| 2026 | WSDM | Sharpness-aware Federated Graph Learning. | Ruiyu Li, Peige Zhao, Guangxia Li, Pengcheng Wu, Xingyu Gao, Zhiqiang Xu |
| 2025 | AAAI | HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting. | Shibo Feng, Peilin Zhao, Liu Liu, Pengcheng Wu, Zhiqi Shen |
| 2025 | COLING | CmEAA: Cross-modal Enhancement and Alignment Adapter for Radiology Report Generation. | Xiyang Huang, Yingjie Han, Yaoxu Li, Runzhi Li, Pengcheng Wu, Kunli Zhang |
| 2025 | COLING | CaDRL: Document-level Relation Extraction via Context-aware Differentiable Rule Learning. | Kunli Zhang, Pengcheng Wu, Bohan Yu, Kejun Wu, Aoze Zheng, Xiyang Huang, Chenkang Zhu, Min Peng, Hongying Zan, Yu Song |
| 2025 | EMNLP | Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models. | Zhifei Xie, Mingbao Lin, Zihang Liu, Pengcheng Wu, Shuicheng Yan, Chunyan Miao |
| 2025 | ICML | Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity. | Wanjin Feng, Xingyu Gao, Wenqian Du, Hailong Shi, Peilin Zhao, Pengcheng Wu, Chunyan Miao |
| 2025 | ICML | Self-Bootstrapping for Versatile Test-Time Adaptation. | Shuaicheng Niu, Guohao Chen, Peilin Zhao, Tianyi Wang, Pengcheng Wu, Zhiqi Shen |
| 2025 | ICML | NTPP: Generative Speech Language Modeling for Dual-Channel Spoken Dialogue via Next-Token-Pair Prediction. | Qichao Wang, Ziqiao Meng, Wenqian Cui, Yifei Zhang, Pengcheng Wu, Bingzhe Wu, Irwin King, Liang Chen, Peilin Zhao |
| 2025 | IJCNN | Vocalization-based Fine-grained Prediction of Giant Panda Ovulation Time. | Jinlong Tang, Qijun Zhao, Peng Chen, Rong Hou, Tie Liu, Fan Pan, Wei Sun, Mengnan He, Pengcheng Wu |
| 2025 | IJCNN | MBANet: A Multi-Branch Deep Learning Model for Giant Panda Age Estimation. | Xiuwei Yang, Han Su, Rui Xiong, Mengnan He, Yimin Han, Gai Luo, Pengcheng Wu, Qingyue Min, Rong Hou, Peng Chen |
| 2025 | PRICAI | Patching LLMs Efficiently for Edge Devices. | Yan Fang, Pengcheng Wu, Rongwei Sun |
| 2025 | SAFECOMP | Vehicle-Level Safety Validation of AD/ADAS Systems via Extreme Value Analysis. | Pengcheng Wu, Sadegh Rahrovani, Zhennan Fei, Derong Yang, Stina Carlsson, Martin Trngren |
| 2025 | SoMeT | Knowledge Graph-Based Process Planning for CAD Models. | Chenze Li, Yingjie Wu, Min Zhu, Pengcheng Wu, Pan Hu, Hongming Cai |
| 2024 | ICML | Test-Time Model Adaptation with Only Forward Passes. | Shuaicheng Niu, Chunyan Miao, Guohao Chen, Pengcheng Wu, Peilin Zhao |
| 2024 | IJCNN | Age Estimation of Giant Pandas Based on Narrowed Window Ordered Regression. | Zihao Zhang, Han Su, Rong Hou, Pengcheng Wu, Ping Xu, Peng Chen |
| 2024 | SMC | Cross-Angle Facial Individual Verification of Giant Panda. | Jiawei Wu, Han Su, Peng Min, Mengnan He, Pengcheng Wu, Gai Luo, Rong Hou, Peng Chen |
| 2023 | AAAI | Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout. | Yuanyuan Chen, Zichen Chen, Sheng Guo, Yansong Zhao, Zelei Liu, Pengcheng Wu, Chengyi Yang, Zengxiang Li, Han Yu |
| 2023 | IJCAI | FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning. | Yuanyuan Chen, Zichen Chen, Pengcheng Wu, Han Yu |
| 2023 | IJCNN | Video-based Red Panda Individual Identification by Adaptively Aggregating Discriminative Features. | Lei Li, Mengnan He, Pengcheng Wu, Peng Liu, Ke Huang, Fan Pan, Peng Chen, Qijun Zhao |
| 2022 | ICASSP | Pixel-Level and Affinity-Level Knowledge Distillation for Unsupervised Segmentation of Covid-19 Lesions. | Rui Xu, Yufeng Wang, Xinchen Ye, Pengcheng Wu, Yen-Wei Chen, Fangyi Xu, Wenchao Zhu, Chao Chen, Yong Zhou, Hongjie Hu, Xiaofeng Qu, Shoji Kido, Noriyuki Tomiyama |
| 2022 | MICCAI | Local-Region and Cross-Dataset Contrastive Learning for Retinal Vessel Segmentation. | Rui Xu, Jiaxin Zhao, Xinchen Ye, Pengcheng Wu, Zhihui Wang, Haojie Li, Yen-Wei Chen |
| 2021 | AAAI | HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks. | Yuanyuan Chen, Boyang Li, Han Yu, Pengcheng Wu, Chunyan Miao |
| 2015 | IJCAI | Online Learning to Rank for Content-Based Image Retrieval. | Ji Wan, Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Xingyu Gao, Dayong Wang, Yongdong Zhang, Jintao Li |
| 2014 | AAAI | Learning Relative Similarity by Stochastic Dual Coordinate Ascent. | Pengcheng Wu, Yi Ding, Peilin Zhao, Chunyan Miao, Steven C. H. Hoi |
| 2014 | ICDM | High-Dimensional Data Stream Classification via Sparse Online Learning. | Dayong Wang, Pengcheng Wu, Peilin Zhao, Yue Wu, Chunyan Miao, Steven C. H. Hoi |
| 2013 | SIGIR | Learning to name faces: a multimodal learning scheme for search-based face annotation. | Dayong Wang, Steven C. H. Hoi, Pengcheng Wu, Jianke Zhu, Ying He, Chunyan Miao |
| 2013 | WSDM | Online multi-modal distance learning for scalable multimedia retrieval. | Hao Xia, Pengcheng Wu, Steven C. H. Hoi |
| 2012 | ICML | Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning. | Steven C. H. Hoi, Jialei Wang, Peilin Zhao, Rong Jin, Pengcheng Wu |
| 2012 | SIGIR | Boosting multi-kernel locality-sensitive hashing for scalable image retrieval. | Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin |
| 2011 | MMM | Randomly Projected KD-Trees with Distance Metric Learning for Image Retrieval. | Pengcheng Wu, Steven C. H. Hoi, Duc Dung Nguyen, Ying He |
| 2011 | WSDM | Mining social images with distance metric learning for automated image tagging. | Pengcheng Wu, Steven C. H. Hoi, Peilin Zhao, Ying He |
| 2005 | GPCE | Shadow Programming: Reasoning About Programs Using Lexical Join Point Information. | Pengcheng Wu, Karl J. Lieberherr |
| 2004 | ICML | Improving SVM accuracy by training on auxiliary data sources. | Pengcheng Wu, Thomas G. Dietterich |