Bang An

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Medical Knowledge

Knowledge Transfer

Spatiotemporal Data

Top Venues

Publications

Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR (2024)
Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang
Benchmarking the Robustness of Image Watermarks. CoRR (2024)
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR (2024)
Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? CoRR (2024)
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR (2024)
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. ACL (1) (2024)
Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Mosen Alharthi, Bang An, Juncai He, Ziche Liu, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
AceGPT, Localizing Large Language Models in Arabic. NAACL-HLT (2024)
Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. AAAI (2024)
Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR (2024)
Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. CoRR (2023)
Jiang Shen, Ting Pan, Man Xu, Dan Gan, Bang An
A novel DL-based algorithm integrating medical knowledge graph and doctor modeling for Q&A pair matching in OHP. Inf. Process. Manag. 60 (3) (2023)
Jinhai Yu, Bang An, Huan Xu, Zhongmiao Sun, Yuwei Tian, Qiuyu Wang
An Iterative Algorithm for Predicting Seafloor Topography from Gravity Anomalies. Remote. Sens. 15 (4) (2023)
Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS (2023)
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. NeurIPS (2023)
Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML (2023)
Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Abdulmohsen Alharthi, Bang An, Ziche Liu, Zhiyi Zhang, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu
AceGPT, Localizing Large Language Models in Arabic. CoRR (2023)
Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. CoRR (2023)
Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder. CoRR (2023)
Sicheng Zhu, Ruiyi Zhang, Bang An, Gang Wu, Joe Barrow, Zichao Wang, Furong Huang, Ani Nenkova, Tong Sun
AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models. CoRR (2023)
Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR (2023)
Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang
On the Possibilities of AI-Generated Text Detection. CoRR (2023)
Zhe Zhao, Qingyun Liu, Huan Gui, Bang An, Lichan Hong, Ed H. Chi
Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication. CoRR (2023)
Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes. CoRR (2023)
Bang An, Zora Che, Mucong Ding, Furong Huang
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. CoRR (2022)
Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS (2022)
Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. SDM (2022)
Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. CoRR (2022)
Bang An, Zora Che, Mucong Ding, Furong Huang
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. NeurIPS (2022)
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai
Adaptive Transfer Learning on Graph Neural Networks. CoRR (2021)
Xueting Han, Zhenhuan Huang, Bang An, Jing Bai
Adaptive Transfer Learning on Graph Neural Networks. KDD (2021)
Sicheng Zhu, Bang An, Furong Huang
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. NeurIPS (2021)
Sicheng Zhu, Bang An, Furong Huang
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. CoRR (2021)
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR (2020)
Dan Gan, Jiang Shen, Bang An, Man Xu, Na Liu
Integrating TANBN with cost sensitive classification algorithm for imbalanced data in medical diagnosis. Comput. Ind. Eng. 140 (2020)
Sicheng Zhu, Bang An, Shiyu Niu
Guess First to Enable Better Compression and Adversarial Robustness. CoRR (2020)
Honglei Guo, Bang An, Zhili Guo, Zhong Su
Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking. IJCAI (2020)
Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL (2020)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. EMNLP (1) (2020)
Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. CoRR (2020)
Bang An, Wenjun Wu, Huimin Han
Deep Active Learning for Text Classification. ICVISP (2018)
Man Xu, Dan Gan, Jiang Shen, Bang An
Bayesian Network Retrieval Discrimination Criteria Model Based on Unbalanced Information. ICSH (2018)
Hongxia Pan, Jian Jin, Yuxue Zhang, Bang An
Automaton fault diagnosis based on EEMD and Multi-component information entropy. URAI (2016)
Bang An, Peng Cheng, Xiang Zou
A smart airspace sectorization approach based on spectral clustering and NSGA-II. ISC2 (2015)