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Bio: I received my Ph.D. from Yale University, supervised by Kumpati S. Narendra (Wiki, Yale page). I have broad research interests in Deep Reinforcement Learning (DRL), Deep neural networks, Natural Language Understanding (NLU), (Visual) Question Answering (QA), Multi-modal (Multiple Models)  learning algorithms and Adaptive System Control. I have published more than 20 papers at leading AI/NLP/ML/Control conferences, including  AAAI, NIPS, NAACL, EMNLP, COLING, CDC and ACC, InterSpeech etc., and received best reviewers several times from these conference. I have also served regularly as area chairs for ACC and CDC in machine learning, neural network and reinforcement learning sessions since 2015. I am the winner of the Sheffield Fellowship Award in 2012. 

Currently, my researches focus more on: Deep Reinforcement Learning (DRL) , Natural Language Understanding (NLU) and Question Answering (QA) tasks.

Click Here to See my Recent Publications and my Google Scholar page.

News!

My Journal paper on TNNLS (Impact Factor: 11.683) "A New Concept of Multiple Neural Networks Structure Using Convex Combination" is finally published!

2021/05 Two papers on spoken lanugauge dialogue and corefences are presented at ICASSP 2021, virtually on-line due to Covid-19.

2020/09 My paper on spoken language understanding "An Interactive Adversarial Reward Learning-based Spoken Language Understanding System" is presented at InterSpeech 2020, virtually on-line due to Covid-19.

2020/05 My paper on Multi-modal VQA "An Interpretable Multimodal Visual Question Answering System using Attention-based Weighted Contextual Features" is presented at AAMAS 2020, virtually on-line due to Covid-19.

2020/05 My paper on Dialogue State Tracking "A Bi-Model Approach for Handling Unknown Slot Values in Dialogue State Tracking" is presented at ICASSP 2020, virtually on-line due to Covid-19.

2019/06 Our paper "Sliqa-i: Towards cold-start development of end-to-end spoken language interface for question answering" is presented ICASSP 2019

2019/02 My paper "A Deep Reinforcement Learning based Multi-Step Coarse to Fine Question Answering (MSCQA) System" is presented AAAI 2019, Hawaii! Aloha!!

2018/11 My paper "An interpretable (Conversational) VQA model using Attention based Weighted Contextual Features" is accepted to NIPS 2018, workshop on Conversational AI

2018/11 Our Paper "A neural transition-based model for nested mention recognition" is presented at EMNLP 2018.

2018/06 My paper "A Bi-model based RNN Semantic Frame Parsing Model for Intent Detection and Slot Filling" is presented at NAACL 2018.

2018/06 I am invited as the Machine Learning Area Chair at 2018 American Control Conference (ACC 2018). Thanks to our conference organizers!

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