NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. - 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 004 (NeurIPS (Competition and Demos), 2021)

Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression. - Feijie Wu; Shiqi He; Song Guo 001; Zhihao Qu; Haozhao Wang; Weihua Zhuang; Jie Zhang 076 (DAC, 2022)

Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. - Rindra Ramamonjison; Haley Li; Timothy T. L. Yu; Shiqi He; Vishnu Rengan; Amin Banitalebi-Dehkordi; Zirui Zhou; Yong Zhang 004 (EMNLP (Industry Track), 2022)

Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. - Feijie Wu; Song Guo 001; Zhihao Qu; Shiqi He; Ziming Liu (CoRR, 2022)

Anchor Sampling for Federated Learning with Partial Client Participation. - Feijie Wu; Song Guo 001; Zhihao Qu; Shiqi He; Ziming Liu; Jing Gao 004 (ICML, 2023)

GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. - Shiqi He; Qifan Yan; Feijie Wu; Lanjun Wang; Mathias Lécuyer; Ivan Beschastnikh (MLSys, 2023)

Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. - Zhifeng Jiang 001; Peng Ye; Shiqi He; Wei Wang 030; Ruichuan Chen; Bo Li 001 (USENIX Security Symposium, 2024)

DSTC-Net: differential spatio-temporal correlation network for similar action recognition. - Hongwei Chen; Shiqi He; Zexi Chen (Multim. Syst., 2024)

FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching. - Qifan Yan; Andrew Liu; Shiqi He; Mathias Lécuyer; Ivan Beschastnikh (INFOCOM, 2025)

Mordal: Automated Pretrained Model Selection for Vision Language Models. - Shiqi He; Insu Jang; Mosharaf Chowdhury (CoRR, 2025)

RE-STNet: relational enhancement spatio-temporal networks based on skeleton action recognition. - Hongwei Chen; Shiqi He; Zexi Chen (Multim. Tools Appl., 2025)

Evaluation Framework for AI Systems in "the Wild". - Sarah Jabbour; Trenton Chang; Anindya Das Antar; Joseph Peper; Insu Jang; Jiachen Liu; Jae-Won Chung; Shiqi He; Michael P. Wellman; Bryan Goodman; Elizabeth Bondi-Kelly; Kevin Samy; et al. (CoRR, 2025)

Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution. - Hongguang Bo; Yuangang Zheng; Yifu Li; Shiqi He (J. Oper. Res. Soc., 2025)