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2020 – today
- 2024
[c11]Dingmin Wang, Jinman Zhao, Hengzhi Pei, Samson Tan, Sheng Zha:
Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs. ACL (Findings) 2024: 15854-15868- [c10]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. NDSS 2024 - 2023
- [c9]Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis:
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. AAAI 2023: 5230-5238 - [c8]Chi Han, Hengzhi Pei, Xinya Du, Heng Ji:
Zero-Shot Classification by Logical Reasoning on Natural Language Explanations. ACL (Findings) 2023: 8967-8981 - [c7]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:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. NeurIPS 2023 - [i11]Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis:
Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion. CoRR abs/2306.00381 (2023) - [i10]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:
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. CoRR abs/2306.11698 (2023) - [i9]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR abs/2311.11225 (2023) - 2022
- [c6]Zhuolin Yang, Zhikuan Zhao, Boxin Wang, Jiawei Zhang, Linyi Li, Hengzhi Pei, Bojan Karlas, Ji Liu, Heng Guo, Ce Zhang, Bo Li:
Improving Certified Robustness via Statistical Learning with Logical Reasoning. NeurIPS 2022 - [i8]Yezhen Wang, Tong Che, Bo Li, Kaitao Song, Hengzhi Pei, Yoshua Bengio, Dongsheng Li:
Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One. CoRR abs/2206.12840 (2022) - [i7]Chi Han, Hengzhi Pei, Xinya Du, Heng Ji:
Zero-Shot Classification by Logical Reasoning on Natural Language Explanations. CoRR abs/2211.03252 (2022) - 2021
- [c5]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. ICDM 2021: 469-478 - [i6]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. CoRR abs/2111.08386 (2021) - 2020
- [c4]Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Ju Xiao, Bo Li:
Reinforcement-Learning Based Portfolio Management with Augmented Asset Movement Prediction States. AAAI 2020: 1112-1119 - [c3]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CVPR 2020: 250-258 - [c2]Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang:
A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder. EMNLP (Findings) 2020: 2887-2897 - [c1]Boxin Wang, Hengzhi Pei, Boyuan Pan, Qian Chen, Shuohang Wang, Bo Li:
T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack. EMNLP (1) 2020: 6134-6150 - [i5]Yunan Ye, Hengzhi Pei, Boxin Wang, Pin-Yu Chen, Yada Zhu, Jun Xiao, Bo Li:
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States. CoRR abs/2002.05780 (2020) - [i4]Zhuolin Yang, Zhikuan Zhao, Hengzhi Pei, Boxin Wang, Bojan Karlas, Ji Liu, Heng Guo, Bo Li, Ce Zhang:
End-to-end Robustness for Sensing-Reasoning Machine Learning Pipelines. CoRR abs/2003.00120 (2020)
2010 – 2019
- 2019
- [i3]Xipeng Qiu, Hengzhi Pei, Hang Yan, Xuanjing Huang:
Multi-Criteria Chinese Word Segmentation with Transformer. CoRR abs/1906.12035 (2019) - [i2]Yuheng Zhang, Ruoxi Jia, Hengzhi Pei, Wenxiao Wang, Bo Li, Dawn Song:
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks. CoRR abs/1911.07135 (2019) - [i1]Boxin Wang, Hengzhi Pei, Han Liu, Bo Li:
AdvCodec: Towards A Unified Framework for Adversarial Text Generation. CoRR abs/1912.10375 (2019)
Coauthor Index
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last updated on 2024-10-11 18:22 CEST by the dblp team
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