Jieping Ye

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 293

Top Venues

Publications

Yunkai Wang, Quyu Kong, He Zhu, Dongkun Zhang, Longzhong Lin, Hao Sha, Xunlong Xia, Qiao Liang, Bing Deng, Ken Chen, Rong Xiong, Yue Wang, Jieping Ye
Enhancing Closed-Loop Performance in Learning-Based Vehicle Motion Planning by Integrating Rule-Based Insights. IEEE Robotics Autom. Lett. 9 (9) (2024)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems. VLDB J. 33 (5) (2024)
Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph. ACL (1) (2024)
Lanyun Zhu, Deyi Ji, Tianrun Chen, Peng Xu, Jieping Ye, Jun Liu
IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding. CoRR (2024)
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Jieping Ye, Nenghai Yu
MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection. CoRR (2024)
Jingyu Lin, Jiaqi Gu, Bojian Wu, Lubin Fan, Renjie Chen, Ligang Liu, Jieping Ye
Learning Neural Volumetric Pose Features for Camera Localization. CoRR (2024)
Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu
Exploring the Application of Large-Scale Pre-Trained Models on Adverse Weather Removal. IEEE Trans. Image Process. 33 (2024)
Xize Liang, Chao Chen, Jie Wang, Yue Wu, Zhihang Fu, Zhihao Shi, Feng Wu, Jieping Ye
Robust Preference Optimization with Provable Noise Tolerance for LLMs. CoRR (2024)
Peng Li, Lixia Wu, Chaoqun Feng, Haoyuan Hu, Lei Fu, Jieping Ye
Differentiation of Multi-objective Data-driven Decision Pipeline. CoRR (2024)
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. CoRR (2024)
Kai Liu, Zhihang Fu, Sheng Jin, Chao Chen, Ze Chen, Rongxin Jiang, Fan Zhou, Yaowu Chen, Jieping Ye
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution. CoRR (2024)
Tingjin Luo, Yang Yang, Dongyun Yi, Jieping Ye
Robust discriminative feature learning with calibrated data reconstruction and sparse low-rank model. Appl. Intell. 54 (3) (2024)
Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD (2024)
Tianxiang Chen, Zhentao Tan, Tao Gong, Qi Chu, Yue Wu, Bin Liu, Le Lu, Jieping Ye, Nenghai Yu
Bootstrapping Audio-Visual Segmentation by Strengthening Audio Cues. CoRR (2024)
Shixiong Xu, Chenghao Zhang, Lubin Fan, Gaofeng Meng, Shiming Xiang, Jieping Ye
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization. CoRR (2024)
Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering. CoRR (2024)
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection. CoRR (2024)
Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu, Nenghai Yu, Jieping Ye
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization. ICLR (2024)
Kai Liu, Zhihang Fu, Sheng Jin, Ze Chen, Fan Zhou, Rongxin Jiang, Yaowu Chen, Jieping Ye
ESOD: Efficient Small Object Detection on High-Resolution Images. CoRR (2024)
Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang, Jieping Ye
Graph-constrained diffusion for End-to-End Path Planning. ICLR (2024)
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection. ICLR (2024)
Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
A3S: A General Active Clustering Method with Pairwise Constraints. CoRR (2024)
Kai Liu, Zhihang Fu, Chao Chen, Wei Zhang, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Enhancing LLM's Cognition via Structurization. CoRR (2024)
Xiaosu Zhu, Hualian Sheng, Sijia Cai, Bing Deng, Shaopeng Yang, Qiao Liang, Ken Chen, Lianli Gao, Jingkuan Song, Jieping Ye
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception. CoRR (2024)
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Yuan Qi, Jieping Ye
Tackling Long-Tailed Distribution Issue in Graph Neural Networks via Normalization. IEEE Trans. Knowl. Data Eng. 36 (5) (2024)
Ge Teng, Ting Mao, Chen Shen, Xiang Tian, Xuesong Liu, Yaowu Chen, Jieping Ye
URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering. KDD (2024)
Jinhua Zhang, Hualian Sheng, Sijia Cai, Bing Deng, Qiao Liang, Wen Li, Ying Fu, Jieping Ye, Shuhang Gu
PerlDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Models. CoRR (2024)
Yuxuan Liang, Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 13th International Workshop on Urban Computing. KDD (2024)
Kai Liu, Ze Chen, Zhihang Fu, Rongxin Jiang, Fan Zhou, Yaowu Chen, Yue Wu, Jieping Ye
Educating LLMs like Human Students: Structure-aware Injection of Domain Knowledge. CoRR (2024)
