Modeling Real Estate for School District Identification. - Fei Tan 002; Chaoran Cheng; Zhi Wei 001 (ICDM, 2016)

Time-Aware Latent Hierarchical Model for Predicting House Prices. - Fei Tan 002; Chaoran Cheng; Zhi Wei 001 (ICDM, 2017)

A Blended Deep Learning Approach for Predicting User Intended Actions. - Fei Tan 002; Zhi Wei 001; Jun He; Xiang Wu; Bo Peng; Haoran Liu; Zhenyu Yan 001 (ICDM, 2018)

Modeling Item-specific Effects for Video Click. - Fei Tan 002; Kuang Du; Zhi Wei 001; Haoran Liu; Chenguang Qin; Ran Zhu (SDM, 2018)

User Response Driven Content Understanding with Causal Inference. - Fei Tan 002; Zhi Wei 001; Abhishek Pani; Zhenyu Yan 001 (ICDM, 2019)

Success Prediction on Crowdfunding with Multimodal Deep Learning. - Chaoran Cheng; Fei Tan 002; Xiurui Hou; Zhi Wei 001 (IJCAI, 2019)

Modeling and elucidation of housing price. - Fei Tan 002; Chaoran Cheng; Zhi Wei 001 (Data Min. Knowl. Discov., 2019)

A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending. - Fei Tan 002; Xiurui Hou; Jie Zhang 049; Zhi Wei 001; Zhenyu Yan 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. - Chaoran Cheng; Fei Tan 002; Zhi Wei 001 (AAAI, 2020)

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. - Bang An 001; Jie Lyu 004; Zhenyi Wang 001; Chunyuan Li; Changwei Hu; Fei Tan 002; Ruiyi Zhang 002; Yifan Hu 001; Changyou Chen (EMNLP (1), 2020)

TNT: Text Normalization based Pre-training of Transformers for Content Moderation. - Fei Tan 002; Yifan Hu 001; Changwei Hu; Keqian Li; Kevin Yen (EMNLP (1), 2020)

HABERTOR: An Efficient and Effective Deep Hatespeech Detector. - Thanh Tran 005; Yifan Hu 001; Changwei Hu; Kevin Yen; Fei Tan 002; Kyumin Lee; Se Rim Park (EMNLP (1), 2020)

Elucidation of DNA methylation on N6-adenine with deep learning. - Fei Tan 002; Tian Tian; Xiurui Hou; Xiang Yu; Lei Gu; Fernanda Mafra; Brian D. Gregory; Zhi Wei 001; Hakon Hakonarson (Nat. Mach. Intell., 2020)

Hadoop-MTA: a system for Multi Data-center Trillion Concepts Auto-ML atop Hadoop. - Keqian Li; Yifan Hu 001; Manisha Verma; Fei Tan 002; Changwei Hu; Tejaswi Kasturi; Kevin Yen (IEEE BigData, 2021)

BERT-Beta: A Proactive Probabilistic Approach to Text Moderation. - Fei Tan 002; Yifan Hu 001; Kevin Yen; Changwei Hu (EMNLP (1), 2021)

MetaCon: Unified Predictive Segments System with Trillion Concept Meta-Learning. - Keqian Li; Yifan Hu 001; Logan Palanisamy; Lisa Jones; Akshay Gupta; Jason Grigsby; Ili Selinger; Matt Gillingham; Fei Tan 002 (CoRR, 2022)

What Makes Pre-trained Language Models Better Zero/Few-shot Learners? - Jinghui Lu; Rui Zhao; Brian Mac Namee; Dongsheng Zhu; Weidong Han 002; Fei Tan 002 (CoRR, 2022)

PUnifiedNER: A Prompting-Based Unified NER System for Diverse Datasets. - Jinghui Lu; Rui Zhao; Brian Mac Namee; Fei Tan 002 (AAAI, 2023)

CWSeg: An Efficient and General Approach to Chinese Word Segmentation. - Dedong Li; Rui Zhao; Fei Tan 002 (ACL (industry), 2023)

Deeply Coupled Cross-Modal Prompt Learning. - Xuejing Liu; Wei Tang 011; Jinghui Lu; Rui Zhao; Zhaojun Guo; Fei Tan 002 (ACL (Findings), 2023)

What Makes Pre-trained Language Models Better Zero-shot Learners? - Jinghui Lu; Dongsheng Zhu; Weidong Han 002; Rui Zhao; Brian Mac Namee; Fei Tan 002 (ACL (1), 2023)

What Large Language Models Bring to Text-rich VQA? - Xuejing Liu; Wei Tang 011; Xinzhe Ni; Jinghui Lu; Rui Zhao; Zechao Li; Fei Tan 002 (CoRR, 2023)

MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation. - Fei Tan 002; Changwei Hu; Yifan Hu 001; Kevin Yen; Zhi Wei 001; Aasish Pappu; Serim Park; Keqian Li (IEEE Trans. Neural Networks Learn. Syst., 2023)

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 002 (ACL (Findings), 2024)

SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning. - Dongsheng Zhu; Zhenyu Mao; Jinghui Lu; Rui Zhao; Fei Tan 002 (LREC/COLING, 2024)

Reward Difference Optimization For Sample Reweighting In Offline RLHF. - Shiqi Wang 003; Zhengze Zhang; Rui Zhao; Fei Tan 002; Cam-Tu Nguyen (EMNLP (Findings), 2024)

CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models. - Jiawei Gu; Zacc Yang; Chuanghao Ding; Rui Zhao; Fei Tan 002 (EMNLP, 2024)

Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model. - Hengyuan Zhang; Yanru Wu; Dawei Li; Zacc Yang; Rui Zhao; Yong Jiang; Fei Tan 002 (CoRR, 2024)

What Makes Good Few-shot Examples for Vision-Language Models? - Zhaojun Guo; Jinghui Lu; Xuejing Liu; Rui Zhao; Zhenxing Qian; Fei Tan 002 (CoRR, 2024)

SimCT: A Simple Consistency Test Protocol in LLMs Development Lifecycle. - Fufangchen Zhao; Guoqiang Jin; Rui Zhao; Jiangheng Huang; Fei Tan 002 (CoRR, 2024)

Offline RLHF Methods Need More Accurate Supervision Signals. - Shiqi Wang 003; Zhengze Zhang; Rui Zhao; Fei Tan 002; Cam-Tu Nguyen (CoRR, 2024)

SynthDoc: Bilingual Documents Synthesis for Visual Document Understanding. - Chuanghao Ding; Xuejing Liu; Wei Tang 011; Juan Li; Xiaoliang Wang 001; Rui Zhao; Cam-Tu Nguyen; Fei Tan 002 (CoRR, 2024)

Consultant Decoding: Yet Another Synergistic Mechanism. - Chuanghao Ding; Jiaping Wang; Ziqing Yang 006; Xiaoliang Wang 001; Dahua Lin; Nguyen Cam-Tu; Fei Tan 002 (ACL (Findings), 2025)

daDPO: Distribution-Aware DPO for Distilling Conversational Abilities. - Zhengze Zhang; Shiqi Wang 003; Yiqun Shen; Simin Guo; Dahua Lin; Xiaoliang Wang 001; Cam-Tu Nguyen; Fei Tan 002 (ACL (Findings), 2025)

Consultant Decoding: Yet Another Synergistic Mechanism. - Chuanghao Ding; Jiaping Wang; Ziqing Yang 006; Xiaoliang Wang 001; Dahua Lin; Cam-Tu Nguyen; Fei Tan 002 (CoRR, 2025)