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Kun Yi
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2020 – today
- 2024
- [j6]Kong Yuntao
, Kun Yi
, Lijun Wang
, Cheng Peng
, Le Minh Nguyen, Qiang Ma
:
RPMTD: A Route Planning Model With Consideration of Tourists' Distribution. IEEE Access 12: 69488-69504 (2024) - [j5]Yuanyuan Yi, Kai Cui, Minghua Xu, Lingzhi Yi, Kun Yi, Xinlei Zhou, Shenghao Liu, Gefei Zhou:
A long-short dual-mode knowledge distillation framework for empirical asset pricing models in digital financial networks. Connect. Sci. 36(1) (2024) - [j4]Hui He
, Qi Zhang
, Shoujin Wang
, Kun Yi
, Zhendong Niu, Longbing Cao
:
Learning Informative Representation for Fairness-Aware Multivariate Time-Series Forecasting: A Group-Based Perspective. IEEE Trans. Knowl. Data Eng. 36(6): 2504-2516 (2024) - [j3]Kun Yi
, Qi Zhang
, Hui He
, Kaize Shi
, Liang Hu
, Ning An
, Zhendong Niu
:
Deep Coupling Network for Multivariate Time Series Forecasting. ACM Trans. Inf. Syst. 42(5): 127:1-127:28 (2024) - [c13]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024: 18426-18434 - [i21]Kun Yi, Qi Zhang, Hui He, Kaize Shi, Liang Hu, Ning An, Zhendong Niu:
Deep Coupling Network For Multivariate Time Series Forecasting. CoRR abs/2402.15134 (2024) - [i20]Zhuojia Wu, Qi Zhang, Duoqian Miao, Kun Yi, Wei Fan, Liang Hu:
HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis. CoRR abs/2404.11938 (2024) - [i19]Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao:
Wills Aligner: A Robust Multi-Subject Brain Representation Learner. CoRR abs/2404.13282 (2024) - [i18]Yuying Ge, Sijie Zhao, Jinguo Zhu, Yixiao Ge, Kun Yi, Lin Song, Chen Li, Xiaohan Ding, Ying Shan:
SEED-X: Multimodal Models with Unified Multi-granularity Comprehension and Generation. CoRR abs/2404.14396 (2024) - [i17]Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang:
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization. CoRR abs/2406.01460 (2024) - [i16]Wei Fan, Kun Yi, Hangting Ye, Zhiyuan Ning, Qi Zhang, Ning An:
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting. CoRR abs/2407.00502 (2024) - 2023
- [c12]Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang:
RILS: Masked Visual Reconstruction in Language Semantic Space. CVPR 2023: 23304-23314 - [c11]Xuanming Hu, Wei Fan, Kun Yi, Pengfei Wang, Yuanbo Xu, Yanjie Fu, Pengyang Wang:
Boosting Urban Prediction via Addressing Spatial-Temporal Distribution Shift. ICDM 2023: 160-169 - [c10]Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie:
Masked Image Modeling with Denoising Contrast. ICLR 2023 - [c9]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS 2023 - [c8]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023 - [i15]Shusheng Yang, Yixiao Ge, Kun Yi, Dian Li, Ying Shan, Xiaohu Qie, Xinggang Wang:
Masked Visual Reconstruction in Language Semantic Space. CoRR abs/2301.06958 (2023) - [i14]Hui He, Qi Zhang, Shoujin Wang, Kun Yi, Zhendong Niu, Longbing Cao:
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective. CoRR abs/2301.11535 (2023) - [i13]Kun Yi, Qi Zhang, Shoujin Wang, Hui He, Guodong Long, Zhendong Niu:
Neural Time Series Analysis with Fourier Transform: A Survey. CoRR abs/2302.02173 (2023) - [i12]Weixian Lei, Yixiao Ge, Jianfeng Zhang, Dylan Sun, Kun Yi, Ying Shan, Mike Zheng Shou:
