no code implementations • Findings (EMNLP) 2021 • Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen
Knowledge Base Question Answering (KBQA) is to answer natural language questions posed over knowledge bases (KBs).
no code implementations • 21 Apr 2024 • Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruicaho Ren, En Zhu, Xinwang Liu
Graph Neural Networks have demonstrated great success in various fields of multimedia.
no code implementations • 18 Apr 2024 • Yu Feng, Ben Zhou, Weidong Lin, Dan Roth
Large language models primarily rely on inductive reasoning for decision making.
no code implementations • 18 Apr 2024 • Xingyu Fu, Yushi Hu, Bangzheng Li, Yu Feng, Haoyu Wang, Xudong Lin, Dan Roth, Noah A. Smith, Wei-Chiu Ma, Ranjay Krishna
We introduce Blink, a new benchmark for multimodal language models (LLMs) that focuses on core visual perception abilities not found in other evaluations.
no code implementations • 17 Feb 2024 • Yu Feng, Xing Shi, Mengli Cheng, Yun Xiong
As the task of 2D-to-3D reconstruction has gained significant attention in various real-world scenarios, it becomes crucial to be able to generate high-quality point clouds.
no code implementations • 17 Oct 2023 • Linfang Ding, Guohui Xiao, Albulen Pano, Mattia Fumagalli, Dongsheng Chen, Yu Feng, Diego Calvanese, Hongchao Fan, Liqiu Meng
Moreover, embracing KGs makes it easier to integrate with other spatial data sources, e. g., OpenStreetMap and existing (Geo)KGs (e. g., Wikidata, DBPedia, and GeoNames), and to perform queries combining information from multiple data sources.
no code implementations • 20 Dec 2022 • Yu Feng, Ben Zhou, Haoyu Wang, Helen Jin, Dan Roth
Temporal reasoning is the task of predicting temporal relations of event pairs.
no code implementations • 24 Sep 2022 • Haojie Xu, Weifeng Liu, Jingwei Liu, Mingzheng Li, Yu Feng, Yasi Peng, Yunwei Shi, Xiao Sun, Meng Wang
Our experiments demonstrate the effectiveness of our proposed model and hybrid fusion strategy on multimodal fusion, and the AUC of our proposed model on the test set is 0. 8972.
1 code implementation • 21 Mar 2022 • Yu Feng, Yuhai Tu
The contribution from a given eigen-direction is the product of two geometric factors (determinants): the sharpness of the loss landscape and the standard deviation of the dual weights, which is found to scale with the weight norm of the solution.
no code implementations • 14 Jan 2022 • Yu Feng, Qing Xiao, Claus Brenner, Aaron Peche, Juntao Yang, Udo Feuerhake, Monika Sester
By comparing the detected facade openings' heights with the predicted water levels from a flood simulation model, a map can be produced which assigns per-building flood risk levels.
1 code implementation • 12 Dec 2021 • Yu Feng, Jing Zhang, Xiaokang Zhang, Lemao Liu, Cuiping Li, Hong Chen
Embedding-based methods are popular for Knowledge Base Question Answering (KBQA), but few current models have numerical reasoning skills and thus struggle to answer ordinal constrained questions.
no code implementations • 2 Dec 2021 • Wei zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu
We conduct extensive studies over 18 state-of-the-art DL models/tasks and demonstrate that DPSGD often converges in cases where SSGD diverges for large learning rates in the large batch setting.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
3 code implementations • CVPR 2022 • Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, DaCheng Tao
However, designing a unified BA method that can be applied to various MIA systems is challenging due to the diversity of imaging modalities (e. g., X-Ray, CT, and MRI) and analysis tasks (e. g., classification, detection, and segmentation).
no code implementations • 3 May 2021 • Yueying Ni, Yin Li, Patrick Lachance, Rupert A. C. Croft, Tiziana Di Matteo, Simeon Bird, Yu Feng
In this work, we expand and test the capabilities of our recently developed super-resolution (SR) model to generate high-resolution (HR) realizations of the full phase-space matter distribution, including both displacement and velocity, from computationally cheap low-resolution (LR) cosmological N-body simulations.
no code implementations • 15 Mar 2021 • Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu
This paper presents a general framework to build fast and accurate algorithms for video enhancement tasks such as super-resolution, deblurring, and denoising.
no code implementations • 1 Feb 2021 • Chenglong Wang, Yu Feng, Rastislav Bodik, Isil Dillig, Alvin Cheung, Amy J. Ko
Modern visualization tools aim to allow data analysts to easily create exploratory visualizations.
Human-Computer Interaction Programming Languages
no code implementations • 16 Jan 2021 • Yu Feng, Yuhai Tu
Without mislabeled data, we find that the SGD learning dynamics transitions from a fast learning phase to a slow exploration phase, which is associated with large changes in order parameters that characterize the alignment of SGD gradients and their mean amplitude.
no code implementations • 1 Jan 2021 • Wei zhang, Mingrui Liu, Yu Feng, Brian Kingsbury, Yuhai Tu
We conduct extensive studies over 12 state-of-the-art DL models/tasks and demonstrate that DPSGD consistently outperforms SSGD in the large batch setting; and DPSGD converges in cases where SSGD diverges for large learning rates.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
no code implementations • 18 Nov 2020 • Yayuan Qin, Yao Shen, ChangLe Liu, Hongliang Wo, Yonghao Gao, Yu Feng, Xiaowen Zhang, Gaofeng Ding, Yiqing Gu, Qisi Wang, Shoudong Shen, Helen C. Walker, Robert Bewley, Jianhui Xu, Martin Boehm, Paul Steffens, Seiko Ohira-Kawamura, Naoki Murai, Astrid Schneidewind, Xin Tong, Gang Chen, Jun Zhao
We report thermodynamic and neutron scattering measurements of the triangular-lattice quantum Ising magnet TmMgGaO 4 in longitudinal magnetic fields.
