Papers
Beyond Conservation: Flexible Molecular Assembly with Unbalanced Diffusion Bridge
Rongchao Zhang, Yiwei Lou, Yu Huang et al.
FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation
Peng Zhang, Wanggui He, Mushui Liu et al.
VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing
Peining Zhang, Jinbo Bi, Minghu Song
SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models
Longteng Zhang, Sen Wu, Shuai Hou et al.
SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels
Liyun Zhang, Zheng Lian, Hong Liu et al.
QuMAB: Query-based Multi-annotator Behavior Pattern Learning
Liyun Zhang, Zheng Lian, Hong Liu et al.
Parameter-Free Clustering via Self-Supervised Consensus Maximization
Lijun Zhang, Suyuan Liu, Siwei Wang et al.
TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models
Li Zhang, Zhongxuan Han, XiaoHua Feng et al.
EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion
Li Zhang, Pinhan Fu, Li Lv et al.
HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment
Letian Zhang, GuangHao Meng, XuDong Ren et al.
Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation
Leqi Zhang, Wayne Lu, Haiyang Zhang et al.
Vulnerability-Aware Robust Multimodal Adversarial Training
Junrui Zhang, Xinyu Zhao, Jie Peng et al.
PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation
Jun Zhang, Yangyang Zhou, Tiantian Zhu et al.
GAHMN: A Generative Approach for High-Dimensional Mediation Analysis
Jiaming Zhang, Yiqi Lin, Rou Zhang et al.
MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation
Jiale Zhang, Yanan Wang, Bosen Rao et al.
Sparse Tuning Enhances Plasticity in PTM-based Continual Learning
Huan Zhang, Shenghua Fan, Shuyu Dong et al.
MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting
Hu Zhang, Zhien Dai, Zhaohui Tang et al.
TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models
Honglei Zhang, Zhiwei Li, Haoxuan Li et al.
Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks
He Zhang, Bang Wu, Xiaoning Liu et al.
FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering
Haodong Zhang, Xinyue Wang, Tao Ren et al.
Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models
Fuyao Zhang, Xinyu Yan, Tiantong Wu et al.
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
Enming Zhang, Liwen Cao, Yanru Wu et al.
FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions
Boyang Zhang, Daning Cheng, Yunquan Zhang et al.
FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting
Boya Zhang, Shuaijie Yin, Huiwen Zhu et al.
PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration
Junfei Zhan, Haoxun Shen, Zheng Lin et al.