ViT-Lens: Towards Omni-modal Representations. CoRR abs/2308.10185 (2023) - [i11]Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian
, Ning An, Longbing Cao, Zhendong Niu:
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023) - [i10]Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR abs/2311.06190 (2023) - [i9]Weixian Lei, Yixiao Ge, Kun Yi, Jianfeng Zhang, Difei Gao, Dylan Sun, Yuying Ge, Ying Shan, Mike Zheng Shou:
ViT-Lens-2: Gateway to Omni-modal Intelligence. CoRR abs/2311.16081 (2023) - [i8]An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR abs/2312.11023 (2023) - 2022
- [j2]Shuheng Zhang, Hanguo Zeng, Wei Ji, Kun Yi, Shuangfeng Yang, Peisheng Mao
, Zhanjun Wang, Hongqian Yu, Manli Li
:
Non-Destructive Testing of Alfalfa Seed Vigor Based on Multispectral Imaging Technology. Sensors 22(7): 2760 (2022) - [c7]Hui He
, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu:
CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting. AAAI 2022: 4030-4038 - [c6]Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan:
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. ECCV (30) 2022: 231-246 - [i7]Kun Yi, Guo-Hua Wang, Jianxin Wu:
PENCIL: Deep Learning with Noisy Labels. CoRR abs/2202.08436 (2022) - [i6]Xiaotong Li, Yixiao Ge, Kun Yi, Zixuan Hu, Ying Shan, Ling-Yu Duan:
mc-BEiT: Multi-choice Discretization for Image BERT Pre-training. CoRR abs/2203.15371 (2022) - [i5]Kun Yi, Yixiao Ge, Xiaotong Li, Shusheng Yang, Dian Li, Jianping Wu, Ying Shan, Xiaohu Qie:
Masked Image Modeling with Denoising Contrast. CoRR abs/2205.09616 (2022) - [i4]Hui He, Qi Zhang, Kun Yi, Kaize Shi, Zhendong Niu, Longbing Cao:
Distributional Drift Adaptation with Temporal Conditional Variational Autoencoder for Multivariate Time Series Forecasting. CoRR abs/2209.00654 (2022) - [i3]Kun Yi, Qi Zhang, Liang Hu, Hui He, Ning An, Longbing Cao, Zhendong Niu:
Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting. CoRR abs/2210.03093 (2022) - 2021
- [i2]Kun Yi, Ryu Yamagishi, Taishan Li, Zhengyang Bai, Qiang Ma:
Recommending POIs for Tourists by User Behavior Modeling and Pseudo-Rating. CoRR abs/2110.06523 (2021) - 2020
- [c5]Kun Yi, Yu Guo, Zhi Wang, Lifeng Sun, Wenwu Zhu:
Personalized Text Summarization Based on Gaze Patterns. MIPR 2020: 307-313 - [c4]Kun Yi, Yu Guo, Weifeng Jiang, Zhi Wang, Lifeng Sun:
A dataset for exploring gaze behaviors in text summarization. MMSys 2020: 243-248
2010 – 2019
- 2019
- [j1]Haitian Pang
, Zhi Wang
, Chen Yan, Qinghua Ding, Kun Yi, Jiangchuan Liu
, Lifeng Sun
:
Content Harvest Network: Optimizing First Mile for Crowdsourced Live Streaming. IEEE Trans. Circuits Syst. Video Technol. 29(7): 2112-2125 (2019) - [c3]Kun Yi, Jianxin Wu:
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels. CVPR 2019: 7017-7025 - [i1]Kun Yi, Jianxin Wu:
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels. CoRR abs/1903.07788 (2019) - 2017
- [c2]Ming Ma, Zhi Wang, Kun Yi, Jiangchuan Liu, Lifeng Sun:
Joint Request Balancing and Content Aggregation in Crowdsourced CDN. ICDCS 2017: 1178-1188 - [c1]Wen Hu, Jiahui Huang, Zhi Wang, Peng Wang, Kun Yi, Yonggang Wen, Kaiyan Chu, Lifeng Sun:
MUSA: Wi-Fi AP-assisted video prefetching via Tensor Learning. IWQoS 2017: 1-6
Coauthor Index
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last updated on 2024-08-16 18:29 CEST by the dblp team
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