Jinjie Ni

According to our database, Jinjie Ni authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A survey on semantic processing techniques.

Rui Mao, Kai He, Xulang Zhang, Guanyi Chen, Jinjie Ni, Zonglin Yang, Erik Cambria

Inf. Fusion, January, 2024

A class-aware representation refinement framework for graph classification.

Jiaxing Xu, Jinjie Ni, Yiping Ke

Inf. Sci., 2024

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures.

Jinjie Ni, Fuzhao Xue, Xiang Yue, Yuntian Deng, Mahir Shah, Kabir Jain, Graham Neubig, Yang You

CoRR, 2024

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models.

Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Recent advances in deep learning based dialogue systems: a systematic survey.

Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Erik Cambria

Artif. Intell. Rev., April, 2023

Attention mechanism optimization for sub-symbolic-based and neural-symbolic-based natural language processing

Jinjie Ni

PhD thesis, 2023

Logical Reasoning over Natural Language as Knowledge Representation: A Survey.

Zonglin Yang, Xinya Du, Rui Mao, Jinjie Ni, Erik Cambria

CoRR, 2023

deHuBERT: Disentangling Noise in a Self-supervised Model for Robust Speech Recognition.

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma

CoRR, 2023

Adaptive Knowledge Distillation Between Text and Speech Pre-Trained Models.

Jinjie Ni, Yukun Ma, Wen Wang, Qian Chen, Dianwen Ng, Han Lei, Trung Hieu Nguyen, Chong Zhang, Bin Ma, Erik Cambria

Proceedings of the IEEE International Conference on Acoustics, 2023

De'hubert: Disentangling Noise in a Self-Supervised Model for Robust Speech Recognition.

Dianwen Ng, Ruixi Zhang, Jia Qi Yip, Zhao Yang, Jinjie Ni, Chong Zhang, Yukun Ma, Chongjia Ni, Eng Siong Chng, Bin Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

Auxiliary Pooling Layer For Spoken Language Understanding.

Yukun Ma, Trung Hieu Nguyen, Jinjie Ni, Wen Wang, Qian Chen, Chong Zhang, Bin Ma

Proceedings of the IEEE International Conference on Acoustics, 2023

Finding the Pillars of Strength for Multi-Head Attention.

Jinjie Ni, Rui Mao, Zonglin Yang, Han Lei, Erik Cambria

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Class-Aware Representation Refinement Framework for Graph Classification.

Jiaxing Xu, Jinjie Ni, Sophi Shilpa Gururajapathy, Yiping Ke

CoRR, 2022

An Embarrassingly Simple Model for Dialogue Relation Extraction.

Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng

Proceedings of the IEEE International Conference on Acoustics, 2022

Fusing Task-Oriented and Open-Domain Dialogues in Conversational Agents.

Tom Young, Frank Xing, Vlad Pandelea, Jinjie Ni, Erik Cambria

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

HiTKG: Towards Goal-Oriented Conversations via Multi-Hierarchy Learning.

Jinjie Ni, Vlad Pandelea, Tom Young, Haicang Zhou, Erik Cambria

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Recent Advances in Deep Learning Based Dialogue Systems: A Systematic Survey.

Jinjie Ni, Tom Young, Vlad Pandelea, Fuzhao Xue, Vinay Adiga, Erik Cambria

CoRR, 2021

2019

Synthetic Sentiment Energy: Situation Assessment in Crowds.

Jinjie Ni, Hongyi Nie, Luomeng Zhang, Feng Yang

Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019