Bowen Cao

Orcid: 0000-0002-4469-6367

According to our database1, Bowen Cao authored at least 29 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Advancing Graph Few-Shot Learning via In-Context Learning.
CoRR, May, 2026

GRAVITY: Architecture-Agnostic Structured Anchoring for Long-Horizon Conversational Memory.
CoRR, May, 2026

Adam's Law: Textual Frequency Law on Large Language Models.
CoRR, April, 2026

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL.
CoRR, February, 2026

From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics.
CoRR, January, 2026

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting.
Trans. Mach. Learn. Res., 2026

Adam's Law: Textual Frequency Law on Large Language Models.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
DocReward: A Document Reward Model for Structuring and Stylizing.
CoRR, October, 2025

Beyond Intermediate States: Explaining Visual Redundancy through Language.
CoRR, March, 2025

InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Collaborative framework for UAVs-assisted mobile edge computing: a proximity policy optimization approach.
J. Supercomput., May, 2024

On the Transformations across Reward Model, Parameter Update, and In-Context Prompt.
CoRR, 2024

Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination.
CoRR, 2024

A Simple but Effective Approach for Unsupervised Few-Shot Graph Classification.
Proceedings of the ACM on Web Conference 2024, 2024

On the Worst Prompt Performance of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Retrieval is Accurate Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Mapping Suspended Sediment Changes in the Western Pacific Coasts.
Remote. Sens., November, 2023

MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Alleviating Over-smoothing for Unsupervised Sentence Representation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FiTs: Fine-Grained Two-Stage Training for Knowledge-Aware Question Answering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FTM: A Frame-Level Timeline Modeling Method for Temporal Graph Representation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Mapping Soil Erosion Dynamics (1990-2020) in the Pearl River Basin.
Remote. Sens., December, 2022

An Integrated Model of Summer and Winter for Chlorophyll-a Retrieval in the Pearl River Estuary Based on Hyperspectral Data.
Remote. Sens., 2022

Retrieval of Suspended Sediment Concentrations in the Pearl River Estuary Using Multi-Source Satellite Imagery.
Remote. Sens., 2022

2021
Flood Monitoring in Rural Areas of the Pearl River Basin (China) Using Sentinel-1 SAR.
Remote. Sens., 2021

2020
Patch Attack for Automatic Check-out.
CoRR, 2020

Bias-Based Universal Adversarial Patch Attack for Automatic Check-Out.
Proceedings of the Computer Vision - ECCV 2020, 2020


  Loading...