Data-Driven Design of Type-2 Fuzzy Logic System by Merging Type-1 Fuzzy Logic Systems. - Chengdong Li; Li Wang; Zixiang Ding; Guiqing Zhang (ICONIP (3), 2016)

Densely Connected Bidirectional LSTM with Applications to Sentence Classification. - Zixiang Ding; Rui Xia; Jianfei Yu; Xiang Li 041; Jian Yang 003 (NLPCC (2), 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)

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 (AAAI, 2019)

Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts. - Rui Xia; Zixiang Ding (ACL (1), 2019)

RTHN: A RNN-Transformer Hierarchical Network for Emotion Cause Extraction. - Rui Xia; Mengran Zhang; Zixiang Ding (IJCAI, 2019)

Simplified Space Based Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 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)

ECPE-2D: Emotion-Cause Pair Extraction based on Joint Two-Dimensional Representation, Interaction and Prediction. - Zixiang Ding; Rui Xia; Jianfei Yu (ACL, 2020)

End-to-End Emotion-Cause Pair Extraction based on Sliding Window Multi-Label Learning. - Zixiang Ding; Rui Xia; Jianfei Yu (EMNLP (1), 2020)

Shift-Invariant Convolutional Network Search. - Nannan Li 003; Yaran Chen; Zixiang Ding; Dongbin Zhao (IJCNN, 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 (NLPCC (2), 2020)

Device Placement Optimization for Deep Neural Networks via One-shot Model and Reinforcement Learning. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (SSCI, 2020)

Efficient Neural Architecture Search: A Broad Version. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (CoRR, 2020)

Faster Gradient-based NAS Pipeline Combining Broad Scalable Architecture with Confident Learning Rate. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2020)

Heuristic Rank Selection with Progressively Searching Tensor Ring Network. - Nannan Li 003; Yu Pan 005; Yaran Chen; Zixiang Ding; Dongbin Zhao; Zenglin Xu (CoRR, 2020)

ABCP: Automatic Block-wise and Channel-wise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (CoRR, 2021)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (CoRR, 2021)

BViT: Broad Attention based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao (CoRR, 2022)

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; Zhiquan Sun; C. L. Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao (IEEE Trans. Syst. Man Cybern. Syst., 2022)

SKDBERT: Compressing BERT via Stochastic Knowledge Distillation. - Zixiang Ding; Guoqing Jiang; Shuai Zhang; Lin Guo; Wei Lin (AAAI, 2023)

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM. - Bin Yin; Junjie Xie; Yu Qin; Zixiang Ding; Zhichao Feng; Xiang Li 067; Wei Lin 022 (RecSys, 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 067; Wei Lin 016 (CoRR, 2023)

Accelerating Large Batch Training via Gradient Signal to Noise Ratio (GSNR). - Guoqing Jiang; Jinlong Liu; Zixiang Ding; Lin Guo; Wei Lin (CoRR, 2023)

Multimodal Emotion-Cause Pair Extraction in Conversations. - Fanfan Wang; Zixiang Ding; Rui Xia; Zhaoyu Li; Jianfei Yu (IEEE Trans. Affect. Comput., 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)

ABCP: Automatic Blockwise and Channelwise Network Pruning via Joint Search. - Jiaqi Li; Haoran Li 010; Yaran Chen; Zixiang Ding; Nannan Li 003; Mingjun Ma; Zicheng Duan; Dongbin Zhao (IEEE Trans. Cogn. Dev. Syst., 2023)

Stacked BNAS: Rethinking Broad Convolutional Neural Network for Neural Architecture Search. - Zixiang Ding; Yaran Chen; Nannan Li 003; Dongbin Zhao; C. L. Philip Chen (IEEE Trans. Syst. Man Cybern. Syst., 2023)

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 016 (AAAI, 2024)

BViT: Broad Attention-Based Vision Transformer. - Nannan Li 003; Yaran Chen; Weifan Li; Zixiang Ding; Dongbin Zhao; Shuai Nie (IEEE Trans. Neural Networks Learn. Syst., 2024)