no code implementations • 19 Apr 2024 • Yian Li, Wentao Tian, Yang Jiao, Jingjing Chen, Yu-Gang Jiang
Counterfactual reasoning, as a crucial manifestation of human intelligence, refers to making presuppositions based on established facts and extrapolating potential outcomes.
no code implementations • 23 Mar 2024 • Yang Jiao, Gloria Wong-Padoongpatt, Mei Yang
Analytic features in gambling study are performed based on the amount of data monitoring on user daily actions.
no code implementations • 12 Mar 2024 • Guoshan Liu, Yang Jiao, Jingjing Chen, Bin Zhu, Yu-Gang Jiang
These two datasets are used to evaluate the transferability of approaches from the well-curated food image domain to the everyday-life food image domain.
1 code implementation • 12 Mar 2024 • Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang
This adaptation leads to convenient development of such LMMs with minimal modifications, however, it overlooks the intrinsic characteristics of diverse visual tasks and hinders the learning of perception capabilities.
no code implementations • 20 Dec 2023 • Pengchao Han, Shiqiang Wang, Yang Jiao, Jianwei Huang
Toward the challenges, we propose an online problem approximation to reduce the problem complexity and optimize the resources to balance the needs of model training and inference.
no code implementations • 19 Dec 2023 • Yang Jiao, Kai Yang, Tiancheng Wu, Chengtao Jian, Jianwei Huang
To address the aforementioned challenges, this paper proposes an asynchronous federated trilevel optimization method to solve TLO problems.
no code implementations • 13 Dec 2023 • Yang Jiao, Zequn Jie, Shaoxiang Chen, Lechao Cheng, Jingjing Chen, Lin Ma, Yu-Gang Jiang
Camera-based bird-eye-view (BEV) perception paradigm has made significant progress in the autonomous driving field.
no code implementations • 8 Nov 2023 • Tianchen Zhou, Jia Liu, Yang Jiao, Chaosheng Dong, Yetian Chen, Yan Gao, Yi Sun
Online learning to rank (ONL2R) is a foundational problem for recommender systems and has received increasing attention in recent years.
no code implementations • 25 Jul 2023 • Yang Jiao, Kai Yang, Dongjin Song
Distributionally Robust Optimization (DRO), which aims to find an optimal decision that minimizes the worst case cost over the ambiguity set of probability distribution, has been widely applied in diverse applications, e. g., network behavior analysis, risk management, etc.
2 code implementations • 24 May 2023 • Tianwen Qian, Jingjing Chen, Linhai Zhuo, Yang Jiao, Yu-Gang Jiang
We introduce a novel visual question answering (VQA) task in the context of autonomous driving, aiming to answer natural language questions based on street-view clues.
no code implementations • CVPR 2023 • Yang Jiao, Yan Gao, Jingjing Meng, Jin Shang, Yi Sun
Fashion representation learning involves the analysis and understanding of various visual elements at different granularities and the interactions among them.
no code implementations • 24 Dec 2022 • Jinan Zou, Qingying Zhao, Yang Jiao, Haiyao Cao, Yanxi Liu, Qingsen Yan, Ehsan Abbasnejad, Lingqiao Liu, Javen Qinfeng Shi
Existing surveys on stock market prediction often focus on traditional machine learning methods instead of deep learning methods.
1 code implementation • 20 Dec 2022 • Yang Jiao, Kai Yang, Tiancheng Wu, Dongjin Song, Chengtao Jian
Bilevel optimization plays an essential role in many machine learning tasks, ranging from hyperparameter optimization to meta-learning.
no code implementations • 11 Dec 2022 • Shuo Yang, Yang Jiao, Shaoyu Dou, Mana Zheng, Chen Zhu
The bilevel optimization is used to automatically update the hyperparameter, and the gradient of the hyperparameter is the approximate gradient based on the best response function.
no code implementations • 14 Oct 2022 • Yang Jiao, Kai Yang, Dongjin Song
Distributionally Robust Optimization (DRO), which aims to find an optimal decision that minimizes the worst case cost over the ambiguity set of probability distribution, has been widely applied in diverse applications, e. g., network behavior analysis, risk management, etc.
1 code implementation • CVPR 2023 • Yang Jiao, Zequn Jie, Shaoxiang Chen, Jingjing Chen, Lin Ma, Yu-Gang Jiang
Recent approaches aim at exploring the semantic densities of camera features through lifting points in 2D camera images (referred to as seeds) into 3D space, and then incorporate 2D semantics via cross-modal interaction or fusion techniques.
no code implementations • 17 Jul 2022 • Shaoyu Dou, Kai Yang, Yang Jiao, Chengbo Qiu, Kui Ren
The proposed framework aspires to offer a stepping stone that gives rise to a systematic approach to model and learn similarities among a multitude of event-triggered time series.
no code implementations • 10 Mar 2022 • Yang Jiao, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang
Recently, one-stage visual grounders attract high attention due to their comparable accuracy but significantly higher efficiency than two-stage grounders.
1 code implementation • 10 Mar 2022 • Yang Jiao, Shaoxiang Chen, Zequn Jie, Jingjing Chen, Lin Ma, Yu-Gang Jiang
3D dense captioning is a recently-proposed novel task, where point clouds contain more geometric information than the 2D counterpart.
no code implementations • 8 Dec 2021 • Naresh S. Iyer, Amir M. Mirzendehdel, Sathyanarayanan Raghavan, Yang Jiao, Erva Ulu, Morad Behandish, Saigopal Nelaturi, Dean M. Robinson
In this paper, we propose PATO-a producibility-aware topology optimization (TO) framework to help efficiently explore the design space of components fabricated using metal additive manufacturing (AM), while ensuring manufacturability with respect to cracking.
1 code implementation • 9 Oct 2021 • Yang Jiao, Zequn Jie, Weixin Luo, Jingjing Chen, Yu-Gang Jiang, Xiaolin Wei, Lin Ma
Referring Image Segmentation (RIS) aims at segmenting the target object from an image referred by one given natural language expression.
1 code implementation • 6 Sep 2021 • Sheng Cheng, Yang Jiao, Yi Ren
This paper considers the open challenge of identifying complete, concise, and explainable quantitative microstructure representations for disordered heterogeneous material systems.
no code implementations • 16 Jan 2021 • Yang Jiao, Guangming Shi, Trac D. Tran
In this paper, we discover that the lost information is related to a large quantity of motion features (more than 40%) computed from the popular discriminative cost-volume feature would completely vanish due to invalid sampling, leading to the low efficiency of optical flow learning.
no code implementations • 22 Dec 2020 • Yu Zheng, Duyu Chen, Lei Liu, Houlong Zhuang, Yang Jiao
We discover two distinct topological pathways through which the pentagonal Cairo tiling (P5), a structural model for single-layer $AB_2$ pyrite materials, respectively transforms into a crystalline rhombus-hexagon (C46) tiling and random rhombus-pentagon-hexagon (R456) tilings, by continuously introducing the Stone-Wales (SW) topological defects.
Soft Condensed Matter Disordered Systems and Neural Networks Materials Science
no code implementations • 16 Nov 2020 • Yang Jiao, Yi Niu, Trac D. Tran, Guangming Shi
In 2D+3D facial expression recognition (FER), existing methods generate multi-view geometry maps to enhance the depth feature representation.
3D Facial Expression Recognition Facial Expression Recognition
no code implementations • CVPR 2021 • Yang Jiao, Trac D. Tran, Guangming Shi
This paper addresses the challenging unsupervised scene flow estimation problem by jointly learning four low-level vision sub-tasks: optical flow $\textbf{F}$, stereo-depth $\textbf{D}$, camera pose $\textbf{P}$ and motion segmentation $\textbf{S}$.
1 code implementation • Findings of the Association for Computational Linguistics 2020 • Yang Jiao, Jiacheng Li, Jiaman Wu, Dezhi Hong, Rajesh Gupta, Jingbo Shang
Sensor metadata tagging, akin to the named entity recognition task, provides key contextual information (e. g., measurement type and location) about sensors for running smart building applications.
no code implementations • 21 Oct 2020 • Yang Jiao
The proposed method addresses involved tasks as a sequence to sequence mapping problem, which is general enough for a variety of front-end speech enhancement tasks.
no code implementations • 4 Oct 2020 • Yang Jiao, Kai Yang, Shaoyu Dou, Pan Luo, Sijia Liu, Dongjin Song
To this end, we propose an autonomous representation learning approach for multivariate time series (TimeAutoML) with irregular sampling rates and variable lengths.
no code implementations • 16 Jul 2020 • Yang Jiao
Single channel speech dereverberation is considered in this work.
no code implementations • 26 Nov 2019 • Yang Jiao, Mo Weng, Mei Yang
In this paper, we first define the problem of multi-object portion tracking to model the protein object tracking process.
no code implementations • 16 May 2019 • Yu Zheng, Hanqing Nan, Qihui Fan, Xiaochen Wang, LiYu Liu, Ruchuan Liu, Fangfu Ye, Bo Sun, Yang Jiao
During migration, individual cells can generate active pulling forces via actin filament contraction, which are transmitted to the ECM fibers through focal adhesion complexes, remodel the ECM, and eventually propagate to and can be sensed by other cells in the system.
1 code implementation • 7 Dec 2017 • Ruijin Cang, Hechao Li, Hope Yao, Yang Jiao, Yi Ren
Direct prediction of material properties from microstructures through statistical models has shown to be a potential approach to accelerating computational material design with large design spaces.
Computational Physics Materials Science
1 code implementation • 22 Dec 2016 • Ruijin Cang, Yaopengxiao Xu, Shaohua Chen, Yongming Liu, Yang Jiao, Max Yi Ren
Integrated Computational Materials Engineering (ICME) aims to accelerate optimal design of complex material systems by integrating material science and design automation.