Shaoliang Nie

According to our database, Shaoliang Nie authored at least 25 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AK-GPSR: An Adaptive K-Medoids-Based Greedy Perimeter Stateless Routing Algorithm for Multi-Channel Vehicular Network Communication.

Wanneng Shu, Shaoliang Nie, FengJun Hu

IEEE Trans. Intell. Transp. Syst., November, 2024

An Improved and Efficient Computational Offloading Method Based on ADMM Strategy in Cloud-Edge Collaborative Computing Environment for Resilient Industry 5.0.

Wanneng Shu, Shaoliang Nie, Wencheng Jian, Xin Ge

IEEE Trans. Consumer Electron., February, 2024

The Perfect Blend: Redefining RLHF with Mixture of Judges.

Tengyu Xu, Eryk Helenowski, Karthik Abinav Sankararaman, Di Jin, Kaiyan Peng, Eric Han, Shaoliang Nie, Chen Zhu, Hejia Zhang, Wenxuan Zhou, Zhouhao Zeng, Yun He, Karishma Mandyam, Arya Talabzadeh, Madian Khabsa, Gabriel Cohen, Yuandong Tian, Hao Ma, Sinong Wang, Han Fang

CoRR, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

CoRR, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

On the Equivalence of Graph Convolution and Mixup.

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

CoRR, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.

Nan Wang, Qifan Wang, Yi-Chia Wang, Maziar Sanjabi, Jingzhou Liu, Hamed Firooz, Hongning Wang, Shaoliang Nie

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Generating Hashtags for Short-form Videos with Guided Signals.

Tiezheng Yu, Hanchao Yu, Davis Liang, Yuning Mao, Shaoliang Nie, Po-Yao Huang, Madian Khabsa, Pascale Fung, Yi-Chia Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-text Rationales.

Brihi Joshi, Ziyi Liu, Sahana Ramnath, Aaron Chan, Zhewei Tong, Shaoliang Nie, Qifan Wang, Yejin Choi, Xiang Ren

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.

Aaron Chan, Shaoliang Nie, Liang Tan, Xiaochang Peng, Hamed Firooz, Maziar Sanjabi, Xiang Ren

CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.

Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

CoRR, 2022

BARACK: Partially Supervised Group Robustness With Guarantees.

Nimit Sharad Sohoni, Maziar Sanjabi, Nicolas Ballas, Aditya Grover, Shaoliang Nie, Hamed Firooz, Christopher Ré

CoRR, 2022

AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning.

Tao Yang, Jinghao Deng, Xiaojun Quan, Qifan Wang, Shaoliang Nie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction.

Aaron Chan, Maziar Sanjabi, Lambert Mathias, Liang Tan, Shaoliang Nie, Xiaochang Peng, Xiang Ren, Hamed Firooz

Proceedings of the International Conference on Machine Learning, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.

Brihi Joshi, Aaron Chan, Ziyi Liu, Shaoliang Nie, Maziar Sanjabi, Hamed Firooz, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.

Khalil Mrini, Shaoliang Nie, Jiatao Gu, Sinong Wang, Maziar Sanjabi, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Modality-specific Distillation.

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

CoRR, 2021

Visual Analytics of Text Conversation Sentiment and Semantics.

Christopher G. Healey, Gowtham Dinakaran, Kalpesh Padia, Shaoliang Nie, J. Riley Benson, Dave Caira, Dean Shaw, Gary Catalfu, Ravi Devarajan

Comput. Graph. Forum, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.

Woojeong Jin, Maziar Sanjabi, Shaoliang Nie, Liang Tan, Xiang Ren, Hamed Firooz

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

Rapid Sequence Matching for Visualization Recommender Systems.

Shaoliang Nie, Christopher G. Healey, Rada Y. Chirkova, Juan L. Reutter

Proceedings of the 45th Graphics Interface Conference 2019, 2019

Feature Selection for Facebook Feed Ranking System via a Group-Sparsity-Regularized Training Algorithm.

Xiuyan Ni, Yang Yu, Peng Wu, Youlin Li, Shaoliang Nie, Qichao Que, Chao Chen

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

High Resolution Face Completion with Multiple Controllable Attributes via Fully End-to-End Progressive Generative Adversarial Networks.

Zeyuan Chen, Shaoliang Nie, Tianfu Wu, Christopher G. Healey

CoRR, 2018

Visualizing Deep Neural Networks for Text Analytics.

Shaoliang Nie, Christopher G. Healey, Kalpesh Padia, Samuel P. Leeman-Munk, Jordan Benson, Dave Caira, Saratendu Sethi, Ravi Devarajan

Proceedings of the IEEE Pacific Visualization Symposium, 2018