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2020 – today
- 2024
- [j39]Yongzhang Wang, Defu Lian, Enhong Chen:
Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. 38(1) (2024) - [j38]Chenwang Wu
, Defu Lian
, Yong Ge
, Min Zhou
, Enhong Chen
, Dacheng Tao
:
Boosting Factorization Machines via Saliency-Guided Mixup. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4443-4459 (2024) - [j37]Rong Zhu, Lianggui Weng, Wenqing Wei, Di Wu, Jiazhen Peng, Yifan Wang, Bolin Ding, Defu Lian, Bolong Zheng, Jingren Zhou:
PilotScope: Steering Databases with Machine Learning Drivers. Proc. VLDB Endow. 17(5): 980-993 (2024) - [j36]Chenwang Wu
, Defu Lian
, Yong Ge
, Min Zhou
, Enhong Chen
:
Attacking Social Media via Behavior Poisoning. ACM Trans. Knowl. Discov. Data 18(7): 169 (2024) - [j35]Xiaoyu Shi
, Quanliang Liu
, Hong Xie
, Di Wu
, Bo Peng
, Mingsheng Shang
, Defu Lian
:
Relieving Popularity Bias in Interactive Recommendation: A Diversity-Novelty-Aware Reinforcement Learning Approach. ACM Trans. Inf. Syst. 42(2): 52:1-52:30 (2024) - [j34]Pengyang Shao
, Le Wu
, Kun Zhang
, Defu Lian
, Richang Hong
, Yong Li
, Meng Wang
:
Average User-Side Counterfactual Fairness for Collaborative Filtering. ACM Trans. Inf. Syst. 42(5): 140:1-140:26 (2024) - [j33]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen:
When large language models meet personalization: perspectives of challenges and opportunities. World Wide Web (WWW) 27(4): 42 (2024) - [c131]Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei:
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. AAAI 2024: 8787-8795 - [c130]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. AAAI 2024: 20596-20603 - [c129]Jianlyu Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu:
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. ACL (Findings) 2024: 2318-2335 - [c128]Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian:
Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval. ACL (1) 2024: 3490-3500 - [c127]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) 2024: 6486-6517 - [c126]Jingwei Yi, Rui Ye, Qisi Chen, Bin Zhu, Siheng Chen, Defu Lian, Guangzhong Sun, Xing Xie, Fangzhao Wu:
On the Vulnerability of Safety Alignment in Open-Access LLMs. ACL (Findings) 2024: 9236-9260 - [c125]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) 2024: 9668-9688 - [c124]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. ACL (Findings) 2024: 10944-10959 - [c123]Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han:
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. ICLR 2024 - [c122]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. MLSys 2024 - [c121]Shitao Xiao
, Zheng Liu
, Peitian Zhang
, Niklas Muennighoff
, Defu Lian
, Jian-Yun Nie
:
C-Pack: Packed Resources For General Chinese Embeddings. SIGIR 2024: 641-649 - [c120]Yuxuan Lei
, Jianxun Lian
, Jing Yao
, Mingqi Wu
, Defu Lian
, Xing Xie
:
Aligning Language Models for Versatile Text-based Item Retrieval. WWW (Companion Volume) 2024: 935-938 - [c119]Zheng Liu
, Yujia Zhou
, Yutao Zhu
, Jianxun Lian
, Chaozhuo Li
, Zhicheng Dou
, Defu Lian
, Jian-Yun Nie
:
Information Retrieval Meets Large Language Models. WWW (Companion Volume) 2024: 1586-1589 - [c118]Xu Huang, Jianxun Lian, Hao Wang, Hao Liao, Defu Lian, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. WWW 2024: 3129-3138 - [c117]Yongqiang Han
, Hao Wang
, Kefan Wang
, Likang Wu
, Zhi Li
, Wei Guo
, Yong Liu
, Defu Lian
, Enhong Chen
:
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. WWW 2024: 3297-3306 - [i87]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i86]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Hao Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
