Loading [MathJax]/extensions/MathMenu.js

Lei Zhang - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Access provided by:

MIT Libraries

Access provided by:

MIT Libraries

ADVANCED SEARCH

Author details

Lei Zhang

Also published under: L. Zhang

Publications

22

Citations

282

Publications by Year

20122021

Co-Authors:

Zhenxu BaiDanping ChenXiaolong ChenZhenhua CongS. Cui

Show All Co-Authors (70)

Lei Zhang

Also published under: L. Zhang

Affiliation

Key Laboratory of Materials for High Power Laser

Shanghai Institute of Optics and Fine Mechanics

Chinese Academy of Sciences, Shanghai, China

Publication Topics

Pump Power,
Raman Laser,
Conversion Efficiency,
Fiber Laser,
Lasing Threshold,
Pump Source,
Second Harmonic Generation,
Slope Efficiency,
Alexandrite Laser,
Alkaline Earth,
Amplified Spontaneous Emission,
Beam Quality

Biography

Authors’ biographies not available at the time of publication.(Based on document published on 10 August 2016).

Publications

22

Citations

282

Publications by Year

20122021

Co-Authors:

Zhenxu Bai
Danping Chen
Xiaolong Chen
Zhenhua Cong
S. Cui

Show All Co-Authors (70)

Author's Published Works

Search History

Showing 1-6 of 6 results

Conferences (6)

Sort

Filter Results

Show

Subscribed Content

Open Access Only

Range
Single Year
Jiachen Liu(6)
Sharon X. Huang(2)
Xin Xia(1)
Huan Wang(1)
Hailian Zhou(1)
College of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA(2)
Bytedance Inc., Beijing, China(1)
Ant Group, China(1)
The Pennsylvania State University, University Park, PA, USA(1)
The Pennsylvania State University(1)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)(1)
2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)(1)
2024 IEEE International Conference on Robotics and Automation (ICRA)(1)
2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)(1)
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)(1)
IEEE(6)
Media(1)
Abu Dhabi, United Arab Emirates(1)
Lisbon, Portugal(1)
New Orleans, LA, USA(1)
Sacramento, CA, USA(1)
Waikoloa, HI, USA(1)
Camera Pose(3)
3D Geometry(2)
3D Plane(2)
3D Reconstruction(2)
Code Generation(2)

Select All on Page

Sort By

Results

MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction

Wang Zhao;Jiachen Liu;Sheng Zhang;Yishu Li;Sili Chen;Sharon X Huang;Yong-Jin Liu;Hengkai Guo

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

HTML

This paper presents a generalizable 3D plane detection and reconstruction framework named MonoPlane. Unlike previous robust estimator-based works (which require multiple images or RGB-D input) and learning-based works (which suffer from domain shift), MonoPlane combines the best of two worlds and establishes a plane reconstruction pipeline based on monocular geometric cues, resulting in accurate, ...Show More

MonoPlane: Exploiting Monocular Geometric Cues for Generalizable 3D Plane Reconstruction

Wang Zhao;Jiachen Liu;Sheng Zhang;Yishu Li;Sili Chen;Sharon X Huang;Yong-Jin Liu;Hengkai Guo

2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Year: 2024 | Conference Paper |

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code

Jia Feng;Jiachen Liu;Cuiyun Gao;Chun Yong Chong;Chaozheng Wang;Shan Gao;Xin Xia

2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Year: 2024 | Conference Paper |

HTML

In recent years, with the widespread attention of academia and industry on the application of large language models (LLMs) to code-related tasks, an increasing number of large code models (LCMs) have been proposed and corresponding evaluation benchmarks have continually emerged. Although existing evaluation benchmarks are helpful for comparing different LCMs, they may not reflect the performance o...Show More

ComplexCodeEval: A Benchmark for Evaluating Large Code Models on More Complex Code

Jia Feng;Jiachen Liu;Cuiyun Gao;Chun Yong Chong;Chaozheng Wang;Shan Gao;Xin Xia

2024 39th IEEE/ACM International Conference on Automated Software Engineering (ASE)

Year: 2024 | Conference Paper |

NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation

Rui Yu;Jiachen Liu;Zihan Zhou;Sharon X. Huang

2024 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2024 | Conference Paper |

