Chang Liu - RankMe

109 papers A* 37A 5B 1Misc 1Journal 43Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AI Computing Systems for Large Language Models Training. J. Comput. Sci. Technol. Zhenxing Zhang, Yuanbo Wen, Han-Qi Lyu, Chang Liu, Rui Zhang, Xia-Qing Li, Chao Wang, Zidong Du, Qi Guo, Ling Li, Xue-Hai Zhou, Yun-Ji Chen
2025	A*	`conf`	Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation. ICLR Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan
2025	J	`jnl`	Large Language Models for Networking: Workflow, Advances, and Challenges. IEEE Netw. Chang Liu, Xiaohui Xie, Xinggong Zhang, Yong Cui
2025	A*	`conf`	MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding. ACM Multimedia Chang Liu, Ye Pan, Chenyang Ding, Susanto Rahardja, Xiaokang Yang
2025	J	`jnl`	MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding. CoRR Chang Liu, Ye Pan, Chenyang Ding, Susanto Rahardja, Xiaokang Yang
2024	A*	`conf`	ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. ICML Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan
2024	A*	`conf`	Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. ISCA 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
2024	Misc	`conf`	GMTR: Graph Matching Transformers. ICASSP Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
2024	A*	`conf`	L2P-MIP: Learning to Presolve for Mixed Integer Programming. ICLR Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
2024	J	`jnl`	Large Language Models for Networking: Workflow, Advances and Challenges. CoRR Chang Liu, Xiaohui Xie, Xinggong Zhang, Yong Cui
2024	J	`jnl`	Pygmtools: A Python Graph Matching Toolkit. J. Mach. Learn. Res. 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
2024	A*	`conf`	Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation. NeurIPS Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
2023	J	`jnl`	A survey for solving mixed integer programming via machine learning. Neurocomputing Jiayi Zhang, Chang Liu, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan, Yawen Li, Junchi Yan
2023	J	`jnl`	Bolt: Scalable and Cost-Efficient Multistring Pattern Matching With Programmable Switches. IEEE/ACM Trans. Netw. Shicheng Wang, Menghao Zhang, Guanyu Li, Chang Liu, Zhiliang Wang, Ying Liu, Mingwei Xu
2023	A*	`conf`	Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. MICRO Hongrui Guo, Yongwei Zhao, Zhangmai Li, Yifan Hao, Chang Liu, Xinkai Song, Xiaqing Li, Zidong Du, Rui Zhang, Qi Guo, Tianshi Chen, Zhiwei Xu
2023	J	`jnl`	GMTR: Graph Matching Transformers. CoRR Jinpei Guo, Shaofeng Zhang, Runzhong Wang, Chang Liu, Junchi Yan
2023	J	`jnl`	NetHCF: Filtering Spoofed IP Traffic With Programmable Switches. IEEE Trans. Dependable Secur. Comput. Menghao Zhang, Guanyu Li, Xiao Kong, Chang Liu, Mingwei Xu, Guofei Gu, Jianping Wu
2023	A*	`conf`	Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. ICLR Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan
2023	J	`jnl`	Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. CoRR Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan
2023	J	`jnl`	Ultra-low Precision Multiplication-free Training for Deep Neural Networks. CoRR Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo
2022	J	`jnl`	A Survey for Solving Mixed Integer Programming via Machine Learning. CoRR Jiayi Zhang, Chang Liu, Junchi Yan, Xijun Li, Hui-Ling Zhen, Mingxuan Yuan
2022	A*	`conf`	Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. ICML Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan
2022	J	`jnl`	Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training. IEEE Trans. Image Process. Chang Liu, Xishan Zhang, Rui Zhang, Ling Li, Shiyi Zhou, Di Huang, Zhen Li, Zidong Du, Shaoli Liu, Tianshi Chen
2022	—	`conf`	Self-supervised Learning of Visual Graph Matching. ECCV (23) Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan
2021	A*	`conf`	Cambricon-Q: A Hybrid Architecture for Efficient Training. ISCA 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
2021	J	`jnl`	Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches. IEEE/ACM Trans. Netw. Guanyu Li, Menghao Zhang, Shicheng Wang, Chang Liu, Mingwei Xu, Ang Chen, Hongxin Hu, Guofei Gu, Qi Li, Jianping Wu
2021	A*	`conf`	Knowledge-based Residual Learning. IJCAI Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li
2021	J	`jnl`	Learning to Route via Theory-Guided Residual Network. CoRR Chang Liu, Guanjie Zheng, Zhenhui Li
2021	J	`jnl`	Learning to Simulate on Sparse Trajectory Data. CoRR Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2021	A*	`conf`	Making Multi-String Pattern Matching Scalable and Cost-Efficient with Programmable Switching ASICs. INFOCOM Shicheng Wang, Menghao Zhang, Guanyu Li, Chang Liu, Ying Liu, Xuya Jia, Mingwei Xu
2021	A	`conf`	On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. ACSAC Zijie Yang, Binghui Wang, Haoran Li, Dong Yuan, Zhuotao Liu, Neil Zhenqiang Gong, Chang Liu, Qi Li, Xiao Liang, Shaofeng Hu
2021	A*	`conf`	Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. ICDE Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen, Zhenhui Li
2020	J	`jnl`	A language for probabilistically oblivious computation. Proc. ACM Program. Lang. David Darais, Ian Sweet, Chang Liu, Michael Hicks
2020	A*	`conf`	DWM: A Decomposable Winograd Method for Convolution Acceleration. AAAI Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen
2020	J	`jnl`	DWM: A Decomposable Winograd Method for Convolution Acceleration. CoRR Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen
2020	J	`jnl`	Deep Reinforcement Learning of Graph Matching. CoRR Chang Liu, Runzhong Wang, Zetian Jiang, Junchi Yan
2020	A*	`conf`	DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2020	—	`conf`	FastFE: Accelerating ML-based Traffic Analysis with Programmable Switches. SPIN@SIGCOMM Jiasong Bai, Menghao Zhang, Guanyu Li, Chang Liu, Mingwei Xu, Hongxin Hu
2020	A*	`conf`	Fixed-Point Back-Propagation Training. CVPR Xishan Zhang, Shaoli Liu, Rui Zhang, Chang Liu, Di Huang, Shiyi Zhou, Jiaming Guo, Qi Guo, Zidong Du, Tian Zhi, Yunji Chen
2020	A	`conf`	GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu
2020	J	`jnl`	GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu
2020	—	`conf`	Learning to Simulate on Sparse Trajectory Data. ECML/PKDD (4) Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li
2020	A*	`conf`	Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches. NDSS Menghao Zhang, Guanyu Li, Shicheng Wang, Chang Liu, Ang Chen, Hongxin Hu, Guofei Gu, Qi Li, Mingwei Xu, Jianping Wu
2020	A*	`conf`	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 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
2020	—	`conf`	Xuantie-910: Innovating Cloud and Edge Computing by RISC-V. Hot Chips Symposium 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
2019	A*	`conf`	Attentive Tensor Product Learning. AAAI Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He
2019	A*	`conf`	Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. KDD Zenghua Xia, Chang Liu, Neil Zhenqiang Gong, Qi Li, Yong Cui, Dawn Song
2019	A*	`conf`	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. WWW Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
2019	J	`jnl`	CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. CoRR Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li
2019	—	`conf`	Execution-Guided Neural Program Synthesis. ICLR (Poster) Xinyun Chen, Chang Liu, Dawn Song
2019	—	`conf`	Fast Multi-string Pattern Matching using PISA. CoNEXT Companion Shicheng Wang, Chang Liu, Ying Liu, Guanyu Li, Menghao Zhang, Yangyang Wang, Mingwei Xu
2019	A*	`conf`	Lifelong Anomaly Detection Through Unlearning. CCS Min Du, Zhi Chen, Chang Liu, Rajvardhan Oak, Dawn Song
2019	B	`conf`	NETHCF: Enabling Line-rate and Adaptive Spoofed IP Traffic Filtering. ICNP Guanyu Li, Menghao Zhang, Chang Liu, Xiao Kong, Ang Chen, Guofei Gu, Haixin Duan
2019	J	`jnl`	Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2019	J	`jnl`	Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. J. Cryptol. Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin
2019	A*	`conf`	The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks. USENIX Security Symposium Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song
2018	J	`jnl`	A Machine Learning Approach To Prevent Malicious Calls Over Telephony Networks. CoRR Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
2018	A*	`conf`	A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. IEEE Symposium on Security and Privacy Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song
2018	J	`jnl`	Attentive Tensor Product Learning for Language Generation and Grammar Parsing. CoRR Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He
2018	A*	`conf`	Curriculum Adversarial Training. IJCAI Qi-Zhi Cai, Chang Liu, Dawn Song
2018	J	`jnl`	Curriculum Adversarial Training. CoRR Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song
2018	A*	`conf`	DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis. CCS Wei Song, Heng Yin, Chang Liu, Dawn Song
2018	A*	`conf`	Fooling Vision and Language Models Despite Localization and Attention Mechanism. CVPR Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song
2018	A*	`conf`	Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. IEEE Symposium on Security and Privacy Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
2018	J	`jnl`	Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. CoRR Matthew Jagielski, Alina Oprea, Battista Biggio, Chang Liu, Cristina Nita-Rotaru, Bo Li
2018	J	`jnl`	The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. CoRR Nicholas Carlini, Chang Liu, Jernej Kos, Úlfar Erlingsson, Dawn Song
2018	—	`conf`	Towards Synthesizing Complex Programs From Input-Output Examples. ICLR (Poster) Xinyun Chen, Chang Liu, Dawn Song
2018	—	`conf`	Tree-to-tree Neural Networks for Program Translation. ICLR (Workshop) Xinyun Chen, Chang Liu, Dawn Song
2018	A*	`conf`	Tree-to-tree Neural Networks for Program Translation. NeurIPS Xinyun Chen, Chang Liu, Dawn Song
2018	J	`jnl`	Tree-to-tree Neural Networks for Program Translation. CoRR Xinyun Chen, Chang Liu, Dawn Song
2017	J	`jnl`	A Language for Probabilistically Oblivious Computation. CoRR David Darais, Chang Liu, Ian Sweet, Michael Hicks
2017	J	`jnl`	Can you fool AI with adversarial examples on a visual Turing test? CoRR Xiaojun Xu, Xinyun Chen, Chang Liu, Anna Rohrbach, Trevor Darrell, Dawn Song
2017	—	`conf`	Delving into Transferable Adversarial Examples and Black-box Attacks. ICLR (Poster) Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song
2017	J	`jnl`	Learning Neural Programs To Parse Programs. CoRR Xinyun Chen, Chang Liu, Dawn Song
2017	A*	`conf`	Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CCS Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song
2017	J	`jnl`	Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. CoRR Xiaojun Xu, Chang Liu, Qian Feng, Heng Yin, Le Song, Dawn Song
2017	—	`conf`	Robust Linear Regression Against Training Data Poisoning. AISec@CCS Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
2017	J	`jnl`	SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning. CoRR Xiaojun Xu, Chang Liu, Dawn Song
2017	J	`jnl`	Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. CoRR Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song
2016	A*	`conf`	Characterizing Long-tail SEO Spam on Cloud Web Hosting Services. WWW Xiaojing Liao, Chang Liu, Damon McCoy, Elaine Shi, Shuang Hao, Raheem A. Beyah
2016	J	`jnl`	Delving into Transferable Adversarial Examples and Black-box Attacks. CoRR Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song
2016	—	`conf`	Latent Attention For If-Then Program Synthesis. NIPS Chang Liu, Xinyun Chen, Eui Chul Richard Shin, Mingcheng Chen, Dawn Xiaodong Song
2016	J	`jnl`	Latent Attention For If-Then Program Synthesis. CoRR Xinyun Chen, Chang Liu, Eui Chul Richard Shin, Dawn Song, Mingcheng Chen
2016	—	`conf`	Reasoning with Large Scale OWL 2 EL Ontologies Based on MapReduce. APWeb (2) Zhangquan Zhou, Guilin Qi, Chang Liu, Raghava Mutharaju, Pascal Hitzler
2016	J	`jnl`	Robust High-Dimensional Linear Regression. CoRR Chang Liu, Bo Li, Yevgeniy Vorobeychik, Alina Oprea
2016	—	`—`	Trace Oblivious Program Execution. Chang Liu
2015	A*	`conf`	GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation. ASPLOS Chang Liu, Austin Harris, Martin Maas, Michael W. Hicks, Mohit Tiwari, Elaine Shi
2015	A*	`conf`	ObliVM: A Programming Framework for Secure Computation. IEEE Symposium on Security and Privacy Chang Liu, Xiao Shaun Wang, Kartik Nayak, Yan Huang, Elaine Shi
2015	—	`conf`	Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. ASIACRYPT (1) Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin
2015	J	`jnl`	Oblivious Network RAM. IACR Cryptol. ePrint Arch. Dana Dachman-Soled, Chang Liu, Charalampos Papamanthou, Elaine Shi, Uzi Vishkin
2015	—	`conf`	Trace oblivious computation. SPLASH (Companion Volume) Chang Liu
2015	J	`jnl`	iDASH Secure Genome Analysis Competition Using ObliVM. IACR Cryptol. ePrint Arch. Xiao Shaun Wang, Chang Liu, Kartik Nayak, Yan Huang, Elaine Shi
2014	—	`conf`	Automating Distributed Partial Aggregation. SoCC Chang Liu, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Zhenyu Guo, Thomas Moscibroda
2014	A*	`conf`	Automating Efficient RAM-Model Secure Computation. IEEE Symposium on Security and Privacy Chang Liu, Yan Huang, Elaine Shi, Jonathan Katz, Michael W. Hicks
2014	—	`conf`	Efficient RDF stream reasoning with graphics processingunits (GPUs). WWW (Companion Volume) Chang Liu, Jacopo Urbani, Guilin Qi
2014	A*	`conf`	Oblivious Data Structures. CCS Xiao Shaun Wang, Kartik Nayak, Chang Liu, T.-H. Hubert Chan, Elaine Shi, Emil Stefanov, Yan Huang
2014	J	`jnl`	Oblivious Data Structures. IACR Cryptol. ePrint Arch. Xiao Wang, Kartik Nayak, Chang Liu, Elaine Shi, Emil Stefanov, Yan Huang
2013	A	`conf`	Memory Trace Oblivious Program Execution. CSF Chang Liu, Michael Hicks, Elaine Shi
2013	—	`conf`	SAC: semantic adaptive caching for spatial mobile applications. SIGSPATIAL/GIS Chang Liu, Brendan C. Fruin, Hanan Samet
2012	—	`conf`	HadoopSPARQL: A Hadoop-Based Engine for Multiple SPARQL Query Answering. ESWC (Satellite Events) Chang Liu, Jun Qu, Guilin Qi, Haofen Wang, Yong Yu
2012	A*	`conf`	Large Scale Temporal RDFS Reasoning Using MapReduce. AAAI Chang Liu, Guilin Qi, Yong Yu
2012	A	`conf`	Reasoning with Fuzzy-EL+ Ontologies Using MapReduce. ECAI Zhangquan Zhou, Guilin Qi, Chang Liu, Pascal Hitzler, Raghava Mutharaju
2012	J	`jnl`	Reasoning with Large Scale Ontologies in Fuzzy pD* Using MapReduce. IEEE Comput. Intell. Mag. Chang Liu, Guilin Qi, Haofen Wang, Yong Yu
2012	A*	`conf`	Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. OSDI Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou
2012	—	`conf`	Toward Scalable Reasoning over Annotated RDF Data Using MapReduce. RR Chang Liu, Guilin Qi
2011	—	`conf`	Fuzzy Reasoning over RDF Data Using OWL Vocabulary. Web Intelligence Chang Liu, Guilin Qi, Haofen Wang, Yong Yu
2011	—	`conf`	Large Scale Fuzzy pD * Reasoning Using MapReduce. ISWC (1) Chang Liu, Guilin Qi, Haofen Wang, Yong Yu
2011	J	`jnl`	Lightweight integration of IR and DB for scalable hybrid search with integrated ranking support. J. Web Semant. Haofen Wang, Thanh Tran, Chang Liu, Linyun Fu
2008	A	`conf`	CE2: towards a large scale hybrid search engine with integrated ranking support. CIKM Haofen Wang, Thanh Tran, Chang Liu