Chang Xu

Senior Researcher

Publications

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UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

CVPR 2025 | December 2024

DOI Publication Publication

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

September 2024

DOI Publication Publication Github

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian

August 2024

DOI Publication Publication

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian

ICLR 2024 | March 2024

Publication
Learning Differential Operators for Interpretable Time Series Modeling

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

KDD 2022 | August 2022

Publication

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

WWW 2022 | April 2022

Publication
REST: Relational Event-driven Stock Trend Forecasting

Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu

2021 The Web Conference | April 2021

Publication Project

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

CIKM 221 | April 2021

Publication

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

CVPR 2025 | December 2024

DOI Publication Publication

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

September 2024

DOI Publication Publication Github

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian

August 2024

DOI Publication Publication

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian

ICLR 2024 | March 2024

Publication

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

CIKM 221 | April 2021

Publication

REST: Relational Event-driven Stock Trend Forecasting

Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu

2021 The Web Conference | April 2021

Publication Project
UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

CVPR 2025 | December 2024

DOI Publication Publication
UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

CVPR 2025 | December 2024

DOI Publication Publication
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

September 2024

DOI Publication Publication Github

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian

August 2024

DOI Publication Publication
Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

CIKM 221 | April 2021

Publication
Learning Differential Operators for Interpretable Time Series Modeling

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

KDD 2022 | August 2022

Publication
Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

WWW 2022 | April 2022

Publication

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo

CVPR 2025 | December 2024

DOI Publication Publication

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Xinyao Fan, Yueying Wu, Chang Xu, Yuhao Huang, Weiqing Liu, Jiang Bian

ICLR 2024 | March 2024

Publication

Learning Differential Operators for Interpretable Time Series Modeling

Yingtao Luo, Chang Xu, Yang Liu, Weiqing Liu, Shun Zheng, Jiang Bian

KDD 2022 | August 2022

Publication

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

WWW 2022 | April 2022

Publication

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian

CIKM 221 | April 2021

Publication

REST: Relational Event-driven Stock Trend Forecasting

Wentao Xu, Weiqing Liu, Chang Xu, Jiang Bian, Jian Yin, Tie-Yan Liu

2021 The Web Conference | April 2021

Publication Project
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Junjie Li, Yang Liu, Weiqing Liu, Shikai Fang, Lewen Wang, Chang Xu, Jiang Bian

September 2024

DOI Publication Publication Github

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian

August 2024

DOI Publication Publication

Chang Xu

Publications

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Controllable Financial Market Generation with Diffusion Guided Meta Agent

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Learning Differential Operators for Interpretable Time Series Modeling

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

REST: Relational Event-driven Stock Trend Forecasting

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Controllable Financial Market Generation with Diffusion Guided Meta Agent

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

REST: Relational Event-driven Stock Trend Forecasting

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

Learning Differential Operators for Interpretable Time Series Modeling

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Learning Differential Operators for Interpretable Time Series Modeling

Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction

Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion

REST: Relational Event-driven Stock Trend Forecasting

MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model

Controllable Financial Market Generation with Diffusion Guided Meta Agent

Contact Chang Xu

Microsoft Research Lab – Asia

Chang Xu

Publications

Publications by Year

2024

2022

2021

Publications by Research Area

Artificial intelligence

Computer vision

Human-computer interaction

Economics

Algorithms

Data platforms and analytics

Search and information retrieval

Publications by Type

Inproceedings (Conference)

Miscellaneous