GFlow-FT: Pick a Child Network via Gradient Flow for Efficient Fine-Tuning in Recommendation Systems. - Ke Ding; Yong He 009; Xin Dong 012; Jieyu Yang; Liang Zhang; Ang Li 043; Xiaolu Zhang; Linjian Mo (CIKM, 2022)

Attribute-Conditioned Face Swapping Network for Low-Resolution Images. - Ang Li 043; Jian Hu 002; Chilin Fu; Xiaolu Zhang; Jun Zhou 011 (ICASSP, 2022)

Global-Aware Model-Free Self-distillation for Recommendation System. - Ang Li 043; Jian Hu 002; Wei Lu 011; Ke Ding; Xiaolu Zhang; Jun Zhou 011; Yong He 009; Liang Zhang; Lihong Gu (DASFAA (4), 2023)

SAMD: An Industrial Framework for Heterogeneous Multi-Scenario Recommendation. - Zhaoxin Huan; Ang Li 043; Xiaolu Zhang; Xu Min; Jieyu Yang; Yong He 009; Jun Zhou 011 (KDD, 2023)

Uncertainty-based Heterogeneous Privileged Knowledge Distillation for Recommendation System. - Ang Li 043; Jian Hu 002; Ke Ding; Xiaolu Zhang; Jun Zhou 011; Yong He 009; Xu Min (SIGIR, 2023)

AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. - Zhaoxin Huan; Ke Ding; Ang Li 043; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (CoRR, 2023)

Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. - Zhaoxin Huan; Ke Ding; Ang Li 043; Xiaolu Zhang; Xu Min; Yong He 009; Liang Zhang; Jun Zhou 011; Linjian Mo; Jinjie Gu; Zhongyi Liu; Wenliang Zhong; et al. (SIGIR, 2024)

Enhancing Sequential Recommendation via LLM-based Semantic Embedding Learning. - Jun Hu; Wenwen Xia; Xiaolu Zhang; Chilin Fu; Weichang Wu; Zhaoxin Huan; Ang Li 043; Zuoli Tang; Jun Zhou 011 (WWW (Companion Volume), 2024)