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Yifeng Luo
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2020 – today
- 2024
- [j13]Zelin Ying, Dawei Cheng, Cen Chen, Xiang Li, Peng Zhu, Yifeng Luo, Yuqi Liang:
Predicting stock market trends with self-supervised learning. Neurocomputing 568: 127033 (2024) - [c18]Yifeng Luo, Yupeng Li, Dacheng Wen, Liang Lan:
Message Injection Attack on Rumor Detection under the Black-Box Evasion Setting Using Large Language Model. WWW 2024: 4512-4522 - 2023
- [j12]Xi Zhu, Yoojean Kim, Orren Ravid, Xiaofu He, Benjamin Suarez-Jimenez, Sigal Zilcha-Mano, Amit Lazarov, Seonjoo Lee, Chadi G. Abdallah, Michael Angstadt, Christopher L. Averill, C. Lexi Baird, Lee Baugh, Jennifer Urbano Blackford, Jessica Bomyea, Steven E. Bruce, Richard A. Bryant, Zhihong Cao, Kyle Choi, Josh M. Cisler, Andrew S. Cotton, Judith K. Daniels, Nicholas D. Davenport, Richard J. Davidson, Michael D. De Bellis, Emily L. Dennis, Maria Densmore, Terri A. deRoon-Cassini, Seth G. Disner, Wissam El-Hage, Amit Etkin, Negar Fani, Kelene A. Fercho, Jacklynn M. Fitzgerald, Gina L. Forster, Jessie L. Frijling, Elbert Geuze, Atilla Gonenc, Evan M. Gordon, Staci Gruber, Daniel W. Grupe, Jeffrey P. Guenette, Courtney C. Haswell, Ryan J. Herringa, Julia Herzog, David Bernd Hofmann, Bobak Hosseini, Anna R. Hudson, Ashley A. Huggins, Jonathan C. Ipser, Neda Jahanshad, Meilin Jia-Richards, Tanja Jovanovic, Milissa L. Kaufman, Mitzy Kennis, Anthony King, Philipp Kinzel, Saskia B. J. Koch, Inga Koerte, Sheri-Michelle Koopowitz, Mayuresh S. Korgaonkar, John H. Krystal, Ruth A. Lanius, Christine L. Larson, Lauren A. M. Lebois, Gen Li, Israel Liberzon, Guang Ming Lu, Yifeng Luo, Vincent A. Magnotta, Antje Manthey, Adi Maron-Katz, Geoffery May, Katie A. McLaughlin, Sven C. Mueller, Laura Nawijn, Steven M. Nelson, Richard W. J. Neufeld, Jack B. Nitschke, Erin O'Leary, Bunmi O. Olatunji, Miranda Olff, Matthew Peverill, K. Luan Phan, Rongfeng Qi, Yann Quidé, Ivan Rektor, Kerry J. Ressler, Pavel Riha, Marisa Ross, Isabelle M. Rosso, Lauren E. Salminen, Kelly A. Sambrook, Christian Schmahl, Martha Elizabeth Shenton, Margaret A. Sheridan, Chiahao Shih, Maurizio Sicorello, Anika Sierk, Alan N. Simmons, Raluca M. Simons, Jeffrey S. Simons, Scott R. Sponheim, Murray B. Stein, Dan J. Stein, Jennifer S. Stevens, Thomas Straube, Delin Sun, Jean Théberge, Paul M. Thompson, Sophia I. Thomopoulos, Nic J. A. van der Wee, Steven J. A. van der Werff, Theo G. M. van Erp, Sanne J. H. van Rooij, Mirjam van Zuiden, Tim Varkevisser, Dick J. Veltman, Robert R. J. M. Vermeiren, Henrik Walter, Li Wang, Xin Wang, Carissa N. Weis, Sherry Winternitz, Hong Xie, Ye Zhu, Melanie Wall, Yuval Neria, Rajendra A. Morey:
Neuroimaging-based classification of PTSD using data-driven computational approaches: A multisite big data study from the ENIGMA-PGC PTSD consortium. NeuroImage 283: 120412 (2023) - [j11]Yibo Yan, Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo:
Adversarial Multi-task Learning for Efficient Chinese Named Entity Recognition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(7): 193:1-193:19 (2023) - [c17]Haoli Bai, Zhiguang Liu, Xiaojun Meng, Wentao Li, Shuang Liu, Yifeng Luo, Nian Xie, Rongfu Zheng, Liangwei Wang, Lu Hou, Jiansheng Wei, Xin Jiang, Qun Liu:
Wukong-Reader: Multi-modal Pre-training for Fine-grained Visual Document Understanding. ACL (1) 2023: 13386-13401 - 2022
- [j10]Peng Zhu, Dawei Cheng, Siqiang Luo, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
SI-News: Integrating social information for news recommendation with attention-based graph convolutional network. Neurocomputing 494: 33-42 (2022) - [j9]Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Dingjiang Huang, Weining Qian, Aoying Zhou:
Improving Chinese Named Entity Recognition by Large-Scale Syntactic Dependency Graph. IEEE ACM Trans. Audio Speech Lang. Process. 30: 979-991 (2022) - [j8]Peng Zhu, Dawei Cheng, Siqiang Luo, Ruyao Xu, Yuqi Liang, Yifeng Luo:
Leveraging enterprise knowledge graph to infer web events' influences via self-supervised learning. J. Web Semant. 74: 100722 (2022) - [c16]Moming Tang, Dawei Cheng, Cen Chen, Yuqi Liang, Yifeng Luo, Weining Qian:
TaskSum: Task-Driven Extractive Text Summarization for Long News Documents Based on Reinforcement Learning. DASFAA (3) 2022: 306-313 - [c15]Ruyao Xu, Dawei Cheng, Cen Chen, Siqiang Luo, Yifeng Luo, Weining Qian:
Multi-scale Time Based Stock Appreciation Ranking Prediction via Price Co-movement Discrimination. DASFAA (3) 2022: 455-467 - 2021
- [c14]Xueni Luo, Dawei Cheng, Haorui Ma, Junhao Wang, Mengzhen Fan, Yifeng Luo:
Leveraging Domain Information to Classify Financial Documents via Unsupervised Graph Momentum Contrast. CIKM 2021: 3298-3302 - [c13]Peng Zhu, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
ZH-NER: Chinese Named Entity Recognition with Adversarial Multi-task Learning and Self-Attentions. DASFAA (2) 2021: 603-611 - 2020
- [j7]Jiaxun Hua, Yu Liu, Yibin Shen, Xiuxia Tian, Yifeng Luo, Cheqing Jin:
A privacy-enhancing scheme against contextual knowledge-based attacks in location-based services. Frontiers Comput. Sci. 14(3): 143605 (2020) - [c12]Mengzhen Fan, Dawei Cheng, Fangzhou Yang, Siqiang Luo, Yifeng Luo, Weining Qian, Aoying Zhou:
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents. CIKM 2020: 2413-2420 - [c11]Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou:
F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification. IJCAI 2020: 4490-4496
2010 – 2019
- 2019
- [j6]Li Cai, Bingyu Zhu, Yifeng Luo, Shuigeng Zhou:
Interactive map matching and its visualisation: techniques and system. Int. J. Embed. Syst. 11(3): 340-351 (2019) - 2018
- [j5]Yifeng Luo, Junshi Guo, Jiaye Zhu, Jihong Guan, Shuigeng Zhou:
Towards efficiently supporting database as a service with QoS guarantees. J. Syst. Softw. 139: 51-63 (2018) - [c10]Yifeng Luo, Junshi Guo, Shuigeng Zhou:
EarnCache: Self-adaptive Incremental Caching for Big Data Applications. APWeb/WAIM (2) 2018: 379-393 - 2017
- [c9]Yifeng Luo, Junshi Guo, Jiaye Zhu, Jihong Guan, Shuigeng Zhou:
Supporting Cost-Efficient Multi-tenant Database Services with Service Level Objectives (SLOs). DASFAA (1) 2017: 592-606 - [c8]Jia Shi, Yifeng Luo, Shuigeng Zhou, Jihong Guan:
A Graph Matching Based Method for Dynamic Passenger-Centered Ridesharing. DEXA (1) 2017: 49-64 - [c7]Yifeng Luo, Jia Shi, Shuigeng Zhou:
JeCache: Just-Enough Data Caching with Just-in-Time Prefetching for Big Data Applications. ICDCS 2017: 2405-2410 - 2016
- [j4]Cunqing Hua, Yifeng Luo, Huibo Liu:
Wireless backhaul resource allocation and user-centric clustering in ultra-dense wireless networks. IET Commun. 10(15): 1858-1864 (2016) - [c6]Huibo Liu, Cunqing Hua, Yifeng Luo:
Sparse multicast beamforming for ultra-dense networks with wireless backhaul. ICCC 2016: 1-6 - [c5]Yifeng Luo, Cunqing Hua:
Resource allocation and user-centric clustering in ultra-dense networks with wireless backhaul. WCSP 2016: 1-5 - 2015
- [j3]Yifeng Luo, Shuigeng Zhou, Jihong Guan:
LAYER: A cost-efficient mechanism to support multi-tenant database as a service in cloud. J. Syst. Softw. 101: 86-96 (2015) - 2014
- [c4]Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan:
Distributed Spatial Keyword Querying on Road Networks. EDBT 2014: 235-246 - 2013
- [j2]Yifeng Luo, Siqiang Luo, Jihong Guan, Shuigeng Zhou:
A RAMCloud Storage System based on HDFS: Architecture, implementation and evaluation. J. Syst. Softw. 86(3): 744-750 (2013) - 2012
- [j1]Siqiang Luo, Yifeng Luo, Shuigeng Zhou, Gao Cong, Jihong Guan:
DISKs: A System for Distributed Spatial Group Keyword Search on Road Networks. Proc. VLDB Endow. 5(12): 1966-1969 (2012) - 2011
- [c3]Yifeng Luo, Jihong Guan, Shuigeng Zhou:
Towards Efficient Subgraph Search in Cloud Computing Environments. DASFAA Workshops 2011: 2-13
2000 – 2009
- 2007
- [c2]Jiwu Shu, Yang Wang, Wei Xue, Yifeng Luo:
An Efficient SAN-Level Caching Method Based on Chunk-Aging. IEEE NAS 2007: 177-184 - 2006
- [c1]Yifeng Luo, Jiwu Shu, Bing Yu, Dongchan Wen:
A Cache System Hosted on the iSCSI Target in an IP SAN. GCC Workshops 2006: 412-418
Coauthor Index
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