Sen Su
23 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (53)
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Topic Evolution
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Century Club · Bronze
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Prolific Year · Productive
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Research topics
Artificial Intelligence
(15)
Machine Learning
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Core AI
(14)
Deep Learning
(13)
Architectures
(6)
Core Methods
(6)
Learning Types · Machine Learning
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Learning Types · Deep Learning
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Natural Language Processing
(4)
Application Areas
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Models
(4)
Applications · Natural Language Processing
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Computer Science
(2)
Interdisciplinary
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Applications · Computer Science
(2)
Keywords
large language model
(8)
graph neural network
(4)
representation learning
(3)
supervised fine-tuning
(3)
knowledge editing
(2)
social network analysis
(2)
resource consumption
(2)
network alignment
(2)
activation steering
(2)
safety alignment
(2)
multi-task learning
(1)
relation extraction
(1)
chain-of-thought reasoning
(1)
adversarial training
(1)
adversarial learning
(1)
contrastive learning
(1)
attention mechanism
(1)
model editing
(1)
self-supervised learning
(1)
metric learning
(1)
Papers
DecIF: Improving Instruction-Following through Decomposition
ACL 2026
Diagnosing and Repairing Unsafe Channels in Vision-Language Models via Causal Discovery and Dual-Modal Safety Subspace Projection
CVPR 2026
From "Aha Moments" to Controllable Thinking: Toward Meta-Cognitive Reasoning in LRMs via Decoupled Reasoning and Control
ACL 2026
Learning to Edit Knowledge via Instruction-based Chain-of-Thought Prompting
ACL 2026
PrivSV: Differentially Private Steering Vector for Large Language Models
AAAI 2026
SEE: Signal Embedding Energy for Quantifying Noise Interference in Large Audio Language Models
ACL 2026
Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings
ACL 2025
DemonAgent: Dynamically Encrypted Multi-Backdoor Implantation Attack on LLM-based Agent
EMNLP 2025
DSG-MCTS: A Dynamic Strategy-Guided Monte Carlo Tree Search for Diversified Reasoning in Large Language Models
EMNLP 2025
Going Deeper into Locally Differentially Private Graph Neural Networks
ICML 2025
Knowledge Graph-Driven Memory Editing with Directional Interventions
EMNLP 2025
PD3F: A Pluggable and Dynamic DoS-Defense Framework against resource consumption attacks targeting Large Language Models
EMNLP 2025
Upcycling Instruction Tuning from Dense to Mixture-of-Experts via Parameter Merging
ACL 2025
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions
EMNLP 2024
Quantifying and Analyzing Entity-Level Memorization in Large Language Models
AAAI 2024
A Self-Supervised Mixed-Curvature Graph Neural Network
AAAI 2022
Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
AAAI 2021
Treasures Outside Contexts: Improving Event Detection via Global Statistics
EMNLP 2021
BANANA: when Behavior ANAlysis meets social Network Alignment
IJCAI 2020
Multi-Task Learning with Generative Adversarial Training for Multi-Passage Machine Reading Comprehension
AAAI 2020
Exploring Encoder-Decoder Model for Distant Supervised Relation Extraction
IJCAI 2018
MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation
IJCAI 2018
Deep Supervised Hashing with Nonlinear Projections
IJCAI 2017