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2020 – today
- 2024
[j9]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)- [j8]Eleonora Grassucci
, Aston Zhang, Danilo Comminiello:
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8293-8305 (2024) - [c45]Zhuosheng Zhang, Aston Zhang:
You Only Look at Screens: Multimodal Chain-of-Action Agents. ACL (Findings) 2024: 3132-3149 - [c44]Chengwei Qin, Aston Zhang, Chen Chen, Anirudh Dagar, Wenming Ye:
In-Context Learning with Iterative Demonstration Selection. EMNLP (Findings) 2024: 7441-7455 - [i43]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 abs/2407.21783 (2024) - [i42]Xinbei Ma, Yiting Wang, Yao Yao, Tongxin Yuan, Aston Zhang, Zhuosheng Zhang, Hai Zhao:
Caution for the Environment: Multimodal Agents are Susceptible to Environmental Distractions. CoRR abs/2408.02544 (2024) - [i41]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:
Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR abs/2409.19951 (2024) - 2023
- [c43]Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang:
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? EMNLP 2023: 1339-1384 - [c42]Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson:
Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) 2023: 2414-2432 - [c41]Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang:
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. EMNLP 2023: 4765-4775 - [c40]Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola:
Automatic Chain of Thought Prompting in Large Language Models. ICLR 2023 - [c39]Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang:
Parameter-Efficient Fine-Tuning Design Spaces. ICLR 2023 - [c38]Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson:
Learning Multimodal Data Augmentation in Feature Space. ICLR 2023 - [c37]Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li:
AIM: Adapting Image Models for Efficient Video Action Recognition. ICLR 2023 - [c36]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 - [c35]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 - [c34]Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li:
MixGen: A New Multi-Modal Data Augmentation. WACV (Workshops) 2023: 379-389 - [i40]Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang:
Parameter-Efficient Fine-Tuning Design Spaces. CoRR abs/2301.01821 (2023) - [i39]Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola:
Multimodal Chain-of-Thought Reasoning in Language Models. CoRR abs/2302.00923 (2023) - [i38]Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li:
AIM: Adapting Image Models for Efficient Video Action Recognition. CoRR abs/2302.03024 (2023) - [i37]Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang:
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? CoRR abs/2302.06476 (2023) - [i36]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 abs/2304.04704 (2023) - [i35]Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang:
A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. CoRR abs/2304.04746 (2023) - [i34]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 abs/2305.04241 (2023) - [i33]Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson:
Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR abs/2305.12576 (2023) - [i32]Zhuosheng Zhang, Aston Zhang:
You Only Look at Screens: Multimodal Chain-of-Action Agents. CoRR abs/2309.11436 (2023) - [i31]Chengwei Qin, Aston Zhang, Anirudh Dagar, Wenming Ye:
In-Context Learning with Iterative Demonstration Selection. CoRR abs/2310.09881 (2023) - [i30]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 abs/2311.11797 (2023) - 2022
- [j7]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): 9285-9297 (2022) - [j6]Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang:
Text Style Transfer: A Review and Experimental Evaluation. SIGKDD Explor. 24(1): 14-45 (2022) - [c33]Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. ICML 2022: 23433-23445 - [c32]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: 23446-23458 - [c31]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 - [i29]Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li:
MixGen: A New Multi-Modal Data Augmentation. CoRR abs/2206.08358 (2022) - [i28]Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang:
Removing Batch Normalization Boosts Adversarial Training. CoRR abs/2207.01156 (2022) - [i27]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 abs/2207.01160 (2022) - [i26]Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola:
Automatic Chain of Thought Prompting in Large Language Models. CoRR abs/2210.03493 (2022) - [i25]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 abs/2210.06428 (2022) - [i24]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 abs/2212.05191 (2022) - [i23]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 abs/2212.10929 (2022) - [i22]Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson:
Learning Multimodal Data Augmentation in Feature Space. CoRR abs/2212.14453 (2022) - 2021
- [c30]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: 375-382 - [c29]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR 2021 - [c28]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 - [c27]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML 2021: 1695-1706 - [c26]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: 2965-2977 - [c25]Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang:
Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS 2021: 6503-6514 - [c24]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: 716-724 - [c23]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: 2392-2401 - [i21]Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang:
A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR abs/2102.06790 (2021) - [i20]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 abs/2102.08597 (2021) - [i19]Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher:
Controllable and Diverse Text Generation in E-commerce. CoRR abs/2102.11497 (2021) - [i18]Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola:
Dive into Deep Learning. CoRR abs/2106.11342 (2021) - [i17]Eleonora Grassucci, Aston Zhang, Danilo Comminiello:
Lightweight Convolutional Neural Networks By Hypercomplex Parameterization. CoRR abs/2110.04176 (2021) - 2020
- [j5]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: 23:1-23:7 (2020) - [c22]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) 2020: 4175-4189 - [c21]Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher:
ControlVAE: Controllable Variational Autoencoder. ICML 2020: 8655-8664 - [c20]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: 629-639 - [i16]Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola:
Transformer on a Diet. CoRR abs/2002.06170 (2020) - [i15]Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher:
Controllable Variational Autoencoder. CoRR abs/2004.05988 (2020) - [i14]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 abs/2004.06059 (2020) - [i13]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. CoRR abs/2006.03535 (2020) - [i12]Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang:
Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. CoRR abs/2010.02684 (2020) - [i11]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR abs/2011.01754 (2020) - [i10]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 abs/2011.05742 (2020)
2010 – 2019
- 2019
- [c19]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: 1494-1503 - [c18]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: 4922-4931 - [c17]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData 2019: 64-73 - [c16]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 - [c15]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. IJCAI 2019: 4313-4319 - [c14]Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui:
Compositional De-Attention Networks. NeurIPS 2019: 6132-6142 - [i9]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 abs/1905.10847 (2019) - [i8]Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay:
Quaternion Collaborative Filtering for Recommendation. CoRR abs/1906.02594 (2019) - [i7]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 abs/1906.04393 (2019) - [i6]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 abs/1907.04433 (2019) - [i5]Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han:
Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR abs/1908.07832 (2019) - 2018
- [j4]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): 32-41 (2018) - [j3]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): 144:1-144:21 (2018) - [c13]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: 334-343 - [i4]Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han:
Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR abs/1803.03370 (2018) - 2017
- [b1]Aston Zhang:
Analyzing intentions from big data traces of human activities. University of Illinois Urbana-Champaign, USA, 2017 - [j2]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): 173:1-173:26 (2017) - [c12]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: 4:1-4:14 - [c11]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: 351-360 - [c10]Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder:
Email Category Prediction. WWW (Companion Volume) 2017: 495-503 - [i3]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 abs/1706.01215 (2017) - [i2]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 abs/1709.02980 (2017) - 2016
- [c9]Rongda Zhu, Aston Zhang, Jian Peng, Chengxiang Zhai:
Exploiting temporal divergence of topic distributions for event detection. IEEE BigData 2016: 164-171 - [c8]Aston Zhang, Quanquan Gu:
Accelerated Stochastic Block Coordinate Descent with Optimal Sampling. KDD 2016: 2035-2044 - [c7]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 - [c6]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: 579-590 - [i1]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 abs/1611.01942 (2016) - 2015
- [j1]Hao Fu, Aston Zhang, Xing Xie:
Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information. ACM Trans. Intell. Syst. Technol. 6(4): 49:1-49:29 (2015) - [c5]Xun Lu, Aston Zhang, Carl A. Gunter, Daniel Fabbri, David M. Liebovitz, Bradley A. Malin:
Discovering de facto diagnosis specialties. BCB 2015: 7-16 - [c4]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: 143-152 - [c3]Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan:
Predicting Search Intent Based on Pre-Search Context. SIGIR 2015: 503-512 - 2014
- [c2]Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, XiaoFeng Wang:
Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT 2014: 595-606 - [c1]Hao Fu, Aston Zhang, Xing Xie:
De-anonymizing social graphs via node similarity. WWW (Companion Volume) 2014: 263-264
Coauthor Index
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