Papers
Variational OOD State Correction for Offline Reinforcement Learning
Ke Jiang, Wen Jiang, Xiaoyang Tan
Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance
Jiecheng Jiang, Jiawei Tang, Jiahao Jiang et al.
FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing
Haoning Jiang, Han Wu, Zhuoli Ouyang et al.
Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
Ziheng Jia, Jiaying Qian, Zicheng Zhang et al.
Scaling-up Perceptual Video Quality Assessment
Ziheng Jia, Zicheng Zhang, Xiaorong Zhu et al.
Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models
Yifan Jia, Yuntao Du, Kailin Jiang et al.
Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
Xuesong Jia, Yuanjie Shi, Ziquan Liu et al.
M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting
Shuning Jia, Baijun Song, Canming Ye et al.
PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure
Ke Jia, Yuheng Ma, Yang Li et al.
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery
Ju Jia, Jiansen Song, Jingxuan Yu et al.
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.