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Guohao Li
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2020 – today
- 2024
- [j12]Kumail Alhamoud, Yasir Ghunaim, Abdulelah S. Alshehri, Guohao Li, Bernard Ghanem, Fengqi You:
Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks. Comput. Chem. Eng. 183: 108622 (2024) - [j11]Guohao Li, Xuefei Li, Jing Li, Jia Chen, Xin Shen:
PTMB: An online satellite task scheduling framework based on pre-trained Markov decision process for multi-task scenario. Knowl. Based Syst. 284: 111339 (2024) - [j10]Jinyan Ma, Xuefei Li, Jing Li, Jun Wan, Tong Liu, Guohao Li:
Quality-aware face alignment using high-resolution spatial dependencies. Multim. Tools Appl. 83(14): 42165-42187 (2024) - [j9]Kun Wang, Yuxuan Liang, Xinglin Li, Guohao Li, Bernard Ghanem, Roger Zimmermann, Zhengyang Zhou, Huahui Yi, Yudong Zhang, Yang Wang:
Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3388-3405 (2024) - [j8]Guohao Li, Zhongda Tian:
A new method of network traffic prediction based on combination model. Peer Peer Netw. Appl. 17(3): 1075-1090 (2024) - [j7]Yu Zhang, Guohao Li, Huan Li, Changsheng Chen, Weizeng Shao, Yi Zhou, Deshuai Wang:
A Spatiotemporal Comparison and Assessment of Multisource Satellite Derived Sea Ice Thickness in the Arctic Thinner Ice Region. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8710-8723 (2024) - [j6]Jie Nie, Xin Wang, Runze Hou, Guohao Li, Hong Chen, Wenwu Zhu:
Dynamic Spatio-Temporal Graph Reasoning for VideoQA With Self-Supervised Event Recognition. IEEE Trans. Image Process. 33: 4145-4158 (2024) - [c25]Guohao Li, Hongyu Yang, Di Huang, Yunhong Wang:
3D Face Modeling via Weakly-Supervised Disentanglement Network Joint Identity-Consistency Prior. FG 2024: 1-10 - [c24]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Junfeng Fang, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. KDD 2024: 3152-3163 - [c23]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. KDD 2024: 3164-3175 - [i29]Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li:
Can Large Language Model Agents Simulate Human Trust Behaviors? CoRR abs/2402.04559 (2024) - [i28]Guohao Li, Hongyu Yang, Di Huang, Yunhong Wang:
3D Face Modeling via Weakly-supervised Disentanglement Network joint Identity-consistency Prior. CoRR abs/2404.16536 (2024) - [i27]Shilong Wang, Hao Wu, Yifan Duan, Guibin Zhang, Guohao Li, Yuxuan Liang, Shirui Pan, Kun Wang, Yang Wang:
All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. CoRR abs/2405.07892 (2024) - [i26]Kun Wang, Guibin Zhang, Xinnan Zhang, Junfeng Fang, Xun Wu, Guohao Li, Shirui Pan, Wei Huang, Yuxuan Liang:
The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. CoRR abs/2406.12539 (2024) - [i25]Tianqi Xu, Linyao Chen, Dai-Jie Wu, Yanjun Chen, Zecheng Zhang, Xiang Yao, Zhiqiang Xie, Yongchao Chen, Shilong Liu, Bochen Qian, Philip Torr, Bernard Ghanem, Guohao Li:
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. CoRR abs/2407.01511 (2024) - 2023
- [j5]Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Making GCNs Go as Deep as CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6923-6939 (2023) - [j4]Weijiang Yu, Haofan Wang, Guohao Li, Nong Xiao, Bernard Ghanem:
Knowledge-Aware Global Reasoning for Situation Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8621-8633 (2023) - [j3]Guohao Li, Chenxin Xiong, Guocheng Qian, Ali K. Thabet, Bernard Ghanem:
DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13024-13034 (2023) - [c22]Mingkai Lin, Wenzhong Li, Ding Li, Yizhou Chen, Guohao Li, Sanglu Lu:
Multi-Domain Generalized Graph Meta Learning. AAAI 2023: 4479-4487 - [c21]Guohao Li, Hasan Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem:
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society. NeurIPS 2023 - [c20]Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu:
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. Robotics: Science and Systems 2023 - [i24]Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, Bernard Ghanem:
CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society. CoRR abs/2303.17760 (2023) - [i23]Junting Chen, Guohao Li, Suryansh Kumar, Bernard Ghanem, Fisher Yu:
How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. CoRR abs/2305.16925 (2023) - [i22]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 A. Ramesh, Imanol Schlag, Weimin Shi, Aleksandar Stanic, Wenyi Wang, Yuhui Wang, Mengmeng Xu, Deng-Ping Fan, Bernard Ghanem, Jürgen Schmidhuber:
Mindstorms in Natural Language-Based Societies of Mind. CoRR abs/2305.17066 (2023) - [i21]Kun Wang, Guohao Li, Shilong Wang, Guibin Zhang, Kai Wang, Yang You, Xiaojiang Peng, Yuxuan Liang, Yang Wang:
The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. CoRR abs/2308.10051 (2023) - 2022
- [c19]Guohao Li, Mengmeng Xu, Silvio Giancola, Ali K. Thabet, Bernard Ghanem:
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks. 3DV 2022: 1-11 - [c18]Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein:
Robust Optimization as Data Augmentation for Large-scale Graphs. CVPR 2022: 60-69 - [c17]Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun:
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. CVPR Workshops 2022: 2781-2786 - [c16]Guohao Li, Hu Yang, Feng He, Zhifan Feng, Yajuan Lyu, Hua Wu, Haifeng Wang:
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations. ACM Multimedia 2022: 4584-4593 - [c15]Yasheng Zhou, Li Yang, Zhixin Wang, Guohao Li, Xuemei Ning:
DNS Attack Detection Based on Multi-Dimensional Fusion Model. NaNA 2022: 74-81 - [i20]Bing Li, Cheng Zheng, Guohao Li, Bernard Ghanem:
Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels. CoRR abs/2203.12655 (2022) - [i19]Guocheng Qian, Xuanyang Zhang, Guohao Li, Chen Zhao, Yukang Chen, Xiangyu Zhang, Bernard Ghanem, Jian Sun:
When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. CoRR abs/2204.04918 (2022) - [i18]Zhen Dong, Kaicheng Zhou, Guohao Li, Qiang Zhou, Mingfei Guo, Bernard Ghanem, Kurt Keutzer, Shanghang Zhang:
UnrealNAS: Can We Search Neural Architectures with Unreal Data? CoRR abs/2205.02162 (2022) - [i17]Wei Li, Xue Xu, Xinyan Xiao, Jiachen Liu, Hu Yang, Guohao Li, Zhanpeng Wang, Zhifan Feng, Qiaoqiao She, Yajuan Lyu, Hua Wu:
UPainting: Unified Text-to-Image Diffusion Generation with Cross-modal Guidance. CoRR abs/2210.16031 (2022) - [i16]Guohao Li, Hu Yang, Feng He, Zhifan Feng, Yajuan Lyu, Hua Wu, Haifeng Wang:
CLOP: Video-and-Language Pre-Training with Knowledge Regularizations. CoRR abs/2211.03314 (2022) - [i15]Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang:
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR abs/2211.11138 (2022) - 2021
- [c14]Guohao Li, Jiandong Wang, Yan Xiao, Zhiyuan Zhang:
Variable time delay estimation between time series based on significant change points. CAA SAFEPROCESS 2021: 1-4 - [c13]Zhiyuan Zhang, Jiandong Wang, Guohao Li, Xiaotong Jia:
Nonlinearity model identification for main steam valves based on steady-state data. CAA SAFEPROCESS 2021: 1-6 - [c12]Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem:
PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks. CVPR 2021: 11683-11692 - [c11]Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun:
Training Graph Neural Networks with 1000 Layers. ICML 2021: 6437-6449 - [c10]Guocheng Qian, Hasan Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem:
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. NeurIPS 2021: 28119-28130 - [i14]Guohao Li, Matthias Müller, Bernard Ghanem, Vladlen Koltun:
Training Graph Neural Networks with 1000 Layers. CoRR abs/2106.07476 (2021) - [i13]Guohao Li, Feng He, Zhifan Feng:
