Forrest Sheng Bao

According to our database1, Forrest Sheng Bao authored at least 59 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
On the Intractability to Synthesize Factual Inconsistencies in Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path.
CoRR, 2023

Codepod: A Namespace-Aware, Hierarchical Jupyter for Interactive Development at Scale.
CoRR, 2023

DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Two-stage PCB Routing Using Polygon-based Dynamic Partitioning and MCTS.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
DocAsRef: A Pilot Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely.
CoRR, 2022

Circuit Routing Using Monte Carlo Tree Search and Deep Reinforcement Learning.
Proceedings of the 2022 International Symposium on VLSI Design, Automation and Test, 2022

SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Making Images Resilient to Adversarial Example Attacks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
BHDL: A Lucid, Expressive, and Embedded Programming Language and System for PCB Designs.
Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks.
CoRR, 2020

Triaging moderate COVID-19 and other viral pneumonias from routine blood tests.
CoRR, 2020

End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization.
CoRR, 2020

RLScheduler: an automated HPC batch job scheduler using reinforcement learning.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Vectorizing disks blocks for efficient storage system via deep learning.
Parallel Comput., 2019

RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning.
CoRR, 2019

Real-time dual-modal vein imaging system.
Int. J. Comput. Assist. Radiol. Surg., 2019

Multi-Domain Gated CNN for Review Helpfulness Prediction.
Proceedings of the World Wide Web Conference, 2019

Reinforcement Learning for User Intent Prediction in Customer Service Bots.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Modeling HPC Storage Performance Using Long Short-Term Memory Networks.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019

Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Review Helpfulness Prediction with Embedding-Gated CNN.
CoRR, 2018

Accelerating Boolean Satisfiability (SAT) solving by common subclause elimination.
Artif. Intell. Rev., 2018

Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017
Mindboggling morphometry of human brains.
PLoS Comput. Biol., 2017

Aspect Extraction from Product Reviews Using Category Hierarchy Information.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Detecting (Un)Important Content for Single-Document News Summarization.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming.
PLoS Comput. Biol., 2016

A Complex Prime Numerical Representation of Amino Acids for Protein Function Comparison.
J. Comput. Biol., 2016

Aspect-Based Helpfulness Prediction for Online Product Reviews.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Block2Vec: A Deep Learning Strategy on Mining Block Correlations in Storage Systems.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

Relationship Between Video Game Events and Player Emotion Based on EEG.
Proceedings of the Human-Computer Interaction. Novel User Experiences, 2016

2015
Epileptic focus localization using EEG based on discrete wavelet transform through full-level decomposition.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Gossiping along the Path: A Direction-Biased Routing Scheme for Wireless Ad Hoc Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

EEG-based seizure detection using discrete wavelet transform through full-level decomposition.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Accelerating SAT Solving by Common Subclause Elimination.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Coverage-based lossy node localization in wireless sensor networks using Chi-square test.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014

2012
A Review of Tree Convex Sets Test.
Comput. Intell., 2012

ASP+POMDP: Integrating non-monotonic logic programming and probabilistic planning on robots.
Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Automated extraction of nested sulcus features from human brain MRI data.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Combining Probabilistic Planning and Logic Programming on Mobile Robots.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Temporally Expressive Planning Based on Answer Set Programming with Constraints.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction.
Comput. Intell. Neurosci., 2011

A Temporally Expressive Planner Based on Answer Set Programming with Constraints: Preliminary Design.
Proceedings of the Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning, 2011

Medical Treatment Conflict Resolving in Answer Set Programming.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

The AC(C) Language: Integrating Answer Set Programming and Constraint Logic Programming.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
General Scaled Support Vector Machines
CoRR, 2010

Fast Phased Small RNA Cycle Counting Algorithms.
Proceedings of the 10th IEEE International Conference on Bioinformatics and Bioengineering, 2010

2009
A Survey of Tree Convex Sets Test
CoRR, 2009

Automated Epilepsy Diagnosis Using Interictal Scalp EEG
CoRR, 2009

2008
Recognition of Epileptic EEG Using Probabilistic Neural Network
CoRR, 2008

Recognition of Neonatal Facial Expressions of Acute Pain Using Boosted Gabor Features.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

A New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

2007
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
CoRR, 2007

A Novel Model of Working Set Selection for SMO Decomposition Methods
CoRR, 2007

An Entropy-Based Weighted Clustering Algorithm and Its Optimization for Ad Hoc Networks.
Proceedings of the Third IEEE International Conference on Wireless and Mobile Computing, 2007

A Novel Model of Working Set Selection for SMO Decomposition Methods.
Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), 2007


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