Aston Zhang

According to our database, Aston Zhang authored at least 70 papers between 2014 and 2024.

Collaborative distances:

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

2024

PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions.

Eleonora Grassucci, Aston Zhang, Danilo Comminiello

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Multimodal Chain-of-Thought Reasoning in Language Models.

Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola

Trans. Mach. Learn. Res., 2024

Law of the Weakest Link: Cross Capabilities of Large Language Models.

Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten

CoRR, 2024

Caution for the Environment: Multimodal Agents are Susceptible to Environmental Distractions.

Xinbei Ma, Yiting Wang, Yao Yao, Tongxin Yuan, Aston Zhang, Zhuosheng Zhang, Hai Zhao

CoRR, 2024

The Llama 3 Herd of Models.

Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, Anirudh Goyal, Anthony Hartshorn, Aobo Yang, Archi Mitra, Archie Sravankumar, Artem Korenev, Arthur Hinsvark, Arun Rao, Aston Zhang, Aurélien Rodriguez, Austen Gregerson, Ava Spataru, Baptiste Rozière, Bethany Biron, Binh Tang, Bobbie Chern, Charlotte Caucheteux, Chaya Nayak, Chloe Bi, Chris Marra, Chris McConnell, Christian Keller, Christophe Touret, Chunyang Wu, Corinne Wong, Cristian Canton Ferrer, Cyrus Nikolaidis, Damien Allonsius, Daniel Song, Danielle Pintz, Danny Livshits, David Esiobu, Dhruv Choudhary, Dhruv Mahajan, Diego Garcia-Olano, Diego Perino, Dieuwke Hupkes, Egor Lakomkin, Ehab AlBadawy, Elina Lobanova, Emily Dinan, Eric Michael Smith, Filip Radenovic, Frank Zhang, Gabriel Synnaeve, Gabrielle Lee, Georgia Lewis Anderson, Graeme Nail, Grégoire Mialon, Guan Pang, Guillem Cucurell, Hailey Nguyen, Hannah Korevaar, Hu Xu, Hugo Touvron, Iliyan Zarov, Imanol Arrieta Ibarra, Isabel M. Kloumann, Ishan Misra, Ivan Evtimov, Jade Copet, Jaewon Lee, Jan Geffert, Jana Vranes, Jason Park, Jay Mahadeokar, Jeet Shah, Jelmer van der Linde, Jennifer Billock, Jenny Hong, Jenya Lee, Jeremy Fu, Jianfeng Chi, Jianyu Huang, Jiawen Liu, Jie Wang, Jiecao Yu, Joanna Bitton, Joe Spisak, Jongsoo Park, Joseph Rocca, Joshua Johnstun, Joshua Saxe, Junteng Jia, Kalyan Vasuden Alwala, Kartikeya Upasani, Kate Plawiak, Ke Li, Kenneth Heafield, Kevin Stone, et al.

CoRR, 2024

In-Context Learning with Iterative Demonstration Selection.

Chengwei Qin, Aston Zhang, Chen Chen, Anirudh Dagar, Wenming Ye

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

You Only Look at Screens: Multimodal Chain-of-Action Agents.

Zhuosheng Zhang, Aston Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents.

Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao

CoRR, 2023

In-Context Learning with Iterative Demonstration Selection.

Chengwei Qin, Aston Zhang, Anirudh Dagar, Wenming Ye

CoRR, 2023

MixGen: A New Multi-Modal Data Augmentation.

Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens.

Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition.

Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AIM: Adapting Image Models for Efficient Video Action Recognition.

Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning Multimodal Data Augmentation in Feature Space.

Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Parameter-Efficient Fine-Tuning Design Spaces.

Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Automatic Chain of Thought Prompting in Large Language Models.

Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Is ChatGPT a General-Purpose Natural Language Processing Task Solver?

Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang

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

A Cheaper and Better Diffusion Language Model with Soft-Masked Noise.

Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang

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

Automated Few-Shot Classification with Instruction-Finetuned Language Models.

Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson

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

2022

Text Style Transfer: A Review and Experimental Evaluation.

Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang

SIGKDD Explor., 2022

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher

IEEE Trans. Pattern Anal. Mach. Intell., 2022

SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning.

M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li

CoRR, 2022

SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing.

Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr

CoRR, 2022

Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork.

Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang

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

Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition.

Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

Removing Batch Normalization Boosts Adversarial Training.

Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

Proceedings of the International Conference on Machine Learning, 2022

2021

Lightweight Convolutional Neural Networks By Hypercomplex Parameterization.

Eleonora Grassucci, Aston Zhang, Danilo Comminiello

CoRR, 2021

Dive into Deep Learning.

Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola

CoRR, 2021

Controllable and Diverse Text Generation in E-commerce.

Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning User Representations with Hypercuboids for Recommender Systems.

Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou

Proceedings of the WSDM '21, 2021

Self-Instantiated Recurrent Units with Dynamic Soft Recursion.

Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang

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

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators.

Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li

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

A Unified Lottery Ticket Hypothesis for Graph Neural Networks.

Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang

Proceedings of the 38th International Conference on Machine Learning, 2021

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters.

Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu

Proceedings of the 9th International Conference on Learning Representations, 2021

CoCon: A Self-Supervised Approach for Controlled Text Generation.

Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu

Proceedings of the 9th International Conference on Learning Representations, 2021

On Orthogonality Constraints for Transformers.

Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu

J. Mach. Learn. Res., 2020

ControlVAE: Tuning, Analytical Properties, and Performance Analysis.

Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher

CoRR, 2020

Controllable Variational Autoencoder.

Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher

CoRR, 2020

Transformer on a Diet.

Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola

CoRR, 2020

paper2repo: GitHub Repository Recommendation for Academic Papers.

Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

ControlVAE: Controllable Variational Autoencoder.

Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher

Proceedings of the 37th International Conference on Machine Learning, 2020

Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder.

Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang

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

2019

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing.

Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng

CoRR, 2019

Compositional De-Attention Networks.

Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Quaternion Collaborative Filtering for Recommendation.

Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Dive into Deep Learning for Natural Language Processing.

Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings.

Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks.

Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives.

Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework.

Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings.

Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han

CoRR, 2018

Deep Learning for the Internet of Things.

Shuochao Yao, Yiran Zhao, Aston Zhang, Shaohan Hu, Huajie Shao, Chao Zhang, Lu Su, Tarek F. Abdelzaher

Computer, 2018

ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications.

Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

2017

Analyzing intentions from big data traces of human activities

Aston Zhang

PhD thesis, 2017

RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations.

Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, Tarek F. Abdelzaher

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.

Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek F. Abdelzaher

CoRR, 2017

Email Category Prediction.

Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing.

Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher

Proceedings of the 26th International Conference on World Wide Web, 2017

DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework.

Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek F. Abdelzaher

Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems, 2017

2016

Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach.

Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng

Proceedings of the 25th International Conference on World Wide Web, 2016

Free for All! Assessing User Data Exposure to Advertising Libraries on Android.

Soteris Demetriou, Whitney Merrill, Wei Yang, Aston Zhang, Carl A. Gunter

Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

Accelerated Stochastic Block Coordinate Descent with Optimal Sampling.

Aston Zhang, Quanquan Gu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Exploiting temporal divergence of topic distributions for event detection.

Rongda Zhu, Aston Zhang, Jian Peng, Chengxiang Zhai

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information.

Hao Fu, Aston Zhang, Xing Xie

ACM Trans. Intell. Syst. Technol., 2015

adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback.

Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Predicting Search Intent Based on Pre-Search Context.

Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Discovering de facto diagnosis specialties.

Xun Lu, Aston Zhang, Carl A. Gunter, Daniel Fabbri, David M. Liebovitz, Bradley A. Malin

Proceedings of the 6th ACM Conference on Bioinformatics, 2015

2014

De-anonymizing social graphs via node similarity.

Hao Fu, Aston Zhang, Xing Xie

Proceedings of the 23rd International World Wide Web Conference, 2014

Privacy Risk in Anonymized Heterogeneous Information Networks.

Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang

Proceedings of the 17th International Conference on Extending Database Technology, 2014