Defu Lian (连德富)

About Defu Lian (连德富)

Defu Lian (连德富), With an exceptional h-index of 38 and a recent h-index of 36 (since 2020), a distinguished researcher at University of Science and Technology of China, specializes in the field of Recommender Systems, Data Mining, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluating Readability and Faithfulness of Concept-based Explanations

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation

Understanding and Patching Compositional Reasoning in LLMs

Boosting Factorization Machines Via Saliency-Guided Mixup

Understanding Privacy Risks of Embeddings Induced by Large Language Models

Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Knowledge Distillation for High Dimensional Search Index

Defu Lian (连德富) Information

University

Position

Professor

Citations(all)

6948

Citations(since 2020)

5875

Cited By

2766

hIndex(all)

38

hIndex(since 2020)

36

i10Index(all)

81

i10Index(since 2020)

78

Email

University Profile Page

University of Science and Technology of China

Google Scholar

View Google Scholar Profile

Defu Lian (连德富) Skills & Research Interests

Recommender Systems

Data Mining

Deep Learning

Top articles of Defu Lian (连德富)

Title

Journal

Author(s)

Publication Date

Evaluating Readability and Faithfulness of Concept-based Explanations

arXiv preprint arXiv:2404.18533

Meng Li

Haoran Jin

Ruixuan Huang

Zhihao Xu

Defu Lian

...

2024/4/29

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation

arXiv preprint arXiv:2403.17603

Yongqiang Han

Hao Wang

Kefan Wang

Likang Wu

Zhi Li

...

2024/3/26

Understanding and Patching Compositional Reasoning in LLMs

arXiv preprint arXiv:2402.14328

Zhaoyi Li

Gangwei Jiang

Hong Xie

Linqi Song

Defu Lian

...

2024/2/22

Boosting Factorization Machines Via Saliency-Guided Mixup

IEEE Transactions on Pattern Analysis and Machine Intelligence

Chenwang Wu

Defu Lian

Yong Ge

Min Zhou

Enhong Chen

...

2024/1/16

Understanding Privacy Risks of Embeddings Induced by Large Language Models

arXiv preprint arXiv:2404.16587

Zhihao Zhu

Ninglu Shao

Defu Lian

Chenwang Wu

Zheng Liu

...

2024/4/25

Automated Sparse and Low-Rank Shallow Autoencoders for Recommendation

ACM Transactions on Recommender Systems

Yuanhao Pu

Rui Fan

Jin Chen

Zhihao Zhu

Defu Lian

...

2024

Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users

Proceedings of the AAAI Conference on Artificial Intelligence

Hantao Yang

Xutong Liu

Zhiyong Wang

Hong Xie

John CS Lui

...

2024/3/24

Knowledge Distillation for High Dimensional Search Index

Advances in Neural Information Processing Systems

Zepu Lu

Jin Chen

Defu Lian

Zaixi Zhang

Yong Ge

...

2024/2/13

Spatial and Temporal User Interest Representations for Sequential Recommendation

IEEE Transactions on Computational Social Systems

Haibing Hu

Kai Han

Zhizhuo Yin

Defu Lian

2024/4/23

Attacking Social Media via Behavior Poisoning

ACM Transactions on Knowledge Discovery from Data

Chenwang Wu

Defu Lian

Yong Ge

Min Zhou

Enhong Chen

2024

Frequency-domain MLPs are more effective learners in time series forecasting

Advances in Neural Information Processing Systems

Kun Yi

Qi Zhang

Wei Fan

Shoujin Wang

Pengyang Wang

...

2024/2/13

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

arXiv preprint arXiv:2312.06683

Qi Liu

Xuyang Hou

Defu Lian

Zhe Wang

Haoran Jin

...

2023/12/9

Pilotscope: Steering databases with machine learning drivers

PVLDB

Rong Zhu

Lianggui Weng

Wenqing Wei

Di Wu

Jiazhen Peng

...

2024

WESE: Weak Exploration to Strong Exploitation for LLM Agents

arXiv preprint arXiv:2404.07456

Xu Huang

Weiwen Liu

Xiaolong Chen

Xingmei Wang

Defu Lian

...

2024/4/11

Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation

arXiv preprint arXiv:2402.03216

Jianlv Chen

Shitao Xiao

Peitian Zhang

Kun Luo

Defu Lian

...

2024/2/5

Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors

arXiv preprint arXiv:2403.09747

Guanghua Li

Wensheng Lu

Wei Zhang

Defu Lian

Kezhong Lu

...

2024/3/14

A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation

arXiv preprint arXiv:2404.00268

Luankang Zhang

Hao Wang

Suojuan Zhang

Mingjia Yin

Yongqiang Han

...

2024/3/30

Aligning Language Models for Versatile Text-based Item Retrieval

arXiv preprint arXiv:2402.18899

Yuxuan Lei

Jianxun Lian

Jing Yao

Mingqi Wu

Defu Lian

...

2024/2/29

Understanding the planning of LLM agents: A survey

arXiv preprint arXiv:2402.02716

Xu Huang

Weiwen Liu

Xiaolong Chen

Xingmei Wang

Hao Wang

...

2024/2/5

Learning to substitute spans towards improving compositional generalization

arXiv preprint arXiv:2306.02840

Zhaoyi Li

Ying Wei

Defu Lian

2023/6/5

See List of Professors in Defu Lian (连德富) University(University of Science and Technology of China)

Co-Authors

H-index: 120
Wei-Ying Ma

Wei-Ying Ma

Tsinghua University

H-index: 79
Enhong Chen

Enhong Chen

University of Science and Technology of China

H-index: 65
Longbing Cao

Longbing Cao

University of Technology & Management

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