Shaoliang Nie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Information Extraction

Sequence Matching

Regularization Methods

Top Venues

EMNLP (Findings)

Publications

Wanneng Shu, Shaoliang Nie, Wencheng Jian, Xin Ge
An Improved and Efficient Computational Offloading Method Based on ADMM Strategy in Cloud-Edge Collaborative Computing Environment for Resilient Industry 5.0. IEEE Trans. Consumer Electron. 70 (1) (2024)
Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) (2023)
Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP (2023)
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales. ACL (1) (2023)
Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. EMNLP (2023)
Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang
Generating Hashtags for Short-form Videos with Guided Signals. ACL (1) (2023)
Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales. CoRR (2023)
Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu
On the Equivalence of Graph Convolution and Mixup. CoRR (2023)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models. CoRR (2022)
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
UNIREX: A Unified Learning Framework for Language Model Rationale Extraction. ICML (2022)
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. ACL (Findings) (2022)
Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. CoRR (2022)
Nan Wang, Shaoliang Nie, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang
COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation. CoRR (2022)
Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré
BARACK: Partially Supervised Group Robustness With Guarantees. CoRR (2022)
Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales. CoRR (2022)
Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz
Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem. CoRR (2022)
Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie
AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning. NeurIPS (2022)
Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren
ER-Test: Evaluating Explanation Regularization Methods for Language Models. EMNLP (Findings) (2022)
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
Modality-specific Distillation. CoRR (2021)
Christopher G. Healey, Gowtham Dinakaran, Kalpesh Padia, Shaoliang Nie, J. Riley Benson, Dave Caira, Dean Shaw, Gary Catalfu, Ravi Devarajan
Visual Analytics of Text Conversation Sentiment and Semantics. Comput. Graph. Forum 40 (6) (2021)
Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz
MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding. EMNLP (Findings) (2021)
Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz
UniREx: A Unified Learning Framework for Language Model Rationale Extraction. CoRR (2021)
Shaoliang Nie, Christopher G. Healey, Rada Y. Chirkova, Juan L. Reutter
Rapid Sequence Matching for Visualization Recommender Systems. Graphics Interface (2019)
Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen
Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm. CIKM (2019)
Shaoliang Nie, Christopher G. Healey, Kalpesh Padia, Samuel P. Leeman-Munk, Jordan Benson, Dave Caira, Saratendu Sethi, Ravi Devarajan
Visualizing Deep Neural Networks for Text Analytics. PacificVis (2018)
Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey
High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks. CoRR (2018)