Pengyu Cheng

According to our database, Pengyu Cheng authored at least 40 papers between 2018 and 2025.

Collaborative distances:

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

2025

Kimi-VL Technical Report.

Angang Du, Bohong Yin, Bowei Xing, Bowen Qu, Bowen Wang, Cheng Chen, Chenlin Zhang, Chenzhuang Du, Chu Wei, Congcong Wang, Dehao Zhang, Dikang Du, Dongliang Wang, Enming Yuan, Enzhe Lu, Fang Li, Flood Sung, Guangda Wei, Guokun Lai, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haoning Wu, Haotian Yao, Haoyu Lu, Heng Wang, Hongcheng Gao, Huabin Zheng, Jiaming Li, Jianlin Su, Jianzhou Wang, Jiaqi Deng, Jiezhong Qiu, Jin Xie, Jinhong Wang, Jingyuan Liu, Junjie Yan, Kun Ouyang, Liang Chen, Lin Sui, Longhui Yu, Mengfan Dong, Mengnan Dong, Nuo Xu, Pengyu Cheng, Qizheng Gu, Runjie Zhou, Shaowei Liu, Sihan Cao, Tao Yu, Tianhui Song, Tongtong Bai, Wei Song, Weiran He, Weixiao Huang, Weixin Xu, Xiaokun Yuan, Xingcheng Yao, Xingzhe Wu, Xinxing Zu, Xinyu Zhou, Xinyuan Wang, Y. Charles, Yan Zhong, Yang Li, Yangyang Hu, Yanru Chen, Yejie Wang, Yibo Liu, Yibo Miao, Yidao Qin, Yimin Chen, Yiping Bao, Yiqin Wang, Yongsheng Kang, Yuanxin Liu, Yulun Du, Yuxin Wu, Yuzhi Wang, Yuzi Yan, Zaida Zhou, Zhaowei Li, Zhejun Jiang, Zheng Zhang, Zhilin Yang, Zhiqi Huang, Zihao Huang, Zijia Zhao, Ziwei Chen, Zongyu Lin

CoRR, April, 2025

Simplify RLHF as Reward-Weighted SFT: A Variational Method.

Yuhao Du, Zhuo Li, Pengyu Cheng, Zhihong Chen, Yuejiao Xie, Xiang Wan, Anningzhe Gao

CoRR, February, 2025

Atoxia: Red-teaming Large Language Models with Target Toxic Answers.

Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

Detecting AI Flaws: Target-Driven Attacks on Internal Faults in Language Models.

Yuhao Du, Zhuo Li, Pengyu Cheng, Xiang Wan, Anningzhe Gao

CoRR, 2024

Self-playing Adversarial Language Game Enhances LLM Reasoning.

Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, Nan Du

CoRR, 2024

Self-playing Adversarial Language Game Enhances LLM Reasoning.

Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, Nan Du, Xiaolong Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On Diversified Preferences of Large Language Model Alignment.

Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Disentangling Speaker Representations from Intuitive Prosodic Features for Speaker-Adaptative and Prosody-Controllable Speech Synthesis.

Pengyu Cheng, Zhenhua Ling, Meng Meng, Yujun Wang

Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2024

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers.

Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, Nan Du

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game.

Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu, Peixin Cao, Nan Du, Xiaolong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition.

Hao Zhang, Long Tian, Zhengjue Wang, Yishi Xu, Pengyu Cheng, Ke Bai, Bo Chen

IEEE Trans. Neural Networks Learn. Syst., September, 2023

MACT: A multi-channel anonymous consensus based on Tor.

Xingyu Li, Ziyu Zheng, Pengyu Cheng, Jin Li, Lin You

World Wide Web (WWW), May, 2023

Short-term load forecasting of multi-scale recurrent neural networks based on residual structure.

Jia Zhao, Pengyu Cheng, Jiazhen Hou, Tanghuai Fan, Longzhe Han

Concurr. Comput. Pract. Exp., February, 2023

On Diversified Preferences of Large Language Model Alignment.

Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu

CoRR, 2023

Adversarial Preference Optimization.

Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Nan Du

CoRR, 2023

Everyone Deserves A Reward: Learning Customized Human Preferences.

Pengyu Cheng, Jiawen Xie, Ke Bai, Yong Dai, Nan Du

CoRR, 2023

PrSpMV: An Efficient Predictable Kernel for SpMV.

Gelin Fu, Tian Xia, Shaoru Qu, Zhongpei Luo, Shuyu Li, Pengyu Cheng, Runfan Guo, Yitong Ding, Pengju Ren

Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling.

Rui Wang, Pengyu Cheng, Ricardo Henao

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Estimating Total Correlation with Mutual Information Estimators.

Ke Bai, Pengyu Cheng, Weituo Hao, Ricardo Henao, Larry Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Improved Linear ADRC for Hybrid Energy Storage Microgrid Output-Side Converter.

Yifeng Wang, Long Tao, Ping Wang, Xiaoyong Ma, Pengyu Cheng, Danfeng Zhao

IEEE Trans. Ind. Electron., 2022

Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification.

Long Tao, Ping Wang, Yifeng Wang, Xiaoyong Ma, Pengyu Cheng, Danfeng Zhao

IEEE Trans. Ind. Electron., 2022

Replacing Language Model for Style Transfer.

Pengyu Cheng, Ruineng Li

CoRR, 2022

Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases.

Shengxuan Luo, Pengyu Cheng, Sheng Yu

CoRR, 2022

WAFFLe: Weight Anonymized Factorization for Federated Learning.

Weituo Hao, Nikhil Mehta, Kevin J. Liang, Pengyu Cheng, Mostafa El-Khamy, Lawrence Carin

IEEE Access, 2022

Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis.

Pengyu Cheng, Zhen-Hua Ling

Proceedings of the ICDSP 2022: 6th International Conference on Digital Signal Processing, Chengdu, China, February 25, 2022

2021

Improving Natural Language Understanding via Contrastive Learning Methods.

Pengyu Cheng

PhD thesis, 2021

Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning.

Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin

Proceedings of the 9th International Conference on Learning Representations, 2021

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders.

Pengyu Cheng, Weituo Hao, Siyang Yuan, Shijing Si, Lawrence Carin

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Estimating Total Correlation with Mutual Information Bounds.

Pengyu Cheng, Weituo Hao, Lawrence Carin

CoRR, 2020

Full-Range LED Dimming Driver With Ultrahigh Frequency PWM Shunt Dimming Control.

Yifeng Wang, Xiaochen Wu, Yuqi Hou, Pengyu Cheng, Yan Liang, Lei Li

IEEE Access, 2020

Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models.

Zhiyong Bu, Bin Zhou, Pengyu Cheng, Kecheng Zhang, Zhen-Hua Ling

IEEE Access, 2020

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information.

Pengyu Cheng, Weituo Hao, Shuyang Dai, Jiachang Liu, Zhe Gan, Lawrence Carin

Proceedings of the 37th International Conference on Machine Learning, 2020

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance.

Pengyu Cheng, Martin Renqiang Min, Dinghan Shen, Christopher Malon, Yizhe Zhang, Yitong Li, Lawrence Carin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Dynamic Embedding on Textual Networks via a Gaussian Process.

Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Chen, David E. Carlson, Lawrence Carin

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

2019

Gaussian-Process-Based Dynamic Embedding for Textual Networks.

Pengyu Cheng, Yitong Li, Xinyuan Zhang, Liqun Cheng, David E. Carlson, Lawrence Carin

CoRR, 2019

Straight-Through Estimator as Projected Wasserstein Gradient Flow.

Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin

CoRR, 2019

Understanding and Accelerating Particle-Based Variational Inference.

Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu

Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.

Dinghan Shen, Pengyu Cheng, Dhanasekar Sundararaman, Xinyuan Zhang, Qian Yang, Meng Tang, Asli Celikyilmaz, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Improving Textual Network Embedding with Global Attention via Optimal Transport.

Liqun Chen, Guoyin Wang, Chenyang Tao, Dinghan Shen, Pengyu Cheng, Xinyuan Zhang, Wenlin Wang, Yizhe Zhang, Lawrence Carin

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference.

Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin

CoRR, 2018