Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001; Lawrence Carin (CoRR, 2018)

Improving Textual Network Embedding with Global Attention via Optimal Transport. - Liqun Chen 001; Guoyin Wang 002; Chenyang Tao; Dinghan Shen; Pengyu Cheng; Xinyuan Zhang 001; Wenlin Wang; Yizhe Zhang 002; Lawrence Carin (ACL (1), 2019)

Learning Compressed Sentence Representations for On-Device Text Processing. - Dinghan Shen; Pengyu Cheng; Dhanasekar Sundararaman; Xinyuan Zhang 001; Qian Yang 003; Meng Tang; Asli Celikyilmaz; Lawrence Carin (ACL (1), 2019)

Understanding and Accelerating Particle-Based Variational Inference. - Chang Liu 030; Jingwei Zhuo; Pengyu Cheng; Ruiyi Zhang 002; Jun Zhu 001 (ICML, 2019)

Straight-Through Estimator as Projected Wasserstein Gradient Flow. - Pengyu Cheng; Chang Liu 030; Chunyuan Li; Dinghan Shen; Ricardo Henao; Lawrence Carin (CoRR, 2019)

Gaussian-Process-Based Dynamic Embedding for Textual Networks. - Pengyu Cheng; Yitong Li 001; Xinyuan Zhang 001; Liqun Cheng; David E. Carlson; Lawrence Carin (CoRR, 2019)

Dynamic Embedding on Textual Networks via a Gaussian Process. - Pengyu Cheng; Yitong Li 001; Xinyuan Zhang 001; Liqun Chen 001; David E. Carlson; Lawrence Carin (AAAI, 2020)

Improving Disentangled Text Representation Learning with Information-Theoretic Guidance. - Pengyu Cheng; Martin Renqiang Min; Dinghan Shen; Christopher Malon; Yizhe Zhang 002; Yitong Li 001; Lawrence Carin (ACL, 2020)

CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information. - Pengyu Cheng; Weituo Hao; Shuyang Dai; Jiachang Liu 001; Zhe Gan; Lawrence Carin (ICML, 2020)

Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models. - Zhiyong Bu 001; Bin Zhou; Pengyu Cheng; Kecheng Zhang; Zhen-Hua Ling (IEEE Access, 2020)

Full-Range LED Dimming Driver With Ultrahigh Frequency PWM Shunt Dimming Control. - Yifeng Wang 006; Xiaochen Wu; Yuqi Hou; Pengyu Cheng; Yan Liang; Lei Li (IEEE Access, 2020)

Estimating Total Correlation with Mutual Information Bounds. - Pengyu Cheng; Weituo Hao; Lawrence Carin (CoRR, 2020)

FairFil: Contrastive Neural Debiasing Method for Pretrained Text Encoders. - Pengyu Cheng; Weituo Hao; Siyang Yuan; Shijing Si; Lawrence Carin (ICLR, 2021)

Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning. - Siyang Yuan; Pengyu Cheng; Ruiyi Zhang 002; Weituo Hao; Zhe Gan; Lawrence Carin (ICLR, 2021)

Improving Natural Language Understanding via Contrastive Learning Methods. - Pengyu Cheng (2021)

Speaker Adaption with Intuitive Prosodic Features for Statistical Parametric Speech Synthesis. - Pengyu Cheng; Zhen-Hua Ling (ICDSP, 2022)

WAFFLe: Weight Anonymized Factorization for Federated Learning. - Weituo Hao; Nikhil Mehta 002; Kevin J. Liang; Pengyu Cheng; Mostafa El-Khamy; Lawrence Carin (IEEE Access, 2022)

Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases. - Shengxuan Luo; Pengyu Cheng; Sheng Yu 002 (CoRR, 2022)

Replacing Language Model for Style Transfer. - Pengyu Cheng; Ruineng Li (CoRR, 2022)

Variable Structure ADRC-Based Control for Load-Side Buck Interface Converter: Formation, Analysis, and Verification. - Long Tao; Ping Wang 015; Yifeng Wang 006; Xiaoyong Ma; Pengyu Cheng; Danfeng Zhao (IEEE Trans. Ind. Electron., 2022)

Improved Linear ADRC for Hybrid Energy Storage Microgrid Output-Side Converter. - Yifeng Wang 006; Long Tao; Ping Wang 015; Xiaoyong Ma; Pengyu Cheng; Danfeng Zhao (IEEE Trans. Ind. Electron., 2022)

Estimating Total Correlation with Mutual Information Estimators. - Ke Bai 001; Pengyu Cheng; Weituo Hao; Ricardo Henao; Larry Carin (AISTATS, 2023)

Toward Fairness in Text Generation via Mutual Information Minimization based on Importance Sampling. - Rui Wang 088; Pengyu Cheng; Ricardo Henao (AISTATS, 2023)

PrSpMV: An Efficient Predictable Kernel for SpMV. - Gelin Fu; Tian Xia 008; Shaoru Qu; Zhongpei Luo; Shuyu Li; Pengyu Cheng; Runfan Guo; Yitong Ding; Pengju Ren (ICCD, 2023)

Everyone Deserves A Reward: Learning Customized Human Preferences. - Pengyu Cheng; Jiawen Xie; Ke Bai 001; Yong Dai 001; Nan Du (CoRR, 2023)

Adversarial Preference Optimization. - Pengyu Cheng; Yifan Yang; Jian Li; Yong Dai; Nan Du (CoRR, 2023)

On Diversified Preferences of Large Language Model Alignment. - Dun Zeng; Yong Dai 001; Pengyu Cheng; Tianhao Hu; Wanshun Chen; Nan Du; Zenglin Xu (CoRR, 2023)

Short-term load forecasting of multi-scale recurrent neural networks based on residual structure. - Jia Zhao 001; Pengyu Cheng; Jiazhen Hou; Tanghuai Fan; Longzhe Han (Concurr. Comput. Pract. Exp., 2023)

MACT: A multi-channel anonymous consensus based on Tor. - Xingyu Li; Ziyu Zheng; Pengyu Cheng; Jin Li; Lin You (World Wide Web (WWW), 2023)

Multiscale Visual-Attribute Co-Attention for Zero-Shot Image Recognition. - Hao Zhang 050; Long Tian; Zhengjue Wang; Yishi Xu; Pengyu Cheng; Ke Bai 001; Bo Chen 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game. - Pengyu Cheng; Yifan Yang; Jian Li; Yong Dai 001; Tianhao Hu; Peixin Cao; Nan Du; Xiaolong Li (ACL (Findings), 2024)

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers. - Jiawen Xie; Pengyu Cheng; Xiao Liang; Yong Dai 001; Nan Du (ACL (1), 2024)

Disentangling Speaker Representations from Intuitive Prosodic Features for Speaker-Adaptative and Prosody-Controllable Speech Synthesis. - Pengyu Cheng; Zhenhua Ling; Meng Meng; Yujun Wang (APSIPA, 2024)

On Diversified Preferences of Large Language Model Alignment. - Dun Zeng; Yong Dai 001; Pengyu Cheng; Longyue Wang; Tianhao Hu; Wanshun Chen; Nan Du; Zenglin Xu (EMNLP (Findings), 2024)

Self-playing Adversarial Language Game Enhances LLM Reasoning. - Pengyu Cheng; Tianhao Hu; Han Xu; Zhisong Zhang; Yong Dai 001; Lei Han; Nan Du; Xiaolong Li (NeurIPS, 2024)

Self-playing Adversarial Language Game Enhances LLM Reasoning. - Pengyu Cheng; Tianhao Hu; Han Xu; Zhisong Zhang; Yong Dai 001; Lei Han; Nan Du (CoRR, 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)

Atoxia: Red-teaming Large Language Models with Target Toxic Answers. - Yuhao Du; Zhuo Li; Pengyu Cheng; Xiang Wan; Anningzhe Gao (NAACL (Findings), 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, 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; et al. (CoRR, 2025)