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Publication search results
found 167 matches
- 2024
- Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Amalgamating Multi-Task Models with Heterogeneous Architectures. AAAI 2024: 15346-15354 - Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He:
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. CoRR abs/2408.10159 (2024) - 2023
- Jidapa Thadajarassiri, Thomas Hartvigsen, Walter Gerych, Xiangnan Kong, Elke A. Rundensteiner:
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer. AAAI 2023: 9980-9988 - Jianjun Luo, Ryan A. Rossi, Xiangnan Kong, Yanhua Li:
Multi-Item Continuous Influence Maximization. IEEE Big Data 2023: 5282-5291 - Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. IEEE Big Data 2023: 453-462 - Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong:
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. KDD 2023: 2049-2060 - Thomas Hartvigsen, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Finding Short Signals in Long Irregular Time Series with Continuous-Time Attention Policy Networks. CoRR abs/2302.04052 (2023) - Yao Su, Zhentian Qian, Lei Ma, Lifang He, Xiangnan Kong:
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data. CoRR abs/2307.15198 (2023) - Hang Yin, Yao Su, Xinyue Liu, Thomas Hartvigsen, Yanhua Li, Xiangnan Kong:
Multi-State Brain Network Discovery. CoRR abs/2311.02466 (2023) - 2022
- Yang Liu, Shuang Liu, Jingwen Xu, Xiangna Kong, Liao Xie, Keyu Chen, Yunyuan Liao, Bowei Fan, Kaili Wang:
Forest pest identification based on a new dataset and convolutional neural network model with enhancement strategy. Comput. Electron. Agric. 192: 106625 (2022) - Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
Off-Deployment Traffic Estimation - A Traffic Generative Adversarial Networks Approach. IEEE Trans. Big Data 8(4): 1084-1095 (2022) - Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry:
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34(5): 2401-2415 (2022) - Yao Zhang, Sijia Peng, Yun Xiong, Xiangnan Kong, Xinyue Liu, Yangyong Zhu:
Multi-task attributed graphical lasso and its application in fund classification. World Wide Web 25(3): 1425-1446 (2022) - Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CIKM 2022: 696-705 - Yingxue Zhang, Yanhua Li, Xun Zhou, Xiangnan Kong, Jun Luo:
STrans-GAN: Spatially-Transferable Generative Adversarial Networks for Urban Traffic Estimation. ICDM 2022: 743-752 - Yao Su, Xin Dai, Lifang He, Xiangnan Kong:
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. ICDM 2022: 468-477 - Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong:
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. KDD 2022: 1666-1675 - Zhongfang Zhuang, Xiangnan Kong, Elke A. Rundensteiner, Aditya Arora, Jihane Zouaoui:
One-Shot Learning on Attributed Sequences. CoRR abs/2201.09202 (2022) - Thomas Hartvigsen, Walter Gerych, Jidapa Thadajarassiri, Xiangnan Kong, Elke A. Rundensteiner:
Stop&Hop: Early Classification of Irregular Time Series. CoRR abs/2208.09795 (2022) - Yao Su, Xin Dai, Lifang He, Xiangnan Kong:
ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration. CoRR abs/2212.03277 (2022) - Yao Su, Zhentian Qian, Lifang He, Xiangnan Kong:
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data. CoRR abs/2212.03306 (2022) - 2021
- Hongfei Xie, Junfang Zhao, Weixiong Yan, Xiangna Kong, Huiwen Peng:
Integrated Remote Sensing and Crop Model Approach for Impact Assessment of Aerosols on Biomass Accumulation of Maize. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 7237-7245 (2021) - Yun Xiong, Yizhou Zhang, Xiangnan Kong, Huidi Chen, Yangyong Zhu:
GraphInception: Convolutional Neural Networks for Collective Classification in Heterogeneous Information Networks. IEEE Trans. Knowl. Data Eng. 33(5): 1960-1972 (2021) - Yao Zhang, Yun Xiong, Xiangnan Kong, Zhuang Niu, Yangyong Zhu:
IGE+: A Framework for Learning Node Embeddings in Interaction Graphs. IEEE Trans. Knowl. Data Eng. 33(3): 1032-1044 (2021) - Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Semi-Supervised Knowledge Amalgamation for Sequence Classification. AAAI 2021: 9859-9867 - Dongyu Zhang, Cansu Sen, Jidapa Thadajarassiri, Thomas Hartvigsen, Xiangnan Kong, Elke A. Rundensteiner:
Human-like Explanation for Text Classification With Limited Attention Supervision. IEEE BigData 2021: 957-967 - Xin Dai, Xiangnan Kong, Tian Guo, Xinlu He:
FiShNet: Fine-Grained Filter Sharing for Resource-Efficient Multi-Task Learning. CIKM 2021: 322-331 - Chao Chen, Yifan Shen, Guixiang Ma, Xiangnan Kong, Srinivas Rangarajan, Xi Zhang, Sihong Xie:
Self-learn to Explain Siamese Networks Robustly. ICDM 2021: 1018-1023 - Hang Yin, John Boaz Lee, Xiangnan Kong, Thomas Hartvigsen, Sihong Xie:
Energy-Efficient Models for High-Dimensional Spike Train Classification using Sparse Spiking Neural Networks. KDD 2021: 2017-2025 - Xin Dai, Xiangnan Kong, Tian Guo, Yixian Huang:
CiNet: Redesigning Deep Neural Networks for Efficient Mobile-Cloud Collaborative Inference. SDM 2021: 459-467
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