PaperHub

Pan Li

~Pan_Li2

31
论文总数
15.5
年均投稿
5.8
平均评分
接收情况18/31
会议分布
ICLR
21
NeurIPS
6
ICML
3
COLM
1

发表论文 (31 篇)

202520 篇

6.8
4

Convergent Privacy Loss of Noisy-SGD without Convexity and Smoothness

ICLR 2025Poster
6.4
5

What Are Good Positional Encodings for Directed Graphs?

ICLR 2025Poster
4.8
4

What Can We Learn from State Space Models for Machine Learning on Graphs?

ICLR 2025Rejected
6.0
5

Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

ICLR 2025Poster
5.5
4

Generalization Principles for Inference over Text-Attributed Graphs with Large Language Models

ICML 2025Poster
5.5
4

Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors

ICLR 2025Rejected
5.8
4

A Benchmark on Directed Graph Representation Learning in Hardware Designs

ICLR 2025Rejected
4.3
3

Privately Learning from Graphs with Applications in Fine-tuning Large Pretrained Models

ICLR 2025withdrawn
6.3
7

Privately Learning from Graphs with Applications in Fine-tuning Large Language Models

COLM 2025Poster
6.4
4

Differentially Private Relational Learning with Entity-level Privacy Guarantees

NeurIPS 2025Poster
5.0
5

GFSE: A Foundational Model For Graph Structural Encoding

ICLR 2025Rejected
6.6
4

Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding

ICML 2025Poster
6.0
4

Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding

ICLR 2025Rejected
5.3
4

RoFt-Mol: Benchmarking Robust Fine-tuning with Molecular Graph Foundation Models

ICLR 2025Rejected
7.0
3

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models

NeurIPS 2025Poster
6.0
4

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing

ICLR 2025Poster
7.2
5

LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation

ICLR 2025Spotlight
6.3
3

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

ICML 2025Poster
5.7
3

Underestimated Privacy Risks for Minority Populations in Large Language Model Unlearning

ICLR 2025Rejected
6.8
4

Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness

NeurIPS 2025Poster

202411 篇

6.0
4

Graph as Point Set

ICLR 2024Rejected
5.5
4

Differentially Private Graph Diffusion with Applications in Personalized PageRanks

NeurIPS 2024Poster
5.7
3

Certified Machine Unlearning via Noisy Stochastic Gradient Descent

NeurIPS 2024Poster
6.3
4

Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning

NeurIPS 2024Spotlight
4.3
3

GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?

ICLR 2024Rejected
6.0
5

Towards Poisoning Fair Representations

ICLR 2024Poster
7.3
4

Polynomial Width is Sufficient for Set Representation with High-dimensional Features

ICLR 2024Poster
3.0
4

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee

ICLR 2024Rejected
3.5
4

ABKD: Graph Neural Network Compression with Attention-Based Knowledge Distillation

ICLR 2024withdrawn
5.7
3

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts

ICLR 2024Rejected
6.0
5

On the Stability of Expressive Positional Encodings for Graphs

ICLR 2024Poster
合作者 (20)