Jing Gao

Jing Gao

Purdue University

H-index: 64

North America-United States

About Jing Gao

Jing Gao, With an exceptional h-index of 64 and a recent h-index of 49 (since 2020), a distinguished researcher at Purdue University, specializes in the field of Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs

On item-sampling evaluation for recommender system

Path-specific causal fair prediction via auxiliary graph structure learning

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models

Towards Poisoning Fair Representations

LightLT: a lightweight representation quantization framework for long-tail data

Anchor sampling for federated learning with partial client participation

MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks

Jing Gao Information

University

Position

Associate Professor School of Electrical and Computer Engineering

Citations(all)

17909

Citations(since 2020)

11147

Cited By

10865

hIndex(all)

64

hIndex(since 2020)

49

i10Index(all)

163

i10Index(since 2020)

141

Email

University Profile Page

Google Scholar

Jing Gao Skills & Research Interests

Data Mining

Top articles of Jing Gao

Title

Journal

Author(s)

Publication Date

Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs

arXiv preprint arXiv:2404.00942

Xiaoze Liu

Feijie Wu

Tianyang Xu

Zhuo Chen

Yichi Zhang

...

2024/4/1

On item-sampling evaluation for recommender system

ACM Transactions on Recommender Systems

Dong Li

Ruoming Jin

Zhenming Liu

Bin Ren

Jing Gao

...

2024/3/7

Path-specific causal fair prediction via auxiliary graph structure learning

Liuyi Yao

Yaliang Li

Bolin Ding

Jingren Zhou

Jinduo Liu

...

2023/4/30

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models

Haoyu Wang

Ruirui Li

Haoming Jiang

Zhengyang Wang

Xianfeng Tang

...

2023/8/6

Towards Poisoning Fair Representations

arXiv preprint arXiv:2309.16487

Tianci Liu

Haoyu Wang

Feijie Wu

Hengtong Zhang

Pan Li

...

2023/9/28

LightLT: a lightweight representation quantization framework for long-tail data

Haoyu Wang

Ruirui Li

Zhengyang Wang

Xianfeng Tang

Danni Danqing Zhang

...

2024

Anchor sampling for federated learning with partial client participation

Feijie Wu

Song Guo

Zhihao Qu

Shiqi He

Ziming Liu

...

2023/7/3

MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks

Rui Li

Andrew Wen

Jing Gao

Hongfang Liu

2023/9/3

Weighted contrastive learning with false negative control to help long-tailed product classification

ACL Industrial Track

Tianqi Wang

Lei Chen

Xiaodan Zhu

Younghun Lee

Jing Gao

2023/7/9

Causal Inference Preliminary

Liuyi Yao

Zhixuan Chu

Yaliang Li

Jing Gao

Aidong Zhang

...

2023/8/9

A Prior-Guided Meta-Weight Network for Long-tailed Noisy Data in Item Categorization

Tianqi Wang

Lei Chen

Jing Gao

2023/12/15

Towards reliable item sampling for recommendation evaluation

Proceedings of the AAAI Conference on Artificial Intelligence

Dong Li

Ruoming Jin

Zhenming Liu

Bin Ren

Jing Gao

...

2023/6/26

Causal Effect Estimation: Basic Methodologies

Liuyi Yao

Zhixuan Chu

Yaliang Li

Jing Gao

Aidong Zhang

...

2023/8/9

Macedon: Minimizing representation coding rate reduction for cross-lingual natural language understanding

Haoyu Wang

Yaqing Wang

Huaxiu Yao

Jing Gao

2023/12/1

Simfair: A unified framework for fairness-aware multi-label classification

Proceedings of the AAAI Conference on Artificial Intelligence

Tianci Liu

Haoyu Wang

Yaqing Wang

Xiaoqian Wang

Lu Su

...

2023/6/26

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding

Haoyu Wang

Yaqing Wang

Feijie Wu

Hongfei Xue

Jing Gao

2023/8/6

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference

Haoyu Wang

Yaqing Wang

Tianci Liu

Tuo Zhao

Jing Gao

2023/12/1

Adamix: Mixture-of-adapter for parameter-efficient tuning of large language models

arXiv preprint arXiv:2205.12410

Yaqing Wang

Subhabrata Mukherjee

Xiaodong Liu

Jing Gao

Ahmed Hassan Awadallah

...

2022

Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact)

Pamela Bhattacharya

Jing Gao

Meng Jiang

Mehran Kafai

Srijan Kumar

...

2022/8/14

Textbook Enhanced Student Learning Outcome Prediction

Tianqi Wang

Fenglong Ma

Tang Tang

Longfei Zhang

Jing Gao

2022

See List of Professors in Jing Gao University(Purdue University)