📚️ Ph.D. Student in Information Sciences from 2023 Fall @UIUC.
👨🏽💻 AI Frameworks Engineer @Intel @AI in Intel, 2020-2023.
🏫 M.S. in Information @Umich, 2019-2021.
🏫 B.Eng. in Electrical and Computer Engineering @SJTU, 2016-2020.
💡 I am interested in Data-Centric AI (e.g., data attribution); Trustworthy ML (e.g., robustness, fairness); Developing technical solutions for operationalizing regulatory principles (e.g., copyright issue for generative AI).
ℹ️ More information please refer to my personal website and google scholar.
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Working
UIUC, Ph.D. Student in Information Sciences / Intel, ex-AI Frameworks Engineer
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University of Illinois Urbana-Champaign
- Champaign
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17:28
(UTC -06:00) - theaperdeng.github.io
- https://orcid.org/0009-0009-9336-616X
Highlights
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intel-analytics/ipex-llm
intel-analytics/ipex-llm PublicAccelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL, MiniCPM-V, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU su…
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TRAIS-Lab/dattri
TRAIS-Lab/dattri Public`dattri` is a PyTorch library for developing, benchmarking, and deploying efficient data attribution algorithms.
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intel-analytics/BigDL-2.x
intel-analytics/BigDL-2.x PublicBigDL: Distributed TensorFlow, Keras and PyTorch on Apache Spark/Flink & Ray
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GNN-Generalization-Fairness
GNN-Generalization-Fairness PublicSubgroup Generalization and Fairness of Graph Neural Networks
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GNN-Attack-InfMax
GNN-Attack-InfMax PublicAdversarial Attack on Graph Neural Networks as An Influence Maximization Problem
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