Aston Zhang - RankMe

107 papers A* 28A 2B 1Misc 1Journal 56Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Systematic Examination of Preference Learning through the Lens of Instruction-Following. NAACL (Long Papers) Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
2025	—	`conf`	Caution for the Environment: Multimodal LLM Agents are Susceptible to Environmental Distractions. ACL (1) Xinbei Ma, Yiting Wang, Yao Yao, Tongxin Yuan, Aston Zhang, Zhuosheng Zhang, Hai Zhao
2025	J	`jnl`	Igniting Language Intelligence: The Hitchhiker's Guide from Chain-of-Thought Reasoning to Language Agents. ACM Comput. Surv. Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao
2025	A*	`conf`	Law of the Weakest Link: Cross Capabilities of Large Language Models. ICLR 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
2025	J	`jnl`	Let's (not) just put things in Context: Test-Time Training for Long-Context LLMs. CoRR Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Devvrit Khatri, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Sanjay Kale, Samy Jelassi
2025	—	`conf`	OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. ACL (Findings) Pengzhou Cheng, Zheng Wu, Zongru Wu, Tianjie Ju, Aston Zhang, Zhuosheng Zhang, Gongshen Liu
2025	J	`jnl`	OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. CoRR Pengzhou Cheng, Zheng Wu, Zongru Wu, Aston Zhang, Zhuosheng Zhang, Gongshen Liu
2025	—	`conf`	Self-Generated Critiques Boost Reward Modeling for Language Models. NAACL (Long Papers) Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024	J	`jnl`	A Systematic Examination of Preference Learning through the Lens of Instruction-Following. CoRR Joongwon Kim, Anirudh Goyal, Aston Zhang, Bo Xiong, Rui Hou, Melanie Kambadur, Dhruv Mahajan, Hannaneh Hajishirzi, Liang Tan
2024	J	`jnl`	Caution for the Environment: Multimodal Agents are Susceptible to Environmental Distractions. CoRR Xinbei Ma, Yiting Wang, Yao Yao, Tongxin Yuan, Aston Zhang, Zhuosheng Zhang, Hai Zhao
2024	—	`conf`	In-Context Learning with Iterative Demonstration Selection. EMNLP (Findings) Chengwei Qin, Aston Zhang, Chen Chen, Anirudh Dagar, Wenming Ye
2024	J	`jnl`	Law of the Weakest Link: Cross Capabilities of Large Language Models. CoRR 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
2024	J	`jnl`	Multimodal Chain-of-Thought Reasoning in Language Models. Trans. Mach. Learn. Res. Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
2024	J	`jnl`	PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions. IEEE Trans. Neural Networks Learn. Syst. Eleonora Grassucci, Aston Zhang, Danilo Comminiello
2024	J	`jnl`	Self-Generated Critiques Boost Reward Modeling for Language Models. CoRR Yue Yu, Zhengxing Chen, Aston Zhang, Liang Tan, Chenguang Zhu, Richard Yuanzhe Pang, Yundi Qian, Xuewei Wang, Suchin Gururangan, Chao Zhang, Melanie Kambadur, Dhruv Mahajan, Rui Hou
2024	—	`conf`	You Only Look at Screens: Multimodal Chain-of-Action Agents. ACL (Findings) Zhuosheng Zhang, Aston Zhang
2023	A*	`conf`	A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. EMNLP Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
2023	J	`jnl`	A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. CoRR Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
2023	A*	`conf`	AIM: Adapting Image Models for Efficient Video Action Recognition. ICLR Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
2023	J	`jnl`	AIM: Adapting Image Models for Efficient Video Action Recognition. CoRR Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
2023	—	`conf`	Automated Few-Shot Classification with Instruction-Finetuned Language Models. EMNLP (Findings) Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
2023	J	`jnl`	Automated Few-shot Classification with Instruction-Finetuned Language Models. CoRR Rami Aly, Xingjian Shi, Kaixiang Lin, Aston Zhang, Andrew Gordon Wilson
2023	A*	`conf`	Automatic Chain of Thought Prompting in Large Language Models. ICLR Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
2023	J	`jnl`	Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents. CoRR Zhuosheng Zhang, Yao Yao, Aston Zhang, Xiangru Tang, Xinbei Ma, Zhiwei He, Yiming Wang, Mark Gerstein, Rui Wang, Gongshen Liu, Hai Zhao
2023	J	`jnl`	In-Context Learning with Iterative Demonstration Selection. CoRR Chengwei Qin, Aston Zhang, Anirudh Dagar, Wenming Ye
2023	A*	`conf`	Is ChatGPT a General-Purpose Natural Language Processing Task Solver? EMNLP Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang
2023	J	`jnl`	Is ChatGPT a General-Purpose Natural Language Processing Task Solver? CoRR Chengwei Qin, Aston Zhang, Zhuosheng Zhang, Jiaao Chen, Michihiro Yasunaga, Diyi Yang
2023	A*	`conf`	Learning Multimodal Data Augmentation in Feature Space. ICLR Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2023	—	`conf`	MixGen: A New Multi-Modal Data Augmentation. WACV (Workshops) Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
2023	J	`jnl`	Multimodal Chain-of-Thought Reasoning in Language Models. CoRR Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
2023	A*	`conf`	Parameter-Efficient Fine-Tuning Design Spaces. ICLR Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
2023	J	`jnl`	Parameter-Efficient Fine-Tuning Design Spaces. CoRR Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
2023	A*	`conf`	Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. NeurIPS Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander J. Smola, Xu Sun
2023	J	`jnl`	Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. CoRR Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun
2023	A*	`conf`	VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. NeurIPS Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
2023	J	`jnl`	Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. CoRR Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
2023	J	`jnl`	You Only Look at Screens: Multimodal Chain-of-Action Agents. CoRR Zhuosheng Zhang, Aston Zhang
2022	J	`jnl`	Automatic Chain of Thought Prompting in Large Language Models. CoRR Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
2022	J	`jnl`	ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
2022	J	`jnl`	Learning Multimodal Data Augmentation in Feature Space. CoRR Zichang Liu, Zhiqiang Tang, Xingjian Shi, Aston Zhang, Mu Li, Anshumali Shrivastava, Andrew Gordon Wilson
2022	J	`jnl`	MixGen: A New Multi-Modal Data Augmentation. CoRR Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li
2022	A*	`conf`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. ICML Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex J. Smola, Zhangyang Wang
2022	J	`jnl`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang
2022	A*	`conf`	Removing Batch Normalization Boosts Adversarial Training. ICML Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
2022	J	`jnl`	Removing Batch Normalization Boosts Adversarial Training. CoRR Haotao Wang, Aston Zhang, Shuai Zheng, Xingjian Shi, Mu Li, Zhangyang Wang
2022	J	`jnl`	SMILE: Scaling Mixture-of-Experts with Efficient Bi-level Routing. CoRR Chaoyang He, Shuai Zheng, Aston Zhang, George Karypis, Trishul Chilimbi, Mahdi Soltanolkotabi, Salman Avestimehr
2022	J	`jnl`	SPT: Semi-Parametric Prompt Tuning for Multitask Prompted Learning. CoRR M. Saiful Bari, Aston Zhang, Shuai Zheng, Xingjian Shi, Yi Zhu, Shafiq Joty, Mu Li
2022	J	`jnl`	Text Style Transfer: A Review and Experimental Evaluation. SIGKDD Explor. Zhiqiang Hu, Roy Ka-Wei Lee, Charu C. Aggarwal, Aston Zhang
2022	A*	`conf`	Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
2022	J	`jnl`	Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. CoRR Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang
2021	A*	`conf`	A Unified Lottery Ticket Hypothesis for Graph Neural Networks. ICML Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021	J	`jnl`	A Unified Lottery Ticket Hypothesis for Graph Neural Networks. CoRR Tianlong Chen, Yongduo Sui, Xuxi Chen, Aston Zhang, Zhangyang Wang
