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Publication search results
found 249 matches
- 2024
- Leloko J. Lepolesa, Kayode E. Adetunji, Khmaies Ouahada, Zhenqing Liu, Ling Cheng:
Optimal EV Charging Strategy for Distribution Networks Load Balancing in a Smart Grid Using Dynamic Charging Price. IEEE Access 12: 47421-47432 (2024) - Kristina A. Malsagova, Arthur T. Kopylov, Vasiliy I. Pustovoyt, Evgenii I. Balakin, Ksenia A. Yurku, Alexander A. Stepanov, Liudmila I. Kulikova, Vladimir R. Rudnev, Anna L. Kaysheva:
Proteomic and Metabolomic Analyses of the Blood Samples of Highly Trained Athletes. Data 9(1): 15 (2024) - Hai Li, Zhan Li, Jiayu Liu, Xiaolong Zheng, Xinghu Yu, Okyay Kaynak:
Adaptive neural network backstepping control method for aerial manipulator based on coupling disturbance compensation. J. Frankl. Inst. 361(7): 106733 (2024) - Xi Liu, Gizem Kayar, Ken Perlin:
A GPU-based hydrodynamic simulator with boid interactions. Parallel Comput. 119: 103062 (2024) - Christopher A. Mancuso, Kayla A. Johnson, Renming Liu, Arjun Krishnan:
Joint representation of molecular networks from multiple species improves gene classification. PLoS Comput. Biol. 20(1) (2024) - Yuheng Liu, Ye Wang, Yifan Zhang, Shaohui Mei, Jiaqi Zou, Zhuohong Li, Fangxiao Lu, Wei He, Hongyan Zhang, Huilin Zhao, Chuan Chen, Cong Xia, Hao Li, Gemine Vivone, Ronny Hänsch, Gülsen Taskin Kaya, Jing Yao, A. Kai Qin, Bing Zhang, Jocelyn Chanussot, Danfeng Hong:
Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of the 2023 IEEE WHISPERS C2Seg Challenge. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 8851-8862 (2024) - Xiang Huang, Hao Peng, Dongcheng Zou, Zhiwei Liu, Jianxin Li, Kay Liu, Jia Wu, Jianlin Su, Philip S. Yu:
CoSENT: Consistent Sentence Embedding via Similarity Ranking. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2800-2813 (2024) - Junhao Huang, Alexandre Adomnicai, Jipeng Zhang, Wangchen Dai, Yao Liu, Ray C. C. Cheung, Çetin Kaya Koç, Donglong Chen:
Revisiting Keccak and Dilithium Implementations on ARMv7-M. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2024(2): 1-24 (2024) - Xiangning Xie, Yanan Sun, Yuqiao Liu, Mengjie Zhang, Kay Chen Tan:
Architecture Augmentation for Performance Predictor via Graph Isomorphism. IEEE Trans. Cybern. 54(3): 1828-1840 (2024) - Lei Chen, Hai-Lin Liu, Ke Li, Kay Chen Tan:
Evolutionary Bilevel Optimization via Multiobjective Transformation-Based Lower-Level Search. IEEE Trans. Evol. Comput. 28(3): 733-747 (2024) - Xun Zhou, Zhenkun Wang, Liang Feng, Songbai Liu, Ka-Chun Wong, Kay Chen Tan:
Toward Evolutionary Multitask Convolutional Neural Architecture Search. IEEE Trans. Evol. Comput. 28(3): 682-695 (2024) - Jianping Luo, YongFei Dong, Qiqi Liu, Zexuan Zhu, Wenming Cao, Kay Chen Tan, Yaochu Jin:
A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. IEEE Trans. Emerg. Top. Comput. Intell. 8(2): 1894-1909 (2024) - Zhi-An Huang, Rui Liu, Zexuan Zhu, Kay Chen Tan:
Multitask Learning for Joint Diagnosis of Multiple Mental Disorders in Resting-State fMRI. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8161-8175 (2024) - Rui Liu, Zhi-An Huang, Yao Hu, Zexuan Zhu, Ka-Chun Wong, Kay Chen Tan:
Attention-Like Multimodality Fusion With Data Augmentation for Diagnosis of Mental Disorders Using MRI. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7627-7641 (2024) - Michael Baddeley, Carlo Alberto Boano, Antonio Escobar-Molero, Ye Liu, Xiaoyuan Ma, Victor Marot, Usman Raza, Kay Römer, Markus Schuss, Aleksandar Stanoev:
Understanding Concurrent Transmissions: The Impact of Carrier Frequency Offset and RF Interference on Physical Layer Performance. ACM Trans. Sens. Networks 20(1): 2:1-2:39 (2024) - Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang:
