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ORCIDYongfeng Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Yongfeng Zhang 0001
![[0009-0001-5524-2053]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0009-0001-5524-2053")
— Shandong Normal University, Jinan, China - Yongfeng Zhang 0002 — China Education and Research Network, Beijing, China
- Yongfeng Zhang 0003 — Rutgers University, New Brunswick, NJ, USA
- Yongfeng Zhang 0004 — Beihang University, Beijing, China
- Yongfeng Zhang 0005 — Rutgers University, New Brunswick, NJ, USA
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2020 – today
- 2025
[j24]Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Pang, Qingsong Weng, Philip S. Yu, Yongfeng Zhang:
Recommender Systems Meet Large Language Model Agents: A Survey. Found. Trends Priv. Secur. 7(4): 247-396 (2025)- [j23]Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang:
MoralBench: Moral Evaluation of LLMs. SIGKDD Explor. 27(1): 62-71 (2025) - [c31]Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang:
iAgent: LLM Agent as a Shield between User and Recommender Systems. ACL (Findings) 2025: 18056-18084 - [c30]Sam Lin, Wenyue Hua, Lingyao Li, Zhenting Wang, Yongfeng Zhang:
ADO: Automatic Data Optimization for Inputs in LLM Prompts. ACL (Findings) 2025: 26134-26146 - [c29]Wenyue Hua, Mengting Wan, Jagannath Shashank Subramanya Sai Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang:
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. ICLR 2025 - [c28]Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang:
SLMRec: Distilling Large Language Models into Small for Sequential Recommendation. ICLR 2025 - [c27]Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang:
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents. ICLR 2025 - [c26]Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang:
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs. NAACL (Long Papers) 2025: 12342-12361 - [i54]Joshua Park, Yongfeng Zhang:
AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human Feedback. CoRR abs/2501.13333 (2025) - [i53]Sam Lin, Wenyue Hua, Lingyao Li, Zhenting Wang, Yongfeng Zhang:
ADO: Automatic Data Optimization for Inputs in LLM Prompts. CoRR abs/2502.11436 (2025) - [i52]Wujiang Xu, Zujie Liang, Kai Mei, Hang Gao, Juntao Tan, Yongfeng Zhang:
A-MEM: Agentic Memory for LLM Agents. CoRR abs/2502.12110 (2025) - [i51]Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang:
InstructAgent: Building User Controllable Recommender via LLM Agent. CoRR abs/2502.14662 (2025) - [i50]Kai Mei, Wujiang Xu, Shuhang Lin, Yongfeng Zhang:
ECCOS: Efficient Capability and Cost Coordinated Scheduling for Multi-LLM Serving. CoRR abs/2502.20576 (2025) - [i49]Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen:
A Survey on Trustworthy LLM Agents: Threats and Countermeasures. CoRR abs/2503.09648 (2025) - [i48]Balaji Rama, Kai Mei, Yongfeng Zhang:
Cerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery. CoRR abs/2503.11444 (2025) - [i47]Xiaoran Xu, Zhaoqian Xue, Chi Zhang, Jhonatan Medri, Junjie Xiong, Jiayan Zhou, Jin Jin, Yongfeng Zhang, Siyuan Ma, Lingyao Li:
Patients Speak, AI Listens: LLM-based Analysis of Online Reviews Uncovers Key Drivers for Urgent Care Satisfaction. CoRR abs/2503.20981 (2025) - [i46]Xiang Zhang, Yongfeng Zhang:
Planet as a Brain: Towards Internet of AgentSites based on AIOS Server. CoRR abs/2504.14411 (2025) - [i45]Zirui He, Mingyu Jin, Bo Shen, Ali Payani, Yongfeng Zhang, Mengnan Du:
SAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models. CoRR abs/2505.16188 (2025) - [i44]Zhenkun Li, Lingyao Li, Shuhang Lin, Yongfeng Zhang:
Know the Ropes: A Heuristic Strategy for LLM-based Multi-Agent System Design. CoRR abs/2505.16979 (2025) - [i43]Kai Mei, Xi Zhu, Hang Gao, Shuhang Lin, Yongfeng Zhang:
LiteCUA: Computer as MCP Server for Computer-Use Agent on AIOS. CoRR abs/2505.18829 (2025) - [i42]Jingyuan Huang, Xi Zhu, Minghao Guo, Yongfeng Zhang:
DeSocial: Blockchain-based Decentralized Social Networks. CoRR abs/2505.21388 (2025) - [i41]Minghao Guo, Xi Zhu, Jingyuan Huang, Kai Mei, Yongfeng Zhang:
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network. CoRR abs/2508.00429 (2025) - [i40]Xiang Li, Huizi Yu, Wenkong Wang, Yiran Wu, Jiayan Zhou, Wenyue Hua, Xinxin Lin, Wenjia Tan, Lexuan Zhu, Bingyi Chen, Guang Chen, Ming-Li Chen, Yang Zhou, Zhao Li, Themistocles L. Assimes, Yongfeng Zhang, Qingyun Wu, Xin Ma, Lingyao Li, Lizhou Fan:
DispatchMAS: Fusing taxonomy and artificial intelligence agents for emergency medical services. CoRR abs/2510.21228 (2025) - 2024
- [j22]Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao:
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. Int. J. Comput. Vis. 132(2): 581-595 (2024) - [j21]Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma:
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis. J. Heal. Informatics Res. 8(4): 658-711 (2024) - [j20]Yongfeng Zhang, Jinwei Bu, Xiaoqing Zuo, Kegen Yu, Qiulan Wang, Weimin Huang:
Vegetation Water Content Retrieval from Spaceborne GNSS-R and Multi-Source Remote Sensing Data Using Ensemble Machine Learning Methods. Remote. Sens. 16(15): 2793 (2024) - [c25]Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang:
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes. ACL (1) 2024: 4092-4114 - [c24]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Language is All a Graph Needs. EACL (Findings) 2024: 1955-1973 - [c23]Jinwei Bu, Qiulan Wang, Linghui Li, Yongfeng Zhang, Xinyu Liu:
Combining Spaceborne GNSS-R Data and Ensemble Machine Learning Methods for the Retrieval Vegetation Optical Depth. IGARSS 2024: 10616-10619 - [c22]Runhui Wang, Yongfeng Zhang:
Pre-trained Language Models for Entity Blocking: A Reproducibility Study. NAACL-HLT 2024: 8720-8730 - [i39]Guo Lin, Wenyue Hua, Yongfeng Zhang:
EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models. CoRR abs/2402.05868 (2024) - [i38]Mingyu Jin, Beichen Wang, Zhaoqian Xue, Suiyuan Zhu, Wenyue Hua, Hua Tang, Kai Mei, Mengnan Du, Yongfeng Zhang:
What if LLMs Have Different World Views: Simulating Alien Civilizations with LLM-based Agents. CoRR abs/2402.13184 (2024) - [i37]Huizi Yu, Lizhou Fan, Lingyao Li, Jiayan Zhou, Zihui Ma, Lu Xian, Wenyue Hua, Sijia He, Mingyu Jin, Yongfeng Zhang, Ashvin Gandhi, Xin Ma:
Large Language Models in Biomedical and Health Informatics: A Bibliometric Review. CoRR abs/2403.16303 (2024) - [i36]Hang Gao, Yongfeng Zhang:
Memory Sharing for Large Language Model based Agents. CoRR abs/2404.09982 (2024) - [i35]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
Large Language Model Agent for Fake News Detection. CoRR abs/2405.01593 (2024) - [i34]Wujiang Xu, Zujie Liang, Jiaojiao Han, Xuying Ning, Wenfang Lin, Linxun Chen, Feng Wei, Yongfeng Zhang:
SLMRec: Empowering Small Language Models for Sequential Recommendation. CoRR abs/2405.17890 (2024) - [i33]Xuying Ning, Wujiang Xu, Xiaolei Liu, Mingming Ha, Qiongxu Ma, Youru Li, Linxun Chen, Yongfeng Zhang:
Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. CoRR abs/2405.20710 (2024) - [i32]Jianchao Ji, Yutong Chen, Mingyu Jin, Wujiang Xu, Wenyue Hua, Yongfeng Zhang:
MoralBench: Moral Evaluation of LLMs. CoRR abs/2406.04428 (2024) - [i31]Hang Gao, Yongfeng Zhang:
VRSD: Rethinking Similarity and Diversity for Retrieval in Large Language Models. CoRR abs/2407.04573 (2024) - [i30]Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang:
LawLLM: Law Large Language Model for the US Legal System. CoRR abs/2407.21065 (2024) - [i29]Yunxiao Shi, Wujiang Xu, Mingyu Jin, Haimin Zhang, Qiang Wu, Yongfeng Zhang, Min Xu:
Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction. CoRR abs/2408.08713 (2024) - [i28]Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Themistocles L. Assimes, Xin Ma, Danielle S. Bitterman, Lin Lu, Lizhou Fan:
AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow. CoRR abs/2409.18924 (2024) - [i27]Wenyue Hua, Mengting Wan, Shashank Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang:
Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface. CoRR abs/2410.00079 (2024) - [i26]Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang:
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents. CoRR abs/2410.02644 (2024) - [i25]Xinyi Li, Yu Xu, Yongfeng Zhang, Edward C. Malthouse:
Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures. CoRR abs/2410.13909 (2024) - [i24]Hang Gao, Yongfeng Zhang:
PTR: Precision-Driven Tool Recommendation for Large Language Models. CoRR abs/2411.09613 (2024) - [i23]Zeru Shi, Zhenting Wang, Yongye Su, Weidi Luo, Fan Yang, Yongfeng Zhang:
Robustness-aware Automatic Prompt Optimization. CoRR abs/2412.18196 (2024) - 2023
- [j19]Guo Lin, Yongfeng Zhang:
Sparks of Artificial General Recommender (AGR): Experiments with ChatGPT. Algorithms 16(9): 432 (2023) - [j18]Yan Huang, Yongfeng Zhang:
Design of Healthcare Lighting in Medical Centers Based on Power Carrier Communication. Int. J. Inf. Technol. Syst. Approach 16(3): 1-14 (2023) - [j17]Yupeng Zhang, Yannan Zhai, Hui Zhang, Zhaoxin Wang, Yongfeng Zhang, Ruiliang Xu, Shengping Ruan, Jingran Zhou:
A High-Performance UVA Photodetector Based on Polycrystalline Perovskite MAPbCl3/TiO2 Nanorods Heterojunctions. Sensors 23(15): 6726 (2023) - [j16]Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu:
Discover, Explain, Improve: An Automatic Slice Detection Benchmark for Natural Language Processing. Trans. Assoc. Comput. Linguistics 11: 1537-1552 (2023) - [j15]Qianli Xing, Zhenbin Zhang, Zhen Li, Xiaozhe Liu, Yu Li, Yi Zhang, Yongfeng Zhang, Tomislav Dragicevic, José Rodríguez:
Bias-Free Predictive Control of Power Converters with LCL Filter in Micro-Energy Systems. IEEE Trans. Ind. Electron. 70(6): 5907-5916 (2023) - [c21]Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang:
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. ICLR 2023 - [c20]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, and Fake News. INRA@RecSys 2023 - [i22]Yunqi Li, Dingxian Wang, Hanxiong Chen, Yongfeng Zhang:
Transferable Fairness for Cold-Start Recommendation. CoRR abs/2301.10665 (2023) - [i21]Juntao Tan, Yongfeng Zhang:
ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. CoRR abs/2301.11765 (2023) - [i20]Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang:
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention. CoRR abs/2303.02995 (2023) - [i19]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
PBNR: Prompt-based News Recommender System. CoRR abs/2304.07862 (2023) - [i18]Guo Lin, Yongfeng Zhang:
Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT. CoRR abs/2305.04518 (2023) - [i17]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
A Preliminary Study of ChatGPT on News Recommendation: Personalization, Provider Fairness, Fake News. CoRR abs/2306.10702 (2023) - [i16]Shuyuan Xu, Wenyue Hua, Yongfeng Zhang:
OpenP5: Benchmarking Foundation Models for Recommendation. CoRR abs/2306.11134 (2023) - [i15]Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang:
Natural Language is All a Graph Needs. CoRR abs/2308.07134 (2023) - [i14]Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan:
A Content-Driven Micro-Video Recommendation Dataset at Scale. CoRR abs/2309.15379 (2023) - [i13]Kai Mei, Yongfeng Zhang:
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation. CoRR abs/2310.17488 (2023) - [i12]Xinyi Li, Yongfeng Zhang, Edward C. Malthouse:
Exploring Fine-tuning ChatGPT for News Recommendation. CoRR abs/2311.05850 (2023) - [i11]Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang:
NPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes. CoRR abs/2312.14890 (2023) - 2022
- [j14]Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang:
Improving neural topic modeling via Sinkhorn divergence. Inf. Process. Manag. 59(3): 102864 (2022) - [c19]Hongwu Liu, Shuling Hu, Qingzhong Cai, Yongfeng Zhang, Kun Zhang:
Backstepping Terminal Sliding Mode Control of FOG Inertial Platform Stability Loop Based on Extended State Observer. CRC 2022: 29-34 - [c18]Wenyue Hua, Yongfeng Zhang:
System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning. EMNLP (Findings) 2022: 601-612 - [c17]Yanbo Fang, Yongfeng Zhang:
Data-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation. EMNLP (Findings) 2022: 5883-5893 - [i10]Yujia Fan, Yongfeng Zhang:
Neural Logic Analogy Learning. CoRR abs/2202.02436 (2022) - [i9]Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen D. Guo, Kannan Achan, Yongfeng Zhang:
Causal Structure Learning with Recommendation System. CoRR abs/2210.10256 (2022) - [i8]Wenyue Hua, Lifeng Jin, Linfeng Song, Haitao Mi, Yongfeng Zhang, Dong Yu:
Discover, Explanation, Improvement: Automatic Slice Detection Framework for Natural Language Processing. CoRR abs/2211.04476 (2022) - 2021
- [j13]Yangyang Li, Mingxing Shen, Lei Yang, Chenlong Deng, Weiming Tang, Xuan Zou, Yawei Wang, Yongfeng Zhang:
Initial Assessment of Galileo Triple-Frequency Ambiguity Resolution between Reference Stations in the Hong Kong Area. Remote. Sens. 13(4): 778 (2021) - [j12]Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang:
Conversational Search and Recommendation: Introduction to the Special Issue. ACM Trans. Inf. Syst. 39(4): 38:1-38:6 (2021) - [c16]Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian:
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers. AAAI 2021: 1415-1423 - [i7]Shijie Geng, Peng Gao, Zuohui Fu, Yongfeng Zhang:
RomeBERT: Robust Training of Multi-Exit BERT. CoRR abs/2101.09755 (2021) - [i6]Yongfeng Zhang:
Problem Learning: Towards the Free Will of Machines. CoRR abs/2109.00177 (2021) - [i5]Peng Gao, Shijie Geng, Renrui Zhang, Teli Ma, Rongyao Fang, Yongfeng Zhang, Hongsheng Li, Yu Qiao:
CLIP-Adapter: Better Vision-Language Models with Feature Adapters. CoRR abs/2110.04544 (2021) - 2020
- [j11]Guang Wang, Yongfeng Zhang, Zhihan Fang, Shuai Wang, Fan Zhang, Desheng Zhang:
FairCharge: A Data-Driven Fairness-Aware Charging Recommendation System for Large-Scale Electric Taxi Fleets. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 28:1-28:25 (2020) - [j10]Yawei Wang, Xuan Zou, Chenlong Deng, Weiming Tang, Yangyang Li, Yongfeng Zhang, Jin Feng:
A Novel Method for Mitigating the GPS Multipath Effect Based on a Multi-Point Hemispherical Grid Model. Remote. Sens. 12(18): 3045 (2020) - [c15]Meet Mukadam, Mandhara Jayaram, Yongfeng Zhang:
A Representation Learning Approach to Animal Biodiversity Conservation. COLING 2020: 294-305
2010 – 2019
- 2019
- [j9]Guibing Guo, Yuan Meng, Yongfeng Zhang, Chunyan Han, Yanjie Li:
Visual Semantic Image Recommendation. IEEE Access 7: 33424-33433 (2019) - [j8]Menghua Zhang, Yongfeng Zhang, Xingong Cheng:
Finite-Time Trajectory Tracking Control for Overhead Crane Systems Subject to Unknown Disturbances. IEEE Access 7: 55974-55982 (2019) - [j7]Yuan Meng, Chunyan Han, Yongfeng Zhang, Yanjie Li, Guibing Guo:
Image Recommendation With Reciprocal Social Influence. IEEE Access 7: 132279-132285 (2019) - [j6]Xiangnan He, Zhenguang Liu, Hanwang Zhang, Chong-Wah Ngo, Svebor Karaman, Yongfeng Zhang:
Special issue on multimedia recommendation and multi-modal data analysis. Multim. Syst. 25(6): 591-592 (2019) - [j5]Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-Aware Recommendation. ACM Trans. Inf. Syst. 37(3): 28:1-28:27 (2019) - [j4]Zhenhua Li, Yongfeng Zhang, Yunhao Liu, Tianyin Xu, Ennan Zhai, Yao Liu, Xiaobo Ma, Zhenyu Li:
