Kan Ren
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
15
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Learning to Select In-Context Demonstration Preferred by Large Language Model. | Zheng Zhang, Shaocheng Lan, Lei Song, Jiang Bian, Yexin Li, Kan Ren |
| 2025 | CVPR | Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability. | Yingdong Shi, Changming Li, Yifan Wang, Yongxiang Zhao, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren |
| 2025 | ICLR | Discovering Influential Neuron Path in Vision Transformers. | Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren |
| 2025 | ICML | VerbalTS: Generating Time Series from Texts. | Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren |
| 2025 | NAACL | EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. | Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang |
| 2024 | ACL | Benchmarking Data Science Agents. | Yuge Zhang, Qiyang Jiang, Xingyu Han, Nan Chen, Yuqing Yang, Kan Ren |
| 2024 | CIKM | Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. | Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang |
| 2024 | CIKM | Automated Contrastive Learning Strategy Search for Time Series. | Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren |
| 2024 | EACL | MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. | Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang |
| 2024 | ICLR | CNN Kernels Can Be the Best Shapelets. | Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li |
| 2023 | AAAI | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. | Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li |
| 2023 | AAAI | Towards Inference Efficient Deep Ensemble Learning. | Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li |
| 2023 | ICLR | SIMPLE: Specialized Model-Sample Matching for Domain Generalization. | Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li |
| 2023 | ICML | CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. | Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li |
| 2023 | KDD | Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. | Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu |
| 2023 | RecSys | International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. | Ruiming Tang, Xiaoqiang Zhu, Junfeng Ge, Kuang-chih Lee, Biye Jiang, Xingxing Wang, Han Zhu, Tao Zhuang, Weiwen Liu, Kan Ren, Weinan Zhang, Xiangyu Zhao |
| 2023 | SMC | Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. | Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu |
| 2022 | IJCAI | Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. | Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li |
| 2021 | AAAI | Universal Trading for Order Execution with Oracle Policy Distillation. | Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu |
| 2021 | CIKM | CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. | Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu |
| 2021 | ICDM | Towards Generating Real-World Time Series Data. | Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li |
| 2021 | KDD | 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. | Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang |
| 2020 | SIGIR | A Deep Recurrent Survival Model for Unbiased Ranking. | Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai |
| 2020 | SIGIR | Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. | Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2020 | WSDM | Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. | Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu |
| 2019 | AAAI | Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. | Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu |
| 2019 | AAAI | Deep Recurrent Survival Analysis. | Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu |
| 2019 | KDD | Deep Landscape Forecasting for Real-time Bidding Advertising. | Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu |
| 2019 | SIGIR | Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. | Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai |
| 2018 | CIKM | Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. | Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang |
| 2018 | ICLR | Activation Maximization Generative Adversarial Nets. | Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu |
| 2017 | CIKM | Volume Ranking and Sequential Selection in Programmatic Display Advertising. | Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu |
| 2017 | KDD | Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. | Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang |
| 2017 | WSDM | Real-Time Bidding by Reinforcement Learning in Display Advertising. | Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo |
| 2017 | WSDM | Managing Risk of Bidding in Display Advertising. | Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang |
| 2016 | CIKM | User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. | Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang |
| 2016 | ICDM | Product-Based Neural Networks for User Response Prediction. | Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang |