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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) - [c134]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 - [c133]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 - [c132]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 - [c131]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 - [c130]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 - [c129]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 - [c128]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) 2024: 9668-9688 - [c127]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. ACL (Findings) 2024: 10944-10959 - [c126]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 - [c125]Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen:
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML 2024 - [c124]Yuxuan Lei, Jianxun Lian, Jing Yao, Xu Huang, Defu Lian, Xing Xie:
RecExplainer: Aligning Large Language Models for Explaining Recommendation Models. KDD 2024: 1530-1541 - [c123]Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen:
Dataset Regeneration for Sequential Recommendation. KDD 2024: 3954-3965 - [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]