papers

Publications (12)

cs.LG2025

Data Value in the Age of Scaling: Understanding LLM Scaling Dynamics Under Real-Synthetic Data Mixtures

Haohui Wang, Jingyuan Qi, Jianpeng Chen +9

cs.LG2024

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs

Haohui Wang, Yuzhen Mao, Yujun Yan +8

cs.LG2023

GPatcher: A Simple and Adaptive MLP Model for Alleviating Graph Heterophily

Shuaicheng Zhang, Haohui Wang, Si Zhang +1

physics.optics2025

MetamatBench: Integrating Heterogeneous Data, Computational Tools, and Visual Interface for Metamaterial Discovery

Jianpeng Chen, Wangzhi Zhan, Haohui Wang +10

cs.LG2025

LENSLLM: Unveiling Fine-Tuning Dynamics for LLM Selection

Xinyue Zeng, Haohui Wang, Junhong Lin +3

cs.LG2024

Towards Heterogeneous Long-tailed Learning: Benchmarking, Metrics, and Toolbox

Haohui Wang, Weijie Guan, Jianpeng Chen +2

cs.LG2024

Mastering Long-Tail Complexity on Graphs: Characterization, Learning, and Generalization

Haohui Wang, Baoyu Jing, Kaize Ding +6

cs.LG2022

A Benchmark for Federated Hetero-Task Learning

Liuyi Yao, Dawei Gao, Zhen Wang +7

cs.LG2026

Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

Tianyu Pang, Vignesh Kothapalli, Shenyang Deng +3

cs.LG2025

EVINET: Towards Open-World Graph Learning via Evidential Reasoning Network

Weijie Guan, Haohui Wang, Jian Kang +2

cs.AI2024

MetaScientist: A Human-AI Synergistic Framework for Automated Mechanical Metamaterial Design

Jingyuan Qi, Zian Jia, Minqian Liu +15

cs.LG2025

HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations

Shuaicheng Zhang, Haohui Wang, Junhong Lin +5