Guohao Li

According to our database, Guohao Li authored at least 43 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.

Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Quality-aware face alignment using high-resolution spatial dependencies.

Jinyan Ma, Xuefei Li, Jing Li, Jun Wan, Tong Liu, Guohao Li

Multim. Tools Appl., April, 2024

Can Large Language Model Agents Simulate Human Trust Behaviors?

Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip H. S. Torr, Bernard Ghanem, Guohao Li

CoRR, 2024

2023

DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions.

Guohao Li, Chenxin Xiong, Guocheng Qian, Ali K. Thabet, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Knowledge-Aware Global Reasoning for Situation Recognition.

Weijiang Yu, Haofan Wang, Guohao Li, Nong Xiao, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

DeepGCNs: Making GCNs Go as Deep as CNNs.

Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.

Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang

CoRR, 2023

Mindstorms in Natural Language-Based Societies of Mind.

Mingchen Zhuge, Haozhe Liu, Francesco Faccio, Dylan R. Ashley, Róbert Csordás, Anand Gopalakrishnan, Abdullah Hamdi, Hasan Abed Al Kader Hammoud, Vincent Herrmann, Kazuki Irie, Louis Kirsch, Bing Li, Guohao Li, Shuming Liu, Jinjie Mai, Piotr Piekos, Aditya Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber

CoRR, 2023

CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society.

Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem

CoRR, 2023

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers.

Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Domain Generalized Graph Meta Learning.

Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

CoRR, 2022

UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance.

Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu

CoRR, 2022

UnrealNAS: Can We Search Neural Architectures with Unreal Data?

Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang

CoRR, 2022

Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels.

Bing Li, Cheng Zheng, Guohao Li, Bernard Ghanem

CoRR, 2022

DNS Attack Detection Based on Multi-Dimensional Fusion Model.

Yasheng Zhou, Li Yang, Zhixin Wang, Guohao Li, Xuemei Ning

Proceedings of the International Conference on Networking and Network Applications, 2022

CLOP: Video-and-Language Pre-Training with Knowledge Regularizations.

Guohao Li, Hu Yang, Feng He, Zhifan Feng, Yajuan Lyu, Hua Wu, Haifeng Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search.

Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Robust Optimization as Data Augmentation for Large-scale Graphs.

Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks.

Guohao Li, Mengmeng Xu, Silvio Giancola, Ali K. Thabet, Bernard Ghanem

Proceedings of the International Conference on 3D Vision, 2022

2021

A CLIP-Enhanced Method for Video-Language Understanding.

Guohao Li, Feng He, Zhifan Feng

CoRR, 2021

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning.

Guocheng Qian, Hasan Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Training Graph Neural Networks with 1000 Layers.

Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun

Proceedings of the 38th International Conference on Machine Learning, 2021

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks.

Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Nonlinearity model identification for main steam valves based on steady-state data.

Zhiyuan Zhang, Jiandong Wang, Guohao Li, Xiaotong Jia

Proceedings of the CAA Symposium on Fault Detection, 2021

Variable time delay estimation between time series based on significant change points.

Guohao Li, Jiandong Wang, Yan Xiao, Zhiyuan Zhang

Proceedings of the CAA Symposium on Fault Detection, 2021

2020

FLAG: Adversarial Data Augmentation for Graph Neural Networks.

Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein

CoRR, 2020

DeeperGCN: All You Need to Train Deeper GCNs.

Guohao Li, Chenxin Xiong, Ali K. Thabet, Bernard Ghanem

CoRR, 2020

Ordinal distribution regression for gait-based age estimation.

Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan

Sci. China Inf. Sci., 2020

Research on Logistics Service Supply Chain Information Sharing Mechanism in the Belt and Road Initiative.

Guohao Li, Qi Zhang, Zhengyu Bai, Pervaiz Sabeeh

IEEE Access, 2020

Boosting Visual Question Answering with Context-aware Knowledge Aggregation.

Guohao Li, Xin Wang, Wenwu Zhu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Commonsense Learning: An Indispensable Path towards Human-centric Multimedia.

Bin Huang, Siao Tang, Guangyao Shen, Guohao Li, Xin Wang, Wenwu Zhu

Proceedings of the HuMA'20: Proceedings of the 1st International Workshop on Human-centric Multimedia Analysis, 2020

SGAS: Sequential Greedy Architecture Search.

Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Can GCNs Go as Deep as CNNs?

Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem

CoRR, 2019

OIL: Observational Imitation Learning.

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem

Proceedings of the Robotics: Science and Systems XV, 2019

Perceptual Visual Reasoning with Knowledge Propagation.

Guohao Li, Xin Wang, Wenwu Zhu

Proceedings of the 27th ACM International Conference on Multimedia, 2019

DeepGCNs: Can GCNs Go As Deep As CNNs?

Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing.

Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Teaching UAVs to Race With Observational Imitation Learning.

Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem

CoRR, 2018

Underground Intelligent Logistic System Integrated with Internet of Things.

Qiang Yang, Guohao Li, Ting Cai, Qiang Wang

Proceedings of the Internet and Distributed Computing Systems, 2018

An SDN-Based Wireless Authentication and Access Control Security Solution.

Yanyan Han, Guohao Li, Binbin Feng

Proceedings of the Frontiers in Cyber Security - First International Conference, 2018

2017

Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks.

Guohao Li, Hang Su, Wenwu Zhu

CoRR, 2017