Shu Zhao
17 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird
π
Renaissance Researcher
(5)
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(94)
Top co-authors
Research topics
Machine Learning
(11)
Artificial Intelligence
(7)
Natural Language Processing
(7)
Application Areas
(7)
Core AI
(7)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Computer Vision
(4)
Applications Β· Natural Language Processing
(4)
Core Methods
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Computer Science
(2)
Analysis
(2)
Applications Β· Computer Science
(2)
Keywords
large language model
(5)
knowledge distillation
(4)
deep hashing
(2)
semantic parsing
(2)
transfer learning
(2)
model compression
(2)
question answering
(2)
pre-trained language model
(2)
multi-hop reasoning
(2)
image retrieval
(1)
multi-label learning
(1)
scene understanding
(1)
adversarial robustness
(1)
object detection
(1)
contrastive learning
(1)
text classification
(1)
information extraction
(1)
similarity search
(1)
benchmark evaluation
(1)
question decomposition
(1)
Papers
CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables
ACL 2026
Execution as Verification: Fine-Grained Self-Correcting Reasoning for Complex KBQA
ACL 2026
RPC-Bench: A Fine-grained Benchmark for Research Paper Comprehension
ACL 2026
Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs
EACL 2026
Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning
EMNLP 2025
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
ICCV 2025
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
AAAI 2025
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning
CVPR 2025
SafeMap: Robust HD Map Construction from Incomplete Observations
ICML 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
ACL 2025
Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA
ICLR 2025
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method
ACL 2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
ACL 2023
Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving
CVPR 2023
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
EMNLP 2021
Rescuing Deep Hashing from Dead Bits Problem
IJCAI 2021
Label Distribution Learning with Label Correlations via Low-Rank Approximation
IJCAI 2019