Luo, Yong

40 publications

IJCAI 2025 A Dual Stream Visual Tokenizer for LLM Image Generation Yongqian Li, Yong Luo, Xiantao Cai, Zheng He, Zhennan Meng, Nidong Wang, Yunlin Chen, Zhifei Li

NeurIPS 2025 AiDE-Q: Synthetic Labeled Datasets Can Enhance Learning Models for Quantum Property Estimation Xinbiao Wang, Yuxuan Du, Zihan Lou, Yang Qian, Kaining Zhang, Yong Luo, Bo Du, Dacheng Tao

ICML 2025 Decision Mixer: Integrating Long-Term and Local Dependencies via Dynamic Token Selection for Decision-Making Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Bo Du, Jialie Shen, Dacheng Tao

AAAI 2025 Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models Wenbin Wang, Liang Ding, Minyan Zeng, Xiabin Zhou, Li Shen, Yong Luo, Wei Yu, Dacheng Tao

ICLR 2025 FIRING-Net: A Filtered Feature Recycling Network for Speech Enhancement Xinmeng Xu, Yiqun Zhang, Jizhen Li, Yuhong Yang, Yong Luo, Weiping Tu

AAAI 2025 MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading Wenhao Zhang, Jun Wang, Yong Luo, Lei Yu, Wei Yu, Zheng He, Jialie Shen

NeurIPS 2025 Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao

NeurIPS 2025 MixPrompt: Efficient Mixed Prompting for Multimodal Semantic Segmentation Zhiwei Hao, Zhongyu Xiao, Jianyuan Guo, Li Shen, Yong Luo, Han Hu, Dan Zeng

IJCAI 2025 Open-Vocabulary Fine-Grained Hand Action Detection Ting Zhe, Mengya Han, Xiaoshuai Hao, Yong Luo, Zheng He, Xiantao Cai, Jing Zhang

ICML 2025 Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG Wenbin Wang, Yongcheng Jing, Liang Ding, Yingjie Wang, Li Shen, Yong Luo, Bo Du, Dacheng Tao

NeurIPS 2025 Self-Evolving Pseudo-Rehearsal for Catastrophic Forgetting with Task Similarity in LLMs Jun Wang, Liang Ding, Shuai Wang, Hongyu Li, Yong Luo, Huangxuan Zhao, Han Hu, Bo Du

ICML 2025 Targeted Low-Rank Refinement: Enhancing Sparse Language Models with Precision Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao

NeurIPS 2025 Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings Hongling Zheng, Li Shen, Yong Luo, Deheng Ye, Shuhan Xu, Bo Du, Jialie Shen, Dacheng Tao

ICML 2024 Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases Ziyi Zhang, Sen Zhang, Yibing Zhan, Yong Luo, Yonggang Wen, Dacheng Tao

AAAI 2024 Cycle Self-Refinement for Multi-Source Domain Adaptation Chaoyang Zhou, Zengmao Wang, Bo Du, Yong Luo

NeurIPS 2024 Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao

AAAI 2024 Decomposing Semantic Shifts for Composed Image Retrieval Xingyu Yang, Daqing Liu, Heng Zhang, Yong Luo, Chaoyue Wang, Jing Zhang

IJCAI 2024 Eliminating the Cross-Domain Misalignment in Text-Guided Image Inpainting Muqi Huang, Chaoyue Wang, Yong Luo, Lefei Zhang

CVPR 2024 Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names Yapeng Li, Yong Luo, Zengmao Wang, Bo Du

IJCAI 2024 Joint Input and Output Coordination for Class-Incremental Learning Shuai Wang, Yibing Zhan, Yong Luo, Han Hu, Wei Yu, Yonggang Wen, Dacheng Tao

NeurIPS 2024 MG-Net: Learn to Customize QAOA with Circuit Depth Awareness Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao

NeurIPS 2024 MMSite: A Multi-Modal Framework for the Identification of Active Sites in Proteins Song Ouyang, Huiyu Cai, Yong Luo, Kehua Su, Lefei Zhang, Bo Du

ICML 2024 Merging Multi-Task Models via Weight-Ensembling Mixture of Experts Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao

ICLR 2024 Parameter-Efficient Multi-Task Model Fusion with Partial Linearization Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao

IJCAI 2024 Zero-Shot Learning for Preclinical Drug Screening Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu, Wenbin Hu

AAAI 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang, Li Shen, Yong Luo, Han Hu, Kehua Su, Yonggang Wen, Dacheng Tao

NeurIPS 2023 Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An, Li Shen, Han Hu, Yong Luo

IJCAI 2023 Improving Heterogeneous Model Reuse by Density Estimation Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao

ICLR 2023 Symmetric Pruning in Quantum Neural Networks Xinbiao Wang, Junyu Liu, Tongliang Liu, Yong Luo, Yuxuan Du, Dacheng Tao

AAAI 2022 Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation Chao Chen, Yibing Zhan, Baosheng Yu, Liu Liu, Yong Luo, Bo Du

ICCV 2021 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan

IJCAI 2018 Deep Discrete Prototype Multilabel Learning Xiaobo Shen, Weiwei Liu, Yong Luo, Yew-Soon Ong, Ivor W. Tsang

IJCAI 2018 Online Heterogeneous Transfer Metric Learning Yong Luo, Tongliang Liu, Yonggang Wen, Dacheng Tao

AAAI 2017 Cost-Sensitive Feature Selection via F-Measure Optimization Reduction Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao

IJCAI 2017 Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning Yong Luo, Dacheng Tao, Yonggang Wen

IJCAI 2017 General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer Yong Luo, Yonggang Wen, Tongliang Liu, Dacheng Tao

IJCAI 2016 On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning Yong Luo, Yonggang Wen, Dacheng Tao

AAAI 2015 Low-Rank Multi-View Learning in Matrix Completion for Multi-Label Image Classification Meng Liu, Yong Luo, Dacheng Tao, Chao Xu, Yonggang Wen

AAAI 2014 Pre-Trained Multi-View Word Embedding Using Two-Side Neural Network Yong Luo, Jian Tang, Jun Yan, Chao Xu, Zheng Chen

AAAI 2013 Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu