Shuai Zhao
23 papers · 2018–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (9) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (7) πΊοΈ Taxonomy Completionist (66)
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Keyword Pioneer
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Hot Topic Early Bird
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Conference Polyglot
(9)
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Grand Slam
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Topic Evolution
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Century Club
(20)
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Prolific Year
(5)
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Unstoppable
(8)
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Keyword Collector
(114)
Conferences
AAAI (7)
EMNLP (5)
ACL (3)
NAACL (3)
COLING (1)
CVPR (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
backdoor attack
(4)
large language model
(3)
knowledge graph
(3)
few-shot learning
(2)
parameter-efficient fine-tuning
(2)
adversarial learning
(2)
vision-language model
(2)
machine unlearning
(2)
knowledge distillation
(2)
prompt tuning
(2)
feature alignment
(2)
multi-hop reasoning
(2)
sentiment analysis
(1)
domain adaptation
(1)
semantic segmentation
(1)
model security
(1)
reinforcement learning
(1)
neural network pruning
(1)
multi-task learning
(1)
contrastive learning
(1)
Papers
Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design
AAAI 2026
DUP: Detection-guided Unlearning for Backdoor Purification in Language Models
AAAI 2026
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
AAAI 2026
Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation
NAACL 2025
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
CVPR 2025
Uni-Retrieval: A Multi-Style Retrieval Framework for STEMβs Education
ACL 2025
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
ACL 2025
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
EMNLP 2024
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
ICLR 2024
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
NAACL 2024
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
EMNLP 2023
SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
AAAI 2022
Generative Prompt Tuning for Relation Classification
EMNLP 2022
Analyzing Modality Robustness in Multimodal Sentiment Analysis
NAACL 2022
Exploring Entity Interactions for Few-Shot Relation Learning (Student Abstract)
AAAI 2022
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
EMNLP 2021
Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework
ICML 2021
Modelling Long-distance Node Relations for KBQA with Global Dynamic Graph
COLING 2020
HGMAN: Multi-Hop and Multi-Answer Question Answering Based on Heterogeneous Knowledge Graph (Student Abstract)
AAAI 2020
Adversarial-Learned Loss for Domain Adaptation
AAAI 2020
Region Mutual Information Loss for Semantic Segmentation
NIPS 2019
An End-to-End Multi-task Learning Model for Fact Checking
EMNLP 2018