A CLIP-Enhanced Method for Video-Language Understanding. CoRR abs/2110.07137 (2021) - [i12]Guocheng Qian, Hasan Abed Al Kader Hammoud, Guohao Li, Ali K. Thabet, Bernard Ghanem:
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. CoRR abs/2110.10538 (2021) - 2020
- [j2]Guohao Li, Qi Zhang, Zhengyu Bai, Pervaiz Sabeeh:
Research on Logistics Service Supply Chain Information Sharing Mechanism in the Belt and Road Initiative. IEEE Access 8: 189684-189701 (2020) - [j1]Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan:
Ordinal distribution regression for gait-based age estimation. Sci. China Inf. Sci. 63(2): 120102 (2020) - [c9]Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. CVPR 2020: 1617-1627 - [c8]Bin Huang, Siao Tang, Guangyao Shen, Guohao Li, Xin Wang, Wenwu Zhu:
Commonsense Learning: An Indispensable Path towards Human-centric Multimedia. HUMA @ ACM Multimedia 2020: 91-100 - [c7]Guohao Li, Xin Wang, Wenwu Zhu:
Boosting Visual Question Answering with Context-aware Knowledge Aggregation. ACM Multimedia 2020: 1227-1235 - [i11]Guohao Li, Chenxin Xiong, Ali K. Thabet, Bernard Ghanem:
DeeperGCN: All You Need to Train Deeper GCNs. CoRR abs/2006.07739 (2020) - [i10]Guohao Li, Mengmeng Xu, Silvio Giancola, Ali K. Thabet, Bernard Ghanem:
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks. CoRR abs/2008.10309 (2020) - [i9]Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein:
FLAG: Adversarial Data Augmentation for Graph Neural Networks. CoRR abs/2010.09891 (2020)
2010 – 2019
- 2019
- [c6]Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. CVPR Workshops 2019: 573-581 - [c5]Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Can GCNs Go As Deep As CNNs? ICCV 2019: 9266-9275 - [c4]Guohao Li, Xin Wang, Wenwu Zhu:
Perceptual Visual Reasoning with Knowledge Propagation. ACM Multimedia 2019: 530-538 - [c3]Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik Ludewig Michels, Bernard Ghanem:
OIL: Observational Imitation Learning. Robotics: Science and Systems 2019 - [i8]Guohao Li, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
Can GCNs Go as Deep as CNNs? CoRR abs/1904.03751 (2019) - [i7]Matthias Müller, Guohao Li, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-based UAV Racing. CoRR abs/1904.08801 (2019) - [i6]Haiping Zhu, Yuheng Zhang, Guohao Li, Junping Zhang, Hongming Shan:
Ordinal Distribution Regression for Gait-based Age Estimation. CoRR abs/1905.11005 (2019) - [i5]Guohao Li, Matthias Müller, Guocheng Qian, Itzel C. Delgadillo, Abdulellah Abualshour, Ali K. Thabet, Bernard Ghanem:
DeepGCNs: Making GCNs Go as Deep as CNNs. CoRR abs/1910.06849 (2019) - [i4]Guohao Li, Guocheng Qian, Itzel C. Delgadillo, Matthias Müller, Ali K. Thabet, Bernard Ghanem:
SGAS: Sequential Greedy Architecture Search. CoRR abs/1912.00195 (2019) - [i3]Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem:
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks. CoRR abs/1912.03264 (2019) - 2018
- [c2]Yanyan Han, Guohao Li, Binbin Feng:
An SDN-Based Wireless Authentication and Access Control Security Solution. FCS 2018: 179-189 - [c1]Qiang Yang, Guohao Li, Ting Cai, Qiang Wang:
Underground Intelligent Logistic System Integrated with Internet of Things. IDCS 2018: 298-302 - [i2]Guohao Li, Matthias Müller, Vincent Casser, Neil Smith, Dominik L. Michels, Bernard Ghanem:
Teaching UAVs to Race With Observational Imitation Learning. CoRR abs/1803.01129 (2018) - 2017
- [i1]Guohao Li, Hang Su, Wenwu Zhu:
Incorporating External Knowledge to Answer Open-Domain Visual Questions with Dynamic Memory Networks. CoRR abs/1712.00733 (2017)
Coauthor Index
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last updated on 2024-09-12 02:29 CEST by the dblp team
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