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Yu Wang

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DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training20th USENIX Symposium on Operating Systems Design and Implementation (OSDI '26)2026-07-13
DynaRL claims a system that reclaims idle GPUs and reallocates them online using a dynamic hypergraph + a unified interrupt and migrate APIs, with three…
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The GOODPUT System: A Machine Learning-Driven Optimization Framework for Dynamic...NSDI '262026-05-04
Optimizes application-layer goodput by jointly choosing AP channel assignments, channel bonding decisions, and station→AP mappings using LSTM demand…
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Cost-efficient Archive Cloud Storage with Tape: Design and DeploymentFAST '262026-02-24
TapeOBS claims tape reduces TCO 4.95× and CO2e by 97% and runs in production storing hundreds of petabytes since 2024. It uses a 4% HDD staging pool to make a…
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Synchronized Behavior Checking: A Method for Finding Missed Compiler OptimizationsOOPSLA 20252025-10-16
Synchronized Behavior Checking cross-validates pairs of optimizations by mutating programs and checking co-occurring and complementary coordinated behaviors so…
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Solving Floating-Point Constraints with Continuous OptimizationPLDI 20252025-06-16
Grater converts floating‑point formulas into continuous, piecewise‑linear objective functions and uses gradient descent with random starts to find global…
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Evaluating the effectiveness of Deep Learning Models for Foundational Program Analysis(…)OOPSLA 20242024-10-20
Compares CuBERT, CodeBERT, GGNN and Graph Sandwiches on two concrete tasks—alias prediction (must/may/must-not) and semantic equivalence—using a new CodeSem…
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An Explanation Method for Models of CodeOOPSLA 20232023-10-23
An Explanation Method for Models of Code (Video, OOPSLA2 2023) Yu Wang, Ke Wang, and Linzhang Wang (Nanjing University, China; Visa Research, USA; Nanjing…
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Reverse Engineering the Customized Pointer Authentication Hardware Implementation on Apple M1Black Hat USA 20232023-08-05
Reverse engineering of Apple M1 PAC reveals a custom hardware pipeline: new Apple-specific system register encodings, a control register plus 128-bit…
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Neural Network Accelerator DesignESWEEK 20212021-10-08
Survey of >200 papers and 80 products compares CPUs, GPUs, FPGAs and ASICs and shows FPGA <1 TOPS/W vs ASICs pushing 10s–100s TOPS/W; quantization and pruning…
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Racing the Dark: A New TOCTTOU Story From Apple's CoreBlack Hat Asia 20212021-05-04
Researcher presents more than a dozen macOS kernel memory-mapping zero-days and traces how weak input validation and mapping rules create TOCTTOU and…
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Learning Semantic Program Embeddings with Graph Interval Neural NetworkOOPSLA 20202020-11-15
Paper presents Graph Interval Neural Network that learns program embeddings by iteratively abstracting control flow graphs into interval-based abstraction…
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Listen to Your Fingers: User Authentication based on Geometry Biometrics of Touch GestureUbiComp / ISWC 20202020-09-12
System uses active acoustic sensing and a Zadoff‑Chu sequence to capture multipath echoes of hand posture while entering PINs or patterns, building an…
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A New CVE-2015-0057 Exploit TechnologyBlack Hat Asia 20162016-03-29
Demonstrates working exploit techniques that turn CVE-2015-0057’s user‑mode callback use‑after‑free into reliable kernel primitives, with a live demo yielding…
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Understanding TOCTTOU in the Windows Kernel Font Scaler EngineBlack Hat USA 20142014-08-02
Finds a concrete TOCTTOU exploitation path in the Windows kernel Font Scaler: kernel code precomputes sizes for CG3/CG4, double‑fetches user buffers, and a…
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