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2020 – today
- 2024
[i6]David Yunis, Siyu Huo, Chulaka Gunasekara, Danish Contractor:
Reducing the Scope of Language Models with Circuit Breakers. CoRR abs/2410.21597 (2024)- 2023
- [j1]Michael Mackay
, Siyu Huo, Marcus Kaiser:
Spatial organisation of the mesoscale connectome: A feature influencing synchrony and metastability of network dynamics. PLoS Comput. Biol. 19(8) (2023) - [c11]Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal, Sampath Dechu, Siyu Huo, Vatche Isahagian, Vinod Muthusamy, Naveen Purushothaman, Renuka Sindhgatta:
Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks. AAAI 2023: 15654-15660 - [c10]Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Accelerating the Support of Conversational Interfaces for RPAs Through APIs. BPM (Blockchain and RPA Forum) 2023: 165-180 - 2022
- [c9]Prerna Agarwal, Buyu Gao, Siyu Huo, Prabhat Reddy, Sampath Dechu, Yazan Obeidi, Vinod Muthusamy, Vatche Isahagian, Sebastian Carbajales:
A Process-Aware Decision Support System for Business Processes. KDD 2022: 2673-2681 - [i5]Siyu Huo, Kushal Mukherjee, Jayachandu Bandlamudi, Vatche Isahagian, Vinod Muthusamy, Yara Rizk:
Natural Language Sentence Generation from API Specifications. CoRR abs/2206.06868 (2022) - 2021
- [c8]Siyu Huo, Hagen Völzer, Prabhat Reddy, Prerna Agarwal, Vatche Isahagian, Vinod Muthusamy:
Graph Autoencoders for Business Process Anomaly Detection. BPM 2021: 417-433 - 2020
- [c7]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Online Planner Selection with Graph Neural Networks and Adaptive Scheduling. AAAI 2020: 5077-5084 - [c6]Bishwaranjan Bhattacharjee, John R. Kender, Matthew Hill, Parijat Dube, Siyu Huo, Michael R. Glass, Brian M. Belgodere, Sharath Pankanti, Noel Codella, Patrick Watson:
P2L: Predicting Transfer Learning for Images and Semantic Relations. CVPR Workshops 2020: 3284-3293
2010 – 2019
- 2019
- [c5]Parijat Dube, Bishwaranjan Bhattacharjee, Siyu Huo, Patrick Watson, Brian M. Belgodere:
Automatic Labeling of Data for Transfer Learning. CVPR Workshops 2019: 122-129 - [c4]Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal:
Efficient Global String Kernel with Random Features: Beyond Counting Substructures. KDD 2019: 520-528 - [c3]Siyu Huo, Tengfei Ma, Jie Chen, Maria Chang, Lingfei Wu, Michael Witbrock:
Graph Enhanced Cross-Domain Text-to-SQL Generation. TextGraphs@EMNLP 2019: 159-163 - [i4]Patrick Ferber, Tengfei Ma, Siyu Huo, Jie Chen, Michael Katz:
IPC: A Benchmark Data Set for Learning with Graph-Structured Data. CoRR abs/1905.06393 (2019) - [i3]Bishwaranjan Bhattacharjee, Noel Codella, John R. Kender, Siyu Huo, Patrick Watson, Michael R. Glass, Parijat Dube, Matthew Hill, Brian M. Belgodere:
P2L: Predicting Transfer Learning for Images and Semantic Relations. CoRR abs/1908.07630 (2019) - [i2]Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal:
Efficient Global String Kernel with Random Features: Beyond Counting Substructures. CoRR abs/1911.11121 (2019) - 2018
- [c2]Siyu Huo, Chongxin Huang:
Optimization of Active Distribution Network Source-Grid-Load Interactive Operation. CCIS 2018: 979-982 - [i1]Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz:
Adaptive Planner Scheduling with Graph Neural Networks. CoRR abs/1811.00210 (2018) - 2015
- [c1]ChengBing He, Siyu Huo, Han Wang, QunFei Zhang, Jianguo Huang:
Single carrier with multi-channel time-frequency domain equalization for underwater acoustic communications. ICASSP 2015: 3009-3013
Coauthor Index
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