Hualian Sheng, Sijia Cai, Na Zhao, Bing Deng, Qiao Liang, Min-Jian Zhao, Jieping Ye
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer. CoRR (2024)
Deyi Ji, Feng Zhao, Lanyun Zhu, Wenwei Jin, Hongtao Lu, Jieping Ye
Discrete Latent Perspective Learning for Segmentation and Detection. CoRR (2024)
Xiaofeng Zhang, Chen Shen, Xiaosong Yuan, Shaotian Yan, Liang Xie, Wenxiao Wang, Chaochen Gu, Hao Tang, Jieping Ye
From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models. CoRR (2024)
Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection. CoRR (2024)
Zhengxia Zou, Keyan Chen, Zhenwei Shi, Yuhong Guo, Jieping Ye
Object Detection in 20 Years: A Survey. Proc. IEEE 111 (3) (2023)
Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang
A survey on machine learning from few samples. Pattern Recognit. 139 (2023)
Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. CVPR (2023)
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. CoRR (2023)
Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. ICDE (2023)
Junjie Liu, Junlong Liu, Rongxin Jiang, Xuesong Liu, Boxuan Gu, Yaowu Chen, Chen Shen, Jieping Ye
Self-Learning Symmetric Multi-view Probabilistic Clustering. CoRR (2023)
Shaotian Yan, Chen Shen, Junjie Liu, Jieping Ye
Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning. CoRR (2023)
Zhentao Tan, Yue Wu, Qiankun Liu, Qi Chu, Le Lu, Jieping Ye, Nenghai Yu
Exploring the Application of Large-scale Pre-trained Models on Adverse Weather Removal. CoRR (2023)
Deyi Ji, Feng Zhao, Hongtao Lu, Mingyuan Tao, Jieping Ye
Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark. CoRR (2023)
Yiheng Zhu, Yang Zhan, Xuankun Huang, Yuwei Chen, Yujie Chen, Jiangwen Wei, Wei Feng, Yinzhi Zhou, Haoyuan Hu, Jieping Ye
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment. NeurIPS (2023)
Xiong-Hui Chen, Fan-Ming Luo, Yang Yu, Qingyang Li, Zhiwei Qin, Wenjie Shang, Jieping Ye
Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Xiong-Hui Chen, Bowei He, Yang Yu, Qingyang Li, Zhiwei Tony Qin, Wenjie Shang, Jieping Ye, Chen Ma
Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems. CoRR (2023)
Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan
A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects. CoRR (2023)
Shuyue Wei, Yongxin Tong, Zimu Zhou, Qiaoyang Liu, Lulu Zhang, Yuxiang Zeng, Jieping Ye
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment. ICDE (2023)
Lanyun Zhu, Tianrun Chen, Deyi Ji, Jieping Ye, Jun Liu
LLaFS: When Large-Language Models Meet Few-Shot Segmentation. CoRR (2023)
Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. CVPR (2023)
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
Uncertainty-aware Unsupervised Multi-Object Tracking. ICCV (2023)
Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye
Uncertainty-aware Unsupervised Multi-Object Tracking. CoRR (2023)
Linzhi Huang, Yulong Li, Hongbo Tian, Yue Yang, Xiangang Li, Weihong Deng, Jieping Ye
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module. CoRR (2023)
Zhihao Shi, Jie Wang, Fanghua Lu, Hanzhu Chen, Defu Lian, Zheng Wang, Jieping Ye, Feng Wu
Label Deconvolution for Node Representation Learning on Large-scale Attributed Graphs against Learning Bias. CoRR (2023)
Kai Liu, Zhihang Fu, Chao Chen, Sheng Jin, Ze Chen, Mingyuan Tao, Rongxin Jiang, Jieping Ye
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions. NeurIPS (2023)
Han Yang, Fei Gu, Jieping Ye
Rethinking Learning-Based Method for Lossless Genome Compression. ICASSP (2023)
Wei Ai, Yan Chen, Qiaozhu Mei, Jieping Ye, Lingyu Zhang
Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform. Manag. Sci. 69 (9) (2023)
Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 12th International Workshop on Urban Computing. KDD (2023)
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. KDD (2023)
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection. NeurIPS (2023)
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. CoRR (2022)
Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. WWW (2022)
Yuan Cao, Junwei Liu, Heng Qi, Jie Gui, Keqiu Li, Jieping Ye, Chao Liu
Scalable Distributed Hashing for Approximate Nearest Neighbor Search. IEEE Trans. Image Process. 31 (2022)
Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 11th International Workshop on Urban Computing. KDD (2022)
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD (2022)
Siyuan Feng, Jintao Ke, Hai Yang, Jieping Ye
A Multi-Task Matrix Factorized Graph Neural Network for Co-Prediction of Zone-Based and OD-Based Ride-Hailing Demand. IEEE Trans. Intell. Transp. Syst. 23 (6) (2022)
Langzhang Liang, Zenglin Xu, Zixing Song, Irwin King, Jieping Ye
ResNorm: Tackling Long-tailed Degree Distribution Issue in Graph Neural Networks via Normalization. CoRR (2022)
Yiwen Sun, Kun Fu, Zheng Wang, Donghua Zhou, Kailun Wu, Jieping Ye, Changshui Zhang
CoDriver ETA: Combine Driver Information in Estimated Time of Arrival by Driving Style Learning Auxiliary Task. IEEE Trans. Intell. Transp. Syst. 23 (5) (2022)
Yiwen Sun, Wenzheng Hu, Donghua Zhou, Baichuan Mo, Kun Fu, Zhengping Che, Zheng Wang, Shenhao Wang, Jinhua Zhao, Jieping Ye, Jian Tang, Changshui Zhang
Alleviating Data Sparsity Problems in Estimated Time of Arrival via Auxiliary Metric Learning. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD (2022)
Jintao Ke, Feng Xiao, Hai Yang, Jieping Ye
Learning to Delay in Ride-Sourcing Systems: A Multi-Agent Deep Reinforcement Learning Framework. IEEE Trans. Knowl. Data Eng. 34 (5) (2022)
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR (2022)
Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu
Rethinking Graph Convolutional Networks in Knowledge Graph Completion. CoRR (2022)
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. IEEE Trans. Pattern Anal. Mach. Intell. 44 (2) (2022)
Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
In-Database Machine Learning with CorgiPile: Stochastic Gradient Descent without Full Data Shuffle. SIGMOD Conference (2022)
Guangtao Wang, Gao Cong, Ying Zhang, Zhen Hai, Jieping Ye
A Synopsis Based Approach for Itemset Frequency Estimation over Massive Multi-Transaction Stream. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cédric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang
Stochastic Gradient Descent without Full Data Shuffle. CoRR (2022)
Zhengxia Zou, Tianyang Shi, Zhenwei Shi, Jieping Ye
Adversarial Training for Solving Inverse Problems in Image Processing. IEEE Trans. Image Process. 30 (2021)
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
Reinforcement Learning for Ridesharing: A Survey. ITSC (2021)
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
Offline Model-based Adaptable Policy Learning. NeurIPS (2021)
Shuang Qiu, Jieping Ye, Zhaoran Wang, Zhuoran Yang
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game. ICML (2021)
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 (2021)
Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. Mach. Learn. 110 (9) (2021)
Jun Chen, Jieping Ye, Fengyi Tang, Jiayu Zhou
Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only. Interspeech (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD (2021)
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. ICASSP (2021)
Shuang Qiu, Zhuoran Yang, Jieping Ye, Zhaoran Wang
On Finite-Time Convergence of Actor-Critic Algorithm. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
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) (2021)
Zhengtian Xu, Zhibin Chen, Yafeng Yin, Jieping Ye
Equilibrium Analysis of Urban Traffic Networks with Ride-Sourcing Services. Transp. Sci. 55 (6) (2021)
Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems. KDD (2021)
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 (2021)
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. CoRR (2021)
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) (2021)
Zhiyuan Liu, Yang Liu, Cheng Lyu, Jieping Ye
Building Personalized Transportation Model for Online Taxi-Hailing Demand Prediction. IEEE Trans. Cybern. 51 (9) (2021)
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) (2021)
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
Reinforcement Learning for Ridesharing: A Survey. CoRR (2021)
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR (2021)
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani Srivastava, Michael I. Jordan, Victor Bahl
The 4th Artificial Intelligence of Things (AIoT) Workshop. KDD (2021)

Jieping Ye.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jieping Ye