Bang An
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
21
Venues
10
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
21 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | EnsemW2S: Enhancing Weak-to-Strong Generalization with Large Language Model Ensembles. | Aakriti Agrawal, Mucong Ding, Chenghao Deng, Zora Che, Arjun Rajaram, Anirudh Satheesh, Bang An, C. Bayan Bruss, John Langford, Furong Huang |
| 2025 | AAAI | GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping. | Bang An, Xun Zhou, Zirui Zhou, Ronilo J. Ragodos, Zenglin Xu, Jun Luo |
| 2025 | AAAI | Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? | Michael-Andrei Panaitescu-Liess, Zora Che, Bang An, Yuancheng Xu, Pankayaraj Pathmanathan, Souradip Chakraborty, Sicheng Zhu, Tom Goldstein, Furong Huang |
| 2025 | ACL | Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion. | Jianqing Zhu, Huang Huang, Zhihang Lin, Juhao Liang, Zhengyang Tang, Khalid Almubarak, Mosen Alharthi, Bang An, Juncai He, Xiangbo Wu, Fei Yu, Junying Chen, Zhuoheng Ma, Yuhao Du, He Zhang, Saied Alshahrani, Emad A. Alghamdi, Lian Zhang, Ruoyu Sun, Haizhou Li, Benyou Wang, Jinchao Xu |
| 2025 | ICLR | GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment. | Yuancheng Xu, Udari Madhushani Sehwag, Alec Koppel, Sicheng Zhu, Bang An, Furong Huang, Sumitra Ganesh |
| 2025 | NAACL | RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models. | Bang An, Shiyue Zhang, Mark Dredze |
| 2025 | NAACL | PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models. | Michael-Andrei Panaitescu-Liess, Pankayaraj Pathmanathan, Yigitcan Kaya, Zora Che, Bang An, Sicheng Zhu, Aakriti Agrawal, Furong Huang |
| 2024 | AAAI | Referee-Meta-Learning for Fast Adaptation of Locational Fairness. | Weiye Chen, Yiqun Xie, Xiaowei Jia, Erhu He, Han Bao, Bang An, Xun Zhou |
| 2024 | ACL | Explore Spurious Correlations at the Concept Level in Language Models for Text Classification. | Yuhang Zhou, Paiheng Xu, Xiaoyu Liu, Bang An, Wei Ai, Furong Huang |
| 2024 | ICDM | LISA: Learning-Integrated Space Partitioning Framework for Traffic Accident Forecasting on Heterogeneous Spatiotemporal Data. | Bang An, Xun Zhou, Amin Vahedian, W. Nick Street, Jinping Guan, Jun Luo |
| 2024 | ICLR | PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts. | Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang |
| 2024 | ICLR | SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation. | Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang |
| 2024 | ICML | WAVES: Benchmarking the Robustness of Image Watermarks. | Bang An, Mucong Ding, Tahseen Rabbani, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang |
| 2024 | ICML | Position: On the Possibilities of AI-Generated Text Detection. | Souradip Chakraborty, Amrit S. Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang |
| 2024 | NAACL | AceGPT, Localizing Large Language Models in Arabic. | 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 |
| 2023 | ICML | Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator. | Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong |
| 2022 | SDM | HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data. | Bang An, Amin Vahedian, Xun Zhou, W. Nick Street, Yanhua Li |
| 2021 | KDD | Adaptive Transfer Learning on Graph Neural Networks. | Xueting Han, Zhenhuan Huang, Bang An, Jing Bai |
| 2020 | ACL | Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints. | Zhenyi Wang, Xiaoyang Wang, Bang An, Dong Yu, Changyou Chen |
| 2020 | EMNLP | Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference. | Bang An, Jie Lyu, Zhenyi Wang, Chunyuan Li, Changwei Hu, Fei Tan, Ruiyi Zhang, Yifan Hu, Changyou Chen |
| 2020 | IJCAI | Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking. | Honglei Guo, Bang An, Zhili Guo, Zhong Su |