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2020 – today
- 2021
[j110]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington
, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting future cognitive decline with hyperbolic stochastic coding. Medical Image Anal. 70: 102009 (2021)- [j109]Lina J. Karam, Jay Katupitiya, Vicente Milanés, Ioannis Pitas, Jieping Ye:
Autonomous Driving: Part 2-Learning and Cognition [From the Guest Editors]. IEEE Signal Process. Mag. 38(1): 20-21 (2021) - [j108]Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei:
Multi-Grained Attention Networks for Single Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. 31(2): 512-522 (2021) - [j107]Zhengxia Zou, Tianyang Shi, Zhenwei Shi, Jieping Ye:
Adversarial Training for Solving Inverse Problems in Image Processing. IEEE Trans. Image Process. 30: 2513-2525 (2021) - [j106]Jie Gui, Yuan Cao, Heng Qi, Keqiu Li, Jieping Ye, Chao Liu, Xiaowei Xu:
Fast kNN Search in Weighted Hamming Space With Multiple Tables. IEEE Trans. Image Process. 30: 3985-3994 (2021) - [j105]Rui Han, Chi Harold Liu, Shilin Li, Lydia Y. Chen, Guoren Wang, Jian Tang, Jieping Ye:
SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning. IEEE Trans. Knowl. Data Eng. 33(5): 2223-2236 (2021) - [i87]Jie Zhang, Qunxi Dong, Jie Shi, Qingyang Li, Cynthia M. Stonnington, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang:
Predicting Future Cognitive Decline with Hyperbolic Stochastic Coding. CoRR abs/2102.10503 (2021) - [i86]Yan Jiao, Xiaocheng Tang, Zhiwei Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye:
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR abs/2103.04555 (2021) - 2020
- [j104]Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye:
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. Interfaces 50(5): 272-286 (2020) - [j103]Lina J. Karam, Jay Katupitiya, Vicente Milanés, Ioannis Pitas, Jieping Ye:
Autonomous Driving: Part 1-Sensing and Perception [From the Guest Editors]. IEEE Signal Process. Mag. 37(4): 11-13 (2020) - [j102]Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji:
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. IEEE Trans. Big Data 6(2): 322-333 (2020) - [j101]Yang Liu, Zhiyuan Liu, Cheng Lyu, Jieping Ye:
Attention-Based Deep Ensemble Net for Large-Scale Online Taxi-Hailing Demand Prediction. IEEE Trans. Intell. Transp. Syst. 21(11): 4798-4807 (2020) - [c236]Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning. AAAI 2020: 4132-4139 - [c235]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. AAAI 2020: 4876-4883 - [c234]Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li, Jieping Ye:
Masked-field Pre-training for User Intent Prediction. CIKM 2020: 2789-2796 - [c233]Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu:
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM 2020: 2805-2812 - [c232]Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye:
PropagationNet: Propagate Points to Curve to Learn Structure Information. CVPR 2020: 7263-7272 - [c231]Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye:
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images. CVPR 2020: 12803-12813 - [c230]Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Adaptive Object Detection with Dual Multi-label Prediction. ECCV (28) 2020: 54-69 - [c229]Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. ECCV Workshops (1) 2020: 671-686 - [c228]Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye:
AHINE: Adaptive Heterogeneous Information Network Embedding. ICKG 2020: 100-107 - [c227]Hongzhi Shi, Quanming Yao, Qi Guo, Yaguang Li, Lingyu Zhang, Jieping Ye, Yong Li, Yan Liu:
Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network. ICDE 2020: 1818-1821 - [c226]Yuan Zhao, Lyuwei Wang, Luanxuan Hou, Chunsheng Gan, Zhipeng Huang, Xu Hu, Haifeng Shen, Jieping Ye:
Real Time Object Detection for Traffic Based on Knowledge Distillation: 3rd Place Solution to Pair Competition. ICME Workshops 2020: 1-6 - [c225]Zehui Yu, Xiehe Huang, Xiubao Zhang, Haifeng Shen, Qun Li, Weihong Deng, Jian Tang, Yi Yang, Jieping Ye:
A Multi-Modal Approach for Driver Gaze Prediction to Remove Identity Bias. ICMI 2020: 768-776 - [c224]Mo Sun, Jian Li, Hui Feng, Wei Gou, Haifeng Shen, Jian Tang, Yi Yang, Jieping Ye:
Multi-modal Fusion Using Spatio-temporal and Static Features for Group Emotion Recognition. ICMI 2020: 835-840 - [c223]Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Road Network Metric Learning for Estimated Time of Arrival. ICPR 2020: 1820-1827 - [c222]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. ICPR 2020: 3483-3490 - [c221]Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei:
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. KDD 2020: 2368-2377 - [c220]Huiting Hong, Yucheng Lin, Xiaoqing Yang, Zang Li, Kung Fu, Zheng Wang, Xiaohu Qie, Jieping Ye:
HetETA: Heterogeneous Information Network Embedding for Estimating Time of Arrival. KDD 2020: 2444-2454 - [c219]Wenjuan Luo, Han Zhang, Xiaodi Yang, Lin Bo, Xiaoqing Yang, Zang Li, Xiaohu Qie, Jieping Ye:
Dynamic Heterogeneous Graph Neural Network for Real-time Event Prediction. KDD 2020: 3213-3223 - [c218]Kun Fu, Fanlin Meng, Jieping Ye, Zheng Wang:
CompactETA: A Fast Inference System for Travel Time Prediction. KDD 2020: 3337-3345 - [c217]Che Liu, Junfeng Jiang, Chao Xiong, Yi Yang, Jieping Ye:
Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time. KDD 2020: 3377-3385 - [c216]Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss. NeurIPS 2020 - [c215]Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye:
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. NeurIPS 2020 - [c214]Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha:
Deep Natural Language Processing for Search and Recommendation. SIGIR 2020: 2461-2463 - [c213]Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight:
DiDi's Machine Translation System for WMT2020. WMT@EMNLP 2020: 105-112 - [c212]Mengyue Yang, Qingyang Li, Zhiwei Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. WWW 2020: 292-302 - [i85]Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye:
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. CoRR abs/2001.06937 (2020) - [i84]Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye:
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR abs/2002.01711 (2020) - [i83]Shuang Qiu, Xiaohan Wei, Zhuoran Yang, Jieping Ye, Zhaoran Wang:
Upper Confidence Primal-Dual Optimization: Stochastically Constrained Markov Decision Processes with Adversarial Losses and Unknown Transitions. CoRR abs/2003.00660 (2020) - [i82]Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Yiping Meng, Ran He, Jieping Ye:
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation. CoRR abs/2003.07516 (2020) - [i81]Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Adaptive Object Detection with Dual Multi-Label Prediction. CoRR abs/2003.12943 (2020) - [i80]Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye:
Mutual Learning Network for Multi-Source Domain Adaptation. CoRR abs/2003.12944 (2020) - [i79]Mengyue Yang, Qingyang Li, Zhiwei Qin, Jieping Ye:
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. CoRR abs/2004.01136 (2020) - [i78]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. CoRR abs/2004.10958 (2020) - [i77]Chao Xiong, Che Liu, Zijun Xu, Junfeng Jiang, Jieping Ye:
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/2005.07923 (2020) - [i76]Bingyu Liu, Zhen Zhao, Zhenpeng Li, Jianan Jiang, Yuhong Guo, Jieping Ye:
