Deep Recurrent Survival Analysis. - Kan Ren; Jiarui Qin; Lei Zheng; Zhengyu Yang 002; Weinan Zhang 001; Lin Qiu; Yong Yu 001 (AAAI, 2019)

Deep Landscape Forecasting for Real-time Bidding Advertising. - Kan Ren; Jiarui Qin; Lei Zheng; Zhengyu Yang 002; Weinan Zhang 001; Yong Yu 001 (KDD, 2019)

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. - Kan Ren; Jiarui Qin; Yuchen Fang; Weinan Zhang 001; Lei Zheng; Weijie Bian; Guorui Zhou; Jian Xu 015; Yong Yu 001; Xiaoqiang Zhu; Kun Gai (SIGIR, 2019)

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. - Jiarui Jin; Jiarui Qin; Yuchen Fang; Kounianhua Du; Weinan Zhang 001; Yong Yu 001; Zheng Zhang 001; Alexander J. Smola (KDD, 2020)

User Behavior Retrieval for Click-Through Rate Prediction. - Jiarui Qin; Weinan Zhang 001; Xin Wu; Jiarui Jin; Yuchen Fang; Yong Yu 001 (SIGIR, 2020)

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. - Jiarui Qin; Kan Ren; Yuchen Fang; Weinan Zhang 001; Yong Yu 001 (WSDM, 2020)

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. - Jiarui Jin; Kounianhua Du; Weinan Zhang 001; Jiarui Qin; Yuchen Fang; Yong Yu 001; Zheng Zhang 001; Alexander J. Smola (CoRR, 2020)

Deep Learning for Click-Through Rate Estimation. - Weinan Zhang 001; Jiarui Qin; Wei Guo 006; Ruiming Tang; Xiuqiang He 001 (IJCAI, 2021)

Retrieval & Interaction Machine for Tabular Data Prediction. - Jiarui Qin; Weinan Zhang 001; Rong Su 003; Zhirong Liu; Weiwen Liu; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (KDD, 2021)

Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve. - Yi Huang 032; Mengyi Wang; Qianqian Qiu; Lizhi Miao; Haiping Zhang 002; Jiarui Qin; Xiangqiang Min; Yehua Sheng (J. Sensors, 2021)

Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. - Hengyu Zhang 001; Enming Yuan; Wei Guo 006; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Xiu Li 001; Ruiming Tang (CIKM, 2022)

MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. - Wei Guo 006; Can Zhang 007; Zhicheng He 001; Jiarui Qin; Huifeng Guo; Bo Chen 023; Ruiming Tang; Xiuqiang He 001; Rui Zhang 003 (ICDE, 2022)

Neural Re-ranking in Multi-stage Recommender Systems: A Review. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Fei Sun; Bo Chen 023; Weinan Zhang 001; Rui Zhang 003; Ruiming Tang (IJCAI, 2022)

Neural Re-ranking for Multi-stage Recommender Systems. - Weiwen Liu; Jiarui Qin; Ruiming Tang; Bo Chen 023 (RecSys, 2022)

RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. - Jiarui Qin; Jiachen Zhu 001; Bo Chen 023; Zhirong Liu; Weiwen Liu; Ruiming Tang; Rui Zhang 003; Yong Yu 001; Weinan Zhang 001 (SIGIR, 2022)

Improving Knowledge Tracing with Collaborative Information. - Ting Long; Jiarui Qin; Jian Shen 003; Weinan Zhang 001; Wei Xia 001; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (WSDM, 2022)

PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels. - Xin Wu; Qing Liu 020; Jiarui Qin; Yong Yu 001 (IEEE Access, 2022)

Interval type-2 fuzzy C-means forecasting model for fuzzy time series. - Yue Yin; Yehua Sheng; Jiarui Qin (Appl. Soft Comput., 2022)

Processes and events in the centre: a dynamic data model for representing spatial change. - Yufeng He; Yehua Sheng; Barbara Hofer; Yi Huang 032; Jiarui Qin (Int. J. Digit. Earth, 2022)

Modeling vague spatiotemporal objects based on interval type-2 fuzzy sets. - Yue Yin; Yehua Sheng; Yufeng He; Jiarui Qin (Int. J. Geogr. Inf. Sci., 2022)

