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Dong He

@dongheuw

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Research Scientist @AIatMeta. PhD @uwcse. Prev. @SnowflakeDB, @GraySystemsLab …

Palo Alto, CA
Joined September 2022
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@dongheuw
Dong He
3 months
RT @AIatMeta: Today is the start of a new era of natively multimodal AI innovation. Today, we’re introducing the first Llama 4 models: Lla….
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@dongheuw
Dong He
7 months
RT @edchi: @JeffDean @moderncpp7 @clu_cheng @NeurIPSConf @drfeifei @jhyuxm I wasn't there, but what I heard about it deeply concerned me.….
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@dongheuw
Dong He
7 months
RT @sunjiao123sun_: Mitigating racial bias from LLMs is a lot easier than removing it from humans! . Can’t believe this happened at the bes….
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@dongheuw
Dong He
1 year
RT @RanjayKrishna: Benchmarks today have become less informative to the communities they are meant to serve—researchers, developers, and us….
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@dongheuw
Dong He
1 year
RT @JieyuZhang20: Have trouble finding a benchmark for your use case?. Introducing TaskMeAnything, a benchmark generation engine that creat….
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@dongheuw
Dong He
1 year
RT @arankomatsuzaki: AI2 presents Task Me Anything. Presents a benchmark generation engine which produces a benchmark tailored to a user’s….
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@dongheuw
Dong He
2 years
RT @MatteInter: Next week I will be presenting Tensor Query Processor (TQP) at the PyTorch Conference! @sched.
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@dongheuw
Dong He
3 years
RT @uwcse: We were thrilled to welcome industry partners & friends to #UWAllen’s research showcase last week featuring a talk by #MacFellow….
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@dongheuw
Dong He
3 years
RT @TweetAtAKK: I also see a full paper on this new "tensor query processing" engine at VLDB'22 itself: Cool foll….
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@dongheuw
Dong He
3 years
My first in-person conference @VLDBconf since the start of my PhD. Met many great people and totally enjoyed it!! Many thanks to my collaborators and the conference officers!! #VLDB2022 #VLDB22
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@dongheuw
Dong He
3 years
I’ll present my work on accelerating a common class of queries for deep neural network interpretation, interpretation by example queries, at #VLDB2022 #VLDB22 in person at 10:30 am on Thursday in C2.2. Excited to see you there! Also, stop by my poster at the poster session!.
@pvldb
PVLDB
4 years
Vol:15 No:1 → DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation
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@dongheuw
Dong He
3 years
Thus, TQP free-rides on billions of dollars of hardware/software investments for ML. If you don't believe this could work, we also have a demo for TQP on Wednesday! We'll show TQP's integration with TensorBoard, and how TQP accelerates ML + SQL queries end-to-end on GPU. (3/3).
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@dongheuw
Dong He
3 years
The core idea is to compile SQL queries into tensor programs. We design and implement a query processor, TQP, on top of PyTorch so that SQL queries can be executed on CPUs, GPUs, and any other hardware supported by tensor computation runtimes like PyTorch, ONNX, etc. (2/3).
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@dongheuw
Dong He
3 years
Looking forward to our in-person presentation at #VLDB2022 #VLDB22! @MatteInter and I will present the world's first query processor on tensor computation runtimes, Tensor Query Processor (TQP), on Tuesday morning. Hope to see you there! cc @GraySystemsLab @uwcse (1/3).
@pvldb
PVLDB
3 years
Vol:15 No:11 → Query Processing on Tensor Computation Runtimes
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