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Journal Articles
- 2023
[j3]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): 103322 (2023)- [j2]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): 1069 (2023) - 2020
- [j1]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: 106266 (2020)
Conference and Workshop Papers
- 2024
- [c22]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: 21949-21957 - [c21]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: 478-492 - [c20]Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang:
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. ICLR 2024 - [c19]Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. ICLR 2024 - [c18]Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang:
WAVES: Benchmarking the Robustness of Image Watermarks. ICML 2024 - [c17]Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
Position: On the Possibilities of AI-Generated Text Detection. ICML 2024 - [c16]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: 8139-8163 - 2023
- [c15]Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong:
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. ICML 2023: 42915-42937 - [c14]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. NeurIPS 2023 - [c13]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 - 2022
- [c12]Bang An, Zora Che, Mucong Ding, Furong Huang:
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. NeurIPS 2022 - [c11]Mucong Ding, Tahseen Rabbani, Bang An, Evan Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. NeurIPS 2022 - [c10]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: 334-342 - 2021
- [c9]Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. KDD 2021: 565-574 - [c8]Sicheng Zhu, Bang An, Furong Huang:
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. NeurIPS 2021: 4328-4341 - 2020
- [c7]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. ACL 2020: 1072-1086 - [c6]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: 236-255 - [c5]Honglei Guo, Bang An, Zhili Guo, Zhong Su:
Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking. IJCAI 2020: 4446-4452 - 2018
- [c4]Man Xu, Dan Gan, Jiang Shen, Bang An:
Bayesian Network Retrieval Discrimination Criteria Model Based on Unbalanced Information. ICSH 2018: 211-223 - [c3]Bang An, Wenjun Wu, Huimin Han:
Deep Active Learning for Text Classification. ICVISP 2018: 22:1-22:6 - 2016
- [c2]Hongxia Pan, Jian Jin, Yuxue Zhang, Bang An:
Automaton fault diagnosis based on EEMD and Multi-component information entropy. URAI 2016: 990-996 - 2015
- [c1]Bang An, Peng Cheng, Xiang Zou:
A smart airspace sectorization approach based on spectral clustering and NSGA-II. ISC2 2015: 1-6
Informal and Other Publications
- 2024
- [i22]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 abs/2401.08573 (2024) - [i21]Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou:
Referee-Meta-Learning for Fast Adaptation of Locational Fairness. CoRR abs/2402.13379 (2024) - [i20]Mucong Ding, Tahseen Rabbani, Bang An, Evan Z. Wang, Furong Huang:
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity. CoRR abs/2406.15575 (2024) - [i19]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 abs/2407.17417 (2024) - [i18]Bang An, Sicheng Zhu, Ruiyi Zhang, Michael-Andrei Panaitescu-Liess, Yuancheng Xu, Furong Huang:
Automatic Pseudo-Harmful Prompt Generation for Evaluating False Refusals in Large Language Models. CoRR abs/2409.00598 (2024) - [i17]Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang:
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. CoRR abs/2410.02512 (2024) - 2023
- [i16]Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang:
On the Possibilities of AI-Generated Text Detection. CoRR abs/2304.04736 (2023) - [i15]Paiheng Xu, Yuhang Zhou, Bang An, Wei Ai, Furong Huang:
GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint. CoRR abs/2305.15622 (2023) - [i14]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 abs/2308.01313 (2023) - [i13]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 abs/2309.12053 (2023) - [i12]Bang An, Xun Zhou, Yongjian Zhong, Tianbao Yang:
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data. CoRR abs/2310.00270 (2023) - [i11]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 abs/2310.03188 (2023) - [i10]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 abs/2310.15140 (2023) - [i9]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 abs/2310.17325 (2023) - [i8]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 abs/2311.08648 (2023) - 2022
- [i7]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 abs/2203.03100 (2022) - [i6]Bang An, Zora Che, Mucong Ding, Furong Huang:
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization. CoRR abs/2206.12796 (2022) - 2021
- [i5]Xueting Han, Zhenhuan Huang, Bang An, Jing Bai:
Adaptive Transfer Learning on Graph Neural Networks. CoRR abs/2107.08765 (2021) - [i4]Sicheng Zhu, Bang An, Furong Huang:
Understanding the Generalization Benefit of Model Invariance from a Data Perspective. CoRR abs/2111.05529 (2021) - 2020
- [i3]Sicheng Zhu, Bang An, Shiyu Niu:
Guess First to Enable Better Compression and Adversarial Robustness. CoRR abs/2001.03311 (2020) - [i2]Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen:
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. CoRR abs/2005.00969 (2020) - [i1]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 abs/2009.09364 (2020)
Coauthor Index
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