Zhihua Jin

According to our database, Zhihua Jin authored at least 24 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery From Large-Scale Human-LLM Conversational Datasets.

Zhihua Jin, Shiyi Liu, Haotian Li, Xun Zhao, Huamin Qu

IEEE Trans. Vis. Comput. Graph., October, 2025

PromptKeeper: Safeguarding System Prompts for LLMs.

Zhifeng Jiang, Zhihua Jin, Guoliang He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset.

Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu

IEEE Trans. Vis. Comput. Graph., July, 2024

: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu

IEEE Trans. Vis. Comput. Graph., January, 2024

Safeguarding System Prompts for LLMs.

Zhifeng Jiang, Zhihua Jin, Guoliang He

CoRR, 2024

2023

GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.

Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

IEEE Trans. Vis. Comput. Graph., June, 2023

Towards an Exploratory Visual Analytics System for Griefer Identification in MOBA Games.

Zixin Chen, Shiyi Liu, Zhihua Jin, Gaoping Huang, Yang Chao, Zhenchuan Yang, Quan Li, Huamin Qu

CoRR, 2023

CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.

Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu

CoRR, 2023

ActorLens: Visual Analytics for High-level Actor Identification in MOBA Games.

Zhihua Jin, Gaoping Huang, Zixin Chen, Shiyi Liu, Yang Chao, Zhenchuan Yang, Quan Li, Huamin Qu

CoRR, 2023

HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.

Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis.

Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu

IEEE Trans. Vis. Comput. Graph., 2022

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.

Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

NumGPT: Improving Numeracy Ability of Generative Pre-trained Models.

Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu

CoRR, 2021

M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis.

Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Huamin Qu

CoRR, 2021

BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network.

Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang

CoRR, 2021

2020

DeepDrawing: A Deep Learning Approach to Graph Drawing.

Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu

IEEE Trans. Vis. Comput. Graph., 2020

GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.

Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu

CoRR, 2020

2019

ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning.

Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2010

Mires++: a reliable, energy-aware clustering algorithm for wireless sensor networks.

Pin Nie, Zhihua Jin, Yi Gong

Proceedings of the 13th International Symposium on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2010

Energy Efficient Client-Centric Shaping of Multi-flow TCP Traffic.

Ahmad Nazir Raja, Zhihua Jin, Matti Siekkinen

Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications, 2010

2004

Bayesian Neural Networks for Life Modeling and Prediction of Dynamically Tuned Gyroscopes.

Chunling Fan, Feng Gao, Zhihua Jin

Proceedings of the Advances in Neural Networks, 2004

2002

Application of neuro-fuzzy control for satellite AOCS.

Jing Zhang, Weifeng Tian, Chunling Fan, Zhihua Jin

Proceedings of the Seventh International Conference on Control, 2002

Study on a novel marine INS/GPS integrated navigation technology.

Yang Yanjuan, Weifeng Tian, Zhihua Jin

Proceedings of the Seventh International Conference on Control, 2002

Application of multisensor data fusion based on RBF neural networks for fault diagnosis of SAMS.

Chunling Fan, Zhihua Jin, Jing Zhang, Weifeng Tian

Proceedings of the Seventh International Conference on Control, 2002