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2020 – today
- 2025
[c148]Haodi Zhang, Junyu Yang, Jinyin Nie, Peirou Liang, Kaishun Wu, Defu Lian, Rui Mao, Yuanfeng Song:
Efficient Data Labeling by Hierarchical Crowdsourcing with Large Language Models. COLING 2025: 11290-11303- 2024
- [j43]Yongzhang Wang, Defu Lian, Enhong Chen:
Event Assignment Based on KBQA for Government Service Hotlines. Appl. Artif. Intell. 38(1) (2024) - [j42]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) - [j41]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. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11273-11286 (2024) - [j40]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) - [j39]Haibing Hu, Kai Han, Zhizhuo Yin, Defu Lian:
Spatial and Temporal User Interest Representations for Sequential Recommendation. IEEE Trans. Comput. Soc. Syst. 11(5): 6087-6097 (2024) - [j38]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) - [j37]Defu Lian, Zhenguo Gao, Xia Song, Yucheng Li, Qi Liu, Enhong Chen:
Training Recommenders Over Large Item Corpus With Importance Sampling. IEEE Trans. Knowl. Data Eng. 36(12): 9433-9447 (2024) - [j36]Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang:
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13830-13844 (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) - [c147]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 - [c146]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 - [c145]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 - [c144]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 - [c143]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 - [c142]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 - [c141]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) 2024: 9668-9688 - [c140]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. ACL (Findings) 2024: 10944-10959 - [c139]Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen:
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. CIKM 2024: 1909-1919 - [c138]Ruiran Yan, Rui Fan, Defu Lian:
Multi-Task Recommendation with Task Information Decoupling. CIKM 2024: 2786-2795 - [c137]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. DASFAA (3) 2024: 115-130 - [c136]Jiayang Chen, Qinliang Su, Zetong Li, Hai Wan, Defu Lian:
Document Hashing by Exploiting Noisy Neighborhood Information with Fault-Tolerant Mutual-Information-Preserving VAE. DASFAA (2) 2024: 456-465 - [c135]Meng Li, Haoran Jin, Ruixuan Huang, Zhihao Xu, Defu Lian, Zijia Lin, Di Zhang, Xiting Wang:
Evaluating Readability and Faithfulness of Concept-based Explanations. EMNLP 2024: 607-625 - [c134]Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. EMNLP 2024: 15681-15700 - [c133]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 - [c132]Kaiyu Jin, Chenwang Wu, Defu Lian:
Out-of-Distribution Generalization via Style and Spuriousness Eliminating. ICME 2024: 1-6 - [c131]Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen:
Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. ICML 2024 - [c130]Tao Tan, Hong Xie, Defu Lian:
Adaptive Order Q-learning. IJCAI 2024: 4946-4954 - [c129]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 - [c128]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 - [c127]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 - [c126]Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan:
FilterNet: Harnessing Frequency Filters for Time Series Forecasting. NeurIPS 2024 - [c125]Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen:
Learning from Highly Sparse Spatio-temporal Data. NeurIPS 2024 - [c124]Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen:
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. NeurIPS 2024 - [c123]Jin Zhang, Ze Liu, Defu Lian, Enhong Chen:
Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure. NeurIPS 2024 - [c122]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 - [c121]Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. WISE (3) 2024: 164-178 - [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 - [i110]Qingyang Wang, Chenwang Wu, Defu Lian, Enhong Chen:
Securing Recommender System via Cooperative Training. CoRR abs/2401.12700 (2024) - [i109]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) - [i108]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) - [i107]Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei:
Understanding and Patching Compositional Reasoning in LLMs. CoRR abs/2402.14328 (2024) - [i106]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) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. CoRR abs/2406.12251 (2024) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]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:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR abs/2408.08231 (2024) - [i83]Hong Xie, Jinyu Mo, Defu Lian, Jie Wang, Enhong Chen:
Multi-agent Multi-armed Bandits with Stochastic Sharable Arm Capacities. CoRR abs/2408.10865 (2024) - [i82]Hong Xie, Mingze Zhong, Defu Lian, Zhen Wang, Enhong Chen:
Analytical and Empirical Study of Herding Effects in Recommendation Systems. CoRR abs/2408.10895 (2024) - [i81]Ze Liu, Jin Zhang, Chao Feng, Defu Lian, Jie Wang, Enhong Chen:
Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method. CoRR abs/2408.11345 (2024) - [i80]Hao Wang, Yongqiang Han, Kefan Wang, Kai Cheng, Zhen Wang, Wei Guo, Yong Liu, Defu Lian, Enhong Chen:
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation. CoRR abs/2408.11372 (2024) - [i79]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:
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models. CoRR abs/2408.12153 (2024) - [i78]Qi Liu, Xingyuan Tang, Jianqiang Huang, Xiangqian Yu, Haoran Jin, Jin Chen, Yuanhao Pu, Defu Lian, Tan Qu, Zhe Wang, Jia Cheng, Jun Lei:
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction. CoRR abs/2408.16238 (2024) - [i77]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:
ToolACE: Winning the Points of LLM Function Calling. CoRR abs/2409.00920 (2024) - [i76]Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen:
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models. CoRR abs/2409.13989 (2024) - [i75]Zheng Liu, Chenyuan Wu, Ninglu Shao, Shitao Xiao, Chaozhuo Li, Defu Lian:
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation. CoRR abs/2409.15699 (2024) - [i74]Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu:
Making Text Embedders Few-Shot Learners. CoRR abs/2409.15700 (2024) - [i73]Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen:
MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. CoRR abs/2410.05877 (2024) - [i72]Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei:
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. CoRR abs/2410.07054 (2024) - [i71]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:
RecFlow: An Industrial Full Flow Recommendation Dataset. CoRR abs/2410.20868 (2024) - [i70]Wenjia Xie, Hao Wang, Luankang Zhang, Rui Zhou, Defu Lian, Enhong Chen:
Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model. CoRR abs/2410.23994 (2024) - [i69]Kun Yi, Jingru Fei, Qi Zhang, Hui He, Shufeng Hao, Defu Lian, Wei Fan:
FilterNet: Harnessing Frequency Filters for Time Series Forecasting. CoRR abs/2411.01623 (2024) - [i68]Zhihao Zhu, Yi Yang, Defu Lian:
TDDBench: A Benchmark for Training data detection. CoRR abs/2411.03363 (2024) - [i67]Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen:
Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. CoRR abs/2411.15005 (2024) - [i66]Tingjia Shen, Hao Wang, Chuhan Wu, Jin Yao Chin, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Ruiming Tang, Enhong Chen:
Predictive Models in Sequential Recommendations: Bridging Performance Laws with Data Quality Insights. CoRR abs/2412.00430 (2024) - [i65]Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen:
Scaling New Frontiers: Insights into Large Recommendation Models. CoRR abs/2412.00714 (2024) - [i64]Hongjin Qian, Zheng Liu, Peitian Zhang, Zhicheng Dou, Defu Lian:
Boosting Long-Context Management via Query-Guided Activation Refilling. CoRR abs/2412.12486 (2024) - [i63]Jianlyu Chen, Nan Wang, Chaofan Li, Bo Wang, Shitao Xiao, Han Xiao, Hao Liao, Defu Lian, Zheng Liu:
AIR-Bench: Automated Heterogeneous Information Retrieval Benchmark. CoRR abs/2412.13102 (2024) - [i62]Junjie Zhou, Zheng Liu, Ze Liu, Shitao Xiao, Yueze Wang, Bo Zhao, Chen Jason Zhang, Defu Lian, Yongping Xiong:
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval. CoRR abs/2412.14475 (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]