Image Score: How to Select Useful Samples. - Simiao Zuo; Jialin Wu (CoRR, 2018)

Tensor maps for synchronizing heterogeneous shape collections. - Qixing Huang; Zhenxiao Liang; Haoyun Wang; Simiao Zuo; Chandrajit Bajaj (ACM Trans. Graph., 2019)

Transformer Hawkes Process. - Simiao Zuo; Haoming Jiang; Zichong Li; Tuo Zhao; Hongyuan Zha (ICML, 2020)

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. - Chen Liang 006; Simiao Zuo; Minshuo Chen; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Tuo Zhao; Weizhu Chen (ACL/IJCNLP (1), 2021)

ARCH: Efficient Adversarial Regularized Training with Caching. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (EMNLP (Findings), 2021)

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (EMNLP (1), 2021)

A Hypergradient Approach to Robust Regression without Correspondence. - Yujia Xie; Yixiu Mao; Simiao Zuo; Hongteng Xu; Xiaojing Ye; Tuo Zhao; Hongyuan Zha (ICLR, 2021)

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. - Yue Yu 001; Simiao Zuo; Haoming Jiang; Wendi Ren; Tuo Zhao; Chao Zhang 014 (NAACL-HLT, 2021)

Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. - Simiao Zuo; Chen Liang 006; Haoming Jiang; Xiaodong Liu 003; Pengcheng He; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (CoRR, 2021)

No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. - Chen Liang 006; Haoming Jiang; Simiao Zuo; Pengcheng He; Xiaodong Liu 003; Jianfeng Gao 001; Weizhu Chen; Tuo Zhao (ICLR, 2022)

Taming Sparsely Activated Transformer with Stochastic Experts. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Young Jin Kim 001; Hany Hassan; Ruofei Zhang; Jianfeng Gao 001; Tuo Zhao (ICLR, 2022)

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. - Qingru Zhang; Simiao Zuo; Chen Liang 006; Alexander Bukharin; Pengcheng He; Weizhu Chen; Tuo Zhao (ICML, 2022)

Adversarially Regularized Policy Learning Guided by Trajectory Optimization. - Zhigen Zhao; Simiao Zuo; Tuo Zhao; Ye Zhao 002 (L4DC, 2022)

Self-Training with Differentiable Teacher. - Simiao Zuo; Yue Yu 001; Chen Liang 006; Haoming Jiang; Siawpeng Er; Chao Zhang 014; Tuo Zhao; Hongyuan Zha (NAACL-HLT (Findings), 2022)

MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. - Simiao Zuo; Qingru Zhang; Chen Liang 006; Pengcheng He; Tuo Zhao; Weizhu Chen (NAACL-HLT, 2022)

Differentially Private Estimation of Hawkes Process. - Simiao Zuo; Tianyi Liu; Tuo Zhao; Hongyuan Zha (CoRR, 2022)

DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. - Simiao Zuo; Haoming Jiang; Qingyu Yin; Xianfeng Tang; Bing Yin; Tuo Zhao (CoRR, 2022)

Efficient Long Sequence Modeling via State Space Augmented Transformer. - Simiao Zuo; Xiaodong Liu 003; Jian Jiao 007; Denis Charles; Eren Manavoglu; Tuo Zhao; Jianfeng Gao 001 (CoRR, 2022)

Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. - Simiao Zuo; Qingyu Yin; Haoming Jiang; Shaohui Xi; Bing Yin; Chao Zhang 014; Tuo Zhao (ACL (industry), 2023)

DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. - Simiao Zuo; Pengfei Tang; Xinyu Hu; Qiang Lou; Jian Jiao 007; Denis Charles (CIKM, 2023)

Machine Learning Force Fields with Data Cost Aware Training. - Alexander Bukharin; Tianyi Liu; Shengjie Wang; Simiao Zuo; Weihao Gao; Wen Yan; Tuo Zhao (ICML, 2023)

SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. - Zichong Li; Yanbo Xu; Simiao Zuo; Haoming Jiang; Chao Zhang; Tuo Zhao; Hongyuan Zha (ICML, 2023)

Less is More: Task-aware Layer-wise Distillation for Language Model Compression. - Chen Liang 006; Simiao Zuo; Qingru Zhang; Pengcheng He; Weizhu Chen; Tuo Zhao (ICML, 2023)

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. - Alexander Bukharin; Yan Li; Yue Yu 001; Qingru Zhang; Zhehui Chen; Simiao Zuo; Chao Zhang 014; Songan Zhang; Tuo Zhao (NeurIPS, 2023)

On Training, Inference, and Sample Efficiencies of Language Models. - Simiao Zuo (2023)

Task Oriented In-Domain Data Augmentation. - Xiao Liang; Xinyu Hu; Simiao Zuo; Yeyun Gong; Qiang Lou; Yi Liu; Shao-Lun Huang; Jian Jiao (EMNLP, 2024)

Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. - Xinyu Hu; Pengfei Tang; Simiao Zuo; Zihan Wang; Bowen Song; Qiang Lou; Jian Jiao 007; Denis Charles (ICLR, 2024)

Task Oriented In-Domain Data Augmentation. - Xiao Liang; Xinyu Hu; Simiao Zuo; Yeyun Gong; Qiang Lou; Yi Liu; Shao-Lun Huang; Jian Jiao 007 (CoRR, 2024)

Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. - Yanda Chen; Chandan Singh; Xiaodong Liu 003; Simiao Zuo; Bin Yu 001; He He 001; Jianfeng Gao 001 (COLING, 2025)