FreeEye: interactive intuitive interface for large-scale image browsing. - Kan Ren; Janko Calic (ACM Multimedia, 2009)

FreeEye: intuitive summarisation of photo collections. - Kan Ren; Risto Sarvas; Janko Calic (ACM Multimedia, 2009)

User study of the free-eye photo browsing interface. - Kan Ren; Janko Calic; Risto Sarvas (WIAMIS, 2010)

Interactive search and browsing interface for large-scale visual repositories. - Kan Ren; Risto Sarvas; Janko Calic (Multim. Tools Appl., 2010)

System for intuitive interaction with large-scale visual databases. - Kan Ren (2010)

A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia. - Chenhao Zhu; Kan Ren; Xuan Liu; Haofen Wang; Yiding Tian; Yong Yu 001 (JIST, 2015)

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. - Kan Ren; Weinan Zhang 001; Yifei Rong; Haifeng Zhang 002; Yong Yu 001; Jun Wang 012 (CIKM, 2016)

Product-Based Neural Networks for User Response Prediction. - Yanru Qu; Han Cai; Kan Ren; Weinan Zhang 001; Yong Yu 001; Ying Wen 001; Jun Wang 012 (ICDM, 2016)

Functional Bid Landscape Forecasting for Display Advertising. - Yuchen Wang; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ECML/PKDD (1), 2016)

Optimal Real-Time Bidding Frameworks Discussion. - Weinan Zhang 001; Kan Ren; Jun Wang 012 (CoRR, 2016)

Volume Ranking and Sequential Selection in Programmatic Display Advertising. - Yuxuan Song; Kan Ren; Han Cai; Weinan Zhang 001; Yong Yu 001 (CIKM, 2017)

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. - Xuejian Wang; Lantao Yu; Kan Ren; Guanyu Tao; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (KDD, 2017)

Real-Time Bidding by Reinforcement Learning in Display Advertising. - Han Cai; Kan Ren; Weinan Zhang 001; Kleanthis Malialis; Jun Wang 012; Yong Yu 001; Defeng Guo (WSDM, 2017)

Managing Risk of Bidding in Display Advertising. - Haifeng Zhang 002; Weinan Zhang 001; Yifei Rong; Kan Ren; Wenxin Li 005; Jun Wang 012 (WSDM, 2017)

Salient motion detection using proximal robust principal component analysis method. - Pengcheng Wang; Qian Chen 002; Weixian Qian; Kan Ren; Zheyi Yao; Fuyuan Xu (J. Electronic Imaging, 2017)

Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. - Kan Ren; Yuchen Fang; Weinan Zhang 001; Shuhao Liu 002; Jiajun Li; Ya Zhang 002; Yong Yu 001; Jun Wang 012 (CIKM, 2018)

Activation Maximization Generative Adversarial Nets. - Zhiming Zhou 001; Han Cai; Shu Rong; Yuxuan Song; Kan Ren; Weinan Zhang 001; Jun Wang 012; Yong Yu 001 (ICLR (Poster), 2018)

Dual-correlation transformation for image stitching. - Jiajie Wang; Guohua Gu; Minjie Wan; Kan Ren (J. Electronic Imaging, 2018)

Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking. - Minjie Wan; Guohua Gu; Weixian Qian; Kan Ren; Qian Chen 002; Hai Zhang 003; Xavier Maldague (Remote. Sens., 2018)

Infrared Image Enhancement Using Adaptive Histogram Partition and Brightness Correction. - Minjie Wan; Guohua Gu; Weixian Qian; Kan Ren; Qian Chen 002; Xavier Maldague (Remote. Sens., 2018)

A Level Set Method for Infrared Image Segmentation Using Global and Local Information. - Minjie Wan; Guohua Gu; Jianhong Sun; Weixian Qian; Kan Ren; Qian Chen 002; Xavier Maldague (Remote. Sens., 2018)

Inclinometer Assembly Error Calibration and Horizontal Image Correction in Photoelectric Measurement Systems. - Xiaofang Kong; Qian Chen 002; Jiajie Wang; Guohua Gu; Pengcheng Wang; Weixian Qian; Kan Ren; Xiaotao Miao (Sensors, 2018)

