Simiao Zuo

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Search Experience

Stackelberg Game

Query Rewriting

Top Venues

Publications

Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. ICLR (2024)
Xiao Liang, Xinyu Hu, Simiao Zuo, Yeyun Gong, Qiang Lou, Yi Liu, Shao-Lun Huang, Jian Jiao
Task Oriented In-Domain Data Augmentation. CoRR (2024)
Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. CoRR (2024)
Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CIKM (2023)
Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. ACL (industry) (2023)
Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing. CoRR (2023)
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
Machine Learning Force Fields with Data Cost Aware Training. CoRR (2023)
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. CoRR (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. CoRR (2023)
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
Machine Learning Force Fields with Data Cost Aware Training. ICML (2023)
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. NeurIPS (2023)
Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
Less is More: Task-aware Layer-wise Distillation for Language Model Compression. ICML (2023)
Simiao Zuo, Pengfei Tang, Xinyu Hu, Qiang Lou, Jian Jiao, Denis Charles
DeepTagger: Knowledge Enhanced Named Entity Recognition for Web-Based Ads Queries. CoRR (2023)
Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process. ICML (2023)
Simiao Zuo, Tianyi Liu, Tuo Zhao, Hongyuan Zha
Differentially Private Estimation of Hawkes Process. CoRR (2022)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao
Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR (2022)
Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. CoRR (2022)
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. CoRR (2022)
Qingru Zhang, Simiao Zuo, Chen Liang, Alexander Bukharin, Pengcheng He, Weizhu Chen, Tuo Zhao
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance. ICML (2022)
Simiao Zuo, Haoming Jiang, Qingyu Yin, Xianfeng Tang, Bing Yin, Tuo Zhao
DiP-GNN: Discriminative Pre-Training of Graph Neural Networks. CoRR (2022)
Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. NAACL-HLT (2022)
Simiao Zuo, Qingyu Yin, Haoming Jiang, Shaohui Xi, Bing Yin, Chao Zhang, Tuo Zhao
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites. CoRR (2022)
Simiao Zuo, Qingru Zhang, Chen Liang, Pengcheng He, Tuo Zhao, Weizhu Chen
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation. CoRR (2022)
Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao
Adversarially Regularized Policy Learning Guided by Trajectory Optimization. L4DC (2022)
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
Self-Training with Differentiable Teacher. NAACL-HLT (Findings) (2022)
Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
Less is More: Task-aware Layer-wise Distillation for Language Model Compression. CoRR (2022)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao
Taming Sparsely Activated Transformer with Stochastic Experts. ICLR (2022)
Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. ICLR (2022)
Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. CoRR (2021)
Chen Liang, Simiao Zuo, Minshuo Chen, Haoming Jiang, Xiaodong Liu, Pengcheng He, Tuo Zhao, Weizhu Chen
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization. ACL/IJCNLP (1) (2021)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. ICLR (2021)
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. NAACL-HLT (2021)
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
Self-Training with Differentiable Teacher. CoRR (2021)
Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao
Taming Sparsely Activated Transformer with Stochastic Experts. CoRR (2021)
Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
ARCH: Efficient Adversarial Regularized Training with Caching. CoRR (2021)
Zhigen Zhao, Simiao Zuo, Tuo Zhao, Ye Zhao
Adversarially Regularized Policy Learning Guided by Trajectory Optimization. CoRR (2021)
Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. CoRR (2021)
Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao
ARCH: Efficient Adversarial Regularized Training with Caching. EMNLP (Findings) (2021)
Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. EMNLP (1) (2021)
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
A Hypergradient Approach to Robust Regression without Correspondence. CoRR (2020)
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. CoRR (2020)
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
Transformer Hawkes Process. CoRR (2020)
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha
Transformer Hawkes Process. ICML (2020)
Qixing Huang, Zhenxiao Liang, Haoyun Wang, Simiao Zuo, Chandrajit Bajaj
Tensor maps for synchronizing heterogeneous shape collections. ACM Trans. Graph. 38 (4) (2019)
Simiao Zuo, Jialin Wu
Image Score: How to Select Useful Samples. CoRR (2018)