no code implementations • 12 Dec 2022 • Yaofeng Desmond Zhong, Tongtao Zhang, Amit Chakraborty, Biswadip Dey
Our experiments show that this simple modification improves the performance of transformer networks in multiple tasks.
no code implementations • 5 May 2022 • Tongtao Zhang, Biswadip Dey, Krishna Veeraraghavan, Harshad Kulkarni, Amit Chakraborty
Computational fluid dynamics (CFD) simulations, a critical tool in various engineering applications, often require significant time and compute power to predict flow properties.
no code implementations • 3 Nov 2020 • Tongtao Zhang, Biswadip Dey, Pratik Kakkar, Arindam Dasgupta, Amit Chakraborty
We demonstrate this approach by predicting simulation results over out of range time interval and for novel design conditions.
no code implementations • 11 Feb 2020 • Tongtao Zhang, Heng Ji, Shih-Fu Chang, Marjorie Freedman
In this paper, we address a practical scenario where training data is released in a sequence of small-scale batches and annotation in earlier phases has lower quality than the later counterparts.
no code implementations • EMNLP 2018 • Ni Zhang, Tongtao Zhang, Indrani Bhattacharya, Heng Ji, Rich Radke
Group discussions are usually aimed at sharing opinions, reaching consensus and making good decisions based on group knowledge.
3 code implementations • 4 Jul 2018 • Yue Liu, Tongtao Zhang, Zhicheng Liang, Heng Ji, Deborah L. McGuinness
Inspired by recent successes in neural machine translation, we treat the triples within a given knowledge graph as an independent graph language and propose an encoder-decoder framework with an attention mechanism that leverages knowledge graph embeddings.
no code implementations • 21 Apr 2018 • Tongtao Zhang, Heng Ji
We propose a new method for event extraction (EE) task based on an imitation learning framework, specifically, inverse reinforcement learning (IRL) via generative adversarial network (GAN).
no code implementations • WS 2016 • Yu Hong, Liang Yao, Mengyi Liu, Tongtao Zhang, Wenxuan Zhou, Jianmin Yao, Heng Ji
We present a novel method of comparable corpora construction.
no code implementations • NAACL 2016 • Di Lu, Clare Voss, Fangbo Tao, Xiang Ren, Rachel Guan, Rostyslav Korolov, Tongtao Zhang, Dongang Wang, Hongzhi Li, Taylor Cassidy, Heng Ji, Shih-Fu Chang, Jiawei Han, William Wallace, James Hendler, Mei Si, Lance Kaplan