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. - Kan Ren; Weinan Zhang 001; Ke Chang; Yifei Rong; Yong Yu 001; Jun Wang 012 (IEEE Trans. Knowl. Data Eng., 2018)

Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. - Guansong Lu; Zhiming Zhou 001; Yuxuan Song; Kan Ren; Yong Yu 001 (AAAI, 2019)

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)

Pulses Classification Based on Sparse Auto-Encoders Neural Networks. - Kan Ren; Hongliang Ye; Guohua Gu; Qian Chen 002 (IEEE Access, 2019)

Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation. - Minjie Wan; Guohua Gu; Weixian Qian; Kan Ren; Xavier Maldague; Qian Chen 002 (IEEE Internet Things J., 2019)

A Deep Recurrent Survival Model for Unbiased Ranking. - Jiarui Jin; Yuchen Fang; Weinan Zhang 001; Kan Ren; Guorui Zhou; Jian Xu 015; Yong Yu 001; Jun Wang 012; Xiaoqiang Zhu; Kun Gai (SIGIR, 2020)

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. - Sijin Zhou; Xinyi Dai; Haokun Chen; Weinan Zhang 001; Kan Ren; Ruiming Tang; Xiuqiang He 001; 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)

Infrared target tracking based on proximal robust principal component analysis method. - Chao Ma; Guohua Gu; Xin Miao; Minjie Wan; Weixian Qian; Kan Ren; Qian Chen 002 (CoRR, 2020)

Universal Trading for Order Execution with Oracle Policy Distillation. - Yuchen Fang; Kan Ren; Weiqing Liu; Dong Zhou; Weinan Zhang 001; Jiang Bian 002; Yong Yu 001; Tie-Yan Liu (AAAI, 2021)

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. - Yao Zhang 009; Yun Xiong; Dongsheng Li 002; Caihua Shan; Kan Ren; Yangyong Zhu (CIKM, 2021)

Towards Generating Real-World Time Series Data. - Hengzhi Pei; Kan Ren; Yuqing Yang 001; Chang Liu 030; Tao Qin 001; Dongsheng Li 002 (ICDM, 2021)

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 001 (KDD, 2021)

Robust object tracking using sparse color appearance model. - Wenguang Yang; Zijuan Luo; Kan Ren; Minjie Wan; Ye Qian; Yunkai Xu; Weixian Qian (J. Electronic Imaging, 2021)

Hierarchical Convolution Fusion-Based Adaptive Siamese Network for Infrared Target Tracking. - Yunkai Xu; Minjie Wan; Qian Chen 002; Weixian Qian; Kan Ren; Guohua Gu (IEEE Trans. Instrum. Meas., 2021)

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. - Zhengyu Yang 002; Kan Ren; Xufang Luo; Minghuan Liu; Weiqing Liu; Jiang Bian 002; Weinan Zhang 001; Dongsheng Li 002 (IJCAI, 2022)

Reinforcement Learning with Automated Auxiliary Loss Search. - Tairan He; Yuge Zhang; Kan Ren; Minghuan Liu; Che Wang; Weinan Zhang 001; Yuqing Yang 001; Dongsheng Li 002 (NeurIPS, 2022)

Bootstrapped Transformer for Offline Reinforcement Learning. - Kerong Wang; Hanye Zhao; Xufang Luo; Kan Ren; Weinan Zhang 001; Dongsheng Li 002 (NeurIPS, 2022)

Infrared target tracking based on proximal robust principal component analysis method. - Chao Ma; Minjie Wan; Yunkai Xu; Kan Ren; Weixian Qian; Qian Chen 002; Guohua Gu (Appl. Intell., 2022)

Infrared small target detection via region super resolution generative adversarial network. - Kan Ren; Yuan Gao; Minjie Wan; Guohua Gu; Qian Chen 002 (Appl. Intell., 2022)

Domain Generalization using Pretrained Models without Fine-tuning. - Ziyue Li; Kan Ren; Xinyang Jiang; Bo Li 080; Haipeng Zhang; Dongsheng Li 002 (CoRR, 2022)

Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. - Wang Lu; Jindong Wang 001; Yidong Wang 003; Kan Ren; Yiqiang Chen 001; Xing Xie 001 (CoRR, 2022)

Total Variation-Based Interframe Infrared Patch-Image Model for Small Target Detection. - Minjie Wan; Guohua Gu; Yunkai Xu; Weixian Qian; Kan Ren; Qian Chen 002 (IEEE Geosci. Remote. Sens. Lett., 2022)

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. - Yuchen Fang; Kan Ren; Caihua Shan; Yifei Shen 004; You Li; Weinan Zhang 001; Yong Yu 001; Dongsheng Li 002 (AAAI, 2023)

Towards Inference Efficient Deep Ensemble Learning. - Ziyue Li; Kan Ren; Yifan Yang 004; Xinyang Jiang; Yuqing Yang 001; Dongsheng Li 002 (AAAI, 2023)

SIMPLE: Specialized Model-Sample Matching for Domain Generalization. - Ziyue Li; Kan Ren; Xinyang Jiang; Yifei Shen 004; Haipeng Zhang; Dongsheng Li 002 (ICLR, 2023)

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 004; Dongsheng Li 002 (ICML, 2023)

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. - Yuchen Fang; Zhenggang Tang; Kan Ren; Weiqing Liu; Li Zhao 007; Jiang Bian 002; Dongsheng Li 002; Weinan Zhang 001; Yong Yu 001; Tie-Yan Liu (KDD, 2023)

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. - Yuqi Chen 018; Kan Ren; Yansen Wang; Yuchen Fang; Weiwei Sun 008; Dongsheng Li 002 (NeurIPS, 2023)

Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling. - Ke Yi 003; Yansen Wang; Kan Ren; Dongsheng Li 002 (NeurIPS, 2023)

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 001; Tao Zhuang; Weiwen Liu; Kan Ren; Weinan Zhang 001; Xiangyu Zhao 001 (RecSys, 2023)

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 002; Lili Qiu (SMC, 2023)

AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. - Yang Liu 212; Shen Yan; Yuge Zhang; Kan Ren; Quanlu Zhang; Zebin Ren; Deng Cai 001; Mi Zhang 002 (CoRR, 2023)

Is Risk-Sensitive Reinforcement Learning Properly Resolved? - Ruiwen Zhou; Minghuan Liu; Kan Ren; Xufang Luo; Weinan Zhang 001; Dongsheng Li 002 (CoRR, 2023)

Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. - Yu-Ting Lan; Kan Ren; Yansen Wang; Wei-Long Zheng; Dongsheng Li 002; Bao-Liang Lu; Lili Qiu (CoRR, 2023)

Maritime Small Target Detection Based on Appearance Stability and Depth-Normalized Motion Saliency in Infrared Video With Dense Sunglints. - Fan Wang 037; Weixian Qian; Kan Ren; Minjie Wan; Guohua Gu; Qian Chen 002 (IEEE Trans. Geosci. Remote. Sens., 2023)

Maritime Infrared Small Target Detection Based on the Appearance Stable Isotropy Measure in Heavy Sea Clutter Environments. - Fan Wang 037; Weixian Qian; Ye Qian; Chao Ma; He Zhang; Jiajie Wang; Minjie Wan; Kan Ren (Sensors, 2023)

Recommender Systems - Frontiers and Practices - Dongsheng Li 002; Jianxun Lian; Le Zhang; Kan Ren; Tun Lu; Tao Wu; Xing Xie 001 (Springer, 2024)

Benchmarking Data Science Agents. - Yuge Zhang; Qiyang Jiang; Xingyu Han; Nan Chen; Yuqing Yang 001; Kan Ren (ACL (1), 2024)

Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CIKM, 2024)

Automated Contrastive Learning Strategy Search for Time Series. - Baoyu Jing; Yansen Wang; Guoxin Sui; Jing Hong; Jingrui He; Yuqing Yang 001; Dongsheng Li 002; Kan Ren (CIKM, 2024)

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. - Lei Zhang; Yuge Zhang; Kan Ren; Dongsheng Li 002; Yuqing Yang 001 (EACL (1), 2024)

CNN Kernels Can Be the Best Shapelets. - Eric Qu; Yansen Wang; Xufang Luo; Wenqiang He; Kan Ren; Dongsheng Li 002 (ICLR, 2024)

TaskBench: Benchmarking Large Language Models for Task Automation. - Yongliang Shen 001; Kaitao Song; Xu Tan 003; Wenqi Zhang 001; Kan Ren; Siyu Yuan; Weiming Lu 001; Dongsheng Li 002; Yueting Zhuang (NeurIPS, 2024)

