Papers
Optimized Algorithms for Text Clustering with LLM-Generated Constraints
Chaoqi Jia, Weihong Wu, Longkun Guo et al.
Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation
Shulei Ji, Zihao Wang, Jiaxing Yu et al.
HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning
Qirui Ji, Bin Qin, Yifan Jin et al.
Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement
Kangye Ji, Fei Cheng, Zeqing Wang et al.
CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design
Daeheon Jeong, Seoyeon Byun, Kihoon Son et al.
An Information Theoretic Evaluation Metric for Strong Unlearning
Dongjae Jeon, Wonje Jeung, Taeheon Kim et al.
LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models
Amit Jena, Na Li, Le Xie
Enhancing Chemical Explainability Through Counterfactual Masking
Łukasz Janisiów, Marek Kochańczyk, Bartosz Michał Zieliński et al.
Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations
Sooyong Jang, Insup Lee
On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples
Cheongjae Jang, Jonghyun Won, Soyeon Jun et al.
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters
Hiro Ishii, Kenta Niwa, Hiroshi Sawada et al.
Oxytrees: Model Trees for Bipartite Learning
Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi et al.
Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
Bingyu Hui, Lebin Yu, Quanming Yao et al.
Wasserstein-Aware Transfer: Class-Level Alignment for Robust Diffusion Model Adaptation
Zixian Huang, Chuan-Xian Ren
FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD
Zhenyuan Huang, Hui Zhang, Wenzhong Tang et al.
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
Yi Huang, Qingyun Sun, Yisen Gao et al.
M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting
Yaohui Huang, Runmin Zou, Yun Wang et al.
Federated Linear Dueling Bandits
Xuhan Huang, Yan Hu, Zhiyan Li et al.
PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations
Xinquan Huang, Paris Perdikaris
FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning
Xingwei Huang, Zhaobin Sun, Junjie Shi et al.
CoLM: Collaborative Large Models via a Client-Server Paradigm
Siqi Huang, Sida Huang, Hongyuan Zhang
Feature Attribution for Human Sensing with Radio Signals
Shuokang Huang, Julie McCann
Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data
Rui Huang, Dian Meng, Xun Zhou et al.