Haohong Lin - 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

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Haohong Lin

Publications

6

Citations

77

Publications by Year

20222025

Co-Authors:

Mansur AriefYizhuo ChenRadu CorcodelWenhao DingDiana Gomez

Show All Co-Authors (19)

Haohong Lin

Affiliation

Department of Mechanical Engineering

Carnegie Mellon University

Pittsburgh, PA, USA

Publication Topics

Autonomous Vehicles,
Adversarial Attacks,
Deep Generative Models,
Generative Adversarial Networks,
Imitation Learning,
Inverse Reinforcement Learning,
Point Cloud,
Reward Function,
Scene Graph,
3D Object Detection,
Adversarial Examples,
Attention Map

Biography

Haohong Lin received the bachelor’s degree from Zhejiang University. He is currently pursuing the Ph.D. degree with Carnegie Mellon University (CMU), advised by Prof. Ding Zhao. He was motivated by the passion for connecting generalizable ML to real-world applications. His research interests include controllable content generation, causation-aided deep generative models, and autonomous driving.(Based on document published on 30 March 2023).

Publications

6

Citations

77

Publications by Year

20222025

Co-Authors:

Mansur Arief
Yizhuo Chen
Radu Corcodel
Wenhao Ding
Diana Gomez

Show All Co-Authors (19)

Author's Published Works

Search History

Showing 1-2 of 2 results

Conferences (2)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Junbo Qiao(2)
Weilin Jia(1)
Yun Zhang(1)
Zhao Zhang(1)
Yi-Shiuan Chou(1)
Communication Research Center, Harbin Institute of Technology, Harbin, China(1)
ETH Zürich, Switzerland(1)
University of Würzburg, Germany(1)
University of Pisa & University of Trento, Italy(1)
2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)(1)
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)(1)
IEEE(2)
Beijing, China(1)
Seattle, WA, USA(1)
Convolutional Layers(2)
Adam Optimizer(1)
Additive Noise(1)
Artificial Neural Network(1)
Automatic Recognition(1)

Select All on Page

Sort By

Results

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Cited by: Papers (23)

HTML

This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high-resolution images. The primary objective is to develop networks that optimize various aspects such ...Show More

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Year: 2024 | Conference Paper |

Modulated Recognition and Function Realization Based on Deep Learning

Junbo Qiao;Shuai Han;Zeyang Sun

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | Conference Paper |

HTML

With the development of technology, the communication is more busy and complex, and the types of interference increase, which is more important for the correct identification of the signals of the two parties in the communication, so the automatic modulation recognition technology (AMR) has been developed. Traditional automatic modulation recognition techniques are divided into two types: likeliho...Show More

Modulated Recognition and Function Realization Based on Deep Learning

Junbo Qiao;Shuai Han;Zeyang Sun

2023 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

Year: 2023 | 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.