Zhihua Jin

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 20

Top Topics

Natural Language

Visual Analytics

Top Venues

IEEE Trans. Vis. Comput. Graph.

Publications

Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset. IEEE Trans. Vis. Comput. Graph. 30 (7) (2024)
Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu
: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models. IEEE Trans. Vis. Comput. Graph. 30 (1) (2024)
Zhihua Jin, Shiyi Liu, Haotian Li, Xun Zhao, Huamin Qu
JailbreakHunter: A Visual Analytics Approach for Jailbreak Prompts Discovery from Large-Scale Human-LLM Conversational Datasets. CoRR (2024)
Zhihua Jin, Gaoping Huang, Zixin Chen, Shiyi Liu, Yang Chao, Zhenchuan Yang, Quan Li, Huamin Qu
ActorLens: Visual Analytics for High-level Actor Identification in MOBA Games. CoRR (2023)
Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models. CoRR (2023)
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
GNNLens: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. IEEE Trans. Vis. Comput. Graph. 29 (6) (2023)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Huamin Qu, Christopher Ré, Matei Zaharia, James Zou
HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs. AAAI (2023)
Zixin Chen, Shiyi Liu, Zhihua Jin, Gaoping Huang, Yang Chao, Zhenchuan Yang, Quan Li, Huamin Qu
Towards an Exploratory Visual Analytics System for Griefer Identification in MOBA Games. CoRR (2023)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Y. Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. NeurIPS (2022)
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Yong Wang, Huamin Qu
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis. IEEE Trans. Vis. Comput. Graph. 28 (1) (2022)
Zhihua Jin, Xingbo Wang, Furui Cheng, Chunhui Sun, Qun Liu, Huamin Qu
ShortcutLens: A Visual Analytics Approach for Exploring Shortcuts in Natural Language Understanding Dataset. CoRR (2022)
Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR (2022)
Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network. CoRR (2021)
Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models. CoRR (2021)
Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Huamin Qu
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis. CoRR (2021)
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
DeepDrawing: A Deep Learning Approach to Graph Drawing. IEEE Trans. Vis. Comput. Graph. 26 (1) (2020)
Zhihua Jin, Yong Wang, Qianwen Wang, Yao Ming, Tengfei Ma, Huamin Qu
GNNVis: A Visual Analytics Approach for Prediction Error Diagnosis of Graph Neural Networks. CoRR (2020)
Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu
DeepDrawing: A Deep Learning Approach to Graph Drawing. CoRR (2019)
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CHI (2019)
Qianwen Wang, Yao Ming, Zhihua Jin, Qiaomu Shen, Dongyu Liu, Micah J. Smith, Kalyan Veeramachaneni, Huamin Qu
ATMSeer: Increasing Transparency and Controllability in Automated Machine Learning. CoRR (2019)
Ahmad Nazir Raja, Zhihua Jin, Matti Siekkinen
Energy Efficient Client-Centric Shaping of Multi-flow TCP Traffic. GreenCom/CPSCom (2010)
Pin Nie, Zhihua Jin, Yi Gong
Mires++: a reliable, energy-aware clustering algorithm for wireless sensor networks. MSWiM (2010)
Chunling Fan, Feng Gao, Zhihua Jin
Bayesian Neural Networks for Life Modeling and Prediction of Dynamically Tuned Gyroscopes. ISNN (2) (2004)
Chunling Fan, Zhihua Jin, Jing Zhang, Weifeng Tian
Application of multisensor data fusion based on RBF neural networks for fault diagnosis of SAMS. ICARCV (2002)
Yang Yanjuan, Weifeng Tian, Zhihua Jin
Study on a novel marine INS/GPS integrated navigation technology. ICARCV (2002)
Jing Zhang, Weifeng Tian, Chunling Fan, Zhihua Jin
Application of neuro-fuzzy control for satellite AOCS. ICARCV (2002)