Junchi Yan

ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization AAAI 2026 On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD AAAI 2026 Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization AAAI 2026 Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning ICCV 2025 QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning ICCV 2025 FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers ICCV 2025 Towards More Diverse and Challenging Pre-training for Point Cloud Learning: Self-Supervised Cross Reconstruction with Decoupled Views ICCV 2025 GeoFormer: Geometry Point Encoder for 3D Object Detection with Graph-based Transformer ICCV 2025 Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training ICLR 2025 HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing ICLR 2025 On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation ICLR 2025 PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark ICLR 2025 Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning AAAI 2025 Optimal Control Operator Perspective and a Neural Adaptive Spectral Method AAAI 2025 RoboSense: Large-scale Dataset and Benchmark for Egocentric Robot Perception and Navigation in Crowded and Unstructured Environments CVPR 2025 UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection CVPR 2025 SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs ICLR 2025 CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning ICLR 2025 LLMs know their vulnerabilities: Uncover Safety Gaps through Natural Distribution Shifts ACL 2025 Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives ACL 2025 Revisiting Fairness in Multitask Learning: A Performance-Driven Approach for Variance Reduction CVPR 2025 Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters CVPR 2025 Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances CVPR 2025 Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching ICLR 2025 DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving ICLR 2025 BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP ICLR 2025 GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training ICLR 2025 SelKD: Selective Knowledge Distillation via Optimal Transport Perspective ICLR 2025 Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving ICLR 2025 Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction ICLR 2025 Transformers from Diffusion: A Unified Framework for Neural Message Passing JMLR 2025 Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025 Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach IJCAI 2025 QuanONet: Quantum Neural Operator with Application to Differential Equation ICML 2025 The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training ICML 2025 DSBRouter: End-to-end Global Routing via Diffusion Schrödinger Bridge ICML 2025 COExpander: Adaptive Solution Expansion for Combinatorial Optimization ICML 2025 Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision ICML 2025 Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning ICML 2025 On the Role of Label Noise in the Feature Learning Process ICML 2025 HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs ICML 2025 QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline ICML 2025 Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance ICLR 2025 UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP ICLR 2025 Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach ICLR 2025 Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search ICLR 2025 QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation ICLR 2025 Regularizing Energy among Training Samples for Out-of-Distribution Generalization ICLR 2025 Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation ICLR 2025 Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities ICLR 2025 Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach CVPR 2024 Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy NIPS 2024 Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving NIPS 2024 ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization NIPS 2024 QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation NIPS 2024 Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization NIPS 2024 Boundary Matters: A Bi-Level Active Finetuning Method NIPS 2024 Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation NIPS 2024 FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation NIPS 2024 What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information NIPS 2024 Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance NIPS 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NIPS 2024 Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime NIPS 2024 PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders NIPS 2024 Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation NIPS 2024 Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation NIPS 2024 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation NIPS 2024 ViTree: Single-Path Neural Tree for Step-Wise Interpretable Fine-Grained Visual Categorization AAAI 2024 Double-Bounded Optimal Transport for Advanced Clustering and Classification AAAI 2024 Dynamic Reactive Spiking Graph Neural Network AAAI 2024 PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling AAAI 2024 Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models ACL 2024 CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion ACL 2024 Grounding and Enhancing Grid-based Models for Neural Fields CVPR 2024 PointOBB: Learning Oriented Object Detection via Single Point Supervision CVPR 2024 Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-end Oriented Object Detection with Single Point Supervision CVPR 2024 Theoretically Achieving Continuous Representation of Oriented Bounding Boxes CVPR 2024 Circuit Design and Efficient Simulation of Quantum Inner Product and Empirical Studies of Its Effect on Near-Term Hybrid Quantum-Classic Machine Learning CVPR 2024 Think2Drive: Efficient Reinforcement Learning by Thinking with Latent World Model for Autonomous Driving (in CARLA-v2) ECCV 2024 LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang ECCV 2024 PhiloGPT: A Philology-Oriented Large Language Model for Ancient Chinese Manuscripts with Dunhuang as Case Study EMNLP 2024 MixSATGEN: Learning Graph Mixing for SAT Instance Generation ICLR 2024 Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space ICLR 2024 Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark ICLR 2024 Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach ICLR 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming ICLR 2024 Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ICLR 2024 EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model ICLR 2024 Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory ICLR 2024 M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering ICLR 2024 ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation ICLR 2024 Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach ICLR 2024 InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes ICLR 2024 LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving ICLR 2024 Graph Out-of-Distribution Detection Goes Neighborhood Shaping ICML 2024 ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation ICML 2024 OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport ICML 2024 SSL4Q: Semi-Supervised Learning of Quantum Data with Application to Quantum State Classification ICML 2024 Learning Divergence Fields for Shift-Robust Graph Representations ICML 2024 How Graph Neural Networks Learn: Lessons from Training Dynamics ICML 2024 MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible Neuronal Morphology Generation ICML 2024 MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness ICML 2024 UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis ICML 2024 On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm ICML 2024 Pygmtools: A Python Graph Matching Toolkit JMLR 2024 The KFIoU Loss for Rotated Object Detection ICLR 2023 Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching ICLR 2023 H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection ICLR 2023 Contextual Image Masking Modeling via Synergized Contrasting without View Augmentation for Faster and Better Visual Pretraining ICLR 2023 Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning ICLR 2023 Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting ICLR 2023 DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion ICLR 2023 Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity NIPS 2023 SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations NIPS 2023 HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection NIPS 2023 Poisson Process for Bayesian Optimization AUTOML 2023 Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach IJCAI 2023 Transformers in Time Series: A Survey IJCAI 2023 IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse IJCAI 2023 Patch-level Contrastive Learning via Positional Query for Visual Pre-training ICML 2023 Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver ICML 2023 Quantum 3D Graph Learning with Applications to Molecule Embedding ICML 2023 QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms ICML 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023 Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective ICML 2023 ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation ICCV 2023 DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving ICCV 2023 C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023 Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving CVPR 2023 QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark ICML 2023 OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping NIPS 2023 Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification NIPS 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NIPS 2023 H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection NIPS 2023 Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm CVPR 2023 Deep Learning of Partial Graph Matching via Differentiable Top-K CVPR 2023 Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection CVPR 2023 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023 Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution ICLR 2023 ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs ICLR 2023 Energy-based Out-of-Distribution Detection for Graph Neural Networks ICLR 2023 Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs ICLR 2023 Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling ICLR 2023 GraphQNTK: Quantum Neural Tangent Kernel for Graph Data NIPS 2022 StyleFace: Towards Identity-Disentangled Face Generation on Megapixels ECCV 2022 EAutoDet: Efficient Architecture Search for Object Detection ECCV 2022 A Max-Flow Based Approach for Neural Architecture Search ECCV 2022 Self-Supervised Learning of Visual Graph Matching ECCV 2022 Learning Unbiased Transferability for Domain Adaptation by Uncertainty Modeling ECCV 2022 ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning ECCV 2022 PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark ECCV 2022 Input-Specific Robustness Certification for Randomized Smoothing AAAI 2022 Nonlinear ICA Using Volume-Preserving Transformations ICLR 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules ICLR 2022 Handling Distribution Shifts on Graphs: An Invariance Perspective ICLR 2022 Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning ICLR 2022 Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering IJCAI 2022 Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach CORL 2022 GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs NIPS 2022 Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks NIPS 2022 NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification NIPS 2022 The Policy-gradient Placement and Generative Routing Neural Networks for Chip Design NIPS 2022 Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment NIPS 2022 Learning Substructure Invariance for Out-of-Distribution Molecular Representations NIPS 2022 ZARTS: On Zero-order Optimization for Neural Architecture Search NIPS 2022 On Collective Robustness of Bagging Against Data Poisoning ICML 2022 GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks ICML 2022 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning ICML 2022 Improving Generative Adversarial