| 2026 | AAAI | Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models. | Yulin He, Wei Chen, Xinbiao Gan, Siqi Wang, Haotian Wang, Yusong Tan |
| 2025 | AAAI | Achieving Speed-Accuracy Balance in Vision-based 3D Occupancy Prediction via Geometric-Semantic Disentanglement. | Yulin He, Wei Chen, Siqi Wang, Tianci Xun, Yusong Tan |
| 2025 | AAAI | Unified Coding for Both Human Perception and Generalized Machine Analytics with CLIP Supervision. | Kangsheng Yin, Quan Liu, Xuelin Shen, Yulin He, Wenhan Yang, Shiqi Wang |
| 2025 | ICANN | IHCP: Image Hiding Against Blind Compression Based on Quality Prediction. | Hao Cao, Hongxia Wang, Yulin He, Wanjie Li |
| 2025 | ICASSP | A Cost-effective Solution for Remote Sensing Image Segmentation via Train/Test-Time Adaptation. | Wei Chen, Xin Luo, Yulin He, Tianrui Liu, Di Wu, Tianhang Guo, Yuhang Li, Yuhua Tang |
| 2025 | PG | Breaking the Single-Stage Barrier: Synergistic Data-Model Adaptation at Test-Time for Medical Image Segmentation. | Wenjuan Zhou, Wei Chen, Yulin He, Di Wu, Chen Li |
| 2024 | ICASSP | Image Coding for Analytics via Adversarially Augmented Adaptation. | Xuelin Shen, Kangsheng Yin, Xu Wang, Yulin He, Shiqi Wang, Wenhan Yang |
| 2023 | ICASSP | Adaptive Scale and Spatial Aggregation for Real-Time Object Detection. | Wei Chen, Yulin He, Zhengfa Liang, Yulan Guo |
| 2023 | ICDM | Birds of a Feather Purchase Together: Accurate Social Network Inference using Transaction Data. | Jiaxing Shen, Yulin He, Yunfei Long, Jiaqi Wen, Yanwen Wang, Yu Yang |
| 2023 | IJCAI | Reconstruction-Aware Prior Distillation for Semi-supervised Point Cloud Completion. | Zhaoxin Fan, Yulin He, Zhicheng Wang, Kejian Wu, Hongyan Liu, Jun He |
| 2023 | WSC | Input Uncertainty Quantification Via Simulation Bootstrapping. | Manjing Zhang, Yulin He, Guangwu Liu, Shan Dai |
| 2022 | DASFAA | A Novel Method to Create Synthetic Samples with Autoencoder Multi-layer Extreme Learning Machine. | Yulin He, Qihang Huang, Shengsheng Xu, Joshua Zhexue Huang |
| 2022 | ICANN | GCMK: Detecting Spam Movie Review Based on Graph Convolutional Network Embedding Movie Background Knowledge. | Hao Cao, Hanyue Li, Yulin He, Xu Yan, Fei Yang, Haizhou Wang |
| 2022 | ICASSP | Adaptive Pseudo Labeling for Source-Free Domain Adaptation in Medical Image Segmentation. | Chen Li, Wei Chen, Xin Luo, Yulin He, Yusong Tan |
| 2022 | IJCAI | SCMT: Self-Correction Mean Teacher for Semi-supervised Object Detection. | Feng Xiong, Jiayi Tian, Zhihui Hao, Yulin He, Xiaofeng Ren |
| 2022 | IJCNN | Auto-Encoding Independent Attribute Transformation for Naive Bayesian Classifier. | Guiliang Ou, Yulin He, Philippe Fournier-Viger, Joshua Zhexue Huang |
| 2021 | IJCNN | A Compressed Hidden Naive Bayesian Classifier. | Guiliang Ou, Yulin He, Joshua Zhexue Huang |
| 2020 | ICA3PP | Attribute Bagging-Based Extreme Learning Machine. | Xuan Ye, Yulin He, Joshua Zhexue Huang |
| 2020 | ICPR | CenterRepp: Predict Central Representative Point Set's Distribution For Detection. | Yulin He, Limeng Zhang, Wei Chen, Xin Luo, Xiaogang Jia, Chen Li |
| 2019 | IJCAI | A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. | Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun |
| 2019 | PAKDD | Neural Network-Based Deep Encoding for Mixed-Attribute Data Classification. | Tinglin Huang, Yulin He, De-Xin Dai, Wenting Wang, Joshua Zhexue Huang |
| 2014 | ICMLC | Comparative Analysis of Density Estimation Based Kernel Regression. | Junying Chen, Yulin He |
| 2009 | ISNN | Research on Case Retrieval of Case-Based Reasoning of Motorcycle Intelligent Design. | Fanglan Ma, Yulin He, Shangping Li, Yuanling Chen, Shi Liang |
| 2006 | ISNN | Knowledge Acquisition Based on Neural Networks for Performance Evaluation of Sugarcane Harvester. | Fanglan Ma, Shangping Li, Yulin He, Shi Liang, Shan-Shan Hu |