A Quantitative and Comparative Study of Network-Level Efficiency for Cloud Storage Services. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(1): 3:1-3:32 (2019) - [c14]Menghua Zhang, Yongfeng Zhang, Xingong Cheng:
Model-Free Adaptive Integral Sliding Mode Control for 4-DOF Tower Crane Systems. AIM 2019: 708-713 - [c13]Yongfeng Zhang:
Tutorial on Explainable Recommendation and Search. ICTIR 2019: 255-256 - [c12]Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
Recommendation in multistakeholder environments. RecSys 2019: 566-567 - [c11]Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
RMSE: Workshop on Recommendation in Multi-stakeholder Environments. RMSE@RecSys 2019 - [c10]Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose:
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. SIGIR 2019: 125-134 - [c9]Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei:
Neural Variational Correlated Topic Modeling. WWW 2019: 1142-1152 - [e1]Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang:
Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2440, CEUR-WS.org 2019 [contents] - [i4]Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose:
Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation. CoRR abs/1904.12796 (2019) - [i3]Guangyan Hu, Yongfeng Zhang, Sandro Rigo, Thu D. Nguyen:
Similarity Driven Approximation for Text Analytics. CoRR abs/1910.07144 (2019) - 2018
- [j3]Chenlong Deng, Weiming Tang, Jianhui Cui, Mingxing Shen, Zongnan Li, Xuan Zou, Yongfeng Zhang:
Triple-Frequency Code-Phase Combination Determination: A Comparison with the Hatch-Melbourne-Wübbena Combination Using BDS Signals. Remote. Sens. 10(2): 353 (2018) - [i2]Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-aware Recommendation. CoRR abs/1811.04375 (2018) - 2017
- [j2]Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, Tat-Seng Chua:
Detecting Stress Based on Social Interactions in Social Networks. IEEE Trans. Knowl. Data Eng. 29(9): 1820-1833 (2017) - [c8]Daoyi Li, Minlie Huang, Yongfeng Zhang, Xiaoyan Zhu:
Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System. ICTAI 2017: 807-814 - [i1]Yongfeng Zhang:
Explainable Recommendation: Theory and Applications. CoRR abs/1708.06409 (2017) - 2016
- [b1]Yongfeng Zhang:
Deep learning and interpolation for featured-based pattern classification. Aberystwyth University, UK, 2016 - 2015
- [c7]Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin Lysy:
SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering. AAAI 2015: 3188-3195 - [c6]Yongfeng Zhang, Changjing Shang, Qiang Shen:
Interpolation aided fuzzy image classification. FUZZ-IEEE 2015: 1-7 - [c5]Yongfeng Zhang:
Incorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation. WSDM 2015: 435-440 - 2014
- [c4]Yongfeng Zhang, Changjing Shang, Qiang Shen:
Interpolating Deep Spatio-Temporal Inference Network features for image classification. IJCNN 2014: 1819-1826 - [c3]Yongfeng Zhang:
Browser-oriented universal cross-site recommendation and explanation based on user browsing logs. RecSys 2014: 433-436 - 2013
- [c2]Yongfeng Zhang, Changjing Shang, Qiang Shen:
Interpolating destin features for image classification. UKCI 2013: 292-298 - 2012
- [j1]Zhenhua Cai, Ben Goertzel, Changle Zhou, Yongfeng Zhang, Min Jiang, Gino Yu:
Dynamics of a computational affective model inspired by Dörner's PSI theory. Cogn. Syst. Res. 17-18: 63-80 (2012)
2000 – 2009
- 2009
- [c1]Yongfeng Zhang, Xingong Cheng, Xiju Zong:
Research on Turn Ratio of Magnetic Valve Type Controlled Reactor Based on Bifurcation Theory. HIS (2) 2009: 154-157
Coauthor Index
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last updated on 2025-12-04 02:32 CET by the dblp team
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