Kan Ren - RankMe

129 papers A* 31A 10B 1Journal 77Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AMSFusion: An Adaptive Multi-Scale Infrared and Visible Image Fusion Network Based on Attention Mechanisms. IEEE Trans. Circuits Syst. Video Technol. Qimin Yang, Kan Ren, Qian Chen
2026	J	`jnl`	ConTSG-Bench: A Unified Benchmark for Conditional Time Series Generation. CoRR Shaocheng Lan, Shuqi Gu, Zhangzhi Xiong, Kan Ren
2026	J	`jnl`	DiffusionUavLoc: Visually Prompted Diffusion for Cross-View UAV Localization. IEEE Internet Things J. Tao Liu, Kan Ren, Qian Chen
2026	J	`jnl`	Grad2Reward: From Sparse Judgment to Dense Rewards for Improving Open-Ended LLM Reasoning. CoRR Zheng Zhang, Ao Lu, Yuanhao Zeng, Ziwei Shan, Jinjin Guo, Lufei Li, Yexin Li, Kan Ren
2026	J	`jnl`	Interpreting and Controlling LLM Reasoning through Integrated Policy Gradient. CoRR Changming Li, Kaixing Zhang, Haoyun Xu, Yingdong Shi, Zheng Zhang, Kaitao Song, Kan Ren
2026	J	`jnl`	MAMFusion: Infrared and visible image fusion based on main and auxiliary cross-attention and target mask. Knowl. Based Syst. Lin Miao, Qimin Yang, Kan Ren, Qian Chen
2026	J	`jnl`	No Labels, No Look-Ahead: Unsupervised Online Video Stabilization with Classical Priors. CoRR Tao Liu, Gang Wan, Kan Ren, Shibo Wen
2025	J	`jnl`	Attention-Based Mask R-CNN Enhancement for Infrared Image Target Segmentation. Symmetry Liang Wang, Kan Ren
2025	J	`jnl`	BCVR: Bootstrap Clustering with Variance Regularization and Covariance Contrast for Self-supervised Learning. Knowl. Based Syst. Cong Guo, Kan Ren, Qian Chen
2025	J	`jnl`	Chain-of-Model Learning for Language Model. CoRR Kaitao Song, Xiaohua Wang, Xu Tan, Huiqiang Jiang, Chengruidong Zhang, Yongliang Shen, Cen Lu, Zihao Li, Zifan Song, Caihua Shan, Yansen Wang, Kan Ren, Xiaoqing Zheng, Tao Qin, Yuqing Yang, Dongsheng Li, Lili Qiu
2025	J	`jnl`	Cross-domain UAV pose estimation: A novel attempt in UAV visual localization. Knowl. Based Syst. Wenhao Lin, Tao Liu, Kan Ren, Qian Chen
2025	J	`jnl`	DiffusionUavLoc: Visually Prompted Diffusion for Cross-View UAV Localization. CoRR Tao Liu, Kan Ren, Qian Chen
2025	A*	`conf`	Discovering Influential Neuron Path in Vision Transformers. ICLR Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
2025	J	`jnl`	Discovering Influential Neuron Path in Vision Transformers. CoRR Yifan Wang, Yifei Liu, Yingdong Shi, Changming Li, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
2025	A*	`conf`	Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability. CVPR Yingdong Shi, Changming Li, Yifan Wang, Yongxiang Zhao, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
2025	J	`jnl`	Dissecting and Mitigating Diffusion Bias via Mechanistic Interpretability. CoRR Yingdong Shi, Changming Li, Yifan Wang, Yongxiang Zhao, Anqi Pang, Sibei Yang, Jingyi Yu, Kan Ren
2025	—	`conf`	EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. NAACL (Long Papers) Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang
2025	J	`jnl`	Infrared Small Target Detection Based on Approximate Background Regularization and Bimodal Slice Based Graph Constraints. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiaoling Ge, Zipeng Fu, Xuelian Yu, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu
2025	J	`jnl`	Kairos: Towards Adaptive and Generalizable Time Series Foundation Models. CoRR Kun Feng, Shaocheng Lan, Yuchen Fang, Wenchao He, Lintao Ma, Xingyu Lu, Kan Ren
2025	—	`conf`	Learning to Select In-Context Demonstration Preferred by Large Language Model. ACL (Findings) Zheng Zhang, Shaocheng Lan, Lei Song, Jiang Bian, Yexin Li, Kan Ren
2025	J	`jnl`	Learning to Select In-Context Demonstration Preferred by Large Language Model. CoRR Zheng Zhang, Shaocheng Lan, Lei Song, Jiang Bian, Yexin Li, Kan Ren
2025	J	`jnl`	Linking Process to Outcome: Conditional Reward Modeling for LLM Reasoning. CoRR Zheng Zhang, Ziwei Shan, Kaitao Song, Yexin Li, Kan Ren
2025	J	`jnl`	Object Detection as an Optional Basis: A Graph Matching Network for Cross-View UAV Localization. CoRR Tao Liu, Kan Ren, Qian Chen
2025	A*	`conf`	VerbalTS: Generating Time Series from Texts. ICML Shuqi Gu, Chuyue Li, Baoyu Jing, Kan Ren
2025	J	`jnl`	VisEval: A Benchmark for Data Visualization in the Era of Large Language Models. IEEE Trans. Vis. Comput. Graph. Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang
2024	A	`conf`	Automated Contrastive Learning Strategy Search for Time Series. CIKM Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024	J	`jnl`	Automated Contrastive Learning Strategy Search for Time Series. CoRR Baoyu Jing, Yansen Wang, Guoxin Sui, Jing Hong, Jingrui He, Yuqing Yang, Dongsheng Li, Kan Ren
2024	—	`conf`	Benchmarking Data Science Agents. ACL (1) Yuge Zhang, Qiyang Jiang, Xingyu Han, Nan Chen, Yuqing Yang, Kan Ren
2024	J	`jnl`	Benchmarking Data Science Agents. CoRR Yuge Zhang, Qiyang Jiang, Xingyu Han, Nan Chen, Yuqing Yang, Kan Ren
2024	J	`jnl`	CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CoRR Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024	A*	`conf`	CNN Kernels Can Be the Best Shapelets. ICLR Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
2024	A	`conf`	Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation. CIKM Baoyu Jing, Dawei Zhou, Kan Ren, Carl Yang
2024	J	`jnl`	ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. CoRR Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
2024	A*	`conf`	Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. NeurIPS Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
2024	J	`jnl`	Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. CoRR Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
2024	J	`jnl`	Dynamic Multiple Object Segmentation with Spatio-Temporal Filtering. Sensors Wenguang Yang, Kan Ren, Minjie Wan, Xiaofang Kong, Weixian Qian
2024	J	`jnl`	EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction. CoRR Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang
2024	A*	`conf`	EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals. NeurIPS Xuan-Hao Liu, Yan-Kai Liu, Yansen Wang, Kan Ren, Hanwen Shi, Zilong Wang, Dongsheng Li, Bao-Liang Lu, Wei-Long Zheng
2024	J	`jnl`	EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model. CoRR Yuqi Chen, Kan Ren, Kaitao Song, Yansen Wang, Yifan Wang, Dongsheng Li, Lili Qiu
2024	—	`conf`	MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. EACL (1) Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
2024	J	`jnl`	Multistage Interaction Network for Remote Sensing Change Detection. Remote. Sens. Meng Zhou, Weixian Qian, Kan Ren
2024	—	`book`	Recommender Systems - Frontiers and Practices Dongsheng Li, Jianxun Lian, Le Zhang, Kan Ren, Tun Lu, Tao Wu, Xing Xie
2024	A*	`conf`	TaskBench: Benchmarking Large Language Models for Task Automation. NeurIPS Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
2024	A*	`conf`	Towards Editing Time Series. NeurIPS Baoyu Jing, Shuqi Gu, Tianyu Chen, Zhiyu Yang, Dongsheng Li, Jingrui He, Kan Ren
2024	J	`jnl`	VisEval: A Benchmark for Data Visualization in the Era of Large Language Models. CoRR Nan Chen, Yuge Zhang, Jiahang Xu, Kan Ren, Yuqing Yang
2023	J	`jnl`	AutoTaskFormer: Searching Vision Transformers for Multi-task Learning. CoRR Yang Liu, Shen Yan, Yuge Zhang, Kan Ren, Quanlu Zhang, Zebin Ren, Deng Cai, Mi Zhang
2023	A*	`conf`	CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling. ICML Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li
2023	A*	`conf`	ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling. NeurIPS Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li
2023	A	`conf`	International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with RecSys 2023. RecSys 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	J	`jnl`	Is Risk-Sensitive Reinforcement Learning Properly Resolved? CoRR Ruiwen Zhou, Minghuan Liu, Kan Ren, Xufang Luo, Weinan Zhang, Dongsheng Li
2023	A*	`conf`	Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
2023	A*	`conf`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	J	`jnl`	Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
2023	A*	`conf`	Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling. NeurIPS Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li
2023	J	`jnl`	MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks. CoRR Lei Zhang, Yuge Zhang, Kan Ren, Dongsheng Li, Yuqing Yang
2023	J	`jnl`	Maritime Infrared Small Target Detection Based on the Appearance Stable Isotropy Measure in Heavy Sea Clutter Environments. Sensors Fan Wang, Weixian Qian, Ye Qian, Chao Ma, He Zhang, Jiajie Wang, Minjie Wan, Kan Ren
2023	J	`jnl`	Maritime Small Target Detection Based on Appearance Stability and Depth-Normalized Motion Saliency in Infrared Video With Dense Sunglints. IEEE Trans. Geosci. Remote. Sens. Fan Wang, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu, Qian Chen
2023	B	`conf`	Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. SMC Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
2023	J	`jnl`	Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling. CoRR Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu
2023	A*	`conf`	SIMPLE: Specialized Model-Sample Matching for Domain Generalization. ICLR Ziyue Li, Kan Ren, Xinyang Jiang, Yifei Shen, Haipeng Zhang, Dongsheng Li
2023	J	`jnl`	Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals. CoRR Yu-Ting Lan, Kan Ren, Yansen Wang, Wei-Long Zheng, Dongsheng Li, Bao-Liang Lu, Lili Qiu
2023	J	`jnl`	TaskBench: Benchmarking Large Language Models for Task Automation. CoRR Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang
2023	A*	`conf`	Towards Inference Efficient Deep Ensemble Learning. AAAI Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
2023	J	`jnl`	Towards Inference Efficient Deep Ensemble Learning. CoRR Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li
2022	A*	`conf`	Bootstrapped Transformer for Offline Reinforcement Learning. NeurIPS Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Bootstrapped Transformer for Offline Reinforcement Learning. CoRR Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Domain Generalization using Pretrained Models without Fine-tuning. CoRR Ziyue Li, Kan Ren, Xinyang Jiang, Bo Li, Haipeng Zhang, Dongsheng Li
2022	J	`jnl`	Infrared small target detection via region super resolution generative adversarial network. Appl. Intell. Kan Ren, Yuan Gao, Minjie Wan, Guohua Gu, Qian Chen
2022	J	`jnl`	Infrared target tracking based on proximal robust principal component analysis method. Appl. Intell. Chao Ma, Minjie Wan, Yunkai Xu, Kan Ren, Weixian Qian, Qian Chen, Guohua Gu
2022	A*	`conf`	Reinforcement Learning with Automated Auxiliary Loss Search. NeurIPS Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022	J	`jnl`	Reinforcement Learning with Automated Auxiliary Loss Search. CoRR Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
2022	J	`jnl`	Total Variation-Based Interframe Infrared Patch-Image Model for Small Target Detection. IEEE Geosci. Remote. Sens. Lett. Minjie Wan, Guohua Gu, Yunkai Xu, Weixian Qian, Kan Ren, Qian Chen
2022	A*	`conf`	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. IJCAI Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble. CoRR Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li
2022	J	`jnl`	Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. CoRR Wang Lu, Jindong Wang, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie
2021	A*	`conf`	3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021. KDD Xiaoqiang Zhu, Kuang-Chih Lee, Guorui Zhou, Biye Jiang, Zhe Wang, Ruiming Tang, Kan Ren, Qingyao Ai, Weinan Zhang
2021	A	`conf`	CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph. CIKM Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren, Yangyong Zhu
2021	J	`jnl`	Hierarchical Convolution Fusion-Based Adaptive Siamese Network for Infrared Target Tracking. IEEE Trans. Instrum. Meas. Yunkai Xu, Minjie Wan, Qian Chen, Weixian Qian, Kan Ren, Guohua Gu
2021	J	`jnl`	Robust object tracking using sparse color appearance model. J. Electronic Imaging Wenguang Yang, Zijuan Luo, Kan Ren, Minjie Wan, Ye Qian, Yunkai Xu, Weixian Qian
2021	A*	`conf`	Towards Generating Real-World Time Series Data. ICDM Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
2021	J	`jnl`	Towards Generating Real-World Time Series Data. CoRR Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li
2021	A*	`conf`	Universal Trading for Order Execution with Oracle Policy Distillation. AAAI Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2021	J	`jnl`	Universal Trading for Order Execution with Oracle Policy Distillation. CoRR Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu
2020	A*	`conf`	A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
2020	J	`jnl`	A Deep Recurrent Survival Model for Unbiased Ranking. CoRR Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai
2020	J	`jnl`	Infrared target tracking based on proximal robust principal component analysis method. CoRR Chao Ma, Guohua Gu, Xin Miao, Minjie Wan, Weixian Qian, Kan Ren, Qian Chen
2020	A*	`conf`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	J	`jnl`	Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu
2020	A	`conf`	Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, 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`	Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, 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`	Pulses Classification Based on Sparse Auto-Encoders Neural Networks. IEEE Access Kan Ren, Hongliang Ye, Guohua Gu, Qian Chen
2019	J	`jnl`	Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. CoRR Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu
2019	J	`jnl`	Unmanned Aerial Vehicle Video-Based Target Tracking Algorithm Using Sparse Representation. IEEE Internet Things J. Minjie Wan, Guohua Gu, Weixian Qian, Kan Ren, Xavier Maldague, Qian Chen
2018	J	`jnl`	A Level Set Method for Infrared Image Segmentation Using Global and Local Information. Remote. Sens. Minjie Wan, Guohua Gu, Jianhong Sun, Weixian Qian, Kan Ren, Qian Chen, Xavier Maldague
2018	—	`conf`	Activation Maximization Generative Adversarial Nets. ICLR (Poster) Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
2018	J	`jnl`	Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. CoRR Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
2018	J	`jnl`	Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising. IEEE Trans. Knowl. Data Eng. Kan Ren, Weinan Zhang, Ke Chang, Yifei Rong, Yong Yu, Jun Wang
2018	J	`jnl`	Deep Recurrent Survival Analysis. CoRR Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu
2018	J	`jnl`	Dual-correlation transformation for image stitching. J. Electronic Imaging Jiajie Wang, Guohua Gu, Minjie Wan, Kan Ren
2018	J	`jnl`	Guiding the One-to-one Mapping in CycleGAN via Optimal Transport. CoRR Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu
2018	J	`jnl`	Inclinometer Assembly Error Calibration and Horizontal Image Correction in Photoelectric Measurement Systems. Sensors Xiaofang Kong, Qian Chen, Jiajie Wang, Guohua Gu, Pengcheng Wang, Weixian Qian, Kan Ren, Xiaotao Miao
2018	J	`jnl`	Infrared Image Enhancement Using Adaptive Histogram Partition and Brightness Correction. Remote. Sens. Minjie Wan, Guohua Gu, Weixian Qian, Kan Ren, Qian Chen, Xavier Maldague
2018	A	`conf`	Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CIKM Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
2018	J	`jnl`	Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. CoRR Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang
2018	J	`jnl`	Total Variation Regularization Term-Based Low-Rank and Sparse Matrix Representation Model for Infrared Moving Target Tracking. Remote. Sens. Minjie Wan, Guohua Gu, Weixian Qian, Kan Ren, Qian Chen, Hai Zhang, Xavier Maldague
2017	A*	`conf`	Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. KDD Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang
2017	A	`conf`	Managing Risk of Bidding in Display Advertising. WSDM Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
2017	J	`jnl`	Managing Risk of Bidding in Display Advertising. CoRR Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang
2017	A	`conf`	Real-Time Bidding by Reinforcement Learning in Display Advertising. WSDM Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
2017	J	`jnl`	Real-Time Bidding by Reinforcement Learning in Display Advertising. CoRR Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo
2017	J	`jnl`	Salient motion detection using proximal robust principal component analysis method. J. Electronic Imaging Pengcheng Wang, Qian Chen, Weixian Qian, Kan Ren, Zheyi Yao, Fuyuan Xu
2017	A	`conf`	Volume Ranking and Sequential Selection in Programmatic Display Advertising. CIKM Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu
2016	—	`conf`	Functional Bid Landscape Forecasting for Display Advertising. ECML/PKDD (1) Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
2016	J	`jnl`	Optimal Real-Time Bidding Frameworks Discussion. CoRR Weinan Zhang, Kan Ren, Jun Wang
2016	A*	`conf`	Product-Based Neural Networks for User Response Prediction. ICDM Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
2016	J	`jnl`	Product-based Neural Networks for User Response Prediction. CoRR Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang
2016	A	`conf`	User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. CIKM Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang
2015	J	`jnl`	A Graph Traversal Based Approach to Answer Non-Aggregation Questions Over DBpedia. CoRR Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu
2015	—	`conf`	A Graph Traversal Based Approach to Answer Non-Aggregation Questions over DBpedia. JIST Chenhao Zhu, Kan Ren, Xuan Liu, Haofen Wang, Yiding Tian, Yong Yu
2010	J	`jnl`	Interactive search and browsing interface for large-scale visual repositories. Multim. Tools Appl. Kan Ren, Risto Sarvas, Janko Calic
2010	—	`—`	System for intuitive interaction with large-scale visual databases. Kan Ren
2010	—	`conf`	User study of the free-eye photo browsing interface. WIAMIS Kan Ren, Janko Calic, Risto Sarvas
2009	A*	`conf`	FreeEye: interactive intuitive interface for large-scale image browsing. ACM Multimedia Kan Ren, Janko Calic
2009	A*	`conf`	FreeEye: intuitive summarisation of photo collections. ACM Multimedia Kan Ren, Risto Sarvas, Janko Calic