Jieping Ye

32

Papers

132

Total Citations

Papers (32)

LLaFS: When Large Language Models Meet Few-Shot Segmentation

A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing

NeurIPS 2016arXiv

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

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

ROPO: Robust Preference Optimization for Large Language Models

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

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

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

Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images

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

Generative Adversarial Training for Weakly Supervised Cloud Matting

Uncertainty-aware Unsupervised Multi-Object Tracking

Adaptive Object Detection with Dual Multi-Label Prediction

Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection

HONOR: Hybrid Optimization for NOn-convex Regularized problems

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

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

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

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

Offline Model-based Adaptable Policy Learning

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

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

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

A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis

Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices

Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction