AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot. - Cen Chen 001; Xiaolu Zhang; Sheng Ju; Chilin Fu; Caizhi Tang; Jun Zhou 011; Xiaolong Li 005 (IJCAI, 2019)

Reinforcement Learning for User Intent Prediction in Customer Service Bots. - Cen Chen 001; Chilin Fu; Xu Hu; Xiaolu Zhang; Jun Zhou 011; Xiaolong Li 005; Forrest Sheng Bao (SIGIR, 2019)

aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots. - Kuan Xu; Chilin Fu; Xiaolu Zhang; Cen Chen 001; Ya-Lin Zhang 001; Wenge Rong; Zujie Wen; Jun Zhou 011; Xiaolong Li 005; Yu Qiao 001 (CIKM, 2020)

Data-Free Adversarial Perturbations for Practical Black-Box Attack. - Zhaoxin Huan; Yulong Wang; Xiaolu Zhang; Lin Shang 001; Chilin Fu; Jun Zhou 011 (PAKDD (2), 2020)

Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. - Zihao Xiao 002; Xianfeng Gao; Chilin Fu; Yinpeng Dong; Wei Gao; Xiaolu Zhang; Jun Zhou 011; Jun Zhu 001 (CVPR, 2021)

MSSM: A Multiple-level Sparse Sharing Model for Efficient Multi-Task Learning. - Ke Ding; Xin Dong 012; Yong He 009; Lei Cheng 005; Chilin Fu; Zhaoxin Huan; Hai Li; Tan Yan; Liang Zhang; Xiaolu Zhang; Linjian Mo (SIGIR, 2021)

Learning to Select Instance: Simultaneous Transfer Learning and Clustering. - Zhaoxin Huan; Yulong Wang; Yong He 009; Xiaolu Zhang; Chilin Fu; Weichang Wu; Jun Zhou 011; Ke Ding; Liang Zhang; Linjian Mo (SIGIR, 2021)

Attribute-Conditioned Face Swapping Network for Low-Resolution Images. - Ang Li; Jian Hu 002; Chilin Fu; Xiaolu Zhang; Jun Zhou 011 (ICASSP, 2022)

Robust User Behavioral Sequence Representation via Multi-scale Stochastic Distribution Prediction. - Chilin Fu; Weichang Wu; Xiaolu Zhang; Jun Hu; Jing Wang; Jun Zhou 011 (CIKM, 2023)

BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency. - Jun Hu; Xu Min; Xiaolu Zhang; Chilin Fu; Weichang Wu; Jun Zhou 011 (ECML/PKDD (6), 2023)

Multi-Source Domain Adaptation via Latent Domain Reconstruction. - Jun Zhou 011; Chilin Fu; Xiaolu Zhang (WWW (Companion Volume), 2023)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems. - Zuoli Tang; Zhaoxin Huan; Zihao Li 005; Xiaolu Zhang; Jun Hu; Chilin Fu; Jun Zhou 011; Chenliang Li (CoRR, 2023)

Efficient Model Stealing Defense with Noise Transition Matrix. - Dong-Dong Wu; Chilin Fu; Weichang Wu; Wenwen Xia; Xiaolu Zhang; Jun Zhou 011; Min-Ling Zhang (CVPR, 2024)

Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. - Jun Hu; Wenwen Xia; Xiaolu Zhang; Chilin Fu; Weichang Wu; Zhaoxin Huan; Ang Li; Zuoli Tang; Jun Zhou 011 (WWW (Companion Volume), 2024)

Multi-Task Decouple Learning With Hierarchical Attentive Point Process. - Weichang Wu; Xiaolu Zhang; Shiwan Zhao; Chilin Fu; Jun Zhou 011 (IEEE Trans. Knowl. Data Eng., 2024)

Short-Path Prompting in LLMs: Analyzing Reasoning Instability and Solutions for Robust Performance. - Zuoli Tang; Junjie Ou; Kaiqin Hu; Chunwei Wu; Zhaoxin Huan; Chilin Fu; Xiaolu Zhang; Jun Zhou; Chenliang Li (CoRR, 2025)

One Model for All: Large Language Models Are Domain-Agnostic Recommendation Systems. - Zuoli Tang; Zhaoxin Huan; Zihao Li 005; Xiaolu Zhang; Jun Hu; Chilin Fu; Jun Zhou 011; Lixin Zou; Chenliang Li (ACM Trans. Inf. Syst., 2025)

Exploring and reconstructing latent domains for multi-source domain adaptation. - Wanjun Liang; Meijuan Tan; Xiangyu Meng; Chengzhe Zhang; Jun Zhou 011; Chilin Fu; Xiaolu Zhang; Changsheng Li (Signal Process., 2026)