HIN: Hierarchical Inference Network for Document-Level Relation Extraction. - Hengzhu Tang; Yanan Cao 001; Zhenyu Zhang 006; Jiangxia Cao; Fang Fang 009; Shi Wang 002; Pengfei Yin (PAKDD (1), 2020)

Disentangled Deep Multivariate Hawkes Process for Learning Event Sequences. - Xixun Lin; Jiangxia Cao; Peng Zhang 001; Chuan Zhou 001; Zhao Li 007; Jia Wu 001; Bin Wang 004 (ICDM, 2021)

Deep Structural Point Process for Learning Temporal Interaction Networks. - Jiangxia Cao; Xixun Lin; Xin Cong; Shu Guo; Hengzhu Tang; Tingwen Liu; Bin Wang 004 (ECML/PKDD (1), 2021)

Heterogeneous Graph Neural Networks for Query-focused Summarization. - Jing Ya; Tingwen Liu; Jiangxia Cao; Li Guo (SDM, 2021)

Bipartite Graph Embedding via Mutual Information Maximization. - Jiangxia Cao; Xixun Lin; Shu Guo; Luchen Liu; Tingwen Liu; Bin Wang 004 (WSDM, 2021)

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph. - Yanzeng Li; Jiangxia Cao; Xin Cong; Zhenyu Zhang 006; Bowen Yu 002; Hongsong Zhu; Tingwen Liu (ACL (1), 2022)

Contrastive Cross-Domain Sequential Recommendation. - Jiangxia Cao; Xin Cong; Jiawei Sheng; Tingwen Liu; Bin Wang 004 (CIKM, 2022)

Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck. - Jiangxia Cao; Jiawei Sheng; Xin Cong; Tingwen Liu; Bin Wang 004 (ICDE, 2022)

Item Similarity Mining for Multi-Market Recommendation. - Jiangxia Cao; Xin Cong; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation. - Jiangxia Cao; Xixun Lin; Xin Cong; Jing Ya; Tingwen Liu; Bin Wang 004 (SIGIR, 2022)

CorED: Incorporating Type-level and Instance-level Correlations for Fine-grained Event Detection. - Jiawei Sheng; Rui Sun; Shu Guo; Shiyao Cui; Jiangxia Cao; Lihong Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2022)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Jiawei Sheng; Chuan Zhou 001; Tingwen Liu (IEEE Big Data, 2023)

Uncertain Relational Hypergraph Attention Networks for Document-Level Event Factuality Identification. - Jiawei Sheng; Xin Cong; Jiangxia Cao; Shu Guo; Chen Li 046; Lihong Wang; Tingwen Liu; Hongbo Xu (ECAI, 2023)

Representation and Labeling Gap Bridging for Cross-lingual Named Entity Recognition. - Xinghua Zhang 001; Bowen Yu 002; Jiangxia Cao; Quangang Li; Xuebin Wang; Tingwen Liu; Hongbo Xu (SIGIR, 2023)

Towards Universal Cross-Domain Recommendation. - Jiangxia Cao; Shaoshuai Li; Bowen Yu 002; Xiaobo Guo; Tingwen Liu; Bin Wang 004 (WSDM, 2023)

ID-MixGCL: Identity Mixup for Graph Contrastive Learning. - Gehang Zhang; Bowen Yu 002; Jiangxia Cao; Xinghua Zhang 001; Tingwen Liu; Chuan Zhou 001 (CoRR, 2023)

Disentangled Representations Learning for Multi-target Cross-domain Recommendation. - Xiaobo Guo; Shaoshuai Li; Naicheng Guo; Jiangxia Cao; Xiaolei Liu; Qiongxu Ma; Runsheng Gan; Yunan Zhao (ACM Trans. Inf. Syst., 2023)

Enhancing Content-based Recommendation via Large Language Model. - Wentao Xu; Qianqian Xie; Shuo Yang; Jiangxia Cao; Shuchao Pang (CIKM, 2024)

A Multi-modal Modeling Framework for Cold-start Short-video Recommendation. - Gaode Chen; Ruina Sun; Yuezihan Jiang; Jiangxia Cao; Qi Zhang 010; Jingjian Lin; Han Li 005; Kun Gai; Xinghua Zhang 001 (RecSys, 2024)

CDRNP: Cross-Domain Recommendation to Cold-Start Users via Neural Process. - Xiaodong Li 012; Jiawei Sheng; Jiangxia Cao; Wenyuan Zhang 002; Quangang Li; Tingwen Liu (WSDM, 2024)

Moment&Cross: Next-Generation Real-Time Cross-Domain CTR Prediction for Live-Streaming Recommendation at Kuaishou. - Jiangxia Cao; Shen Wang; Yue Li; Shenghui Wang; Jian Tang; Shiyao Wang 001; Shuang Yang; Zhaojie Liu; Guorui Zhou (CoRR, 2024)

