| 2026 | AAAI | Error Slice Discovery via Manifold Compactness. | Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui |
| 2026 | AAAI | Generating Risky Samples with Conformity Constraints via Diffusion Models. | Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui |
| 2026 | CHI | Contrastive Learning for Large-scale Color-Name Dataset: Tackling Sparsity with Negative Sampling. | Kecheng Lu, Yue He, Yunhai Wang |
| 2026 | WWW | Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference. | Yanghui Fu, Yunfei Wang, Hao Zou, Yue He, Haotian Wang, Qing Cheng, Guangquan Cheng, Shixuan Liu |
| 2026 | SIGIR | MedNQS: Medical State-Aware Dual-Stage Next-Turn Question Suggestion for Online Medical Consultations. | Yue He, Dongsheng Bi, Minghui Yang, Jian Wang, Jinjie Gu, Junwei Liu |
| 2026 | SIGIR | Same Frequency Begets Shared Interests: Popular-Niche Wavelet Graph Learning for Multimodal Recommendation. | Yue He, Hongbo Chen, Jingxi Xie, Fengling Li, Jingjing Li |
| 2025 | ADMA | Federated Spatio-Temporal Attention for Time Series Anomaly Detection. | Weicheng Wang, Yue He, Xiaoliang Chen, Duoqian Miao, Hongyun Zhang, Xiaolin Qin, Shangyi Du, Peng Lu |
| 2025 | CSCW | Exploring the Impact of Process Transparency on User Experience in AI Design Agents. | Ailin Yu, Zehui Jin, Yan Zhu, Yue He, Tao Yang, Luping Wang |
| 2025 | CVPR | COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts. | Jiansheng Li, Xingxuan Zhang, Hao Zou, Yige Guo, Renzhe Xu, Yilong Liu, Chuzhao Zhu, Yue He, Peng Cui |
| 2025 | ICCV | ODP-Bench: Benchmarking Out-Of-Distribution Performance Prediction. | Han Yu, Kehan Li, Dongbai Li, Yue He, Xingxuan Zhang, Peng Cui |
| 2025 | IJCNN | Joint Content semantic relation Learning with Mamba for Multimodal Recommendation. | Xinyue Zhang, Yue He, Jing Li, Jun Chang, Kai Zhu, Guohao Li |
| 2025 | KDD | PDMC: Generating Feasible Algorithmic Recourse via Perturbation Data Manifold Constraint. | Zimu Wang, Hao Zou, Han Yu, Shaohua Fan, Haotian Wang, Yue He, Peng Cui |
| 2025 | MICCAI | Efficient Unsupervised Multimodal Brain MR Image Registration with Encoder-Only Network. | Xinyao Yu, Yue He, Yuxi Zhang, Jiazheng Wang, Xiang Chen, Min Liu, Hang Zhang |
| 2025 | SIGIR | Adaptive User Dynamic Interest Guidance for Generative Sequential Recommendation. | Kai Zhu, Jing Li, Jia Wu, Yue He, Jun Chang, Guohao Li, Shuyi Zhang |
| 2024 | AAAI | Full Bayesian Significance Testing for Neural Networks. | Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He |
| 2024 | CVPR | Rethinking the Evaluation Protocol of Domain Generalization. | Han Yu, Xingxuan Zhang, Renzhe Xu, Jiashuo Liu, Yue He, Peng Cui |
| 2024 | ICML | Domain-wise Data Acquisition to Improve Performance under Distribution Shift. | Yue He, Dongbai Li, Pengfei Tian, Han Yu, Jiashuo Liu, Hao Zou, Peng Cui |
| 2024 | IJCAI | Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting. | Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He |
| 2024 | IJCNN | Bilateral Unsymmetrical Graph Contrastive Learning for Recommendation. | Jiaheng Yu, Jing Li, Yue He, Kai Zhu, Shuyi Zhang, Wen Hu |
| 2024 | KDD | Model-Agnostic Random Weighting for Out-of-Distribution Generalization. | Yue He, Pengfei Tian, Renzhe Xu, Xinwei Shen, Xingxuan Zhang, Peng Cui |
| 2023 | AAAI | Covariate-Shift Generalization via Random Sample Weighting. | Yue He, Xinwei Shen, Renzhe Xu, Tong Zhang, Yong Jiang, Wenchao Zou, Peng Cui |
| 2023 | AAAI | TransVCL: Attention-Enhanced Video Copy Localization Network with Flexible Supervision. | Sifeng He, Yue He, Minlong Lu, Chen Jiang, Xudong Yang, Feng Qian, Xiaobo Zhang, Lei Yang, Jiandong Zhang |
| 2023 | AAAI | Stable Learning via Sparse Variable Independence. | Han Yu, Peng Cui, Yue He, Zheyan Shen, Yong Lin, Renzhe Xu, Xingxuan Zhang |
| 2023 | CVPR | NICO++: Towards Better Benchmarking for Domain Generalization. | Xingxuan Zhang, Yue He, Renzhe Xu, Han Yu, Zheyan Shen, Peng Cui |
| 2023 | DASC | BGFormer: Deep Bayersian Gabor Filtering Guided Transformer for Medical Image Denoising. | Yue He, Rui Zhang, Zhichao Jiang, Hu Zhu |
| 2023 | DASC | A Medical Image Fusion Method Based on Detail Enhancement Decomposition. | Rui Zhang, Yue He, Lina Dai, Hu Zhu |
| 2023 | ICCV | CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision. | Shuo Li, Yue He, Weiming Zhang, Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang |
| 2023 | ICCV | MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. | Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang |
| 2022 | AAAI | Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition. | Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du |
| 2022 | CVPR | StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning. | Yihua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao |
| 2022 | ECCV | NICO Challenge: Out-of-Distribution Generalization for Image Recognition Challenges. | Xingxuan Zhang, Yue He, Tan Wang, Jiaxin Qi, Han Yu, Zimu Wang, Jie Peng, Renzhe Xu, Zheyan Shen, Yulei Niu, Hanwang Zhang, Peng Cui |
| 2022 | KDD | Invariant Preference Learning for General Debiasing in Recommendation. | Zimu Wang, Yue He, Jiashuo Liu, Wenchao Zou, Philip S. Yu, Peng Cui |
| 2022 | WWW | CausPref: Causal Preference Learning for Out-of-Distribution Recommendation. | Yue He, Zimu Wang, Peng Cui, Hao Zou, Yafeng Zhang, Qiang Cui, Yong Jiang |
| 2021 | CVPR | A Robust MTMC Tracking System for AI-City Challenge 2021. | Jin Ye, Xipeng Yang, Shuai Kang, Yue He, Weiming Zhang, Leping Huang, Minyue Jiang, Wei Zhang, Yifeng Shi, Meng Xia, Xiao Tan |
| 2021 | CVPR | Deep Stable Learning for Out-of-Distribution Generalization. | Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen |
| 2021 | CVPR | Good Practices and a Strong Baseline for Traffic Anomaly Detection. | Yuxiang Zhao, Wenhao Wu, Yue He, Yingying Li, Xiao Tan, Shifeng Chen |
| 2021 | IWCMC | Q-Learning-based Edge Node Resource Allocation Algorithm in the Environment of Power Distribution Internet of Things. | Xi Chen, Rui Xin, Yue He, Bo Zhang, Peng Lin |
| 2021 | KDD | DARING: Differentiable Causal Discovery with Residual Independence. | Yue He, Peng Cui, Zheyan Shen, Renzhe Xu, Furui Liu, Yong Jiang |
| 2021 | KDD | A Unified Solution to Constrained Bidding in Online Display Advertising. | Yue He, Xiujun Chen, Di Wu, Junwei Pan, Qing Tan, Chuan Yu, Jian Xu, Xiaoqiang Zhu |
| 2021 | KDD | Purify and Generate: Learning Faithful Item-to-Item Graph from Noisy User-Item Interaction Behaviors. | Yue He, Yancheng Dong, Peng Cui, Yuhang Jiao, Xiaowei Wang, Ji Liu, Philip S. Yu |
| 2020 | AICCSA | Selective Model for Few Shot Classification. | Yuping Wang, Qitong Zheng, Yue He |
| 2020 | IGARSS | Change of Impervious Surface of Chengdu City, China. | Yue He, Xiaobo Zhang, Jibao Shi, Jun Xia, Kai Chen, Tao Weng, Zezhong Zheng |
| 2020 | KDD | Learning Stable Graphs from Multiple Environments with Selection Bias. | Yue He, Peng Cui, Jianxin Ma, Hao Zou, Xiaowei Wang, Hongxia Yang, Philip S. Yu |
| 2019 | BMVC | One-shot Face Reenactment. | Yunxuan Zhang, Siwei Zhang, Yue He, Cheng Li, Chen Change Loy, Ziwei Liu |
| 2018 | AAAI | Merge or Not? Learning to Group Faces via Imitation Learning. | Yue He, Kaidi Cao, Cheng Li, Chen Change Loy |
| 2018 | ICMV | The realization of laser SLAM based on Windows system. | Qujiang Lei, Dacai Liu, Hongda Zhang, Yue He, Yang Yang, Weijun Wang |
| 2018 | ICMV | Applications of hand gestures recognition in industrial robots: a review. | Qujiang Lei, Hongda Zhang, Zanwu Xia, Yang Yang, Yue He, Shoubin Liu |
| 2018 | IJCAI | Progressive Generative Hashing for Image Retrieval. | Yuqing Ma, Yue He, Fan Ding, Sheng Hu, Jun Li, Xianglong Liu |
| 2017 | ICIP | IMM filter based local graph matching for plant cell lineage estimation. | Min Liu, Yue He, Jieqin Li, Xiaoyan Liu, Hongzhong Zhang |
| 2017 | IGARSS | Classification based on deep convolutional neural networks with hyperspectral image. | Zezhong Zheng, Yameng Zhang, Liutong Li, Mingcang Zhu, Yong He, Minqi Li, Zhengqiang Guo, Yue He, Zhenlu Yu, Xiaocheng Yang, Xin Liu, Jianhua Luo, Taoli Yang, Yalan Liu, Jiang Li |
| 2014 | CHI | UbiSpoon: pervasive monitoring of nervous system diseases through daily life. | Yineng Chen, Feng Tian, Xinda Zeng, Yue He, Chaoci Jiang, Xiaolong (Luke) Zhang, Yicheng Zhu, Hongan Wang |
| 2013 | KSEM | Multiobjective-integer-programming-based Sensitive Frequent Itemsets Hiding. | Mingzheng Wang, Yue He, Donghua Pan |
| 2009 | INFOCOM | A Queueing Model Framework of PCE-Based Inter-Area Path Computation. | Juanjuan Yu, Yue He, Kai Wu, Marco Tacca, Andrea Fumagalli, Jean-Philippe Vasseur |
| 2008 | KES | Application Study in Decision Support with Fuzzy Cognitive Map. | Yue He |
| 2004 | BIBE | A Service Discovery Approach in Support of Web Service Integration. | Zina Ben-Miled, Lingma Lu, Malika Mahoui, Jessica Chen, Omran A. Bukhres, Ning Gao, Yue He |