Bang An

Orcid: 0000-0002-2268-6010

According to our database1, Bang An authored at least 28 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Benchmarking the Robustness of Image Watermarks.
CoRR, 2024

Referee-Meta-Learning for Fast Adaptation of Locational Fairness.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
A novel DL-based algorithm integrating medical knowledge graph and doctor modeling for Q&A pair matching in OHP.
Inf. Process. Manag., May, 2023

An Iterative Algorithm for Predicting Seafloor Topography from Gravity Anomalies.
Remote. Sens., February, 2023

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification.
CoRR, 2023

AutoDAN: Automatic and Interpretable Adversarial Attacks on Large Language Models.
CoRR, 2023

Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication.
CoRR, 2023

AceGPT, Localizing Large Language Models in Arabic.
CoRR, 2023

More Context, Less Distraction: Visual Classification by Inferring and Conditioning on Contextual Attributes.
CoRR, 2023

GFairHint: Improving Individual Fairness for Graph Neural Networks via Fairness Hint.
CoRR, 2023

On the Possibilities of AI-Generated Text Detection.
CoRR, 2023

C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator.
Proceedings of the International Conference on Machine Learning, 2023

2022
HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Adaptive Transfer Learning on Graph Neural Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Guess First to Enable Better Compression and Adversarial Robustness.
CoRR, 2020

Integrating TANBN with cost sensitive classification algorithm for imbalanced data in medical diagnosis.
Comput. Ind. Eng., 2020

Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018
Deep Active Learning for Text Classification.
Proceedings of the 2nd International Conference on Vision, Image and Signal Processing, 2018

Bayesian Network Retrieval Discrimination Criteria Model Based on Unbalanced Information.
Proceedings of the Smart Health - International Conference, 2018

2016
Automaton fault diagnosis based on EEMD and Multi-component information entropy.
Proceedings of the 13th International Conference on Ubiquitous Robots and Ambient Intelligence, 2016

2015
A smart airspace sectorization approach based on spectral clustering and NSGA-II.
Proceedings of the IEEE First International Smart Cities Conference, 2015


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