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ORCIDPengyu Cheng
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2020 – today
- 2024
[c14]Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu, Peixin Cao, Nan Du, Xiaolong Li:
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game. ACL (Findings) 2024: 3705-3716- [c13]Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, Nan Du:
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers. ACL (1) 2024: 13500-13519 - [i21]Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, Nan Du:
Self-playing Adversarial Language Game Enhances LLM Reasoning. CoRR abs/2404.10642 (2024) - [i20]Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao:
Detecting AI Flaws: Target-Driven Attacks on Internal Faults in Language Models. CoRR abs/2408.14853 (2024) - 2023
- [j8]Jia Zhao
, Pengyu Cheng, Jiazhen Hou, Tanghuai Fan, Longzhe Han:
Short-term load forecasting of multi-scale recurrent neural networks based on residual structure. Concurr. Comput. Pract. Exp. 35(5) (2023) - [j7]Hao Zhang, Long Tian, Zhengjue Wang, Yishi Xu, Pengyu Cheng, Ke Bai, Bo Chen:
Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6003-6014 (2023) - [j6]Xingyu Li, Ziyu Zheng, Pengyu Cheng, Jin Li, Lin You:
MACT: A multi-channel anonymous consensus based on Tor. World Wide Web (WWW) 26(3): 1005-1029 (2023) - [c12]Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin:
Estimating Total Correlation with Mutual Information Estimators. AISTATS 2023: 2147-2164 - [c11]Rui Wang, Pengyu Cheng, Ricardo Henao:
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. AISTATS 2023: 4473-4485 - [c10]Gelin Fu, Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding, Pengju Ren:
PrSpMV: An Efficient Predictable Kernel for SpMV. ICCD 2023: 448-456 - [i19]Rui Wang, Pengyu Cheng, Ricardo Henao:
Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. CoRR abs/2302.13136 (2023) - [i18]Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, Nan Du:
Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers. CoRR abs/2308.13191 (2023) - [i17]Pengyu Cheng, Jiawen Xie, Ke Bai, Yong Dai, Nan Du:
Everyone Deserves A Reward: Learning Customized Human Preferences. CoRR abs/2309.03126 (2023) - [i16]Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Nan Du:
Adversarial Preference Optimization. CoRR abs/2311.08045 (2023) - [i15]Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu:
On Diversified Preferences of Large Language Model Alignment. CoRR abs/2312.07401 (2023) - 2022
- [j5]Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. IEEE Access 10: 49207-49218 (2022) - [j4]Long Tao, Ping Wang, Yi-Feng Wang, Xiaoyong Ma, Pengyu Cheng, Danfeng Zhao:
Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification. IEEE Trans. Ind. Electron. 69(6): 6236-6246 (2022) - [j3]Yi-Feng Wang, Long Tao, Ping Wang, Xiaoyong Ma, Pengyu Cheng, Danfeng Zhao:
Improved Linear ADRC for Hybrid Energy Storage Microgrid Output-Side Converter. IEEE Trans. Ind. Electron. 69(9): 9111-9120 (2022) - [c9]Pengyu Cheng, Zhen-Hua Ling:
Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis. ICDSP 2022: 187-193 - [i14]Pengyu Cheng, Zhen-Hua Ling:
Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis. CoRR abs/2203.00951 (2022) - [i13]Shengxuan Luo, Pengyu Cheng, Sheng Yu:
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases. CoRR abs/2203.05744 (2022) - [i12]Pengyu Cheng, Ruineng Li:
Replacing Language Model for Style Transfer. CoRR abs/2211.07343 (2022) - 2021
- [b1]Pengyu Cheng:
Improving Natural Language Understanding via Contrastive Learning Methods. Duke University, Durham, NC, USA, 2021 - [c8]Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin:
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. ICLR 2021 - [c7]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. ICLR 2021 - [i11]Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin:
FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. CoRR abs/2103.06413 (2021) - [i10]Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin:
Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning. CoRR abs/2103.09420 (2021) - 2020
- [j2]Yifeng Wang, Xiaochen Wu, Yuqi Hou, Pengyu Cheng, Yan Liang, Lei Li:
Full-Range LED Dimming Driver With Ultrahigh Frequency PWM Shunt Dimming Control. IEEE Access 8: 79695-79707 (2020) - [j1]Zhiyong Bu, Bin Zhou, Pengyu Cheng, Kecheng Zhang, Zhen-Hua Ling:
Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models. IEEE Access 8: 132950-132959 (2020) - [c6]Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin:
Dynamic Embedding on Textual Networks via a Gaussian Process. AAAI 2020: 7562-7569 - [c5]Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. ACL 2020: 7530-7541 - [c4]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. ICML 2020: 1779-1788 - [i9]Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin:
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. CoRR abs/2006.00693 (2020) - [i8]Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin:
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. CoRR abs/2006.12013 (2020) - [i7]Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin:
WAFFLe: Weight Anonymized Factorization for Federated Learning. CoRR abs/2008.05687 (2020) - [i6]Pengyu Cheng, Weituo Hao, Lawrence Carin:
Estimating Total Correlation with Mutual Information Bounds. CoRR abs/2011.04794 (2020)
2010 – 2019
- 2019
- [c3]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. ACL (1) 2019: 107-116 - [c2]Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. ACL (1) 2019: 5193-5202 - [c1]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu:
Understanding and Accelerating Particle-Based Variational Inference. ICML 2019: 4082-4092 - [i5]Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin:
Improving Textual Network Embedding with Global Attention via Optimal Transport. CoRR abs/1906.01840 (2019) - [i4]Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin:
Learning Compressed Sentence Representations for On-Device Text Processing. CoRR abs/1906.08340 (2019) - [i3]Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin:
Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR abs/1910.02176 (2019) - [i2]Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David E. Carlson, Lawrence Carin:
Gaussian-Process-Based Dynamic Embedding for Textual Networks. CoRR abs/1910.02187 (2019) - 2018
- [i1]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin:
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR abs/1807.01750 (2018)
Coauthor Index
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