Teaching UAVs to Race With Observational Imitation Learning. - Guohao Li 001; Matthias Müller 011; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CoRR, 2018)

Learning a Controller Fusion Network by Online Trajectory Filtering for Vision-Based UAV Racing. - Matthias Müller 011; Guohao Li 001; Vincent Casser; Neil Smith; Dominik L. Michels; Bernard Ghanem (CVPR Workshops, 2019)

DeepGCNs: Can GCNs Go As Deep As CNNs? - Guohao Li 001; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (ICCV, 2019)

OIL: Observational Imitation Learning. - Guohao Li 001; Matthias Müller 011; Vincent Casser; Neil Smith; Dominik Ludewig Michels; Bernard Ghanem (Robotics: Science and Systems, 2019)

Can GCNs Go as Deep as CNNs? - Guohao Li 001; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (CoRR, 2019)

SGAS: Sequential Greedy Architecture Search. - Guohao Li 001; Guocheng Qian; Itzel C. Delgadillo; Matthias Müller 011; Ali K. Thabet; Bernard Ghanem (CVPR, 2020)

DeeperGCN: All You Need to Train Deeper GCNs. - Guohao Li 001; Chenxin Xiong; Ali K. Thabet; Bernard Ghanem (CoRR, 2020)

FLAG: Adversarial Data Augmentation for Graph Neural Networks. - Kezhi Kong; Guohao Li 001; Mucong Ding; Zuxuan Wu; Chen Zhu 001; Bernard Ghanem; Gavin Taylor; Tom Goldstein (CoRR, 2020)

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks. - Guocheng Qian; Abdulellah Abualshour; Guohao Li 001; Ali K. Thabet; Bernard Ghanem (CVPR, 2021)

Training Graph Neural Networks with 1000 Layers. - Guohao Li 001; Matthias Müller 011; Bernard Ghanem; Vladlen Koltun (ICML, 2021)

ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning. - Guocheng Qian; Hasan Hammoud; Guohao Li 001; Ali K. Thabet; Bernard Ghanem (NeurIPS, 2021)

LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks. - Guohao Li 001; Mengmeng Xu; Silvio Giancola; Ali K. Thabet; Bernard Ghanem (3DV, 2022)

Robust Optimization as Data Augmentation for Large-scale Graphs. - Kezhi Kong; Guohao Li 001; Mucong Ding; Zuxuan Wu; Chen Zhu 001; Bernard Ghanem; Gavin Taylor; Tom Goldstein (CVPR, 2022)

When NAS Meets Trees: An Efficient Algorithm for Neural Architecture Search. - Guocheng Qian; Xuanyang Zhang; Guohao Li 001; Chen Zhao 002; Yukang Chen; Xiangyu Zhang 005; Bernard Ghanem; Jian Sun 001 (CVPR Workshops, 2022)

Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels. - Bing Li 024; Cheng Zheng 003; Guohao Li 001; Bernard Ghanem (CoRR, 2022)

UnrealNAS: Can We Search Neural Architectures with Unreal Data? - Zhen Dong 003; Kaicheng Zhou; Guohao Li 001; Qiang Zhou; Mingfei Guo; Bernard Ghanem; Kurt Keutzer; Shanghang Zhang (CoRR, 2022)

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. - Ling Yang 006; Zhilin Huang; Yang Song 011; Shenda Hong; Guohao Li 001; Wentao Zhang 001; Bin Cui 001; Bernard Ghanem; Ming-Hsuan Yang 001 (CoRR, 2022)

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society. - Guohao Li 001; Hasan Hammoud; Hani Itani; Dmitrii Khizbullin; Bernard Ghanem (NeurIPS, 2023)

How To Not Train Your Dragon: Training-free Embodied Object Goal Navigation with Semantic Frontiers. - Junting Chen; Guohao Li 001; Suryansh Kumar 001; Bernard Ghanem; Fisher Yu 001 (Robotics: Science and Systems, 2023)

CAMEL: Communicative Agents for "Mind" Exploration of Large Scale Language Model Society. - Guohao Li 001; Hasan Abed Al Kader Hammoud; Hani Itani; Dmitrii Khizbullin; Bernard Ghanem (CoRR, 2023)

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field. - Kun Wang 042; Guohao Li 001; Shilong Wang 002; Guibin Zhang; Kai Wang 036; Yang You 001; Xiaojiang Peng; Yuxuan Liang; Yang Wang 015 (CoRR, 2023)

DeepGCNs: Making GCNs Go as Deep as CNNs. - Guohao Li 001; Matthias Müller 011; Guocheng Qian; Itzel C. Delgadillo; Abdulellah Abualshour; Ali K. Thabet; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Knowledge-Aware Global Reasoning for Situation Recognition. - Weijiang Yu; Haofan Wang; Guohao Li 001; Nong Xiao 001; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

DeeperGCN: Training Deeper GCNs With Generalized Aggregation Functions. - Guohao Li 001; Chenxin Xiong; Guocheng Qian; Ali K. Thabet; Bernard Ghanem (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

The Snowflake Hypothesis: Training and Powering GNN with One Node One Receptive Field. - Kun Wang 056; Guohao Li 001; Shilong Wang 002; Guibin Zhang; Kai Wang 036; Yang You 001; Junfeng Fang; Xiaojiang Peng; Yuxuan Liang; Yang Wang 015 (KDD, 2024)

The Heterophilic Snowflake Hypothesis: Training and Empowering GNNs for Heterophilic Graphs. - Kun Wang 056; Guibin Zhang; Xinnan Zhang; Junfeng Fang; Xun Wu; Guohao Li 001; Shirui Pan; Wei Huang 034; Yuxuan Liang (KDD, 2024)

Can Large Language Model Agents Simulate Human Trust Behavior? - Chengxing Xie; Canyu Chen; Feiran Jia; Ziyu Ye; Shiyang Lai; Kai Shu; Jindong Gu; Adel Bibi; Ziniu Hu; David Jurgens; James Evans; Philip Torr 001; et al. (NeurIPS, 2024)

Leveraging 2D molecular graph pretraining for improved 3D conformer generation with graph neural networks. - Kumail Alhamoud; Yasir Ghunaim; Abdulelah S. Alshehri; Guohao Li 001; Bernard Ghanem; Fengqi You (Comput. Chem. Eng., 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 Torr 001; Bernard Ghanem; Guohao Li 001 (CoRR, 2024)

All Nodes are created Not Equal: Node-Specific Layer Aggregation and Filtration for GNN. - Shilong Wang 002; Hao Wu 083; Yifan Duan; Guibin Zhang; Guohao Li 001; Yuxuan Liang; Shirui Pan; Kun Wang 042; Yang Wang 015 (CoRR, 2024)

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. - Tianqi Xu; Linyao Chen; Dai-Jie Wu; Yanjun Chen; Zecheng Zhang; Xiang Yao; Zhiqiang Xie; Yongchao Chen; Shilong Liu; Bochen Qian; Philip Torr 001; Bernard Ghanem; et al. (CoRR, 2024)

A Scalable Communication Protocol for Networks of Large Language Models. - Samuele Marro; Emanuele La Malfa; Jesse Wright; Guohao Li 001; Nigel Shadbolt; Michael J. Wooldridge; Philip Torr 001 (CoRR, 2024)

OASIS: Open Agent Social Interaction Simulations with One Million Agents. - Ziyi Yang; Zaibin Zhang; Zirui Zheng; Yuxian Jiang; Ziyue Gan; Zhiyu Wang; Zijian Ling; Jinsong Chen; Martz Ma; Bowen Dong; Prateek Gupta; Shuyue Hu; et al. (CoRR, 2024)

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets. - Kun Wang 056; Yuxuan Liang; Xinglin Li; Guohao Li 001; Bernard Ghanem; Roger Zimmermann; Zhengyang Zhou; Huahui Yi; Yudong Zhang 005; Yang Wang 015 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. - Qiushi Sun; Kanzhi Cheng; Zichen Ding 002; Chuanyang Jin; Yian Wang 003; Fangzhi Xu; Zhenyu Wu; Chengyou Jia; Liheng Chen; Zhoumianze Liu; Ben Kao; Guohao Li 001; et al. (ACL (1), 2025)

CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents. - Tianqi Xu; Linyao Chen; Dai-Jie Wu; Yanjun Chen; Zecheng Zhang; Xiang Yao; Zhiqiang Xie; Yongchao Chen; Shilong Liu; Bochen Qian; Anjie Yang; Zhaoxuan Jin; et al. (ACL (Findings), 2025)

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation. - Xinchen Zhang; Ling Yang 006; Guohao Li 001; Yaqi Cai; Jiake Xie; Yong Tang; Yujiu Yang; Mengdi Wang; Bin Cui 001 (ICLR, 2025)

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 024; et al. (Comput. Vis. Media, 2025)

Vision-Language Models Do Not Understand Negation. - Kumail Alhamoud; Shaden Alshammari; Yonglong Tian; Guohao Li 001; Philip Torr 001; Yoon Kim; Marzyeh Ghassemi (CoRR, 2025)

AVA: Attentive VLM Agent for Mastering StarCraft II. - Weiyu Ma; Yuqian Fu; Zecheng Zhang; Bernard Ghanem; Guohao Li 001 (CoRR, 2025)

OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation. - Mengkang Hu; Yuhang Zhou; Wendong Fan; Yuzhou Nie; Bowei Xia; Tao Sun; Ziyu Ye; Zhaoxuan Jin; Yingru Li; Qiguang Chen; Zeyu Zhang; Yifeng Wang; et al. (CoRR, 2025)

Distilling Tool Knowledge into Language Models via Back-Translated Traces. - Xingyue Huang; Xianglong Hu; Zifeng Ding; Yuan He 008; Rishabh; Waleed Alzarooni; Ziyu Ye; Wendong Fan; Bailan He; Haige Bo; Changran Hu; Guohao Li 001 (CoRR, 2025)