| 2026 | ACL | RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models. | Zihang Liu, Zhouhua Fang, Hui Liu, Zhiwei Liu, Yong Li, Haishuai Wang |
| 2026 | ACL | HTMuon: Improving Muon via Heavy-Tailed Spectral Correction. | Tianyu Pang, Yujie Fang, Zihang Liu, Shenyang Deng, Lei Hsiung, Shuhua Yu, Yaoqing Yang |
| 2026 | PAKDD | MedGLM: Unifying Graph Neural Networks and Large Language Models for Knowledge Graph-Grounded Healthcare Prediction. | Tri Khang Ho, Linhao Luo, Zihang Liu, Haishuai Wang, Ling Chen |
| 2025 | ACL | Long-form Hallucination Detection with Self-elicitation. | Zihang Liu, Jiawei Guo, Hao Zhang, Hongyang Chen, Jiajun Bu, Haishuai Wang |
| 2025 | CHI | GeneyMAP: Designing GenAI-empowered User Journey Mapping Tool. | Yihan Mei, Zihang Liu, Shengyang Xu, Zhao Wu, Zhibin Zhou |
| 2025 | EMNLP | Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models. | Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao |
| 2025 | ICML | LIFT the Veil for the Truth: Principal Weights Emerge after Rank Reduction for Reasoning-Focused Supervised Fine-Tuning. | Zihang Liu, Tianyu Pang, Oleg Balabanov, Chaoqun Yang, Tianjin Huang, Lu Yin, Yaoqing Yang, Shiwei Liu |
| 2025 | IJCAI | Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution. | Zihang Liu, Zhenyu Zhang, Hao Tang |
| 2024 | EMNLP | Model Balancing Helps Low-data Training and Fine-tuning. | Zihang Liu, Yuanzhe Hu, Tianyu Pang, Yefan Zhou, Pu Ren, Yaoqing Yang |
| 2024 | KSEM | Multi-mode Spatial-Temporal Data Modeling with Fully Connected Networks. | Zihang Liu, Le Yu, Weimiao Li, Tongyu Zhu, Leilei Sun |
| 2023 | AAAI | Predicting Temporal Sets with Simplified Fully Connected Networks. | Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du, Weifeng Lv |
| 2020 | ICARCV | A residual network for de novo peptide sequencing with attention mechanism. | Zihang Liu, Chunhui Zhao |