1 citations · 1 across the 11 of their papers we have counts for
14 papers
RAP-WAM: Learning World-Action Models through Predictive Rehearsal and Action Perturbations
Yuanpeng He, Ceyao Zhang, Fangjing Li +8
Recent world action models draw on video generation priors to jointly predict future observations and robot actions. Adapting these priors to control requires determining how futur…
BAT3R: Robust Online 3D Reconstruction with Bayesian Adaptive State Updates
Lijian Li, Yuanpeng He, Yudian Zheng +6
Feed-forward transformer models have driven remarkable progress in 3D vision,yet their quadratic complexity renders them impractical for long video sequences. Streaming 3D reconstr…
World Requirement Model: Learning Requirement-Change Consequences from Typed Artifact Graphs
Yuanpeng He, Lijian Li, Dongming Jin +7
Requirement changes can affect connected stakeholders, constraints, components, and tests. We present World Requirement Model (WRM), which encodes this engineering context as a typ…
An Interactive Agent for Requirement-Driven Candidate Sourcing
Yuanpeng He, Fangjing Li, Xiangyu Ru +10
Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information r…
Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models
Chung-ju Huang, Huiqiang Zhao, Yuanpeng He +5
The increasing reliance on cloud-hosted Large Language Models (LLMs) exposes sensitive client data, such as prompts and responses, to potential privacy breaches by service provider…
Co-Evidential Fusion with Information Volume for Medical Image Segmentation
Yuanpeng He, Lijian Li, Tianxiang Zhan +3
Although existing semi-supervised image segmentation methods have achieved good performance, they cannot effectively utilize multiple sources of voxel-level uncertainty for targete…
Efficient Prototype Consistency Learning in Medical Image Segmentation via Joint Uncertainty and Data Augmentation
Lijian Li, Yuanpeng He, Chi-Man Pun
Recently, prototype learning has emerged in semi-supervised medical image segmentation and achieved remarkable performance. However, the scarcity of labeled data limits the express…
Mutual Evidential Deep Learning for Medical Image Segmentation
Yuanpeng He, Yali Bi, Lijian Li +3
Existing semi-supervised medical segmentation co-learning frameworks have realized that model performance can be diminished by the biases in model recognition caused by low-quality…
Residual Feature-Reutilization Inception Network for Image Classification
Yuanpeng He, Wenjie Song, Lijian Li +2
Capturing feature information effectively is of great importance in the field of computer vision. With the development of convolutional neural networks (CNNs), concepts like residu…
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
Yuanpeng He, Lijian Li, Tianxiang Zhan +2
Weakly supervised temporal action localization (WS-TAL) is a task of targeting at localizing complete action instances and categorizing them with video-level labels. Action-backgro…
Towards Realistic Long-tailed Semi-supervised Learning in an Open World
Yuanpeng He, Lijian Li
Open-world long-tailed semi-supervised learning (OLSSL) has increasingly attracted attention. However, existing OLSSL algorithms generally assume that the distributions between kno…
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation
Lijian Li
Recently, prototype learning has emerged in semi-supervised medical image segmentation and achieved remarkable performance. However, the scarcity of labeled data limits the express…
Uncertainty-aware Evidential Fusion-based Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He, Lijian Li
Although the existing uncertainty-based semi-supervised medical segmentation methods have achieved excellent performance, they usually only consider a single uncertainty evaluation…
A Matrix-based Distance of Pythagorean Fuzzy Set and its Application in Medical Diagnosis
Yuanpeng He, Lijian Li, Tianxiang Zhan
The pythagorean fuzzy set (PFS) which is developed based on intuitionistic fuzzy set, is more efficient in elaborating and disposing uncertainties in indeterminate situations, whic…