Hole Filling of Single Building Point Cloud Considering Local Similarity among Floors. - Xiangqiang Min; Yanfeng Wang; Ka Zhang; Yehua Sheng; Jiarui Qin; Yi Huang 032 (Remote. Sens., 2022)

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. - Jiarui Jin; Kounianhua Du; Weinan Zhang 001; Jiarui Qin; Yuchen Fang; Yong Yu 001; Zheng Zhang 001; Alexander J. Smola (ACM Trans. Inf. Syst., 2022)

Personalized Diversification for Neural Re-ranking in Recommendation. - Weiwen Liu; Yunjia Xi; Jiarui Qin; Xinyi Dai; Ruiming Tang; Shuai Li 010; Weinan Zhang 001; Rui Zhang 003 (ICDE, 2023)

A Survey on User Behavior Modeling in Recommender Systems. - Zhicheng He 001; Weiwen Liu; Wei Guo 006; Jiarui Qin; Yingxue Zhang 001; Yaochen Hu 001; Ruiming Tang (IJCAI, 2023)

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. - Jiarui Qin; Jiachen Zhu 001; Yankai Liu; Junchao Gao; Jianjie Ying; Chaoxiong Liu; Ding Wang; Junlan Feng; Chao Deng; Xiaozheng Wang; Jian Jiang; Cong Liu; et al. (WSDM, 2023)

Learning to Retrieve User Behaviors for Click-through Rate Estimation. - Jiarui Qin; Weinan Zhang 001; Rong Su 003; Zhirong Liu; Weiwen Liu; Guangpeng Zhao; Hao Li; Ruiming Tang; Xiuqiang He 001; Yong Yu 001 (ACM Trans. Inf. Syst., 2023)

Retrieval-Oriented Knowledge for Click-Through Rate Prediction. - Huanshuo Liu; Bo Chen 023; Menghui Zhu; Jianghao Lin; Jiarui Qin; Hao Zhang 048; Yang Yang 001; Ruiming Tang (CIKM, 2024)

M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. - Jiachen Zhu 001; Yichao Wang 002; Jianghao Lin; Jiarui Qin; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (WWW, 2024)

Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation. - Ziyang Wang; Hui Chen; Jing Liu 021; Jiarui Qin; Yehua Sheng; Lin Yang (Int. J. Appl. Earth Obs. Geoinformation, 2024)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. - Jiarui Qin; Weiwen Liu; Ruiming Tang; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. - Bo Chen 023; Xinyi Dai; Huifeng Guo; Wei Guo 006; Weiwen Liu; Yong Liu 020; Jiarui Qin; Ruiming Tang; Yichao Wang 002; Chuhan Wu; Yaxiong Wu 005; Hao Zhang 048 (CoRR, 2024)

A Comprehensive Survey on Retrieval Methods in Recommender Systems. - Junjie Huang; Jizheng Chen; Jianghao Lin; Jiarui Qin; Ziming Feng; Weinan Zhang 001; Yong Yu 001 (CoRR, 2024)

Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. - Mingxing Duan; Kenli Li 001; Weinan Zhang 001; Jiarui Qin; Bin Xiao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. - Junjie Huang; Jiarui Qin; Yong Yu 001; Weinan Zhang 001 (AAAI, 2025)

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. - Junjie Huang; Jiarui Qin; Jianghao Lin; Ziming Feng; Weinan Zhang 001; Yong Yu 001 (WWW, 2025)

D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. - Jiarui Qin; Weiwen Liu; Weinan Zhang 001; Yong Yu 001 (WWW, 2025)

Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China. - Jiarui Qin; Yizhe Feng; Yehua Sheng; Yi Huang 032; Fengyuan Zhang; Kaixuan Zhang (ISPRS Int. J. Geo Inf., 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

The Real Barrier to LLM Agent Usability is Agentic ROI. - Weiwen Liu; Jiarui Qin; Xu Huang 008; Xingshan Zeng; Yunjia Xi; Jianghao Lin; Chuhan Wu; Yasheng Wang; Lifeng Shang; Ruiming Tang; Defu Lian; Yong Yu 001; et al. (CoRR, 2025)

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. - Hanting Chen; Jiarui Qin; Jialong Guo; Tao Yuan; Yichun Yin; Huiling Zhen; Yasheng Wang; Jinpeng Li 004; Xiaojun Meng; Meng Zhang; Rongju Ruan; Zheyuan Bai; et al. (CoRR, 2025)