Guangzhong Sun
11 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (5) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (27)
πΊοΈ
Taxonomy Completionist
(27)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π§¬
Topic Evolution
π₯
Unstoppable
(5)
π
Century Club
(11)
ποΈ
Keyword Collector
(62)
β
The Questioner
Conferences
ACL (3)
EMNLP (3)
AAAI (2)
IJCAI (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
model compression
(3)
news recommendation
(2)
representation learning
(2)
graph structure
(1)
knowledge editing
(1)
attention mechanism
(1)
document retrieval
(1)
model security
(1)
semantic representation
(1)
gradient aggregation
(1)
neural network optimization
(1)
dense retrieval
(1)
safety alignment
(1)
web search
(1)
document ranking
(1)
document relevance
(1)
semantic correlation
(1)
secure aggregation
(1)
information retrieval
(1)
Papers
On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models
AAAI 2026
CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints
AAAI 2026
Introducing Graph Context into Language Models through Parameter-Efficient Fine-Tuning for Lexical Relation Mining
ACL 2025
Structured Pruning for Large Language Models Using Coupled Components Elimination and Minor Fine-tuning
NAACL 2024
On the Vulnerability of Safety Alignment in Open-Access LLMs
ACL 2024
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
ACL 2023
Longtriever: a Pre-trained Long Text Encoder for Dense Document Retrieval
EMNLP 2023
Effective and Efficient Query-aware Snippet Extraction for Web Search
EMNLP 2022
GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph
NIPS 2021
Efficient-FedRec: Efficient Federated Learning Framework for Privacy-Preserving News Recommendation
EMNLP 2021
Towards Better Representation Learning for Personalized News Recommendation: a Multi-Channel Deep Fusion Approach
IJCAI 2018