PaperHub

Junchi Yan

~Junchi_Yan2

100
论文总数
50.0
年均投稿
5.8
平均评分
接收情况66/100
会议分布
ICLR
68
NeurIPS
23
ICML
9

发表论文 (100 篇)

202561

6.6
4

Learning Initial Basis Selection for Linear Programming via Duality-Inspired Tripartite Graph Representation and Comprehensive Supervision

ICML 2025Poster
4.5
4

Rethinking Fairness Representation in Multi-Task Learning: a Performance-Informed Variance Reduction Approach

ICLR 2025withdrawn
6.0
4

SelKD: Selective Knowledge Distillation via Optimal Transport Perspective

ICLR 2025Poster
4.3
4

MLOT: Extending the Bipartite Structure towards Multi-Layered Structure for Optimal Transport

ICLR 2025Rejected
8.2
3

Train on Pins and Test on Obstacles for Rectilinear Steiner Minimum Tree

NeurIPS 2025Poster
6.5
4

QuaDiM: A Conditional Diffusion Model For Quantum State Property Estimation

ICLR 2025Poster
6.2
5

Position-Query-Based Autoencoders for View Decoupled Cross Point Cloud Reconstruction and a Self-Supervised Learning Framework

ICLR 2025Rejected
6.8
4

StruDiCO: Structured Denoising Diffusion with Gradient-free Inference-stage Boosting for Memory and Time Efficient Combinatorial Optimization

NeurIPS 2025Poster
3.8
4

Towards General Certified Robustness of Combinatorial Optimization Solvers

ICLR 2025withdrawn
4.8
4

DiFSD: Ego-Centric Fully Sparse Paradigm with Uncertainty Denoising and Iterative Refinement for Efficient Self-Driving

ICLR 2025withdrawn
6.0
4

Regularizing Energy among Training Samples for Out-of-Distribution Generalization

ICLR 2025Poster
5.8
4

Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World Models

ICLR 2025Rejected
4.5
4

Learning General Representations Across Graph Combinatorial Optimization Problems

ICLR 2025Rejected
6.1
4

COExpander: Adaptive Solution Expansion for Combinatorial Optimization

ICML 2025Poster
6.8
4

NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective

NeurIPS 2025Poster
6.1
4

QuanONet: Quantum Neural Operator with Application to Differential Equation

ICML 2025Poster
6.8
4

Fractional Langevin Dynamics for Combinatorial Optimization via Polynomial-Time Escape

NeurIPS 2025Poster
6.0
4

COT: Consistent Optimal Transport with Applications to Visual Matching and Travelling Salesman Problems

ICLR 2025Rejected
6.7
3

DriveTransformer: Unified Transformer for Scalable End-to-End Autonomous Driving

ICLR 2025Poster
6.6
4

The Sharpness Disparity Principle in Transformers for Accelerating Language Model Pre-Training

ICML 2025Poster
7.0
3

DSBRouter: End-to-end Global Routing via Diffusion Schr\"{o}dinger Bridge

ICML 2025Poster
5.3
4

ESDMotion: End-to-end Motion Prediction Only with SD Maps

ICLR 2025Rejected
7.2
5

Rethinking and Improving Autoformalization: Towards a Faithful Metric and a Dependency Retrieval-based Approach

ICLR 2025Spotlight
3.5
4

From Graph Embedding to LKH: Bridging Learning and Heuristics for a Streamlined General TSP Solver

ICLR 2025withdrawn
7.8
4

Generation as Search Operator for Test-Time Scaling of Diffusion-based Combinatorial Optimization

NeurIPS 2025Poster
6.0
4

Bootstrapping Hierarchical Autoregressive Formal Reasoner with Chain-of-Proxy-Autoformalization

NeurIPS 2025Poster
4.5
4

Toward Learning Generalized Cross-Problem Solving Strategies for Combinatorial Optimization

