Zixiang Ding

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 36

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Publications

Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation. AAAI (2024)
Jiaming An, Zixiang Ding, Ke Li, Rui Xia
Global-View and Speaker-Aware Emotion Cause Extraction in Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu
Multimodal Emotion-Cause Pair Extraction in Conversations. IEEE Trans. Affect. Comput. 14 (3) (2023)
Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin
SKDBERT: Compressing BERT via Stochastic Knowledge Distillation. AAAI (2023)
Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. RecSys (2023)
Zengzhi Wang, Qiming Xie, Zixiang Ding, Yi Feng, Rui Xia
Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study. CoRR (2023)
Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao
ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. IEEE Trans. Cogn. Dev. Syst. 15 (3) (2023)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 53 (9) (2023)
Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin
Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. CoRR (2023)
Guoqing Jiang, Jinlong Liu, Zixiang Ding, Lin Guo, Wei Lin
Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR). CoRR (2023)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin
SKDBERT: Compressing BERT via Stochastic Knowledge Distillation. CoRR (2022)
Nannan Li, Yaran Chen, Weifan Li, Zixiang Ding, Dongbin Zhao
BViT: Broad Attention based Vision Transformer. CoRR (2022)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. IEEE Trans. Syst. Man Cybern. Syst. 52 (10) (2022)
Jiaqi Li, Haoran Li, Yaran Chen, Zixiang Ding, Nannan Li, Mingjun Ma, Zicheng Duan, Dongbin Zhao
ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. CoRR (2021)
Fanfan Wang, Zixiang Ding, Rui Xia, Zhaoyu Li, Jianfei Yu
Multimodal Emotion-Cause Pair Extraction in Conversations. CoRR (2021)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. CoRR (2021)
Zixiang Ding, Rui Xia, Jianfei Yu
ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction. ACL (2020)
Zixiang Ding, Rui Xia, Jianfei Yu
End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning. EMNLP (1) (2020)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, C. L. Philip Chen
Efficient Neural Architecture Search: A Broad Version. CoRR (2020)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. CoRR (2020)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. SSCI (2020)
Nannan Li, Yu Pan, Yaran Chen, Zixiang Ding, Dongbin Zhao, Zenglin Xu
Heuristic Rank Selection with Progressively Searching Tensor Ring Network. CoRR (2020)
Xiao Jin, Jianfei Yu, Zixiang Ding, Rui Xia, Xiangsheng Zhou, Yaofeng Tu
Hierarchical Multimodal Transformer with Localness and Speaker Aware Attention for Emotion Recognition in Conversations. NLPCC (2) (2020)
Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao
Shift-Invariant Convolutional Network Search. IJCNN (2020)
Rui Xia, Zixiang Ding
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. ACL (1) (2019)
Rui Xia, Mengran Zhang, Zixiang Ding
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. IJCAI (2019)
Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao
Simplified Space Based Neural Architecture Search. SSCI (2019)
Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia
From Independent Prediction to Re-ordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. CoRR (2019)
Zixiang Ding, Huihui He, Mengran Zhang, Rui Xia
From Independent Prediction to Reordered Prediction: Integrating Relative Position and Global Label Information to Emotion Cause Identification. AAAI (2019)
Rui Xia, Mengran Zhang, Zixiang Ding
RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. CoRR (2019)
Rui Xia, Zixiang Ding
Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. CoRR (2019)
Chengdong Li, Zixiang Ding, Dianwei Qian, Yisheng Lv
Data-driven design of the extended fuzzy neural network having linguistic outputs. J. Intell. Fuzzy Syst. 34 (1) (2018)
Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang
Densely Connected Bidirectional LSTM with Applications to Sentence Classification. CoRR (2018)
Zixiang Ding, Rui Xia, Jianfei Yu, Xiang Li, Jian Yang
Densely Connected Bidirectional LSTM with Applications to Sentence Classification. NLPCC (2) (2018)
Chengdong Li, Li Wang, Zixiang Ding, Guiqing Zhang
Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems. ICONIP (3) (2016)