Boyang Liu
10 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (7) π Academic Marathon (5) π Cross-Pollinator (13)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(33)
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Interdisciplinary Bridge
ποΈ
Keyword Collector
(52)
Conferences
ACL (3)
AAAI (2)
CORL (1)
EMNLP (1)
ICCV (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
deep neural network
(2)
anomaly detection
(2)
large language model
(2)
argument mining
(2)
feature extraction
(1)
density estimation
(1)
feature learning
(1)
ensemble model
(1)
trajectory prediction
(1)
machine reading comprehension
(1)
feature representation
(1)
label noise
(1)
robust estimation
(1)
reconstruction error
(1)
knowledge distillation
(1)
robust learning
(1)
collaborative learning
(1)
normalizing flow
(1)
online learning
(1)
robust optimization
(1)
Papers
Trust Within? Seek Beyond? Knowledge Boundary Aware Policy Optimization for Agentic Search
ACL 2026
Search-TTA: A Multi-Modal Test-Time Adaptation Framework for Visual Search in the Wild
CORL 2025
MasRouter: Learning to Route LLMs for Multi-Agent Systems
ACL 2025
Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning
ICCV 2025
Argument mining as a multi-hop generative machine reading comprehension task
EMNLP 2023
Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature
ACL 2023
Unsupervised Anomaly Detection by Robust Density Estimation
AAAI 2022
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection
IJCAI 2021
Learning Deep Neural Networks under Agnostic Corrupted Supervision
ICML 2021
OMuLeT: Online Multi-Lead Time Location Prediction for Hurricane Trajectory Forecasting
AAAI 2020