Shu Zhao
17 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (9)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🌍
Conference Polyglot
(8)
⚡
Prolific Year
(7)
❓
The Questioner
(2)
🗃️
Keyword Collector
(75)
💎
Century Club
(13)
Conferences
ACL (6)
CVPR (2)
EMNLP (2)
IJCAI (2)
AAAI (1)
EACL (1)
ICCV (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
large language model
(4)
knowledge distillation
(4)
multi-hop reasoning
(2)
transfer learning
(2)
model compression
(2)
deep hashing
(2)
object detection
(1)
adversarial robustness
(1)
contrastive learning
(1)
scene understanding
(1)
multi-label learning
(1)
image retrieval
(1)
text classification
(1)
video classification
(1)
benchmark evaluation
(1)
chain-of-thought reasoning
(1)
question answering
(1)
similarity search
(1)
named entity recognition
(1)
model distillation
(1)
Papers
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
CompTab: A Comprehensive Benchmark for Real-World TableQA with Complex Reasoning and Irregular Tables
ACL 2026
Thinking Beyond the Local: Multi-View Instructed Adaptive Reasoning in KG-Enhanced LLMs
EACL 2026
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
AAAI 2025
Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-based TableQA
ICLR 2025
SafeMap: Robust HD Map Construction from Incomplete Observations
ICML 2025
HRScene: How Far Are VLMs from Effective High-Resolution Image Understanding?
ICCV 2025
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios
ACL 2025
Learning Conditional Space-Time Prompt Distributions for Video Class-Incremental Learning
CVPR 2025
Forget the Unneeded: Backdooring Large Language Models via Contrastive-enhanced Machine Unlearning
EMNLP 2025
Understanding the Robustness of 3D Object Detection With Bird's-Eye-View Representations in Autonomous Driving
CVPR 2023
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
Rescuing Deep Hashing from Dead Bits Problem
IJCAI 2021
PDALN: Progressive Domain Adaptation over a Pre-trained Model for Low-Resource Cross-Domain Named Entity Recognition
EMNLP 2021
Label Distribution Learning with Label Correlations via Low-Rank Approximation
IJCAI 2019