Sinong Wang

According to our database, Sinong Wang authored at least 48 papers between 2013 and 2024.

Collaborative distances:

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

2024

Phonetic and Lexical Discovery of a Canine Language using HuBERT.

Xingyuan Li, Sinong Wang, Zeyu Xie, Mengyue Wu, Kenny Q. Zhu

CoRR, 2024

SPAR: Personalized Content-Based Recommendation via Long Engagement Attention.

Chiyu Zhang, Yifei Sun, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Sinong Wang, Rong Jin, Sem Park, Ning Yao, Bo Long

CoRR, 2024

2023

Effective Long-Context Scaling of Foundation Models.

Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma

CoRR, 2023

LM-Infinite: Simple On-the-Fly Length Generalization for Large Language Models.

Chi Han, Qifan Wang, Wenhan Xiong, Yu Chen, Heng Ji, Sinong Wang

CoRR, 2023

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes.

Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott

CoRR, 2023

Representation Deficiency in Masked Language Modeling.

Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer

CoRR, 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

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix.

Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.

Ajinkya Tejankar, Maziar Sanjabi, Qifan Wang, Sinong Wang, Hamed Firooz, Hamed Pirsiavash, Liang Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler.

Yifang Chen, Karthik Abinav Sankararaman, Alessandro Lazaric, Matteo Pirotta, Dmytro Karamshuk, Qifan Wang, Karishma Mandyam, Sinong Wang, Han Fang

CoRR, 2022

BayesFormer: Transformer with Uncertainty Estimation.

Karthik Abinav Sankararaman, Sinong Wang, Han Fang

CoRR, 2022

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models.

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

IDPG: An Instance-Dependent Prompt Generation Method.

Zhuofeng Wu, Sinong Wang, Jiatao Gu, Rui Hou, Yuxiao Dong, V. G. Vinod Vydiswaran, Hao Ma

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.

Qifan Wang, Li Yang, Jingang Wang, Jitin Krishnan, Bo Dai, Sinong Wang, Zenglin Xu, Madian Khabsa, Hao Ma

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

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.

Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 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

Reducing Target Group Bias in Hate Speech Detectors.

Darsh J. Shah, Sinong Wang, Han Fang, Hao Ma, Luke Zettlemoyer

CoRR, 2021

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models.

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

CoRR, 2021

Entailment as Few-Shot Learner.

Sinong Wang, Han Fang, Madian Khabsa, Hanzi Mao, Hao Ma

CoRR, 2021

Luna: Linear Unified Nested Attention.

Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

On Unifying Misinformation Detection.

Nayeon Lee, Belinda Z. Li, Sinong Wang, Pascale Fung, Hao Ma, Wen-tau Yih, Madian Khabsa

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On the Influence of Masking Policies in Intermediate Pre-training.

Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Studying Strategically: Learning to Mask for Closed-book QA.

Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa

CoRR, 2020

CLEAR: Contrastive Learning for Sentence Representation.

Zhuofeng Wu, Sinong Wang, Jiatao Gu, Madian Khabsa, Fei Sun, Hao Ma

CoRR, 2020

To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks.

Sinong Wang, Madian Khabsa, Hao Ma

CoRR, 2020

Linformer: Self-Attention with Linear Complexity.

Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma

CoRR, 2020

Language Models as Fact Checkers?

Nayeon Lee, Belinda Z. Li, Sinong Wang, Wen-tau Yih, Hao Ma, Madian Khabsa

CoRR, 2020

Blockwise Self-Attention for Long Document Understanding.

Jiezhong Qiu, Hao Ma, Omer Levy, Wen-tau Yih, Sinong Wang, Jie Tang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks.

Sinong Wang, Madian Khabsa, Hao Ma

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Fundamental Limits of Approximate Gradient Coding.

Sinong Wang, Jiashang Liu, Ness B. Shroff

Proc. ACM Meas. Anal. Comput. Syst., 2019

Computation Efficient Coded Linear Transform.

Sinong Wang, Jiashang Liu, Ness B. Shroff, Pengyu Yang

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Fundamental Limits of Coded Linear Transform.

Sinong Wang, Jiashang Liu, Ness B. Shroff, Pengyu Yang

CoRR, 2018

UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits.

Fang Liu, Sinong Wang, Swapna Buccapatnam, Ness B. Shroff

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Coded Sparse Matrix Multiplication.

Sinong Wang, Jiashang Liu, Ness B. Shroff

Proceedings of the 35th International Conference on Machine Learning, 2018

A Near-Optimal Control Policy in Cloud Systems with Renewable Sources and Time-Dependent Energy Price.

Jiashang Liu, Joohyun Lee, Ness B. Shroff, Prasun Sinha, Sinong Wang

Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017

Towards Fast-Convergence, Low-Delay and Low-Complexity Network Optimization.

Sinong Wang, Ness B. Shroff

Proc. ACM Meas. Anal. Comput. Syst., 2017

Security Game with Non-additive Utilities and Multiple Attacker Resources.

Sinong Wang, Ness B. Shroff

Proc. ACM Meas. Anal. Comput. Syst., 2017

A New Alternating Direction Method for Linear Programming.

Sinong Wang, Ness B. Shroff

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Non-Additive Security Games.

Sinong Wang, Fang Liu, Ness B. Shroff

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Non-additive Security Game.

Sinong Wang, Fang Liu, Ness B. Shroff

CoRR, 2016

2015

Fundamental Limits of Heterogenous Cache.

Sinong Wang, Wenxin Li, Xiaohua Tian, Hui Liu

CoRR, 2015

The Performance Analysis of Coded Cache in Wireless Fading Channel.

Wei Huang, Sinong Wang, Lianghui Ding, Feng Yang, Wenjun Zhang

CoRR, 2015

Exploiting the unexploited of coded caching for wireless content distribution.

Sinong Wang, Xiaohua Tian, Hui Liu

Proceedings of the International Conference on Computing, Networking and Communications, 2015

2014

Exploiting the Unexploited of Coded Caching for Wireless Content Distribution: Detailed Theoretical Proofs.

Sinong Wang, Xiaohua Tian, Hui Liu

CoRR, 2014

A predictive methodology for truthful double spectrum auctions in cognitive radio networks.

Zhe Liu, Sinong Wang, Weijie Wu, Xiaohua Tian, Changle Li, Xinbing Wang

Proceedings of the IEEE Global Communications Conference, 2014

2013

A New Approach to Multi-objective Virtual Machine Placement in Virtualized Data Center.

Sinong Wang, Huaxi Gu, Gang Wu

Proceedings of the IEEE Eighth International Conference on Networking, 2013