Yu, Hang

29 publications

ICLR 2025 Advancing Out-of-Distribution Detection via Local Neuroplasticity Alessandro Canevaro, Julian Schmidt, Mohammad Sajad Marvi, Hang Yu, Georg Martius, Julian Jordan

NeurIPS 2025 Code Graph Model (CGM): A Graph-Integrated Large Language Model for Repository-Level Software Engineering Tasks Hongyuan Tao, Ying Zhang, Zhenhao Tang, Hongen Peng, Xukun Zhu, Bingchang Liu, Yingguang Yang, Ziyin Zhang, Zhaogui Xu, Haipeng Zhang, Linchao Zhu, Rui Wang, Hang Yu, Jianguo Li, Peng Di

AAAI 2025 Context-Aware Graph Neural Network for Graph-Based Fraud Detection with Extremely Limited Labels Pengbo Li, Hang Yu, Xiangfeng Luo

ICCV 2025 DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover Youzhuo Wang, Jiayi Ye, Chuyang Xiao, Yiming Zhong, Heng Tao, Hang Yu, Yumeng Liu, Jingyi Yu, Yuexin Ma

NeurIPS 2025 Dynamic Shadow Unveils Invisible Semantics for Video Outpainting Ruilin Li, Hang Yu, Jiayan Qiu

MLJ 2025 Entangle-Then-Disentangle: A Novel Approach for Enhancing Large Vision-Language Model Jiajun Yuan, Haiting Zheng, Hang Yu, Xiangfeng Luo

NeurIPS 2025 Nonparametric Quantile Regression with ReLU-Activated Recurrent Neural Networks Hang Yu, Lyumin Wu, Wenxin Zhou, Zhao Ren

CVPR 2025 Pay Attention to the Foreground in Object-Centric Learning Pinzhuo Tian, Shengjie Yang, Hang Yu, Alex Kot

AAAI 2025 Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-Relevant Logical Forms Jianqi Gao, Jian Cao, Ranran Bu, Nengjun Zhu, Wei Guan, Hang Yu

ICLR 2025 Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions Zhihao He, Hang Yu, Zi Gong, Shizhan Liu, Jianguo Li, Weiyao Lin

NeurIPS 2025 WeatherPrompt: Multi-Modality Representation Learning for All-Weather Drone Visual Geo-Localization Jiahao Wen, Hang Yu, Zhedong Zheng

ICLR 2024 AmortizedPeriod: Attention-Based Amortized Inference for Periodicity Identification Hang Yu, Cong Liao, Ruolan Liu, Jianguo Li, Hu Yun, Xinzhe Wang

ECCV 2024 Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene Ruiyang Zhang, Hu Zhang, Hang Yu, Zhedong Zheng

ECCV 2024 BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression Yufeng Zhang, Hang Yu, Shizhan Liu, Wenrui Dai, Weiyao Lin

AAAI 2024 Barely Supervised Learning for Graph-Based Fraud Detection Hang Yu, Zhengyang Liu, Xiangfeng Luo

ICML 2024 DUPLEX: Dual GAT for Complex Embedding of Directed Graphs Zhaoru Ke, Hang Yu, Jianguo Li, Haipeng Zhang

NeurIPS 2024 DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation Hongyuan Tao, Hang Yu, Jianguo Li

ICLR 2024 Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin

NeurIPS 2024 Focus on What Matters: Separated Models for Visual-Based RL Generalization Di Zhang, Bowen Lv, Hai Zhang, Feifan Yang, Junqiao Zhao, Hang Yu, Chang Huang, Hongtu Zhou, Chen Ye, Changjun Jiang

CVPR 2024 Shadow-Enlightened Image Outpainting Hang Yu, Ruilin Li, Shaorong Xie, Jiayan Qiu

TMLR 2024 Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code Ziyin Zhang, Chaoyu Chen, Bingchang Liu, Cong Liao, Zi Gong, Hang Yu, Jianguo Li, Rui Wang

NeurIPS 2023 BasisFormer: Attention-Based Time Series Forecasting with Learnable and Interpretable Basis Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin

MLJ 2023 DAFS: A Domain Aware Few Shot Generative Model for Event Detection Nan Xia, Hang Yu, Yin Wang, Junyu Xuan, Xiangfeng Luo

NeurIPS 2023 How to Fine-Tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Xiao Zhang, Hongtu Zhou, Chang Huang, Chen Ye

ICLR 2022 Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting Shizhan Liu, Hang Yu, Cong Liao, Jianguo Li, Weiyao Lin, Alex X. Liu, Schahram Dustdar

ECCV 2020 Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out Aishan Liu, Jiakai Wang, Xianglong Liu, Bowen Cao, Chongzhi Zhang, Hang Yu

JMLR 2020 Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination Hang Yu, Songwei Wu, Luyin Xin, Justin Dauwels

IJCAI 2018 CSNN: An Augmented Spiking Based Framework with Perceptron-Inception Qi Xu, Yu Qi, Hang Yu, Jiangrong Shen, Huajin Tang, Gang Pan

IJCAI 2018 Jointly Learning Network Connections and Link Weights in Spiking Neural Networks Yu Qi, Jiangrong Shen, Yueming Wang, Huajin Tang, Hang Yu, Zhaohui Wu, Gang Pan