Chang Xu

Chercheur senior

Papiers de Collaboration

Afficher par:

- TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
  
  Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
  
  ArXiv | April 2025, Vol abs/2504.17613
  
  DOI Publication Publication
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
  
  Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
  
  Yu-Hao Huang, Chang Xu, Yueying Wu, Jiang Bian
  
  January 2025
  
  January 2025
  
  Publication
- TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
  
  Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tien-Ping Tan, Jiang Bian
  
  ArXiv | December 2024, Vol abs/2412.20810
  
  DOI Publication Publication
- InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
  
  Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
  
  Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 | 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
- 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 Projet
- 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

- TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
  
  Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
  
  ArXiv | April 2025, Vol abs/2504.17613
  
  DOI Publication Publication
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
  
  Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
  
  ICML 2025 | March 2025
  
  DOI Publication Publication
- TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
  
  Yu-Hao Huang, Chang Xu, Yueying Wu, Jiang Bian
  
  January 2025
  
  January 2025
  
  Publication
- TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
  
  Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tien-Ping Tan, Jiang Bian
  
  ArXiv | December 2024, Vol abs/2412.20810
  
  DOI Publication Publication
- InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
  
  Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
  
  Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 | 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
- 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 Projet
- 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

- TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
  
  Bowen Deng, Chang Xu, Hao Li, Yuhao Huang, Min Hou, Jiang Bian
  
  ArXiv | April 2025, Vol abs/2504.17613
  
  DOI Publication Publication
- TimeRAF: Retrieval-Augmented Foundation model for Zero-shot Time Series Forecasting
  
  Huanyu Zhang, Chang Xu, Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tien-Ping Tan, Jiang Bian
  
  ArXiv | December 2024, Vol abs/2412.20810
  
  DOI Publication Publication
- InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
  
  Min Hou, Yueying Wu, Chang Xu, Yu-Hao Huang, Chenxi Bai, Le Wu, Jiang Bian
  
  Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 | December 2024
  
  DOI Publication Publication
- BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling
  
  Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Ren-He Jiang, R. Batista-Navarro, Goran Nenadic, Jiang Bian
  
  ICML 2025 | March 2025
  
  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
- 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 Projet
- TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
  
  Yu-Hao Huang, Chang Xu, Yueying Wu, Jiang Bian
  
  January 2025
  
  January 2025
  
  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