← Authors

Junchi Yan

248 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (15) πŸ—ΊοΈ Taxonomy Completionist (36) 🏠 Conference Loyalist (46) 🀝 Dynamic Duo (35) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (26) ⚑ Prolific Year (55) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (245) πŸ—ƒοΈ Keyword Collector (96)

Conferences

ICLR (53) NIPS (46) ICML (34) CVPR (32) IJCAI (21) AAAI (19) ECCV (14) ICCV (13) ACL (6) EMNLP (3) JMLR (3) AUTOML (1) CORL (1) EACL (1) IJCNLP (1)

Top co-authors

Xiaokang Yang (35) Runzhong Wang (20) Qitian Wu (20) Hongyuan Zha (16) Yang Li (15) Xue Yang (14) Hongyang Li (12) Shaofeng Zhang (12) Xiaoxing Wang (12) Liangliang Shi (11)

Research topics

Digital Humanities (1)

Keywords

graph neural network (18) graph matching (17) combinatorial optimization (10) representation learning (10) neural network (9) neural architecture search (8) oriented object detection (6) autonomous driving (6) quantum computing (6) reinforcement learning (6) self-supervised learning (6) variational inference (5) convolutional neural network (5) diffusion model (5) generative model (5) bounding box regression (5) optimal transport (5) trajectory prediction (5) 3d object detection (5) message passing (5)

Papers

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 SchrΓΆdinger 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