ICLR 2025withdrawn
6.0
4

Optimal Flow Transport and its Entropic Regularization: a GPU-friendly Matrix Iterative Algorithm for Flow Balance Satisfaction

ICLR 2025Poster
7.2
5

Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late In Training

ICLR 2025Spotlight
6.2
6

Learning Structured Universe Graph with Outlier OOD Detection for Partial Matching

ICLR 2025Poster
6.1
4

QEM-Bench: Benchmarking Learning-based Quantum Error Mitigation and QEMFormer as a Multi-ranged Context Learning Baseline

ICML 2025Poster
6.5
4

PhysPDE: Rethinking PDE Discovery and a Physical Hypothesis Selection Benchmark

ICLR 2025Poster
5.7
3

BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems

ICLR 2025Rejected
6.3
3

SINGER: Stochastic Network Graph Evolving Operator for High Dimensional PDEs

ICLR 2025Poster
3.8
4

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving

ICLR 2025withdrawn
6.3
4

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP

ICLR 2025Poster
6.3
3

On the Role of Label Noise in the Feature Learning Process

ICML 2025Poster
6.4
4

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)

NeurIPS 2025Poster
5.5
4

HEAP: Hyper Extended A-PDHG Operator for Constrained High-dim PDEs

ICML 2025Poster
5.3
3

The Role of Label Noise in the Feature Learning Process

ICLR 2025Rejected
6.3
3

On Designing General and Expressive Quantum Graph Neural Networks with Applications to MILP Instance Representation

ICLR 2025Poster
6.3
4

UniCO: On Unified Combinatorial Optimization via Problem Reduction to Matrix-Encoded General TSP

ICLR 2025Poster
6.5
4

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation

ICLR 2025Poster
6.4
4

VideoREPA: Learning Physics for Video Generation through Relational Alignment with Foundation Models

NeurIPS 2025Poster
6.1
4

Generative Modeling Reinvents Supervised Learning: Label Repurposing with Predictive Consistency Learning

ICML 2025Poster
5.8
4

Your Consistency Model is Secretly a More Powerful Supervised Learning Paradigm for Learning Tasks with Complex Labels

ICLR 2025Rejected
7.3
4

Repurposing AlphaFold3-like Protein Folding Models for Antibody Sequence and Structure Co-design

NeurIPS 2025Poster
4.4
5

Inv-PnCO: Invariant Predict-and-Combinatorial Optimization under Distribution Shifts

ICLR 2025Rejected
6.0
4

CR2PQ: Continuous Relative Rotary Positional Query for Dense Visual Representation Learning

ICLR 2025Poster
6.3
4

Unify ML4TSP: Drawing Methodological Principles for TSP and Beyond from Streamlined Design Space of Learning and Search

ICLR 2025Poster
6.8
5

HShare: Fast LLM Decoding by Hierarchical Key-Value Sharing

ICLR 2025Poster
4.0
4

Towards LLM4Floorplan: Agents Can Do What Engineers Do in Chip Design

ICLR 2025withdrawn
6.4
4

CORE: Collaborative Optimization with Reinforcement Learning and Evolutionary Algorithm for Floorplanning

NeurIPS 2025Poster
6.3
4

Rethinking Classifier Re-Training in Long-Tailed Recognition: Label Over-Smooth Can Balance

ICLR 2025Poster
5.3
3

Derail Yourself: Multi-turn LLM Jailbreak Attack through self-discovered clues

ICLR 2025withdrawn
4.0
4

TerDiT: Ternary Diffusion Models with Transformers

ICLR 2025withdrawn
3.0
3

Re-TASK: Revisiting LLM Tasks from Capability, Skill, and Knowledge Perspectives

ICLR 2025Rejected
7.0
4

Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities

ICLR 2025Poster
5.8
4

Trajectory-LLM: A Language-based Data Generator for Trajectory Prediction in Autonomous Driving

ICLR 2025Poster
7.0
4

GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training

ICLR 2025Poster
6.3
4

DocGenome: A Large Benchmark for Multi-Modal Language Models in Real-World Academic Document Understanding

ICLR 2025Rejected

202439

6.0
4

What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information

NeurIPS 2024Poster
5.8
4

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory

ICLR 2024Poster
6.0
4

Unveiling The Matthew Effect Across Channels: Assessing Layer Width Sufficiency via Weight Norm Variance

NeurIPS 2024Poster
3.0
3

Addressing Covariate Shifts with Influence Aware Energy Regularization

ICLR 2024withdrawn
5.0
5

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

NeurIPS 2024Spotlight
6.3
4

QVAE-Mole: The Quantum VAE with Spherical Latent Variable Learning for 3-D Molecule Generation

NeurIPS 2024Poster
5.0
4

Optimal Multiple Transport with Applications to Visual Matching, Model Fusion and Beyond

ICLR 2024Rejected
6.3
4

Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation

NeurIPS 2024Poster
6.8
4

Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms

ICLR 2024Poster
7.0
4

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering

ICLR 2024Poster
5.8
5

Boundary Matters: A Bi-Level Active Finetuning Method

NeurIPS 2024Poster
4.7
3

When Do MLPs Excel in Node Classification? An Information-Theoretic Perspective

ICLR 2024Rejected
6.3
3

ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization

NeurIPS 2024Poster
6.0
3

MixSATGEN: Learning Graph Mixing for SAT Instance Generation

ICLR 2024Poster
6.3
3

Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

NeurIPS 2024Poster
6.0
3

Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space

ICLR 2024Poster
5.5
4

Fast T2T: Optimization Consistency Speeds Up Diffusion-Based Training-to-Testing Solving for Combinatorial Optimization

NeurIPS 2024Poster
6.0
4

Equivariant Quantum Graph Neural Network for Mixed-Integer Linear Programming

ICLR 2024Rejected
5.9
7

Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range

ICLR 2024Rejected
8.0
4

Towards LLM4QPE: Unsupervised Pretraining of Quantum Property Estimation and A Benchmark

ICLR 2024Spotlight
6.3
3

How Graph Neural Networks Learn: Lessons from Training Dynamics in Function Space

ICLR 2024Rejected
4.2
5

GSINA: Improving Graph Invariant Learning via Graph Sinkhorn Attention

ICLR 2024withdrawn
5.3
4

Learning Plaintext-Ciphertext Cryptographic Problems via ANF-based SAT Instance Representation

NeurIPS 2024Poster
6.3
4

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

NeurIPS 2024Poster
3.0
4

Advective Diffusion Transformers for Topological Generalization in Graph Learning

ICLR 2024Rejected
5.8
4

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model

ICLR 2024Poster
6.0
4

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

ICLR 2024Poster
4.8
4

Training-Free Adaptive Diffusion with Bounded Difference Approximation Strategy

NeurIPS 2024Poster
6.0
5

InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes

ICLR 2024Poster
6.7
3

Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach

ICLR 2024Poster
5.7
3

StructChart: Perception, Structuring, Reasoning for Visual Chart Understanding

ICLR 2024Rejected
3.5
4

REVO-LION: Evaluating and Refining Vision-Language Instruction Tuning Datasets

ICLR 2024withdrawn
6.5
4

L2P-MIP: Learning to Presolve for Mixed Integer Programming

ICLR 2024Poster
5.7
3

Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach

ICLR 2024Poster
5.3
4

BTBS-LNS: A Binarized-Tightening, Branch and Search Approach of Learning Large Neighborhood Search Policies for MIP

ICLR 2024withdrawn
4.3
3

SPOT: Scalable 3D Pre-training via Occupancy Prediction for Autonomous Driving

ICLR 2024Rejected
5.5
4

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation

NeurIPS 2024Poster
4.7
3

MorphGrower: A Synchronized Layer-by-layer Growing Approach for Plausible and Diverse Neuronal Morphology Generation

ICLR 2024Rejected
5.8
4

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

ICLR 2024Poster