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ORCIDChang Liu 0021
Person information
- affiliation: University of California, Berkeley, Department of EECS, CA, USA
- affiliation (PhD 2016): University of Maryland, College Park, MD, USA
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001
![[0000-0002-3914-754X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3914-754X")
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more) - Chang Liu 0002 — Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China (and 2 more)
- Chang Liu 0003 — La Trobe University, Melbourne, Australia (and 3 more)
- Chang Liu 0004 — Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
- Chang Liu 0005 — Chengdu University, College of Information Science and Technology, Chengdu, China
- Chang Liu 0006 — Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China (and 2 more)
- Chang Liu 0007 — Peking University, Department of Information Management, Beijing, China (and 1 more)
- Chang Liu 0008 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Chang Liu 0009 — Beihang University, School of Astronautics, Beijing, China
- Chang Liu 0010 — University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany
- Chang Liu 0011 — Harbin Institute of Technology, Department of Computer Science, China
- Chang Liu 0012 — Dongguan University of Technology, School of Electronic Engineering, China
- Chang Liu 0013 — Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
- Chang Liu 0014 — North China Electric Power University, Department of Electric Engineering, Baoding, China
- Chang Liu 0015 — University of Melbourne, Australia
- Chang Liu 0016 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Chang Liu 0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Chang Liu 0018 — Jianghan University, Department of Logistics and Information Management, China
- Chang Liu 0019 — National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
- Chang Liu 0020 — Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- Chang Liu 0022 — Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Chang Liu 0023 — Huazhong University of Science and Technology, Wuhan, China
- Chang Liu 0024 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Chang Liu 0025 — Beijing Institute of Spacecraft Environment Engineering, China
- Chang Liu 0026 — Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028 — Ohio University, Athens, OH, USA (and 1 more)
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0030 — Microsoft Research AI4Science, Beijing, China (and 2 more)
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033 — University of Massachusetts Lowell, MA, USA
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Chang Liu 0037 — Nanchang Hangkong University, School of Information Technology, Nanchang, China
- Chang Liu 0038 — Ben-Gurion University of the Negev, Beer Sheva, Israel
- Chang Liu 0039 — Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
- Chang Liu 0040 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Chang Liu 0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
- Chang Liu 0042 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0043 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Chang Liu 0044 — Tianjin University, School of Microelectronics, Tianjin, China
- Chang Liu 0045 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Chang Liu 0046 — Wuhan University, School of Computer Science, Wuhan, China
- Chang Liu 0047 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chang Liu 0050 — University of Southampton, Faculty of Engineering and the Environment, UK
- Chang Liu 0051 — East China Normal University, Software Engineering Institute, Shanghai, China
- Chang Liu 0052 — University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
- Chang Liu 0053 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Chang Liu 0054 — Taishan University, Taishan University, Taian, China
- Chang Liu 0055 — Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
- Chang Liu 0056 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
- Chang Liu 0057 — Guangdong Ocean University, Institute of Electronics and Information Engineering, China (and 1 more)
- Chang Liu 0058 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Chang Liu 0059 — University of Edinburgh, School of Engineering, UK (and 2 more)
- Chang Liu 0060 — South China University of Technology, School of Automation Science and Engineering, Guangdong, China
- Chang Liu 0061 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Chang Liu 0062 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chang Liu 0063 — Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
- Chang Liu 0064 — Jilin University, Software Institute, Changchun, China
- Chang Liu 0065 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Chang Liu 0066 — Shenyang University, Department of Applied Technology, China
- Chang Liu 0067 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chang Liu 0068 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070 — Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
- Chang Liu 0071 — NVIDIA, Beijing, China (and 2 more)
- Chang Liu 0072 — Nanyang Technological University (NTU), Singapore
- Chang Liu 0073 — University of Jena, Germany
- Chang Liu 0074 — Polytechnic University of Milan, Italy
- Chang Liu 0075 — University of California, Berkeley, USA
- Chang Liu 0076 — Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
- Chang Liu 0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
- Chang Liu 0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Chang Liu 0079 — Shanghai Jiao Tong University, Coop. Medianet Innovation Center, China
- Chang Liu 0080 — New Jersey Institute of Technology, Institute for Space Weather Sciences, Newark, NJ, USA
- Chang Liu 0081 — Kyoto University, Department of Real World Data R&D, Japan (and 1 more)
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Books and Theses
- 2016
[b1]Chang Liu:
Trace Oblivious Program Execution. University of Maryland, College Park, MD, USA, 2016
Journal Articles
- 2024
- [j10]Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan:
Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 25: 33:1-33:7 (2024) - 2023
- [j9]Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan:
A survey for solving mixed integer programming via machine learning. Neurocomputing 519: 205-217 (2023) - [j8]Menghao Zhang, Guanyu Li, Xiao Kong, Chang Liu, Mingwei Xu, Guofei Gu, Jianping Wu:
NetHCF: Filtering Spoofed IP Traffic With Programmable Switches. IEEE Trans. Dependable Secur. Comput. 20(2): 1641-1655 (2023) - [j7]Shicheng Wang, Menghao Zhang, Guanyu Li, Chang Liu, Zhiliang Wang, Ying Liu, Mingwei Xu:
Bolt: Scalable and Cost-Efficient Multistring Pattern Matching With Programmable Switches. IEEE/ACM Trans. Netw. 31(2): 846-861 (2023) - 2022
- [j6]Chang Liu, Xishan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zidong Du, Shaoli Liu, Tianshi Chen:
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training. IEEE Trans. Image Process. 31: 7006-7019 (2022) - 2021
- [j5]Guanyu Li, Menghao Zhang, Shicheng Wang, Chang Liu, Mingwei Xu, Ang Chen, Hongxin Hu, Guofei Gu, Qi Li, Jianping Wu:
Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches. IEEE/ACM Trans. Netw. 29(4): 1509-1526 (2021) - 2020
- [j4]David Darais, Ian Sweet, Chang Liu, Michael Hicks:
A language for probabilistically oblivious computation. Proc. ACM Program. Lang. 4(POPL): 50:1-50:31 (2020) - 2019
- [j3]Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin:
Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. J. Cryptol. 32(3): 941-972 (2019) - 2012
- [j2]Chang Liu, Guilin Qi, Haofen Wang, Yong Yu:
Reasoning with Large Scale Ontologies in Fuzzy pD* Using MapReduce. IEEE Comput. Intell. Mag. 7(2): 54-66 (2012) - 2011
- [j1]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): 490-503 (2011)
Conference and Workshop Papers
- 2024
- [c62]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. ICASSP 2024: 6535-6539 - [c61]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 - [c60]Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan:
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. ICML 2024 - [c59]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: 903-914 - 2023
- [c58]Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan:
Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR 2023 - [c57]Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu:
Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. MICRO 2023: 424-437 - 2022
- [c56]Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan:
Self-supervised Learning of Visual Graph Matching. ECCV (23) 2022: 370-388 - [c55]Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan:
Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML 2022: 13857-13869 - 2021
- [c54]Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu:
On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. ACSAC 2021: 297-310 - [c53]Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li:
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE 2021: 301-312 - [c52]Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li:
Knowledge-based Residual Learning. IJCAI 2021: 1653-1659 - [c51]Shicheng Wang, Menghao Zhang, Guanyu Li, Chang Liu, Ying Liu, Xuya Jia, Mingwei Xu:
Making Multi-String Pattern Matching Scalable and Cost-Efficient with Programmable Switching ASICs. INFOCOM 2021: 1-10 - [c50]Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen:
Cambricon-Q: A Hybrid Architecture for Efficient Training. ISCA 2021: 706-719 - 2020
- [c49]Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. AAAI 2020: 4174-4181 - [c48]Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS 2020: 385-399 - [c47]Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM 2020: 1783-1792 - [c46]Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen:
Fixed-Point Back-Propagation Training. CVPR 2020: 2327-2335 - [c45]Chen Chen, Xiaoyan Xiang, Chang Liu, Yunhai Shang, Ren Guo, Dongqi Liu, Yimin Lu, Ziyi Hao, Jiahui Luo, Zhijian Chen, Chunqiang Li, Yu Pu, Jianyi Meng, Xiaolang Yan, Yuan Xie, Xiaoning Qi:
Xuantie-910: Innovating Cloud and Edge Computing by RISC-V. Hot Chips Symposium 2020: 1-19 - [c44]Chen Chen, Xiaoyan Xiang, Chang Liu, Yunhai Shang, Ren Guo, Dongqi Liu, Yimin Lu, Ziyi Hao, Jiahui Luo, Zhijian Chen, Chunqiang Li, Yu Pu, Jianyi Meng, Xiaolang Yan, Yuan Xie, Xiaoning Qi:
Xuantie-910: A Commercial Multi-Core 12-Stage Pipeline Out-of-Order 64-bit High Performance RISC-V Processor with Vector Extension : Industrial Product. ISCA 2020: 52-64 - [c43]Menghao Zhang, Guanyu Li, Shicheng Wang, Chang Liu, Ang Chen, Hongxin Hu, Guofei Gu, Qi Li, Mingwei Xu, Jianping Wu:
Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches. NDSS 2020 - [c42]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - [c41]Jiasong Bai, Menghao Zhang, Guanyu Li, Chang Liu, Mingwei Xu, Hongxin Hu:
FastFE: Accelerating ML-based Traffic Analysis with Programmable Switches. SPIN@SIGCOMM 2020: 1-7 - 2019
- [c40]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning. AAAI 2019: 1344-1351 - [c39]Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song:
Lifelong Anomaly Detection Through Unlearning. CCS 2019: 1283-1297 - [c38]Shicheng Wang, Chang Liu, Ying Liu, Guanyu Li, Menghao Zhang, Yangyang Wang, Mingwei Xu:
Fast Multi-string Pattern Matching using PISA. CoNEXT Companion 2019: 74-75 - [c37]Xinyun Chen, Chang Liu, Dawn Song:
Execution-Guided Neural Program Synthesis. ICLR (Poster) 2019 - [c36]Guanyu Li, Menghao Zhang, Chang Liu, Xiao Kong, Ang Chen, Guofei Gu, Haixin Duan:
NETHCF: Enabling Line-rate and Adaptive Spoofed IP Traffic Filtering. ICNP 2019: 1-12 - [c35]Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song:
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. KDD 2019: 2012-2022 - [c34]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: 267-284 - [c33]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: 3620-3624 - 2018
- [c32]Wei Song, Heng Yin, Chang Liu, Dawn Song:
DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis. CCS 2018: 606-618 - [c31]Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song:
Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR 2018: 4951-4961 - [c30]Xinyun Chen, Chang Liu, Dawn Song:
Towards Synthesizing Complex Programs From Input-Output Examples. ICLR (Poster) 2018 - [c29]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. ICLR (Workshop) 2018 - [c28]Qi-Zhi Cai, Chang Liu, Dawn Song:
Curriculum Adversarial Training. IJCAI 2018: 3740-3747 - [c27]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. NeurIPS 2018: 2552-2562 - [c26]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: 19-35 - [c25]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: 53-69 - 2017
- [c24]Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea:
Robust Linear Regression Against Training Data Poisoning. AISec@CCS 2017: 91-102 - [c23]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: 363-376 - [c22]Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song:
Delving into Transferable Adversarial Examples and Black-box Attacks. ICLR (Poster) 2017 - 2016
- [c21]Zhangquan Zhou, Guilin Qi, Chang Liu, Raghava Mutharaju, Pascal Hitzler:
Reasoning with Large Scale OWL 2 EL Ontologies Based on MapReduce. APWeb (2) 2016: 429-433 - [c20]Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song:
Latent Attention For If-Then Program Synthesis. NIPS 2016: 4574-4582 - [c19]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: 321-332 - 2015
- [c18]Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin:
Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. ASIACRYPT (1) 2015: 337-359 - [c17]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: 87-101 - [c16]Chang Liu:
Trace oblivious computation. SPLASH (Companion Volume) 2015: 24-26 - [c15]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: 359-376 - 2014
- [c14]Xiao Shaun Wang, Kartik Nayak, Chang Liu, T.-H. Hubert Chan, Elaine Shi, Emil Stefanov, Yan Huang:
Oblivious Data Structures. CCS 2014: 215-226 - [c13]Chang Liu, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Zhenyu Guo, Thomas Moscibroda:
Automating Distributed Partial Aggregation. SoCC 2014: 1:1-1:12 - [c12]Chang Liu, Yan Huang, Elaine Shi, Jonathan Katz, Michael W. Hicks:
Automating Efficient RAM-Model Secure Computation. IEEE Symposium on Security and Privacy 2014: 623-638 - [c11]Chang Liu, Jacopo Urbani, Guilin Qi:
Efficient RDF stream reasoning with graphics processingunits (GPUs). WWW (Companion Volume) 2014: 343-344 - 2013
- [c10]Chang Liu, Michael Hicks, Elaine Shi:
Memory Trace Oblivious Program Execution. CSF 2013: 51-65 - [c9]Chang Liu, Brendan C. Fruin, Hanan Samet:
SAC: semantic adaptive caching for spatial mobile applications. SIGSPATIAL/GIS 2013: 174-183 - 2012
- [c8]Chang Liu, Guilin Qi, Yong Yu:
Large Scale Temporal RDFS Reasoning Using MapReduce. AAAI 2012: 2441-2442 - [c7]Zhangquan Zhou, Guilin Qi, Chang Liu, Pascal Hitzler, Raghava Mutharaju:
Reasoning with Fuzzy-EL+ Ontologies Using MapReduce. ECAI 2012: 933-934 - [c6]Chang Liu, Jun Qu, Guilin Qi, Haofen Wang, Yong Yu:
HadoopSPARQL: A Hadoop-Based Engine for Multiple SPARQL Query Answering. ESWC (Satellite Events) 2012: 474-479 - [c5]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: 121-133 - [c4]Chang Liu, Guilin Qi:
Toward Scalable Reasoning over Annotated RDF Data Using MapReduce. RR 2012: 238-241 - 2011
- [c3]Chang Liu, Guilin Qi, Haofen Wang, Yong Yu:
Large Scale Fuzzy pD * Reasoning Using MapReduce. ISWC (1) 2011: 405-420 - [c2]Chang Liu, Guilin Qi, Haofen Wang, Yong Yu:
Fuzzy Reasoning over RDF Data Using OWL Vocabulary. Web Intelligence 2011: 162-169 - 2008
- [c1]Haofen Wang, Thanh Tran, Chang Liu:
CE2: towards a large scale hybrid search engine with integrated ranking support. CIKM 2008: 1323-1324
Informal and Other Publications
- 2024
- [i30]Chang Liu, Xiaohui Xie, Xinggong Zhang, Yong Cui:
Large Language Models for Networking: Workflow, Advances and Challenges. CoRR abs/2404.12901 (2024) - 2023
- [i29]Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo:
Ultra-low Precision Multiplication-free Training for Deep Neural Networks. CoRR abs/2302.14458 (2023) - [i28]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. CoRR abs/2311.08141 (2023) - [i27]Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan:
Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. CoRR abs/2311.10483 (2023) - 2022
- [i26]Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan:
A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR abs/2203.02878 (2022) - 2021
- [i25]Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Simulate on Sparse Trajectory Data. CoRR abs/2103.11845 (2021) - [i24]Chang Liu, Guanjie Zheng, Zhenhui Li:
Learning to Route via Theory-Guided Residual Network. CoRR abs/2105.08279 (2021) - 2020
- [i23]Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen:
DWM: A Decomposable Winograd Method for Convolution Acceleration. CoRR abs/2002.00552 (2020) - [i22]Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR abs/2009.08052 (2020) - [i21]Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan:
Deep Reinforcement Learning of Graph Matching. CoRR abs/2012.08950 (2020) - 2019
- [i20]Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie:
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR abs/1903.03916 (2019) - [i19]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 abs/1905.05217 (2019) - 2018
- [i18]Xinyun Chen, Chang Liu, Dawn Song:
Tree-to-tree Neural Networks for Program Translation. CoRR abs/1802.03691 (2018) - [i17]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He:
Attentive Tensor Product Learning for Language Generation and Grammar Parsing. CoRR abs/1802.07089 (2018) - [i16]Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song:
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. CoRR abs/1802.08232 (2018) - [i15]Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li:
Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. CoRR abs/1804.00308 (2018) - [i14]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 abs/1804.02566 (2018) - [i13]Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song:
Curriculum Adversarial Training. CoRR abs/1805.04807 (2018) - 2017
- [i12]Xinyun Chen, Chang Liu, Dawn Song:
Learning Neural Programs To Parse Programs. CoRR abs/1706.01284 (2017) - [i11]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 abs/1708.06525 (2017) - [i10]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 abs/1709.08693 (2017) - [i9]Xiaojun Xu, Chang Liu, Dawn Song:
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning. CoRR abs/1711.04436 (2017) - [i8]David Darais, Chang Liu, Ian Sweet, Michael Hicks:
A Language for Probabilistically Oblivious Computation. CoRR abs/1711.09305 (2017) - [i7]Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song:
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. CoRR abs/1712.05526 (2017) - 2016
- [i6]Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea:
Robust High-Dimensional Linear Regression. CoRR abs/1608.02257 (2016) - [i5]Xinyun Chen, Chang Liu, Eui Chul Richard Shin, Dawn Song, Mingcheng Chen:
Latent Attention For If-Then Program Synthesis. CoRR abs/1611.01867 (2016) - [i4]Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song:
Delving into Transferable Adversarial Examples and Black-box Attacks. CoRR abs/1611.02770 (2016) - 2015
- [i3]Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin:
Oblivious Network RAM. IACR Cryptol. ePrint Arch. 2015: 73 (2015) - [i2]Xiao Shaun Wang, Chang Liu, Kartik Nayak, Yan Huang, Elaine Shi:
iDASH Secure Genome Analysis Competition Using ObliVM. IACR Cryptol. ePrint Arch. 2015: 191 (2015) - 2014
- [i1]Xiao Wang, Kartik Nayak, Chang Liu, Elaine Shi, Emil Stefanov, Yan Huang:
Oblivious Data Structures. IACR Cryptol. ePrint Arch. 2014: 185 (2014)
Coauthor Index
Dawn Song
aka: Dawn Xiaodong Song
aka: Dawn Xiaodong Song
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