Yubo Gao

According to our database, Yubo Gao authored at least 15 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities.

Junyan Zhang, Yubo Gao, Yibo Yan, Jungang Li, Zhaorui Hou, Sicheng Tao, Shuliang Liu, Song Dai, Yonghua Hei, Junzhuo Li, Xuming Hu

CoRR, May, 2025

Do BERT-Like Bidirectional Models Still Perform Better on Text Classification in the Era of LLMs?

Junyan Zhang, Yiming Huang, Shuliang Liu, Yubo Gao, Xuming Hu

CoRR, May, 2025

PhysicsArena: The First Multimodal Physics Reasoning Benchmark Exploring Variable, Process, and Solution Dimensions.

Song Dai, Yibo Yan, Jiamin Su, Dongfang Zihao, Yubo Gao, Yonghua Hei, Jungang Li, Junyan Zhang, Sicheng Tao, Zhuoran Gao, Xuming Hu

CoRR, May, 2025

CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality.

Junyan Zhang, Shuliang Liu, Aiwei Liu, Yubo Gao, Jungang Li, Xiaojie Gu, Xuming Hu

CoRR, April, 2025

Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis.

Yubo Gao, Haotian Wu, Lei Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts.

Honghua Dong, Qidong Su, Yubo Gao, Zhaoyu Li, Yangjun Ruan, Gennady Pekhimenko, Chris J. Maddison, Xujie Si

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Proteus: Preserving Model Confidentiality during Graph Optimizations.

Yubo Gao, Maryam Haghifam, Christina Giannoula, Renbo Tu, Gennady Pekhimenko, Nandita Vijaykumar

Proceedings of the Seventh Annual Conference on Machine Learning and Systems, 2024

Improved Superpoint with Feature Transformer for Remote Sensing Image Registration.

Simeng Liu, Hao Chen, Yubo Gao

Proceedings of the IGARSS 2024, 2024

2023

MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation.

Haotian Wu, Yubo Gao

Proceedings of the Knowledge Science, Engineering and Management, 2023

TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation.

Yubo Gao, Haotian Wu

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Construction of Automatic Scheduling and Visualization System for Power Grid Space Operation Based on Reinforcement Learning Algorithm.

Xiaokang Zhu, Ning Wang, Biao Zou, Songtao Zhu, Teng Fang, Yubo Gao

Proceedings of the International Conference on Big Data Mining and Information Processing, 2023

2021

Computational Performance Predictions for Deep Neural Network Training: A Runtime-Based Approach.

Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko

CoRR, 2021

Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training.

Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

2020

Research on logistics distribution path optimization of fresh agricultural products under e-commerce background.

Ping Li, Yubo Gao, Rebecca Kechen Dong

Proceedings of the ISBDAI 2020, 2020

2019

VIKOR method for effect evaluation of ancient village landscape planning based on the heritage historical context under 2-tuple linguistic enviroment.

Weicheng Han, Yu Yao, Yubo Gao

J. Intell. Fuzzy Syst., 2019