Building an Ellipsis-aware Chinese Dependency Treebank for Web Text. - Xuancheng Ren; Xu Sun 001; Ji Wen; Bingzhen Wei; Weidong Zhan; Zhiyuan Zhang 001 (LREC, 2018)

Automatic Transferring between Ancient Chinese and Contemporary Chinese. - Zhiyuan Zhang 001; Wei Li 101; Xu Sun 001 (CoRR, 2018)

Understanding and Improving Layer Normalization. - Jingjing Xu 001; Xu Sun 001; Zhiyuan Zhang 001; Guangxiang Zhao; Junyang Lin (NeurIPS, 2019)

Automatic Translating Between Ancient Chinese and Contemporary Chinese with Limited Aligned Corpora. - Zhiyuan Zhang 001; Wei Li 101; Qi Su 001 (NLPCC (2), 2019)

Memorized Sparse Backpropagation. - Zhiyuan Zhang 001; Pengcheng Yang; Xuancheng Ren; Xu Sun 001 (CoRR, 2019)

MUSE: Parallel Multi-Scale Attention for Sequence to Sequence Learning. - Guangxiang Zhao; Xu Sun 001; Jingjing Xu 001; Zhiyuan Zhang 001; Liangchen Luo (CoRR, 2019)

Explicit Sparse Transformer: Concentrated Attention Through Explicit Selection. - Guangxiang Zhao; Junyang Lin; Zhiyuan Zhang 001; Xuancheng Ren; Qi Su 001; Xu Sun 001 (CoRR, 2019)

Rethinking Skip Connection with Layer Normalization. - Fenglin Liu; Xuancheng Ren; Zhiyuan Zhang 001; Xu Sun 001; Yuexian Zou (COLING, 2020)

Pretrain-KGE: Learning Knowledge Representation from Pretrained Language Models. - Zhiyuan Zhang 001; Xiaoqian Liu; Yi Zhang 050; Qi Su 001; Xu Sun 001; Bin He (EMNLP (Findings), 2020)

Learning Robust Representation for Clustering through Locality Preserving Variational Discriminative Network. - Ruixuan Luo; Wei Li 101; Zhiyuan Zhang 001; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (CoRR, 2020)

Memorized sparse backpropagation. - Zhiyuan Zhang 001; Pengcheng Yang; Xuancheng Ren; Qi Su 001; Xu Sun 001 (Neurocomputing, 2020)

Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption. - Xu Sun 001; Zhiyuan Zhang 001; Xuancheng Ren; Ruixuan Luo; Liangyou Li (AAAI, 2021)

Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models. - Wenkai Yang; Lei Li 039; Zhiyuan Zhang 001; Xuancheng Ren; Xu Sun 001; Bin He (NAACL-HLT, 2021)

Neural Network Surgery: Injecting Data Patterns into Pre-trained Models with Minimal Instance-wise Side Effects. - Zhiyuan Zhang 001; Xuancheng Ren; Qi Su 001; Xu Sun 001; Bin He (NAACL-HLT, 2021)

Rethinking Skip Connection with Layer Normalization in Transformers and ResNets. - Fenglin Liu; Xuancheng Ren; Zhiyuan Zhang 001; Xu Sun 001; Yuexian Zou (CoRR, 2021)

ASAT: Adaptively Scaled Adversarial Training in Time Series. - Zhiyuan Zhang 001; Wei Li 089; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun 001 (CoRR, 2021)

Adversarial parameter defense by multi-step risk minimization. - Zhiyuan Zhang 001; Ruixuan Luo; Xuancheng Ren; Qi Su 001; Liangyou Li; Xu Sun 001 (Neural Networks, 2021)

Expose Backdoors on the Way: A Feature-Based Efficient Defense against Textual Backdoor Attacks. - Sishuo Chen; Wenkai Yang; Zhiyuan Zhang 001; Xiaohan Bi; Xu Sun 001 (EMNLP (Findings), 2022)

Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation. - Zhiyuan Zhang 001; Qi Su 001; Xu Sun 001 (EMNLP (Findings), 2022)

GA-SAM: Gradient-Strength based Adaptive Sharpness-Aware Minimization for Improved Generalization. - Zhiyuan Zhang 001; Ruixuan Luo; Qi Su 001; Xu Sun 001 (EMNLP, 2022)

Fine-mixing: Mitigating Backdoors in Fine-tuned Language Models. - Zhiyuan Zhang 001; Lingjuan Lyu; Xingjun Ma; Chenguang Wang 001; Xu Sun 001 (EMNLP (Findings), 2022)

How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data. - Zhiyuan Zhang 001; Lingjuan Lyu; Weiqiang Wang; Lichao Sun 001; Xu Sun 001 (ICLR, 2022)

Stock Trading Volume Prediction with Dual-Process Meta-Learning. - Ruibo Chen; Wei Li 089; Zhiyuan Zhang 001; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (ECML/PKDD (6), 2022)

Distributional Correlation-Aware Knowledge Distillation for Stock Trading Volume Prediction. - Lei Li 039; Zhiyuan Zhang 001; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (ECML/PKDD (6), 2022)

Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. - Zhiyuan Zhang 001; Deli Chen; Hao Zhou 012; Fandong Meng; Jie Zhou 016; Xu Sun 001 (ACL (Findings), 2023)

Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. - Zhiyuan Zhang 001; Deli Chen; Hao Zhou 012; Fandong Meng; Jie Zhou 016; Xu Sun 001 (NeurIPS, 2023)

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction. - Ruibo Chen; Zhiyuan Zhang 001; Yi Liu; Ruihan Bao; Keiko Harimoto; Xu Sun 001 (CoRR, 2023)

ASAT: Adaptively scaled adversarial training in time series. - Zhiyuan Zhang 001; Wei Li 101; Ruihan Bao; Keiko Harimoto; Yunfang Wu; Xu Sun 001 (Neurocomputing, 2023)

Enhancing Byzantine-Resistant Aggregations with Client Embedding. - Zhiyuan Zhang 001; Hao Zhou 012; Fandong Meng; Jie Zhou 016; Xu Sun 001 (EMNLP (Findings), 2024)