1. Fuzheng Zhang（张富峥） - Google Scholar
Fuzheng Zhang(张富峥) 「快意」大模型中心负责人,快手 Verified email at mail.ustc.edu.cn - Homepage
「快意」大模型中心负责人，快手 - Cited by 13,709 - Large Language Model - Multimodal Large Language Model
2. Zhang Fu Zheng (张福正) - MyDramaList
Zhang Fu Zheng. Name: Zhang Fu Zheng; Native name: 张福正; Also Known as: Zhang Fuzheng, 張福正; Nationality: Chinese; Gender: Male; Born: November 1, 1995 ...
Chinese Drama, 2024, 40 eps
3. Fuzheng Zhang（张富峥） - Google Scholar
「快意」大模型中心负责人，快手 - 引用: 13679 件 - Large Language Model - Multimodal Large Language Model
「快意」大模型中心负责人，快手 - 引用: 13,709 件 - Large Language Model - Multimodal Large Language Model
4. Fuzheng Zhang - Semantic Scholar
Semantic Scholar profile for Fuzheng Zhang, with 948 highly influential citations and 73 scientific research papers.
Semantic Scholar profile for Fuzheng Zhang, with 974 highly influential citations and 73 scientific research papers.
5. Zhang Fuzheng - The Movie Database
Fuzheng Zhang is known as an Actor. Some of his work includes Green Snake, A Record of a Mortal's Journey to Immortality, Word of Honor, The Magical Chef of ...
Fuzheng Zhang is known as an Actor. Some of his work includes Green Snake, A Record of a Mortal's Journey to Immortality, Word of Honor, The Magical Chef of Ice and Fire, The Young Brewmaster's Adventure, How dare you!？, My Girlfriend is an Alien, and Legendary Twins.
6. [1905.04413] Knowledge-aware Graph Neural Networks with Label ...
11 mei 2019 · Here we propose Knowledge-aware Graph Neural Networks with Label Smoothness regularization (KGNN-LS) to provide better recommendations.
Knowledge graphs capture structured information and relations between a set of entities or items. As such knowledge graphs represent an attractive source of information that could help improve recommender systems. However, existing approaches in this domain rely on manual feature engineering and do not allow for an end-to-end training. Here we propose Knowledge-aware Graph Neural Networks with Label Smoothness regularization (KGNN-LS) to provide better recommendations. Conceptually, our approach computes user-specific item embeddings by first applying a trainable function that identifies important knowledge graph relationships for a given user. This way we transform the knowledge graph into a user-specific weighted graph and then apply a graph neural network to compute personalized item embeddings. To provide better inductive bias, we rely on label smoothness assumption, which posits that adjacent items in the knowledge graph are likely to have similar user relevance labels/scores. Label smoothness provides regularization over the edge weights and we prove that it is equivalent to a label propagation scheme on a graph. We also develop an efficient implementation that shows strong scalability with respect to the knowledge graph size. Experiments on four datasets show that our method outperforms state of the art baselines. KGNN-LS also achieves strong performance in cold-start scenarios where user-item interactions are sparse.
![[1905.04413] Knowledge-aware Graph Neural Networks with Label ...](http://fakehost/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
7. Fuzheng Zhang - dblp
List of computer science publications by Fuzheng Zhang.
List of computer science publications by Fuzheng Zhang
8. [PDF] RippleNet: Propagating User Preferences on the Knowledge ...
941 Citations ; Hongwei WangFuzheng Zhang +4 authors. M. Guo · ACM Trans. Inf. Syst. 2019 ; Fan YangYong YueGangmin LiT. PayneK. L. Man · IEEE Access. 2023.
9. [PDF] Points-of-Interest Relationship Inference with Spatial-enriched ...
[32] Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao,. Wenjie Li, and Zhongyuan Wang. 2019. Knowledge-aware Graph Neural Net- works with ...
10. Fuzheng Zhang | Papers With Code
Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks ... 5 code implementations • 11 May 2019 • Hongwei Wang, Fuzheng Zhang, ...
