~/talks

Xiang Li

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SwiftEP: Accelerating MoE Inference with Buffer Fusion and TMA OffloadingNSDI '262026-05-04
SwiftEP is an all-to-all library that fuses compute and RDMA buffers and offloads NVLink transfers to the Hopper TMA to remove redundant copies and free SMs…
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Rowhammer-Based Trojan Injection: One Bit Flip Is Sufficient...USENIX Security '252025-08-13
Claims a practical one-bit flip Rowhammer backdoor that works on full-precision models by flipping one exponent bit in the classification layer, finding…
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Unlocking ECMP Programmability for Precise Traffic ControlNSDI '252025-04-28
P-ECMP implements a programming model, compiler, and runtime that reuses seldom-used ECMP groups to deterministically steer flows; compiler inputs are topology…
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Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU ClustersNSDI '252025-04-28
Holmes localizes slow or spiky iterations in multi‑thousand GPU LLM training by logging only communication operators, classifying abnormal operators with a…
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Statically Contextualizing Large Language Models with Typed HolesOOPSLA 20242024-10-20
Integration of a typed live editor with LLM completions produces fewer hallucinations by sending a Hazel language server–constructed static slice: inferred…
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More is Different: Prototyping and Analyzing a New Form of Edge Server with...USENIX ATC 20242024-07-10
A commercial SoC Cluster with 60 Snapdragon 865 SoCs in a 2U rack and deployed for mobile cloud gaming is measured against servers using a benchmark suite that…
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FwdLLM: Efficient Federated Finetuning of Large Language Models with Perturbed...USENIX ATC 20242024-07-10
Introduces a BP-free federated finetuning pipeline that estimates gradients via perturbed inferences (forward gradients) and updates only small adapter…
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MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs21st USENIX Symposium on Networked Systems Design and Implementation (NSDI '24)2024-04-16
MegaScale is a production system that trains LLMs on more than 10,000 GPUs and achieves concrete gains: 55.2% Model FLOPs Utilization when training a 175B…
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Efficient Bottom-Up Synthesis for Programs with Local VariablesPOPL 20242024-01-14
Introduces lifted interpretation, an algorithm that evaluates all grammar programs simultaneously to enumerate binding contexts and collapse equivalent…
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TsuKing: Coordinating DNS Resolvers and Queries into Potent DoS AmplifiersBlack Hat Europe 20232023-12-04
A new DNS amplification method called TsuKing coordinates vulnerable resolvers via crafted referral chains and an attacker-controlled authoritative king to…
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Auto-Paizo Games: Towards Understanding the Design of Games that Aim to Unify a Player’s Physical...CHI PLAY 20232023-10-10
Paper builds and tests a setup that loans control of one hand to Electrical Muscle Stimulation (EMS) while the other hand, holding a phone, drives it via…
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Fused Spectatorship: Designing Bodily Experiences Where Spectators Become PlayersCHI PLAY 20232023-10-10
A computational Fused Spectatorship system using Electrical Muscle Stimulation (EMS) actuates both hands to play three custom games; one game, Godai, is a…
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MaginotDNS: Attacking the Boundary of DNS Caching ProtectionBlack Hat USA 20232023-08-05
MaginotDNS is a cache‑poisoning technique that targets CDNS (resolvers that forward and recurse) by breaking bailiwick checking and injecting forged NS records…
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Phoenix Domain Attack: Vulnerable Links in Domain Name Delegation and RevocationBlack Hat Asia 20232023-05-09
Claim: Phoenix Domain lets revoked domains stay resolvable at scale by abusing DNS cache operations; two exploit types (T1 injects NS records as cached entries…
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Scalog: Seamless Reconfiguration and Total Order in a Scalable Shared LogNSDI 20202020-02-25
Scalog implements a shared log as per-shard local ordering plus an aggregator-based ordering layer that builds a global cut vector and uses a deterministic…
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Panel: Improving and Managing Kubernetes at ScaleKubeCon + CloudNativeCon North America 20192019-11-18
Multiple companies report concrete limits and fixes: control plane and etcd benchmarking shows storage and API server as bottlenecks; an 8k nodes -> 40k pods…
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Panel Discussion: Leverage Cloud Native to Transform Your Enterprise – The China regionKubeCon + CloudNativeCon China 20192019-06-24
Large Chinese enterprises describe migrating legacy apps to Kubernetes since 2014–2016, running thousands of nodes and facing upgrade, scalability and…
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Panel Discussion: Learn, Grow and Succeed in Kubernetes ContributionsKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Chinese Kubernetes contributions double down on practical work: contributors start with docs and small bug fixes, graduate to PR reviews, become…
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Panel Discussion: Learn, Grow and Succeed in Kubernetes ContributionsKubeCon + CloudNativeCon China 20192019-06-24
Panelists map a clear contributor path: start with docs, tests or small bugfixes, submit PRs, earn member → reviewer → approver roles; core tools discussed…
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Keynote: Cloud Native at Alibaba ScaleKubeCon + CloudNativeCon China 20192019-06-24
Alibaba runs Kubernetes clusters of tens of thousands of nodes and manages more than ten thousand heterogeneous applications, with stress-tested…
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Panel Discussion: Leverage Cloud Native to Transform Your Enterprise – The China regionKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Panelists describe concrete migrations: OpenStack/VM fleets move to Kubernetes starting 2014–2016, clusters grow to thousands of nodes, and operators build a…
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Keynote: Cloud Native at Alibaba ScaleKubeCon + CloudNativeCon + Open Source Summit China 20192019-06-24
Keynote: Cloud Native at Alibaba Scale - Xiang Li, Senior Staff Engineer, Alibaba Group and Technical Oversight Committee Member, CNCF As one of the biggest…
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Evolving Sigma: Adapting Kubernetes at AlibabaKubeCon + CloudNativeCon China 20182018-11-13
Sigma is a homegrown cluster manager that integrates Kubernetes to run tens of thousands of servers and legacy non-container workloads; the team adapts…
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