Strongly Correlated Electrons Materials Science
no code implementations • 13 Oct 2020 • Yin Li, Yueying Ni, Rupert A. C. Croft, Tiziana Di Matteo, Simeon Bird, Yu Feng
Cosmological simulations of galaxy formation are limited by finite computational resources.
1 code implementation • 16 Aug 2020 • Yu Feng, Boyuan Tian, Tiancheng Xu, Paul Whatmough, Yuhao Zhu
Point cloud analytics is poised to become a key workload on battery-powered embedded and mobile platforms in a wide range of emerging application domains, such as autonomous driving, robotics, and augmented reality, where efficiency is paramount.
no code implementations • 21 Jun 2020 • Yu Feng, Claus Brenner, Monika Sester
Since more images are shared on social media than ever before, recent research focused on the extraction of flood-related posts by analyzing images in addition to texts.
no code implementations • 6 Jan 2020 • Yu Feng, Yuhai Tu
Despite the tremendous success of Stochastic Gradient Descent (SGD) algorithm in deep learning, little is known about how SGD finds generalizable solutions in the high-dimensional weight space.
2 code implementations • 15 Nov 2019 • Yu Feng, Paul Whatmough, Yuhao Zhu
The key to ASV is to exploit unique characteristics inherent to stereo vision, and apply stereo-specific optimizations, both algorithmically and computationally.
3 code implementations • 11 Sep 2019 • Francisco Villaescusa-Navarro, ChangHoon Hahn, Elena Massara, Arka Banerjee, Ana Maria Delgado, Doogesh Kodi Ramanah, Tom Charnock, Elena Giusarma, Yin Li, Erwan Allys, Antoine Brochard, Chi-Ting Chiang, Siyu He, Alice Pisani, Andrej Obuljen, Yu Feng, Emanuele Castorina, Gabriella Contardo, Christina D. Kreisch, Andrina Nicola, Roman Scoccimarro, Licia Verde, Matteo Viel, Shirley Ho, Stephane Mallat, Benjamin Wandelt, David N. Spergel
The Quijote simulations are a set of 44, 100 full N-body simulations spanning more than 7, 000 cosmological models in the $\{\Omega_{\rm m}, \Omega_{\rm b}, h, n_s, \sigma_8, M_\nu, w \}$ hyperplane.
Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics
2 code implementations • 26 Apr 2019 • Chirag Modi, Emanuele Castorina, Yu Feng, Martin White
This paper introduces the Hidden Valley simulations, a set of trillion-particle N-body simulations in gigaparsec volumes aimed at intensity mapping science.
Cosmology and Nongalactic Astrophysics
1 code implementation • 15 Nov 2018 • Siyu He, Yin Li, Yu Feng, Shirley Ho, Siamak Ravanbakhsh, Wei Chen, Barnabás Póczos
We build a deep neural network, the Deep Density Displacement Model (hereafter D$^3$M), to predict the non-linear structure formation of the Universe from simple linear perturbation theory.
1 code implementation • 14 Nov 2018 • Yin Li, Sukhdeep Singh, Byeonghee Yu, Yu Feng, Uros Seljak
We verify the analytic covariance against the sample covariance from the galaxy mock simulations in two test cases: (1) the power spectrum multipole covariance, and (2) the joint covariance of the projected correlation function and the correlation function multipoles.
Cosmology and Nongalactic Astrophysics
no code implementations • 6 May 2018 • Chirag Modi, Yu Feng, Uros Seljak
Our method relies on following the gradients of forward model and since the standard way to identify halos is non-differentiable and results in a discrete sample of objects, we propose a framework to model the halo position and mass field starting from the non-linear matter field using Neural Networks.
Cosmology and Nongalactic Astrophysics
2 code implementations • 15 Dec 2017 • Nick Hand, Yu Feng, Florian Beutler, Yin Li, Chirag Modi, Uros Seljak, Zachary Slepian
The package is extensively documented at http://nbodykit. readthedocs. io, which also includes an interactive set of example recipes for new users to explore.
Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics
no code implementations • 20 Jun 2017 • Liu Qiang, Yu Feng, Wu Shu, Wang Liang
Based on the attention mechanism, AIM can select microblogs with largest attention values for misinformation identification.
1 code implementation • 7 Sep 2015 • Zvonimir Vlah, Uroš Seljak, Man Yat Chu, Yu Feng
Shell crossings lead to non-perturbative effects, and the PT ignorance can be quantified in terms of their ratio, which is also the transfer function squared in the absence of stochasticity.
Cosmology and Nongalactic Astrophysics