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Gang Wu

Adobe Research

4 papers hereh-index 9529 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.CL1
affiliations
  • Adobe Research
HomepageORCID 0000-0002-8768-2571
same name
  • Gang Wu — 14 papers, h 8
  • Gang Wu — 11 papers, h 15
  • Gang Wu — 9 papers
  • Gang Wu — 8 papers, h 18
  • Gang Wu — 4 papers
  • Gang Wu — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedHigher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs

6 citations · 14 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CL2025★ 2 cited

ScreenLLM: Stateful Screen Schema for Efficient Action Understanding and Prediction

Yiqiao Jin, Stefano Petrangeli, Yu Shen +1

Graphical User Interface (GUI) agents are autonomous systems that interpret and generate actions, enabling intelligent user assistance and automation. Effective training of these a…

cs.AI2020★ 6 cited

Structured Policy Iteration for Linear Quadratic Regulator

Youngsuk Park, Ryan A. Rossi, Zheng Wen +2

Linear quadratic regulator (LQR) is one of the most popular frameworks to tackle continuous Markov decision process tasks. With its fundamental theory and tractable optimal policy,…

cs.LG2020

Scalable Bid Landscape Forecasting in Real-time Bidding

Aritra Ghosh, Saayan Mitra, Somdeb Sarkhel +3

In programmatic advertising, ad slots are usually sold using second-price (SP) auctions in real-time. The highest bidding advertiser wins but pays only the second-highest bid (know…

cs.LG2019★ 6 cited

Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs

Ryan A. Rossi, Anup Rao, Sungchul Kim +3

In this paper, we introduce the notion of motif closure and describe higher-order ranking and link prediction methods based on the notion of closing higher-order network motifs. Th…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.