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Linyi Yang
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2020 – today
- 2023
- [i15]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR abs/2302.12095 (2023) - 2022
- [c10]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-Task Financial Forecasting. AAAI 2022: 11604-11612 - [c9]Jinghui Lu
, Linyi Yang, Brian MacNamee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. ACL (1) 2022: 6986-6996 - [c8]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang:
Human-in-the-loop Robotic Grasping Using BERT Scene Representation. COLING 2022: 2992-3006 - [c7]Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang:
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. COLING 2022: 5360-5371 - [i14]Linyi Yang, Jiazheng Li, Ruihai Dong, Yue Zhang, Barry Smyth:
NumHTML: Numeric-Oriented Hierarchical Transformer Model for Multi-task Financial Forecasting. CoRR abs/2201.01770 (2022) - [i13]Jinghui Lu, Linyi Yang, Brian Mac Namee, Yue Zhang:
A Rationale-Centric Framework for Human-in-the-loop Machine Learning. CoRR abs/2203.12918 (2022) - [i12]Yun Luo, Hongjie Cai, Linyi Yang, Yanxia Qin, Rui Xia, Yue Zhang:
Challenges for Open-domain Targeted Sentiment Analysis. CoRR abs/2204.06893 (2022) - [i11]Linyi Yang, Zhen Wang, Yuxiang Wu, Jie Yang, Yue Zhang:
Towards Fine-grained Causal Reasoning and QA. CoRR abs/2204.07408 (2022) - [i10]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i9]Linyi Yang, Lifan Yuan, Leyang Cui, Wenyang Gao, Yue Zhang:
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition. CoRR abs/2208.11464 (2022) - [i8]Yile Wang, Linyi Yang, Zhiyang Teng, Ming Zhou, Yue Zhang:
Pre-Training a Graph Recurrent Network for Language Representation. CoRR abs/2209.03834 (2022) - [i7]Yaoxian Song, Penglei Sun, Pengfei Fang, Linyi Yang, Yanghua Xiao, Yue Zhang:
Human-in-the-loop Robotic Grasping using BERT Scene Representation. CoRR abs/2209.14026 (2022) - [i6]Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang:
GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective. CoRR abs/2211.08073 (2022) - [i5]Chenyang Lyu, Linyi Yang, Yue Zhang, Yvette Graham, Jennifer Foster:
Exploiting Rich Textual User-Product Context for Improving Sentiment Analysis. CoRR abs/2212.08888 (2022) - 2021
- [c6]Linyi Yang, Jiazheng Li
, Padraig Cunningham
, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. ACL/IJCNLP (1) 2021: 306-316 - [i4]Linyi Yang, Tin Lok James Ng, Barry Smyth, Ruihai Dong:
Fact Check: Analyzing Financial Events from Multilingual News Sources. CoRR abs/2106.15221 (2021) - [i3]Linyi Yang, Jiazheng Li, Pádraig Cunningham, Yue Zhang, Barry Smyth, Ruihai Dong:
Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. CoRR abs/2106.15231 (2021) - 2020
- [c5]Jiazheng Li
, Linyi Yang, Barry Smyth, Ruihai Dong:
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction. CIKM 2020: 3063-3070 - [c4]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. COLING 2020: 6150-6160 - [c3]Linyi Yang, Tin Lok James Ng
, Barry Smyth, Ruihai Dong:
HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction. WWW 2020: 441-451 - [i2]Linyi Yang, Eoin M. Kenny, Tin Lok James Ng, Yi Yang, Barry Smyth, Ruihai Dong:
Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification. CoRR abs/2010.12512 (2020)
2010 – 2019
- 2019
- [i1]Linyi Yang, Zheng Zhang, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. CoRR abs/1902.04994 (2019) - 2018
- [c2]Linyi Yang, Zheng Zhang
, Su Xiong, Lirui Wei, James Ng, Lina Xu, Ruihai Dong:
Explainable Text-Driven Neural Network for Stock Prediction. CCIS 2018: 441-445 - 2017
- [c1]Linyi Yang, Tin Lok James Ng, Catherine Mooney, Ruihai Dong:
Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction. AICS 2017: 206-218
Coauthor Index

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last updated on 2023-03-14 15:46 CET by the dblp team
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