Bin Shi
15 papers · 2019–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (9) π Conference Polyglot (7) π Academic Marathon (6) π Renaissance Researcher (9)
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Conference Polyglot
(7)
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Academic Marathon
(6)
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Cross-Pollinator
(9)
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Century Club
(13)
ποΈ
Keyword Collector
(91)
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Prolific Year
(5)
Conferences
AAAI (7)
IJCAI (2)
JMLR (2)
COLING (1)
CVPR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
convergence rate
(2)
stochastic differential equation
(2)
large language model
(2)
stochastic gradient descent
(2)
graph neural network
(2)
nonconvex optimization
(1)
few-shot learning
(1)
reinforcement learning
(1)
sequence labeling
(1)
anomaly detection
(1)
hyperparameter optimization
(1)
uncertainty quantification
(1)
noisy label learning
(1)
named entity recognition
(1)
zero-shot learning
(1)
deep learning
(1)
multi-modal learning
(1)
domain generalization
(1)
out-of-distribution generalization
(1)
sentiment classification
(1)
Papers
Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems
AAAI 2026
Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection
AAAI 2026
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective
AAAI 2025
VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification
AAAI 2025
AHVE-CNER: Aligned Hanzi Visual Encoding Enhance Chinese Named Entity Recognition with Multi-Information
COLING 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference
AAAI 2025
Quantum Optimization via Gradient-Based Hamiltonian Descent
ICML 2025
Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning
CVPR 2024
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection
AAAI 2024
The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution
AAAI 2024
On the Hyperparameters in Stochastic Gradient Descent with Momentum
JMLR 2024
On Learning Rates and SchrΓΆdinger Operators
JMLR 2023
Reinforcement Learning Approaches for Traffic Signal Control under Missing Data
IJCAI 2023
NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method
IJCAI 2023
Acceleration via Symplectic Discretization of High-Resolution Differential Equations
NIPS 2019