Bin Wu
Artificial Intelligence · with Shi · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 13 citations into it
- Information Systems — 11 citations into it
Whom Bin Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yehuda Koren
- Robert M. Bell
- Martin A. Zinkevich
- Yizhou Sun
- Hsiang-Fu Yu
- Yunhong Zhou
- Rainer Gemulla
- Yong Zhuang
Papers from Bin Wu's perspective
Ordered by how strongly the researchers Bin Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- Normalized cuts and image segmentation
- Matrix Factorization Techniques for Recommender Systems
- Parallelized Stochastic Gradient Descent
- Large-Scale Parallel Collaborative Filtering for the Netflix Prize
- Lessons from the Netflix prize challenge
- A fast parallel SGD for matrix factorization in shared memory systems
- The PageRank Citation Ranking : Bringing Order to the Web
- GroupLens: applying collaborative filtering to Usenet news
- Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems
- Scaling personalized web search
Their papers
- A Fast Distributed Stochastic Gradient Descent Algorithm for Matrix Factorization (2014) — 25 citations
- HeteSim: A General Framework for Relevance Measure in Heterogeneous Networks (2013) — 329 citations