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Home/Authors/Jieping Ye

Jieping Ye

Topic trends: 31,945 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,180 papers | Abstracts: 30,565 (89.4%) | Citations: 34,180 (100.0%) | arXiv: 25,708 (75.2%)

Built: Feb 3, 2026, 9:32 PM AMS

25

papers

109

total citations

papers (25)

LLaFS: When Large Language Models Meet Few-Shot Segmentation

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL

HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting

ROPO: Robust Preference Optimization for Large Language Models

Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions

PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching

Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning

A3S: A General Active Clustering Method with Pairwise Constraints

Discrete Latent Perspective Learning for Segmentation and Detection

Interpreting and Improving Large Language Models in Arithmetic Calculation

Efficient Denoising Diffusion via Probabilistic Masking

From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning

PropagationNet: Propagate Points to Curve to Learn Structure Information

Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images

Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark

Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module

Uncertainty-aware Unsupervised Multi-Object Tracking

Adaptive Object Detection with Dual Multi-Label Prediction

Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control

NeurIPS 2020arXiv

Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss

NeurIPS 2020arXiv

Offline Model-based Adaptable Policy Learning

Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions

NeurIPS 2023arXiv

OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment

Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection

NeurIPS 2023arXiv