Chang Liu

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 48

Top Venues

CoRR

IEEE Symposium on Security and Privacy

IACR Cryptol. ePrint Arch.

CCS

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR (2024)
Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen
Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. ISCA (2024)
Chang Liu, Xiaohui Xie, Xinggong Zhang, Yong Cui
Large Language Models for Networking: Workflow, Advances and Challenges. CoRR (2024)
Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
GMTR: Graph Matching Transformers. ICASSP (2024)
Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR (2020)
Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM (2020)
David Darais, Ian Sweet, Chang Liu, Michael Hicks
A language for probabilistically oblivious computation. Proc. ACM Program. Lang. 4 (POPL) (2020)
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR (2019)
Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin
Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. J. Cryptol. 32 (3) (2019)
Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He
Attentive Tensor Product Learning. AAAI (2019)
Xinyun Chen, Chang Liu, Dawn Song
Execution-Guided Neural Program Synthesis. ICLR (Poster) (2019)
Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks. USENIX Security Symposium (2019)
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW (2019)
Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR (2018)
Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song
Curriculum Adversarial Training. CoRR (2018)
Xinyun Chen, Chang Liu, Dawn Song
Tree-to-tree Neural Networks for Program Translation. CoRR (2018)
Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy (2018)
Xinyun Chen, Chang Liu, Dawn Song
Towards Synthesizing Complex Programs From Input-Output Examples. ICLR (Poster) (2018)
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. IEEE Symposium on Security and Privacy (2018)
Xinyun Chen, Chang Liu, Dawn Song
Tree-to-tree Neural Networks for Program Translation. ICLR (Workshop) (2018)
Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. CoRR (2018)
Wei Song, Heng Yin, Chang Liu, Dawn Song
DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis. CCS (2018)
Xinyun Chen, Chang Liu, Dawn Song
Tree-to-tree Neural Networks for Program Translation. NeurIPS (2018)
Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR (2018)
Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He
Attentive Tensor Product Learning for Language Generation and Grammar Parsing. CoRR (2018)
Qi-Zhi Cai, Chang Liu, Dawn Song
Curriculum Adversarial Training. IJCAI (2018)
Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. CoRR (2018)
Xinyun Chen, Chang Liu, Dawn Song
Learning Neural Programs To Parse Programs. CoRR (2017)
David Darais, Chang Liu, Ian Sweet, Michael Hicks
A Language for Probabilistically Oblivious Computation. CoRR (2017)
Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song
Delving into Transferable Adversarial Examples and Black-box Attacks. ICLR (Poster) (2017)
Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CCS (2017)
Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CoRR (2017)
Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song
Can you fool AI with adversarial examples on a visual Turing test? CoRR (2017)
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
Robust Linear Regression Against Training Data Poisoning. AISec@CCS (2017)
Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. CoRR (2017)
Xiaojun Xu, Chang Liu, Dawn Song
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning. CoRR (2017)
Xinyun Chen, Chang Liu, Eui Chul Richard Shin, Dawn Song, Mingcheng Chen
Latent Attention For If-Then Program Synthesis. CoRR (2016)
Xiaojing Liao, Chang Liu, Damon McCoy, Elaine Shi, Shuang Hao, Raheem A. Beyah
Characterizing Long-tail SEO Spam on Cloud Web Hosting Services. WWW (2016)
Zhangquan Zhou, Guilin Qi, Chang Liu, Raghava Mutharaju, Pascal Hitzler
Reasoning with Large Scale OWL 2 EL Ontologies Based on MapReduce. APWeb (2) (2016)
Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song
Latent Attention For If-Then Program Synthesis. NIPS (2016)
Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song
Delving into Transferable Adversarial Examples and Black-box Attacks. CoRR (2016)
Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
Robust High-Dimensional Linear Regression. CoRR (2016)
Chang Liu, Austin Harris, Martin Maas, Michael W. Hicks, Mohit Tiwari, Elaine Shi
GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation. ASPLOS (2015)
Xiao Shaun Wang, Chang Liu, Kartik Nayak, Yan Huang, Elaine Shi
iDASH Secure Genome Analysis Competition Using ObliVM. IACR Cryptol. ePrint Arch. 2015 (2015)
Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin
Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. ASIACRYPT (1) (2015)
Chang Liu, Xiao Shaun Wang, Kartik Nayak, Yan Huang, Elaine Shi
ObliVM: A Programming Framework for Secure Computation. IEEE Symposium on Security and Privacy (2015)
Chang Liu
Trace oblivious computation. SPLASH (Companion Volume) (2015)
Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin
Oblivious Network RAM. IACR Cryptol. ePrint Arch. 2015 (2015)
Xiao Shaun Wang, Kartik Nayak, Chang Liu, T.-H. Hubert Chan, Elaine Shi, Emil Stefanov, Yan Huang
Oblivious Data Structures. CCS (2014)
Chang Liu, Jacopo Urbani, Guilin Qi
Efficient RDF stream reasoning with graphics processingunits (GPUs). WWW (Companion Volume) (2014)
Chang Liu, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Zhenyu Guo, Thomas Moscibroda
Automating Distributed Partial Aggregation. SoCC (2014)
Xiao Wang, Kartik Nayak, Chang Liu, Elaine Shi, Emil Stefanov, Yan Huang
Oblivious Data Structures. IACR Cryptol. ePrint Arch. 2014 (2014)
Chang Liu, Yan Huang, Elaine Shi, Jonathan Katz, Michael W. Hicks
Automating Efficient RAM-Model Secure Computation. IEEE Symposium on Security and Privacy (2014)
Chang Liu, Michael Hicks, Elaine Shi
Memory Trace Oblivious Program Execution. CSF (2013)
Chang Liu, Brendan C. Fruin, Hanan Samet
SAC: semantic adaptive caching for spatial mobile applications. SIGSPATIAL/GIS (2013)
Chang Liu, Guilin Qi
Toward Scalable Reasoning over Annotated RDF Data Using MapReduce. RR (2012)
Chang Liu, Guilin Qi, Haofen Wang, Yong Yu
Reasoning with Large Scale Ontologies in Fuzzy pD* Using MapReduce. IEEE Comput. Intell. Mag. 7 (2) (2012)
Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. OSDI (2012)
Chang Liu, Guilin Qi, Yong Yu
Large Scale Temporal RDFS Reasoning Using MapReduce. AAAI (2012)
Zhangquan Zhou, Guilin Qi, Chang Liu, Pascal Hitzler, Raghava Mutharaju
Reasoning with Fuzzy-EL+ Ontologies Using MapReduce. ECAI (2012)
Chang Liu, Jun Qu, Guilin Qi, Haofen Wang, Yong Yu
HadoopSPARQL: A Hadoop-Based Engine for Multiple SPARQL Query Answering. ESWC (Satellite Events) (2012)
Haofen Wang, Thanh Tran, Chang Liu, Linyun Fu
Lightweight integration of IR and DB for scalable hybrid search with integrated ranking support. J. Web Semant. 9 (4) (2011)
Chang Liu, Guilin Qi, Haofen Wang, Yong Yu
Fuzzy Reasoning over RDF Data Using OWL Vocabulary. Web Intelligence (2011)
Chang Liu, Guilin Qi, Haofen Wang, Yong Yu
Large Scale Fuzzy pD * Reasoning Using MapReduce. ISWC (1) (2011)
Haofen Wang, Thanh Tran, Chang Liu
CE2: towards a large scale hybrid search engine with integrated ranking support. CIKM (2008)

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Publication Activity (10 Years)

Top Topics

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Chang Liu