Papers
Renormalization Group Guided Tensor Network Structure Search
Maolin Wang, Bowen Yu, Sheng Zhang et al.
REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks
Linna Wang, Zhixuan You, Qihui Zhang et al.
FeTS: A Feature-Aware Framework for Time Series Forecasting
Le Wang, Jianyong Chen, Songbai Liu
Credal Ensemble Distillation for Uncertainty Quantification
Kaizheng Wang, Fabio Cuzzolin, David Moens et al.
Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors
Jinping Wang, Zhiqiang Gao, Zhang Dinggen et al.
Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning
Jinping Wang, Zhiqiang Gao, Zhiwu Xie
CoRE-Learning with Look-Ahead and Immediate Resource Allocation
Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou
Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble
Jihang Wang, Dongcheng Zhao, Ruolin Chen et al.
RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting
Jieting Wang, Xiaolei Shang, Feijiang Li et al.
Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting
Jieting Wang, Huimei Shi, Feijiang Li et al.
Anchor-Driven Nyström for Deep Graph-Level Clustering
Jiaxin Wang, Wenxuan Tu, Lingren Wang et al.
Variation-Bounded Loss for Noise-Tolerant Learning
Jialiang Wang, Xiong Zhou, Xianming Liu et al.
AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models
Jiacheng Wang, Tianle Chen, Pengyu Cheng et al.
Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models
Hualei Wang, Yiming Li, Shuo Ma et al.
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
Hua Wang, Jinghao Lu, Fan Zhang
Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling
Hongwei Wang, Yangru Huang, Guangyao Chen et al.
MMIFEvol: Towards Evolutionary Multimodal Instruction Following
Haoyu Wang, Sihang Jiang, Xiangru Zhu et al.
Integral-based Knockoffs Inference for Partially Linear Models
Hao Wang, Biqin Song, Rushi Lan et al.
X-SAM: From Segment Anything to Any Segmentation
Hao Wang, Limeng Qiao, Zequn Jie et al.
Learning with Preserving for Continual Multitask Learning
Hanchen David Wang, Siwoo Bae, Zirong Chen et al.
U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions
Guanjun Wang, Jianhao Zhang, Jiaming Ma et al.
Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation
Fan Wang, Zhongyi Han, Yongshun Gong et al.
TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents
Dawei Wang, Chengming Zhou, Di Zhao et al.
Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series
Congyu Wang, Mingjing Du, Xiang Jiang
CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices
Chengcheng Wang, Haowen He, Liang Zhao et al.