Jieping Ye

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 299

Top Venues

Publications

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)
Chao Chen, Zhihang Fu, Kai Liu, Ze Chen, Mingyuan Tao, Jieping Ye
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection. 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)
Jie Zhang, Jianfeng Wu, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
Multi-Resemblance Multi-Target Low-Rank Coding for Prediction of Cognitive Decline With Longitudinal Brain Images. IEEE Trans. Medical Imaging 40 (8) (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. CoRR (2021)
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 (2021)
Bingyu Liu, Yuhong Guo, Jieping Ye, Weihong Deng
Selective Pseudo-Labeling with Reinforcement Learning for Semi-Supervised Domain Adaptation. BMVC (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. CoRR (2021)
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Jieping Ye, Hongtu Zhu
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. ICDM (2021)
Shuang Qiu, Xiaohan Wei, Jieping Ye, Zhaoran Wang, Zhuoran Yang
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions. ICML (2021)
Jianan Jiang, Zhenpeng Li, Yuhong Guo, Jieping Ye
A Transductive Multi-Head Model for Cross-Domain Few-Shot Learning. CoRR (2020)
Yucheng Lin, Huiting Hong, Xiaoqing Yang, Pinghua Gong, Zang Li, Jieping Ye
AHINE: Adaptive Heterogeneous Information Network Embedding. ICKG (2020)
Xiehe Huang, Weihong Deng, Haifeng Shen, Xiubao Zhang, Jieping Ye
PropagationNet: Propagate Points to Curve to Learn Structure Information. CoRR (2020)
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
Fusion Recurrent Neural Network. CoRR (2020)
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)
Jie Gui, Zhenan Sun, Yonggang Wen, Dacheng Tao, Jieping Ye
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications. CoRR (2020)
Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
Road Network Metric Learning for Estimated Time of Arrival. CoRR (2020)
Bo Long, Jieping Ye, Zang Li, Huiji Gao, Sandeep Kumar Jha
Deep Natural Language Processing for Search and Recommendation. SIGIR (2020)
Shuang Qiu, Zhuoran Yang, Xiaohan Wei, Jieping Ye, Zhaoran Wang
Single-Timescale Stochastic Nonconvex-Concave Optimization for Smooth Nonlinear TD Learning. CoRR (2020)
Huiting Hong, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, Jieping Ye
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning. AAAI (2020)
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 (2020)
Zhenpeng Li, Jianan Jiang, Yuhong Guo, Tiantian Tang, Chengxiang Zhuo, Jieping Ye
Domain Adaptation with Incomplete Target Domains. CoRR (2020)
Zhenpeng Li, Zhen Zhao, Yuhong Guo, Haifeng Shen, Jieping Ye
Mutual Learning Network for Multi-Source Domain Adaptation. CoRR (2020)
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 (2020)
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 (2020)
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)
Tanfang Chen, Weiwei Wang, Wenyang Wei, Xing Shi, Xiangang Li, Jieping Ye, Kevin Knight
DiDi's Machine Translation System for WMT2020. WMT@EMNLP (2020)
Yiwen Sun, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
Road Network Metric Learning for Estimated Time of Arrival. ICPR (2020)
Chao Xiong, Che Liu, Zijun Xu, Junfeng Jiang, Jieping Ye
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR (2020)
Yiwen Sun, Yulu Wang, Kun Fu, Zheng Wang, Changshui Zhang, Jieping Ye
Constructing Geographic and Long-term Temporal Graph for Traffic Forecasting. CoRR (2020)
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) (2020)
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 (2020)
Yuan Zhao, Lyuwei Wang, Luanxuan Hou, Chunsheng Gan, Zhipeng Huang, Xu Hu, Haifeng Shen, Jieping Ye
Place Solution to Pair Competition. ICME Workshops (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jieping Ye