Name
Affiliation
Papers
YU JIANG
Department of Computer Science, Tsinghua University, Beijing, China
140
Collaborators
Citations 
PageRank 
263
346
56.49
Referers 
Referees 
References 
866
2288
1067
Search Limit
1001000
Title
Citations
PageRank
Year
Unicorn: Detect Runtime Error in Time-Series Databases With Hybrid Input Synthesis00.342022
Vulnerability Detection of ICS Protocols via Cross-State Fuzzing00.342022
Code Synthesis for Dataflow-Based Embedded Software Design10.372022
Tardis: Coverage-Guided Embedded Operating System Fuzzing00.342022
HCG: optimizing embedded code generation of simulink with SIMD instruction synthesis00.342022
MIDAS: Safeguarding IoT Devices Against Malware via Real-Time Behavior Auditing00.342022
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations00.342022
MDD: A Unified Model-Driven Design Framework for Embedded Control Software00.342022
Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing30.402021
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing00.342021
PAVFuzz: State-Sensitive Fuzz Testing of Protocols in Autonomous Vehicles00.342021
Making smart contract development more secure and easier30.412021
Formal Design of Multi-Function Vehicle Bus Controller00.342021
Brief Industry Paper: Catching IoT Malware in the Wild Using HoneyIoT00.342021
Security reinforcement for Ethereum virtual machine00.342021
AdvDoor: adversarial backdoor attack of deep learning system10.352021
TTDeep: Time-Triggered Scheduling for Real-Time Ethernet via Deep Reinforcement Learning00.342021
Semantic Learning Based Cross-Platform Binary Vulnerability Search For IoT Devices40.412021
DeepFuzzer: Accelerated Deep Greybox Fuzzing10.372021
SCStudio: a secure and efficient integrated development environment for smart contracts10.372021
Poster: Fuzz Testing of Quantum Program20.402021
Empirical evaluation of smart contract testing: what is the best choice?00.342021
Rtkaller: State-Aware Task Generation For Rtos Fuzzing10.362021
Riff: Reduced Instruction Footprint For Coverage-Guided Fuzzing00.342021
Coverage Guided Differential Adversarial Testing of Deep Learning Systems10.352021
Escape from escape analysis of Golang00.342020
Fixed-priority scheduling and controller co-design for time-sensitive networks30.422020
LEVAX: An Input-Aware Learning-Based Error Model of Voltage-Scaled Functional Units00.342020
EM-Fuzz: Augmented Firmware Fuzzing via Memory Checking10.362020
Ics Protocol Fuzzing: Coverage Guided Packet Crack And Generation00.342020
Zeror: speed up fuzzing with coverage-sensitive tracing and scheduling10.372020
Tevot: Timing Error Modeling Of Functional Units Under Dynamic Voltage And Temperature Variations00.342020
Vetting API usages in C programs with IMChecker00.342019
Enabling clone detection for ethereum via smart contract birthmarks40.422019
Uncertainty Theory Based Reliability-Centric Cyber-Physical System Design20.372019
Go-Sanitizer: Bug-Oriented Assertion Generation for Golang00.342019
Industry practice of coverage-guided enterprise Linux kernel fuzzing.30.412019
Enfuzz: Ensemble Fuzzing With Seed Synchronization Among Diverse Fuzzers00.342019
IMSpec: An Extensible Approach to Exploring the Incorrect Usage of APIs00.342019
A Sensor Attack Detection Method in Intelligent Vehicle with Multiple Sensors00.342019
Go-clone: graph-embedding based clone detector for Golang00.342019
Dependable Model-driven Development of CPS: From Stateflow Simulation to Verified Implementation.30.392019
EVMFuzzer - detect EVM vulnerabilities via fuzz testing.30.402019
EVM<sup>*</sup>: From Offline Detection to Online Reinforcement for Ethereum Virtual Machine40.422019
LEOPARD: Identifying Vulnerable Code for Vulnerability Assessment through Program Metrics.30.382019
VisFuzz: understanding and intervening fuzzing with interactive visualization00.342019
Engineering a Better Fuzzer with Synergically Integrated Optimizations10.352019
EVMFuzz: Differential Fuzz Testing of Ethereum Virtual Machine.10.342019
EnFuzz: From Ensemble Learning to Ensemble Fuzzing.00.342018
Safetrace: a safety-driven requirement traceability framework on device interaction hazards for MD PnP.00.342018
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