Shiqi He

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 13

Top Topics

Optimization Problems

Action Recognition

Natural Language Descriptions

Top Venues

USENIX Security Symposium

EMNLP (Industry Track)

Publications

Hongwei Chen, Shiqi He, Zexi Chen
DSTC-Net: differential spatio-temporal correlation network for similar action recognition. Multim. Syst. 30 (3) (2024)
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. CoRR (2024)
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. USENIX Security Symposium (2024)
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. MLSys (2023)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
Anchor Sampling for Federated Learning with Partial Client Participation. ICML (2023)
Rindranirina Ramamonjison, Timothy T. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR (2023)
Rindranirina Ramamonjison, Haley Li, Timothy T. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions. CoRR (2022)
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. CoRR (2022)
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR (2022)
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. DAC (2022)
Rindra Ramamonjison, Haley Li, Timothy T. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. EMNLP (Industry Track) (2022)
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. CoRR (2022)
Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) (2021)