Papers
KAN-AD: Time Series Anomaly Detection with Kolmogorov–Arnold Networks
Quan Zhou, Changhua Pei, Fei Sun et al.
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
Gaoyue Zhou, Hengkai Pan, Yann Lecun et al.
Perceptual-GS: Scene-adaptive Perceptual Densification for Gaussian Splatting
Hongbi Zhou, Zhangkai Ni
Unisolver: PDE-Conditional Transformers Towards Universal Neural PDE Solvers
Hang Zhou, Yuezhou Ma, Haixu Wu et al.
Learning Efficient Robotic Garment Manipulation with Standardization
Changshi Zhou, Feng Luan, Jiarui Hu et al.
Efficient and Separate Authentication Image Steganography Network
Junchao Zhou, Yao Lu, Jie Wen et al.
Robust Multi-Agent Reinforcement Learning with Stochastic Adversary
Ziyuan Zhou, Guanjun Liu, Mengchu Zhou et al.
Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving
Yuxuan Zhou, Xien Liu, Chenwei Yan et al.
GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length?
Yang Zhou, Hongyi Liu, Zhuoming Chen et al.
An Error Analysis of Flow Matching for Deep Generative Modeling
Zhengyu Zhou, Weiwei Liu
BSLoRA: Enhancing the Parameter Efficiency of LoRA with Intra-Layer and Inter-Layer Sharing
Yuhua Zhou, Ruifeng Li, Changhai Zhou et al.
FloE: On-the-Fly MoE Inference on Memory-constrained GPU
Yuxin Zhou, Zheng Li, Jun Zhang et al.
Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling
Xiangxin Zhou, Mingyu Li, Yi Xiao et al.
Contrastive Visual Data Augmentation
Yu Zhou, Bingxuan Li, Tang Mohan et al.
TUMTraf VideoQA: Dataset and Benchmark for Unified Spatio-Temporal Video Understanding in Traffic Scenes
Xingcheng Zhou, Konstantinos Larintzakis, Hao Guo et al.
Demystifying the Paradox of Importance Sampling with an Estimated History-Dependent Behavior Policy in Off-Policy Evaluation
Hongyi Zhou, Josiah P. Hanna, Jin Zhu et al.
From Passive to Active Reasoning: Can Large Language Models Ask the Right Questions under Incomplete Information?
Zhanke Zhou, Xiao Feng, Zhaocheng Zhu et al.
ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
Zheng Zhou, Wenquan Feng, Qiaosheng Zhang et al.
Inductive Moment Matching
Linqi Zhou, Stefano Ermon, Jiaming Song
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference
Jixian Zhou, Fang Dong, Ruijun Huang et al.
TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation
Ziang Zhou, Zhihao Ding, Jieming Shi et al.
Implicit Subgraph Neural Network
Yongjian Zhong, Liao Zhu, Hieu Vu et al.
Reinforcement Learning Control of a Physical Robot Device for Assisted Human Walking without a Simulator
Junmin Zhong, Emiliano Quinones Yumbla, Seyed Yousef Soltanian et al.
BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model Reasoning
Han Zhong, Yutong Yin, Shenao Zhang et al.
Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images
Yan Zhong, Chenxi Yang, Suyuan Zhao et al.