Pubulications

I will try my best to update the list. Or you can check the full publications in my Google Scholar.

2024：

  1. Le Yang*, Ziwei Zheng, Yizeng Han, Hao Cheng, Shiji Song, Gao Huang, Fan Li, "DyFADet: Dynamic Feature Aggregation for Temporal Action Detection", European Conference on Computer Vision (ECCV), 2024. (Top CV Conference)
  2. Hao Cheng, Erjia Xiao, Jindong Gu, Le Yang, Jinhao Duan, Jize Zhang, Jiahang Cao, Kaidi Xu, Renjing Xu, "Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Model", European Conference on Computer Vision (ECCV), 2024. (Top CV Conference)
  3. Ziwei Zheng, Lijun He, Le Yang, Fan Li, "Fine-grained Dynamic Network for Generic Event Boundary Detection", European Conference on Computer Vision (ECCV), 2024. (Top CV Conference)

2023：

  1. Le Yang, Ziwei Zheng, Jian Wang, Shiji Song, Gao Huang and Fan Li, "AdaDet: An Adaptive Object Detection System based on Early-exit Neural Networks," IEEE Transactions on Cognitive and Developmental Systems (T-CDS), 2023. (Highly cited paper in ESI)
  2. Le Yang, Zelin Yang, Shiji Song, Fan Li and C.L. Philip Chen, "Twin Broad Learning System for Fault Diagnosis of Rotating Machinery," IEEE Transactions on Instrumentation and Measurement (T-IM), 2023.
  3. Ziwei Zheng, Le Yang*, Yulin Wang, Miao Zhang, Lijun He, Gao Huang and Fan Li, "Dynamic Spatial Focus for Efficient Compressed Video Action Recognition," IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2023.
  4. Lassi Meronen, Martin Trapp, Andrea Pilzer, Le Yang, Arno Solin, Fixing Overconfidence in Dynamic Neural Networks," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023.

2022：

  1. Le Yang, Zelin Yang, Ziwei Zheng, Lijun He, Fan Li and C.L. Philip Chen, "Anomaly Detection based on Broad Learning System for Rolling Element Bearing Fault Diagnosis", Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC), 2022. (CCF-A)
  2. Zixi Wang, Yuan Zhang, Le Yang, Fan Li, "Privacy-preserved Intermediate Feature Compression for Cyber-Physical Systems," Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC), 2022. (CCF-A)

2021：

  1. Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang and Qi Tian, "CondenseNet V2: Sparse Feature Reactivation for Deep Networks," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (CCF-A)
  2. Le Yang, Xiaoli Gong, Yizeng Han, Lijun He and Fan Li, "Dark-channel mixed attention based neural networks for smoke detection in fog environment," Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp/ISWC), 2021. (CCF-A)
  3. Le Yang, Shiji Song, Shuang Li, Yiming Chen and C. L. Philip Chen, "Discriminative Dimension Reduction via Maximin Separation Probability Analysis," in IEEE Transactions on Cybernetics (T-Cyber), 2021.
  4. Le Yang, Shiji Song, Shuang Li, Yiming Chen and Gao Huang, "Graph Embedding-Based Dimension Reduction With Extreme Learning Machine," in IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMC), 2021.
  5. Yizeng Han, Gao Huang, Shiji Song, Le Yang, Honghui Wang and Yulin Wang. "Dynamic neural networks: A survey," IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2021. (CCF-A) (Hot paper and highly cited paper in ESI)
  6. Gao Huang, Chunjiang Ge, Tianyu Xiong, Shiji Song, Le Yang, Baoxian Liu, Wenjun Yin and Cheng Wu, "Large scale air pollution prediction with deep convolutional networks," Journal of SCIENCE CHINA Information Sciences, 2021. (CCF-A)
  7. Le Yang, Yiming Chen, Shiji Song, Fan Li and Gao Huang, "Deep siamese networks based change detection with remote sensing images," Remote Sensing, 2021.
  8. Yizeng Han, Gao Huang+, Shiji Song, Le Yang, Yitian Zhang and Haojun Jiang, "Spatially adaptive feature refinement for efficient inference," IEEE Transactions on Image Processing (T-IP), 2021. (CCF-A)
  9. Yulin Wang, Zanlin Ni, Shiji Song, Le Yang and Gao Huang, "Revisiting Locally Supervised Learning: an Alternative to End­-to-­end Training," International Conference on Learning Representations (ICLR), 2021.
  10. Ziwei Zheng, Le Yang, Liejun Wang and Fan Li, "AD-DARTS: Adaptive Dropout for Differentiable Architecture Search," the First CAAI International Conference (CICAI), 2021.

2020:

  1. Le Yang, Yizeng Han, Xi Chen, Shiji Song, Jifeng Dai and Gao Huang, "Resolution Adaptive Networks for Efficient Inference," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (CCF-A)
  2. Yulin Wang, Kangchen Lv, Rui Huang, Shiji Song, Le Yang and Gao Huang, "Glance and Focus: a Dynamic Approach to Reducing Spatial Redundancy in Image Classification," Advances in Neural Information Processing Systems (NeurIPS), 2020. (CCF-A)

Before 2019：

  1. Le Yang, Shiji Song, Yanshang Gong, Gao Huang and Cheng Wu, "Nonparametric Dimension Reduction via Maximizing Pairwise Separation Probability," IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 2019.
  2. Yiming Chen, Shiji Song, Shuang Li, Le Yang and Cheng Wu, "Domain Space Transfer Extreme Learning Machine for Domain Adaptation," IEEE Transactions on Cybernetics (T-Cyber), 2019.
  3. Le Yang, Shiji Song and C. L. Philip Chen. "Transductive Transfer Learning Based on Broad Learning System," IEEE International Conference on Systems, Man, and Cybernetics, 2018.