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations. AAAI 2024: 20640-20648 - Tamisa Ketmalasiri, Yu Yvonne Wu, Kayla-Jade Butkow, Cecilia Mascolo, Yang Liu:
IMChew: Chewing Analysis using Earphone Inertial Measurement Units. BodySys@MobiSys 2024: 29-34 - Evan Zheran Liu, David Yuan, Ahmed Ahmed, Elyse Cornwall, Juliette Woodrow, Kaylee Burns, Allen Nie, Emma Brunskill, Chris Piech, Chelsea Finn:
A Fast and Accurate Machine Learning Autograder for the Breakout Assignment. SIGCSE (1) 2024: 736-742 - Yinglan Feng, Liang Feng, Songbai Liu, Sam Kwong, Kay Chen Tan:
Towards Multi-Objective High-Dimensional Feature Selection via Evolutionary Multitasking. CoRR abs/2401.01563 (2024) - Wenjing Chang, Kay Liu, Kaize Ding, Philip S. Yu, Jianjun Yu:
Multitask Active Learning for Graph Anomaly Detection. CoRR abs/2401.13210 (2024) - Fedor Borisyuk, Mingzhou Zhou, Qingquan Song, Siyu Zhu, Birjodh Tiwana, Ganesh Parameswaran, Siddharth Dangi, Lars Hertel, Qiang Charles Xiao, Xiaochen Hou, Yunbo Ouyang, Aman Gupta, Sheallika Singh, Dan Liu, Hailing Cheng, Lei Le, Jonathan Hung, S. Sathiya Keerthi, Ruoyan Wang, Fengyu Zhang, Mohit Kothari, Chen Zhu, Daqi Sun, Yun Dai, Xun Luan, Sirou Zhu, Zhiwei Wang, Neil Daftary, Qianqi Shen, Chengming Jiang, Haichao Wei, Maneesh Varshney, Amol Ghoting, Souvik Ghosh:
LiRank: Industrial Large Scale Ranking Models at LinkedIn. CoRR abs/2402.06859 (2024) - Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu:
Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction. CoRR abs/2402.08976 (2024) - Fedor Borisyuk, Shihai He, Yunbo Ouyang, Morteza Ramezani, Peng Du, Xiaochen Hou, Chengming Jiang, Nitin Pasumarthy, Priya Bannur, Birjodh Tiwana, Ping Liu, Siddharth Dangi, Daqi Sun, Zhoutao Pei, Xiao Shi, Sirou Zhu, Qianqi Shen, Kuang-Hsuan Lee, David Stein, Baolei Li, Haichao Wei, Amol Ghoting, Souvik Ghosh:
LiGNN: Graph Neural Networks at LinkedIn. CoRR abs/2402.11139 (2024) - Ping Liu, Haichao Wei, Xiaochen Hou, Jianqiang Shen, Shihai He, Kay Qianqi Shen, Zhujun Chen, Fedor Borisyuk, Daniel Hewlett, Liang Wu, Srikant Veeraraghavan, Alex Tsun, Chengming Jiang, Wenjing Zhang:
LinkSAGE: Optimizing Job Matching Using Graph Neural Networks. CoRR abs/2402.13430 (2024) - Jianqiang Shen, Yuchin Juan, Shaobo Zhang, Ping Liu, Wen Pu, Sriram Vasudevan, Qingquan Song, Fedor Borisyuk, Kay Qianqi Shen, Haichao Wei, Yunxiang Ren, Yeou S. Chiou, Sicong Kuang, Yuan Yin, Ben Zheng, Muchen Wu, Shaghayegh Gharghabi, Xiaoqing Wang, Huichao Xue, Qi Guo, Daniel Hewlett, Luke Simon, Liangjie Hong, Wenjing Zhang:
Learning to Retrieve for Job Matching. CoRR abs/2402.13435 (2024) - Qian Ma, Hongliang Chi, Hengrui Zhang, Kay Liu, Zhiwei Zhang, Lu Cheng, Suhang Wang, Philip S. Yu, Yao Ma:
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks. CoRR abs/2402.15680 (2024) - Fangxin Wang, Yuqing Liu, Kay Liu, Yibo Wang, Sourav Medya, Philip S. Yu:
Uncertainty in Graph Neural Networks: A Survey. CoRR abs/2403.07185 (2024) - Md Kaykobad Reza, S. M. Maksudul Alam, Yiran Luo, Youzhe Liu:
Model, Analyze, and Comprehend User Interactions and Various Attributes within a Social Media Platform. CoRR abs/2403.15937 (2024) - Zeyi Wang, Songbai Liu, Jianyong Chen, Kay Chen Tan:
Large Language Model-Aided Evolutionary Search for Constrained Multiobjective Optimization. CoRR abs/2405.05767 (2024) - 2023
- Zi Hao Liu, João M. C. Teixeira, Oufan Zhang, Thomas E. Tsangaris, Jie Li, Claudiu C. Gradinaru, Teresa Head-Gordon, Julie D. Forman-Kay:
Local Disordered Region Sampling (LDRS) for ensemble modeling of proteins with experimentally undetermined or low confidence prediction segments. Bioinform. 39(12) (2023)
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