Networks via Adversarial Learning in Latent Space NIPS 2022 Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline NIPS 2022 Rethinking and Improving Robustness of Convolutional Neural Networks: a Shapley Value-based Approach in Frequency Domain NIPS 2022 Object Localization Under Single Coarse Point Supervision CVPR 2022 Align Representations With Base: A New Approach to Self-Supervised Learning CVPR 2022 Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond CVPR 2022 Optimal LED Spectral Multiplexing for NIR2RGB Translation CVPR 2022 DARTS-: Robustly Stepping out of Performance Collapse Without Indicators ICLR 2021 Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021 Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting AAAI 2021 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NIPS 2021 Towards Open-World Feature Extrapolation: An Inductive Graph Learning Approach NIPS 2021 Learning High-Precision Bounding Box for Rotated Object Detection via Kullback-Leibler Divergence NIPS 2021 Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation ICML 2021 Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach ICML 2021 Rethinking Rotated Object Detection with Gaussian Wasserstein Distance Loss ICML 2021 Deep Latent Graph Matching ICML 2021 On Joint Learning for Solving Placement and Routing in Chip Design NIPS 2021 Rethinking Bi-Level Optimization in Neural Architecture Search: A Gibbs Sampling Perspective AAAI 2021 From Canonical Correlation Analysis to Self-supervised Graph Neural Networks NIPS 2021 UniRE: A Unified Label Space for Entity Relation Extraction IJCNLP 2021 UniRE: A Unified Label Space for Entity Relation Extraction ACL 2021 GRIN: Generative Relation and Intention Network for Multi-agent Trajectory Prediction NIPS 2021 SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network CVPR 2021 Dense Label Encoding for Boundary Discontinuity Free Rotation Detection CVPR 2021 Combinatorial Learning of Graph Edit Distance via Dynamic Embedding CVPR 2021 Generalizing Face Forgery Detection With High-Frequency Features CVPR 2021 Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB CVPR 2021 ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction EACL 2021 Learning Spectral Dictionary for Local Representation of Mesh IJCAI 2021 Neural Relation Inference for Multi-dimensional Temporal Point Processes via Message Passing Graph IJCAI 2021 R3Det: Refined Single-Stage Detector with Feature Refinement for Rotating Object AAAI 2021 Learning Comprehensive Motion Representation for Action Recognition AAAI 2021 Learning Modulated Loss for Rotated Object Detection AAAI 2021 Learning Local Neighboring Structure for Robust 3D Shape Representation AAAI 2021 MergeNAS: Merge Operations into One for Differentiable Architecture Search IJCAI 2020 Graduated Assignment for Joint Multi-Graph Matching and Clustering with Application to Unsupervised Graph Matching Network Learning NIPS 2020 Multiple Graph Matching and Clustering via Decayed Pairwise Matching Composition AAAI 2020 Adversarial Learning for Robust Deep Clustering NIPS 2020 Pre-training Entity Relation Encoder with Intra-span and Inter-span Information EMNLP 2020 Rethinking the Defocus Blur Detection Problem and A Real-Time Deep DBD Model ECCV 2020 Arbitrary-Oriented Object Detection with Circular Smooth Label ECCV 2020 Towards Transferable Targeted Attack CVPR 2020 Determinant Regularization for Gradient-Efficient Graph Matching CVPR 2020 Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020 Discriminative Partial Domain Adversarial Network ECCV 2020 AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning ECCV 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 The Diversified Ensemble Neural Network NIPS 2020 Learning deep graph matching with channel-independent embedding and Hungarian attention ICLR 2020 Joint Link Prediction and Network Alignment via Cross-graph Embedding IJCAI 2019 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting IJCAI 2019 Learning Latent Process from High-Dimensional Event Sequences via Efficient Sampling NIPS 2019 Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ICCV 2019 Learning Combinatorial Embedding Networks for Deep Graph Matching ICCV 2019 SCRDet: Towards More Robust Detection for Small, Cluttered and Rotated Objects ICCV 2019 Graph Convolutional Network Hashing for Cross-Modal Retrieval IJCAI 2019 TransMS: Knowledge Graph Embedding for Complex Relations by Multidirectional Semantics IJCAI 2019 Deep Spectral Clustering Using Dual Autoencoder Network CVPR 2019 Transferable AutoML by Model Sharing Over Grouped Datasets CVPR 2019 Pingan Smart Health and SJTU at COIN - Shared Task: utilizing Pre-trained Language Models and Common-sense Knowledge in Machine Reading Tasks EMNLP 2019 Joint Cuts and Matching of Partitions in One Graph CVPR 2018 Generalizing Graph Matching beyond Quadratic Assignment Model NIPS 2018 Weakly Supervised Audio Source Separation via Spectrum Energy Preserved Wasserstein Learning IJCAI 2018 Improving Maximum Likelihood Estimation of Temporal Point Process via Discriminative and Adversarial Learning IJCAI 2018 Learning Sequential Correlation for User Generated Textual Content Popularity Prediction IJCAI 2018 Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering ECCV 2018 Collaborative and Attentive Learning for Personalized Image Aesthetic Assessment IJCAI 2018 Wasserstein Learning of Deep Generative Point Process Models NIPS 2017 Fractal Dimension Invariant Filtering and Its CNN-Based Implementation CVPR 2017 Transductive Non-linear Learning for Chinese Hypernym Prediction ACL 2017 Modeling Contagious Merger and Acquisition via Point Processes with a Profile Regression Prior IJCAI 2016 On Modeling and Predicting Individual Paper Citation Count over Time IJCAI 2016 Low-Rank Matrix Approximation with Stability ICML 2016 Person Re-Identification With Correspondence Structure Learning ICCV 2015 Discrete Hyper-Graph Matching CVPR 2015 A Matrix Decomposition Perspective to Multiple Graph Matching ICCV 2015 Joint Optimization for Consistent Multiple Graph Matching ICCV 2013 Towards Effective Prioritizing Water Pipe Replacement and Rehabilitation IJCAI 2013