| 2026 | AAAI | Mass Concept Erasure in Diffusion Models with Concept Hierarchy. | Jiahang Tu, Ye Li, Yiming Wu, Hanbin Zhao, Chao Zhang, Hui Qian |
| 2026 | ICDE | From Polystores to Polydbms: The Polypheny Experience. | Marco Vogt, David Lengweiler, Martin Vahlensieck, Yiming Wu, Heiko Schuldt |
| 2026 | WWW | Counterfactual Augmented Causal Reasoning for Aspect-Based Sentiment Analysis. | Yiming Wu, Liang Hu, Mingzhu Zhou, Tangwei Ye, Xuejie Yang, Xun Yang, Zhongyuan Lai, Qi Zhang, Usman Naseem |
| 2026 | WWW | Accurate Trajectory Recovery in Underserved Areas via Location Inference from Web Crowdsourced Data. | Tangwei Ye, Liang Hu, Zhongyuan Lai, Qi Zhang, Yiming Wu, Jiaxing Miao, Yijun Yang, Kun Yi |
| 2026 | SP | APIECHO: Training-Less Anomaly Detection via Intra-API Behavioral Comparison for Web Applications. | Yihao Peng, Yiming Wu, Du Wu, Shouling Ji, Hai Wan, Xibin Zhao |
| 2025 | CSCWD | AEID-YOLO: A Safety Equipment Detection Model Based on Multi-Scale Feature Fusion and Dynamic Focusing Mechanism. | Yiming Wu, Xiaofang Mu, Hong Shi, Mingxing Hou, Zijian Wang, Shuxian Guo |
| 2025 | ICCV | On-Device Diffusion Transformer Policy for Efficient Robot Manipulation. | Yiming Wu, Huan Wang, Zhenghao Chen, Jianxin Pang, Dong Xu |
| 2025 | SiggraphA | NeLiF: Neural Lighting Function Generation for Real-Time Indoor Rendering. | Hongtao Sheng, Yuchi Huo, Chuankun Zheng, Guangzhi Han, Yifan Peng, Shi Li, Bin Zang, Hao Zhu, Rui Tang, Yiming Wu, Rui Wang, Hujun Bao |
| 2024 | AAAI | Panoptic Scene Graph Generation with Semantics-Prototype Learning. | Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, Roger Zimmermann |
| 2024 | ECCV | Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds. | Zicheng Wang, Zhen Zhao, Yiming Wu, Luping Zhou, Dong Xu |
| 2024 | ICARCV | Resilient Consensus for Heterogeneous Networks Under Byzantine Attacks. | Jie Jiang, Mingde Huang, Yiming Wu |
| 2024 | ICASSP | Mrtnet: Multi-Resolution Temporal Network for Video Sentence Grounding. | Wei Ji, You Qin, Long Chen, Yinwei Wei, Yiming Wu, Roger Zimmermann |
| 2024 | ICASSP | Self-Distilled Dynamic Fusion Network for Language-Based Fashion Retrieval. | Yiming Wu, Hangfei Li, Fangfang Wang, Yilong Zhang, Ronghua Liang |
| 2022 | ICASSP | Difficulty-Aware Neural Band-to-Piano Score Arrangement based on Note- and Statistic-Level Criteria. | Moyu Terao, Yuki Hiramatsu, Ryoto Ishizuka, Yiming Wu, Kazuyoshi Yoshii |
| 2021 | QRS | MMFC-ART: a Fixed-size-Candidate-set Adaptive Random Testing approach based on the modified Metric-Memory tree. | Jinfu Chen, Yiming Wu, Chengying Mao, Tsong Yueh Chen, Haibo Chen |
| 2020 | CVPR | BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation. | Yifeng Chen, Guangchen Lin, Songyuan Li, Omar El Farouk Bourahla, Yiming Wu, Fangfang Wang, Junyi Feng, Mingliang Xu, Xi Li |
| 2020 | ICARCV | Resilient Privacy-Preserving Average Consensus for Multi-agent Systems under Attacks. | Dong Wang, Ning Zheng, Ming Xu, Yiming Wu, Qinling Hu, Gangyang Wang |
| 2020 | TrustCom | An Automatic Vulnerability Scanner for Web Applications. | Haibo Chen, Junzuo Chen, Jinfu Chen, Shang Yin, Yiming Wu, Jiaping Xu |
| 2020 | TrustCom | iTES: Integrated Testing and Evaluation System for Software Vulnerability Detection Methods. | Chi Zhang, Jinfu Chen, Saihua Cai, Bo Liu, Yiming Wu, Ye Geng |
| 2019 | CVPR | ChamNet: Towards Efficient Network Design Through Platform-Aware Model Adaptation. | Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha |
| 2019 | CVPR | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. | Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer |
| 2019 | HPCA | Machine Learning at Facebook: Understanding Inference at the Edge. | Carole-Jean Wu, David Brooks, Kevin Chen, Douglas Chen, Sy Choudhury, Marat Dukhan, Kim M. Hazelwood, Eldad Isaac, Yangqing Jia, Bill Jia, Tommer Leyvand, Hao Lu, Yang Lu, Lin Qiao, Brandon Reagen, Joe Spisak, Fei Sun, Andrew Tulloch, Peter Vajda, Xiaodong Wang, Yanghan Wang, Bram Wasti, Yiming Wu, Ran Xian, Sungjoo Yoo, Peizhao Zhang |
| 2018 | ICASSP | Music Chord Recognition Based on Midi-Trained Deep Feature and BLSTM-CRF Hybird Decoding. | Yiming Wu, Wei Li |
| 2018 | ICONIP | Resilient Consensus for Multi-agent Networks with Mobile Detectors. | Haofeng Yan, Yiming Wu, Ming Xu, Ting Wu, Jian Xu, Tong Qiao |
| 2018 | PRICAI | Using Machine Learning for Determining Network Robustness of Multi-Agent Systems Under Attacks. | Guang Wang, Ming Xu, Yiming Wu, Ning Zheng, Jian Xu, Tong Qiao |
| 2018 | TrustCom | Resilient Bipartite Consensus for Multi-agent Networks with Antagonistic Interactions. | Hongbin Liu, Ming Xu, Yiming Wu, Ning Zheng, Yuangfang Chen, Md. Zakirul Alam Bhuiyan |
| 2017 | ICONIP | Dynamics Analysis of Underactuated Cherrypicker Systems with Friction. | Yiming Wu, Yifa Liu, Ning Sun, Yongchun Fang |
| 2014 | DSN | Stateful Data Delivery Service for Wide Area Monitoring and Control Applications. | Yiming Wu, Davood Babazadeh, Lars Nordstrm |
| 2010 | ICNC | Application of artificial neural networks in the diagnosis of lung cancer by computed tomography. | Yongjun Wu, Na Wang, Hongsheng Zhang, Lijuan Qin, Zhen Yan, Yiming Wu |
| 2009 | ICMLA | Linear Representation Learning Using Sphere Factor Analysis. | Yiming Wu, Xiuwen Liu, Washington Mio |
| 2009 | ICNC | Application of Artificial Neural Network Model Established by Tumor Markers and Bronchofibroscopic Data in Auxiliary Diagnosis of Lung Cancer. | Feifei Feng, Yongjun Wu, Chu Zhang, Yiming Wu |
| 2008 | ICPR | Transductive optimal component analysis. | Yuhua Zhu, Yiming Wu, Xiuwen Liu, Washington Mio |
| 2007 | ICMLA | Scalable optimal linear representation for face and object recognition. | Yiming Wu, Xiuwen Liu, Washington Mio |
| 2007 | IJCNN | Multi-Stage Optimal Component Analysis. | Yiming Wu, Xiuwen Liu, Washington Mio |
| 2006 | ICIP | Two-Stage Optimal Component Analysis. | Yiming Wu, Xiuwen Liu, Washington Mio, Kyle A. Gallivan |
| 2004 | ICPR | Face Recognition Based on Discriminative Manifold Learning. | Yiming Wu, Kap Luk Chan, Lei Wang |