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification. CoRR abs/2005.08463 (2020) - [i75]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Fusion Recurrent Neural Network. CoRR abs/2006.04069 (2020) - [i74]Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Ziang Yan, Changshui Zhang, Jieping Ye:
FMA-ETA: Estimating Travel Time Entirely Based on FFN With Attention. CoRR abs/2006.04077 (2020) - [i73]Zhen Zhao, Bingyu Liu, Yuhong Guo, Jieping Ye:
Ensemble Model with Batch Spectral Regularization and Data Blending for Cross-Domain Few-Shot Learning with Unlabeled Data. CoRR abs/2006.04323 (2020) - [i72]Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye:
A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning. CoRR abs/2006.11384 (2020) - [i71]Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye:
Road Network Metric Learning for Estimated Time of Arrival. CoRR abs/2006.13477 (2020) - [i70]Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye:
PropagationNet: Propagate Points to Curve to Learn Structure Information. CoRR abs/2006.14308 (2020) - [i69]Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei:
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. CoRR abs/2008.07364 (2020) - [i68]Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang:
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR abs/2008.10103 (2020) - [i67]Jiang Lu, Pinghua Gong, Jieping Ye, Changshui Zhang:
Learning from Very Few Samples: A Survey. CoRR abs/2009.02653 (2020) - [i66]Yucheng Lin, Huiting Hong, Xiaoqing Yang, Xiaodi Yang, Pinghua Gong, Jieping Ye:
Meta Graph Attention on Heterogeneous Graph with Node-Edge Co-evolution. CoRR abs/2010.04554 (2020) - [i65]Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye:
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. CoRR abs/2010.07494 (2020) - [i64]Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight:
DiDi's Machine Translation System for WMT2020. CoRR abs/2010.08185 (2020) - [i63]Xuanzhao Wang, Zhengping Che, Ke Yang, Bo Jiang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi:
Robust Unsupervised Video Anomaly Detection by Multi-Path Frame Prediction. CoRR abs/2011.02763 (2020) - [i62]Jintao Ke, Siyuan Feng, Zheng Zhu, Hai Yang, Jieping Ye:
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach. CoRR abs/2011.05602 (2020) - [i61]Zhen Zhao, Yuhong Guo, Jieping Ye:
Bi-Dimensional Feature Alignment for Cross-Domain Object Detection. CoRR abs/2011.07205 (2020) - [i60]Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye:
Domain Adaptation with Incomplete Target Domains. CoRR abs/2012.01606 (2020) - [i59]Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng:
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. CoRR abs/2012.03438 (2020) - [i58]Wen-Jun Zeng, Jieping Ye:
Successive Projection for Solving Systems of Nonlinear Equations/Inequalities. CoRR abs/2012.07555 (2020)
2010 – 2019
- 2019
- [j100]Yan Li, Lu Wang, Jiayu Zhou, Jieping Ye:
Multi-task learning based survival analysis for multi-source block-wise missing data. Neurocomputing 364: 95-107 (2019) - [j99]Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang:
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction. J. Mach. Learn. Res. 20: 121:1-121:39 (2019) - [j98]Jie Wang, Zhanqiu Zhang, Jieping Ye:
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets. J. Mach. Learn. Res. 20: 163:1-163:42 (2019) - [j97]Milad Makkie, Xiang Li, Shannon Quinn, Binbin Lin, Jieping Ye, Geoffrey Mon, Tianming Liu:
A Distributed Computing Platform for fMRI Big Data Analytics. IEEE Trans. Big Data 5(2): 109-119 (2019) - [j96]Wei Zhang, Jinglei Lv, Xiang Li, Dajiang Zhu, Xi Jiang, Shu Zhang, Yu Zhao, Lei Guo, Jieping Ye, Dewen Hu, Tianming Liu:
Experimental Comparisons of Sparse Dictionary Learning and Independent Component Analysis for Brain Network Inference From fMRI Data. IEEE Trans. Biomed. Eng. 66(1): 289-299 (2019) - [j95]Kefei Liu, Jieping Ye, Yang Yang, Li Shen, Hui Jiang:
