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ORCIDYushan Jiang
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Journal Articles
- 2024
[j9]Shichao Wu
, Yongru Wang, Yushan Jiang, Qianyi Zhang, Jingtai Liu:
CRATI: Contrastive representation-based multimodal sound event localization and detection. Knowl. Based Syst. 305: 112692 (2024)- [j8]Xinping Chen, Jinyang Cheng, Ziyun Zhou, Xinyu Lu, Binghui Ye, Yushan Jiang:
Real-Time Control of Sintering Moisture Based on Temporal Fusion Transformers. Symmetry 16(6): 636 (2024) - 2022
- [j7]Yushan Jiang, Shuteng Niu, Kai Zhang, Bowen Chen, Chengtao Xu, Dahai Liu, Houbing Song:
Spatial-Temporal Graph Data Mining for IoT-Enabled Air Mobility Prediction. IEEE Internet Things J. 9(12): 9232-9240 (2022) - [j6]Shuteng Niu, Yushan Jiang, Bowen Chen, Jian Wang, Yongxin Liu, Houbing Song:
Cross-Modality Transfer Learning for Image-Text Information Management. ACM Trans. Manag. Inf. Syst. 13(1): 5:1-5:14 (2022) - 2020
- [j5]Zhiqiang Hu, Yuan Hu, Yushan Jiang, Zhen Peng:
Pricing Constraint and the Complexity of IPO Timing in the Stock Market: A Dynamic Game Analysis. Entropy 22(5): 546 (2020) - [j4]Yushan Jiang, Ning Yang, Qingqi Yao, Zhaoxia Wu, Wei Jin:
Real-time moisture control in sintering process using offline-online NARX neural networks. Neurocomputing 396: 209-215 (2020) - 2019
- [j3]Yushan Jiang, Chao Liu, Qingling Zhang, Tieyu Zhao:
Two side observer design for singular distributed parameter systems. Syst. Control. Lett. 124: 112-120 (2019) - [j2]Yushan Jiang, Dong Wang, Pak Kwong Chan:
A Quiescent 407-nA Output-Capacitorless Low-Dropout Regulator With 0-100-mA Load Current Range. IEEE Trans. Very Large Scale Integr. Syst. 27(5): 1093-1104 (2019) - 2017
- [j1]Ping Chen, Bo Li, Yushan Jiang, Pengwen Hou:
The Impact of Manufacturer's Direct Sales and Cost Information Asymmetry in a Dual-Channel Supply Chain with a Risk-Averse Retailer. Int. J. Electron. Commer. 21(1): 47-70 (2017)
Conference and Workshop Papers
- 2024
- [c17]Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. ICML 2024 - [c16]Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Empowering Time Series Analysis with Large Language Models: A Survey. IJCAI 2024: 8095-8103 - [c15]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. KDD 2024: 6555-6565 - [c14]Beibei Gao, Yangsen Zhang, Ga Xiang, Yushan Jiang:
DLM: A Decoupled Learning Model for Long-tailed Polyphone Disambiguation in Mandarin. NAACL-HLT 2024: 5252-5262 - 2023
- [c13]Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen:
Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. CISS 2023: 1-6 - [c12]Xiandong Cheng, Hao He, Yushan Jiang:
Analysis of User Participatory Design and Gamification in Modern Media. HCI (20) 2023: 78-93 - [c11]Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen:
FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. KDD 2023: 1010-1019 - [c10]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - 2022
- [c9]Xiandong Cheng, Qian Cao, Yushan Jiang:
Exploration of Pixel Digital Visual Design. HCI (22) 2022: 291-299 - [c8]Yushan Jiang, Bin Zhou, Xuechen Zhao, Jiaying Zou, Feng Xie, Liang Li:
Domain-adaptive Graph based on Post-hoc Explanation for Cross-domain Hate Speech Detection. ICTAI 2022: 1271-1276 - 2021
- [c7]Chengtao Xu, Fengyu He, Bowen Chen, Yushan Jiang, Houbing Song:
Adaptive RF Fingerprint Decomposition in Micro UAV Detection based on Machine Learning. ICASSP 2021: 7968-7972 - [c6]Harry Romesburg, Jian Wang, Yushan Jiang, Huihui Wang, Houbing Song:
Software Defined Radio based Security Analysis For Unmanned Aircraft Systems. IPCCC 2021: 1-5 - [c5]Zachary Tauscher, Yushan Jiang, Kai Zhang, Jian Wang, Houbing Song:
Learning to Detect: A Data-driven Approach for Network Intrusion Detection. IPCCC 2021: 1-6 - [c4]Kai Zhang, Yushan Jiang, Lee Seversky, Chengtao Xu, Dahai Liu, Houbing Song:
Federated Variational Learning for Anomaly Detection in Multivariate Time Series. IPCCC 2021: 1-9 - 2020
- [c3]Yushan Jiang, Yongxin Liu, Dahai Liu, Houbing Song:
Applying Machine Learning to Aviation Big Data for Flight Delay Prediction. DASC/PiCom/CBDCom/CyberSciTech 2020: 665-672 - [c2]Kai Zhang, Yushan Jiang, Dahai Liu, Houbing Song:
Spatio-Temporal Data Mining for Aviation Delay Prediction. IPCCC 2020: 1-7 - 2011
- [c1]Yushan Jiang, Qingling Zhang, Sensen Bai, Zhanqun Lun, Shouming Guo:
Some Repeater Coordination Model Based on Density Dilution Algorithm. ISCID (1) 2011: 30-31
Informal and Other Publications
- 2024
- [i8]Yushan Jiang, Zijie Pan, Xikun Zhang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
Empowering Time Series Analysis with Large Language Models: A Survey. CoRR abs/2402.03182 (2024) - [i7]Zijie Pan, Yushan Jiang, Dongjin Song, Sahil Garg, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka:
Structural Knowledge Informed Continual Multivariate Time Series Forecasting. CoRR abs/2402.12722 (2024) - [i6]Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song:
S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting. CoRR abs/2403.05798 (2024) - [i5]Yuxuan Liang, Haomin Wen, Yuqi Nie, Yushan Jiang, Ming Jin, Dongjin Song, Shirui Pan, Qingsong Wen:
Foundation Models for Time Series Analysis: A Tutorial and Survey. CoRR abs/2403.14735 (2024) - [i4]Xikun Zhang, Dongjin Song, Yushan Jiang, Yixin Chen, Dacheng Tao:
Learning System Dynamics without Forgetting. CoRR abs/2407.00717 (2024) - 2021
- [i3]Kai Zhang, Yushan Jiang, Dahai Liu, Houbing Song:
Spatio-Temporal Data Mining for Aviation Delay Prediction. CoRR abs/2103.11221 (2021) - [i2]Zachary Tauscher, Yushan Jiang, Kai Zhang, Jian Wang, Houbing Song:
Learning to Detect: A Data-driven Approach for Network Intrusion Detection. CoRR abs/2108.08394 (2021) - [i1]Kai Zhang, Yushan Jiang, Lee Seversky, Chengtao Xu, Dahai Liu, Houbing Song:
Federated Variational Learning for Anomaly Detection in Multivariate Time Series. CoRR abs/2108.08404 (2021)
Coauthor Index
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