| 2026 | ACL | Thinking Economically: A Hierarchical Framework for Adaptive-Complexity Reasoning in LLMs. | Yubo Gao, Haotian Wu, Hong Chen, Junquan Huang, Yibo Yan, Jungang Li, Zihao Dongfang, Sicheng Tao, Puay Siew Tan, Jie Zhang, Xuming Hu |
| 2025 | ACL | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | ICASSP | Multi-level Conflict-Aware Network for Multi-modal Sentiment Analysis. | Yubo Gao, Haotian Wu, Lei Zhang |
| 2024 | IGARSS | Improved Superpoint with Feature Transformer for Remote Sensing Image Registration. | Simeng Liu, Hao Chen, Yubo Gao |
| 2023 | ICTAI | TDCGL: Two-Level Debiased Contrastive Graph Learning for Recommendation. | Yubo Gao, Haotian Wu |
| 2023 | KSEM | MT-BICN: Multi-task Balanced Information Cascade Network for Recommendation. | Haotian Wu, Yubo Gao |
| 2021 | USENIX | Habitat: A Runtime-Based Computational Performance Predictor for Deep Neural Network Training. | Geoffrey X. Yu, Yubo Gao, Pavel Golikov, Gennady Pekhimenko |