JINJIE NI

Nanyang Technological University
Ph.D. in Computer Science
    - Thesis: Attention Mechanism Optimization for Sub-Symbolic-Based and Neural-Symbolic-Based Natural Language Processing

Northwestern Polytechnical University
B.Eng. in Information Engineering
    - Thesis: Multi-channel Estimator for Video-based Affective Computing

Research Intern at DAMO Academy, Alibaba Group, Singapore, Apr/2022 - Oct/2022
    - Researched text & speech joint pretraining for explainable knowledge distillation. Worked with Dr. Yukun Ma.

Research Intern at Continental-NTU Corp Lab, Sep/2020 - Apr/2022
    - Developed in-car chatbots fusing task-oriented and open-domain dialogue systems. Worked with Dr. Rui Mao.

Research Intern at Institute of Automation, Chinese Academy of Sciences, Feb/2020 - Jun/2020
    - Researched anchor-free position estimation based on ExtremeNet and GCN. Worked with Dr. Sen Xin.

Research Assistant at Institute for Applied Computational Science, Harvard University, Jan/2019 - Mar/2019
    - Developed VAE-GAN variants for stylistic face generation. Worked with Dr. Pavlos Protopapas.

Research Intern at Institute of Computing Technology, Chinese Academy of Sciences, Oct/2018 - Nov/2018
    - Feature engineering for document classification. Worked with Dr. Shuai Jiao.

Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria. HiTKG: Towards Goal-guided Conversations. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022).

Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria. Finding the Pillars of Strength for Multi-head Attention. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023).

Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria. Adaptive Knowledge Distillation between Text and Speech Pre-trained Models. In proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023).

Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Erik Cambria. Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey. Artificial Intelligence Review; DOI: 10.1007/s10462-022-10248-8.

Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria. FusedChat: towards fusing task-oriented dialogues and chitchat in multi-turn conversational agents. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2022).

Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng. An embarrassingly simple model for dialogue relation extraction. In Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022).

Yukun Ma, Trung Hieu Nguyen, Jinjie Ni, Wen Wang, Qian Chen, Chong Zhang, Bin Ma. Auxiliary Pooling Layer For Spoken Language Understanding. In proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023).

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma. de'HuBERT: Disentangling noise in a self-supervised model for robust speech recognition. In proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023).

Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria. Logical Reasoning over Natural Language as Knowledge Representation: A Survey. Submitted to ACL 2023.

Jiaxing Xu, Jinjie Ni, Sophi Shilpa Gururajapathy, Yiping Ke. A Class-Aware Representation Refinement Framework for Graph Classification. Submitted to IJCAI 2023.

Chong Zhang, Dianwen Ng, Zhao Yang, Jinjie Ni, Jia Qi Yip, Yukun Ma, Chongjia Ni, Nguyen Trung Hieu, Eng Siong Chng, Bin Ma. A Self- and Semi-supervised Learning Framework for Multilingual Speech Recognition. Submitted to INTERSPEECH 2023.

Jinjie Ni, Hongyi Nie, Luomeng Zhang, Feng Yang. Synthetic Sentiment Energy: Situation Assessment in Crowds. In Proceedings of the IEEE International Conference on Robotics and Biomimetics 2019.

Jinjie Ni, Hongyi Nie, Luomeng Zhang, Feng Yang. Group Emotion Analysis Based on Binary-Channel Neural Network. In Proceedings of the Ninth Information Fusion Conference 2019.

Xiaonan Fan, Shaowu Zhang, Songyao Zhang, Jinjie Ni. lncRNA_Mdeep: an alignment-free predictor for distinguishing long non-coding RNAs from protein-coding transcripts by multimodal deep learning. International Journal of Molecular Sciences-847376; DOI: 10.3390.

SC1003: Introduction to Computational Thinking and Programming, Aug 2021 - Dec 2021
    - Teaching assistant for NTU undergraduate course

CE2100: Probability and Statistics for Computing, Jan 2021 - May 2021
    - Lecturer for NTU undergraduate tutorial

CE1113: Physics for Computing, Aug 2020 - Dec 2020
    - Teaching assistant for NTU undergraduate course

CZ2007: Introduction To Databases, Aug 2020 - Dec 2020
    - Teaching assistant for NTU undergraduate course

CZ2004: Human Computer Interaction, Aug 2020 - Dec 2020
    - Teaching assistant for NTU undergraduate course