Search Results for author: Jianyi Yang

Found 20 papers, 4 papers with code

CryoAlign: feature-based method for global and local 3D alignment of EM density maps

no code implementations17 Sep 2023 Bintao He, Fa Zhang, Chenjie Feng, Jianyi Yang, Xin Gao, Renmin Han

Advances on cryo-electron imaging technologies have led to a rapidly increasing number of density maps.

Towards Environmentally Equitable AI via Geographical Load Balancing

1 code implementation20 Jun 2023 Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren

The results demonstrate that existing GLB approaches may amplify environmental inequity while our proposed equity-aware GLB can significantly reduce the regional disparity in terms of carbon and water footprints.

Learning-Augmented Decentralized Online Convex Optimization in Networks

no code implementations16 Jun 2023 Pengfei Li, Jianyi Yang, Adam Wierman, Shaolei Ren

This paper studies decentralized online convex optimization in a networked multi-agent system and proposes a novel algorithm, Learning-Augmented Decentralized Online optimization (LADO), for individual agents to select actions only based on local online information.

Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees

1 code implementation31 May 2023 Pengfei Li, Jianyi Yang, Shaolei Ren

The key novelty of LOMAR is a new online switching operation which, based on a judicious condition to hedge against future uncertainties, decides whether to follow the expert's decision or the RL decision for each online item.

Reinforcement Learning (RL)

Robustified Learning for Online Optimization with Memory Costs

no code implementations1 May 2023 Pengfei Li, Jianyi Yang, Shaolei Ren

In this paper, we propose a novel expert-robustified learning (ERL) approach, achieving {both} good average performance and robustness.

Scheduling

Making AI Less "Thirsty": Uncovering and Addressing the Secret Water Footprint of AI Models

1 code implementation6 Apr 2023 Pengfei Li, Jianyi Yang, Mohammad A. Islam, Shaolei Ren

To respond to the global water challenges, AI models can, and also must, take social responsibility and lead by example by addressing their own water footprint.

Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints

no code implementations3 Dec 2022 Jianyi Yang, Shaolei Ren

Online optimization with multiple budget constraints is challenging since the online decisions over a short time horizon are coupled together by strict inventory constraints.

Rolling Shutter Correction

Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity

no code implementations2 Jul 2022 Jianyi Yang, Shaolei Ren

Based on the theoretical analysis, we propose a generalized informed training objective to better exploit the benefits of knowledge and balance the label and knowledge imperfectness, which is validated by the population risk bound.

Expert-Calibrated Learning for Online Optimization with Switching Costs

no code implementations18 Apr 2022 Pengfei Li, Jianyi Yang, Shaolei Ren

Nonetheless, by using the standard practice of training an ML model as a standalone optimizer and plugging it into an ML-augmented algorithm, the average cost performance can be highly unsatisfactory.

Learning for Robust Combinatorial Optimization: Algorithm and Application

no code implementations20 Dec 2021 Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren

Learning to optimize (L2O) has recently emerged as a promising approach to solving optimization problems by exploiting the strong prediction power of neural networks and offering lower runtime complexity than conventional solvers.

Combinatorial Optimization Edge-computing

One Proxy Device Is Enough for Hardware-Aware Neural Architecture Search

1 code implementation1 Nov 2021 Bingqian Lu, Jianyi Yang, Weiwen Jiang, Yiyu Shi, Shaolei Ren

A key requirement of efficient hardware-aware NAS is the fast evaluation of inference latencies in order to rank different architectures.

Hardware Aware Neural Architecture Search Neural Architecture Search

Masked Acoustic Unit for Mispronunciation Detection and Correction

no code implementations12 Aug 2021 Zhan Zhang, Yuehai Wang, Jianyi Yang

Computer-Assisted Pronunciation Training (CAPT) plays an important role in language learning.

Sentence

Robust Bandit Learning with Imperfect Context

no code implementations9 Feb 2021 Jianyi Yang, Shaolei Ren

A standard assumption in contextual multi-arm bandit is that the true context is perfectly known before arm selection.

Management

A Quantitative Perspective on Values of Domain Knowledge for Machine Learning

no code implementations17 Nov 2020 Jianyi Yang, Shaolei Ren

With the exploding popularity of machine learning, domain knowledge in various forms has been playing a crucial role in improving the learning performance, especially when training data is limited.

BIG-bench Machine Learning

Scaling Up Deep Neural Network Optimization for Edge Inference

no code implementations1 Sep 2020 Bingqian Lu, Jianyi Yang, Shaolei Ren

In the first approach, we reuse the performance predictors built on a proxy device, and leverage the performance monotonicity to scale up the DNN optimization without re-building performance predictors for each different device.

Quantization

Text-Conditioned Transformer for Automatic Pronunciation Error Detection

no code implementations28 Aug 2020 Zhan Zhang, Yuehai Wang, Jianyi Yang

In this paper, we propose to use the target text as an extra condition for the Transformer backbone to handle the APED task.

Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring

no code implementations3 Jul 2020 Zhihui Shao, Jianyi Yang, Shaolei Ren

In this paper, we address trustworthiness of DNNs by using post-hoc processing to monitor the true inference accuracy on a user's dataset.

Image Classification Traffic Sign Detection

Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets

no code implementations16 Jun 2020 Zhihui Shao, Jianyi Yang, Shaolei Ren

In this paper, we propose a new post-hoc confidence calibration method, called CCAC (Confidence Calibration with an Auxiliary Class), for DNN classifiers on OOD datasets.

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