| 2026 | ACL | Tree-Notebook: A Context-Aware Agent with Tree Search and Entropy-Aware Data Shadow for Interactive Data Science. | Junkun Qiu, Min Huang, Qinghai Miao |
| 2025 | EMNLP | Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data. | Zicheng Zhou, Min Huang, Qinghai Miao |
| 2025 | ICLR | Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining. | Jie Cheng, Ruixi Qiao, Yingwei Ma, Binhua Li, Gang Xiong, Qinghai Miao, Yongbin Li, Yisheng Lv |
| 2024 | COLING | DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer. | Wenxuan Zhang, Min Huang, Zhuoyang Song, Qinghai Miao |
| 2024 | ICML | RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences. | Jie Cheng, Gang Xiong, Xingyuan Dai, Qinghai Miao, Yisheng Lv, Fei-Yue Wang |
| 2024 | IJCNN | Mitigating Spurious Correlations in Named Entity Recognition Models Through Counterfactual Data Augmentation. | Jiawei Liu, Min Huang, Qinghai Miao |
| 2022 | IJCNN | Hybrid Attention-based Transformer for Long-range Document Classification. | Ruyu Qin, Min Huang, Jiawei Liu, Qinghai Miao |
| 2022 | MMM | Graph Neural Networks Based Multi-granularity Feature Representation Learning for Fine-Grained Visual Categorization. | Hongyan Wu, Haiyun Guo, Qinghai Miao, Min Huang, Jinqiao Wang |
| 2019 | ICIP | Pose-Weighted Gan for Photorealistic Face Frontalization. | Sufang Zhang, Qinghai Miao, Min Huang, Xiangyu Zhu, Yingying Chen, Zhen Lei, Jinqiao Wang |
| 2017 | ICIP | Deep embedding network for robust age estimation. | Yating He, Min Huang, Qinghai Miao, Haiyun Guo, Jinqiao Wang |