| 2026 | AAAI | BulletTime4D: Towards High Spatio-Temporal Resolution Dynamic Scene Rendering via Spike-Guided Stereo Vision. | Yiqian Chang, Haoran Xu, Qinghong Ye, Jianing Li, Xuan Wang, Wei Zhang, Peixi Peng |
| 2026 | AAAI | Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models. | Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian |
| 2026 | AAAI | LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding. | Xiaodong Wang, Langling Huang, Zhirong Wu, Xu Zhao, Teng Xu, Xuhong Xia, Peixi Peng |
| 2026 | AAAI | Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model. | Xiaodong Wang, Zhirong Wu, Peixi Peng |
| 2026 | AAAI | COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control. | Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu, Zhenxian Liu, Luntong Li |
| 2025 | AAAI | Visual Reinforcement Learning with Residual Action. | Zhenxian Liu, Peixi Peng, Yonghong Tian |
| 2025 | AAAI | Towards Building Human-like Smart Agents in Modern 3D Video Games (Student Abstract). | Zhihang Sun, Shuhan Qi, Xinhao Huang, Xinyu Xiao, Jiajia Zhang, Xuan Wang, Peixi Peng |
| 2025 | AAAI | Exploiting Continuous Motion Clues for Vision-Based Occupancy Prediction. | Haoran Xu, Peixi Peng, Xinyi Zhang, Guang Tan, Yaokun Li, Shuaixian Wang, Luntong Li |
| 2025 | CVPR | VLMs-Guided Representation Distillation for Efficient Vision-Based Reinforcement Learning. | Haoran Xu, Peixi Peng, Guang Tan, Yiqian Chang, Luntong Li, Yonghong Tian |
| 2025 | ICML | When Every Millisecond Counts: Real-Time Anomaly Detection via the Multimodal Asynchronous Hybrid Network. | Dong Xiao, Guangyao Chen, Peixi Peng, Yangru Huang, Yifan Zhao, Yongxing Dai, Yonghong Tian |
| 2025 | TrustCom | Optimizing Spectrum Sharing in Low-Altitude Intelligent Networks: A Model-Based Reinforcement Learning Approach. | Tianle Li, Qingyu Liu, Peixi Peng |
| 2024 | AAAI | Adaptive Discovering and Merging for Incremental Novel Class Discovery. | Guangyao Chen, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian |
| 2024 | CVPR | Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction. | Di Wen, Haoran Xu, Zhaocheng He, Zhe Wu, Guang Tan, Peixi Peng |
| 2024 | CVPR | DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. | Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian |
| 2024 | IJCNN | Prior-Posterior Knowledge Prompting-and-Reasoning for Surgical Visual Question Localized-Answering. | Peixi Peng, Wanshu Fan, Wenfei Liu, Xin Yang, Dongsheng Zhou |
| 2023 | CVPR | Learning with Fantasy: Semantic-Aware Virtual Contrastive Constraint for Few-Shot Class-Incremental Learning. | Zeyin Song, Yifan Zhao, Yujun Shi, Peixi Peng, Li Yuan, Yonghong Tian |
| 2023 | ICCV | Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. | Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian |
| 2023 | ICCV | Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. | Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian |
| 2023 | ICIG | Learning Sparse Neural Networks with Identity Layers. | Mingjian Ni, Guangyao Chen, Xiawu Zheng, Peixi Peng, Li Yuan, Yonghong Tian |
| 2023 | ICONIP | Reinforcement Learning-Based Consensus Reaching in Large-Scale Social Networks. | Shijun Guo, Haoran Xu, Guangqiang Xie, Di Wen, Yangru Huang, Peixi Peng |
| 2023 | IJCAI | Dynamic Belief for Decentralized Multi-Agent Cooperative Learning. | Yunpeng Zhai, Peixi Peng, Chen Su, Yonghong Tian |
| 2021 | DCC | Reducing Image Compression Artifacts for Deep Neural Networks. | Li Ma, Peixi Peng, Peiyin Xing, Yaowei Wang, Yonghong Tian |
| 2021 | ICASSP | Allocating DNN Layers Computation Between Front-End Devices and The Cloud Server for Video Big Data Processing. | Peiyin Xing, Xiaofei Liu, Peixi Peng, Tiejun Huang, Yonghong Tian |
| 2021 | ICCV | Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. | Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian |
| 2020 | AAAI | Domain Adaptive Attention Learning for Unsupervised Person Re-Identification. | Yangru Huang, Peixi Peng, Yi Jin, Yidong Li, Junliang Xing |
| 2020 | DCC | Binary Representation and High Efficient Compression of 3D CNN Features for Action Recognition. | Peiyin Xing, Peixi Peng, Yongsheng Liang, Tiejun Huang, Yonghong Tian |
| 2020 | ECCV | Learning Open Set Network with Discriminative Reciprocal Points. | Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian |
| 2020 | IJCAI | Hybrid Learning for Multi-agent Cooperation with Sub-optimal Demonstrations. | Peixi Peng, Junliang Xing, Lili Cao |
| 2019 | ICIG | Unsupervised Person Re-identification Based on Clustering and Domain-Invariant Network. | Yangru Huang, Yi Jin, Peixi Peng, Congyan Lang, Yidong Li |
| 2019 | ICIP | Vehicle Re-Identification by Multi-Grain Learni. | Xiaoliang Yang, Congyan Lang, Peixi Peng, Junliang Xing |
| 2019 | IJCAI | Learning Deep Decentralized Policy Network by Collective Rewards for Real-Time Combat Game. | Peixi Peng, Junliang Xing, Lili Cao, Lisen Mu, Chang Huang |
| 2019 | VCIP | Joint Learning of Dictionary and Convolutional Network for Pedestrian Attribute Recognition. | Yan Sha, Congyan Lang, Peixi Peng, Junliang Xing, Danxia Li |
| 2018 | ECCV | Visual Tracking via Spatially Aligned Correlation Filters Network. | Mengdan Zhang, Qiang Wang, Junliang Xing, Jin Gao, Peixi Peng, Weiming Hu, Stephen J. Maybank |
| 2016 | CVPR | Unsupervised Cross-Dataset Transfer Learning for Person Re-identification. | Peixi Peng, Tao Xiang, Yaowei Wang, Massimiliano Pontil, Shaogang Gong, Tiejun Huang, Yonghong Tian |
| 2016 | ECCV | Joint Learning of Semantic and Latent Attributes. | Peixi Peng, Yonghong Tian, Tao Xiang, Yaowei Wang, Tiejun Huang |
| 2012 | AVSS | Single and Multiple View Detection, Tracking and Video Analysis in Crowded Environments. | Teng Xu, Peixi Peng, Xiaoyu Fang, Chi Su, Yaowei Wang, Yonghong Tian, Wei Zeng, Tiejun Huang |
| 2012 | BMVC | Multi-camera Pedestrian Detection with Multi-view Bayesian Network Model. | Peixi Peng, Yonghong Tian, Yaowei Wang, Tiejun Huang |