Jieping Ye

AnyID: Ultra-Fidelity Universal Identity-Preserving Video Generation from Any Visual References CVPR 2026 Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs AAAI 2026 CC-VQA: Conflict- and Correlation-Aware Method for Mitigating Knowledge Conflict in Knowledge-Based Visual Question Answering CVPR 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 Flora: Effortless Context Construction to Arbitrary Length and Scale AAAI 2026 Illuminating Visual Identity in Universal Multimodal Embeddings CVPR 2026 Concise and Organized Perception Facilitates Reasoning in Large Language Models NAACL 2025 Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models ICLR 2025 Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning ACL 2025 From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning Tasks NAACL 2025 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching AAAI 2025 Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions CVPR 2025 HybridGS: Decoupling Transients and Statics with 2D and 3D Gaussian Splatting CVPR 2025 Improving Complex Reasoning with Dynamic Prompt Corruption: A Soft Prompt Optimization Approach ICLR 2025 Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings ACL 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models ICLR 2025 Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs ICLR 2025 NeuronMerge: Merging Models via Functional Neuron Groups ACL 2025 PerLDiff: Controllable Street View Synthesis Using Perspective-Layout Diffusion Model ICCV 2025 Re-ranking Reasoning Context with Tree Search Makes Large Vision-Language Models Stronger ICML 2025 ROPO: Robust Preference Optimization for Large Language Models ICML 2025 ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL ICLR 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 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 Visual Evidence Prompting Mitigates Hallucinations in Large Vision-Language Models ACL 2025 A3S: A General Active Clustering Method with Pairwise Constraints ICML 2024 AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization ECCV 2024 Boosting Vanilla Lightweight Vision Transformers via Re-parameterization ICLR 2024 Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NeurIPS 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 Discrete Latent Perspective Learning for Segmentation and Detection ICML 2024 Efficient Denoising Diffusion via Probabilistic Masking ICML 2024 Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning CVPR 2024 Enhancing LLM’s Cognition via Structurization NeurIPS 2024 Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control NeurIPS 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning ICML 2024 GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING ICLR 2024 INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection ICLR 2024 Instance-adaptive Zero-shot Chain-of-Thought Prompting NeurIPS 2024 Interpretable Composition Attribution Enhancement for Visio-linguistic Compositional Understanding EMNLP 2024 Interpreting and Improving Large Language Models in Arithmetic Calculation ICML 2024 Learning Neural Volumetric Pose Features for Camera Localization ECCV 2024 LLaFS: When Large Language Models Meet Few-Shot Segmentation CVPR 2024 Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection EMNLP 2024 Plan-on-Graph: Self-Correcting Adaptive Planning of Large Language Model on Knowledge Graphs NeurIPS 2024 Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution NeurIPS 2024 RoScenes: A Large-scale Multi-view 3D Dataset for Roadside Perception ECCV 2024 SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graph ACL 2024 Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions NeurIPS 2023 OFCOURSE: A Multi-Agent Reinforcement Learning Environment for Order Fulfillment NeurIPS 2023 Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection NeurIPS 2023 Semi-Supervised 2D Human Pose Estimation Driven by Position Inconsistency Pseudo Label Correction Module CVPR 2023 Ultra-High Resolution Segmentation With Ultra-Rich Context: A Novel Benchmark CVPR 2023 Uncertainty-aware Unsupervised Multi-Object Tracking ICCV 2023 Automatic Detection of Alzheimer’s Disease Using Spontaneous Speech Only Interspeech 2021 Offline Model-based Adaptable Policy Learning NeurIPS 2021 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 Adaptive Object Detection with Dual Multi-Label Prediction ECCV 2020 An Attention-Based Graph Neural Network for Heterogeneous Structural Learning AAAI 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images CVPR 2020 DiDi’s Machine Translation System for WMT2020 EMNLP 2020 Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control NeurIPS 2020 PropagationNet: Propagate Points to Curve to Learn Structure Information CVPR 2020 Upper Confidence Primal-Dual Reinforcement Learning for CMDP with Adversarial Loss NeurIPS 2020 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 Generative Adversarial Training for Weakly Supervised Cloud Matting ICCV 2019 Incorporating Semantic Similarity with Geographic Correlation for Query-POI Relevance Learning AAAI 2019 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 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 NeurIPS 2016 Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models IJCAI 2016 A Modified Orthant-Wise Limited Memory Quasi-Newton Method with Convergence Analysis ICML 2015 HONOR: Hybrid Optimization for NOn-convex Regularized problems NeurIPS 2015 Lasso Screening Rules via Dual Polytope Projection JMLR 2015 Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection NeurIPS 2015 Recognizing Social Constructs from Textual Conversation NAACL 2015 Safe Screening for Multi-Task Feature Learning with Multiple Data Matrices ICML 2015 Simultaneous Pursuit of Sparseness and Rank Structures for Matrix Decomposition JMLR 2015 A Highly Scalable Parallel Algorithm for Isotropic Total Variation Models ICML 2014 A Safe Screening Rule for Sparse Logistic Regression NeurIPS 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 Geodesic Distance Function Learning via Heat Flow on Vector Fields ICML 2014 Rank-One Matrix Pursuit for Matrix Completion 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 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets NeurIPS 2014 Active Learning from Relative Queries IJCAI 2013 A General Iterative Shrinkage and Thresholding Algorithm for Non-convex Regularized Optimization Problems ICML 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 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Multi-Stage Multi-Task Feature Learning JMLR 2013 A Multi-Stage Framework for Dantzig Selector and LASSO JMLR 2012 Generalization Bounds for Domain Adaptation NeurIPS 2012 Multi-Stage Multi-Task Feature Learning NeurIPS 2012 Multi-task Vector Field Learning NeurIPS 2012 A Two-Stage Weighting Framework for Multi-Source Domain Adaptation NeurIPS 2011 Clustered Multi-Task Learning Via Alternating Structure Optimization NeurIPS 2011 Efficient Methods for Overlapping Group Lasso NeurIPS 2011 Identifying Alzheimer's Disease-Related Brain Regions from Multi-Modality Neuroimaging Data using Sparse Composite Linear Discrimination Analysis NeurIPS 2011 Projection onto A Nonnegative Max-Heap NeurIPS 2011 Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 Multi-Stage Dantzig Selector NeurIPS 2010 Efficient Recovery of Jointly Sparse Vectors NeurIPS 2009 Learning Brain Connectivity of Alzheimer's Disease from Neuroimaging Data NeurIPS 2009 Comments on the Complete Characterization of a Family of Solutions to a Generalized Fisher Criterion JMLR 2008 Multi-class Discriminant Kernel Learning via Convex Programming JMLR 2008 Multi-label Multiple Kernel Learning NeurIPS 2008 Discriminative K-means for Clustering NeurIPS 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 SVM versus Least Squares SVM AISTATS 1999