Shiqi He

25 papers A* 4Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
AIDABench: AI Data Analytics Benchmark.
CoRR
Yibo Yang, Fei Lei, Yixuan Sun, Yantao Zeng, Chengguang Lv, Jiancao Hong, Jiaojiao Tian, Tianyu Qiu, Xin Wang, Yanbing Chen, YanJie Li, Zheng Pan, Xiaochen Zhou, Guanzhou Chen, Haoran Lv, Yuning Xu, Yue Ou, Haodong Liu, Shiqi He, Anya Jia, Yulei Xin, Huan Wu, Liang Liu, Jiaye Ge, Jianxin Dong, Dahua Lin, Wenxiu Sun
2026 — conf
TetriServe: Efficiently Serving Mixed DiT Workloads.
ASPLOS (2)
Runyu Lu, Shiqi He, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury
2025 J jnl
AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications.
CoRR
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
2025 J jnl
Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory.
CoRR
Shiqi He, Yue Cui, Xinyu Ma, Yaliang Li, Bolin Ding, Mosharaf Chowdhury
2025 J jnl
Evaluation Framework for AI Systems in "the Wild".
CoRR
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
2025 A* conf
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching.
INFOCOM
Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh
2025 J jnl
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching.
CoRR
Qifan Yan, Andrew Liu, Shiqi He, Mathias Lécuyer, Ivan Beschastnikh
2025 J jnl
Manufacturing resource outsourcing and matching: service mode selection and equilibrium evolution.
J. Oper. Res. Soc.
Hongguang Bo, Yuangang Zheng, Yifu Li, Shiqi He
2025 — conf
MatchGen: Detecting Medical Abnormal Region by Generating Matched Normal Regions.
MICCAI (16)
Xinyu Ma, Jinhui Ma, Shiqi He, Xin Che, Hon Yiu So, Lingyang Chu
2025 J jnl
Mordal: Automated Pretrained Model Selection for Vision Language Models.
CoRR
Shiqi He, Insu Jang, Mosharaf Chowdhury
2025 J jnl
RE-STNet: relational enhancement spatio-temporal networks based on skeleton action recognition.
Multim. Tools Appl.
Hongwei Chen, Shiqi He, Zexi Chen
2025 J jnl
TetriServe: Efficient DiT Serving for Heterogeneous Image Generation.
CoRR
Runyu Lu, Shiqi He, Wenxuan Tan, Shenggui Li, Ruofan Wu, Jeff J. Ma, Ang Chen, Mosharaf Chowdhury
2024 J jnl
DSTC-Net: differential spatio-temporal correlation network for similar action recognition.
Multim. Syst.
Hongwei Chen, Shiqi He, Zexi Chen
2024 A* conf
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning.
USENIX Security Symposium
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
2024 J jnl
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning.
CoRR
Zhifeng Jiang, Peng Ye, Shiqi He, Wei Wang, Ruichuan Chen, Bo Li
2023 A* conf
Anchor Sampling for Federated Learning with Partial Client Participation.
ICML
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao
2023 — conf
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.
MLSys
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
2023 J jnl
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
CoRR
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
2022 J jnl
Accelerating Federated Learning via Sampling Anchor Clients with Large Batches.
CoRR
Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu
2022 — conf
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions.
EMNLP (Industry Track)
Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022 J jnl
Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions.
CoRR
Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022 J jnl
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.
CoRR
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
2022 J jnl
Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression.
CoRR
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2022 A* conf
Sign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.
DAC
Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2021 — conf
NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions.
NeurIPS (Competition and Demos)
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