Jiawei Han

Affiliations

University of Illinois at Urbana-Champaign

papers

1,245

total citations

papers (19)

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

ICLR 2024arXiv

390

citations

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

NEURIPS 2022arXiv

278

citations

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

NEURIPS 2021arXiv

225

citations

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

ICLR 2024arXiv

citations

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation

ECCV 2024arXiv

citations

Hybrid Latent Reasoning via Reinforcement Learning

NEURIPS 2025arXiv

citations

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs

CVPR 2025arXiv

citations

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations

AAAI 2025arXiv

citations

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding

CVPR 2025

citations

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

AAAI 2024arXiv

citations

Universal Graph Convolutional Networks

NEURIPS 2021

citations

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

NEURIPS 2021arXiv

citations

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

ICML 2024

citations

Position: TrustLLM: Trustworthiness in Large Language Models

ICML 2024

citations

Jiawei Han

Affiliations

papers (19)

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

Language Models as Semantic Indexers

Structured Chemistry Reasoning with Large Language Models

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation

Hybrid Latent Reasoning via Reinforcement Learning

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Universal Graph Convolutional Networks

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

Position: TrustLLM: Trustworthiness in Large Language Models

papers (19)

Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs

Generating Training Data with Language Models: Towards Zero-Shot Language Understanding

COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

Language Models as Semantic Indexers

Structured Chemistry Reasoning with Large Language Models

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation

Hybrid Latent Reasoning via Reinforcement Learning

GRAPHGPT-O: Synergistic Multimodal Comprehension and Generation on Graphs

Bi-level Contrastive Learning for Knowledge-Enhanced Molecule Representations

Point Clouds Meets Physics: Dynamic Acoustic Field Fitting Network for Point Cloud Understanding

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Universal Graph Convolutional Networks

Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization

SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter

Position: TrustLLM: Trustworthiness in Large Language Models