Chang Liu

Orcid: 0000-0002-3387-0083

Affiliations:
  • University of California, Berkeley, Department of EECS, CA, USA
  • University of Maryland, College Park, MD, USA (PhD 2016)
  • Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China


According to our database1, Chang Liu authored at least 89 papers between 2008 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Pygmtools: A Python Graph Matching Toolkit.
J. Mach. Learn. Res., 2024

Large Language Models for Networking: Workflow, Advances and Challenges.
CoRR, 2024

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

L2P-MIP: Learning to Presolve for Mixed Integer Programming.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

GMTR: Graph Matching Transformers.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Bolt: Scalable and Cost-Efficient Multistring Pattern Matching With Programmable Switches.
IEEE/ACM Trans. Netw., April, 2023

NetHCF: Filtering Spoofed IP Traffic With Programmable Switches.
IEEE Trans. Dependable Secur. Comput., 2023

A survey for solving mixed integer programming via machine learning.
Neurocomputing, 2023

Towards General Loop Invariant Generation via Coordinating Symbolic Execution and Large Language Models.
CoRR, 2023

Ultra-low Precision Multiplication-free Training for Deep Neural Networks.
CoRR, 2023

Cambricon-U: A Systolic Random Increment Memory Architecture for Unary Computing.
Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Rethinking the Importance of Quantization Bias, Toward Full Low-Bit Training.
IEEE Trans. Image Process., 2022

A Survey for Solving Mixed Integer Programming via Machine Learning.
CoRR, 2022

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning.
Proceedings of the International Conference on Machine Learning, 2022

Self-supervised Learning of Visual Graph Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Enabling Performant, Flexible and Cost-Efficient DDoS Defense With Programmable Switches.
IEEE/ACM Trans. Netw., 2021

Learning to Route via Theory-Guided Residual Network.
CoRR, 2021

Cambricon-Q: A Hybrid Architecture for Efficient Training.
Proceedings of the 48th ACM/IEEE Annual International Symposium on Computer Architecture, 2021

Making Multi-String Pattern Matching Scalable and Cost-Efficient with Programmable Switching ASICs.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Knowledge-based Residual Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

On Detecting Growing-Up Behaviors of Malicious Accounts in Privacy-Centric Mobile Social Networks.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
A language for probabilistically oblivious computation.
Proc. ACM Program. Lang., 2020

Deep Reinforcement Learning of Graph Matching.
CoRR, 2020

FastFE: Accelerating ML-based Traffic Analysis with Programmable Switches.
Proceedings of the 2020 ACM SIGCOMM 2020 Workshop on Secure Programmable Network Infrastructure, 2020

Learning to Simulate on Sparse Trajectory Data.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches.
Proceedings of the 27th Annual Network and Distributed System Security 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.
Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

Xuantie-910: Innovating Cloud and Edge Computing by RISC-V.
Proceedings of the IEEE Hot Chips 32 Symposium, 2020

Fixed-Point Back-Propagation Training.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints.
Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

DWM: A Decomposable Winograd Method for Convolution Acceleration.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Oblivious Network RAM and Leveraging Parallelism to Achieve Obliviousness.
J. Cryptol., 2019

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints.
CoRR, 2019

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario.
Proceedings of the World Wide Web Conference, 2019

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks.
Proceedings of the 28th USENIX Security Symposium, 2019

Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

NETHCF: Enabling Line-rate and Adaptive Spoofed IP Traffic Filtering.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

Execution-Guided Neural Program Synthesis.
Proceedings of the 7th International Conference on Learning Representations, 2019

Fast Multi-string Pattern Matching using PISA.
Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies, 2019

Lifelong Anomaly Detection Through Unlearning.
Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

Attentive Tensor Product Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Curriculum Adversarial Training.
CoRR, 2018

The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets.
CoRR, 2018

Attentive Tensor Product Learning for Language Generation and Grammar Parsing.
CoRR, 2018