HTML

In various applications, such as robotic navigation and remote visual assistance, expanding the field of view (FOV) of the camera proves beneficial for enhancing environmental perception. Unlike image outpainting techniques aimed solely at generating aesthetically pleasing visuals, these applications demand an extended view that faithfully represents the scene. To achieve this, we formulate a new ...Show More

NeRF-Enhanced Outpainting for Faithful Field-of-View Extrapolation

Rui Yu;Jiachen Liu;Zihan Zhou;Sharon X. Huang

2024 IEEE International Conference on Robotics and Automation (ICRA)

Year: 2024 | Conference Paper |

CodeFuse-13B: A Pretrained Multi-Lingual Code Large Language Model

Peng Di;Jianguo Li;Hang Yu;Wei Jiang;Wenting Cai;Yang Cao;Chaoyu Chen;Dajun Chen;Hongwei Chen;Liang Chen;Gang Fan;Jie Gong;Zi Gong;Wen Hu;Tingting Guo;Zhichao Lei;Ting Li;Zheng Li;Ming Liang;Cong Liao;Bingchang Liu;Jiachen Liu;Zhiwei Liu;Shaojun Lu;Min Shen;Guangpei Wang;Huan Wang;Zhi Wang;Zhaogui Xu;Jiawei Yang;Qing Ye;Gehao Zhang;Yu Zhang;Zelin Zhao;Xunjin Zheng;Hailian Zhou;Lifu Zhu;Xianying Zhu

2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Year: 2024 | Conference Paper |

HTML

Code Large Language Models (Code LLMs) have gained significant attention in the industry due to their wide applications in the full lifecycle of software engineering. However, the effectivness of existing models in understanding non-English inputs for multi-lingual code-related tasks is still far from well studied. This paper introduces CODEFuSE-13B, an open-sourced pre-trained code LLM 2. It is s...Show More

CodeFuse-13B: A Pretrained Multi-Lingual Code Large Language Model

Peng Di;Jianguo Li;Hang Yu;Wei Jiang;Wenting Cai;Yang Cao;Chaoyu Chen;Dajun Chen;Hongwei Chen;Liang Chen;Gang Fan;Jie Gong;Zi Gong;Wen Hu;Tingting Guo;Zhichao Lei;Ting Li;Zheng Li;Ming Liang;Cong Liao;Bingchang Liu;Jiachen Liu;Zhiwei Liu;Shaojun Lu;Min Shen;Guangpei Wang;Huan Wang;Zhi Wang;Zhaogui Xu;Jiawei Yang;Qing Ye;Gehao Zhang;Yu Zhang;Zelin Zhao;Xunjin Zheng;Hailian Zhou;Lifu Zhu;Xianying Zhu

2024 IEEE/ACM 46th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)

Year: 2024 | Conference Paper |

3D-Aware Talking-Head Video Motion Transfer

Haomiao Ni;Jiachen Liu;Yuan Xue;Sharon X. Huang

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Year: 2024 | Conference Paper |

Cited by: Papers (1)

HTML

Motion transfer of talking-head videos involves generating a new video with the appearance of a subject video and the motion pattern of a driving video. Current methodologies primarily depend on a limited number of subject images and 2D representations, thereby neglecting to fully utilize the multi-view appearance features inherent in the subject video. In this paper, we propose a novel 3D-aware t...Show More

3D-Aware Talking-Head Video Motion Transfer

Haomiao Ni;Jiachen Liu;Yuan Xue;Sharon X. Huang

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

Year: 2024 | Conference Paper |

PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

Jiachen Liu;Pan Ji;Nitin Bansal;Changjiang Cai;Qingan Yan;Xiaolei Huang;Yi Xu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2022 | Conference Paper |

Cited by: Papers (32)

HTML

We present a novel framework named PlaneMVS for 3D plane reconstruction from multiple input views with known camera poses. Most previous learning-based plane reconstruction methods reconstruct 3D planes from single images, which highly rely on single-view regression and suffer from depth scale ambiguity. In contrast, we reconstruct 3D planes with a multi-view-stereo (MVS) pipeline that takes advan...Show More

PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo

Jiachen Liu;Pan Ji;Nitin Bansal;Changjiang Cai;Qingan Yan;Xiaolei Huang;Yi Xu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Year: 2022 | Conference Paper |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.