Ji Lin | DeepAI

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Sergey Levine
379 publications
Yang Wang
233 publications
Trevor Darrell
209 publications
Stefano Ermon
168 publications
Chuang Gan
115 publications
Song Han
83 publications
Fisher Yu
70 publications
Min Sun
65 publications
Jun-Yan Zhu
59 publications
Yang Gao
52 publications
Richard Zhang
41 publications

∙ 06/01/2023

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Large language models (LLMs) have shown excellent performance on various...

0 Ji Lin, et al. ∙

∙ 04/12/2023

A Multi-Arm Two-Stage (MATS) Design for Proof-of-Concept and Dose Optimization in Early-Phase Oncology Trials

The Project Optimus initiative by the FDA's Oncology Center of Excellenc...

0 Zhenghao Jiang, et al. ∙

∙ 02/09/2023

Offsite-Tuning: Transfer Learning without Full Model

Transfer learning is important for foundation models to adapt to downstr...

0 Guangxuan Xiao, et al. ∙

∙ 02/09/2023

Integration of Efficacy Biomarkers Together with Toxicity Endpoints in Immune-Oncology Dose Finding Studies

The primary objective of phase I oncology studies is to establish the sa...

0 Yiding Zhang, et al. ∙

∙ 11/18/2022

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Large language models (LLMs) show excellent performance but are compute-...

0 Guangxuan Xiao, et al. ∙

∙ 11/03/2022

Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models

During image editing, existing deep generative models tend to re-synthes...

6 Muyang Li, et al. ∙

∙ 06/30/2022

On-Device Training Under 256KB Memory

On-device training enables the model to adapt to new data collected from...

14 Ji Lin, et al. ∙

∙ 04/25/2022

Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications

Deep neural networks (DNNs) have achieved unprecedented success in the f...

0 Han Cai, et al. ∙

∙ 10/28/2021

MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

Tiny deep learning on microcontroller units (MCUs) is challenging due to...

19 Ji Lin, et al. ∙

∙ 10/17/2021

Network Augmentation for Tiny Deep Learning

We introduce Network Augmentation (NetAug), a new training method for im...

0 Han Cai, et al. ∙

∙ 09/27/2021

TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge Device

The explosive growth in video streaming requires video understanding at ...

0 Ji Lin, et al. ∙

∙ 03/10/2021

PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades

We consider a Bayesian framework based on "probability of decision" for ...

0 Meizi Liu, et al. ∙

∙ 03/04/2021

Anycost GANs for Interactive Image Synthesis and Editing

Generative adversarial networks (GANs) have enabled photorealistic image...

23 Ji Lin, et al. ∙

∙ 08/11/2020

Hardware-Centric AutoML for Mixed-Precision Quantization

Model quantization is a widely used technique to compress and accelerate...

7 Kuan Wang, et al. ∙

∙ 07/31/2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

Self-driving cars need to understand 3D scenes efficiently and accuratel...

4 Haotian Tang, et al. ∙

∙ 07/20/2020

MCUNet: Tiny Deep Learning on IoT Devices

Machine learning on tiny IoT devices based on microcontroller units (MCU...

0 Ji Lin, et al. ∙

∙ 06/18/2020

Differentiable Augmentation for Data-Efficient GAN Training

The performance of generative adversarial networks (GANs) heavily deteri...

11 Shengyu Zhao, et al. ∙

∙ 06/15/2020

APQ: Joint Search for Network Architecture, Pruning and Quantization Policy

We present APQ for efficient deep learning inference on resource-constra...

0 Tianzhe Wang, et al. ∙

∙ 04/24/2020

Lite Transformer with Long-Short Range Attention

Transformer has become ubiquitous in natural language processing (e.g., ...

0 Zhanghao Wu, et al. ∙

∙ 03/19/2020

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Conditional Generative Adversarial Networks (cGANs) have enabled control...

69 Muyang Li, et al. ∙

∙ 10/01/2019

Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos

Deep video recognition is more computationally expensive than image reco...

0 Ji Lin, et al. ∙

∙ 09/20/2019

Alternative Analysis Methods for Time to Event Endpoints under Non-proportional Hazards: A Comparative Analysis

The log-rank test is most powerful under proportional hazards (PH). In p...

0 Ray S. Lin, et al. ∙

∙ 04/24/2019

Design Automation for Efficient Deep Learning Computing

Efficient deep learning computing requires algorithm and hardware co-des...

0 Song Han, et al. ∙

∙ 04/17/2019

Defensive Quantization: When Efficiency Meets Robustness

Neural network quantization is becoming an industry standard to efficien...

0 Ji Lin, et al. ∙

∙ 11/26/2018

Joint Monocular 3D Vehicle Detection and Tracking

3D vehicle detection and tracking from a monocular camera requires detec...

0 Hou-Ning Hu, et al. ∙

∙ 11/21/2018

HAQ: Hardware-Aware Automated Quantization

Model quantization is a widely used technique to compress and accelerate...

0 Kuan Wang, et al. ∙

∙ 11/20/2018

Temporal Shift Module for Efficient Video Understanding

The explosive growth in online video streaming gives rise to challenges ...

8 Ji Lin, et al. ∙

∙ 02/14/2018

Reinforcement Learning from Imperfect Demonstrations

Robust real-world learning should benefit from both demonstrations and i...

0 Yang Gao, et al. ∙

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