A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

Tree-to-tree Neural Networks for Program Translation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Curriculum Adversarial Training.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Towards Synthesizing Complex Programs From Input-Output Examples.
Proceedings of the 6th International Conference on Learning Representations, 2018

Fooling Vision and Language Models Despite Localization and Attention Mechanism.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.
CoRR, 2017

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning.
CoRR, 2017

Can you fool AI with adversarial examples on a visual Turing test?
CoRR, 2017

Learning Neural Programs To Parse Programs.
CoRR, 2017

Delving into Transferable Adversarial Examples and Black-box Attacks.
Proceedings of the 5th International Conference on Learning Representations, 2017

Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection.
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security, 2017

Robust Linear Regression Against Training Data Poisoning.
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016
Trace Oblivious Program Execution.
PhD thesis, 2016

Robust High-Dimensional Linear Regression.
CoRR, 2016

Characterizing Long-tail SEO Spam on Cloud Web Hosting Services.
Proceedings of the 25th International Conference on World Wide Web, 2016

Latent Attention For If-Then Program Synthesis.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Reasoning with Large Scale OWL 2 EL Ontologies Based on MapReduce.
Proceedings of the Web Technologies and Applications - 18th Asia-Pacific Web Conference, 2016

2015
iDASH Secure Genome Analysis Competition Using ObliVM.
IACR Cryptol. ePrint Arch., 2015

Oblivious Network RAM.
IACR Cryptol. ePrint Arch., 2015

ObliVM: A Programming Framework for Secure Computation.
Proceedings of the 2015 IEEE Symposium on Security and Privacy, 2015

Trace oblivious computation.
Proceedings of the Companion Proceedings of the 2015 ACM SIGPLAN International Conference on Systems, 2015

GhostRider: A Hardware-Software System for Memory Trace Oblivious Computation.
Proceedings of the Twentieth International Conference on Architectural Support for Programming Languages and Operating Systems, 2015

2014
Oblivious Data Structures.
IACR Cryptol. ePrint Arch., 2014

Efficient RDF stream reasoning with graphics processingunits (GPUs).
Proceedings of the 23rd International World Wide Web Conference, 2014

Automating Efficient RAM-Model Secure Computation.
Proceedings of the 2014 IEEE Symposium on Security and Privacy, 2014

Automating Distributed Partial Aggregation.
Proceedings of the ACM Symposium on Cloud Computing, 2014

Oblivious Data Structures.
Proceedings of the 2014 ACM SIGSAC Conference on Computer and Communications Security, 2014

2013
SAC: semantic adaptive caching for spatial mobile applications.
Proceedings of the 21st SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2013

Memory Trace Oblivious Program Execution.
Proceedings of the 2013 IEEE 26th Computer Security Foundations Symposium, 2013

2012
Reasoning with Large Scale Ontologies in Fuzzy pD* Using MapReduce.
IEEE Comput. Intell. Mag., 2012

Toward Scalable Reasoning over Annotated RDF Data Using MapReduce.
Proceedings of the Web Reasoning and Rule Systems - 6th International Conference, 2012

Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE.
Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

HadoopSPARQL: A Hadoop-Based Engine for Multiple SPARQL Query Answering.
Proceedings of the Semantic Web: ESWC 2012 Satellite Events, 2012

Reasoning with Fuzzy-EL+ Ontologies Using MapReduce.
Proceedings of the ECAI 2012, 2012

Large Scale Temporal RDFS Reasoning Using MapReduce.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Lightweight integration of IR and DB for scalable hybrid search with integrated ranking support.
J. Web Semant., 2011

Fuzzy Reasoning over RDF Data Using OWL Vocabulary.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Large Scale Fuzzy pD * Reasoning Using MapReduce.
Proceedings of the Semantic Web - ISWC 2011, 2011

2008
CE2: towards a large scale hybrid search engine with integrated ranking support.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008


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