| Adversarial reciprocal points learning for open set recognition G Chen, P Peng, X Wang, Y Tian IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 319 | 2022 |
| OpenOOD: Benchmarking generalized out-of-distribution detection J Yang, P Wang, D Zou, Z Zhou, K Ding, W Peng, H Wang, G Chen, B Li, ... Thirty-sixth Conference on Neural Information Processing Systems Datasets …, 2022 | 261 | 2022 |
| Learning open set network with discriminative reciprocal points G Chen, L Qiao, Y Shi, P Peng, J Li, T Huang, S Pu, Y Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 241 | 2020 |
| Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey X Wang, G Chen, G Qian, P Gao, XY Wei, Y Wang, Y Tian, W Gao Machine Intelligence Research, 2023 | 199 | 2023 |
| Amplitude-phase recombination: Rethinking robustness of convolutional neural networks in frequency domain G Chen, P Peng, L Ma, J Li, L Du, Y Tian Proceedings of the IEEE/CVF international conference on computer vision, 458-467, 2021 | 115 | 2021 |
| Autoagents: A framework for automatic agent generation G Chen, S Dong, Y Shu, G Zhang, J Sesay, BF Karlsson, J Fu, Y Shi The 33rd International Joint Conference on Artificial Intelligence (IJCAI-24), 2024 | 76 | 2024 |
| Llasm: Large language and speech model Y Shu, S Dong, G Chen, W Huang, R Zhang, D Shi, Q Xiang, Y Shi arXiv preprint arXiv:2308.15930, 2023 | 41 | 2023 |
| Training full spike neural networks via auxiliary accumulation pathway G Chen, P Peng, G Li, Y Tian | 22 | 2024 |
| Spectrum Random Masking for Generalization in Image-based Reinforcement Learning Y Huang, P Peng, Y Zhao, G Chen, Y Tian Advances in Neural Information Processing Systems (NeurIPS), 2022 | 17 | 2022 |
| Adaptive Discovering and Merging for Incremental Novel Class Discovery G Chen, P Peng, Y Huang, M Geng, Y Tian Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024 | 10 | 2024 |
| Annotation-Efficient Untrimmed Video Action Recognition Y Zou, S Zhang, G Chen, Y Tian, K Keutzer, JMF Moura Proceedings of the 29th ACM International Conference on Multimedia (MM), 487-495, 2021 | 5 | 2021 |
| Anonymous model pruning for compressing deep neural networks L Zhang, G Chen, Y Shi, Q Zhang, M Tan, Y Wang, Y Tian, T Huang 2020 IEEE Conference on Multimedia Information Processing and Retrieval …, 2020 | 5 | 2020 |
| MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning Z Zhang*, G Chen*, Y Zou, Z Huang, Y Li, R Li Proceedings of the 32nd ACM International Conference on Multimedia (MM), 2024 | 2 | 2024 |
| Picking Up Quantization Steps for Compressed Image Classification L Ma, P Peng, G Chen, Y Zhao, S Dong, Y Tian IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) 33 (4 …, 2022 | 2 | 2022 |
| Training-free Anomaly Event Detection via LLM-guided Symbolic Pattern Discovery Y Zeng, H Wu, W Nie, G Chen, X Zheng, Y Shen, G Li, Y Zou, Y Tian, R Ji arXiv preprint arXiv:2502.05843, 2025 | | 2025 |
| Seek Commonality but Preserve Differences: Dissected Dynamics Modeling for Multi-modal Visual RL Y Huang, P Peng, Y Zhao, G Chen, Y Tian Advances in Neural Information Processing Systems 37, 1661-1685, 2025 | | 2025 |
| Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-shot Open-Set Recognition Z Zhang*, G Chen*, Y Zou, Y Li, R Li Proceedings of the 32nd ACM International Conference on Multimedia (MM), 2024 | | 2024 |
| Learning Sparse Neural Networks with Identity Layers M Ni, G Chen, X Zheng, P Peng, L Yuan, Y Tian International Conference on Image and Graphics, 91-102, 2023 | | 2023 |
| 紧致化神经网络的鲁棒性分析 陈光耀，彭佩玺，田永鸿， 中国科学：技术科学（SCIENTIA SINICA Technologica） 5 (52), 689 - 703, 2022 | | 2022 |
| Saliency Detection by Superpixel-Based Sparse Representation G Chen, Z Chen Advances in Multimedia Information Processing–PCM 2017: 18th Pacific-Rim …, 2018 | | 2018 |