Zixiang Ding

According to our database, Zixiang Ding authored at least 31 papers between 2016 and 2024.

Collaborative distances:

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

2024

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation.

Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen

IEEE Trans. Syst. Man Cybern. Syst., September, 2023

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search.

Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao

IEEE Trans. Cogn. Dev. Syst., September, 2023

Global-View and Speaker-Aware Emotion Cause Extraction in Conversations.

Jiaming An, Zixiang Ding, Ke Li, Rui Xia

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Multimodal Emotion-Cause Pair Extraction in Conversations.

Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu

IEEE Trans. Affect. Comput., 2023

Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR).

Guoqing Jiang, Jinlong Liu, Zixiang Ding, Lin Guo, Wei Lin

CoRR, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin

CoRR, 2023

Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study.

Zengzhi Wang, Qiming Xie, Zixiang Ding, Yi Feng, Rui Xia

CoRR, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

SKDBERT: Compressing BERT via Stochastic Knowledge Distillation.

Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

IEEE Trans. Syst. Man Cybern. Syst., 2022

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2022

BViT: Broad Attention based Vision Transformer.

Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao

CoRR, 2022

2021

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

CoRR, 2021

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search.

Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao

CoRR, 2021

2020

Heuristic Rank Selection with Progressively Searching Tensor Ring Network.

Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu

CoRR, 2020

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

CoRR, 2020

Efficient Neural Architecture Search: A Broad Version.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen

CoRR, 2020

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Hierarchical Multimodal Transformer with Localness and Speaker Aware Attention for Emotion Recognition in Conversations.

Xiao Jin, Jianfei Yu, Zixiang Ding, Rui Xia, Xiangsheng Zhou, Yaofeng Tu

Proceedings of the Natural Language Processing and Chinese Computing, 2020

Shift-Invariant Convolutional Network Search.

Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning.

Zixiang Ding, Rui Xia, Jianfei Yu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction.

Zixiang Ding, Rui Xia, Jianfei Yu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification.

Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia

CoRR, 2019

Simplified Space Based Neural Architecture Search.

Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2019

RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction.

Rui Xia, Mengran Zhang, Zixiang Ding

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts.

Rui Xia, Zixiang Ding

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification.

Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Data-driven design of the extended fuzzy neural network having linguistic outputs.

Chengdong Li, Zixiang Ding, Dianwei Qian, Yisheng Lv

J. Intell. Fuzzy Syst., 2018

Densely Connected Bidirectional LSTM with Applications to Sentence Classification.

Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang

Proceedings of the Natural Language Processing and Chinese Computing, 2018

2016

Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems.

Chengdong Li, Li Wang, Zixiang Ding, Guiqing Zhang

Proceedings of the Neural Information Processing - 23rd International Conference, 2016