Zhang, Weijia

21 publications

NeurIPS 2025 Correlated Low-Rank Adaptation for ConvNets Wu Ran, Weijia Zhang, ShuYang Pang, Qi Zhu, Jinfan Liu, JingSheng Liu, Xin Cao, Qiang Li, Yichao Yan, Chao Ma

ICCV 2025 Cross-Architecture Distillation Made Simple with Redundancy Suppression Weijia Zhang, Yuehao Liu, Wu Ran, Chao Ma

NeurIPS 2025 Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition Fan Liu, Jindong Han, Tengfei Lyu, Weijia Zhang, Zhe-Rui Yang, Lu Dai, Cancheng Liu, Hao Liu

AISTATS 2025 HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks Xin Liu, Weijia Zhang, Min-Ling Zhang

ICCV 2025 PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation Fei Xie, Zhongdao Wang, Weijia Zhang, Chao Ma

AAAI 2025 Partial Label Causal Representation Learning for Instance-Dependent Supervision and Domain Generalization Yizhi Wang, Weijia Zhang, Min-Ling Zhang

ICCV 2025 VRM: Knowledge Distillation via Virtual Relation Matching Weijia Zhang, Fei Xie, Weidong Cai, Chao Ma

WACV 2024 Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai

AAAI 2024 Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees Weijia Zhang, Chun Kai Ling, Xuanhui Zhang

IJCAI 2024 Exploiting Conjugate Label Information for Multi-Instance Partial-Label Learning Wei Tang, Weijia Zhang, Min-Ling Zhang

ICML 2024 Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach Weijia Zhang, Chenlong Yin, Hao Liu, Xiaofang Zhou, Hui Xiong

NeurIPS 2024 Multi-Instance Partial-Label Learning with Margin Adjustment Wei Tang, Yin-Fang Yang, Zhaofei Wang, Weijia Zhang, Min-Ling Zhang

ECCV 2024 PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen

NeurIPS 2024 QuadMamba: Learning Quadtree-Based Selective Scan for Visual State Space Model Fei Xie, Weijia Zhang, Zhongdao Wang, Chao Ma

NeurIPS 2023 Disambiguated Attention Embedding for Multi-Instance Partial-Label Learning Wei Tang, Weijia Zhang, Min-Ling Zhang

NeurIPSW 2023 Instance-Dependent Partial Label Learning with Identifiable Causal Representations Yizhi Wang, Weijia Zhang, Min-Ling Zhang

NeurIPS 2022 Multi-Instance Causal Representation Learning for Instance Label Prediction and Out-of-Distribution Generalization Weijia Zhang, Xuanhui Zhang, Hanwen Deng, Min-Ling Zhang

IJCAI 2021 Non-I.I.D. Multi-Instance Learning for Predicting Instance and Bag Labels with Variational Auto-Encoder Weijia Zhang

AAAI 2021 Treatment Effect Estimation with Disentangled Latent Factors Weijia Zhang, Lin Liu, Jiuyong Li

AAAI 2020 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Hui Xiong

AAAI 2014 Multi-Instance Learning with Distribution Change Weijia Zhang, Zhi-Hua Zhou