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2020 – today
- 2024
[b2]Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie:
Recommender Systems - Frontiers and Practices. Springer 2024, ISBN 978-981-99-8963-8, pp. 1-280- [j19]Meng Zhou, Weixian Qian, Kan Ren:
Multistage Interaction Network for Remote Sensing Change Detection. Remote. Sens. 16(6): 1077 (2024) - [j18]Wenguang Yang, Kan Ren, Minjie Wan
, Xiaofang Kong, Weixian Qian:
Dynamic Multiple Object Segmentation with Spatio-Temporal Filtering. Sensors 24(7): 2094 (2024) - [c41]Yuge Zhang, Qiyang Jiang, XingyuHan XingyuHan, Nan Chen, Yuqing Yang, Kan Ren:
Benchmarking Data Science Agents. ACL (1) 2024: 5677-5700 - [c40]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CIKM 2024: 1027-1037 - [c39]Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren:
Automated Contrastive Learning Strategy Search for Time Series. CIKM 2024: 4612-4620 - [c38]Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang:
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. EACL (1) 2024: 2931-2959 - [c37]Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li:
CNN Kernels Can Be the Best Shapelets. ICLR 2024 - [i38]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 abs/2401.06201 (2024) - [i37]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 abs/2401.10278 (2024) - [i36]Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li:
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. CoRR abs/2402.10635 (2024) - [i35]Yuge Zhang, Qiyang Jiang, Xingyu Han, Nan Chen, Yuqing Yang, Kan Ren:
Benchmarking Data Science Agents. CoRR abs/2402.17168 (2024) - [i34]Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang:
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR abs/2403.11960 (2024) - [i33]Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren:
Automated Contrastive Learning Strategy Search for Time Series. CoRR abs/2403.12641 (2024) - [i32]Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi:
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. CoRR abs/2405.16173 (2024) - [i31]Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang:
VisEval: A Benchmark for Data Visualization in the Era of Large Language Models. CoRR abs/2407.00981 (2024) - 2023
- [j17]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): 9838 (2023) - [j16]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: 1-19 (2023) - [c36]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: 7530-7538 - [c35]Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li:
Towards Inference Efficient Deep Ensemble Learning. AAAI 2023: 8711-8719 - [c34]Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li:
SIMPLE: Specialized Model-Sample Matching for Domain Generalization. ICLR 2023 - [c33]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: 35817-35835 - [c32]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: 4003-4012 - [c31]Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li:
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. NeurIPS 2023 - [c30]Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li:
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling. NeurIPS 2023 - [c29]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: 1276-1280 - [c28]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: 196-201 - [i30]Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li:
Towards Inference Efficient Deep Ensemble Learning. CoRR abs/2301.12378 (2023) - [i29]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 abs/2304.08756 (2023) - [i28]Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang:
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. CoRR abs/2304.14979 (2023) - [i27]Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li:
Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR abs/2307.00547 (2023) - [i26]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 abs/2307.03119 (2023) - [i25]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 abs/2307.05382 (2023) - [i24]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 abs/2308.02510 (2023) - [i23]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 abs/2311.18760 (2023) - 2022
- [j15]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): 2785-2800 (2022) - [j14]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): 11725-11737 (2022) - [j13]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: 1-5 (2022) - [c27]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: 3659-3665 - [c26]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 - [c25]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS 2022 - [i22]Ziyue Li, Kan Ren, Xinyang Jiang, Bo Li, Haipeng Zhang, Dongsheng Li:
Domain Generalization using Pretrained Models without Fine-tuning. CoRR abs/2203.04600 (2022) - [i21]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 abs/2205.09284 (2022) - [i20]Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li:
Bootstrapped Transformer for Offline Reinforcement Learning. CoRR abs/2206.08569 (2022) - [i19]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 abs/2209.00652 (2022) - [i18]Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li:
Reinforcement Learning with Automated Auxiliary Loss Search. CoRR abs/2210.06041 (2022) - 2021
- [j12]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) - [j11]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: 1-12 (2021) - [c24]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: 107-115 - [c23]Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu:
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM 2021: 2627-2636 - [c22]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. ICDM 2021: 469-478 - [c21]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: 4187-4188 - [i17]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 abs/2103.10860 (2021) - [i16]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. CoRR abs/2111.08386 (2021) - 2020
- [c20]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: 29-38 - [c19]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: 179-188 - [c18]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM 2020: 465-473 - [i15]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 abs/2004.14714 (2020) - [i14]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 abs/2006.10389 (2020) - [i13]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 abs/2010.05260 (2020)
2010 – 2019
- 2019
- [j10]Kan Ren, Hongliang Ye, Guohua Gu, Qian Chen:
Pulses Classification Based on Sparse Auto-Encoders Neural Networks. IEEE Access 7: 92651-92660 (2019) - [j9]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): 9689-9706 (2019) - [c17]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI 2019: 4432-4439 - [c16]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. AAAI 2019: 4798-4805 - [c15]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. KDD 2019: 363-372 - [c14]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: 565-574 - [i12]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 abs/1905.00758 (2019) - [i11]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. CoRR abs/1905.03028 (2019) - [i10]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. CoRR abs/1911.03883 (2019) - 2018
- [j8]Jiajie Wang, Guohua Gu, Minjie Wan, Kan Ren:
Dual-correlation transformation for image stitching. J. Electronic Imaging 27(03): 033040 (2018) - [j7]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): 510 (2018) - [j6]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): 682 (2018) - [j5]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): 1039 (2018) - [j4]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): 248 (2018) - [j3]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): 645-659 (2018) - [c13]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: 1433-1442 - [c12]Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Activation Maximization Generative Adversarial Nets. ICLR (Poster) 2018 - [i9]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 abs/1803.02194 (2018) - [i8]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 abs/1808.03737 (2018) - [i7]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. CoRR abs/1809.02403 (2018) - [i6]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. CoRR abs/1811.06284 (2018) - 2017
- [j2]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): 23004 (2017) - [c11]Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu:
Volume Ranking and Sequential Selection in Programmatic Display Advertising. CIKM 2017: 1099-1107 - [c10]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: 2051-2059 - [c9]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. WSDM 2017: 581-590 - [c8]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: 661-670 - [i5]Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. CoRR abs/1701.02433 (2017) - [i4]Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR abs/1701.02490 (2017) - 2016
- [c7]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: 679-688 - [c6]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-Based Neural Networks for User Response Prediction. ICDM 2016: 1149-1154 - [c5]Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu:
Functional Bid Landscape Forecasting for Display Advertising. ECML/PKDD (1) 2016: 115-131 - [i3]Weinan Zhang, Kan Ren, Jun Wang:
Optimal Real-Time Bidding Frameworks Discussion. CoRR abs/1602.01007 (2016) - [i2]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-based Neural Networks for User Response Prediction. CoRR abs/1611.00144 (2016) - 2015
- [c4]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: 219-234 - [i1]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 abs/1510.04780 (2015) - 2010
- [b1]Kan Ren:
System for intuitive interaction with large-scale visual databases. University of Surrey, Guildford, UK, 2010 - [j1]Kan Ren, Risto Sarvas, Janko Calic:
Interactive search and browsing interface for large-scale visual repositories. Multim. Tools Appl. 49(3): 513-528 (2010) - [c3]Kan Ren, Janko Calic, Risto Sarvas:
User study of the free-eye photo browsing interface. WIAMIS 2010: 1-4
2000 – 2009
- 2009
- [c2]Kan Ren, Janko Calic:
FreeEye: interactive intuitive interface for large-scale image browsing. ACM Multimedia 2009: 757-760 - [c1]Kan Ren, Risto Sarvas, Janko Calic:
FreeEye: intuitive summarisation of photo collections. ACM Multimedia 2009: 1127-1128
Coauthor Index
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