← Authors

Jieping Ye

118 papers · 2005–2026 · 13 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (32) 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (20) 🌍 Conference Polyglot (13) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌟 Keyword Trendsetter Combo (12) 🏠 Conference Loyalist (33) 🧬 Topic Evolution πŸ† Keyword Champion πŸ”¬ Deep Specialist (13) 🀝 Dynamic Duo (15) πŸ† Grand Slam πŸ‘‘ Triple Crown 🌱 Topic Pioneer ❓ The Questioner ⚑ Prolific Year (8) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (179) πŸš€ Conference Pioneer πŸ’Ž Century Club (114) πŸ”₯ Unstoppable (13)

Conferences

NIPS (33) ICML (22) AAAI (10) JMLR (10) CVPR (8) ICLR (8) ACL (7) EMNLP (5) ECCV (4) ICCV (3) IJCAI (3) NAACL (3) INTERSPEECH (2)

Top co-authors

Jie Wang (15) Xu Shen (13) Zhihang Fu (10) Chen Shen (9) Jun Liu (8) Kai Liu (8) Wenxiao Wang (8) Liang Xie (8) Binbin Lin (8) Yue Wu (8)

Keywords

feature selection (14) convex optimization (13) large language model (13) sparse learning (7) multi-task learning (6) domain adaptation (6) attention mechanism (6) vision-language model (6) feature reduction (5) non-convex optimization (5) screening rule (5) transfer learning (4) prompt engineering (4) multi-task feature learning (3) multimodal learning (3) group lasso (3) l1 regularization (3) representation learning (3) feature learning (3) few-shot learning (3)

Papers

Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs AAAI 2026
Flora: Effortless Context Construction to Arbitrary Length and Scale AAAI 2026
Enhancing Spatial Reasoning Through Visual and Textual Thinking AAAI 2026
FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making AAAI 2026
ROPO: Robust Preference Optimization for Large Language Models ICML 2025
Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs ICLR 2025
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL ICLR 2025
Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models ICLR 2025
Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach ICLR 2025
Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models ICLR 2025
PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model ICCV 2025
SalaMAnder: Shapley-based Mathematical Expression Attribution and Metric for Chain-of-Thought Reasoning EMNLP 2025
Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs EMNLP 2025
HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting CVPR 2025
Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions CVPR 2025
NeuronMerge: Merging Models via Functional Neuron Groups ACL 2025
Structure-aware Domain Knowledge Injection for Large Language Models ACL 2025
Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions ACL 2025
Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning ACL 2025
Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching AAAI 2025
Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025
Concise and Organized Perception Facilitates Reasoning in Large Language Models NAACL 2025
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks NAACL 2025
Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger ICML 2025
From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024
Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NIPS 2024
Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NIPS 2024
Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NIPS 2024
Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NIPS 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NIPS 2024
Instance-adaptive Zero-shot Chain-of-Thought Prompting NIPS 2024
Enhancing LLM’s Cognition via Structurization NIPS 2024
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph ACL 2024
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning CVPR 2024
LLaFS: When Large Language Models Meet Few-Shot Segmentation CVPR 2024
AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization ECCV 2024
RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception ECCV 2024
Learning Neural Volumetric Pose Features for Camera Localization ECCV 2024
Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ICLR 2024
GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING ICLR 2024
Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ICLR 2024
A3S: A General Active Clustering Method with Pairwise Constraints ICML 2024
Discrete Latent Perspective Learning for Segmentation and Detection ICML 2024
Interpreting and Improving Large Language Models in Arithmetic Calculation ICML 2024
Efficient Denoising Diffusion via Probabilistic Masking ICML 2024
Uncertainty-aware Unsupervised Multi-Object Tracking ICCV 2023
Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module CVPR 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NIPS 2023
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NIPS 2023
Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark CVPR 2023
OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment NIPS 2023
On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game ICML 2021
Provably Efficient Fictitious Play Policy Optimization for Zero-Sum Markov Games with Structured Transitions ICML 2021
Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only INTERSPEECH 2021
Offline Model-based Adaptable Policy Learning NIPS 2021
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images CVPR 2020
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NIPS 2020
Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss NIPS 2020
AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020
DiDi’s Machine Translation System for WMT2020 EMNLP 2020
Adaptive Object Detection with Dual Multi-Label Prediction ECCV 2020
An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020
PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019
Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning AAAI 2019
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer’s Disease from Narrative Speech INTERSPEECH 2019
Deep Multi-Task Learning with Adversarial-and-Cooperative Nets IJCAI 2019
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 2019
Generative Adversarial Training for Weakly Supervised Cloud Matting ICCV 2019
Which Factorization Machine Modeling Is Better: A Theoretical Answer with Optimal Guarantee AAAI 2019
Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction ICML 2017
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NIPS 2016
Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models IJCAI 2016
Recognizing Social Constructs from Textual Conversation NAACL 2015
HONOR: Hybrid Optimization for NOn-convex Regularized problems NIPS 2015
Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NIPS 2015
A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015
Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015
Lasso Screening Rules via Dual Polytope Projection JMLR 2015
Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014
A Safe Screening Rule for Sparse Logistic Regression NIPS 2014
Rank-One Matrix Pursuit for Matrix Completion ICML 2014
Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NIPS 2014
Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014
A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014
Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014
Scaling SVM and Least Absolute Deviations via Exact Data Reduction ICML 2014
A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 2013
Multi-Stage Multi-Task Feature Learning JMLR 2013
Lasso Screening Rules via Dual Polytope Projection NIPS 2013
Efficient Sparse Group Feature Selection via Nonconvex Optimization ICML 2013
Guaranteed Sparse Recovery under Linear Transformation ICML 2013
Joint Transfer and Batch-mode Active Learning ICML 2013
Active Learning from Relative Queries IJCAI 2013
Multi-task Vector Field Learning NIPS 2012
Multi-Stage Multi-Task Feature Learning NIPS 2012
A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012
Generalization Bounds for Domain Adaptation NIPS 2012
Projection onto A Nonnegative Max-Heap NIPS 2011
Clustered Multi-Task Learning Via Alternating Structure Optimization NIPS 2011
A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NIPS 2011
Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NIPS 2011
Efficient Methods for Overlapping Group Lasso NIPS 2011
Moreau-Yosida Regularization for Grouped Tree Structure Learning NIPS 2010
Multi-Stage Dantzig Selector NIPS 2010
Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NIPS 2009
Efficient Recovery of Jointly Sparse Vectors NIPS 2009
Multi-label Multiple Kernel Learning NIPS 2008
Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008
Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2008
Discriminative K-means for Clustering NIPS 2007
Computational and Theoretical Analysis of Null Space and Orthogonal Linear Discriminant Analysis JMLR 2006
Characterization of a Family of Algorithms for Generalized Discriminant Analysis on Undersampled Problems JMLR 2005