Zhihua Jin

30 papers A* 3A 1C 3Journal 20Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery From Large-Scale Human-LLM Conversational Datasets.
IEEE Trans. Vis. Comput. Graph.
Zhihua Jin, Shiyi Liu, Haotian Li, Xun Zhao, Huamin Qu
2025 — conf
PromptKeeper: Safeguarding System Prompts for LLMs.
EMNLP (Findings)
Zhifeng Jiang, Zhihua Jin, Guoliang He
2024 J jnl
: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.
IEEE Trans. Vis. Comput. Graph.
Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu
2024 J jnl
JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets.
CoRR
Zhihua Jin, Shiyi Liu, Haotian Li, Xun Zhao, Huamin Qu
2024 J jnl
SDAC-BBPP: A Secure Dynamic Access Control Scheme With Blockchain-Based Privacy Protection for IIoT.
IEEE Trans. Netw. Serv. Manag.
Libo Feng, Junyu Lin, Fei Qiu, Bei Yu, Zhihua Jin, Jinli Wang, Jing Cheng, Shaowen Yao
2024 J jnl
Safeguarding System Prompts for LLMs.
CoRR
Zhifeng Jiang, Zhihua Jin, Guoliang He
2024 J jnl
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset.
IEEE Trans. Vis. Comput. Graph.
Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu
2023 J jnl
ActorLens: Visual Analytics for High-level Actor Identification in MOBA Games.
CoRR
Zhihua Jin, Gaoping Huang, Zixin Chen, Shiyi Liu, Yang Chao, Zhenchuan Yang, Quan Li, Huamin Qu
2023 J jnl
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models.
CoRR
Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu
2023 J jnl
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
IEEE Trans. Vis. Comput. Graph.
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
2023 A* conf
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.
AAAI
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
2023 J jnl
Towards an Exploratory Visual Analytics System for Griefer Identification in MOBA Games.
CoRR
Zixin Chen, Shiyi Liu, Zhihua Jin, Gaoping Huang, Yang Chao, Zhenchuan Yang, Quan Li, Huamin Qu
2022 A* conf
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.
NeurIPS
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
2022 J jnl
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.
CoRR
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
2022 J jnl
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis.
IEEE Trans. Vis. Comput. Graph.
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu
2022 J jnl
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset.
CoRR
Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu
2021 J jnl
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network.
CoRR
Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang
2021 J jnl
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis.
CoRR
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Huamin Qu
2021 J jnl
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models.
CoRR
Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu
2020 J jnl
DeepDrawing: A Deep Learning Approach to Graph Drawing.
IEEE Trans. Vis. Comput. Graph.
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
2020 J jnl
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks.
CoRR
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
2019 A* conf
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning.
CHI
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
2019 J jnl
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning.
CoRR
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
2019 J jnl
DeepDrawing: A Deep Learning Approach to Graph Drawing.
CoRR
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
2010 — conf
Energy Efficient Client-Centric Shaping of Multi-flow TCP Traffic.
GreenCom/CPSCom
Ahmad Nazir Raja, Zhihua Jin, Matti Siekkinen
2010 A conf
Mires++: a reliable, energy-aware clustering algorithm for wireless sensor networks.
MSWiM
Pin Nie, Zhihua Jin, Yi Gong
2004 — conf
Bayesian Neural Networks for Life Modeling and Prediction of Dynamically Tuned Gyroscopes.
ISNN (2)
Chunling Fan, Feng Gao, Zhihua Jin
2002 C conf
Application of multisensor data fusion based on RBF neural networks for fault diagnosis of SAMS.
ICARCV
Chunling Fan, Zhihua Jin, Jing Zhang, Weifeng Tian
2002 C conf
Application of neuro-fuzzy control for satellite AOCS.
ICARCV
Jing Zhang, Weifeng Tian, Chunling Fan, Zhihua Jin
2002 C conf
Study on a novel marine INS/GPS integrated navigation technology.
ICARCV
Yang Yanjuan, Weifeng Tian, Zhihua Jin