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2020 – today
- 2023
[j31]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)- [j30]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) - [j29]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) - [j28]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) - [j27]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) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [c112]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c111]Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. ACL (1) 2023: 2791-2811 - [c110]Yongfu Fan, Jin Chen, Yongquan Jiang, Defu Lian, Fangda Guo, Kai Zheng:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM 2023: 494-503 - [c109]Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CIKM 2023: 1637-1646 - [c108]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 - [c107]Yucheng Li, Defu Lian, Jin Chen:
Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. DASFAA (Workshops) 2023: 95-108 - [c106]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 - [c105]Chaoqun Su, Chenwang Wu, Defu Lian:
GridFormer: Spatial-Temporal Transformer Network for Citywide Crowd Flow Prediction. ECAI 2023: 2218-2225 - [c104]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 - [c103]Daoyuan Chen, Wuchao Li, Yaliang Li, Bolin Ding, Kai Zeng, Defu Lian, Jingren Zhou:
Learned Index with Dynamic $\epsilon$. ICLR 2023 - [c102]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 - [c101]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 - [c100]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [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, Liu Zheng, 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 - [i57]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) - [i56]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) - [i55]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) - [i54]Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. CoRR abs/2306.02840 (2023) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]Jin Zhang, Defu Lian, Hong Xie, Yawen Li, Enhong Chen:
Interactive Graph Convolutional Filtering. CoRR abs/2309.01453 (2023) - [i47]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) - [i46]Yichang Xu, Chenwang Wu, Defu Lian:
Toward Robust Recommendation via Real-time Vicinal Defense. CoRR abs/2309.17278 (2023) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - 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]