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Publication search results
found 91 matches
- 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): 2213-2223 (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 abs/2402.18476 (2024) - 2023
- Jieping Zhu, Lei Zhu, Wangpan Ding, Nanjiao Ying, Ping Xu, Jianhai Zhang:
An improved feature extraction method using low-rank representation for motor imagery classification. Biomed. Signal Process. Control. 80(Part): 104389 (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 - Junjie Liu, Junlong Liu, Rongxin Jiang, Xuesong Liu, Boxuan Gu, Yaowu Chen, Chen Shen, Jieping Ye:
Self-Learning Symmetric Multi-view Probabilistic Clustering. CoRR abs/2305.07307 (2023) - 2022
- Lei Zhu, Wangpan Ding, Jieping Zhu, Ping Xu, Yian Liu, Ming Yan, Jianhai Zhang:
Multisource Wasserstein Adaptation Coding Network for EEG emotion recognition. Biomed. Signal Process. Control. 76: 103687 (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): 2301-2312 (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: 4878-4879 - 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: 1286-1300 - 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 abs/2206.05830 (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 abs/2206.08181 (2022) - 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: 3985-3994 (2021) - Zhengtian Xu, Zhibin Chen, Yafeng Yin, Jieping Ye:
Equilibrium Analysis of Urban Traffic Networks with Ride-Sourcing Services. Transp. Sci. 55(6): 1260-1279 (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: 4183-4184 - Weimin Sun, Jieping Xu, Gang Yang:
Fine-Grained Generation for Zero-Shot Learning. MMM (1) 2021: 580-591 - 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 abs/2106.04493 (2021) - 2020
- Guoyong Zhang, Jianhua Gong, Yi Li, Jun Sun, Bingli Xu, Dong Zhang, Jieping Zhou, Ling Guo, Shen Shen, Bingxiao Yin:
An efficient flood dynamic visualization approach based on 3D printing and augmented reality. Int. J. Digit. Earth 13(11): 1302-1320 (2020) - Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye:
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. INFORMS J. Appl. Anal. 50(5): 272-286 (2020) - 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 - Peng Wang, Jiang Xu, Chunyi Liu, Hao Feng, Zang Li, Jieping Ye:
Masked-field Pre-training for User Intent Prediction. CIKM 2020: 2789-2796 - 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 - Yunzhe Sun, Gang Yang, Dayong Ding, Gangwei Cheng, Jieping Xu, Xirong Li:
A GAN-based Domain Adaptation Method for Glaucoma Diagnosis. IJCNN 2020: 1-8 - Zhiyuan Xu, Kun Wu, Zhengping Che, Jian Tang, Jieping Ye:
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control. NeurIPS 2020 - Haitao Zhang, Shu Ou, Hailan Wang, Jieping Xu:
Research on the Construction of Pathological Knowledge Management System Based on Web. WSSE 2020: 42-45 - 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) - 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) - 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) - 2019
- Xirong Li, Chaoxi Xu, Xiaoxu Wang, Weiyu Lan, Zhengxiong Jia, Gang Yang, Jieping Xu:
COCO-CN for Cross-Lingual Image Tagging, Captioning, and Retrieval. IEEE Trans. Multim. 21(9): 2347-2360 (2019) - 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 - 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
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