Papers
TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling
Qirong Yang, Yucheng Guo, Zicheng Liu et al.
Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack
Qiantao Yang, Liquan Chen, Mingfu Xue et al.
Proactive Constrained Policy Optimization with Preemptive Penalty
Ning Yang, Pengyu Wang, Guoqing Liu et al.
SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data
Mingkun Yang, Ran Zhu, Qing Wang et al.
Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics
Lincen Yang, Zhong Li, Matthijs van Leeuwen et al.
Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction
Liang Yang, Hui Ning, Jiaming Zhuo et al.
ProBench: Benchmarking GUI Agents with Accurate Process Information
Leyang Yang, Ziwei Wang, Xiaoxuan Tang et al.
Multi-View Clustering with Granularity-Aware Pseudo Supervision
Jie Yang, Cheng-You Lu, Zhongli Wang et al.
Bridging the Modality Reliability Gap in Drug-Target Interaction Prediction via a Confidence-aware Multimodal Fusion Framework
Jie Yang, Junxiong Zhang, Kun Qian et al.
NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction
Jiawen Yang, Yihui Cao, Xuanyu Tian et al.
Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation
Hongpeng Yang, Yingxin Chen, Shiqiang Ma et al.
Tensorized Label Learning via Balanced Tensor Regression
Guangyu Yang, Yuzhuo Feng, Qin Li et al.
PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation
Can Yang, Zhenzhong Wang, Junyuan Liu et al.
Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization
Ge Yan, Yuchen Wang, Junchi Yan
Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning
Fengyu Yan, Di Jin, Xiaobao Wang et al.
Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis
Rundong Xue, Hao Hu, Zhitao Zeng et al.
Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification
Meiting Xue, Miaoqi Li, Yukun Shi et al.
MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains
Leyan Xue, Changqing Zhang, Kecheng Xue et al.
CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product
Kaiwen Xue, Chenglong Li, Zhonghong Ou et al.
ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting
Jiaqi Xue, Hongji Dong, Yucen Gao et al.
Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory
Huiyan Xue, Xuming Ran, Yaxin Li et al.
Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits
Bo Xue, Yuanyu Wan, Zhichao Lu et al.
SSHPool: The Separated Subgraph-based Hierarchical Pooling
Zhuo Xu, Lu Bai, Lixin Cui et al.
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
Yuzhuang Xu, Xu Han, Yuanchi Zhang et al.
Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs
Yuanyuan Xu, Wenjie Zhang, Ying Zhang et al.