| 2026 | AAAI | Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement. | Chongjun Tu, Peng Ye, Dongzhan Zhou, Tao Chen, Wanli Ouyang |
| 2026 | AAAI | The Avengers: A Routing Recipe for Collective Intelligence in Language Models. | Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Xinrun Wang, Xu Jia, Lei Bai, Shuyue Hu |
| 2026 | ACL | LLMRouterBench: A Massive Benchmark and Unified Framework for LLM Routing. | Hao Li, Yiqun Zhang, Zhaoyan Guo, Chenxu Wang, Shengji Tang, Qiaosheng Zhang, Yang Chen, Biqing Qi, Peng Ye, Lei Bai, Zhen Wang, Shuyue Hu |
| 2026 | ACL | A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement. | Shengji Tang, Jianjian Cao, Weihao Lin, Jiale Hong, Bo Zhang, Shuyue Hu, Lei Bai, Tao Chen, Wanli Ouyang, Peng Ye |
| 2026 | ACL | Nature-Inspired Population-Based Evolution of Large Language Models. | Yiqun Zhang, Peng Ye, Xiaocui Yang, Shi Feng, Shufei Zhang, Lei Bai, Wanli Ouyang, Shuyue Hu |
| 2026 | IWCMC | LiteFusion: Adaptive Lightweight Fusion in Unsupervised Anomaly Localization. | Yajie Zhao, Kun Yang, Linjian Chen, Qiang Lin, Peng Ye, Jianhua Lan |
| 2025 | AAAI | All-in-One: Transferring Vision Foundation Models into Stereo Matching. | Jingyi Zhou, Haoyu Zhang, Jiakang Yuan, Peng Ye, Tao Chen, Hao Jiang, Meiya Chen, Yangyang Zhang |
| 2025 | COLT | Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity. | Bo Li, Wei Wang, Peng Ye |
| 2025 | CVPR | DeRS: Towards Extremely Efficient Upcycled Mixture-of-Experts Models. | Yongqi Huang, Peng Ye, Chenyu Huang, Jianjian Cao, Lin Zhang, Baopu Li, Gang Yu, Tao Chen |
| 2025 | CVPR | Less is More: Efficient Model Merging with Binary Task Switch. | Biqing Qi, Fangyuan Li, Zhen Wang, Junqi Gao, Dong Li, Peng Ye, Bowen Zhou |
| 2025 | CVPR | Critic-V: VLM Critics Help Catch VLM Errors in Multimodal Reasoning. | Di Zhang, Jingdi Lei, Junxian Li, Xunzhi Wang, Yujie Liu, Zonglin Yang, Jiatong Li, Weida Wang, Suorong Yang, Jianbo Wu, Peng Ye, Wanli Ouyang, Dongzhan Zhou |
| 2025 | CVPR | Consistency-aware Self-Training for Iterative-based Stereo Matching. | Jingyi Zhou, Peng Ye, Haoyu Zhang, Jiakang Yuan, Rao Qiang, Yangchenxu Liu, Wu Cailin, Feng Xu, Tao Chen |
| 2025 | EMNLP | Biology-Instructions: A Dataset and Benchmark for Multi-Omics Sequence Understanding Capability of Large Language Models. | Haonan He, Yuchen Ren, Yining Tang, Ziyang Xu, Junxian Li, Minghao Yang, Di Zhang, Dong Yuan, Tao Chen, Shufei Zhang, Yuqiang Li, Nanqing Dong, Wanli Ouyang, Dongzhan Zhou, Peng Ye |
| 2025 | ICLR | Revisiting Convolution Architecture in the Realm of DNA Foundation Models. | Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen |
| 2025 | ICLR | HiSplat: Hierarchical 3D Gaussian Splatting for Generalizable Sparse-View Reconstruction. | Shengji Tang, Weicai Ye, Peng Ye, Weihao Lin, Yang Zhou, Tao Chen, Wanli Ouyang |
| 2025 | ICLR | A CLIP-Powered Framework for Robust and Generalizable Data Selection. | Suorong Yang, Peng Ye, Wanli Ouyang, Dongzhan Zhou, Furao Shen |
| 2025 | ICML | When Dynamic Data Selection Meets Data Augmentation: Achieving Enhanced Training Acceleration. | Suorong Yang, Peng Ye, Furao Shen, Dongzhan Zhou |
| 2025 | QRS | AUG: an Interactive Tool for Clarifying and Generating UML Models Based on Large Language Models. | Jia Lu, Peiling Sun, Yi Chen, Gege Yin, Peng Ye |
| 2025 | QRS | LLMSDH: An Integrated Software-assisted Development Tool Based on Large Language Models. | Shiyu Zhu, Yimiao Zhang, Wenqiang Xu, Wei Guo, Peng Ye |
| 2025 | VTC | Transfer Learning Guided Noise Reduction for Automatic Modulation Classification. | Zelin Ji, Shuo Wang, Kuojun Yang, Peng Ye |
| 2025 | SEKE | How to enhance requirements-to-code traceability? From the perspective of project artifacts. | Huan Jin, Yingkai Yuan, Peng Ye, Hongyan Wan, Zhiyuan Zou, Bangchao Wang |
| 2024 | AAAI | Boosting Residual Networks with Group Knowledge. | Shengji Tang, Peng Ye, Baopu Li, Weihao Lin, Tao Chen, Tong He, Chong Yu, Wanli Ouyang |
| 2024 | CLOUD | ByteMQ: A Cloud-native Streaming Data Layer in ByteDance. | Yancan Mao, Ruohang Yin, Liyuan Lei, Peng Ye, Shengfu Zou, Shizheng Tang, Yunzhe Guo, Ye Yuan, Xiaochen Yu, Bo Wan, Yunfei Gong, Changli Gao, Guanghui Zhang, Jian Shen, Rui Shi, Richard T. B. Ma |
| 2024 | COLING | Prompt-fused Framework for Inductive Logical Query Answering. | Zezhong Xu, Wen Zhang, Peng Ye, Lei Liang, Huajun Chen |
| 2024 | CVPR | MADTP: Multimodal Alignment-Guided Dynamic Token Pruning for Accelerating Vision-Language Transformer. | Jianjian Cao, Peng Ye, Shengze Li, Chong Yu, Yansong Tang, Jiwen Lu, Tao Chen |
| 2024 | CVPR | Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression. | Hancheng Ye, Chong Yu, Peng Ye, Renqiu Xia, Yansong Tang, Jiwen Lu, Tao Chen, Bo Zhang |
| 2024 | ECCV | Enhanced Sparsification via Stimulative Training. | Shengji Tang, Weihao Lin, Hancheng Ye, Peng Ye, Chong Yu, Baopu Li, Tao Chen |
| 2024 | ICML | Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy. | Bo Li, Wei Wang, Peng Ye |
| 2024 | ICML | CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling. | Junchao Gong, Lei Bai, Peng Ye, Wanghan Xu, Na Liu, Jianhua Dai, Xiaokang Yang, Wanli Ouyang |
| 2024 | IJCNN | Multi-dimensional Search with Strip Convolution and R-Squared Loss for Lane Detection. | Zijun Lin, Peng Ye, Tao Chen, Shengji Tang |
| 2024 | QRS | YOLO-TSD: A Recognition and Detection Method for Traffic Sign Based on YOLOv5. | Zhe Li, Zuchun Li, Jia Lu, Yimiao Zhang, Peng Ye |
| 2024 | QRS | The Application of LLMs in the Analysis and Modeling of Software Requirements. | Zhipeng Wang, Changxi Feng, Longfei Liu, Guotao Jiao, Peng Ye |
| 2023 | ICASSP | JNDMix: Jnd-Based Data Augmentation for No-Reference Image Quality Assessment. | Jiamu Sheng, Jiayuan Fan, Peng Ye, Jianjian Cao |
| 2023 | ICASSP | CDHD: Contrastive Dreamer for Hint Distillation. | Le Yu, Tongyan Hua, Wenming Yang, Peng Ye, Qingmin Liao |
| 2023 | ICASSP | A2S-NAS: Asymmetric Spectral-Spatial Neural Architecture Search for Hyperspectral Image Classification. | Lin Zhan, Jiayuan Fan, Peng Ye, Jianjian Cao |
| 2023 | ICCV | RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary. | Mengyao Li, Liquan Shen, Peng Ye, Guorui Feng, Zheyin Wang |
| 2023 | ICIG | SAGAN: Self-attention Generative Adversarial Network for RGB-D Saliency Prediction. | Yongfang Wang, Shuyu Xiao, Peng Ye |
| 2023 | ISCAS | An Efficient Weighted Overlap-add Structure for Wideband Frequency Spectrum Analysis with Narrow Resolution Bandwidth. | Maolin Lei, Peng Ye, Kuojun Yang, Li Chen |
| 2023 | QRS | Research on the Construction of a Multimodal Cognitive Graph of Textile and Clothing. | Peng Ye, Xinyi Lan, Yufan Chen, Zhipeng Wang, Wei Ye |
| 2022 | COLING | Ruleformer: Context-aware Rule Mining over Knowledge Graph. | Zezhong Xu, Peng Ye, Hui Chen, Meng Zhao, Huajun Chen, Wen Zhang |
| 2022 | CVPR | β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search. | Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang |
| 2021 | COLT | Average-Case Communication Complexity of Statistical Problems. | Cyrus Rashtchian, David P. Woodruff, Peng Ye, Hanlin Zhu |
| 2021 | ICML | In-Database Regression in Input Sparsity Time. | Rajesh Jayaram, Alireza Samadian, David P. Woodruff, Peng Ye |
| 2020 | VCIP | Enhanced Saliency Prediction via Orientation Selectivity. | Peng Ye, Yongfang Wang, Yumeng Xia |
| 2019 | ISCAS | Reconstruction Strategy for Bandwidth-Interleaved Acquisition System with Overlapping Band. | Yu Zhao, Peng Ye, Kuojun Yang, Jie Meng, Jian Gao, Wentao Wei, Jinpeng Song, Yi Zhou |
| 2019 | VINCI | Visual Analysis of Retailing Store Location Selection. | Kelin Li, Yi-Na Li, Hong Yin, Yanpeng Hu, Peng Ye, Changbo Wang |
| 2018 | ISCAS | Trade-off between Sampling Rate and Resolution: A Time-synchronized Based Multi-resolution Structure for Ultra-fast Acquisition. | Jian Gao, Wuhuang Huang, Wentao Wei, Lianping Guo, Hao Li, Peng Ye |
| 2018 | KDD | Customized Regression Model for Airbnb Dynamic Pricing. | Peng Ye, Julian Qian, Jieying Chen, Chen-Hung Wu, Yitong Zhou, Spencer De Mars, Frank Yang, Li Zhang |
| 2016 | ICIP | No-reference document image quality assessment based on high order image statistics. | Jingtao Xu, Peng Ye, Qiaohong Li, Yong Liu, David S. Doermann |
| 2016 | IECON | Optimization design to reduce detent force and standardize back-EMF for permanent magnet synchronous linear motor. | Simin Jiang, Peng Ye, Guohua Jin, Yuke Qi, Hai Lin |
| 2015 | CEC | An evolutionary algorithm for performance optimization at software architecture level. | Xin Du, Youcong Ni, Peng Ye, Xin Yao, Leandro L. Minku, Ruliang Xiao |
| 2015 | GECCO | A Multi-objective Evolutionary Algorithm for Rule-based Performance Optimization at Software Architecture Level. | Xin Du, Youcong Ni, Peng Ye |
| 2015 | ICIP | Simultaneous estimation of image quality and distortion via multi-task convolutional neural networks. | Le Kang, Peng Ye, Yi Li, David S. Doermann |
| 2015 | VCIP | Local feature aggregation for blind image quality assessment. | Jingtao Xu, Qiaohong Li, Peng Ye, Haiqing Du, Yong Liu |
| 2014 | CVPR | Convolutional Neural Networks for No-Reference Image Quality Assessment. | Le Kang, Peng Ye, Yi Li, David S. Doermann |
| 2014 | CVPR | Active Sampling for Subjective Image Quality Assessment. | Peng Ye, David S. Doermann |
| 2014 | CVPR | Beyond Human Opinion Scores: Blind Image Quality Assessment Based on Synthetic Scores. | Peng Ye, Jayant Kumar, David S. Doermann |
| 2014 | ICIP | A deep learning approach to document image quality assessment. | Le Kang, Peng Ye, Yi Li, David S. Doermann |
| 2014 | ICIP | No-reference video quality assessment via feature learning. | Jingtao Xu, Peng Ye, Yong Liu, David S. Doermann |
| 2014 | ICPR | Convolutional Neural Networks for Document Image Classification. | Le Kang, Jayant Kumar, Peng Ye, Yi Li, David S. Doermann |
| 2014 | VCIP | Statistical metric fusion for image quality assessment. | Jingtao Xu, Qiaohong Li, Peng Ye, Haiqing Du, Yong Liu |
| 2013 | CVPR | Real-Time No-Reference Image Quality Assessment Based on Filter Learning. | Peng Ye, Jayant Kumar, Le Kang, David S. Doermann |
| 2013 | ICDAR | Document Image Quality Assessment: A Brief Survey. | Peng Ye, David S. Doermann |
| 2013 | IECON | A new thermal protection approach for permanent magnet synchronous motor. | Simin Jiang, Lijuan Wang, Liqiang Wang, Peng Ye, Zhaoli Hao |
| 2012 | CVPR | Unsupervised feature learning framework for no-reference image quality assessment. | Peng Ye, Jayant Kumar, Le Kang, David S. Doermann |
| 2012 | ICFHR | Learning Text-Line Segmentation Using Codebooks and Graph Partitioning. | Le Kang, Jayant Kumar, Peng Ye, David S. Doermann |
| 2012 | ICPR | Learning document structure for retrieval and classification. | Jayant Kumar, Peng Ye, David S. Doermann |
| 2012 | ICPR | Learning features for predicting OCR accuracy. | Peng Ye, David S. Doermann |
| 2012 | VINCI | ExtractVis: dynamic visualization of extracting multidimensional data. | Zhao Xiao, Changbo Wang, Yuhua Liu, Chenming Pang, Peng Ye |
| 2011 | ICIP | No-reference image quality assessment based on visual codebook. | Peng Ye, David S. Doermann |
| 2009 | ICASSP | Compressive confocal microscopy. | Peng Ye, Jos L. Paredes, Gonzalo R. Arce, Yuehao Wu, Caihua Chen, Dennis W. Prather |
| 2008 | APSCC | Study on Weaving Process at Software Architectural level. | Youcong Ni, Shi Ying, Jing Wen, Linlin Zhang, Peng Ye, Jiajing Zhang |
| 1994 | ECAI | Job Cost and Constraint Relaxation for Scheduling Problem Solving in the CLP Paradigm. | Peng Ye, Derrick Glass, Michael F. McTear, John G. Hughes |