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Chang 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
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Chang Liu 0002
- Chang Liu 0003
- Chang Liu 0004
- Chang Liu 0005
- Chang Liu 0006
- Chang Liu 0007
- Chang Liu 0008
- Chang Liu 0009
- Chang Liu 0010
- Chang Liu 0011
- Chang Liu 0012
- Chang Liu 0013
- Chang Liu 0014
- Chang Liu 0015
- Chang Liu 0016
- 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
- Chang Liu 0020
- Chang Liu 0022
- Chang Liu 0023
- Chang Liu 0024
- Chang Liu 0025
- Chang Liu 0026
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0030
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036
- Chang Liu 0037
- Chang Liu 0038
- Chang Liu 0039
- Chang Liu 0040
- 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
- Chang Liu 0044
- Chang Liu 0045
- Chang Liu 0046
- Chang Liu 0047
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049
- Chang Liu 0050
- Chang Liu 0051
- Chang Liu 0052
- Chang Liu 0053
- Chang Liu 0054
- Chang Liu 0055
- Chang Liu 0056
- Chang Liu 0057
- Chang Liu 0058
- Chang Liu 0059
- Chang Liu 0060
- Chang Liu 0061
- Chang Liu 0062
- Chang Liu 0063
- Chang Liu 0064
- Chang Liu 0065
- Chang Liu 0066
- Chang Liu 0067
- Chang Liu 0068
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070
- Chang Liu 0071
- 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
- Chang Liu 0077
- Chang Liu 0078
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2020 – today
- 2024
- [j9]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) - [c60]Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan:
GMTR: Graph Matching Transformers. ICASSP 2024: 6535-6539 - [c59]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 - [c58]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 - [c57]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 - [i30]Chang Liu, Xiaohui Xie, Xinggong Zhang, Yong Cui:
Large Language Models for Networking: Workflow, Advances and Challenges. CoRR abs/2404.12901 (2024) - 2023
- [j8]Jiayi Zhang, Chang Liu
A survey for solving mixed integer programming via machine learning. Neurocomputing 519: 205-217 (2023) - [j7]Menghao Zhang
NetHCF: Filtering Spoofed IP Traffic With Programmable Switches. IEEE Trans. Dependable Secur. Comput. 20(2): 1641-1655 (2023) - [c56]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 - [c55]Hongrui Guo
Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. MICRO 2023: 424-437 - [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
- [j6]Chang Liu
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training. IEEE Trans. Image Process. 31: 7006-7019 (2022) - [c54]Chang Liu
Self-supervised Learning of Visual Graph Matching. ECCV (23) 2022: 370-388 - [c53]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 - [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
- [j5]Guanyu Li
Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches. IEEE/ACM Trans. Netw. 29(4): 1509-1526 (2021) - [c52]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 - [c51]Guanjie Zheng, Chang Liu
Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE 2021: 301-312 - [c50]Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen
Knowledge-based Residual Learning. IJCAI 2021: 1653-1659 - [c49]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 - [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
- [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) - [c48]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 - [c47]Xing Hu, Ling Liang, Shuangchen Li, Lei Deng
DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS 2020: 385-399 - [c46]Huichu Zhang, Chang Liu
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM 2020: 1783-1792 - [c45]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 - [c44]Chen Chen, Xiaoyan Xiang, Chang Liu, Yunhai Shang
Xuantie-910: Innovating Cloud and Edge Computing by RISC-V. Hot Chips Symposium 2020: 1-19 - [c43]Chen Chen, Xiaoyan Xiang, Chang Liu, Yunhai Shang
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 - [c42]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 - [c41]Hua Wei
Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) 2020: 530-545 - [c40]Jiasong Bai, Menghao Zhang
FastFE: Accelerating ML-based Traffic Analysis with Programmable Switches. SPIN@SIGCOMM 2020: 1-7 - [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)
2010 – 2019
- 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) - [c39]Qiuyuan Huang, Li Deng, Dapeng Oliver Wu
Attentive Tensor Product Learning. AAAI 2019: 1344-1351 - [c38]Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song:
Lifelong Anomaly Detection Through Unlearning. CCS 2019: 1283-1297 - [c37]Xinyun Chen, Chang Liu, Dawn Song:
Execution-Guided Neural Program Synthesis. ICLR (Poster) 2019 - [c36]Guanyu Li, Menghao Zhang
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
CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW 2019: 3620-3624 - [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
- [c32]Wei Song, Heng Yin
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
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 - [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
- [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
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 - [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
- [b1]Chang Liu:
Trace Oblivious Program Execution. University of Maryland, College Park, MD, USA, 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 - [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
- [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
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
ObliVM: A Programming Framework for Secure Computation. IEEE Symposium on Security and Privacy 2015: 359-376 - [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
- [c14]Xiao Shaun Wang
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
Efficient RDF stream reasoning with graphics processingunits (GPUs). WWW (Companion Volume) 2014: 343-344 - [i1]Xiao Wang, Kartik Nayak, Chang Liu, Elaine Shi, Emil Stefanov, Yan Huang:
Oblivious Data Structures. IACR Cryptol. ePrint Arch. 2014: 185 (2014) - 2013
- [c10]Chang Liu, Michael Hicks
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
- [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) - [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
- [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) - [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
2000 – 2009
- 2008
- [c1]Haofen Wang, Thanh Tran, Chang Liu:
CE2: towards a large scale hybrid search engine with integrated ranking support. CIKM 2008: 1323-1324
Coauthor Index
Dawn Song
aka: Dawn Xiaodong Song
aka: Dawn Xiaodong Song
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