Search Results for author: Hang Qi

Found 14 papers, 5 papers with code

Efficient Image Representation Learning with Federated Sampled Softmax

no code implementations9 Mar 2022 Sagar M. Waghmare, Hang Qi, Huizhong Chen, Mikhail Sirotenko, Tomer Meron

This work creates a possibility for efficiently learning image representations on decentralized data with a large number of classes under the federated setting.

Descriptive Federated Learning +1

FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients

no code implementations28 Jan 2022 Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi

In classical federated learning, the clients contribute to the overall training by communicating local updates for the underlying model on their private data to a coordinating server.

Federated Learning

Federated Multi-Target Domain Adaptation

no code implementations17 Aug 2021 Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang

We further take the server-client and inter-client domain shifts into account and pose a domain adaptation problem with one source (centralized server data) and multiple targets (distributed client data).

Domain Adaptation Federated Learning +3

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

8 code implementations13 Sep 2019 Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown

In this work, we look at the effect such non-identical data distributions has on visual classification via Federated Learning.

Federated Learning General Classification +1

Low-Shot Learning with Imprinted Weights

1 code implementation CVPR 2018 Hang Qi, Matthew Brown, David G. Lowe

We call this process weight imprinting as it directly sets weights for a new category based on an appropriately scaled copy of the embedding layer activations for that training example.

Scene-centric Joint Parsing of Cross-view Videos

no code implementations16 Sep 2017 Hang Qi, Yuanlu Xu, Tao Yuan, Tianfu Wu, Song-Chun Zhu

The proposed joint parsing framework represents such correlations and constraints explicitly and generates semantic scene-centric parse graphs.

Video Understanding

Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation

no code implementations15 Dec 2015 Weixin Li, Jungseock Joo, Hang Qi, Song-Chun Zhu

The AOG embeds a context sensitive grammar that can describe the hierarchical composition of news topics by semantic elements about people involved, related places and what happened, and model contextual relationships between elements in the hierarchy.


A Restricted Visual Turing Test for Deep Scene and Event Understanding

no code implementations6 Dec 2015 Hang Qi, Tianfu Wu, Mun-Wai Lee, Song-Chun Zhu

and a sequence of story-line based queries, the task is to provide answers either simply in binary form "true/false" (to a polar query) or in an accurate natural language description (to a non-polar query).

Question Answering Video Captioning +1

Lift-Based Bidding in Ad Selection

no code implementations17 Jul 2015 Jian Xu, Xuhui Shao, Jianjie Ma, Kuang-Chih Lee, Hang Qi, Quan Lu

In this paper, we propose a new bidding strategy and prove that if the bid price is decided based on the performance lift rather than absolute performance value, advertisers can actually gain more action events.

Smart Pacing for Effective Online Ad Campaign Optimization

no code implementations18 Jun 2015 Jian Xu, Kuang-Chih Lee, Wentong Li, Hang Qi, Quan Lu

In this paper, we propose a smart pacing approach in which the delivery pace of each campaign is learned from both offline and online data to achieve smooth delivery and optimal performance goals.

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