A Unified Framework for Cross-Domain Recommendation. - Jiangxia Cao; Shen Wang; Gaode Chen; Rui Huang; Shuang Yang; Zhaojie Liu; Guorui Zhou (CoRR, 2024)

Cross-Domain Sequential Recommendation via Neural Process. - Haipeng Li; Jiangxia Cao; Yiwen Gao 001; Yunhuai Liu; Shuchao Pang (CoRR, 2024)

MARM: Unlocking the Future of Recommendation Systems through Memory Augmentation and Scalable Complexity. - Xiao Lv; Jiangxia Cao; Shijie Guan; Xiaoyou Zhou; Zhiguang Qi; Yaqiang Zang; Ming Li; Ben Wang 006; Kun Gai; Guorui Zhou (CoRR, 2024)

KuaiFormer: Transformer-Based Retrieval at Kuaishou. - Chi Liu; Jiangxia Cao; Rui Huang; Kai Zheng 001; Qiang Luo; Kun Gai; Guorui Zhou (CoRR, 2024)

QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou. - Xinchen Luo; Jiangxia Cao; Tianyu Sun; Jinkai Yu; Rui Huang; Wei Yuan; Hezheng Lin; Yichen Zheng; Shiyao Wang 001; Qigen Hu; Changqing Qiu; Jiaqi Zhang; et al. (CoRR, 2024)

CRM: Retrieval Model with Controllable Condition. - Chi Liu; Jiangxia Cao; Rui Huang; Kuo Cai; Weifeng Ding; Qiang Luo; Kun Gai; Guorui Zhou (CoRR, 2024)

Enhancing Multimodal Entity and Relation Extraction With Variational Information Bottleneck. - Shiyao Cui; Jiangxia Cao; Xin Cong; Jiawei Sheng; Quangang Li; Tingwen Liu; Jinqiao Shi (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

HoME: Hierarchy of Multi-Gate Experts for Multi-Task Learning at Kuaishou. - Xu Wang; Jiangxia Cao; Zhiyi Fu; Kun Gai; Guorui Zhou (KDD (1), 2025)

CDSRNP: Cross-Domain Sequential Recommendation via Neural Process. - Haipeng Li; Jiangxia Cao; Yiwen Gao 001; Yunhuai Liu; Shuchao Pang (SDM, 2025)

LiveForesighter: Generating Future Information for Live-Streaming Recommendations at Kuaishou. - Yucheng Lu; Jiangxia Cao; Xu Kuan; Wei Cheng; Wei Jiang; Jiaming Zhang; Shuang Yang; Zhaojie Liu; Liyin Hong (CoRR, 2025)

ChorusCVR: Chorus Supervision for Entire Space Post-Click Conversion Rate Modeling. - Wei Cheng; Yucheng Lu; Boyang Xia; Jiangxia Cao; Kuan Xu; Mingxing Wen; Wei Jiang; Jiaming Zhang; Zhaojie Liu; Liyin Hong; Kun Gai; Guorui Zhou (CoRR, 2025)

FARM: Frequency-Aware Model for Cross-Domain Live-Streaming Recommendation. - Xiaodong Li 012; Ruochen Yang; Shuang Wen 008; Shen Wang; Yueyang Liu; Guoquan Wang; Weisong Hu; Qiang Luo; Jiawei Sheng; Tingwen Liu; Jiangxia Cao; Shuang Yang; et al. (CoRR, 2025)

Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation. - Yu Liu; Hanbin Jiang; Lei Zhu; Yu Zhang 217; Yuqi Mao; Jiangxia Cao; Shuchao Pang (CoRR, 2025)

LLM-Alignment Live-Streaming Recommendation. - Yueyang Liu; Jiangxia Cao; Shen Wang; Shuang Wen 008; Xiang Chen; Xiangyu Wu; Shuang Yang; Zhaojie Liu; Kun Gai; Guorui Zhou (CoRR, 2025)

Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization. - Jiangxia Cao; Pengbo Xu; Yin Cheng; Kaiwei Guo; Jian Tang; Shijun Wang; Dewei Leng; Shuang Yang; Zhaojie Liu; Yanan Niu; Guorui Zhou; Kun Gai (CoRR, 2025)

RecCoT: Enhancing Recommendation via Chain-of-Thought. - Shuo Yang; Jiangxia Cao; Haipeng Li; Yuqi Mao; Shuchao Pang (CoRR, 2025)

Kwai Keye-VL Technical Report. - Kwai Keye Team; Biao Yang; Bin Wen; Changyi Liu; Chenglong Chu; Chengru Song; Chongling Rao; Chuan Yi; Da Li 003; Dunju Zang; Fan Yang 094; Guorui Zhou; et al. (CoRR, 2025)