Search Results for author: Qi He

Found 12 papers, 3 papers with code

Bounds of Block Rewards in Honest PinFi Systems

no code implementations1 Apr 2024 Qi He, Yunwei Mao, Ju Li

PinFi is a class of novel protocols for decentralized pricing of dissipative assets, whose value naturally declines over time.

FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently

no code implementations26 Jan 2024 Zicun Cong, Shi Baoxu, Shan Li, Jaewon Yang, Qi He, Jian Pei

To address the bias in node features and model parameters, FairSample is complemented by a regularization objective to optimize fairness.

Attribute Fairness

Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling

no code implementations16 Dec 2023 Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He

Second, there is a concern with the quality of the content generative AI produces, which often lacks the distinctiveness and authenticity that human-created content possesses.

Improving Anomaly Segmentation with Multi-Granularity Cross-Domain Alignment

no code implementations16 Aug 2023 Ji Zhang, Xiao Wu, Zhi-Qi Cheng, Qi He, Wei Li

Anomaly segmentation plays a pivotal role in identifying atypical objects in images, crucial for hazard detection in autonomous driving systems.

Autonomous Driving Contrastive Learning

Two-Way Semantic Transmission of Images without Feedback

1 code implementation15 Jun 2023 Kaiwen Yu, Qi He, Gang Wu

As a competitive technology for 6G, semantic communications can significantly improve transmission efficiency.

Generative Adversarial Network

Trees in transformers: a theoretical analysis of the Transformer's ability to represent trees

no code implementations16 Dec 2021 Qi He, João Sedoc, Jordan Rodu

To date, there are no theoretical analyses of the Transformer's ability to capture tree structures.

Salience and Market-aware Skill Extraction for Job Targeting

no code implementations27 May 2020 Baoxu Shi, Jaewon Yang, Feng Guo, Qi He

Based on the above promising results, we deployed the \model ~online to extract job targeting skills for all $20$M job postings served at LinkedIn.

Distinguishing Individual Red Pandas from Their Faces

no code implementations9 Aug 2019 Qi He, Qijun Zhao, Ning Liu, Peng Chen, Zhihe Zhang, Rong Hou

We are going to release our database and model in the public domain to promote the research on automatic animal identification and particularly on the technique for protecting red pandas.

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