Learning Document Embeddings by Predicting N-grams for Sentiment Classification of Long Movie Reviews. - Bofang Li; Tao Liu 001; Xiaoyong Du 001; Deyuan Zhang; Zhe Zhao 006 (CoRR, 2015)

Classifying Relation via Bidirectional Recurrent Neural Network Based on Local Information. - Xiaoyun Hou; Zhe Zhao 006; Tao Liu 001; Xiaoyong Du 001 (APWeb (1), 2016)

A Text Retrieval System Based on Distributed Representations. - Zhe Zhao 006; Tao Liu 001; Jun Chen 021; Bofang Li; Xiaoyong Du 001 (APWeb (2), 2016)

Distributed Text Representation with Weighting Scheme Guidance for Sentiment Analysis. - Zhe Zhao 006; Tao Liu 001; Xiaoyun Hou; Bofang Li; Xiaoyong Du 001 (APWeb (1), 2016)

Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification. - Bofang Li; Zhe Zhao 006; Tao Liu 001; Puwei Wang; Xiaoyong Du 001 (COLING, 2016)

Cluster-Driven Model for Improved Word and Text Embedding. - Zhe Zhao 006; Tao Liu 001; Bofang Li; Xiaoyong Du 001 (ECAI, 2016)

Neural Bag-of-Ngrams. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Puwei Wang; Xiaoyong Du 001 (AAAI, 2017)

Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Buzhou Tang; Aleksandr Drozd; Anna Rogers; Xiaoyong Du 001 (EMNLP, 2017)

Initializing Convolutional Filters with Semantic Features for Text Classification. - Shen Li; Zhe Zhao 006; Tao Liu 001; Renfen Hu; Xiaoyong Du 001 (EMNLP, 2017)

Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics. - Zhe Zhao 006; Tao Liu 001; Shen Li; Bofang Li; Xiaoyong Du 001 (EMNLP, 2017)

Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. - Zhe Zhao 006; Tao Liu 001; Shen Li; Bofang Li; Xiaoyong Du 001 (Data Sci. Eng., 2017)

Correction to: Guiding the Training of Distributed Text Representation with Supervised Weighting Scheme for Sentiment Analysis. - Zhe Zhao 006; Tao Liu 001; Shen Li; Bofang Li; Xiaoyong Du 001 (Data Sci. Eng., 2017)

Analogical Reasoning on Chinese Morphological and Semantic Relations. - Shen Li; Zhe Zhao 006; Renfen Hu; Wensi Li; Tao Liu 001; Xiaoyong Du 001 (ACL (2), 2018)

Attention-Based Recurrent Neural Network for Sequence Labeling. - Bofang Li; Tao Liu 001; Zhe Zhao 006; Xiaoyong Du 001 (APWeb/WAIM (1), 2018)

UER: An Open-Source Toolkit for Pre-training Models. - Zhe Zhao 006; Hui Chen; Jinbin Zhang; Xin Zhao; Tao Liu 001; Wei Lu 015; Xi Chen; Haotang Deng; Qi Ju 002; Xiaoyong Du 001 (EMNLP/IJCNLP (3), 2019)

K-BERT: Enabling Language Representation with Knowledge Graph. - Weijie Liu 002; Peng Zhou; Zhe Zhao 006; Zhiruo Wang; Qi Ju 002; Haotang Deng; Ping Wang 003 (AAAI, 2020)

FastBERT: a Self-distilling BERT with Adaptive Inference Time. - Weijie Liu 002; Peng Zhou; Zhiruo Wang; Zhe Zhao 006; Haotang Deng; Qi Ju 002 (ACL, 2020)

CLUE: A Chinese Language Understanding Evaluation Benchmark. - Liang Xu 011; Hai Hu; Xuanwei Zhang; Lu Li; Chenjie Cao; Yudong Li 001; Yechen Xu; Kai Sun 006; Dian Yu 001; Cong Yu 010; Yin Tian; Qianqian Dong; et al. (COLING, 2020)

