Shuhao Zhang
12 papers · 2020–2026 · 8 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver ποΈ Keyword Collector (70)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Deep Learning
(6)
Natural Language Processing
(6)
Applications
(5)
Application Areas
(4)
Learning Types Β· Machine Learning
(4)
Optimization & Theory
(3)
Architectures
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Core Methods
(1)
Keywords
large language model
(5)
attention mechanism
(2)
online learning
(1)
information retrieval
(1)
fact verification
(1)
temporal reasoning
(1)
question answering
(1)
real-time learning
(1)
layer-wise analysis
(1)
multimodal learning
(1)
visual reasoning
(1)
computational complexity
(1)
efficient computing
(1)
error detection
(1)
time series forecasting
(1)
question decomposition
(1)
sparsity
(1)
algorithm optimization
(1)
sentiment analysis
(1)
few-shot learning
(1)
Papers
ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models
AAAI 2026
FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation
ACL 2026
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
DLP: Dynamic Layerwise Pruning in Large Language Models
ICML 2025
Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints
CVPR 2025
HSI: A Holistic Style Injector for Arbitrary Style Transfer
CVPR 2025
MolErr2Fix: Benchmarking LLM Trustworthiness in Chemistry via Modular Error Detection, Localization, Explanation, and Correction
EMNLP 2025
VideoQA-TA: Temporal-Aware Multi-Modal Video Question Answering
COLING 2025
A Framework of Knowledge Graph-Enhanced Large Language Model Based on Question Decomposition and Atomic Retrieval
EMNLP 2024
LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication
NeurIPS 2024
SentiStream: A Co-Training Framework for Adaptive Online Sentiment Analysis in Evolving Data Streams
EMNLP 2023
PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
IJCAI 2020