| 2026 | AAAI | MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy. | Shaoxiong Zhan, Yanlin Lai, Ziyu Lu, Dahua Lin, Ziqing Yang, Fei Tan |
| 2026 | ACL | HiGMem: A Hierarchical and LLM-Guided Memory System for Long-Term Conversational Agents. | Shuqi Cao, Jingyi He, Fei Tan |
| 2026 | ACL | Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF. | Yuan Fang, Yiming Luo, Aimin Zhou, Fei Tan |
| 2026 | ACL | Lost in Diffusion: Uncovering Hallucination Patterns and Failure Modes in Diffusion Large Language Models. | Zhengnan Guo, Fei Tan |
| 2026 | ACL | HACHIMI: Scalable and Controllable Student Persona Generation via Orchestrated Agents. | Yilin Jiang, Fei Tan, Xuanyu Yin, Jing Leng, Aimin Zhou |
| 2026 | ISCAS | A Discrete-Time Analog Compute Macro for Edge ML with 200 TOPS/W in CMOS 28nm. | Farzad T. Ordubadi, Michael Keyser, Fei Tan, Mahsa Shoaran, Armin Tajalli |
| 2025 | ACL | Consultant Decoding: Yet Another Synergistic Mechanism. | Chuanghao Ding, Jiaping Wang, Ziqing Yang, Xiaoliang Wang, Dahua Lin, Nguyen Cam-Tu, Fei Tan |
| 2025 | ACL | daDPO: Distribution-Aware DPO for Distilling Conversational Abilities. | Zhengze Zhang, Shiqi Wang, Yiqun Shen, Simin Guo, Dahua Lin, Xiaoliang Wang, Cam-Tu Nguyen, Fei Tan |
| 2025 | EMNLP | ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning. | Yiming Du, Yifan Xiang, Bin Liang, Dahua Lin, Kam-Fai Wong, Fei Tan |
| 2025 | EMNLP | More Data or Better Data? A Critical Analysis of Data Selection and Synthesis for Mathematical Reasoning. | Yike Zhao, Simin Guo, Ziqing Yang, Shifan Han, Dahua Lin, Fei Tan |
| 2024 | ACL | Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model. | Hengyuan Zhang, Yanru Wu, Dawei Li, Sak Yang, Rui Zhao, Yong Jiang, Fei Tan |
| 2024 | COLING | SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning. | Dongsheng Zhu, Zhenyu Mao, Jinghui Lu, Rui Zhao, Fei Tan |
| 2024 | EMNLP | Reward Difference Optimization For Sample Reweighting In Offline RLHF. | Shiqi Wang, Zhengze Zhang, Rui Zhao, Fei Tan, Cam-Tu Nguyen |
| 2024 | EMNLP | CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models. | Jiawei Gu, Zacc Yang, Chuanghao Ding, Rui Zhao, Fei Tan |
| 2023 | AAAI | PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. | Jinghui Lu, Rui Zhao, Brian Mac Namee, Fei Tan |
| 2023 | ACL | Deeply Coupled Cross-Modal Prompt Learning. | Xuejing Liu, Wei Tang, Jinghui Lu, Rui Zhao, Zhaojun Guo, Fei Tan |
| 2023 | ACL | CWSeg: An Efficient and General Approach to Chinese Word Segmentation. | Dedong Li, Rui Zhao, Fei Tan |
| 2023 | ACL | What Makes Pre-trained Language Models Better Zero-shot Learners? | Jinghui Lu, Dongsheng Zhu, Weidong Han, Rui Zhao, Brian Mac Namee, Fei Tan |
| 2021 | EMNLP | BERT-Beta: A Proactive Probabilistic Approach to Text Moderation. | Fei Tan, Yifan Hu, Kevin Yen, Changwei Hu |
| 2020 | AAAI | DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. | Chaoran Cheng, Fei Tan, Zhi Wei |
| 2020 | EMNLP | Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. | Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen |
| 2020 | EMNLP | TNT: Text Normalization based Pre-training of Transformers for Content Moderation. | Fei Tan, Yifan Hu, Changwei Hu, Keqian Li, Kevin Yen |
| 2020 | EMNLP | HABERTOR: An Efficient and Effective Deep Hatespeech Detector. | Thanh Tran, Yifan Hu, Changwei Hu, Kevin Yen, Fei Tan, Kyumin Lee, Se Rim Park |
| 2019 | ICDM | User Response Driven Content Understanding with Causal Inference. | Fei Tan, Zhi Wei, Abhishek Pani, Zhenyu Yan |
| 2019 | IJCAI | Success Prediction on Crowdfunding with Multimodal Deep Learning. | Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei |
| 2019 | PG | 3D Human Body Skeleton Extraction from Consecutive Surfaces. | Yong Zhang, Fei Tan, Shaofan Wang, Dehui Kong, Baocai Yin |
| 2018 | ICDM | A Blended Deep Learning Approach for Predicting User Intended Actions. | Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan |
| 2018 | SDM | Modeling Item-specific Effects for Video Click. | Fei Tan, Kuang Du, Zhi Wei, Haoran Liu, Chenguang Qin, Ran Zhu |
| 2017 | ICDM | Time-Aware Latent Hierarchical Model for Predicting House Prices. | Fei Tan, Chaoran Cheng, Zhi Wei |
| 2016 | ICDM | Modeling Real Estate for School District Identification. | Fei Tan, Chaoran Cheng, Zhi Wei |
| 2011 | ADMA | Generating Syntactic Tree Templates for Feature-Based Opinion Mining. | Liang Wu, Yuanchun Zhou, Fei Tan, Fenglei Yang, Jianhui Li |