A Unified Model for Joint Normalization and Differential Gene Expression Detection in RNA-Seq Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 442-454 (2019) - [j94]Jintao Ke, Hai Yang, Hongyu Zheng, Xiqun Chen, Yitian Jia, Pinghua Gong, Jieping Ye:
Hexagon-Based Convolutional Neural Network for Supply-Demand Forecasting of Ride-Sourcing Services. IEEE Trans. Intell. Transp. Syst. 20(11): 4160-4173 (2019) - [c211]Ji Zhao, Dan Peng, Chuhan Wu, Huan Chen, Meiyu Yu, Wanji Zheng, Li Ma, Hua Chai, Jieping Ye, Xiaohu Qie:
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning. AAAI 2019: 1270-1277 - [c210]Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu:
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting. AAAI 2019: 3656-3663 - [c209]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee. AAAI 2019: 4312-4319 - [c208]Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye:
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. IEEE BigData 2019: 1450-1459 - [c207]Lingyu Zhang, Tianshu Song, Yongxin Tong, Zimu Zhou, Dan Li, Wei Ai, Lulu Zhang, Guobin Wu, Yan Liu, Jieping Ye:
Recommendation-based Team Formation for On-demand Taxi-calling Platforms. CIKM 2019: 59-68 - [c206]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM 2019: 1983-1992 - [c205]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CIKM 2019: 2645-2653 - [c204]Weinan Zhang, Haiming Jin, Lingyu Zhang, Hongtu Zhu, Zhenhui Jessie Li, Jieping Ye:
CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation). CIKM 2019: 2995-2996 - [c203]Zhengxia Zou, Wenyuan Li, Tianyang Shi, Zhenwei Shi, Jieping Ye:
Generative Adversarial Training for Weakly Supervised Cloud Matting. ICCV 2019: 201-210 - [c202]Max Guangyu Li, Bo Jiang, Zhengping Che, Xuefeng Shi, Mengyao Liu, Yiping Meng, Jieping Ye, Yan Liu:
DBUS: Human Driving Behavior Understanding System. ICCV Workshops 2019: 2436-2444 - [c201]Peng Cheng, Lei Chen, Jieping Ye:
Cooperation-Aware Task Assignment in Spatial Crowdsourcing. ICDE 2019: 1442-1453 - [c200]Haipeng Chen, Yan Jiao, Zhiwei Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye:
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM 2019: 61-70 - [c199]John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye:
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. ICDM 2019: 1090-1095 - [c198]Qunxi Dong, Jie Zhang, Qingyang Li, Paul M. Thompson, Richard J. Caselli, Jieping Ye, Yalin Wang:
Multi-task Dictionary Learning Based on Convolutional Neural Networks for Longitudinal Clinical Score Predictions in Alzheimer's Disease. HBAI@IJCAI 2019: 21-35 - [c197]Pei Yang, Qi Tan, Jieping Ye, Hanghang Tong, Jingrui He:
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets. IJCAI 2019: 4078-4084 - [c196]Jun Chen, Ji Zhu, Jieping Ye:
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech. INTERSPEECH 2019: 4085-4089 - [c195]Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye:
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. KDD 2019: 566-576 - [c194]Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye:
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD 2019: 1780-1790 - [c193]Chunyi Liu, Peng Wang, Jiang Xu, Zang Li, Jieping Ye:
Automatic Dialogue Summary Generation for Customer Service. KDD 2019: 1957-1965 - [c192]Jieping Ye:
Transportation: A Data Driven Approach. KDD 2019: 3183 - [c191]Zhiwei (Tony) Qin, Jian Tang, Jieping Ye:
Deep Reinforcement Learning with Applications in Transportation. KDD 2019: 3201-3202 - [c190]Fan Zhou, Tengfei Li, Haibo Zhou, Hongtu Zhu, Jieping Ye:
Graph-Based Semi-Supervised Learning with Non-ignorable Non-response. NeurIPS 2019: 7013-7023 - [c189]Minne Li, Zhiwei Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. WWW 2019: 983-994 - [i57]Ming Lin, Shuang Qiu, Jieping Ye, Xiaomin Song, Qi Qian, Liang Sun, Shenghuo Zhu, Rong Jin:
