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Publication search results
found 107 matches
- 2024
- Weilong Tan, Hongyi Zhang, Zidong Wang, Han Li, Xingen Gao, Nianyin Zeng:
S3T-Net: A novel electroencephalogram signals-oriented emotion recognition model. Comput. Biol. Medicine 179: 108808 (2024) - Weimin Wen, Hongyi Zhang, Zidong Wang, Xingen Gao, Peishu Wu, Juqiang Lin, Nianyin Zeng:
Enhanced multi-label cardiology diagnosis with channel-wise recurrent fusion. Comput. Biol. Medicine 171: 108210 (2024) - Nianchang Huang, Baichao Xing, Qiang Zhang, Jungong Han, Jin Huang:
Co-segmentation assisted cross-modality person re-identification. Inf. Fusion 104: 102194 (2024) - Bo Yi, Lin Qiu, Jianhui Lv, Yingpu Nian, Xingwei Wang, Sajal K. Das:
Toward Fine-Gained Services: NFV-Assisted Tracking and Positioning Using Micro-Services for Multi-Robot Cooperation. IEEE Netw. 38(3): 8-16 (2024) - Sensen Xing, Cheng Wang, Wei Wang, Rui Feng Cao, Anthony Chun Yin Yuen, Eric Wai Ming Lee, Guan Heng Yeoh, Qing Nian Chan:
A fine discrete floor field cellular automaton model with natural step length for pedestrian dynamics. Simul. Model. Pract. Theory 130: 102841 (2024) - Lu Tan, Nian Liu, Haonan Sun, Xinghuo Yu:
A Cyber-Physical-Social System Approach for Peer-to-Peer Energy Sharing. IEEE Trans. Smart Grid 15(4): 4010-4022 (2024) - Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Threshold-Consistent Margin Loss for Open-World Deep Metric Learning. ICLR 2024 - Jiarui Xing, Nian Wu, Kenneth C. Bilchick, Frederick H. Epstein, Miaomiao Zhang:
Multimodal Learning to Improve Cardiac Late Mechanical Activation Detection from Cine MR Images. ISBI 2024: 1-4 - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14645, Springer 2024, ISBN 978-981-97-2241-9 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14646, Springer 2024, ISBN 978-981-97-2252-5 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part III. Lecture Notes in Computer Science 14647, Springer 2024, ISBN 978-981-97-2261-7 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14648, Springer 2024, ISBN 978-981-97-2240-2 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part V. Lecture Notes in Computer Science 14649, Springer 2024, ISBN 978-981-97-2264-8 [contents] - De-Nian Yang, Xing Xie, Vincent S. Tseng, Jian Pei, Jen-Wei Huang, Jerry Chun-Wei Lin:
Advances in Knowledge Discovery and Data Mining - 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 14650, Springer 2024, ISBN 978-981-97-2265-5 [contents] - Guohang Yan, Jiahao Pi, Jianfei Guo, Zhaotong Luo, Min Dou, Nianchen Deng, Qiusheng Huang, Daocheng Fu, Licheng Wen, Pinlong Cai, Xing Gao, Xinyu Cai, Bo Zhang, Xuemeng Yang, Yeqi Bai, Hongbin Zhou, Botian Shi:
OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving. CoRR abs/2402.03830 (2024) - Jiarui Xing, Nian Wu, Kenneth C. Bilchick, Frederick H. Epstein, Miaomiao Zhang:
Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images. CoRR abs/2402.18507 (2024) - Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang:
LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation. CoRR abs/2407.02229 (2024) - Nian Wu, Jiarui Xing, Miaomiao Zhang:
TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration. CoRR abs/2407.11219 (2024) - 2023
- Yinying Kong, Niangqiu Huang, Haodong Deng, Junwen Feng, Xingyi Liang, Weisi Lv, Jingyi Liu:
Text classification in fair competition law violations using deep learning. Frontiers Appl. Math. Stat. 9 (2023) - Xiaoxuan Yan, Ru Kong, Aihuiping Xue, Qing Yang, Csaba Orban, Lijun An, Avram J. Holmes, Xing Qian, Jianzhong Chen, Xi-Nian Zuo, Juan Helen Zhou, Marielle V. Fortier, Ai Peng Tan, Peter D. Gluckman, Yap-Seng Chong, Michael J. Meaney, Danilo Bzdok, Simon B. Eickhoff, B. T. Thomas Yeo:
Homotopic local-global parcellation of the human cerebral cortex from resting-state functional connectivity. NeuroImage 273: 120010 (2023) - Nianshuo Wen, Xingran Luo, Binbin Lu:
Identifying spatio-temporal patterns of the young population changes in mainland China from 2010 to 2020. Agro-Geoinformatics 2023: 1-5 - Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han:
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt. CVPR 2023: 15485-15494 - Jianqiao Lu, Wenyong Huang, Nianzu Zheng, Xingshan Zeng, Yu Ting Yeung, Xiao Chen:
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis. EMNLP (Findings) 2023: 4916-4928 - Nianfeng Wang, Guisheng Shang, Xingyue Liu, Xuewei Zheng, Xianmin Zhang:
Design and Optimization of Compliant Rotational Hinge Based on Curved Beam. ICIRA (9) 2023: 250-260 - Hao Li, Dingwen Zhang, Nian Liu, Lechao Cheng, Yalun Dai, Chao Zhang, Xinggang Wang, Junwei Han:
Boosting Low-Data Instance Segmentation by Unsupervised Pre-training with Saliency Prompt. CoRR abs/2302.01171 (2023) - Qin Zhang, Dongsheng An, Tianjun Xiao, Tong He, Qingming Tang, Ying Nian Wu, Joseph Tighe, Yifan Xing:
Learning for Open-World Calibration with Graph Neural Networks. CoRR abs/2305.12039 (2023) - Qin Zhang, Linghan Xu, Qingming Tang, Jun Fang, Ying Nian Wu, Joe Tighe, Yifan Xing:
Calibration-Aware Margin Loss: Pushing the Accuracy-Calibration Consistency Pareto Frontier for Deep Metric Learning. CoRR abs/2307.04047 (2023) - Jianqiao Lu, Wenyong Huang, Nianzu Zheng, Xingshan Zeng, Yu Ting Yeung, Xiao Chen:
Improving End-to-End Speech Processing by Efficient Text Data Utilization with Latent Synthesis. CoRR abs/2310.05374 (2023) - Anran Wu, Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Zisong Zhuang, Nian Xie, Cheng Jin, Liang He:
DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding. CoRR abs/2310.18983 (2023) - 2022
- Nian Liu, Lei Fan, Huihao Wu, Jiyu Jin, Jun Xing, Zhanhong Liu:
DFT-Based Frequency Estimation of Multiple Sinusoids. IEEE Access 10: 40230-40236 (2022)
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