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Sheng Zhang

University of Southern California

Locally Aggregated Feature Attribution on Natural Language Model Understanding


Apr 26, 2022
Sheng Zhang, Jin Wang, Haitao Jiang, Rui Song

* NAACL 2022 

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Machine learning predictions for local electronic properties of disordered correlated electron systems


Apr 12, 2022
Yi-Hsuan Liu, Sheng Zhang, Puhan Zhang, Ting-Kuo Lee, Gia-Wei Chern

* 12 pages, 6 figures 

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Zero-Shot Dependency Parsing with Worst-Case Aware Automated Curriculum Learning


Mar 16, 2022
Miryam de Lhoneux, Sheng Zhang, Anders Søgaard

* ACL 2022 

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FairLex: A Multilingual Benchmark for Evaluating Fairness in Legal Text Processing


Mar 14, 2022
Ilias Chalkidis, Tommaso Pasini, Sheng Zhang, Letizia Tomada, Sebastian Felix Schwemer, Anders Søgaard

* 9 pages, long paper at ACL 2022 proceedings 

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Rule Mining over Knowledge Graphs via Reinforcement Learning


Feb 21, 2022
Lihan Chen, Sihang Jiang, Jingping Liu, Chao Wang, Sheng Zhang, Chenhao Xie, Jiaqing Liang, Yanghua Xiao, Rui Song

* KNOSYS_108371, 2022 
* Knowledge-Based Systems 

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Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems


Jan 05, 2022
Puhan Zhang, Sheng Zhang, Gia-Wei Chern

* 25 pages, 12 figures 

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Knowledge-Rich Self-Supervised Entity Linking


Dec 15, 2021
Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon


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DVHN: A Deep Hashing Framework for Large-scale Vehicle Re-identification


Dec 09, 2021
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Chenggang Wu, Kaicheng Guo, Zhengwei Qi


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A Review on Graph Neural Network Methods in Financial Applications


Nov 27, 2021
Jianian Wang, Sheng Zhang, Yanghua Xiao, Rui Song


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Finding the Winning Ticket of BERT for Binary Text Classification via Adaptive Layer Truncation before Fine-tuning


Nov 22, 2021
Jing Fan, Xin Zhang, Sheng Zhang


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Modular Self-Supervision for Document-Level Relation Extraction


Sep 11, 2021
Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon

* EMNLP 2021 

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Real-time Keypoints Detection for Autonomous Recovery of the Unmanned Ground Vehicle


Jul 27, 2021
Jie Li, Sheng Zhang, Kai Han, Xia Yuan, Chunxia Zhao, Yu Liu

* IET Image Processing, code: https://github.com/waterljwant/UGV-KPNet 

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Pattern Transfer Learning for Reinforcement Learning in Order Dispatching


Jun 18, 2021
Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song

* Spotlight paper, RL4ITS, IJCAI-21 

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DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning


Jun 11, 2021
Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

* Accepted by ICML 2021 

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Anomalous phase separation and hidden coarsening of super-clusters in the Falicov-Kimball model


May 27, 2021
Sheng Zhang, Puhan Zhang, Gia-Wei Chern

* 6 pages, 5 figures 

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TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval


May 05, 2021
Yongbiao Chen, Sheng Zhang, Fangxin Liu, Zhigang Chang, Mang Ye, Zhengwei Qi


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Joint Universal Syntactic and Semantic Parsing


Apr 12, 2021
Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme

* To appear: TACL 2021 

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L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation


Feb 11, 2021
Jiahao Xie, Sheng Zhang, Jianwei Lu, Ye Luo


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Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning


Oct 19, 2020
Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao

* EMNLP 2020 

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Worst-Case-Aware Curriculum Learning for Zero and Few Shot Transfer


Sep 23, 2020
Sheng Zhang, Xin Zhang, Weiming Zhang, Anders Søgaard


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DeepFaceLab: A simple, flexible and extensible face swapping framework


May 20, 2020
Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr. Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, Weiming Zhang


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Error Model of Radio Fingerprint and PDR Fusion Indoor Localization


Jan 05, 2020
Haojun Ai, Kaifeng Tang, Sheng Zhang, Yuhong Yang


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Transductive Parsing for Universal Decompositional Semantics


Oct 23, 2019
Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme


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The Universal Decompositional Semantics Dataset and Decomp Toolkit


Sep 30, 2019
Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme


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Broad-Coverage Semantic Parsing as Transduction


Sep 05, 2019
Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme

* Accepted at EMNLP 2019 

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Robust subsampling-based sparse Bayesian inference to tackle four challenges (large noise, outliers, data integration, and extrapolation) in the discovery of physical laws from data


Jul 23, 2019
Sheng Zhang, Guang Lin


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