Hengzhi Pei

According to our database, Hengzhi Pei authored at least 15 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TextGuard: Provable Defense against Backdoor Attacks on Text Classification.

Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song

CoRR, 2023

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models.

Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Zero-Shot Classification by Logical Reasoning on Natural Language Explanations.

Chi Han, Hengzhi Pei, Xinya Du, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion.

Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.

Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li

CoRR, 2022

Improving Certified Robustness via Statistical Learning with Logical Reasoning.

Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Towards Generating Real-World Time Series Data.

Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines.

Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang

CoRR, 2020

Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States.

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li

CoRR, 2020

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack.

Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder.

Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks.

Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States.

Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

AdvCodec: Towards A Unified Framework for Adversarial Text Generation.

Boxin Wang, Hengzhi Pei, Han Liu, Bo Li

CoRR, 2019

Multi-Criteria Chinese Word Segmentation with Transformer.

Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang

CoRR, 2019