Zhang, Yongfeng

19 publications

NeurIPS 2025 A-Mem: Agentic Memory for LLM Agents Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, Yongfeng Zhang

ICLR 2025 Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-Based Agents Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang

ICLR 2025 From Commands to Prompts: LLM-Based Semantic File System for AIOS Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang

ICLR 2025 Interactive Speculative Planning: Enhance Agent Efficiency Through Co-Design of System and User Interface Wenyue Hua, Mengting Wan, Jagannath Shashank Subramanya Sai Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang

ICML 2025 Massive Values in Self-Attention Modules Are the Key to Contextual Knowledge Understanding Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang

ICLR 2025 SLMRec: Distilling Large Language Models into Small for Sequential Recommendation Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang

ICLR 2025 Visual Agents as Fast and Slow Thinkers Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu

ACML 2024 Knowledge Graph Large Language Model (KG-LLM) for Link Prediction Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang

ICMLW 2024 TrustAgent: Towards Safe and Trustworthy LLM-Based Agents Through Agent Constitution Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang

ICLR 2023 HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-Aware Attention Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang

NeurIPS 2023 OpenAGI: When LLM Meets Domain Experts Yingqiang Ge, Wenyue Hua, Kai Mei, Jianchao Ji, Juntao Tan, Shuyuan Xu, Zelong Li, Yongfeng Zhang

ICMLW 2022 From Kepler to Newton: Explainable AI for Science Discovery Zelong Li, Jianchao Ji, Yongfeng Zhang

ICLRW 2022 Neural Logic Analogy Learning Yujia Fan, Yongfeng Zhang

AAAI 2021 Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian

AAAI 2020 Efficient Heterogeneous Collaborative Filtering Without Negative Sampling for Recommendation Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma

IJCAI 2020 HID: Hierarchical Multiscale Representation Learning for Information Diffusion Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia

AAAI 2019 Dynamic Explainable Recommendation Based on Neural Attentive Models Xu Chen, Yongfeng Zhang, Zheng Qin

IJCAI 2015 Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma

AAAI 2015 SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin Lysy