with Importance Sampling.Defu Lian, Qi Liu, Enhong Chen
2020WWWLightRec: A Memory and Search-Efficient Recommender System.Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie
2020SIGIROctopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.Zheng Liu, Jianxun Lian, Junhan Yang, Defu Lian, Xing Xie
2020SIGIRLearning to Transfer Graph Embeddings for Inductive Graph based Recommendation.Le Wu, Yonghui Yang, Lei Chen, Defu Lian, Richang Hong, Meng Wang
2019AAAIPreference-Aware Task Assignment in Spatial Crowdsourcing.Yan Zhao, Jinfu Xia, Guanfeng Liu, Han Su, Defu Lian, Shuo Shang, Kai Zheng
2019AAAIImproving One-Class Collaborative Filtering via Ranking-Based Implicit Regularizer.Jin Chen, Defu Lian, Kai Zheng
2019AAAIAdversarial Binary Collaborative Filtering for Implicit Feedback.Haoyu Wang, Nan Shao, Defu Lian
2019CIKMInternational Workshop on Model Selection and Parameter Tuning in Recommender Systems.Fikret Sivrikaya, Sahin Albayrak, Defu Lian
2019IJCAIBinarized Collaborative Filtering with Distilling Graph Convolutional Network.Haoyu Wang, Defu Lian, Yong Ge
2019IJCAIGraph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference.Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen
2019KDDMCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
2018AAAISparse Modeling-Based Sequential Ensemble Learning for Effective Outlier Detection in High-Dimensional Numeric Data.Guansong Pang, Longbing Cao, Ling Chen, Defu Lian, Huan Liu
2018AAAIAttention-Based Transactional Context Embedding for Next-Item Recommendation.Shoujin Wang, Liang Hu, Longbing Cao, Xiaoshui Huang, Defu Lian, Wei Liu
2018DASFAAMT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu
2018ICDMBinarized attributed network embedding.Hong Yang, Shirui Pan, Peng Zhang, Ling Chen, Defu Lian, Chengqi Zhang
2018KDDHigh-order Proximity Preserving Information Network Hashing.Defu Lian, Kai Zheng, Vincent W. Zheng, Yong Ge, Longbing Cao, Ivor W. Tsang, Xing Xie
2018KDDNeural Memory Streaming Recommender Networks with Adversarial Training.Qinyong Wang, Hongzhi Yin, Zhiting Hu, Defu Lian, Hao Wang, Zi Huang
2018KDDDiscrete Ranking-based Matrix Factorization with Self-Paced Learning.Yan Zhang, Haoyu Wang, Defu Lian, Ivor W. Tsang, Hongzhi Yin, Guowu Yang
2018UICSpatial-Aware Deep Recommender System.Steven Mudda, Defu Lian, Silvia Giordano, Danyang Liu, Xing Xie
2018WSDMDiscrete Deep Learning for Fast Content-Aware Recommendation.Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian
2017AAAIDiscrete Personalized Ranking for Fast Collaborative Filtering from Implicit Feedback.Yan Zhang, Defu Lian, Guowu Yang
2017DASFAAGPS-Simulated Trajectory Detection.Han Su, Wei Chen, Rong Liu, Min Nie, Bolong Zheng, Zehao Huang, Defu Lian
2017DASFAAPredicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network.Huaxiu Yao, Min Nie, Han Su, Hu Xia, Defu Lian
2017IJCAILearning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach.Huayu Li, Yong Ge, Defu Lian, Hao Liu
2017KDDDiscrete Content-aware Matrix Factorization.Defu Lian, Rui Liu, Yong Ge, Kai Zheng, Xing Xie, Longbing Cao
2016APWEBForecasting Career Choice for College Students Based on Campus Big Data.Min Nie, Lei Yang, Bin Ding, Hu Xia, Huachun Xu, Defu Lian
2016GLOBECOMConstraint Free Preference Preserving Hashing for Fast Recommendation.Yan Zhang, Guowu Yang, Defu Lian, Hong Wen, Jinsong Wu
2016ICDMMutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong
2016ICDMRegularized Content-Aware Tensor Factorization Meets Temporal-Aware Location Recommendation.Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie
2016IJCAISparse Bayesian Content-Aware Collaborative Filtering for Implicit Feedback.Defu Lian, Yong Ge, Nicholas Jing Yuan, Xing Xie, Hui Xiong
2016IJCAIA Relaxed Ranking-Based Factor Model for Recommender System from Implicit Feedback.Huayu Li, Richang Hong, Defu Lian, Zhiang Wu, Meng Wang, Yong Ge
2016KDDCollaborative Knowledge Base Embedding for Recommender Systems.Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, Wei-Ying Ma
2016WWWExploiting Dining Preference for Restaurant Recommendation.Fuzheng Zhang, Nicholas Jing Yuan, Kai Zheng, Defu Lian, Xing Xie, Yong Rui
2015ICDMContent-Aware Collaborative Filtering for Location Recommendation Based on Human Mobility Data.Defu Lian, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan, Xing Xie, Tao Zhou, Yong Rui
2015ICDMLifting the Predictability of Human Mobility on Activity Trajectories.Xianming Li, Defu Lian, Xing Xie, Guangzhong Sun
2015KDDRegularity and Conformity: Location Prediction Using Heterogeneous Mobility Data.Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui
2014KDDGeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation.Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui
2014PAKDDAnalyzing Location Predictability on Location-Based Social Networks.Defu Lian, Yin Zhu, Xing Xie, Enhong Chen
2014WWWMining novelty-seeking trait across heterogeneous domains.Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie
2013WWWCollaborative filtering meets next check-in location prediction.Defu Lian, Vincent Wenchen Zheng, Xing Xie