Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation. - Xiaolong Liu 012; Liangwei Yang; Zhiwei Liu 001; Xiaohan Li 001; Mingdai Yang; Chen Wang 052; Philip S. Yu (IEEE Big Data, 2023)

Multi-View Graph Convolution for Participant Recommendation. - Xiaolong Liu 012; Liangwei Yang; Chen Wang 052; Mingdai Yang; Zhiwei Liu 001; Philip S. Yu (IEEE Big Data, 2023)

Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering. - Xi Wu 009; Liangwei Yang; Jibing Gong; Chao Zhou; Tianyu Lin; Xiaolong Liu 012; Philip S. Yu (CIKM, 2023)

Graph-based Alignment and Uniformity for Recommendation. - Liangwei Yang; Zhiwei Liu 001; Chen Wang 052; Mingdai Yang; Xiaolong Liu 012; Jing Ma 004; Philip S. Yu (CIKM, 2023)

Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu 012; Chen Wang 052; Hao Peng 001; Philip S. Yu (CIKM, 2023)

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu 012; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2023)

DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation. - Liangwei Yang; Shengjie Wang 001; Yunzhe Tao; Jiankai Sun; Xiaolong Liu 012; Philip S. Yu; Taiqing Wang (WSDM, 2023)

Collaborative Contextualization: Bridging the Gap between Collaborative Filtering and Pre-trained Language Model. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu 012; Mingdai Yang; Yueqing Liang; Philip S. Yu (CoRR, 2023)

Collaborative Alignment for Recommendation. - Chen Wang 052; Liangwei Yang; Zhiwei Liu 001; Xiaolong Liu 012; Mingdai Yang; Yueqing Liang; Philip S. Yu (CIKM, 2024)

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. - Chen Wang 052; Ziwei Fan 001; Liangwei Yang; Mingdai Yang; Xiaolong Liu 012; Zhiwei Liu 001; Philip S. Yu (KDD, 2024)

Instruction-based Hypergraph Pretraining. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu 012; Chen Wang 052; Hao Peng 001; Philip S. Yu (SIGIR, 2024)

Knowledge Graph Context-Enhanced Diversified Recommendation. - Xiaolong Liu 012; Liangwei Yang; Zhiwei Liu 001; Mingdai Yang; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Unified Pretraining for Recommendation via Task Hypergraphs. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu 012; Chen Wang 052; Hao Peng 001; Philip S. Yu (WSDM, 2024)

Knowledge Graph Based Agent for Complex, Knowledge-Intensive QA in Medicine. - Xiaorui Su 001; Yibo Wang 001; Shanghua Gao; Xiaolong Liu 012; Valentina Giunchiglia; Djork-Arné Clevert; Marinka Zitnik (CoRR, 2024)

InterFormer: Towards Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu 012; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CoRR, 2024)

A Collaborative Ensemble Framework for CTR Prediction. - Xiaolong Liu 012; Zhichen Zeng 001; Xiaoyi Liu; Siyang Yuan; Weinan Song; Mengyue Hang; Yiqun Liu; Chaofei Yang; Donghyun Kim; Wen-Yen Chen; Jiyan Yang; Yiping Han; et al. (CoRR, 2024)

InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. - Zhichen Zeng 001; Xiaolong Liu 012; Mengyue Hang; Xiaoyi Liu; Qinghai Zhou; Chaofei Yang; Yiqun Liu; Yichen Ruan; Laming Chen; Yuxin Chen 001; Yujia Hao; Jiaqi Xu; et al. (CIKM, 2025)

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA. - Xiaorui Su 001; Yibo Wang 001; Shanghua Gao; Xiaolong Liu 012; Valentina Giunchiglia; Djork-Arné Clevert; Marinka Zitnik (ICLR, 2025)

Training Large Recommendation Models via Graph-Language Tokens Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu 012; Chen Wang 052; Hao Peng 001; Philip S. Yu (WWW (Companion Volume), 2025)

Training Large Recommendation Models via Graph-Language Token Alignment. - Mingdai Yang; Zhiwei Liu 001; Liangwei Yang; Xiaolong Liu 012; Chen Wang 018; Hao Peng 001; Philip S. Yu (CoRR, 2025)

Hierarchical LoRA MoE for Efficient CTR Model Scaling. - Zhichen Zeng 001; Mengyue Hang; Xiaolong Liu 012; Xiaoyi Liu; Xiao Lin 016; Ruizhong Qiu; Tianxin Wei; Zhining Liu 002; Siyang Yuan; Chaofei Yang; Yiqun Liu; Hang Yin 005; et al. (CoRR, 2025)

Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design. - Bojian Hou; Xiaolong Liu 012; Xiaoyi Liu; Jiaqi Xu; Yasmine Badr; Mengyue Hang; Sudhanshu Chanpuriya; Junqing Zhou; Yuhang Yang; Han Xu; Qiuling Suo; Laming Chen; et al. (CoRR, 2026)

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation. - Shali Jiang 003; Hua Zheng; Boyang Liu; Laming Chen; Kenny Lov; Chuanqi Xu; Lisang Ding; Qinghai Zhou; Can Cui; Xiaolong Liu 012; Xiaoyi Liu; Yasmine Badr; et al. (CoRR, 2026)