Overview of the NLPCC 2021 Shared Task: AutoIE2. - Weigang Guo; Xuefeng Yang; Xingyu Bai; Taiqiang Wu; Weijie Liu 002; Zhe Zhao 006; Qi Ju 002; Yujiu Yang (NLPCC (2), 2021)

A Simple and Effective Method to Improve Zero-Shot Cross-Lingual Transfer Learning. - Kunbo Ding; Weijie Liu 002; Yuejian Fang; Weiquan Mao; Zhe Zhao 006; Tao Zhu; Haoyan Liu; Rong Tian; Yiren Chen (COLING, 2022)

CSL: A Large-scale Chinese Scientific Literature Dataset. - Yudong Li 001; Yuqing Zhang; Zhe Zhao 006; Linlin Shen; Weijie Liu 002; Weiquan Mao; Hui Zhang (COLING, 2022)

Talk2Face: A Unified Sequence-based Framework for Diverse Face Generation and Analysis Tasks. - Yudong Li 001; Xianxu Hou; Zhe Zhao 006; Linlin Shen; Xuefeng Yang; Kimmo Yan (ACM Multimedia, 2022)

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. - Kunbo Ding; Weijie Liu 002; Yuejian Fang; Zhe Zhao 006; Qi Ju 002; Xuefeng Yang; Rong Tian; Zhu Tao; Haoyan Liu; Han Guo; Xingyu Bai; Weiquan Mao; et al. (NAACL-HLT (Findings), 2022)

Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System. - Tao Zhu; Zhe Zhao 006; Weijie Liu 002; Jiachi Liu; Yiren Chen; Weiquan Mao; Haoyan Liu; Kunbo Ding; Yudong Li 001; Xuefeng Yang (NAACL-HLT (Industry Papers), 2022)

Semantic Matching from Different Perspectives. - Weijie Liu 002; Tao Zhu; Weiquan Mao; Zhe Zhao 006; Weigang Guo; Xuefeng Yang; Qi Ju 002 (CoRR, 2022)

M2HF: Multi-level Multi-modal Hybrid Fusion for Text-Video Retrieval. - Shuo Liu; Weize Quan; Ming Zhou; Sihong Chen; Jian Kang; Zhe Zhao 006; Chen Chen 001; Dong-Ming Yan 001 (CoRR, 2022)

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching. - Kunbo Ding; Weijie Liu 002; Yuejian Fang; Zhe Zhao 006; Qi Ju 002; Xuefeng Yang (CoRR, 2022)

SAMP: A Toolkit for Model Inference with Self-Adaptive Mixed-Precision. - Rong Tian; Zijing Zhao 004; Weijie Liu 002; Haoyan Liu; Weiquan Mao; Zhe Zhao 006; Kimmo Yan (CoRR, 2022)

Document-Level Event Argument Extraction With a Chain Reasoning Paradigm. - Jian Liu 032; Chen Liang; Jinan Xu; Haoyan Liu; Zhe Zhao 006 (ACL (1), 2023)

Learning with Partial Annotations for Event Detection. - Jian Liu 032; Dianbo Sui; Kang Liu 001; Haoyan Liu; Zhe Zhao 006 (ACL (1), 2023)

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities. - Zhe Zhao 006; Yudong Li 001; Cheng Hou; Jing Zhao; Rong Tian; Weijie Liu 002; Yiren Chen; Ningyuan Sun; Haoyan Liu; Weiquan Mao; Han Guo; Weigang Guo; et al. (ACL (demo), 2023)

Create and Find Flatness: Building Flat Training Spaces in Advance for Continual Learning. - Wenhang Shi; Yiren Chen; Zhe Zhao 006; Wei Lu 015; Kimmo Yan; Xiaoyong Du 001 (ECAI, 2023)

Novel Slot Detection With an Incremental Setting. - Chen Liang; Hongliang Li; Changhao Guan; Qingbin Liu; Jian Liu 032; Jinan Xu; Zhe Zhao 006 (EMNLP (Findings), 2023)

Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs. - Jian Liu 032; Weichang Liu; Yufeng Chen 005; Jinan Xu; Zhe Zhao 006 (EMNLP, 2023)

SAMP: A Model Inference Toolkit of Post-Training Quantization for Text Processing via Self-Adaptive Mixed-Precision. - Rong Tian; Zijing Zhao 004; Weijie Liu 002; Haoyan Liu; Weiquan Mao; Zhe Zhao 006; Kan Zhou (EMNLP (Industry Track), 2023)

Recouple Event Field via Probabilistic Bias for Event Extraction. - Xingyu Bai; Taiqiang Wu; Han Guo; Zhe Zhao 006; Xuefeng Yang; Jiayi Li 002; Weijie Liu 002; Qi Ju 002; Weigang Guo; Yujiu Yang (ICASSP, 2023)

An Empirical Study on Adaptive Inference for Pretrained Language Model. - Weijie Liu 002; Xin Zhao; Zhe Zhao 006; Qi Ju 002; Xuefeng Yang; Wei Lu 015 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Beyond Agreement: Diagnosing the Rationale Alignment of Automated Essay Scoring Methods based on Linguistically-informed Counterfactuals. - Yupei Wang; Renfen Hu; Zhe Zhao 006 (EMNLP (Findings), 2024)

Mixture-of-Subspaces in Low-Rank Adaptation. - Taiqiang Wu; Jiahao Wang; Zhe Zhao 006; Ngai Wong 001 (EMNLP, 2024)

Dynamic Data Sampler for Cross-Language Transfer Learning in Large Language Models. - Yudong Li 001; Yuhao Feng; Wen Zhou; Zhe Zhao 006; Linlin Shen; Cheng Hou; Xianxu Hou (ICASSP, 2024)

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code. - Jiachi Chen; Qingyuan Zhong; Yanlin Wang 001; Kaiwen Ning; Yongkun Liu; Zenan Xu; Zhe Zhao 006; Ting Chen 002; Zibin Zheng (ASE, 2024)

FLIP-80M: 80 Million Visual-Linguistic Pairs for Facial Language-Image Pre-Training. - Yudong Li 001; Xianxu Hou; Dezhi Zheng; Linlin Shen; Zhe Zhao 006 (ACM Multimedia, 2024)

Weight-Inherited Distillation for Task-Agnostic BERT Compression. - Taiqiang Wu; Cheng Hou; Shanshan Lao; Jiayi Li 002; Ngai Wong 001; Zhe Zhao 006; Yujiu Yang (NAACL-HLT (Findings), 2024)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Zhe Zhao 006; Ngai Wong 001 (CoRR, 2024)

GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE. - Ting Bai; Yue Yu 007; Le Huang; Zenan Xu; Zhe Zhao 006; Chuan Shi 001 (CoRR, 2024)

Joint Knowledge Editing for Information Enrichment and Probability Promotion. - Wenhang Shi; Yiren Chen; Shuqing Bian; Xinyi Zhang; Zhe Zhao 006; Pengfei Hu; Wei Lu 015; Xiaoyong Du 001 (AAAI, 2025)

Edge-free but Structure-aware: Prototype-Guided Knowledge Distillation from GNNs to MLPs. - Taiqiang Wu; Zhe Zhao 006; Jiahao Wang; Xingyu Bai; Lei Wang; Ngai Wong 001; Yujiu Yang (COLING, 2025)

Rethinking Kullback-Leibler Divergence in Knowledge Distillation for Large Language Models. - Taiqiang Wu; Chaofan Tao; Jiahao Wang; Runming Yang; Zhe Zhao 006; Ngai Wong 001 (COLING, 2025)

Efficient Multi-task Prompt Tuning for Recommendation. - Ting Bai; Le Huang; Yue Yu 007; Cheng Yang 002; Cheng Hou; Zhe Zhao 006; Chuan Shi 001 (ACM Trans. Inf. Syst., 2025)