Yongfeng Zhang
46 papers · 2015–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Academic Marathon (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (13)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(8)
πΊοΈ
Taxonomy Completionist
(63)
π§¬
Topic Evolution
π€
Dynamic Duo
(14)
π
Keyword Champion
(5)
π
Grand Slam
β‘
Prolific Year
(9)
π
Conference Pioneer
π
Century Club
(44)
ποΈ
Keyword Collector
(167)
π₯
Unstoppable
(7)
β
The Questioner
Conferences
ACL (10)
EMNLP (7)
ICLR (6)
NAACL (4)
AAAI (3)
COLING (3)
EACL (3)
IJCNLP (3)
AACL (2)
IJCAI (2)
ACML (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
large language model
(17)
explainable recommendation
(5)
recommender system
(5)
agent system
(4)
prompt engineering
(3)
pre-trained language model
(3)
language model
(3)
representation learning
(3)
foundation model
(3)
recommendation system
(3)
text generation
(3)
multimodal learning
(3)
shortcut learning
(2)
memory management
(2)
transfer learning
(2)
commonsense reasoning
(2)
information retrieval
(2)
user modeling
(2)
distribution shift
(2)
knowledge graph
(2)
Papers
H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents
EACL 2026
MemRec: Collaborative Memory-Augmented Agentic Recommender System
ACL 2026
From Commands to Prompts: LLM-based Semantic File System for AIOS
ICLR 2025
Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery
NAACL 2025
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
NAACL 2025
Task-Aligned Tool Recommendation for Large Language Models
AACL 2025
Task-Aligned Tool Recommendation for Large Language Models
IJCNLP 2025
ADO: Automatic Data Optimization for Inputs in LLM Prompts
ACL 2025
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
ICLR 2025
iAgent: LLM Agent as a Shield between User and Recommender Systems
ACL 2025
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
ACL 2025
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
ICLR 2025
Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding
ICML 2025
Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?
COLING 2025
Visual Agents as Fast and Slow Thinkers
ICLR 2025
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface
ICLR 2025
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models
EMNLP 2025
Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models
EMNLP 2025
Disentangling Memory and Reasoning Ability in Large Language Models
ACL 2025
When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations
ACL 2025
The Impact of Reasoning Step Length on Large Language Models
ACL 2024
BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis
EMNLP 2024
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
EACL 2024
Language is All a Graph Needs
EACL 2024
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
EMNLP 2024
Pre-trained Language Models for Entity Blocking: A Reproducibility Study
NAACL 2024
Knowledge Graph Large Language Model (KG-LLM) for Link Prediction
ACML 2024
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes
ACL 2024
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
COLING 2024
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention
ICLR 2023
VIP5: Towards Multimodal Foundation Models for Recommendation
EMNLP 2023
OpenAGI: When LLM Meets Domain Experts
NIPS 2023
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation
EMNLP 2022
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning
EMNLP 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios
IJCNLP 2022
Improving Personalized Explanation Generation through Visualization
ACL 2022
Assessing Combinational Generalization of Language Models in Biased Scenarios
AACL 2022
Personalized Transformer for Explainable Recommendation
IJCNLP 2021
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers
AAAI 2021
Faithfully Explainable Recommendation via Neural Logic Reasoning
NAACL 2021
Personalized Transformer for Explainable Recommendation
ACL 2021
HID: Hierarchical Multiscale Representation Learning for Information Diffusion
IJCAI 2020
A Representation Learning Approach to Animal Biodiversity Conservation
COLING 2020
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation
AAAI 2020
Dynamic Explainable Recommendation Based on Neural Attentive Models
AAAI 2019
Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation
IJCAI 2015