no code implementations • 10 Jan 2025 • Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Yuxing Peng, Saee Paliwal, Weili Nie, Arash Vahdat
Drug discovery is a complex process that involves multiple scenarios and stages, such as fragment-constrained molecule generation, hit generation and lead optimization.
no code implementations • 15 Nov 2024 • Peter St. John, Dejun Lin, Polina Binder, Malcolm Greaves, Vega Shah, John St. John, Adrian Lange, Patrick Hsu, Rajesh Illango, Arvind Ramanathan, Anima Anandkumar, David H Brookes, Akosua Busia, Abhishaike Mahajan, Stephen Malina, Neha Prasad, Sam Sinai, Lindsay Edwards, Thomas Gaudelet, Cristian Regep, Martin Steinegger, Burkhard Rost, Alexander Brace, Kyle Hippe, Luca Naef, Keisuke Kamata, George Armstrong, Kevin Boyd, Zhonglin Cao, Han-Yi Chou, Simon Chu, Allan dos Santos Costa, Sajad Darabi, Eric Dawson, Kieran Didi, Cong Fu, Mario Geiger, Michelle Gill, Darren Hsu, Gagan Kaushik, Maria Korshunova, Steven Kothen-Hill, Youhan Lee, Meng Liu, Micha Livne, Zachary McClure, Jonathan Mitchell, Alireza Moradzadeh, Ohad Mosafi, Youssef Nashed, Yuxing Peng, Sara Rabhi, Farhad Ramezanghorbani, Danny Reidenbach, Camir Ricketts, Brian Roland, Kushal Shah, Tyler Shimko, Hassan Sirelkhatim, Savitha Srinivasan, Abraham C Stern, Dorota Toczydlowska, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Anton Vorontsov, Jared Wilber, Isabel Wilkinson, Wei Jing Wong, Eva Xue, Cory Ye, Xin Yu, Yang Zhang, Guoqing Zhou, Becca Zandstein, Christian Dallago, Bruno Trentini, Emine Kucukbenli, Saee Paliwal, Timur Rvachov, Eddie Calleja, Johnny Israeli, Harry Clifford, Risto Haukioja, Nicholas Haemel, Kyle Tretina, Neha Tadimeti, Anthony B Costa
We introduce the BioNeMo Framework to facilitate the training of computational biology and chemistry AI models across hundreds of GPUs.
1 code implementation • 25 Jul 2023 • Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Slobodan Ilic, Dewen Hu, Kai Xu
They seek correspondences over downsampled superpoints, which are then propagated to dense points.
1 code implementation • CVPR 2023 • Zheng Qin, Hao Yu, Changjian Wang, Yuxing Peng, Kai Xu
We first design a local spatial consistency measure over the deformation graph of the point cloud, which evaluates the spatial compatibility only between the correspondences in the vicinity of a graph node.
no code implementations • 12 Jul 2022 • Honghui Liu, Changjian Wang, Kele Xu, Fangzhao Li, Ming Feng, Yuxing Peng, Hongjun He
Wound image segmentation is a critical component for the clinical diagnosis and in-time treatment of wounds.
1 code implementation • 28 Apr 2022 • Boqing Zhu, Kele Xu, Changjian Wang, Zheng Qin, Tao Sun, Huaimin Wang, Yuxing Peng
We present an approach to learn voice-face representations from the talking face videos, without any identity labels.
2 code implementations • CVPR 2022 • Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu
Such sparse and loose matching requires contextual features capturing the geometric structure of the point clouds.
no code implementations • 16 Jul 2020 • Boqing Zhu, Kele Xu, Qiuqiang Kong, Huaimin Wang, Yuxing Peng
Yet, it is labor-intensive to accurately annotate large amount of audio data, and the dataset may contain noisy labels in the practical settings.
1 code implementation • IJCNLP 2019 • Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li
Rapid progress has been made in the field of reading comprehension and question answering, where several systems have achieved human parity in some simplified settings.
Ranked #8 on
Question Answering
on DROP Test
1 code implementation • ACL 2019 • Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li
This paper considers the reading comprehension task in which multiple documents are given as input.
1 code implementation • ACL 2019 • Minghao Hu, Yuxing Peng, Zhen Huang, Dongsheng Li, Yiwei Lv
Open-domain targeted sentiment analysis aims to detect opinion targets along with their sentiment polarities from a sentence.
Aspect-Based Sentiment Analysis (ABSA)
Aspect Term Extraction and Sentiment Classification
+2
3 code implementations • 28 Mar 2019 • Zheng Qin, Zeming Li, Zhaoning Zhang, Yiping Bao, Gang Yu, Yuxing Peng, Jian Sun
In this paper, we investigate the effectiveness of two-stage detectors in real-time generic detection and propose a lightweight two-stage detector named ThunderNet.
Ranked #15 on
Object Detection
on PASCAL VOC 2007
no code implementations • EMNLP 2018 • Minghao Hu, Yuxing Peng, Furu Wei, Zhen Huang, Dongsheng Li, Nan Yang, Ming Zhou
Despite that current reading comprehension systems have achieved significant advancements, their promising performances are often obtained at the cost of making an ensemble of numerous models.
no code implementations • 17 Aug 2018 • Minghao Hu, Furu Wei, Yuxing Peng, Zhen Huang, Nan Yang, Dongsheng Li
Machine reading comprehension with unanswerable questions aims to abstain from answering when no answer can be inferred.
Ranked #11 on
Question Answering
on SQuAD2.0 dev
3 code implementations • 27 Mar 2018 • Zheng Qin, Zhaoning Zhang, Dongsheng Li, Yiming Zhang, Yuxing Peng
Depthwise convolutions provide significant performance benefits owing to the reduction in both parameters and mult-adds.
1 code implementation • 25 Mar 2018 • Boqing Zhu, Changjian Wang, Feng Liu, Jin Lei, Zengquan Lu, Yuxing Peng
For leveraging the waveform-based features and spectrogram-based features in a single model, we introduce two-phase method to fuse the different features.
Sound Audio and Speech Processing
2 code implementations • 24 Mar 2018 • Zheng Qin, Zhaoning Zhang, Shiqing Zhang, Hao Yu, Yuxing Peng
Compact neural networks are inclined to exploit "sparsely-connected" convolutions such as depthwise convolution and group convolution for employment in mobile applications.
3 code implementations • 11 Feb 2018 • Zheng Qin, Zhaoning Zhang, Xiaotao Chen, Yuxing Peng
Experiments on ILSVRC 2012 and PASCAL VOC 2007 datasets demonstrate that FD-MobileNet consistently outperforms MobileNet and achieves comparable results with ShuffleNet under different computational budgets, for instance, surpassing MobileNet by 5. 5% on the ILSVRC 2012 top-1 accuracy and 3. 6% on the VOC 2007 mAP under a complexity of 12 MFLOPs.
3 code implementations • 8 May 2017 • Minghao Hu, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, Ming Zhou
In this paper, we introduce the Reinforced Mnemonic Reader for machine reading comprehension tasks, which enhances previous attentive readers in two aspects.
Ranked #17 on
Question Answering
on SQuAD1.1 dev
no code implementations • 31 Aug 2016 • Ting-Ting Xie, Yuxing Peng, Changjian Wang
Most traditional methods struggle to balance the precision and computational burden when data and its number of classes increased.