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2020 – today
- 2025
[j3]Hongguang Bo
, Yuangang Zheng, Yifu Li, Shiqi He:
Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution. J. Oper. Res. Soc. 76(4): 772-789 (2025)- [j2]Hongwei Chen, Shiqi He, Zexi Chen:
RE-STNet: relational enhancement spatio-temporal networks based on skeleton action recognition. Multim. Tools Appl. 84(8): 4049-4069 (2025) - [c8]Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh:
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching. INFOCOM 2025: 1-10 - [c7]Xinyu Ma, Jinhui Ma, Shiqi He, Xin Che, Hon Yiu So, Lingyang Chu:
MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions. MICCAI (16) 2025: 321-331 - [i12]Shiqi He, Insu Jang, Mosharaf Chowdhury:
Mordal: Automated Pretrained Model Selection for Vision Language Models. CoRR abs/2502.00241 (2025) - [i11]Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh:
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching. CoRR abs/2504.15366 (2025) - [i10]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, Rada Mihalcea, Mosharaf Chowdhury, David Jurgens, Lu Wang:
Evaluation Framework for AI Systems in "the Wild". CoRR abs/2504.16778 (2025) - [i9]Dawei Gao, Zitao Li, Yuexiang Xie, Weirui Kuang, Liuyi Yao, Bingchen Qian, Zhijian Ma, Yue Cui, Haohao Luo, Shen Li, Lu Yi, Yi Yu, Shiqi He, Zhiling Luo, Wenmeng Zhou, Zhicheng Zhang, Xuguang He, Ziqian Chen, Weikai Liao, Farruh Isakulovich Kushnazarov, Yaliang Li, Bolin Ding, Jingren Zhou:
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications. CoRR abs/2508.16279 (2025) - [i8]Runyu Lu, Shiqi He, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury:
TetriServe: Efficient DiT Serving for Heterogeneous Image Generation. CoRR abs/2510.01565 (2025) - [i7]Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury:
Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory. CoRR abs/2510.19838 (2025) - 2024
- [j1]Hongwei Chen, Shiqi He, Zexi Chen:
DSTC-Net: differential spatio-temporal correlation network for similar action recognition. Multim. Syst. 30(3): 153 (2024) - [c6]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 - [i6]Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li:
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning. CoRR abs/2401.02880 (2024) - 2023
- [c5]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao:
Anchor Sampling for Federated Learning with Partial Client Participation. ICML 2023: 37379-37416 - [c4]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 - [i5]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. CoRR abs/2303.08233 (2023) - 2022
- [c3]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: 193-198 - [c2]Rindra Ramamonjison, Haley Li, Timothy T. L. 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: 29-62 - [i4]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 abs/2204.06787 (2022) - [i3]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu:
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches. CoRR abs/2206.05891 (2022) - [i2]Rindranirina Ramamonjison, Haley Li, Timothy T. L. 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 abs/2209.15565 (2022) - [i1]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 abs/2212.01523 (2022) - 2021
- [c1]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: 189-203
Coauthor Index
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