Aston Zhang

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 88

Top Topics

Text Generation

Top Venues

Publications

Zhuosheng Zhang, Aston Zhang
You Only Look at Screens: Multimodal Chain-of-Action Agents. ACL (Findings) (2024)
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.
The Llama 3 Herd of Models. CoRR (2024)
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
Multimodal Chain-of-Thought Reasoning in Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Eleonora Grassucci, Aston Zhang, Danilo Comminiello
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. NeurIPS (2023)
Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. CoRR (2023)
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. CoRR (2023)
Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. CoRR (2023)
Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) (2023)
Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR (2023)
Zhuosheng Zhang, Aston Zhang
You Only Look at Screens: Multimodal Chain-of-Action Agents. CoRR (2023)
Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. EMNLP (2023)
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
Multimodal Chain-of-Thought Reasoning in Language Models. CoRR (2023)
Chengwei Qin, Aston Zhang, Anirudh Dagar, Wenming Ye
In-Context Learning with Iterative Demonstration Selection. CoRR (2023)
Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
AIM: Adapting Image Models for Efficient Video Action Recognition. CoRR (2023)
Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
Parameter-Efficient Fine-Tuning Design Spaces. CoRR (2023)
Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
AIM: Adapting Image Models for Efficient Video Action Recognition. ICLR (2023)
Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
Automatic Chain of Thought Prompting in Large Language Models. ICLR (2023)
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. NeurIPS (2023)
Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
Learning Multimodal Data Augmentation in Feature Space. ICLR (2023)
Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
Parameter-Efficient Fine-Tuning Design Spaces. ICLR (2023)
Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
MixGen: A New Multi-Modal Data Augmentation. WACV (Workshops) (2023)
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? CoRR (2023)
Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao
Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents. CoRR (2023)
Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? EMNLP (2023)
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
Removing Batch Normalization Boosts Adversarial Training. ICML (2022)
Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. CoRR (2022)
Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR (2022)
M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li
SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning. CoRR (2022)
Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang
Text Style Transfer: A Review and Experimental Evaluation. SIGKDD Explor. 24 (1) (2022)
Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
Learning Multimodal Data Augmentation in Feature Space. CoRR (2022)
Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML (2022)
Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR (2022)
Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS (2022)
Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
Removing Batch Normalization Boosts Adversarial Training. CoRR (2022)
Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
MixGen: A New Multi-Modal Data Augmentation. CoRR (2022)
Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
Automatic Chain of Thought Prompting in Large Language Models. CoRR (2022)
Eleonora Grassucci, Aston Zhang, Danilo Comminiello
Lightweight Convolutional Neural Networks By Hypercomplex Parameterization. CoRR (2021)
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. CoRR (2021)
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
Controllable and Diverse Text Generation in E-commerce. CoRR (2021)
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR (2021)
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. ICLR (2021)
Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang
Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS (2021)
Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee
On Orthogonality Constraints for Transformers. ACL/IJCNLP (2) (2021)
Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML (2021)
Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
Controllable and Diverse Text Generation in E-commerce. WWW (2021)
Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR (2021)
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
Learning User Representations with Hypercuboids for Recommender Systems. WSDM (2021)
Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
Dive into Deep Learning. CoRR (2021)
Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. NeurIPS (2021)
Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR (2020)
Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
Learning User Representations with Hypercuboids for Recommender Systems. CoRR (2020)
Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher
paper2repo: GitHub Repository Recommendation for Academic Papers. WWW (2020)
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
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21 (2020)
Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) (2020)
Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. CoRR (2020)
Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher
ControlVAE: Controllable Variational Autoencoder. ICML (2020)
Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
CoCon: A Self-Supervised Approach for Controlled Text Generation. CoRR (2020)
Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
Transformer on a Diet. CoRR (2020)
Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher
Controllable Variational Autoencoder. CoRR (2020)
Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher
paper2repo: GitHub Repository Recommendation for Academic Papers. CoRR (2020)
Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR (2019)
Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) (2019)
Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData (2019)
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
Quaternion Collaborative Filtering for Recommendation. CoRR (2019)
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
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR (2019)
Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR (2019)
Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
Quaternion Collaborative Filtering for Recommendation. IJCAI (2019)
Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. ACL (1) (2019)
Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui
Compositional De-Attention Networks. NeurIPS (2019)
Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola
Dive into Deep Learning for Natural Language Processing. EMNLP/IJCNLP (2) (2019)
Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. CoRR (2019)
Shuochao Yao, Yiran Zhao, Aston Zhang, Shaohan Hu, Huajie Shao, Chao Zhang, Lu Su, Tarek F. Abdelzaher
Deep Learning for the Internet of Things. Computer 51 (5) (2018)
Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher
SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2 (3) (2018)
Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher
ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications. ICDCS (2018)
Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR (2018)
Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek F. Abdelzaher
Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework. CoRR (2017)
Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. WWW (2017)
Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, Tarek F. Abdelzaher
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. CoRR (2017)
Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder
Email Category Prediction. WWW (Companion Volume) (2017)
Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, Tarek F. Abdelzaher
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (4) (2017)
Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek F. Abdelzaher
DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework. SenSys (2017)
Soteris Demetriou, Whitney Merrill, Wei Yang, Aston Zhang, Carl A. Gunter
Free for All! Assessing User Data Exposure to Advertising Libraries on Android. NDSS (2016)
Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng
Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW (2016)
Aston Zhang, Quanquan Gu
Accelerated Stochastic Block Coordinate Descent with Optimal Sampling. KDD (2016)
Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. CoRR (2016)
Rongda Zhu, Aston Zhang, Jian Peng, Chengxiang Zhai
Exploiting temporal divergence of topic distributions for event detection. IEEE BigData (2016)
Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han
adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR (2015)
Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan
Predicting Search Intent Based on Pre-Search Context. SIGIR (2015)
Hao Fu, Aston Zhang, Xing Xie
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information. ACM Trans. Intell. Syst. Technol. 6 (4) (2015)
Xun Lu, Aston Zhang, Carl A. Gunter, Daniel Fabbri, David M. Liebovitz, Bradley A. Malin
Discovering de facto diagnosis specialties. BCB (2015)
Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang
Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT (2014)
Hao Fu, Aston Zhang, Xing Xie
De-anonymizing social graphs via node similarity. WWW (Companion Volume) (2014)