Xiao Yang

Senior Researcher

출판물

자료 보기:

- R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
  
  Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
  
  Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
  
  2024 Neural Information Processing Systems | October 2024
  
  Preprint Publication
- RD2Bench: Toward Data-Centric Automatic R&D
  
  Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
  
  April 2024
  
  DOI Publication Publication 동영상
- Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
  
  Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
  
  October 2023
  
  DOI Publication Publication 동영상
- DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
  
  Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
  
  AAAI 2022 | January 2022
  
  Publication Github
- A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies
  
  Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
  
  2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
  
  Publication 프로젝트
- Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction
  
  Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
  
  2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
  
  Publication 프로젝트

- R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
  
  Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
  
  Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
  
  2024 Neural Information Processing Systems | October 2024
  
  Preprint Publication
- RD2Bench: Toward Data-Centric Automatic R&D
  
  Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
  
  April 2024
  
  DOI Publication Publication 동영상
- Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
  
  Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
  
  October 2023
  
  DOI Publication Publication 동영상
- DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
  
  Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
  
  AAAI 2022 | January 2022
  
  Publication Github
- Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction
  
  Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
  
  2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
  
  Publication 프로젝트
- A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies
  
  Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
  
  2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
  
  Publication 프로젝트
- R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
  
  Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- RD2Bench: Toward Data-Centric Automatic R&D
  
  Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
  
  April 2024
  
  DOI Publication Publication 동영상
- Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
  
  Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
  
  October 2023
  
  DOI Publication Publication 동영상

- R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization
  
  Yuante Li, Xu Yang, Xiao Yang, Minrui Xu, Xisen Wang, Weiqing Liu, Jiang Bian
  
  NeurIPS 2025 | May 2025
  
  DOI Publication Publication
- BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning
  
  Xiao Yang, Xu Yang, Weiqing Liu, Lewen Wang, Jiang Bian
  
  2024 Neural Information Processing Systems | October 2024
  
  Preprint Publication
- DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation
  
  Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian
  
  AAAI 2022 | January 2022
  
  Publication Github
- Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction
  
  Lewen Wang, Weiqing Liu, Xiao Yang, Jiang Bian
  
  2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
  
  Publication 프로젝트
- A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies
  
  Xiao Yang, Weiqing Liu, Lewen Wang, Cheng Qu, Jiang Bian
  
  2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP) | November 2019
  
  Publication 프로젝트
- RD2Bench: Toward Data-Centric Automatic R&D
  
  Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian
  
  April 2024
  
  DOI Publication Publication 동영상
- Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
  
  Xu Yang, Xiao Yang, Weiqing Liu, Jinhui Li, Peng Yu, Zeqi Ye, Jiang Bian
  
  October 2023
  
  DOI Publication Publication 동영상

Xiao Yang

출판물

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning

RD2Bench: Toward Data-Centric Automatic R&D

Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies

Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning

RD2Bench: Toward Data-Centric Automatic R&D

Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction

A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

RD2Bench: Toward Data-Centric Automatic R&D

Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle

R&D-Agent-Quant: A Multi-Agent Framework for Data-Centric Factors and Model Joint Optimization

BPQP: A Differentiable Convex Optimization Framework for Efficient End-to-End Learning

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

Conservative or Aggressive? Confidence-Aware Dynamic Portfolio Construction

A Divide-and-Conquer Framework for Attention-based Combination of Multiple Investment Strategies

RD2Bench: Toward Data-Centric Automatic R&D

Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle