CE2: towards a large scale hybrid search engine with integrated ranking support. - Haofen Wang; Thanh Tran 001; Chang Liu 021 (CIKM, 2008)

Large Scale Fuzzy pD * Reasoning Using MapReduce. - Chang Liu 021; Guilin Qi; Haofen Wang; Yong Yu 001 (ISWC (1), 2011)

Fuzzy Reasoning over RDF Data Using OWL Vocabulary. - Chang Liu 021; Guilin Qi; Haofen Wang; Yong Yu 001 (Web Intelligence, 2011)

Lightweight integration of IR and DB for scalable hybrid search with integrated ranking support. - Haofen Wang; Thanh Tran 001; Chang Liu 021; Linyun Fu (J. Web Semant., 2011)

Large Scale Temporal RDFS Reasoning Using MapReduce. - Chang Liu 021; Guilin Qi; Yong Yu 001 (AAAI, 2012)

Reasoning with Fuzzy-EL+ Ontologies Using MapReduce. - Zhangquan Zhou; Guilin Qi; Chang Liu 021; Pascal Hitzler; Raghava Mutharaju (ECAI, 2012)

HadoopSPARQL: A Hadoop-Based Engine for Multiple SPARQL Query Answering. - Chang Liu 021; Jun Qu; Guilin Qi; Haofen Wang; Yong Yu 001 (ESWC (Satellite Events), 2012)

Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE. - Zhenyu Guo; Xuepeng Fan; Rishan Chen; Jiaxing Zhang; Hucheng Zhou; Sean McDirmid; Chang Liu 021; Wei Lin 016; Jingren Zhou 001; Lidong Zhou (OSDI, 2012)

Toward Scalable Reasoning over Annotated RDF Data Using MapReduce. - Chang Liu 021; Guilin Qi (RR, 2012)

Reasoning with Large Scale Ontologies in Fuzzy pD* Using MapReduce. - Chang Liu 021; Guilin Qi; Haofen Wang; Yong Yu 001 (IEEE Comput. Intell. Mag., 2012)

Memory Trace Oblivious Program Execution. - Chang Liu 021; Michael Hicks 001; Elaine Shi (CSF, 2013)

SAC: semantic adaptive caching for spatial mobile applications. - Chang Liu 021; Brendan C. Fruin; Hanan Samet (SIGSPATIAL/GIS, 2013)

Oblivious Data Structures. - Xiao Shaun Wang; Kartik Nayak; Chang Liu 021; T.-H. Hubert Chan; Elaine Shi; Emil Stefanov; Yan Huang 001 (CCS, 2014)

Automating Distributed Partial Aggregation. - Chang Liu 021; Jiaxing Zhang; Hucheng Zhou; Sean McDirmid; Zhenyu Guo; Thomas Moscibroda (SoCC, 2014)

Automating Efficient RAM-Model Secure Computation. - Chang Liu 021; Yan Huang 001; Elaine Shi; Jonathan Katz; Michael W. Hicks (IEEE Symposium on Security and Privacy, 2014)

Efficient RDF stream reasoning with graphics processingunits (GPUs). - Chang Liu 021; Jacopo Urbani; Guilin Qi (WWW (Companion Volume), 2014)

Oblivious Data Structures. - Xiao Wang 012; Kartik Nayak; Chang Liu 021; Elaine Shi; Emil Stefanov; Yan Huang 001 (IACR Cryptol. ePrint Arch., 2014)

GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation. - Chang Liu 021; Austin Harris 001; Martin Maas 001; Michael W. Hicks; Mohit Tiwari; Elaine Shi (ASPLOS, 2015)

Trace oblivious computation. - Chang Liu 021 (SPLASH (Companion Volume), 2015)

ObliVM: A Programming Framework for Secure Computation. - Chang Liu 021; Xiao Shaun Wang; Kartik Nayak; Yan Huang 001; Elaine Shi (IEEE Symposium on Security and Privacy, 2015)

Oblivious Network RAM. - Dana Dachman-Soled; Chang Liu 021; Charalampos Papamanthou; Elaine Shi; Uzi Vishkin (IACR Cryptol. ePrint Arch., 2015)

iDASH Secure Genome Analysis Competition Using ObliVM. - Xiao Shaun Wang; Chang Liu 021; Kartik Nayak; Yan Huang 001; Elaine Shi (IACR Cryptol. ePrint Arch., 2015)

Reasoning with Large Scale OWL 2 EL Ontologies Based on MapReduce. - Zhangquan Zhou; Guilin Qi; Chang Liu 021; Raghava Mutharaju; Pascal Hitzler (APWeb (2), 2016)

Latent Attention For If-Then Program Synthesis. - Chang Liu 021; Xinyun Chen; Eui Chul Richard Shin; Mingcheng Chen; Dawn Xiaodong Song (NIPS, 2016)

Characterizing Long-tail SEO Spam on Cloud Web Hosting Services. - Xiaojing Liao; Chang Liu 021; Damon McCoy; Elaine Shi; Shuang Hao 001; Raheem A. Beyah (WWW, 2016)

Robust High-Dimensional Linear Regression. - Chang Liu 021; Bo Li 026; Yevgeniy Vorobeychik; Alina Oprea (CoRR, 2016)

Trace Oblivious Program Execution. - Chang Liu 021 (2016)

Robust Linear Regression Against Training Data Poisoning. - Chang Liu 021; Bo Li 026; Yevgeniy Vorobeychik; Alina Oprea (AISec@CCS, 2017)

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection. - Xiaojun Xu; Chang Liu 021; Qian Feng; Heng Yin 001; Le Song; Dawn Song (CCS, 2017)

Delving into Transferable Adversarial Examples and Black-box Attacks. - Yanpei Liu; Xinyun Chen; Chang Liu 021; Dawn Song (ICLR (Poster), 2017)

Learning Neural Programs To Parse Programs. - Xinyun Chen; Chang Liu 021; Dawn Song (CoRR, 2017)

Can you fool AI with adversarial examples on a visual Turing test? - Xiaojun Xu; Xinyun Chen; Chang Liu 021; Anna Rohrbach; Trevor Darrell; Dawn Song (CoRR, 2017)

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning. - Xiaojun Xu; Chang Liu 021; Dawn Song (CoRR, 2017)

Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. - Xinyun Chen; Chang Liu 021; Bo Li 026; Kimberly Lu; Dawn Song (CoRR, 2017)

DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis. - Wei Song; Heng Yin 001; Chang Liu 021; Dawn Song (CCS, 2018)

Fooling Vision and Language Models Despite Localization and Attention Mechanism. - Xiaojun Xu; Xinyun Chen; Chang Liu 021; Anna Rohrbach; Trevor Darrell; Dawn Song (CVPR, 2018)

Towards Synthesizing Complex Programs From Input-Output Examples. - Xinyun Chen; Chang Liu 021; Dawn Song (ICLR (Poster), 2018)

Curriculum Adversarial Training. - Qi-Zhi Cai; Chang Liu 021; Dawn Song (IJCAI, 2018)

Tree-to-tree Neural Networks for Program Translation. - Xinyun Chen; Chang Liu 021; Dawn Song (NeurIPS, 2018)

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning. - Matthew Jagielski; Alina Oprea; Battista Biggio; Chang Liu 021; Cristina Nita-Rotaru; Bo Li 026 (IEEE Symposium on Security and Privacy, 2018)

A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. - Huichen Li; Xiaojun Xu; Chang Liu 021; Teng Ren; Kun Wu; Xuezhi Cao; Weinan Zhang 001; Yong Yu 001; Dawn Song (IEEE Symposium on Security and Privacy, 2018)

Attentive Tensor Product Learning for Language Generation and Grammar Parsing. - Qiuyuan Huang; Li Deng 001; Dapeng Oliver Wu; Chang Liu 021; Xiaodong He 001 (CoRR, 2018)

The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets. - Nicholas Carlini; Chang Liu 021; Jernej Kos; Úlfar Erlingsson; Dawn Song (CoRR, 2018)

Curriculum Adversarial Training. - Qi-Zhi Cai; Min Du 003; Chang Liu 021; Dawn Song (CoRR, 2018)

Attentive Tensor Product Learning. - Qiuyuan Huang; Li Deng 001; Dapeng Oliver Wu; Chang Liu 021; Xiaodong He 001 (AAAI, 2019)

Lifelong Anomaly Detection Through Unlearning. - Min Du 003; Zhi Chen 028; Chang Liu 021; Rajvardhan Oak; Dawn Song (CCS, 2019)

Fast Multi-string Pattern Matching using PISA. - Shicheng Wang; Chang Liu 021; Ying Liu 024; Guanyu Li; Menghao Zhang 001; Yangyang Wang 001; Mingwei Xu (CoNEXT Companion, 2019)

Execution-Guided Neural Program Synthesis. - Xinyun Chen; Chang Liu 021; Dawn Song (ICLR (Poster), 2019)

NETHCF: Enabling Line-rate and Adaptive Spoofed IP Traffic Filtering. - Guanyu Li; Menghao Zhang 001; Chang Liu 021; Xiao Kong; Ang Chen 001; Guofei Gu; Haixin Duan (ICNP, 2019)

Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study. - Zenghua Xia; Chang Liu 021; Neil Zhenqiang Gong; Qi Li 002; Yong Cui 001; Dawn Song (KDD, 2019)

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks. - Nicholas Carlini; Chang Liu 021; Úlfar Erlingsson; Jernej Kos; Dawn Song (USENIX Security Symposium, 2019)

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. - Huichu Zhang; Siyuan Feng; Chang Liu 021; Yaoyao Ding; Yichen Zhu; Zihan Zhou 002; Weinan Zhang 001; Yong Yu 001; Haiming Jin; Zhenhui Li (WWW, 2019)

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. - Xing Hu 001; Ling Liang; Lei Deng 003; Shuangchen Li; Xinfeng Xie; Yu Ji 002; Yufei Ding 001; Chang Liu 021; Timothy Sherwood; Yuan Xie 001 (CoRR, 2019)

Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness. - Dana Dachman-Soled; Chang Liu 021; Charalampos Papamanthou; Elaine Shi; Uzi Vishkin (J. Cryptol., 2019)

DWM: A Decomposable Winograd Method for Convolution Acceleration. - Di Huang; Xishan Zhang; Rui Zhang 040; Tian Zhi; Deyuan He; Jiaming Guo; Chang Liu 021; Qi Guo 001; Zidong Du; Shaoli Liu; Tianshi Chen 002; Yunji Chen (AAAI, 2020)

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. - Xing Hu 001; Ling Liang; Shuangchen Li; Lei Deng 003; Pengfei Zuo; Yu Ji 002; Xinfeng Xie; Yufei Ding 001; Chang Liu 021; Timothy Sherwood; Yuan Xie 001 (ASPLOS, 2020)

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. - Huichu Zhang; Chang Liu 021; Weinan Zhang 001; Guanjie Zheng; Yong Yu 001 (CIKM, 2020)

Fixed-Point Back-Propagation Training. - Xishan Zhang; Shaoli Liu; Rui Zhang 040; Chang Liu 021; Di Huang; Shiyi Zhou; Jiaming Guo; Qi Guo 001; Zidong Du; Tian Zhi; Yunji Chen (CVPR, 2020)

Xuantie-910: Innovating Cloud and Edge Computing by RISC-V. - Chen Chen 058; Xiaoyan Xiang; Chang Liu 021; Yunhai Shang; Ren Guo; Dongqi Liu 003; Yimin Lu; Ziyi Hao; Jiahui Luo; Zhijian Chen; Chunqiang Li; Yu Pu; et al. (Hot Chips Symposium, 2020)

Xuantie-910: A Commercial Multi-Core 12-Stage Pipeline Out-of-Order 64-bit High Performance RISC-V Processor with Vector Extension : Industrial Product. - Chen Chen 058; Xiaoyan Xiang; Chang Liu 021; Yunhai Shang; Ren Guo; Dongqi Liu 003; Yimin Lu; Ziyi Hao; Jiahui Luo; Zhijian Chen; Chunqiang Li; Yu Pu; et al. (ISCA, 2020)

Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches. - Menghao Zhang 001; Guanyu Li; Shicheng Wang; Chang Liu 021; Ang Chen 001; Hongxin Hu; Guofei Gu; Qi Li 002; Mingwei Xu; Jianping Wu (NDSS, 2020)

Learning to Simulate on Sparse Trajectory Data. - Hua Wei 001; Chacha Chen; Chang Liu 021; Guanjie Zheng; Zhenhui Li (ECML/PKDD (4), 2020)

FastFE: Accelerating ML-based Traffic Analysis with Programmable Switches. - Jiasong Bai; Menghao Zhang 001; Guanyu Li; Chang Liu 021; Mingwei Xu; Hongxin Hu (SPIN@SIGCOMM, 2020)

Deep Reinforcement Learning of Graph Matching. - Chang Liu 021; Runzhong Wang; Zetian Jiang; Junchi Yan (CoRR, 2020)

A language for probabilistically oblivious computation. - David Darais; Ian Sweet; Chang Liu 021; Michael Hicks 001 (Proc. ACM Program. Lang., 2020)

On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks. - Zijie Yang; Binghui Wang; Haoran Li; Dong Yuan 006; Zhuotao Liu; Neil Zhenqiang Gong; Chang Liu 021; Qi Li 002; Xiao Liang; Shaofeng Hu (ACSAC, 2021)

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Chacha Chen; Zhenhui Li (ICDE, 2021)

Knowledge-based Residual Learning. - Guanjie Zheng; Chang Liu 021; Hua Wei 001; Porter Jenkins; Chacha Chen; Tao Wen 006; Zhenhui Li (IJCAI, 2021)

Making Multi-String Pattern Matching Scalable and Cost-Efficient with Programmable Switching ASICs. - Shicheng Wang; Menghao Zhang 001; Guanyu Li; Chang Liu 021; Ying Liu 024; Xuya Jia; Mingwei Xu (INFOCOM, 2021)

Cambricon-Q: A Hybrid Architecture for Efficient Training. - Yongwei Zhao; Chang Liu 021; Zidong Du; Qi Guo 001; Xing Hu 001; Yimin Zhuang; Zhenxing Zhang; Xinkai Song; Wei Li 008; Xishan Zhang; Ling Li 001; Zhiwei Xu 002; et al. (ISCA, 2021)

Learning to Route via Theory-Guided Residual Network. - Chang Liu 021; Guanjie Zheng; Zhenhui Li (CoRR, 2021)

Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches. - Guanyu Li; Menghao Zhang 001; Shicheng Wang; Chang Liu 021; Mingwei Xu; Ang Chen 001; Hongxin Hu; Guofei Gu; Qi Li 002; Jianping Wu (IEEE/ACM Trans. Netw., 2021)

Self-supervised Learning of Visual Graph Matching. - Chang Liu 021; Shaofeng Zhang; Xiaokang Yang 001; Junchi Yan (ECCV (23), 2022)

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning. - Chang Liu 021; Chenfei Lou; Runzhong Wang; Alan Yuhan Xi; Li Shen 008; Junchi Yan (ICML, 2022)

A Survey for Solving Mixed Integer Programming via Machine Learning. - Jiayi Zhang 003; Chang Liu 021; Junchi Yan; Xijun Li; Hui-Ling Zhen; Mingxuan Yuan (CoRR, 2022)

Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training. - Chang Liu 021; Xishan Zhang; Rui Zhang 040; Ling Li 001; Shiyi Zhou; Di Huang; Zhen Li; Zidong Du; Shaoli Liu; Tianshi Chen 002 (IEEE Trans. Image Process., 2022)

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching. - Chang Liu 021; Zetian Jiang; Runzhong Wang; Lingxiao Huang; Pinyan Lu; Junchi Yan (ICLR, 2023)

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing. - Hongrui Guo; Yongwei Zhao; Zhangmai Li; Yifan Hao 001; Chang Liu 021; Xinkai Song; Xiaqing Li; Zidong Du; Rui Zhang 040; Qi Guo 001; Tianshi Chen 002; Zhiwei Xu 002 (MICRO, 2023)

Ultra-low Precision Multiplication-free Training for Deep Neural Networks. - Chang Liu 021; Rui Zhang 040; Xishan Zhang; Yifan Hao 001; Zidong Du; Xing Hu 001; Ling Li 001; Qi Guo 001 (CoRR, 2023)

Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models. - Chang Liu 021; Xiwei Wu; Yuan Feng 001; Qinxiang Cao; Junchi Yan (CoRR, 2023)

A survey for solving mixed integer programming via machine learning. - Jiayi Zhang 003; Chang Liu 021; Xijun Li; Hui-Ling Zhen; Mingxuan Yuan; Yawen Li 001; Junchi Yan (Neurocomputing, 2023)

NetHCF: Filtering Spoofed IP Traffic With Programmable Switches. - Menghao Zhang 001; Guanyu Li; Xiao Kong; Chang Liu 021; Mingwei Xu; Guofei Gu; Jianping Wu (IEEE Trans. Dependable Secur. Comput., 2023)

Bolt: Scalable and Cost-Efficient Multistring Pattern Matching With Programmable Switches. - Shicheng Wang; Menghao Zhang 001; Guanyu Li; Chang Liu 021; Zhiliang Wang; Ying Liu 024; Mingwei Xu (IEEE/ACM Trans. Netw., 2023)

GMTR: Graph Matching Transformers. - Jinpei Guo; Shaofeng Zhang; Runzhong Wang; Chang Liu 021; Junchi Yan (ICASSP, 2024)

L2P-MIP: Learning to Presolve for Mixed Integer Programming. - Chang Liu 021; Zhichen Dong; Haobo Ma; Weilin Luo; Xijun Li; Bowen Pang; Jia Zeng; Junchi Yan (ICLR, 2024)

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation. - Ziao Guo; Yang Li 197; Chang Liu 021; Wenli Ouyang; Junchi Yan (ICML, 2024)

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. - Weihao Kong; Yifan Hao 001; Qi Guo 001; Yongwei Zhao; Xinkai Song; Xiaqing Li; Mo Zou; Zidong Du; Rui Zhang 040; Chang Liu 021; Yuanbo Wen; Pengwei Jin; et al. (ISCA, 2024)

Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation. - Chang Liu 021; Xiwei Wu; Yuan Feng 001; Qinxiang Cao; Junchi Yan (NeurIPS, 2024)

Large Language Models for Networking: Workflow, Advances and Challenges. - Chang Liu 021; Xiaohui Xie; Xinggong Zhang; Yong Cui 001 (CoRR, 2024)

Pygmtools: A Python Graph Matching Toolkit. - Runzhong Wang; Ziao Guo; Wenzheng Pan; Jiale Ma; Yikai Zhang; Nan Yang; Qi Liu; Longxuan Wei; Hanxue Zhang; Chang Liu 021; Zetian Jiang; Xiaokang Yang 001; et al. (J. Mach. Learn. Res., 2024)

Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation. - Tianyi Bao; Xinyu Ye; Hang Ruan; Chang Liu 021; Wenjie Wu; Junchi Yan (ICLR, 2025)

AI Computing Systems for Large Language Models Training. - Zhen-Xing Zhang; Yuanbo Wen; Han-Qi Lyu; Chang Liu 021; Rui Zhang 040; Xia-Qing Li; Chao Wang 003; Zidong Du; Qi Guo 001; Ling Li 001; Xue-Hai Zhou; Yun-Ji Chen (J. Comput. Sci. Technol., 2025)

MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding. - Chang Liu 021; Ye Pan; Chenyang Ding; Susanto Rahardja; Xiaokang Yang 001 (CoRR, 2025)