Kan Ren

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 82

Top Venues

University of Surrey, Guildford, UK (PHD)

Education History

University of Surrey, Guildford, UK

PHD

Publications

Yuqi Chen, Kan Ren, Kaitao Song, Yansen Wang, Yifan Wang, Dongsheng Li, Lili Qiu
EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model. CoRR (2024)
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. CoRR (2024)
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. CoRR (2024)
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI (2023)
Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. CoRR (2023)
Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
SIMPLE: Specialized Model-Sample Matching for Domain Generalization. ICLR (2023)
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. SMC (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD (2023)
Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang
AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR (2023)
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
TaskBench: Benchmarking Large Language Models for Task Automation. CoRR (2023)
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. NeurIPS (2023)
Fan Wang, Weixian Qian, Ye Qian, Chao Ma, He Zhang, Jiajie Wang, Minjie Wan, Kan Ren
Maritime Infrared Small Target Detection Based on the Appearance Stable Isotropy Measure in Heavy Sea Clutter Environments. Sensors 23 (24) (2023)
Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. CoRR (2023)
Fan Wang, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu, Qian Chen
Maritime Small Target Detection Based on Appearance Stability and Depth-Normalized Motion Saliency in Infrared Video With Dense Sunglints. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR (2023)
Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR (2023)
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
Towards Inference Efficient Deep Ensemble Learning. CoRR (2023)
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling. NeurIPS (2023)
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
Towards Inference Efficient Deep Ensemble Learning. AAAI (2023)
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML (2023)
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. CoRR (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
International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys (2023)
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR (2022)
Minjie Wan, Guohua Gu, Yunkai Xu, Weixian Qian, Kan Ren, Qian Chen
Total Variation-Based Interframe Infrared Patch-Image Model for Small Target Detection. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Chao Ma, Minjie Wan, Yunkai Xu, Kan Ren, Weixian Qian, Qian Chen, Guohua Gu
Infrared target tracking based on proximal robust principal component analysis method. Appl. Intell. 52 (3) (2022)
Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie
Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI (2022)
Kan Ren, Yuan Gao, Minjie Wan, Guohua Gu, Qian Chen
Infrared small target detection via region super resolution generative adversarial network. Appl. Intell. 52 (10) (2022)
Ziyue Li, Kan Ren, Xinyang Jiang, Bo Li, Haipeng Zhang, Dongsheng Li
Domain Generalization using Pretrained Models without Fine-tuning. CoRR (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR (2022)
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR (2022)
Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS (2022)
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS (2022)
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
Universal Trading for Order Execution with Oracle Policy Distillation. AAAI (2021)
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
Towards Generating Real-World Time Series Data. ICDM (2021)
Yunkai Xu, Minjie Wan, Qian Chen, Weixian Qian, Kan Ren, Guohua Gu
Hierarchical Convolution Fusion-Based Adaptive Siamese Network for Infrared Target Tracking. IEEE Trans. Instrum. Meas. 70 (2021)
Wenguang Yang, Zijuan Luo, Kan Ren, Minjie Wan, Ye Qian, Yunkai Xu, Weixian Qian
Robust object tracking using sparse color appearance model. J. Electronic Imaging 30 (6) (2021)
Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
Universal Trading for Order Execution with Oracle Policy Distillation. CoRR (2021)
Xiaoqiang Zhu, Kuang-chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang
3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD (2021)
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
Towards Generating Real-World Time Series Data. CoRR (2021)
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM (2021)
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR (2020)
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR (2020)
Chao Ma, Guohua Gu, Xin Miao, Minjie Wan, Weixian Qian, Kan Ren, Qian Chen
Infrared target tracking based on proximal robust principal component analysis method. CoRR (2020)
Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR (2020)
Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM (2020)
Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR (2020)
Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR (2019)
Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. CoRR (2019)
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu
Deep Landscape Forecasting for Real-time Bidding Advertising. CoRR (2019)
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
Deep Recurrent Survival Analysis. AAAI (2019)
Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. CoRR (2019)
Minjie Wan, Guohua Gu, Weixian Qian, Kan Ren, Xavier Maldague, Qian Chen
Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation. IEEE Internet Things J. 6 (6) (2019)
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI (2019)
Kan Ren, Hongliang Ye, Guohua Gu, Qian Chen
Pulses Classification Based on Sparse Auto-Encoders Neural Networks. IEEE Access 7 (2019)
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu
Deep Landscape Forecasting for Real-time Bidding Advertising. KDD (2019)
Xiaofang Kong, Qian Chen, Jiajie Wang, Guohua Gu, Pengcheng Wang, Weixian Qian, Kan Ren, Xiaotao Miao
Inclinometer Assembly Error Calibration and Horizontal Image Correction in Photoelectric Measurement Systems. Sensors 18 (1) (2018)
Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
Activation Maximization Generative Adversarial Nets. ICLR (Poster) (2018)
Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
Deep Recurrent Survival Analysis. CoRR (2018)
Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. CoRR (2018)
Minjie Wan, Guohua Gu, Weixian Qian, Kan Ren, Qian Chen, Xavier Maldague
Infrared Image Enhancement Using Adaptive Histogram Partition and Brightness Correction. Remote. Sens. 10 (5) (2018)
Minjie Wan, Guohua Gu, Weixian Qian, Kan Ren, Qian Chen, Hai Zhang, Xavier Maldague
Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking. Remote. Sens. 10 (4) (2018)
Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CIKM (2018)
Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CoRR (2018)
Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. IEEE Trans. Knowl. Data Eng. 30 (4) (2018)
Jiajie Wang, Guohua Gu, Minjie Wan, Kan Ren
Dual-correlation transformation for image stitching. J. Electronic Imaging 27 (03) (2018)
Minjie Wan, Guohua Gu, Jianhong Sun, Weixian Qian, Kan Ren, Qian Chen, Xavier Maldague
A Level Set Method for Infrared Image Segmentation Using Global and Local Information. Remote. Sens. 10 (7) (2018)
Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. CoRR (2018)
Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR (2017)
Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
Managing Risk of Bidding in Display Advertising. WSDM (2017)
Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM (2017)
Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu
Volume Ranking and Sequential Selection in Programmatic Display Advertising. CIKM (2017)
Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
Managing Risk of Bidding in Display Advertising. CoRR (2017)
Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD (2017)
Pengcheng Wang, Qian Chen, Weixian Qian, Kan Ren, Zheyi Yao, Fuyuan Xu
Salient motion detection using proximal robust principal component analysis method. J. Electronic Imaging 26 (2) (2017)
Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang
User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM (2016)
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
Product-Based Neural Networks for User Response Prediction. ICDM (2016)
Weinan Zhang, Kan Ren, Jun Wang
Optimal Real-Time Bidding Frameworks Discussion. CoRR (2016)
Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
Product-based Neural Networks for User Response Prediction. CoRR (2016)
Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
Functional Bid Landscape Forecasting for Display Advertising. ECML/PKDD (1) (2016)
Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu
A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia. JIST (2015)
Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu
A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia. CoRR (2015)
Kan Ren, Risto Sarvas, Janko Calic
Interactive search and browsing interface for large-scale visual repositories. Multim. Tools Appl. 49 (3) (2010)
Kan Ren, Janko Calic, Risto Sarvas
User study of the free-eye photo browsing interface. WIAMIS (2010)
Kan Ren, Janko Calic
FreeEye: interactive intuitive interface for large-scale image browsing. ACM Multimedia (2009)
Kan Ren, Risto Sarvas, Janko Calic
FreeEye: intuitive summarisation of photo collections. ACM Multimedia (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kan Ren