Which Factorization Machine Modeling is Better: A Theoretical Answer with Optimal Guarantee. CoRR abs/1901.11149 (2019) - [i56]Minne Li, Zhiwei Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye:
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR abs/1901.11454 (2019) - [i55]Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye:
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning. CoRR abs/1902.06228 (2019) - [i54]Ji Zhao, Meiyu Yu, Huan Chen, Boning Li, Lingyu Zhang, Qi Song, Li Ma, Hua Chai, Jieping Ye:
POI Semantic Model with a Deep Convolutional Structure. CoRR abs/1903.07279 (2019) - [i53]Zhengping Che, Max Guangyu Li, Tracy Li, Bo Jiang, Xuefeng Shi, Xinsheng Zhang, Ying Lu, Guobin Wu, Yan Liu, Jieping Ye:
D2-City: A Large-Scale Dashcam Video Dataset of Diverse Traffic Scenarios. CoRR abs/1904.01975 (2019) - [i52]Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye:
Object Detection in 20 Years: A Survey. CoRR abs/1905.05055 (2019) - [i51]Zhenyu Shou, Xuan Di, Jieping Ye, Hongtu Zhu, Robert C. Hampshire:
Where to Find Next Passengers on E-hailing Platforms? - A Markov Decision Process Approach. CoRR abs/1905.09906 (2019) - [i50]Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye:
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR abs/1905.11353 (2019) - [i49]Xu Geng, Xiyu Wu, Lingyu Zhang, Qiang Yang, Yan Liu, Jieping Ye:
Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting. CoRR abs/1905.11395 (2019) - [i48]Ning Liu, Xiaolong Ma, Zhiyuan Xu, Yanzhi Wang, Jian Tang, Jieping Ye:
AutoSlim: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates. CoRR abs/1907.03141 (2019) - [i47]Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo:
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle. CoRR abs/1907.05390 (2019) - [i46]Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye:
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. CoRR abs/1907.06584 (2019) - [i45]Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
AHINE: Adaptive Heterogeneous Information Network Embedding. CoRR abs/1909.01087 (2019) - [i44]Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei:
Multi-grained Attention Networks for Single Image Super-Resolution. CoRR abs/1909.11937 (2019) - [i43]Shupeng Gui, Xiangliang Zhang, Pan Zhong, Shuang Qiu, Mingrui Wu, Jieping Ye, Zhengdao Wang, Ji Liu:
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions. CoRR abs/1909.12903 (2019) - [i42]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CoRR abs/1910.02591 (2019) - [i41]Jintao Ke, Xiaoran Qin, Hai Yang, Zhengfei Zheng, Zheng Zhu, Jieping Ye:
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network. CoRR abs/1910.09103 (2019) - [i40]Yang Liu, Fanyou Wu, Baosheng Yu, Zhiyuan Liu, Jieping Ye:
Building Effective Large-Scale Traffic State Prediction System: Traffic4cast Challenge Solution. CoRR abs/1911.05699 (2019) - [i39]John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye:
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. CoRR abs/1911.11260 (2019) - [i38]Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye:
An Attention-based Graph Neural Network for Heterogeneous Structural Learning. CoRR abs/1912.10832 (2019) - 2018
- [j93]Shaogang Ren, Shuai Huang, Jieping Ye, Xiaoning Qian:
Safe Feature Screening for Generalized LASSO. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2992-3006 (2018) - [j92]Libin Zheng, Lei Chen, Jieping Ye:
Order Dispatch in Price-aware Ridesharing. Proc. VLDB Endow. 11(8): 853-865 (2018) - [j91]Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu:
A Unified Approach to Route Planning for Shared Mobility. Proc. VLDB Endow. 11(11): 1633-1646 (2018) - [j90]