Yongfeng Zhang

H-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents EACL 2026 MemRec: Collaborative Memory-Augmented Agentic Recommender System ACL 2026 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 Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery NAACL 2025 Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities ACL 2025 Disentangling Memory and Reasoning Ability in Large Language Models ACL 2025 EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs NAACL 2025 Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? COLING 2025 From Commands to Prompts: LLM-based Semantic File System for AIOS ICLR 2025 iAgent: LLM Agent as a Shield between User and Recommender Systems ACL 2025 Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface ICLR 2025 Invisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models EMNLP 2025 Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding ICML 2025 SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models EMNLP 2025 SLMRec: Distilling Large Language Models into Small for Sequential Recommendation ICLR 2025 Task-Aligned Tool Recommendation for Large Language Models IJCNLP 2025 Visual Agents as Fast and Slow Thinkers ICLR 2025 When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations ACL 2025 BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis EMNLP 2024 Knowledge Graph Large Language Model (KG-LLM) for Link Prediction ACML 2024 Language is All a Graph Needs EACL 2024 Large Language Models for Generative Recommendation: A Survey and Visionary Discussions COLING 2024 NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes ACL 2024 Pre-trained Language Models for Entity Blocking: A Reproducibility Study NAACL 2024 The Impact of Reasoning Step Length on Large Language Models ACL 2024 TrustAgent: Towards Safe and Trustworthy LLM-based Agents EMNLP 2024 UP5: Unbiased Foundation Model for Fairness-aware Recommendation EACL 2024 HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention ICLR 2023 OpenAGI: When LLM Meets Domain Experts NeurIPS 2023 VIP5: Towards Multimodal Foundation Models for Recommendation EMNLP 2023 Assessing Combinational Generalization of Language Models in Biased Scenarios AACL 2022 Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation EMNLP 2022 Improving Personalized Explanation Generation through Visualization ACL 2022 System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning EMNLP 2022 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 A Representation Learning Approach to Animal Biodiversity Conservation COLING 2020 Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation AAAI 2020 HID: Hierarchical Multiscale Representation Learning for Information Diffusion IJCAI 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