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ORCIDForrest Sheng Bao
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2020 – today
- 2024
[c37]Ge Luo, Weisi Fan, Miaoran Li, Youbiao He, Yinfei Yang, Forrest Sheng Bao:
On the Intractability to Synthesize Factual Inconsistencies in Summarization. EACL (Findings) 2024: 1026-1037- 2023
- [c36]Youbiao He, Hebi Li, Ge Luo, Forrest Sheng Bao:
Two-stage PCB Routing Using Polygon-based Dynamic Partitioning and MCTS. DATE 2023: 1-2 - [c35]Forrest Sheng Bao, Ruixuan Tu
, Ge Luo, Yinfei Yang, Hebi Li, Minghui Qiu, Youbiao He, Cen Chen:
DocAsRef: An Empirical Study on Repurposing Reference-based Summary Quality Metrics as Reference-free Metrics. EMNLP (Findings) 2023: 1226-1235 - [i15]Hebi Li, Forrest Sheng Bao, Qi Xiao, Jin Tian:
Codepod: A Namespace-Aware, Hierarchical Jupyter for Interactive Development at Scale. CoRR abs/2301.02410 (2023) - [i14]Md. Hasanur Rashid, Youbiao He, Forrest Sheng Bao, Dong Dai:
IOPathTune: Adaptive Online Parameter Tuning for Parallel File System I/O Path. CoRR abs/2301.06622 (2023) - 2022
- [c34]Ge Luo, Hebi Li, Youbiao He, Forrest Sheng Bao:
PrefScore: Pairwise Preference Learning for Reference-free Summarization Quality Assessment. COLING 2022: 5896-5903 - [c33]Shixin Tian, Ying Cai, Forrest Sheng Bao, Ramakrishna Oruganti:
Making Images Resilient to Adversarial Example Attacks. ICANN (3) 2022: 188-199 - [c32]Forrest Sheng Bao, Ge Luo, Hebi Li, Minghui Qiu, Yinfei Yang, Youbiao He, Cen Chen:
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling. NAACL-HLT 2022: 2450-2458 - [c31]Youbiao He, Hebi Li, Jin Tian, Forrest Sheng Bao:
Circuit Routing Using Monte Carlo Tree Search and Deep Reinforcement Learning. VLSI-DAT 2022: 1-5 - [i13]Forrest Sheng Bao, Ruixuan Tu, Ge Luo:
DocAsRef: A Pilot Empirical Study on Repurposing Reference-Based Summary Quality Metrics Reference-Freely. CoRR abs/2212.10013 (2022) - 2021
- [c30]Hebi Li, Youbiao He, Qi Xiao, Jin Tian, Forrest Sheng Bao:
BHDL: A Lucid, Expressive, and Embedded Programming Language and System for PCB Designs. DAC 2021: 355-360 - 2020
- [c29]Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao, Bing Xie:
RLScheduler: an automated HPC batch job scheduler using reinforcement learning. SC 2020: 31 - [i12]Forrest Sheng Bao, Hebi Li, Ge Luo, Cen Chen, Yinfei Yang, Minghui Qiu:
End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization. CoRR abs/2005.06377 (2020) - [i11]Forrest Sheng Bao, Youbiao He, Jie Liu, Yuanfang Chen, Qian Li, Christina R. Zhang, Lei Han, Baoli Zhu, Yaorong Ge, Shi Chen, Ming Xu, Liu Ouyang:
Triaging moderate COVID-19 and other viral pneumonias from routine blood tests. CoRR abs/2005.06546 (2020) - [i10]Youbiao He, Forrest Sheng Bao:
Circuit Routing Using Monte Carlo Tree Search and Deep Neural Networks. CoRR abs/2006.13607 (2020)
2010 – 2019
- 2019
- [j8]Christopher A. Mela, David P. Lemmer, Forrest Sheng Bao, Francis Papay, Tyler Hicks, Yang Liu:
Real-time dual-modal vein imaging system. Int. J. Comput. Assist. Radiol. Surg. 14(2): 203-213 (2019) - [j7]Dong Dai, Forrest Sheng Bao, Jiang Zhou, Xuanhua Shi, Yong Chen:
Vectorizing disks blocks for efficient storage system via deep learning. Parallel Comput. 82: 75-90 (2019) - [c28]Minghui Qiu, Bo Wang, Cen Chen, Xiaoyi Zeng, Jun Huang, Deng Cai, Jingren Zhou, Forrest Sheng Bao:
Cross-domain Attention Network with Wasserstein Regularizers for E-commerce Search. CIKM 2019: 2509-2515 - [c27]Youbiao He, Dong Dai, Forrest Sheng Bao:
Modeling HPC Storage Performance Using Long Short-Term Memory Networks. HPCC/SmartCity/DSS 2019: 1107-1114 - [c26]Cen Chen, Chilin Fu, Xu Hu, Xiaolu Zhang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Reinforcement Learning for User Intent Prediction in Customer Service Bots. SIGIR 2019: 1265-1268 - [c25]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Multi-Domain Gated CNN for Review Helpfulness Prediction. WWW 2019: 2630-2636 - [i9]Di Zhang, Dong Dai, Youbiao He, Forrest Sheng Bao:
RLScheduler: Learn to Schedule HPC Batch Jobs Using Deep Reinforcement Learning. CoRR abs/1910.08925 (2019) - 2018
- [j6]Forrest Sheng Bao, Chris E. Gutierrez, Jeriah Jn-Charles, Yaowei Yan, Yuanlin Zhang:
Accelerating Boolean Satisfiability (SAT) solving by common subclause elimination. Artif. Intell. Rev. 49(3): 439-453 (2018) - [c24]Cen Chen, Yinfei Yang, Jun Zhou, Xiaolong Li, Forrest Sheng Bao:
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators. NAACL-HLT (2) 2018: 602-607 - [i8]Cen Chen, Minghui Qiu, Yinfei Yang, Jun Zhou, Jun Huang, Xiaolong Li, Forrest Sheng Bao:
Review Helpfulness Prediction with Embedding-Gated CNN. CoRR abs/1808.09896 (2018) - 2017
- [j5]Arno Klein, Satrajit S. Ghosh, Forrest Sheng Bao, Joachim Giard, Yrjö Häme, Eliezer Stavsky, Noah Lee, Brian Rossa, Martin Reuter, Elias Chaibub Neto, Anisha Keshavan:
Mindboggling morphometry of human brains. PLoS Comput. Biol. 13(2) (2017) - [c23]Yinfei Yang, Cen Chen, Minghui Qiu, Forrest Sheng Bao:
Aspect Extraction from Product Reviews Using Category Hierarchy Information. EACL (2) 2017: 675-680 - [c22]Yinfei Yang, Forrest Sheng Bao, Ani Nenkova:
Detecting (Un)Important Content for Single-Document News Summarization. EACL (2) 2017: 707-712 - [i7]Yinfei Yang, Forrest Sheng Bao, Ani Nenkova:
Detecting (Un)Important Content for Single-Document News Summarization. CoRR abs/1702.07998 (2017) - 2016
- [j4]Duo Chen, Jiasong Wang, Ming Yan, Forrest Sheng Bao:
A Complex Prime Numerical Representation of Amino Acids for Protein Function Comparison. J. Comput. Biol. 23(8): 669-677 (2016) - [j3]Stephen Gang Wu, Yuxuan Wang, Wu Jiang, Tolutola Oyetunde, Ruilian Yao, Xuehong Zhang, Kazuyuki Shimizu, Yinjie J. Tang, Forrest Sheng Bao:
Rapid Prediction of Bacterial Heterotrophic Fluxomics Using Machine Learning and Constraint Programming. PLoS Comput. Biol. 12(4) (2016) - [c21]Duo Chen, Joseph James, Forrest Sheng Bao, Chen Ling, Tianzhe Fan:
Relationship Between Video Game Events and Player Emotion Based on EEG. HCI (3) 2016: 377-384 - [c20]Dong Dai, Forrest Sheng Bao, Jiang Zhou, Yong Chen:
Block2Vec: A Deep Learning Strategy on Mining Block Correlations in Storage Systems. ICPP Workshops 2016: 230-239 - [c19]Yinfei Yang, Cen Chen, Forrest Sheng Bao:
Aspect-Based Helpfulness Prediction for Online Product Reviews. ICTAI 2016: 836-843 - 2015
- [c18]Yaowei Yan, Chris E. Gutierrez, Jeriah Jn-Charles, Forrest Sheng Bao, Yuanlin Zhang:
Accelerating SAT Solving by Common Subclause Elimination. AAAI 2015: 4224-4225 - [c17]Yinfei Yang, Yaowei Yan, Minghui Qiu, Forrest Sheng Bao:
Semantic Analysis and Helpfulness Prediction of Text for Online Product Reviews. ACL (2) 2015: 38-44 - [c16]Duo Chen, Suiren Wan, Forrest Sheng Bao:
EEG-based seizure detection using discrete wavelet transform through full-level decomposition. BIBM 2015: 1596-1602 - [c15]Yaowei Yan, Nghi Huu Tran, Forrest Sheng Bao:
Gossiping along the Path: A Direction-Biased Routing Scheme for Wireless Ad Hoc Networks. GLOBECOM 2015: 1-6 - [c14]Duo Chen, Suiren Wan, Forrest Sheng Bao:
Epileptic focus localization using EEG based on discrete wavelet transform through full-level decomposition. MLSP 2015: 1-6 - 2014
- [c13]Forrest Sheng Bao, Wu-Jun Zhou, Wu Jiang, Chen Qian:
Coverage-based lossy node localization in wireless sensor networks using Chi-square test. WCNC 2014: 2886-2891 - 2012
- [j2]Forrest Sheng Bao, Yuanlin Zhang:
A Review of Tree Convex Sets Test. Comput. Intell. 28(3): 358-372 (2012) - [c12]Forrest Sheng Bao, Yuanlin Zhang:
Temporally Expressive Planning Based on Answer Set Programming with Constraints. AAAI 2012: 2413-2414 - [c11]Shiqi Zhang, Forrest Sheng Bao, Mohan Sridharan:
Combining Probabilistic Planning and Logic Programming on Mobile Robots. AAAI 2012: 2461-2462 - [c10]Forrest Sheng Bao, Joachim Giard, Jason A. Tourville, Arno Klein:
Automated extraction of nested sulcus features from human brain MRI data. EMBC 2012: 4429-4433 - [c9]Shiqi Zhang, Mohan Sridharan, Forrest Sheng Bao:
ASP+POMDP: Integrating non-monotonic logic programming and probabilistic planning on robots. ICDL-EPIROB 2012: 1-7 - 2011
- [j1]Forrest Sheng Bao, Xin Liu, Christina Zhang:
PyEEG: An Open Source Python Module for EEG/MEG Feature Extraction. Comput. Intell. Neurosci. 2011: 406391:1-406391:7 (2011) - [c8]Forrest Sheng Bao:
The AC(C) Language: Integrating Answer Set Programming and Constraint Logic Programming. AAAI 2011 - [c7]Forrest Sheng Bao, Zhizheng Zhang, Yuanlin Zhang:
Medical Treatment Conflict Resolving in Answer Set Programming. AAAI 2011: 1752-1753 - [c6]Forrest Sheng Bao, Sandeep Chintabathina, A. Ricardo Morales, Nelson Rushton, Richard Watson, Yuanlin Zhang:
A Temporally Expressive Planner Based on Answer Set Programming with Constraints: Preliminary Design. Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning 2011: 398-414 - 2010
- [c5]Forrest Sheng Bao, Zhixin Xie, Yuanlin Zhang:
Fast Phased Small RNA Cycle Counting Algorithms. BIBE 2010: 130-135 - [i6]Xin Liu, Ying Ding, Forrest Sheng Bao:
General Scaled Support Vector Machines. CoRR abs/1009.5268 (2010)
2000 – 2009
- 2009
- [i5]Forrest Sheng Bao, Jue-Ming Gao, Jing Hu, Donald Yu-Chun Lie, Yuanlin Zhang, K. J. Oommen:
Automated Epilepsy Diagnosis Using Interictal Scalp EEG. CoRR abs/0904.3808 (2009) - [i4]Yuanlin Zhang, Forrest Sheng Bao:
A Survey of Tree Convex Sets Test. CoRR abs/0906.0205 (2009) - 2008
- [c4]Lei Yuan, Forrest Sheng Bao, Guanming Lu:
Recognition of Neonatal Facial Expressions of Acute Pain Using Boosted Gabor Features. ICTAI (2) 2008: 473-476 - [c3]Forrest Sheng Bao, Donald Yu-Chun Lie, Yuanlin Zhang:
A New Approach to Automated Epileptic Diagnosis Using EEG and Probabilistic Neural Network. ICTAI (2) 2008: 482-486 - [i3]Forrest Sheng Bao, Yuanlin Zhang, Donald Yu-Chun Lie:
Recognition of Epileptic EEG Using Probabilistic Neural Network. CoRR abs/0804.3361 (2008) - 2007
- [c2]Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shun-Yi Zhang, Yan-Fei Sun:
A Novel Model of Working Set Selection for SMO Decomposition Methods. ICTAI (2) 2007: 283-290 - [c1]Yuxuan Wang, Forrest Sheng Bao:
An Entropy-Based Weighted Clustering Algorithm and Its Optimization for Ad Hoc Networks. WiMob 2007: 56 - [i2]Zhendong Zhao, Lei Yuan, Yuxuan Wang, Forrest Sheng Bao, Shunyi Zhang Yanfei Sun:
A Novel Model of Working Set Selection for SMO Decomposition Methods. CoRR abs/0706.0585 (2007) - [i1]Stephen Gang Wu, Forrest Sheng Bao, Eric You Xu, Yuxuan Wang, Yi-Fan Chang, Qiao-Liang Xiang:
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network. CoRR abs/0707.4289 (2007)
Coauthor Index
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last updated on 2024-06-25 21:00 CEST by the dblp team
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