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ORCIDChang Xu 0008
Person information
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation (former): Nankai University, College of Computer and Control Engineering, Tianjin, China
Other persons with the same name
- Chang Xu — disambiguation page
- Chang Xu 0001
![[0000-0002-6299-4704]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6299-4704")
— Nanjing University, Department of Computer Science and Technology / State Key Laboratory for Novel Software Technology, China (and 1 more) - Chang Xu 0002 (aka: Charles Xu 0002) — University of Sydney, School of Information Technologies, UBTECH Sydney Artificial Intelligence Centre, NSW, Australia (and 1 more)
- Chang Xu 0003 — Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Chang Xu 0004 — Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Chang Xu 0005 — IBM China Research Labs (and 1 more)
- Chang Xu 0006 — Purdue University
- Chang Xu 0007 — Chinese Academy of Sciences, Shanghai Institute of Microsystem and Information Technology, China
- Chang Xu 0009 — QIAGEN, Frederick , MD, USA (and 1 more)
- Chang Xu 0010 — Zhejiang University of Water Resources and Electric Power, School of Geomatics and Municipal Engineering, Hangzhou, China (and 1 more)
- Chang Xu 0011 — Chinese Academy of Sciences, Changchun Institute of Optics, Fine Mechanics and Physics, China
- Chang Xu 0012 — University of Virginia, School of Engineering and Applied Science, Charlottesville, VA, USA
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2020 – today
- 2025
[i13]Yu-Hao Huang, Chang Xu, Yueying Wu, Wu-Jun Li, Jiang Bian:
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts. CoRR abs/2501.05403 (2025)- 2024
- [j3]Yijun Wang, Zekun Guo, Chang Xu, Jianxin Lin:
A multimodal stepwise-coordinating framework for pedestrian trajectory prediction. Knowl. Based Syst. 299: 112038 (2024) - [j2]Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu:
Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction. IEEE Trans. Knowl. Data Eng. 36(12): 7973-7985 (2024) - [c12]Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian:
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. ICLR 2024 - [i12]Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian:
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process. CoRR abs/2403.05751 (2024) - [i11]Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian:
Controllable Financial Market Generation with Diffusion Guided Meta Agent. CoRR abs/2408.12991 (2024) - [i10]Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian:
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model. CoRR abs/2409.07486 (2024) - [i9]Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian:
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models. CoRR abs/2412.08480 (2024) - [i8]Huanyu Zhang, Chang Xu, Yifan Zhang, Zhang Zhang, Liang Wang, Jiang Bian, Tieniu Tan:
TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting. CoRR abs/2412.20810 (2024) - 2023
- [i7]Tianlang He, Keyan Lu, Chang Xu, Yang Liu, Weiqing Liu, S.-H. Gary Chan, Jiang Bian:
Efficient Behavior-consistent Calibration for Multi-agent Market Simulation. CoRR abs/2307.12987 (2023) - [i6]Xianfeng Jiao, Zizhong Li, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian:
Microstructure-Empowered Stock Factor Extraction and Utilization. CoRR abs/2308.08135 (2023) - 2022
- [c11]Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian:
Learning Differential Operators for Interpretable Time Series Modeling. KDD 2022: 1192-1201 - [c10]Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian:
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. WWW 2022: 112-121 - [i5]Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian:
Learning Differential Operators for Interpretable Time Series Modeling. CoRR abs/2209.01491 (2022) - 2021
- [c9]Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu:
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. CIKM 2021: 700-709 - [c8]Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. WWW 2021: 1-10 - [i4]Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu:
REST: Relational Event-driven Stock Trend Forecasting. CoRR abs/2102.07372 (2021)
2010 – 2019
- 2019
- [c7]Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu:
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks. AAAI 2019: 5525-5532 - [c6]Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu:
Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models. IJCAI 2019: 5320-5326 - 2018
- [i3]Chang Xu, Weiran Huang, Hongwei Wang, Gang Wang, Tie-Yan Liu:
Modeling Local Dependence in Natural Language with Multi-channel Recurrent Neural Networks. CoRR abs/1811.05121 (2018) - 2017
- [c5]Chang Xu, Tao Qin, Yalong Bai, Gang Wang, Tie-Yan Liu:
Convolutional neural networks for posed and spontaneous expression recognition. ICME 2017: 769-774 - [i2]Chang Xu, Tao Qin, Gang Wang, Tie-Yan Liu:
Reinforcement Learning for Learning Rate Control. CoRR abs/1705.11159 (2017) - 2016
- [j1]Chang Xu, Gang Wang, Xiaoguang Liu, Dongdong Guo, Tie-Yan Liu:
Health Status Assessment and Failure Prediction for Hard Drives with Recurrent Neural Networks. IEEE Trans. Computers 65(11): 3502-3508 (2016) - 2015
- [c4]Yalong Bai, Kuiyuan Yang, Wei Yu, Chang Xu, Wei-Ying Ma, Tiejun Zhao:
Automatic Image Dataset Construction from Click-through Logs Using Deep Neural Network. ACM Multimedia 2015: 441-450 - 2014
- [c3]Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu:
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. AAAI 2014: 1369-1375 - [c2]Chang Xu, Yalong Bai, Jiang Bian, Bin Gao, Gang Wang, Xiaoguang Liu, Tie-Yan Liu:
RC-NET: A General Framework for Incorporating Knowledge into Word Representations. CIKM 2014: 1219-1228 - [c1]Yalong Bai, Wei Yu, Tianjun Xiao, Chang Xu, Kuiyuan Yang, Wei-Ying Ma, Tiejun Zhao:
Bag-of-Words Based Deep Neural Network for Image Retrieval. ACM Multimedia 2014: 229-232 - [i1]Yuyu Zhang, Hanjun Dai, Chang Xu, Jun Feng, Taifeng Wang, Jiang Bian, Bin Wang, Tie-Yan Liu:
Sequential Click Prediction for Sponsored Search with Recurrent Neural Networks. CoRR abs/1404.5772 (2014)
Coauthor Index
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