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ORCIDAI Open, Volume 5
Volume 5, 2024
- Zhouxiang Fang, Min Yu, Zhendong Fu, Boning Zhang, Xuanwen Huang, Xiaoqi Tang, Yang Yang:
How to generate popular post headlines on social media? 1-9 - Meshach Kumar
, Utkal Mehta, Giansalvo Cirrincione:
Enhancing neural network classification using fractional-order activation functions. 10-22 - Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei:
PM2.5 forecasting under distribution shift: A graph learning approach. 23-29 - Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for pre-trained vision-language models. 30-38 - Long Ding, Chunping Ouyang, Yongbin Liu, Zhihua Tao, Yaping Wan, Zheng Gao:
Few-shot Named Entity Recognition via encoder and class intervention. 39-45 - Zongtao Liu, Wei Dong, Chaoliang Wang, Haoqingzi Shen, Gang Sun, Qun jiang, Quanjin Tao, Yang Yang:
Boosting graph search with attention network for solving the general orienteering problem. 46-54 - Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard, Weronika Lajewska, Trond Linjordet:
An ecosystem for personal knowledge graphs: A survey and research roadmap. 55-69 - Kun Zhang, Dacao Zhang, Le Wu, Richang Hong, Ye Zhao, Meng Wang:
Label-aware debiased causal reasoning for Natural Language Inference. 70-78 - Qi Zhang, Cheng Yang, Chuan Shi:
Adaptive negative representations for graph contrastive learning. 79-86 - Yizhe Yang, Huashan Sun, Jiawei Li, Runheng Liu, Yinghao Li, Yuhang Liu, Yang Gao, Heyan Huang:
MindLLM: Lightweight large language model pre-training, evaluation and domain application. 1-26 - Gustavo Viera-López, Jorge J. Morgado-Vega, Alfredo Reyes, Ernesto Altshuler, Yudivián Almeida-Cruz, Giorgio Manganini:
Improving trajectory classification through Kramers-Moyal coefficients. 87-93 - Zhonghui Shao, Jing Zhang, Haoyang Li, Xinmei Huang, Chao Zhou, Yuanchun Wang, Jibing Gong, Cuiping Li, Hong Chen:
Authorship style transfer with inverse transfer data augmentation. 94-103 - Chenyang Song, Zheni Zeng, Changyao Tian, Kuai Li, Yuan Yao, Suncong Zheng, Zhiyuan Liu, Maosong Sun:
Relation-aware deep neural network enables more efficient biomedical knowledge acquisition from massive literature. 104-114 - Van-Truong Hoang, Khanh-Tung Tran, Xuan-Son Vu, Duy-Khuong Nguyen, Monowar H. Bhuyan, Hoang D. Nguyen:
Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves. 115-125 - Qisai Liu, Xian Yeow Lee, Soumik Sarkar:
A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations. 126-141 - Kui Qian, Beth Friedman, Jun Takatoh, Alexander Groisman, Fan Wang, David Kleinfeld, Yoav Freund:
CellBoost: A pipeline for machine assisted annotation in neuroanatomy. 142-154 - Jinqi Lai, Wensheng Gan, Jiayang Wu, Zhenlian Qi, Philip S. Yu:
Large language models in law: A survey. 181-196 - Adikarige Randil Sanjeewa Madanayake, Kyungmi Lee, Ickjai Lee:
Mining contacts from spatio-temporal trajectories. 197-207 - Xiao Liu, Yanan Zheng, Zhengxiao Du, Ming Ding, Yujie Qian, Zhilin Yang, Jie Tang:
GPT understands, too. 208-215 - Sofiane Ennadir, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Generating graph perturbations to enhance the generalization of GNNs. 216-223
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