Understanding the planning of LLM agents: A survey. CoRR abs/2402.02716 (2024) - [i85]Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu Lian, Zheng Liu
:
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation. CoRR abs/2402.03216 (2024) - [i84]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. CoRR abs/2402.14328 (2024) - [i83]Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen:
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. CoRR abs/2402.16312 (2024) - [i82]Yuxuan Lei, Jianxun Lian, Jing Yao, Mingqi Wu, Defu Lian, Xing Xie:
Aligning Language Models for Versatile Text-based Item Retrieval. CoRR abs/2402.18899 (2024) - [i81]Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han:
NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. CoRR abs/2403.08840 (2024) - [i80]Guanghua Li, Wensheng Lu, Wei Zhang, Defu Lian, Kezhong Lu, Rui Mao, Kai Shu, Hao Liao:
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors. CoRR abs/2403.09747 (2024) - [i79]Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. CoRR abs/2403.17603 (2024) - [i78]Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen:
A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. CoRR abs/2404.00268 (2024) - [i77]Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao:
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR abs/2404.04232 (2024) - [i76]Xu Huang, Weiwen Liu, Xiaolong Chen, Xingmei Wang, Defu Lian, Yasheng Wang, Ruiming Tang, Enhong Chen:
WESE: Weak Exploration to Strong Exploitation for LLM Agents. CoRR abs/2404.07456 (2024) - [i75]Zhihao Zhu, Ninglu Shao, Defu Lian, Chenwang Wu, Zheng Liu, Yi Yang, Enhong Chen:
Understanding Privacy Risks of Embeddings Induced by Large Language Models. CoRR abs/2404.16587 (2024) - [i74]Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang:
Evaluating Concept-based Explanations of Language Models: A Study on Faithfulness and Readability. CoRR abs/2404.18533 (2024) - [i73]Yichen Qian, Yongyi He, Rong Zhu, Jintao Huang, Zhijian Ma, Haibin Wang, Yaohua Wang, Xiuyu Sun, Defu Lian, Bolin Ding, Jingren Zhou:
UniDM: A Unified Framework for Data Manipulation with Large Language Models. CoRR abs/2405.06510 (2024) - [i72]Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang:
CELA: Cost-Efficient Language Model Alignment for CTR Prediction. CoRR abs/2405.10596 (2024) - [i71]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Zhi Li, Sirui Zhao, Defu Lian, Enhong Chen:
Learning Partially Aligned Item Representation for Cross-Domain Sequential Recommendation. CoRR abs/2405.12473 (2024) - [i70]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. CoRR abs/2405.17795 (2024) - [i69]Tianjing Zeng, Junwei Lan, Jiahong Ma, Wenqing Wei, Rong Zhu, Pengfei Li, Bolin Ding, Defu Lian, Zhewei Wei, Jingren Zhou:
PRICE: A Pretrained Model for Cross-Database Cardinality Estimation. CoRR abs/2406.01027 (2024) - [i68]Tingjia Shen, Hao Wang, Jiaqing Zhang, Sirui Zhao, Liangyue Li, Zulong Chen, Defu Lian, Enhong Chen:
Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation. CoRR abs/2406.03085 (2024) - [i67]Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei:
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. CoRR abs/2406.12227 (2024) - [i66]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. CoRR abs/2406.12251 (2024) - [i65]Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen:
Foundations and Frontiers of Graph Learning Theory. CoRR abs/2407.03125 (2024) - [i64]Mingjia Yin, Chuhan Wu, Yufei Wang, Hao Wang, Wei Guo, Yasheng Wang, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
Entropy Law: The Story Behind Data Compression and LLM Performance. CoRR abs/2407.06645 (2024) - [i63]Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian:
Dual Test-time Training for Out-of-distribution Recommender System. CoRR abs/2407.15620 (2024) - [i62]Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CoRR abs/2407.16160 (2024) - 2023