2021	A*	`conf`	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. ICLR Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
2021	J	`jnl`	Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n Parameters. CoRR Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Cheung Hui, Jie Fu
2021	A*	`conf`	CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
2021	A*	`conf`	Controllable and Diverse Text Generation in E-commerce. WWW Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
2021	J	`jnl`	Controllable and Diverse Text Generation in E-commerce. CoRR Huajie Shao, Jun Wang, Haohong Lin, Xuezhou Zhang, Aston Zhang, Heng Ji, Tarek F. Abdelzaher
2021	J	`jnl`	Dive into Deep Learning. CoRR Aston Zhang, Zachary C. Lipton, Mu Li, Alexander J. Smola
2021	A*	`conf`	G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators. NeurIPS Yunhui Long, Boxin Wang, Zhuolin Yang, Bhavya Kailkhura, Aston Zhang, Carl A. Gunter, Bo Li
2021	A	`conf`	Learning User Representations with Hypercuboids for Recommender Systems. WSDM Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
2021	J	`jnl`	Lightweight Convolutional Neural Networks By Hypercomplex Parameterization. CoRR Eleonora Grassucci, Aston Zhang, Danilo Comminiello
2021	—	`conf`	On Orthogonality Constraints for Transformers. ACL/IJCNLP (2) Aston Zhang, Alvin Chan, Yi Tay, Jie Fu, Shuohang Wang, Shuai Zhang, Huajie Shao, Shuochao Yao, Roy Ka-Wei Lee
2021	A*	`conf`	Self-Instantiated Recurrent Units with Dynamic Soft Recursion. NeurIPS Aston Zhang, Yi Tay, Yikang Shen, Alvin Chan, Shuai Zhang
2020	J	`jnl`	CoCon: A Self-Supervised Approach for Controlled Text Generation. CoRR Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu
2020	A*	`conf`	ControlVAE: Controllable Variational Autoencoder. ICML Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher
2020	J	`jnl`	ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher
2020	J	`jnl`	Controllable Variational Autoencoder. CoRR Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher
2020	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 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
2020	J	`jnl`	Learning User Representations with Hypercuboids for Recommender Systems. CoRR Shuai Zhang, Huoyu Liu, Aston Zhang, Yue Hu, Ce Zhang, Yumeng Li, Tanchao Zhu, Shaojian He, Wenwu Ou
2020	—	`conf`	Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. EMNLP (Findings) Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
2020	J	`jnl`	Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder. CoRR Alvin Chan, Yi Tay, Yew-Soon Ong, Aston Zhang
2020	J	`jnl`	Transformer on a Diet. CoRR Chenguang Wang, Zihao Ye, Aston Zhang, Zheng Zhang, Alexander J. Smola
2020	A*	`conf`	paper2repo: GitHub Repository Recommendation for Academic Papers. WWW Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher
2020	J	`jnl`	paper2repo: GitHub Repository Recommendation for Academic Papers. CoRR Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher
2019	A*	`conf`	Compositional De-Attention Networks. NeurIPS Yi Tay, Anh Tuan Luu, Aston Zhang, Shuohang Wang, Siu Cheung Hui
2019	—	`conf`	Dive into Deep Learning for Natural Language Processing. EMNLP/IJCNLP (2) Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola
2019	J	`jnl`	GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR 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
2019	—	`conf`	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. ACL (1) Yi Tay, Aston Zhang, Anh Tuan Luu, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
2019	J	`jnl`	Lightweight and Efficient Neural Natural Language Processing with Quaternion Networks. CoRR Yi Tay, Aston Zhang, Luu Anh Tuan, Jinfeng Rao, Shuai Zhang, Shuohang Wang, Jie Fu, Siu Cheung Hui
2019	—	`conf`	Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. IEEE BigData Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han
2019	J	`jnl`	Parsimonious Morpheme Segmentation with an Application to Enriching Word Embeddings. CoRR Ahmed El-Kishky, Frank F. Xu, Aston Zhang, Jiawei Han
2019	A*	`conf`	Quaternion Collaborative Filtering for Recommendation. IJCAI Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
2019	J	`jnl`	Quaternion Collaborative Filtering for Recommendation. CoRR Shuai Zhang, Lina Yao, Lucas Vinh Tran, Aston Zhang, Yi Tay
2019	—	`conf`	Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. ACL (1) Yi Tay, Shuohang Wang, Anh Tuan Luu, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
2019	J	`jnl`	Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives. CoRR Yi Tay, Shuohang Wang, Luu Anh Tuan, Jie Fu, Minh C. Phan, Xingdi Yuan, Jinfeng Rao, Siu Cheung Hui, Aston Zhang
2018	A	`conf`	ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications. ICDCS Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher
2018	J	`jnl`	Deep Learning for the Internet of Things. Computer Shuochao Yao, Yiran Zhao, Aston Zhang, Shaohan Hu, Huajie Shao, Chao Zhang, Lu Su, Tarek F. Abdelzaher
2018	J	`jnl`	Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
2018	J	`jnl`	SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher
2017	—	`—`	Analyzing intentions from big data traces of human activities Aston Zhang
2017	J	`jnl`	Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework. CoRR Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek F. Abdelzaher
2017	Misc	`conf`	DeepIoT: Compressing Deep Neural Network Structures for Sensing Systems with a Compressor-Critic Framework. SenSys Shuochao Yao, Yiran Zhao, Aston Zhang, Lu Su, Tarek F. Abdelzaher
2017	A*	`conf`	DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. WWW Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher
2017	—	`conf`	Email Category Prediction. WWW (Companion Volume) Aston Zhang, Lluis Garcia Pueyo, James B. Wendt, Marc Najork, Andrei Z. Broder
2017	J	`jnl`	RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. CoRR Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, Tarek F. Abdelzaher
2017	J	`jnl`	RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shuochao Yao, Yiran Zhao, Huajie Shao, Aston Zhang, Chao Zhang, Shen Li, Tarek F. Abdelzaher
2016	A*	`conf`	Accelerated Stochastic Block Coordinate Descent with Optimal Sampling. KDD Aston Zhang, Quanquan Gu
2016	J	`jnl`	DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing. CoRR Shuochao Yao, Shaohan Hu, Yiran Zhao, Aston Zhang, Tarek F. Abdelzaher
2016	—	`conf`	Exploiting temporal divergence of topic distributions for event detection. IEEE BigData Rongda Zhu, Aston Zhang, Jian Peng, ChengXiang Zhai
2016	A*	`conf`	Free for All! Assessing User Data Exposure to Advertising Libraries on Android. NDSS Soteris Demetriou, Whitney Merrill, Wei Yang, Aston Zhang, Carl A. Gunter
2016	A*	`conf`	Towards Mobile Query Auto-Completion: An Efficient Mobile Application-Aware Approach. WWW Aston Zhang, Amit Goyal, Ricardo Baeza-Yates, Yi Chang, Jiawei Han, Carl A. Gunter, Hongbo Deng
2015	—	`conf`	Discovering de facto diagnosis specialties. BCB Xun Lu, Aston Zhang, Carl A. Gunter, Daniel Fabbri, David M. Liebovitz, Bradley A. Malin
2015	J	`jnl`	Effective Social Graph Deanonymization Based on Graph Structure and Descriptive Information. ACM Trans. Intell. Syst. Technol. Hao Fu, Aston Zhang, Xing Xie
2015	A*	`conf`	Predicting Search Intent Based on Pre-Search Context. SIGIR Weize Kong, Rui Li, Jie Luo, Aston Zhang, Yi Chang, James Allan
2015	A*	`conf`	adaQAC: Adaptive Query Auto-Completion via Implicit Negative Feedback. SIGIR Aston Zhang, Amit Goyal, Weize Kong, Hongbo Deng, Anlei Dong, Yi Chang, Carl A. Gunter, Jiawei Han
2014	—	`conf`	De-anonymizing social graphs via node similarity. WWW (Companion Volume) Hao Fu, Aston Zhang, Xing Xie
2014	B	`conf`	Privacy Risk in Anonymized Heterogeneous Information Networks. EDBT Aston Zhang, Xing Xie, Kevin Chen-Chuan Chang, Carl A. Gunter, Jiawei Han, Xiaofeng Wang