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2020 – today
- 2024
[j5]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): 273-283 (2024)- [j4]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): 3594-3608 (2024) - [i12]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 abs/2407.03045 (2024) - 2023
- [j3]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): 3024-3038 (2023) - [c9]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: 16416-16418 - [i11]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 abs/2307.09699 (2023) - [i10]Xingbo Wang, Renfei Huang, Zhihua Jin, Tianqing Fang, Huamin Qu:
CommonsenseVIS: Visualizing and Understanding Commonsense Reasoning Capabilities of Natural Language Models. CoRR abs/2307.12382 (2023) - [i9]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 abs/2312.14401 (2023) - 2022
- [j2]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): 802-812 (2022) - [c8]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 - [i8]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 abs/2208.08010 (2022) - [i7]Lingjiao Chen, Zhihua Jin, Sabri Eyuboglu, Christopher Ré, Matei Zaharia, James Zou:
HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions. CoRR abs/2209.08443 (2022) - 2021
- [i6]Zhixian Chen, Tengfei Ma, Zhihua Jin, Yangqiu Song, Yang Wang:
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network. CoRR abs/2101.05519 (2021) - [i5]Xingbo Wang, Jianben He, Zhihua Jin, Muqiao Yang, Huamin Qu:
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis. CoRR abs/2107.08264 (2021) - [i4]Zhihua Jin, Xin Jiang, Xingbo Wang, Qun Liu, Yong Wang, Xiaozhe Ren, Huamin Qu:
NumGPT: Improving Numeracy Ability of Generative Pre-trained Models. CoRR abs/2109.03137 (2021) - 2020
- [j1]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): 676-686 (2020) - [i3]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 abs/2011.11048 (2020)
2010 – 2019
- 2019
- [c7]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: 681 - [i2]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 abs/1902.05009 (2019) - [i1]Yong Wang, Zhihua Jin, Qianwen Wang, Weiwei Cui, Tengfei Ma, Huamin Qu:
DeepDrawing: A Deep Learning Approach to Graph Drawing. CoRR abs/1907.11040 (2019) - 2010
- [c6]Ahmad Nazir Raja, Zhihua Jin, Matti Siekkinen:
Energy Efficient Client-Centric Shaping of Multi-flow TCP Traffic. GreenCom/CPSCom 2010: 260-267 - [c5]Pin Nie, Zhihua Jin, Yi Gong:
Mires++: a reliable, energy-aware clustering algorithm for wireless sensor networks. MSWiM 2010: 178-186
2000 – 2009
- 2004
- [c4]Chunling Fan, Feng Gao, Zhihua Jin:
Bayesian Neural Networks for Life Modeling and Prediction of Dynamically Tuned Gyroscopes. ISNN (2) 2004: 749-754 - 2002
- [c3]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: 1557-1562 - [c2]Yang Yanjuan, Weifeng Tian, Zhihua Jin:
Study on a novel marine INS/GPS integrated navigation technology. ICARCV 2002: 1563-1567 - [c1]Jing Zhang, Weifeng Tian, Chunling Fan, Zhihua Jin:
Application of neuro-fuzzy control for satellite AOCS. ICARCV 2002: 1568-1573
Coauthor Index
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