- [j32]Chenwang Wu
, Defu Lian
, Yong Ge
, Zhihao Zhu
, Enhong Chen
:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j31]Fulan Qian
, Bei Yuan
, Hai Chen
, Jie Chen, Defu Lian
, Shu Zhao
:
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems. IEEE Trans. Big Data 9(5): 1276-1287 (2023) - [j30]Hao Wang
, Defu Lian
, Hanghang Tong, Qi Liu
, Zhenya Huang
, Enhong Chen
:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j29]Defu Lian
, Zhihao Zhu
, Kai Zheng
, Yong Ge
, Xing Xie
, Enhong Chen
:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j28]Shoujin Wang
, Yan Wang
, Liang Hu, Xiuzhen Zhang, Qi Zhang
, Quan Z. Sheng
, Mehmet A. Orgun
, Longbing Cao
, Defu Lian
:
Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023) - [j27]Leyan Deng
, Chenwang Wu
, Defu Lian
, Yongji Wu, Enhong Chen
:
Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12310-12322 (2023) - [j26]Zhe Tang
, Yi Yang
, Wen Li
, Defu Lian
, Lixin Duan:
Deep Cross-Attention Network for Crowdfunding Success Prediction. IEEE Trans. Multim. 25: 1306-1319 (2023) - [j25]Chao Feng, Defu Lian
, Xiting Wang, Zheng Liu
, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j24]Zhenya Huang
, Binbin Jin
, Hongke Zhao
, Qi Liu
, Defu Lian
, Tengfei Bao
, Enhong Chen
:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. 41(2): 44:1-44:29 (2023) - [j23]Liyang He
, Zhenya Huang
, Enhong Chen
, Qi Liu
, Shiwei Tong
, Hao Wang
, Defu Lian
, Shijin Wang
:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41(4): 91:1-91:31 (2023) - [j22]Qingyang Wang, Chenwang Wu, Defu Lian
, Enhong Chen:
Securing recommender system via cooperative training. World Wide Web (WWW) 26(6): 3915-3943 (2023) - [c116]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c115]Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. ACL (1) 2023: 2791-2811 - [c114]Yongfu Fan
, Jin Chen
, Yongquan Jiang
, Defu Lian
, Fangda Guo
, Kai Zheng
:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM 2023: 494-503 - [c113]Qi Liu
, Zhilong Zhou
, Gangwei Jiang
, Tiezheng Ge
, Defu Lian
:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CIKM 2023: 1637-1646 - [c112]Mingjia Yin
, Hao Wang
, Xiang Xu
, Likang Wu
, Sirui Zhao
, Wei Guo
, Yong Liu
, Ruiming Tang
, Defu Lian
, Enhong Chen
:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c111]Yucheng Li, Defu Lian
, Jin Chen:
Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. DASFAA (Workshops) 2023: 95-108 - [c110]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian
, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c109]Chaoqun Su, Chenwang Wu, Defu Lian
:
GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI 2023: 2218-2225 - [c108]Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei:
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) 2023: 12081-12095 - [c107]Haodi Zhang
, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang
, Defu Lian
, Kaishun Wu:
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. ICDE 2023: 1234-1246 - [c106]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c105]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c104]Wuchao Li
, Chao Feng
, Defu Lian
, Yuxin Xie
, Haifeng Liu
, Yong Ge
, Enhong Chen
:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c103]Chenwang Wu
, Xiting Wang
, Defu Lian
, Xing Xie
, Enhong Chen
:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c102]Zepu Lu, Jin Chen, Defu Lian, Zaixi Zhang, Yong Ge, Enhong Chen:
Knowledge Distillation for High Dimensional Search Index. NeurIPS 2023 - [c101]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023 - [c100]Xingmei Wang
, Yankai Wang
, Defu Lian
:
A Simple and Robust Ensemble For Click-Through Rate Prediction. RecSys Challenge 2023: 14-17 - [c99]Defu Lian
, Xu Huang
, Xiaolong Chen
, Jin Chen
, Xingmei Wang
, Yankai Wang
, Haoran Jin
, Rui Fan
, Zheng Liu
, Le Wu
, Enhong Chen
:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c98]Chaofan Li
, Zheng Liu
, Shitao Xiao
, Yingxia Shao
, Defu Lian
, Zhao Cao
:
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - [c97]Lei Chen
, Le Wu
, Kun Zhang
, Richang Hong
, Defu Lian
, Zhiqiang Zhang
, Jun Zhou
, Meng Wang
:
Improving Recommendation Fairness via Data Augmentation. WWW 2023: 1012-1020 - [c96]Rui Fan
, Yuanhao Pu
, Jin Chen
, Zhihao Zhu
, Defu Lian
, Enhong Chen
:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW 2023: 1032-1042 - [c95]Xu Huang
, Defu Lian
, Jin Chen
, Zheng Liu
, Xing Xie
, Enhong Chen
:
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [c94]Zhihao Zhu
, Chenwang Wu
, Rui Fan
, Defu Lian
, Enhong Chen
:
Membership Inference Attacks Against Sequential Recommender Systems. WWW 2023: 1208-1219 - [c93]Zepu Lu
, Defu Lian
, Jin Zhang
, Zaixi Zhang
, Chao Feng
, Hao Wang
, Enhong Chen
:
Differentiable Optimized Product Quantization and Beyond. WWW 2023: 3353-3363 - [i61]Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian
, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Improving Recommendation Fairness via Data Augmentation. CoRR abs/2302.06333 (2023) - [i60]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian
, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i59]Moritz Neun, Christian Eichenberger
, Henry Martin
, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian
, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 - Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. CoRR abs/2303.07758 (2023) - [i58]Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. CoRR abs/2306.02840 (2023) - [i57]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence. CoRR abs/2307.05623 (2023) - [i56]Jin Chen, Zheng Liu
, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian
, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i55]Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian
:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CoRR abs/2308.05996 (2023) - [i54]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian
, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. CoRR abs/2308.08563 (2023) - [i53]Xu Huang, Jianxun Lian, Yuxuan Lei, Jing Yao, Defu Lian
, Xing Xie:
Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations. CoRR abs/2308.16505 (2023) - [i52]Jin Zhang, Defu Lian
, Hong Xie, Yawen Li, Enhong Chen:
Interactive Graph Convolutional Filtering. CoRR abs/2309.01453 (2023) - [i51]Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian
, Zheng Wang, Jieping Ye, Feng Wu:
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR abs/2309.14907 (2023) - [i50]Yichang Xu, Chenwang Wu, Defu Lian
:
Toward Robust Recommendation via Real-time Vicinal Defense. CoRR abs/2309.17278 (2023) - [i49]Zheli Xiong, Defu Lian
, Enhong Chen, Gang Chen, Xiaomin Cheng:
Large-Scale OD Matrix Estimation with A Deep Learning Method. CoRR abs/2310.05753 (2023) - [i48]Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian
, Ying Wei:
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt. CoRR abs/2310.13024 (2023) - [i47]Xu Huang, Jianxun Lian, Hao Wang
, Defu Lian
, Xing Xie:
A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems. CoRR abs/2310.13260 (2023) - [i46]Shi Yin, Shijie Huan, Defu Lian
, Shangfei Wang, Jinshui Hu, Tao Guo, Bing Yin, Baocai Yin, Cong Liu:
1DFormer: Learning 1D Landmark Representations via Transformer for Facial Landmark Tracking. CoRR abs/2311.00241 (2023) - [i45]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian
, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CoRR abs/2311.02816 (2023) - [i44]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian
, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023) - [i43]Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian
, Tan Qu, Jia Cheng, Jun Lei:
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction. CoRR abs/2311.10764 (2023) - [i42]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian
, Xing Xie:
RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability. CoRR abs/2311.10947 (2023) - [i41]Ruimeng Li, Yuanhao Pu, Zhaoyi Li, Hong Xie, Defu Lian
:
Invariant Representation Learning via Decoupling Style and Spurious Features. CoRR abs/2312.06226 (2023) - [i40]Qi Liu, Xuyang Hou, Defu Lian
, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei:
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction. CoRR abs/2312.06683 (2023) - [i39]Zhihao Zhu, Chenwang Wu, Rui Fan, Yi Yang, Defu Lian
, Enhong Chen:
Model Stealing Attack against Graph Classification with Authenticity, Uncertainty and Diversity. CoRR abs/2312.10943 (2023) - [i38]Zhihao Zhu, Rui Fan, Chenwang Wu, Yi Yang, Defu Lian
, Enhong Chen:
Model Stealing Attack against Recommender System. CoRR abs/2312.11571 (2023) - 2022
- [j21]Shoujin Wang
, Longbing Cao
, Yan Wang
, Quan Z. Sheng
, Mehmet A. Orgun
, Defu Lian
:
A Survey on Session-based Recommender Systems. ACM Comput. Surv. 54(7): 154:1-154:38 (2022) - [j20]Yan Zhang
, Ivor W. Tsang
, Hongzhi Yin
, Guowu Yang
, Defu Lian
, Jingjing Li
:
Deep Pairwise Hashing for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(7): 3169-3181 (2022) - [j19]Defu Lian
, Jin Chen, Kai Zheng
, Enhong Chen
, Xiaofang Zhou
:
Ranking-Based Implicit Regularization for One-Class Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 34(12): 5951-5963 (2022) - [j18]Leyan Deng
, Defu Lian
, Zhenya Huang
, Enhong Chen
:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2416-2428 (2022) - [j17]Hao Wang, Defu Lian
, Hanghang Tong, Qi Liu, Zhenya Huang
, Enhong Chen:
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation. ACM Trans. Inf. Syst. 40(2): 24:1-24:28 (2022) - [j16]Hanchen Wang, Defu Lian
, Wanqi Liu, Dong Wen
, Chen Chen
, Xiaoyang Wang
:
Powerful graph of graphs neural network for structured entity analysis. World Wide Web 25(2): 609-629 (2022) - [c92]Jin Zhang
, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen:
Anisotropic Additive Quantization for Fast Inner Product Search. AAAI 2022: 4354-4362 - [c91]Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian, Shuming Shi:
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. ACL (Findings) 2022: 150-157 - [c90]Jiannan Xiang, Huayang Li, Defu Lian, Guoping Huang, Taro Watanabe, Lemao Liu:
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. ACL (Findings) 2022: 410-422 - [c89]Ziniu Wu, Pei Yu, Peilun Yang, Rong Zhu, Yuxing Han, Yaliang Li, Defu Lian, Kai Zeng, Jingren Zhou:
A Unified Transferable Model for ML-Enhanced DBMS. CIDR 2022 - [c88]Jinchao Ma, Defu Lian
:
Attention-Cooperated Reinforcement Learning for Multi-agent Path Planning. DASFAA (Workshops) 2022: 272-290 - [c87]Peilun Yang, Hanchen Wang, Defu Lian
, Ying Zhang
, Lu Qin
, Wenjie Zhang
:
TMN: Trajectory Matching Networks for Predicting Similarity. ICDE 2022: 1700-1713 - [c86]Lijiao Qin, Defu Lian
:
Adversarial Cycle-Consistent Autoencoder for Category-Aware Out-of-Town Recommendation. KSEM (3) 2022: 501-515 - [c85]Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei
, Defu Lian
:
Self-Supervised Text Erasing with Controllable Image Synthesis. ACM Multimedia 2022: 1973-1983 - [c84]Shiyao Wang, Qi Liu, Yicheng Zhong, Zhilong Zhou, Tiezheng Ge, Defu Lian
, Yuning Jiang:
CreaGAN: An Automatic Creative Generation Framework for Display Advertising. ACM Multimedia 2022: 7261-7269 - [c83]Jin Chen, Defu Lian, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. NeurIPS 2022 - [c82]Leyan Deng, Defu Lian, Chenwang Wu, Enhong Chen:
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy. NeurIPS 2022 - [c81]Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen:
Recommender Forest for Efficient Retrieval. NeurIPS 2022 - [c80]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian
, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. ECML/PKDD (3) 2022: 251-268 - [c79]Rui Fan
, Jin Chen, Jin Zhang
, Defu Lian
, Enhong Chen:
Improving Implicit Alternating Least Squares with Ring-based Regularization. SIGIR 2022: 102-111 - [c78]Guanghui Zhu, Feng Cheng, Defu Lian
, Chunfeng Yuan, Yihua Huang:
NAS-CTR: Efficient Neural Architecture Search for Click-Through Rate Prediction. SIGIR 2022: 332-342 - [c77]Chao Feng, Defu Lian
, Zheng Liu
, Xing Xie, Le Wu, Enhong Chen:
Forest-based Deep Recommender. SIGIR 2022: 523-532 - [c76]Shitao Xiao, Zheng Liu
, Weihao Han, Jianjin Zhang, Defu Lian
, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. SIGIR 2022: 1513-1523 - [c75]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian
, Zengfeng Huang
:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR 2022: 2053-2058 - [c74]Qingyang Wang, Defu Lian
, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. WISE 2022: 564-578 - [c73]Shitao Xiao, Zheng Liu
, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian
, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. WWW 2022: 286-296 - [c72]Jin Chen, Defu Lian
, Binbin Jin, Xu Huang
, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. WWW 2022: 1944-1954 - [c71]Jin Chen, Defu Lian
, Binbin Jin, Kai Zheng, Enhong Chen:
Learning Recommenders for Implicit Feedback with Importance Resampling. WWW 2022: 1997-2005 - [c70]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian
, Irwin King
:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW 2022: 2462-2471 - [i37]Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Chaozhuo Li, Yingxia Shao, Defu Lian, Xing Xie, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang:
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. CoRR abs/2201.05409 (2022) - [i36]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. CoRR abs/2201.09290 (2022) - [i35]Junhan Yang, Zheng Liu, Shitao Xiao, Jianxun Lian, Lijun Wu, Defu Lian, Guangzhong Sun, Xing Xie:
A Mutually Reinforced Framework for Pretrained Sentence Embeddings. CoRR abs/2202.13802 (2022) - [i34]Jiannan Xiang, Huayang Li, Yahui Liu, Lemao Liu, Guoping Huang, Defu Lian
, Shuming Shi:
Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics. CoRR abs/2203.15858 (2022) - [i33]Jiannan Xiang, Huayang Li, Defu Lian
, Guoping Huang, Taro Watanabe, Lemao Liu:
Visualizing the Relationship Between Encoded Linguistic Information and Task Performance. CoRR abs/2203.15860 (2022) - [i32]Shitao Xiao, Zheng Liu
, Weihao Han, Jianjin Zhang, Defu Lian
, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Denvy Deng, Qi Zhang, Xing Xie:
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. CoRR abs/2204.00185 (2022) - [i31]Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian
, Irwin King
:
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR abs/2204.08176 (2022) - [i30]Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian
, Zengfeng Huang
:
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR abs/2204.09508 (2022) - [i29]Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian
:
Self-Supervised Text Erasing with Controllable Image Synthesis. CoRR abs/2204.12743 (2022) - [i28]Jin Chen, Defu Lian
, Yucheng Li, Baoyun Wang, Kai Zheng, Enhong Chen:
Cache-Augmented Inbatch Importance Resampling for Training Recommender Retriever. CoRR abs/2205.14859 (2022) - [i27]Chenwang Wu, Defu Lian
, Yong Ge, Min Zhou, Enhong Chen, Dacheng Tao:
Boosting Factorization Machines via Saliency-Guided Mixup. CoRR abs/2206.08661 (2022) - [i26]Xu Huang, Defu Lian
, Jin Chen, Zheng Liu
, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. CoRR abs/2206.14649 (2022) - [i25]Qingyang Wang, Defu Lian
, Chenwang Wu, Enhong Chen:
Towards Robust Recommender Systems via Triple Cooperative Defense. CoRR abs/2210.13762 (2022) - [i24]Leyan Deng, Chenwang Wu, Defu Lian
, Min Zhou:
Transposed Variational Auto-encoder with Intrinsic Feature Learning for Traffic Forecasting. CoRR abs/2211.00641 (2022) - [i23]Zhihao Zhu, Chenwang Wu, Min Zhou, Hao Liao, Defu Lian
, Enhong Chen:
Resisting Graph Adversarial Attack via Cooperative Homophilous Augmentation. CoRR abs/2211.08068 (2022) - 2021
- [j15]Shuo Tao, Jingang Jiang, Defu Lian
, Kai Zheng, Enhong Chen
:
Predicting Human Mobility with Reinforcement-Learning-Based Long-Term Periodicity Modeling. ACM Trans. Intell. Syst. Technol. 12(6): 78:1-78:23 (2021) - [j14]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) - [j13]Defu Lian
, Xing Xie, Enhong Chen
, Hui Xiong:
Product Quantized Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(9): 3284-3296 (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) - [c69]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 - [c68]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. ACL/IJCNLP (Findings) 2021: 2192-2198 - [c67]Haoyu Wang, Yaqing Wang, Defu Lian
, Jing Gao:
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM 2021: 1909-1918 - [c66]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Matching-oriented Embedding Quantization For Ad-hoc Retrieval. EMNLP (1) 2021: 8119-8129 - [c65]Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen:
Preference-Adaptive Meta-Learning for Cold-Start Recommendation. IJCAI 2021: 1607-1614 - [c64]Qi Liu, Jin Zhang
, Defu Lian
, Yong Ge, Jianhui Ma, Enhong Chen
:
Online Additive Quantization. KDD 2021: 1098-1108 - [c63]Chenwang Wu, Defu Lian
, Yong Ge, Zhihao Zhu, Enhong Chen
:
Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. KDD 2021: 1830-1840 - [c62]Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David P. Kreil, Sepp Hochreiter:
Traffic4cast at NeurIPS 2022 – Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors. NeurIPS (Competition and Demos) 2021: 251-278 - [c61]Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn:
Meta-learning with an Adaptive Task Scheduler. NeurIPS 2021: 7497-7509 - [c60]Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie:
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph. NeurIPS 2021: 28798-28810 - [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 - [i22]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) - [i21]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) - [i20]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) - [i19]Shitao Xiao, Zheng Liu, Yingxia Shao, Defu Lian, Xing Xie:
Search-oriented Differentiable Product Quantization. CoRR abs/2104.07858 (2021) - [i18]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) - [i17]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) - [i16]Jiannan Xiang, Yahui Liu, Deng Cai, Huayang Li, Defu Lian, Lemao Liu:
Assessing Dialogue Systems with Distribution Distances. CoRR abs/2105.02573 (2021) - [i15]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) - [i14]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) - [i13]Jin Chen, Binbin Jin, Xu Huang, Defu Lian, Kai Zheng, Enhong Chen:
Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. CoRR abs/2109.05773 (2021) - [i12]Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn:
Meta-learning with an Adaptive Task Scheduler. CoRR abs/2110.14057 (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
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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