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. - Shutong Ding; Ke Hu; Zhenhao Zhang; Kan Ren; Weinan Zhang 001; Jingyi Yu 001; Jingya Wang; Ye Shi 001 (NeurIPS, 2024)

Towards Editing Time Series. - Baoyu Jing; Shuqi Gu; Tianyu Chen; Zhiyu Yang; Dongsheng Li 002; Jingrui He; Kan Ren (NeurIPS, 2024)

EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals. - Xuan-Hao Liu; Yan-Kai Liu; Yansen Wang; Kan Ren; Hanwen Shi; Zilong Wang 006; Dongsheng Li 002; Bao-Liang Lu; Wei-Long Zheng (NeurIPS, 2024)

EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model. - Yuqi Chen 018; Kan Ren; Kaitao Song; Yansen Wang; Yifan Wang; Dongsheng Li 002; Lili Qiu (CoRR, 2024)

CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. - Baoyu Jing; Dawei Zhou 003; Kan Ren; Carl Yang 001 (CoRR, 2024)

Multistage Interaction Network for Remote Sensing Change Detection. - Meng Zhou; Weixian Qian; Kan Ren (Remote. Sens., 2024)

Dynamic Multiple Object Segmentation with Spatio-Temporal Filtering. - Wenguang Yang; Kan Ren; Minjie Wan; Xiaofang Kong; Weixian Qian (Sensors, 2024)

Learning to Select In-Context Demonstration Preferred by Large Language Model. - Zheng Zhang; Shaocheng Lan; Lei Song; Jiang Bian; Yexin Li; Kan Ren (ACL (Findings), 2025)

Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability. - Yingdong Shi; Changming Li; Yifan Wang; Yongxiang Zhao; Anqi Pang; Sibei Yang; Jingyi Yu; Kan Ren (CVPR, 2025)

Discovering Influential Neuron Path in Vision Transformers. - Yifan Wang; Yifei Liu; Yingdong Shi; Changming Li; Anqi Pang; Sibei Yang; Jingyi Yu; Kan Ren (ICLR, 2025)

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. - Siyu Yuan; Kaitao Song; Jiangjie Chen; Xu Tan 003; Yongliang Shen 001; Kan Ren; Dongsheng Li 002; Deqing Yang (NAACL (Long Papers), 2025)

BCVR: Bootstrap Clustering with Variance Regularization and Covariance Contrast for Self-supervised Learning. - Cong Guo; Kan Ren; Qian Chen (Knowl. Based Syst., 2025)

Cross-domain UAV pose estimation: A novel attempt in UAV visual localization. - Wenhao Lin; Tao Liu; Kan Ren; Qian Chen (Knowl. Based Syst., 2025)

Infrared Small Target Detection Based on Approximate Background Regularization and Bimodal Slice Based Graph Constraints. - Xiaoling Ge; Zipeng Fu; Xuelian Yu; Weixian Qian; Kan Ren; Minjie Wan; Guohua Gu (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Attention-Based Mask R-CNN Enhancement for Infrared Image Target Segmentation. - Liang Wang; Kan Ren (Symmetry, 2025)

VisEval: A Benchmark for Data Visualization in the Era of Large Language Models. - Nan Chen; Yuge Zhang; Jiahang Xu; Kan Ren; Yuqing Yang 001 (IEEE Trans. Vis. Comput. Graph., 2025)

Chain-of-Model Learning for Language Model. - Kaitao Song; Xiaohua Wang; Xu Tan 003; Huiqiang Jiang; Chengruidong Zhang; Yongliang Shen 001; Cen LU; Zihao Li 006; Zifan Song; Caihua Shan; Yansen Wang; Kan Ren; et al. (CoRR, 2025)

Kairos: Towards Adaptive and Generalizable Time Series Foundation Models. - Kun Feng; Shaocheng Lan; Yuchen Fang; Wenchao He; Lintao Ma; Xingyu Lu; Kan Ren (CoRR, 2025)

Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning. - Zheng Zhang; Ziwei Shan; Kaitao Song; Yexin Li; Kan Ren (CoRR, 2025)

Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization. - Tao Liu; Kan Ren; Qian Chen (CoRR, 2025)