Zhang, Aston

21 publications

ICLR 2026 Let's (not) Just Put Things in Context: Test-Time Training for Long-Context LLMs Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Fnu Devvrit, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Kale, Samy Jelassi

ICLR 2025 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

TMLR 2024 Multimodal Chain-of-Thought Reasoning in Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola

ICLR 2023 AIM: Adapting Image Models for Efficient Video Action Recognition Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li

ICLR 2023 Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola

ICLR 2023 Learning Multimodal Data Augmentation in Feature Space Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson

ICLR 2023 Parameter-Efficient Fine-Tuning Design Spaces Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang

NeurIPS 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

NeurIPS 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

ICML 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

ICML 2022 Removing Batch Normalization Boosts Adversarial Training Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang

NeurIPS 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

ICML 2021 A Unified Lottery Ticket Hypothesis for Graph Neural Networks Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang

ICLR 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 Hui, Jie Fu

ICLR 2021 CoCon: A Self-Supervised Approach for Controlled Text Generation Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu

NeurIPS 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 Gunter, Bo Li

NeurIPS 2021 Self-Instantiated Recurrent Units with Dynamic Soft Recursion Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang

ICML 2020 ControlVAE: Controllable Variational Autoencoder Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek Abdelzaher

JMLR 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

NeurIPS 2019 Compositional De-Attention Networks Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui

IJCAI 2019 Quaternion Collaborative Filtering for Recommendation Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay