| Pointnetgpd: Detecting grasp configurations from point sets H Liang, X Ma, S Li, M Görner, S Tang, B Fang, F Sun, J Zhang 2019 International Conference on Robotics and Automation (ICRA), 3629-3635, 2019 | 417 | 2019 |
| Hyperchaos and horseshoe in a 4D memristive system with a line of equilibria and its implementation Q Li, S Hu, S Tang, G Zeng International Journal of Circuit Theory and Applications 42 (11), 1172-1188, 2014 | 126 | 2014 |
| On hyperchaos in a small memristive neural network Q Li, S Tang, H Zeng, T Zhou Nonlinear Dynamics 78, 1087-1099, 2014 | 119 | 2014 |
| Accurate object detection using memory-based models in surveillance scenes X Li, M Ye, Y Liu, F Zhang, D Liu, S Tang Pattern Recognition 67, 73-84, 2017 | 55 | 2017 |
| New bifurcations in the simplest passive walking model Q Li, S Tang, XS Yang Chaos: An Interdisciplinary Journal of Nonlinear Science 23 (4), 2013 | 43 | 2013 |
| Object affordance based multimodal fusion for natural human-robot interaction J Mi, S Tang, Z Deng, M Goerner, J Zhang Cognitive Systems Research 54, 128-137, 2019 | 39 | 2019 |
| A new 4D hyperchaotic system with high complexity L Chen, S Tang, Q Li, S Zhong Mathematics and Computers in Simulation 146, 44-56, 2018 | 39 | 2018 |
| Semantic consistency learning on manifold for source data-free unsupervised domain adaptation S Tang, Y Zou, Z Song, J Lyu, L Chen, M Ye, S Zhong, J Zhang Neural Networks 152, 467-478, 2022 | 25 | 2022 |
| Source-Free Domain Adaptation via Target Prediction Distribution Searching S Tang, A Chang, F Zhang, X Zhu, M Ye, C Zhang International Journal of Computer Vision 132 (2024), 654-672, 2024 | 23 | 2024 |
| Algorithm for finding horseshoes in three-dimensional hyperchaotic maps and its application QD Li, S Tang | 22 | 2013 |
| Intention-Related Natural Language Grounding via Object Affordance Detection and Intention Semantic Extraction J Mi, H Liang, N Katsakis, T Song*, Q Li, C Zhang, J Zhang Frontiers in Neurorobotics 14, 2020 | 20 | 2020 |
| Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation S Tang, Y Yang, Z Ma, N Hendrich, F Zeng, SS Ge, C Zhang, J Zhang https://arxiv.org/abs/2107.12585, 2021 | 19 | 2021 |
| Hyperchaotic set in continuous chaos–hyperchaos transition Q Li, S Tang, XS Yang Communications in Nonlinear Science and Numerical Simulation 19 (10), 3718-3734, 2014 | 19 | 2014 |
| Source-free domain adaptation with class prototype discovery L Zhou, N Li, M Ye, X Zhu, S Tang Pattern recognition 145, 109974, 2024 | 18 | 2024 |
| Model Adaptation through Hypothesis Transfer with Gradual Knowledge Distillation S Tang, Y Shi, Z Ma, J Li, J Lyu, Q Li, J Zhang 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 17 | 2021 |
| Interactive Natural Language Grounding via Referring Expression Comprehension and Scene Graph Parsing J Mi, J Lyu, S Tang, Q Li, J Zhang Frontiers in Neurorobotics 14, 2020 | 14 | 2020 |
| Source-Free Domain Adaptation with Frozen Multimodal Foundation Model S Tang, W Su, M Ye, X Zhu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 13 | 2024 |
| Adaptive pedestrian detection by predicting classifier S Tang, M Ye, P Xu, X Li Neural Computing and Applications 31 (4), 1189-1200, 2019 | 13 | 2019 |
| Adaptive pedestrian detection using convolutional neural network with dynamically adjusted classifier S Tang, M Ye, C Zhu, Y Liu Journal of Electronic Imaging 26 (1), 013012-013012, 2017 | 13 | 2017 |
| Semi-supervised low-rank representation for image classification C Yang, M Ye, S Tang, T Xiang, Z Liu Signal, Image and Video Processing 11, 73-80, 2017 | 11 | 2017 |
Mao Ye (叶茂)Professor of Computer Science, University of Electronic Science and Technology of ChinaEmail verificata su uestc.edu.cn