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2020 – today
- 2024
[j1]Weichang Wu
, Xiaolu Zhang, Shiwan Zhao, Chilin Fu, Jun Zhou:
Multi-Task Decouple Learning With Hierarchical Attentive Point Process. IEEE Trans. Knowl. Data Eng. 36(4): 1741-1757 (2024)- [c13]Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang:
Efficient Model Stealing Defense with Noise Transition Matrix. CVPR 2024: 24305-24315 - [c12]Jun Hu, Wenwen Xia, Xiaolu Zhang, Chilin Fu, Weichang Wu, Zhaoxin Huan, Ang Li, Zuoli Tang, Jun Zhou:
Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. WWW (Companion Volume) 2024: 103-111 - 2023
- [c11]Chilin Fu, Weichang Wu, Xiaolu Zhang, Jun Hu, Jing Wang, Jun Zhou:
Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. CIKM 2023: 4567-4573 - [c10]Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou:
BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. ECML/PKDD (6) 2023: 259-274 - [c9]Jun Zhou, Chilin Fu, Xiaolu Zhang:
Multi-Source Domain Adaptation via Latent Domain Reconstruction. WWW (Companion Volume) 2023: 523-527 - [i3]Zuoli Tang, Zhaoxin Huan, Zihao Li, Xiaolu Zhang, Jun Hu, Chilin Fu, Jun Zhou, Chenliang Li:
One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. CoRR abs/2310.14304 (2023) - 2022
- [c8]Ang Li, Jian Hu, Chilin Fu, Xiaolu Zhang, Jun Zhou:
Attribute-Conditioned Face Swapping Network for Low-Resolution Images. ICASSP 2022: 2305-2309 - 2021
- [c7]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. CVPR 2021: 11845-11854 - [c6]Zhaoxin Huan, Yulong Wang, Yong He, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou, Ke Ding, Liang Zhang, Linjian Mo:
Learning to Select Instance: Simultaneous Transfer Learning and Clustering. SIGIR 2021: 1950-1954 - [c5]Ke Ding, Xin Dong, Yong He, Lei Cheng, Chilin Fu, Zhaoxin Huan, Hai Li, Tan Yan, Liang Zhang, Xiaolu Zhang, Linjian Mo:
MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. SIGIR 2021: 2237-2241 - [i2]Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu:
Improving Transferability of Adversarial Patches on Face Recognition with Generative Models. CoRR abs/2106.15058 (2021) - 2020
- [c4]Kuan Xu, Chilin Fu, Xiaolu Zhang, Cen Chen, Ya-Lin Zhang, Wenge Rong, Zujie Wen, Jun Zhou, Xiaolong Li, Yu Qiao:
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. CIKM 2020: 2853-2860 - [c3]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. PAKDD (2) 2020: 127-138 - [i1]Zhaoxin Huan, Yulong Wang, Xiaolu Zhang, Lin Shang, Chilin Fu, Jun Zhou:
Data-Free Adversarial Perturbations for Practical Black-Box Attack. CoRR abs/2003.01295 (2020)
2010 – 2019
- 2019
- [c2]Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li:
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. IJCAI 2019: 6497-6499 - [c1]Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR 2019: 1265-1268
Coauthor Index
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