~/talks

Xin Zhang

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Abstract Interpretation with ConfidencePLDI 20262026-06-15
Paper defines alarm confidence as the probability of local completeness: the chance that a sampled concrete program, drawn from the set consistent with a given…
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Modern ETL for Text Vector Data Using Apache SeaTunnel and OpensearchOpenSearchCon China 20262026-03-17
Modern ETL for Text Vector Data Using Apache SeaTunnel and Opensearch - Xin Zhang, Amazon Web Services & Huilin Wu, AWS In the wave of enterprise intelligence…
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Accelerating Syntax-Guided Program Synthesis by Optimizing Domain-Specific LanguagesPOPL 20262026-01-11
AMaze automatically refines DSLs to cut synthesis time by estimating enumeration cost instead of running the solver, computing a feature component rank for…
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Fuzzing Guided by Bayesian Program AnalysisPOPL 20262026-01-11
Redefines Bayesian program analysis so each alarm gets a probability of being reachable by exploitation fuzzing (99% threshold in evaluation), uses per-target…
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On Abstraction Refinement for Bayesian Program AnalysisOOPSLA 20252025-10-16
Paper proposes an online abstraction search called BSRefine that performs counterexample-guided refinement on Bayesian program analyses by cutting information…
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Combining Formal and Informal Information in Bayesian Program Analysis via Soft(…)OOPSLA 20252025-10-16
Converts a Datalog analysis into a Bayesian network, attaches rule probabilities, and injects neural-network confidences as soft evidence (implemented via a…
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Demystifying the (In)Security of QR Code-based Login in Real-world DeploymentsUSENIX Security '252025-08-13
Presents a systematic measurement showing QR code logins across 350 sites, 109 testable, and 43% vulnerable; generalizes the QRLogin workflow, exposes six…
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Achilles: A Formal Framework of Leaking Secrets from Signature Schemes via...USENIX Security '252025-08-13
Achilles formalizes Rowhammer fault injection against a generalized signature scheme G-sign, automates symbolic differential analysis and secret recovery, and…
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Scaling Abstraction Refinement for Program Analyses in Datalog Using Graph Neural(…)OOPSLA 20242024-10-20
Applies graph neural networks to Datalog-derived graphs to prune abstraction parameters, then solves the reduced max‑sat refinement problem with a solver…
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Learning Abstraction Selection for Bayesian Program AnalysisOOPSLA 20242024-10-20
Framework learns which abstraction parameters to change by extracting derivation graphs before and after a candidate refinement, computing graph features…
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Accelerating Program Analyses in Datalog by Merging Library FactsSAS 20212021-10-17
Proposes 4DM, a Datalog transformation that inserts Abstract relations to merge sensitivity-domain values (e.g., contexts) so analyses run fewer times while…
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The Cloud Native Journey of Volcano EngineKubeCon + CloudNativeCon North America 2020 Virtual2020-11-17
Claims a production cloud‑native stack that supports 600M DAU and 1.5B MAU across ByteDance apps, built into a reusable one set coherent framework that spans…
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Kubeflow From the End User’s Perspective: The Good, The Bad, and The UglyKubeCon + CloudNativeCon China 20182018-11-13
Survey of 50+ Kubeflow users finds concrete wins and concrete blockers: Kubeflow uses Kubernetes for large-scale training and TensorFlow Serving for inference…
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Keynote: A Tale of Using Kubeflow to Make the Electricity Smarter in ChinaKubeCon + CloudNativeCon China 20182018-11-13
Deploys Kubeflow on Kubernetes to unify TensorFlow and PyTorch pipelines, PV/PVC storage, and orchestrated distributed training; connects to State Grid of…
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Kubernetes on Supporting $8 Trillion Card Payments in ChinaKubeCon + CloudNativeCon Europe 20182018-05-02
Kubernetes is extended to carry UnionPay’s production traffic that amounts to $8 trillion in card payments per year, deploying a federated control cluster…
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How to Make Kubernetes SmarterLinuxCon + ContainerCon + CloudOpen China 20172017-06-19
Keynote Lightning Talk: How to Make Kubernetes Smarter - Xin Zhang, CEO, Caicloud The declarative design pattern presents the central tenet of Kubernetes…
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The Good, the Bad, and the Ugly of Managing Production Systems with KubernetesKubeCon + CloudNativeCon North America 20162016-11-08
Concrete failures and fixes from dozens of Chinese enterprise deployments: 70% on‑premise, 30% on Alibaba Cloud; an Ansible offline installer and local Docker…
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