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Gang Wu

Adobe Research

14 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 author12
  • last author2

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG4
  • cs.AI3
  • cs.CL2
  • cs.CR1
affiliations
  • Adobe Research
HomepageORCID 0000-0002-8768-2571
same name
  • Gang Wu — 30 papers, h 8
  • Gang Wu — 16 papers, h 29
  • Gang Wu — 15 papers, h 15
  • Gang Wu — 15 papers, h 12
  • Gang Wu — 14 papers, h 13
  • Gang Wu — 12 papers, h 18

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
20192026
most citedHighlightMe: Detecting Highlights from Human-Centric Videos

10 citations · 38 across the 13 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2025

Atom: Efficient On-Device Video-Language Pipelines Through Modular Reuse

Kunjal Panchal, Saayan Mitra, Somdeb Sarkhel +4

Recent advances in video-language models have enabled powerful applications like video retrieval, captioning, and assembly. However, executing such multi-stage pipelines efficientl…

cs.LG2021

Online MAP Inference and Learning for Nonsymmetric Determinantal Point Processes

Aravind Reddy, Ryan A. Rossi, Zhao Song +6

In this paper, we introduce the online and streaming MAP inference and learning problems for Non-symmetric Determinantal Point Processes (NDPPs) where data points arrive in an arbi…

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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