Shenghua Liu
20 papers · 2016–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Conference Polyglot (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
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Renaissance Researcher
(7)
π
Conference Polyglot
(6)
π
Academic Marathon
(9)
π€
Dynamic Duo
(16)
π§¬
Topic Evolution
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Century Club
(18)
π
Trend Setter
β
The Questioner
(2)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(86)
π₯
Unstoppable
(6)
Conferences
ACL (6)
IJCAI (6)
AAAI (3)
EMNLP (3)
COLING (1)
ICLR (1)
Top co-authors
Keywords
large language model
(6)
anomaly detection
(3)
in-context editing
(2)
language model
(2)
knowledge editing
(2)
decoding strategy
(2)
representation learning
(2)
retrieval-augmented generation
(2)
adversarial learning
(1)
direct preference optimization
(1)
link prediction
(1)
attention mechanism
(1)
graph representation learning
(1)
causal inference
(1)
graph learning
(1)
language model alignment
(1)
sentiment analysis
(1)
working memory
(1)
test-time adaptation
(1)
principal component analysis
(1)
Papers
Gated Differentiable Working Memory for Long-Context Language Modeling
ACL 2026
HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
ACL 2026
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
EMNLP 2025
Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
ACL 2025
Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
ACL 2025
Context-DPO: Aligning Language Models for Context-Faithfulness
ACL 2025
βNot Alignedβ is Not βMaliciousβ: Being Careful about Hallucinations of Large Language Modelsβ Jailbreak
COLING 2025
Is Factuality Enhancement a Free Lunch For LLMs? Better Factuality Can Lead to Worse Context-Faithfulness
ICLR 2025
LPNL: Scalable Link Prediction with Large Language Models
ACL 2024
Adaptive Token Biaser: Knowledge Editing via Biasing Key Entities
EMNLP 2024
SLANG: New Concept Comprehension of Large Language Models
EMNLP 2024
A Provable Framework of Learning Graph Embeddings via Summarization
AAAI 2023
AugSplicing: Synchronized Behavior Detection in Streaming Tensors
AAAI 2021
FlowScope: Spotting Money Laundering Based on Graphs
AAAI 2020
BeatGAN: Anomalous Rhythm Detection using Adversarially Generated Time Series
IJCAI 2019
NeuCast: Seasonal Neural Forecast of Power Grid Time Series
IJCAI 2018
Single-Pass PCA of Large High-Dimensional Data
IJCAI 2017
Learning Concise Representations of Users' Influences through Online Behaviors
IJCAI 2017
Cascade Dynamics Modeling with Attention-based Recurrent Neural Network
IJCAI 2017
Predict Anchor Links across Social Networks via an Embedding Approach
IJCAI 2016