Xiangyu Chen - RankMe

24 papers A* 2A 2Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention. AAAI Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand
2025	J	`jnl`	LatentLLM: Attention-Aware Joint Tensor Compression. CoRR Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Wang, Matthew Brand
2025	J	`jnl`	TuneComp: Joint Fine-tuning and Compression for Large Foundation Models. CoRR Xiangyu Chen, Jing Liu, Ye Wang, Matthew Brand, Pu Wang, Toshiaki Koike-Akino
2024	J	`jnl`	A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. CoRR Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2024	J	`jnl`	A New Dataset and Comparative Study for Aphid Cluster Detection and Segmentation in Sorghum Fields. J. Imaging Raiyan Rahman, Christopher Indris, Goetz Bramesfeld, Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Ivan Grijalva, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2024	—	`conf`	SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models. CVPR Workshops Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino
2024	A	`conf`	SuperLoRA: Parameter-Efficient Unified Adaptation of Large Foundation Models. BMVC Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino
2024	J	`jnl`	SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules. CoRR Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand, Guanghui Wang, Toshiaki Koike-Akino
2023	J	`jnl`	A New Dataset and Comparative Study for Aphid Cluster Detection. CoRR Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2023	A	`conf`	Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. WACV Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang
2023	J	`jnl`	Aphid Cluster Recognition and Detection in the Wild Using Deep Learning Models. CoRR Tianxiao Zhang, Kaidong Li, Xiangyu Chen, Cuncong Zhong, Bo Luo, Ivan Grijalva Teran, Brian McCornack, Daniel Flippo, Ajay Sharda, Guanghui Wang
2023	J	`jnl`	Gender, Smoking History and Age Prediction from Laryngeal Images. CoRR Tianxiao Zhang, Andrés M. Bur, Shannon Kraft, Hannah Kavookjian, Bryan Renslo, Xiangyu Chen, Bo Luo, Guanghui Wang
2023	J	`jnl`	Gender, Smoking History, and Age Prediction from Laryngeal Images. J. Imaging Tianxiao Zhang, Andrés M. Bur, Shannon Kraft, Hannah Kavookjian, Bryan Renslo, Xiangyu Chen, Bo Luo, Guanghui Wang
2023	—	`conf`	MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices. ICCV (Workshops) Xiangyu Chen, Ruiwen Zhen, Shuai Li, Xiaotian Li, Guanghui Wang
2023	J	`jnl`	MOFA: A Model Simplification Roadmap for Image Restoration on Mobile Devices. CoRR Xiangyu Chen, Ruiwen Zhen, Shuai Li, Xiaotian Li, Guanghui Wang
2022	J	`jnl`	Accumulated Trivial Attention Matters in Vision Transformers on Small Datasets. CoRR Xiangyu Chen, Qinghao Hu, Kaidong Li, Cuncong Zhong, Guanghui Wang
2022	A*	`conf`	Dilated Continuous Random Field for Semantic Segmentation. ICRA Xi Mo, Xiangyu Chen, Cuncong Zhong, Rui Li, Kaidong Li, Usman Sajid
2022	J	`jnl`	Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets. CoRR Xiangyu Chen, Ying Qin, Wenju Xu, Andrés M. Bur, Cuncong Zhong, Guanghui Wang
2022	J	`jnl`	Realtime Global Attention Network for Semantic Segmentation. IEEE Robotics Autom. Lett. Xi Mo, Xiangyu Chen
2021	—	`conf`	Audio-Visual Transformer Based Crowd Counting. ICCVW Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang
2021	J	`jnl`	Audio-Visual Transformer Based Crowd Counting. CoRR Usman Sajid, Xiangyu Chen, Hasan Sajid, Taejoon Kim, Guanghui Wang
2021	—	`conf`	Few-Shot Learning by Integrating Spatial and Frequency Representation. CRV Xiangyu Chen, Guanghui Wang
2021	J	`jnl`	Few-Shot Learning by Integrating Spatial and Frequency Representation. CoRR Xiangyu Chen, Guanghui Wang
2020	—	`conf`	Improving Engagement by Letting Social Robots Learn and Call Your Name. HRI (Companion) Xiangyu Chen, Andrew B. Williams