Jiarui Qin - RankMe

61 papers A* 16A 6Journal 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Comprehensive Survey on Retrieval Methods in Recommender Systems. ACM Trans. Inf. Syst. Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu
2026	J	`jnl`	ReMiT: RL-Guided Mid-Training for Iterative LLM Evolution. CoRR Junjie Huang, Jiarui Qin, Di Yin, Weiwen Liu, Yong Yu, Xing Sun, Weinan Zhang
2026	J	`jnl`	Youtu-VL: Unleashing Visual Potential via Unified Vision-Language Supervision. CoRR Zhixiang Wei, Yi Li, Zhehan Kan, Xinghua Jiang, Zuwei Long, Shifeng Liu, Hongze Shen, Wei Liu, Xiaoyu Tan, Haojia Lin, Yubo Zhu, Qianyu Li, Di Yin, Haoyu Cao, Weibo Gu, Xin Li, Yinsong Liu, Deqiang Jiang, Xing Sun, Yunsheng Wu, Mingkong Tang, Shuangyin Liu, Lexiang Tang, Haodong Lin, Junru Lu, Jiarui Qin, Lingfeng Qiao, Ruizhi Qiao, Bo Ke, Jianfeng He, Ke Li, Yangning Li, Yunhang Shen, Mengdan Zhang, Peixian Chen, Kun Yin, Bing Liu, Yunfei Wu, Huang Chen, Zhongpeng Cai, Xiaotian Li
2025	J	`jnl`	APTBench: Benchmarking Agentic Potential of Base LLMs During Pre-Training. CoRR Jiarui Qin, Yunjia Xi, Junjie Huang, Renting Rui, Di Yin, Weiwen Liu, Yong Yu, Weinan Zhang, Xing Sun
2025	A*	`conf`	Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. AAAI Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang
2025	A*	`conf`	D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. WWW Jiarui Qin, Weiwen Liu, Weinan Zhang, Yong Yu
2025	J	`jnl`	Evaluation of Pedestrian-Perceived Comfort on Urban Streets Using Multi-Source Data: A Case Study in Nanjing, China. ISPRS Int. J. Geo Inf. Jiarui Qin, Yizhe Feng, Yehua Sheng, Yi Huang, Fengyuan Zhang, Kaixuan Zhang
2025	J	`jnl`	Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. CoRR Hanting Chen, Jiarui Qin, Jialong Guo, Tao Yuan, Yichun Yin, Huiling Zhen, Yasheng Wang, Jinpeng Li, Xiaojun Meng, Meng Zhang, Rongju Ruan, Zheyuan Bai, Yehui Tang, Can Chen, Xinghao Chen, Fisher Yu, Ruiming Tang, Yunhe Wang
2025	J	`jnl`	Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. CoRR Yehui Tang, Yichun Yin, Yaoyuan Wang, Hang Zhou, Yu Pan, Wei Guo, Zhiguo Zhang, Miao Rang, Fangcheng Liu, Naifu Zhang, Binghan Li, Yonghan Dong, Xiaojun Meng, Yasheng Wang, Dong Li, Yin Li, Dandan Tu, Can Chen, Youliang Yan, Fisher Yu, Ruiming Tang, Yunhe Wang, Botian Huang, Bo Wang, Boxiao Liu, Changzheng Zhang, Da Kuang, Fei Liu, Gang Huang, Jiansheng Wei, Jiarui Qin, Jie Ran, Jinpeng Li, Jun Zhao, Liang Dai, Lin Li, Liqun Deng, Peifeng Qin, Pengyuan Zeng, Qiang Gu, Shaohua Tang, Shengjun Cheng, Tao Gao, Tao Yu, Tianshu Li, Tianyu Bi, Wei He, Weikai Mao, Wenyong Huang, Wulong Liu, Xiabing Li, Xianzhi Yu, Xueyu Wu, Xu He, Yangkai Du, Yan Xu, Ye Tian, Yimeng Wu, Yongbing Huang, Yong Tian, Yong Zhu, Yue Li, Yufei Wang, Yuhang Gai, Yujun Li, Yu Luo, Yunsheng Ni, Yusen Sun, Zelin Chen, Zhe Liu, Zhicheng Liu, Zhipeng Tu, Zilin Ding, Zongyuan Zhan
2025	J	`jnl`	Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. CoRR Yichun Yin, Wenyong Huang, Kaikai Song, Yehui Tang, Xueyu Wu, Wei Guo, Peng Guo, Yaoyuan Wang, Xiaojun Meng, Yasheng Wang, Dong Li, Can Chen, Dandan Tu, Yin Li, Fisher Yu, Ruiming Tang, Yunhe Wang, Baojun Wang, Bin Wang, Bo Wang, Boxiao Liu, Changzheng Zhang, Duyu Tang, Fei Mi, Hui Jin, Jiansheng Wei, Jiarui Qin, Jinpeng Li, Jun Zhao, Liqun Deng, Lin Li, Minghui Xu, Naifu Zhang, Nianzu Zheng, Qiang Li, Rongju Ruan, Shengjun Cheng, Tianyu Guo, Wei He, Wei Li, Weiwen Liu, Wulong Liu, Xinyi Dai, Yonghan Dong, Yu Pan, Yue Li, Yufei Wang, Yujun Li, Yunsheng Ni, Zhe Liu, Zhenhe Zhang, Zhicheng Liu
2025	J	`jnl`	The Real Barrier to LLM Agent Usability is Agentic ROI. CoRR Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang
2025	A*	`conf`	Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. WWW Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu
2024	J	`jnl`	A Comprehensive Survey on Retrieval Methods in Recommender Systems. CoRR Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu
2024	J	`jnl`	All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era. CoRR Bo Chen, Xinyi Dai, Huifeng Guo, Wei Guo, Weiwen Liu, Yong Liu, Jiarui Qin, Ruiming Tang, Yichao Wang, Chuhan Wu, Yaxiong Wu, Hao Zhang
2024	J	`jnl`	Attacking Click-through Rate Predictors via Generating Realistic Fake Samples. ACM Trans. Knowl. Discov. Data Mingxing Duan, Kenli Li, Weinan Zhang, Jiarui Qin, Bin Xiao
2024	J	`jnl`	Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. CoRR Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang
2024	J	`jnl`	D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
2024	A*	`conf`	M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. WWW Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. CoRR Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
2024	J	`jnl`	Multilevel intuitive attention neural network for airborne LiDAR point cloud semantic segmentation. Int. J. Appl. Earth Obs. Geoinformation Ziyang Wang, Hui Chen, Jing Liu, Jiarui Qin, Yehua Sheng, Lin Yang
2024	A	`conf`	Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CIKM Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang
2024	J	`jnl`	Retrieval-Oriented Knowledge for Click-Through Rate Prediction. CoRR Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Yang Yang, Hao Zhang, Ruiming Tang
2024	J	`jnl`	Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. CoRR Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Yong Yu, Weinan Zhang
2023	A*	`conf`	A Survey on User Behavior Modeling in Recommender Systems. IJCAI Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023	J	`jnl`	A Survey on User Behavior Modeling in Recommender Systems. CoRR Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang
2023	A	`conf`	Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. WSDM Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang
2023	J	`jnl`	Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
2023	A*	`conf`	Personalized Diversification for Neural Re-ranking in Recommendation. ICDE Weiwen Liu, Yunjia Xi, Jiarui Qin, Xinyi Dai, Ruiming Tang, Shuai Li, Weinan Zhang, Rui Zhang
2022	A	`conf`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CIKM Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	J	`jnl`	Disentangling Past-Future Modeling in Sequential Recommendation via Dual Networks. CoRR Hengyu Zhang, Enming Yuan, Wei Guo, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Xiu Li, Ruiming Tang
2022	J	`jnl`	GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. ACM Trans. Inf. Syst. Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
2022	J	`jnl`	Hole Filling of Single Building Point Cloud Considering Local Similarity among Floors. Remote. Sens. Xiangqiang Min, Yanfeng Wang, Ka Zhang, Yehua Sheng, Jiarui Qin, Yi Huang
2022	A	`conf`	Improving Knowledge Tracing with Collaborative Information. WSDM Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022	J	`jnl`	Interval type-2 fuzzy C-means forecasting model for fuzzy time series. Appl. Soft Comput. Yue Yin, Yehua Sheng, Jiarui Qin
2022	A*	`conf`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. ICDE Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2022	J	`jnl`	Modeling vague spatiotemporal objects based on interval type-2 fuzzy sets. Int. J. Geogr. Inf. Sci. Yue Yin, Yehua Sheng, Yufeng He, Jiarui Qin
2022	A	`conf`	Neural Re-ranking for Multi-stage Recommender Systems. RecSys Weiwen Liu, Jiarui Qin, Ruiming Tang, Bo Chen
2022	A*	`conf`	Neural Re-ranking in Multi-stage Recommender Systems: A Review. IJCAI Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022	J	`jnl`	Neural Re-ranking in Multi-stage Recommender Systems: A Review. CoRR Weiwen Liu, Yunjia Xi, Jiarui Qin, Fei Sun, Bo Chen, Weinan Zhang, Rui Zhang, Ruiming Tang
2022	J	`jnl`	PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels. IEEE Access Xin Wu, Qing Liu, Jiarui Qin, Yong Yu
2022	J	`jnl`	Processes and events in the centre: a dynamic data model for representing spatial change. Int. J. Digit. Earth Yufeng He, Yehua Sheng, Barbara Hofer, Yi Huang, Jiarui Qin
2022	A*	`conf`	RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
2021	A*	`conf`	Deep Learning for Click-Through Rate Estimation. IJCAI Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Deep Learning for Click-Through Rate Estimation. CoRR Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He
2021	J	`jnl`	Detecting Electromagnetic Geographical Environment Changes Based on the Frequency-Intensity Curve. J. Sensors Yi Huang, Mengyi Wang, Qianqian Qiu, LiZhi Miao, Haiping Zhang, Jiarui Qin, Xiangqiang Min, Yehua Sheng
2021	J	`jnl`	MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction. CoRR Wei Guo, Can Zhang, Zhicheng He, Jiarui Qin, Huifeng Guo, Bo Chen, Ruiming Tang, Xiuqiang He, Rui Zhang
2021	A*	`conf`	Retrieval & Interaction Machine for Tabular Data Prediction. KDD Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2021	J	`jnl`	Retrieval & Interaction Machine for Tabular Data Prediction. CoRR Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu
2020	A*	`conf`	An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. KDD Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020	J	`jnl`	An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. CoRR Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020	J	`jnl`	Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. CoRR Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola
2020	A	`conf`	Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
2020	A*	`conf`	User Behavior Retrieval for Click-Through Rate Prediction. SIGIR Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu
2020	J	`jnl`	User Behavior Retrieval for Click-Through Rate Prediction. CoRR Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu
2019	A*	`conf`	Deep Landscape Forecasting for Real-time Bidding Advertising. KDD Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu
2019	J	`jnl`	Deep Landscape Forecasting for Real-time Bidding Advertising. CoRR Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu
2019	A*	`conf`	Deep Recurrent Survival Analysis. AAAI Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
2019	A*	`conf`	Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
2019	J	`jnl`	Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
2019	J	`jnl`	Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. CoRR Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
2018	J	`jnl`	Deep Recurrent Survival Analysis. CoRR Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu