Zhao, Wei

42 publications

AAAI 2025 AGMixup: Adaptive Graph Mixup for Semi-Supervised Node Classification Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao

NeurIPS 2025 Beyond Average Value Function in Precision Medicine: Maximum Probability-Driven Reinforcement Learning for Survival Analysis Jianqi Feng, Chengchun Shi, Zhenke Wu, Xiaodong Yan, Wei Zhao

AAAI 2025 Biased Incomplete Multi-View Learning Haishun Chen, Cai Xu, Ziyu Guan, Wei Zhao, Jinlong Liu

ICCV 2025 CARP: Visuomotor Policy Learning via Coarse-to-Fine Autoregressive Prediction Zhefei Gong, Pengxiang Ding, Shangke Lyu, Siteng Huang, Mingyang Sun, Wei Zhao, Zhaoxin Fan, Donglin Wang

AAAI 2025 Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference Han Zhao, Min Zhang, Wei Zhao, Pengxiang Ding, Siteng Huang, Donglin Wang

NeurIPS 2025 Defining and Discovering Hyper-Meta-Paths for Heterogeneous Hypergraphs Yaming Yang, Ziyu Zheng, Weigang Lu, Zhe Wang, Xinyan Huang, Wei Zhao, Ziyu Guan

ICLR 2025 Democratic Training Against Universal Adversarial Perturbations Bing Sun, Jun Sun, Wei Zhao

WACV 2025 Endoscopic Scoring and Localization in Unconstrained Clinical Trial Videos Jinlin Xiang, Hillol Sarker, Bozhao Qi, Ruisu Zhang, Roger Trullo, Salvatore Badalamenti, Maria Wiekowski, Annie Kruger, Etienne Pochet, Qi Tang, Wei Zhao

ICCV 2025 Environment-Agnostic Pose: Generating Environment-Independent Object Representations for 6d Pose Estimation Shaobo Zhang, Yuhang Huang, Wanqing Zhao, Wei Zhao, Ziyu Guan, Jinye Peng

NeurIPS 2025 GD$^2$: Robust Graph Learning Under Label Noise via Dual-View Prediction Discrepancy Kailai Li, Jiong Lou, Jiawei Sun, Honghong Zeng, Wen Li, Chentao Wu, Yuan Luo, Wei Zhao, Shouguo Du, Jie Li

CVPR 2025 Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens Kaihang Pan, Wang Lin, Zhongqi Yue, Tenglong Ao, Liyu Jia, Wei Zhao, Juncheng Li, Siliang Tang, Hanwang Zhang

IJCAI 2025 Leveraging Peer-Informed Label Consistency for Robust Graph Neural Networks with Noisy Labels Kailai Li, Jiawei Sun, Jiong Lou, Zhanbo Feng, Hefeng Zhou, Chentao Wu, Guangtao Xue, Wei Zhao, Jie Li

AAAI 2025 Local Conditional Controlling for Text-to-Image Diffusion Models Yibo Zhao, Liang Peng, Yang Yang, Zekai Luo, Hengjia Li, Yao Chen, Zheng Yang, Xiaofei He, Wei Zhao, Qinglin Lu, Wei Liu, Boxi Wu

CoRL 2025 Long-VLA: Unleashing Long-Horizon Capability of Vision Language Action Model for Robot Manipulation Yiguo Fan, Shuanghao Bai, Xinyang Tong, Pengxiang Ding, Yuyang Zhu, Hongchao Lu, Fengqi Dai, Wei Zhao, Yang Liu, Siteng Huang, Zhaoxin Fan, Badong Chen, Donglin Wang

ICML 2025 Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation Shuanghao Bai, Wanqi Zhou, Pengxiang Ding, Wei Zhao, Donglin Wang, Badong Chen

NeurIPS 2025 Selftok-Zero: Reinforcement Learning for Visual Generation via Discrete and Autoregressive Visual Tokens Bohan Wang, Mingze Zhou, Zhongqi Yue, Wang Lin, Kaihang Pan, Liyu Jia, Wentao Hu, Wei Zhao, Hanwang Zhang

ICLR 2025 VLAS: Vision-Language-Action Model with Speech Instructions for Customized Robot Manipulation Wei Zhao, Pengxiang Ding, Zhang Min, Zhefei Gong, Shuanghao Bai, Han Zhao, Donglin Wang

CVPR 2024 C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction Yiqun Lin, Jiewen Yang, Hualiang Wang, Xinpeng Ding, Wei Zhao, Xiaomeng Li

AAAI 2024 Entropy Induced Pruning Framework for Convolutional Neural Networks Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu

AAAI 2024 NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin

TMLR 2024 Normed Spaces for Graph Embedding Diaaeldin Taha, Wei Zhao, J. Maxwell Riestenberg, Michael Strube

AAAI 2024 Reliable Conflictive Multi-View Learning Cai Xu, Jiajun Si, Ziyu Guan, Wei Zhao, Yue Wu, Xiyue Gao

JMLR 2024 Towards Explainable Evaluation Metrics for Machine Translation Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger

IJCAI 2024 Trusted Multi-View Learning with Label Noise Cai Xu, Yilin Zhang, Ziyu Guan, Wei Zhao

NeurIPSW 2023 Data-Driven Neural-ODE Modeling for Breast Cancer Tumor Dynamics and Progression-Free Survival Predictions Jinlin Xiang, Bozhao Qi, Marc Cerou, Wei Zhao, Qi Tang

ECML-PKDD 2023 Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices Wei Zhao, Federico López, J. Maxwell Riestenberg, Michael Strube, Diaaeldin Taha, Steve Trettel

AAAI 2023 Progressive Deep Multi-View Comprehensive Representation Learning Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song

IJCAI 2022 Charge Prediction by Constitutive Elements Matching of Crimes Jie Zhao, Ziyu Guan, Cai Xu, Wei Zhao, Enze Chen

ACML 2022 Constrained Density Matching and Modeling for Cross-Lingual Alignment of Contextualized Representations Wei Zhao, Steffen Eger

ECCV 2022 Learning Quality-Aware Dynamic Memory for Video Object Segmentation Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang

CVPRW 2022 NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results Longguang Wang, Yulan Guo, Yingqian Wang, Juncheng Li, Shuhang Gu, Radu Timofte, Liangyu Chen, Xiaojie Chu, Wenqing Yu, Kai Jin, Zeqiang Wei, Sha Guo, Angulia Yang, Xiuzhuang Zhou, Guodong Guo, Bin Dai, Feiyue Peng, Huaxin Xiao, Shen Yan, Yuxiang Liu, Hanxiao Cai, Pu Cao, Yang Nie, Lu Yang, Qing Song, Xiaotao Hu, Jun Xu, Mai Xu, Junpeng Jing, Xin Deng, Qunliang Xing, Minglang Qiao, Zhenyu Guan, Wenlong Guo, Chenxu Peng, Zan Chen, Junyang Chen, Hao Li, Junbin Chen, Weijie Li, Zhijing Yang, Gen Li, Aijin Li, Lei Sun, Dafeng Zhang, Shizhuo Liu, Jiangtao Zhang, Yanyun Qu, Hao-Hsiang Yang, Zhi-Kai Huang, Wei-Ting Chen, Hua-En Chang, Sy-Yen Kuo, Qiaohui Liang, Jianxin Lin, Yijun Wang, Lianying Yin, Rongju Zhang, Wei Zhao, Peng Xiao, Rongjian Xu, Zhilu Zhang, Wangmeng Zuo, Hansheng Guo, Guangwei Gao, Tieyong Zeng, Huicheng Pi, Shunli Zhang, Joohyeok Kim, HyeonA Kim, Eunpil Park, Jae-Young Sim, Jucai Zhai, Pengcheng Zeng, Yang Liu, Chihao Ma, Yulin Huang, Junying Chen

NeurIPS 2022 Self-Supervised Heterogeneous Graph Pre-Training Based on Structural Clustering Yaming Yang, Ziyu Guan, Zhe Wang, Wei Zhao, Cai Xu, Weigang Lu, Jianbin Huang

AAAI 2019 A Human-like Semantic Cognition Network for Aspect-Level Sentiment Classification Zeyang Lei, Yujiu Yang, Min Yang, Wei Zhao, Jun Guo, Yi Liu

IJCAI 2019 Adversarial Incomplete Multi-View Clustering Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling

AAAI 2019 Answer Identification from Product Reviews for User Questions by Multi-Task Attentive Networks Long Chen, Ziyu Guan, Wei Zhao, Wanqing Zhao, Xiaopeng Wang, Zhou Zhao, Huan Sun

IJCAI 2018 A Multi-Task Learning Approach for Image Captioning Wei Zhao, Benyou Wang, Jianbo Ye, Min Yang, Zhou Zhao, Ruotian Luo, Yu Qiao

AAAI 2018 A Semi-Supervised Network Embedding Model for Protein Complexes Detection Wei Zhao, Jia Zhu, Min Yang, Danyang Xiao, Gabriel Pui Cheong Fung, Xiaojun Chen

IJCAI 2018 Deep Multi-View Concept Learning Cai Xu, Ziyu Guan, Wei Zhao, Yunfei Niu, Quan Wang, Zhiheng Wang

IJCAI 2018 PLASTIC: Prioritize Long and Short-Term Information in Top-N Recommendation Using Adversarial Training Wei Zhao, Benyou Wang, Jianbo Ye, Yongqiang Gao, Min Yang, Xiaojun Chen

AAAI 2018 Substructure Assembling Network for Graph Classification Xiaohan Zhao, Bo Zong, Ziyu Guan, Kai Zhang, Wei Zhao

IJCAI 2018 Tag-Based Weakly-Supervised Hashing for Image Retrieval Ziyu Guan, Fei Xie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, Jinye Peng

IJCAI 2016 Weakly-Supervised Deep Learning for Customer Review Sentiment Classification Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai