- 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - Chenyuan Wu, Gangwei Jiang, Defu Lian:
Mitigate Negative Transfer with Similarity Heuristic Lifelong Prompt Tuning. CoRR abs/2406.12251 (2024) - 2023
- 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) - 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) - 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) - 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) - 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) - 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) - Fan Wang, Xuanang Xu
, Defu Yang
, Ronald C. Chen, Trevor J. Royce, Andrew Z. Wang, Jun Lian
, Chunfeng Lian
:
Dynamic Cross-Task Representation Adaptation for Clinical Targets Co-Segmentation in CT Image-Guided Post-Prostatectomy Radiotherapy. IEEE Trans. Medical Imaging 42(4): 1046-1055 (2023) - Zhonghang Zhu, Lequan Yu
, Wei Wu
, Rongshan Yu, Defu Zhang
, Liansheng Wang
:
MuRCL: Multi-Instance Reinforcement Contrastive Learning for Whole Slide Image Classification. IEEE Trans. Medical Imaging 42(5): 1337-1348 (2023) - 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) - 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) - 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) - 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) - Qingyang Wang, Chenwang Wu, Defu Lian
, Enhong Chen:
Securing recommender system via cooperative training. World Wide Web (WWW) 26(6): 3915-3943 (2023) - Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - Zhaoyi Li, Ying Wei, Defu Lian:
Learning to Substitute Spans towards Improving Compositional Generalization. ACL (1) 2023: 2791-2811 - Xiaoguang Zhang, Defu Liang, Yuheng Zhang, Zhenqian Liu:
An API Framework for Flexible and Lightweight Microservice Composition. ICCCS 2023: 701-707 - Yongfu Fan
, Jin Chen
, Yongquan Jiang
, Defu Lian
, Fangda Guo
, Kai Zheng
:
Batch-Mix Negative Sampling for Learning Recommendation Retrievers. CIKM 2023: 494-503 - Qi Liu
, Zhilong Zhou
, Gangwei Jiang
, Tiezheng Ge
, Defu Lian
:
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation. CIKM 2023: 1637-1646 - 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 - 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 - Yucheng Li, Defu Lian
, Jin Chen:
Cache-Enhanced InBatch Sampling with Difficulty-Based Replacement Strategies for Learning Recommenders. DASFAA (Workshops) 2023: 95-108