Papers by Fuzheng Zhang with links to code and results.
11. Tin-Yau Tam's homepage - 2019 ICMAA (retired) - Google Sites
If you need an acceptance letter of your talk, please email Tin-Yau Tam (ttam@unr.edu) and Fuzhen Zhang (zhang@nova.edu). Program.
The 8th International Conference on Matrix Analysis and Applications (ICMAA 2019) July 15-18, 2019 University of Nevada, Reno, Nevada, USA Purpose This meeting aims to stimulate research and interaction of mathematicians in all aspects of linear and multilinear algebra, matrix analysis, graph
12. Knowledge-aware Graph Neural Networks with Label Smoothness ...
Hongwei Wang, Jure Leskovec, Fuzheng Zhang, Miao Zhao, Wenjie Li, Mengdi Zhang, Zhongyuan Wang ... Duration: 4 Aug 2019 → 8 Aug 2019. Publication series ...
Knowledge graphs capture structured information and relations between a set of entities or items. As such knowledge graphs represent an attractive source of information that could help improve recommender systems. However, existing approaches in this domain rely on manual feature engineering and do not allow for an end-to-end training. Here we propose Knowledge-aware Graph Neural Networks with Label Smoothness regularization (KGNN-LS) to provide better recommendations. Conceptually, our approach computes user-specific item embeddings by first applying a trainable function that identifies important knowledge graph relationships for a given user. This way we transform the knowledge graph into a user-specific weighted graph and then apply a graph neural network to compute personalized item embeddings. To provide better inductive bias, we rely on label smoothness assumption, which posits that adjacent items in the knowledge graph are likely to have similar user relevance labels/scores. Label smoothness provides regularization over the edge weights and we prove that it is equivalent to a label propagation scheme on a graph. We also develop an efficient implementation that shows strong scalability with respect to the knowledge graph size. Experiments on four datasets show that our method outperforms state of the art baselines. KGNN-LS also achieves strong performance in cold-start scenarios where user-item interactions are sparse.
13. Zili Wang's Homepage
He also interned at Meituan-Dianping's AI Lab (June 2019 - November 2019) with Dr. Jingang Wang and Dr. Fuzheng Zhang ... Ka Man Lo, Zeyu Huang, Zihan Qiu, Zili ...
Zili Wang, Algorithm Engineer at Xiaohongshu Inc.
14. Multi-Temporal Relationship Inference in Urban Areas - ACM Digital Library
4 aug 2023 · 2019. Mixhop: Higher-order graph ... Yile Chen, Xiucheng Li, Gao Cong, Cheng Long, Zhifeng Bao, Shang Liu, Wanli Gu, and Fuzheng Zhang.
research-article
15. HIN Resource: Paper - Chuan Shi
2019. Yukuo Cen, Xu Zou, Jianwei Zhang , Hongxia Yang, Jingren Zhou, Jie ... Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu. SHINE ...
16. Bias in Knowledge Graphs - An Empirical Study with Movie ...
30 aug 2021 · In Companion Proceedings of The 2019 World Wide Web Conference, pages 896-903, 2019. ... Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, ...
Public knowledge graphs such as DBpedia and Wikidata have been recognized as interesting sources of background knowledge to build content-based recommender systems. They can be used to add information about the items to be recommended and links between those. While quite a few approaches for exploiting knowledge graphs have been proposed, most of them aim at optimizing the recommendation strategy while using a fixed knowledge graph. In this paper, we take a different approach, i.e., we fix the recommendation strategy and observe changes when using different underlying knowledge graphs. Particularly, we use different language editions of DBpedia. We show that the usage of different knowledge graphs does not only lead to differently biased recommender systems, but also to recommender systems that differ in performance for particular fields of recommendations.
17. [PDF] Knowledge-aware Graph Neural Networks with Label Smoothness ...
Hongwei Wang, Fuzheng Zhang, Mengdi Zhang, Jure Leskovec, Miao Zhao,. Wenjie Li, and Zhongyuan Wang. 2019. ... Investigating the theoretical relationship ...
18. Fuzhen Zhuang (庄福振) - Google Scholar
Proceedings of the AAAI conference on artificial intelligence 33 (01), 5989-5996, 2019 ... Z Zhang, F Zhuang, H Zhu, Z Shi, H Xiong, Q He. Proceedings of ...
Professor at Institute of Artificial Intelligence, Beihang University - Cited by 18,864 - Data Mining - Transfer Learning - Multi-task Learning - Recommender Systems - Knowledge Graph
19. jianxun lian - Microsoft
CIKM 2019 - International Conference on Information and Knowledge Management | November 2019 ... Jianxun Lian, Fuzheng Zhang, Min Hou, Hongwei Wang, Xing Xie, ...
jianxun lian's home page
20. Jingyuan Zhang - ACL Anthology
| Zijia Lin | Jingyuan Zhang | Fuzheng Zhang | Zhongyuan Wang | Bin Chen ... 2019. pdf bib abs. Integration of Knowledge Graph Embedding Into Topic ...
pdf bib absDecoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMsChenxi Sun | Hongzhi Zhang | Zijia Lin | Jingyuan Zhang | Fuzheng Zhang | Zhongyuan Wang | Bin Chen | Chengru Song | Di Zhang | Kun Gai | Deyi XiongProceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
21. Knowledge-aware Graph Neural Networks with Label Smoothness ...
Fuzheng Zhang. Fuzheng Zhang. Meituan-Dianping Group, Beijing, China. View ... Published: 25 July 2019 Publication History. 356citation4,109Downloads.
Search ACM Digital Library
22. Weinan Zhang - SJTU
Weinan Zhang, Full Professor in Shanghai Jiao Tong University. Research topics include reinforcement learning, data science, robotics, recommender systems.
Weinan Zhang, Full Professor in Shanghai Jiao Tong University. Research topics include reinforcement learning, data science, robotics, recommender systems. Former intern at Microsoft, Google and DERI.
23. Fuzheng Zhang
Fuzhen Zhuang, Yingmin Zhou, Haochao Ying, Fuzheng Zhang, Xiang Ao, Xing Xie, Qing He, Hui Xiong. Journal of Computer Science and Technology (JCST). 2019.
Director of NLP & Audio Intelligence Center, Kuaishou
24. 中国科学技术大学 Lian Defu--Home--Scientific Research
南京信息工程大学学报, 2019年第3期, [PDF]. Haoyu Wang, Defu Lian* and ... Defu Lian, Zhenyu Zhang, Yong Ge, Fuzheng Zhang, Nicholas Jing Yuan and Xing Xie.
连德富,Lian Defu,中国科学技术大学,Scientific Research连德富,
25. Influence of surface roughness on the adhesion hysteresis of thin film
Published in: 2019 IEEE 14th International Conference on Nano/Micro Engineered ... Qijing lin; Fuzheng Zhang; Feng Han; Man Zhao. All Authors. Sign In or ...
The influence of surface topography on adhesion hysteresis of thin film was studied. The Cu/Ti bilayer thin film was fabricated using dc magnetron sputtering technology and its surface adhesion force was measured using force-displacement curves of AFM. The experiment results show that the unload curve exhibits obvious adhesion hysteresis. The theoretical analysis on the influence of thin film roughness to the adhesion hysteresis was carried out using JKR model. The results show that the load curve and unload curve constitute a closed curve and that the smoother the surface, the more obvious adhesion hysteresis (that is, the rougher the surface, the less obvious adhesion hysteresis).
26. Multitask feature learning approach for knowledge graph enhanced ...
14 mei 2021 · Fuzheng Zhang, Nicholas Jing Yuan, Defu Lian, Xing Xie, and Wei-Ying ... 2019 World Wide Web Conference. ACM, 2019, pp. 896–903. 31. D ...
Introducing a knowledge graph into a recommender system as auxiliary information can effectively solve the sparse and cold start problems existing in traditional recommender systems. In recent years, many researchers have performed related work. A ...
