Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets. - Li Dong 004; Furu Wei; Yichun Yin; Ming Zhou 001; Ke Xu 001 (SemEval@NAACL-HLT, 2015)

Unsupervised Word and Dependency Path Embeddings for Aspect Term Extraction. - Yichun Yin; Furu Wei; Li Dong 004; Kaimeng Xu; Ming Zhang 004; Ming Zhou 001 (IJCAI, 2016)

Document-Level Multi-Aspect Sentiment Classification as Machine Comprehension. - Yichun Yin; Yangqiu Song; Ming Zhang 004 (EMNLP, 2017)

Socialized Word Embeddings. - Ziqian Zeng; Yichun Yin; Yangqiu Song; Ming Zhang 004 (IJCAI, 2017)

NNEMBs at SemEval-2017 Task 4: Neural Twitter Sentiment Classification: a Simple Ensemble Method with Different Embeddings. - Yichun Yin; Yangqiu Song; Ming Zhang 004 (SemEval@ACL, 2017)

More Chinese women needed to hold up half the computing sky. - Ming Zhang 004; Yichun Yin (ACM TUR-C, 2019)

Dialog State Tracking with Reinforced Data Augmentation. - Yichun Yin; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Qun Liu 001 (AAAI, 2020)

PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction. - Yichun Yin; Chenguang Wang 001; Ming Zhang 004 (COLING, 2020)

TinyBERT: Distilling BERT for Natural Language Understanding. - Xiaoqi Jiao; Yichun Yin; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Linlin Li 001; Fang Wang 001; Qun Liu 001 (EMNLP (Findings), 2020)

TernaryBERT: Distillation-aware Ultra-low Bit BERT. - Wei Zhang 196; Lu Hou 002; Yichun Yin; Lifeng Shang; Xiao Chen 012; Xin Jiang 002; Qun Liu 001 (EMNLP (1), 2020)

The Solution of Huawei Cloud & Noah's Ark Lab to the NLPCC-2020 Challenge: Light Pre-Training Chinese Language Model for NLP Task. - Yuyang Zhang; Jintao Yu; Kai Wang; Yichun Yin; Cheng Chen; Qun Liu 001 (NLPCC (2), 2020)

AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models. - Yichun Yin; Cheng Chen; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Qun Liu 001 (ACL/IJCNLP (1), 2021)

Generate & Rank: A Multi-task Framework for Math Word Problems. - Jianhao Shen; Yichun Yin; Lin Li; Lifeng Shang; Xin Jiang 002; Ming Zhang 004; Qun Liu 001 (EMNLP (Findings), 2021)

Extract then Distill: Efficient and Effective Task-Agnostic BERT Distillation. - Cheng Chen; Yichun Yin; Lifeng Shang; Zhi Wang; Xin Jiang 002; Xiao Chen 012; Qun Liu 001 (ICANN (3), 2021)

LightMBERT: A Simple Yet Effective Method for Multilingual BERT Distillation. - Xiaoqi Jiao; Yichun Yin; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Linlin Li 001; Fang Wang 001; Qun Liu 001 (CoRR, 2021)

Integrating Regular Expressions with Neural Networks via DFA. - Shaobo Li 004; Qun Liu 001; Xin Jiang 002; Yichun Yin; Chengjie Sun; Bingquan Liu; Zhenzhou Ji; Lifeng Shang (CoRR, 2021)

Improving task-agnostic BERT distillation with layer mapping search. - Xiaoqi Jiao; Huating Chang; Yichun Yin; Lifeng Shang; Xin Jiang 002; Xiao Chen 012; Linlin Li 001; Fang Wang 001; Qun Liu 001 (Neurocomputing, 2021)

bert2BERT: Towards Reusable Pretrained Language Models. - Cheng Chen; Yichun Yin; Lifeng Shang; Xin Jiang 002; Yujia Qin; Fengyu Wang; Zhi Wang; Xiao Chen 012; Zhiyuan Liu 001; Qun Liu 001 (ACL (1), 2022)

FPT: Improving Prompt Tuning Efficiency via Progressive Training. - Yufei Huang 008; Yujia Qin; Huadong Wang; Yichun Yin; Maosong Sun 001; Zhiyuan Liu 001; Qun Liu 001 (EMNLP (Findings), 2022)

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. - Zhongwei Wan; Yichun Yin; Wei Zhang 196; Jiaxin Shi; Lifeng Shang; Guangyong Chen; Xin Jiang 002; Qun Liu 001 (EMNLP, 2022)

NewsDialogues: Towards Proactive News Grounded Conversation. - Siheng Li; Yichun Yin; Cheng Yang 002; Wangjie Jiang; Yiwei Li; Zesen Cheng; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Yujiu Yang (ACL (Findings), 2023)

AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models. - Siheng Li; Cheng Yang 002; Yichun Yin; Xinyu Zhu; Zesen Cheng; Lifeng Shang; Xin Jiang 002; Qun Liu 001; Yujiu Yang (ACL (2), 2023)

One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems. - Yajiao Liu; Xin Jiang 002; Yichun Yin; Yasheng Wang; Fei Mi; Qun Liu 001; Xiang Wan; Benyou Wang (ACL (1), 2023)

DT-Solver: Automated Theorem Proving with Dynamic-Tree Sampling Guided by Proof-level Value Function. - Haiming Wang; Ye Yuan; Zhengying Liu; Jianhao Shen; Yichun Yin; Jing Xiong; Enze Xie; Han Shi; Yujun Li; Lin Li; Jian Yin 001; Zhenguo Li; et al. (ACL (1), 2023)

TRIGO: Benchmarking Formal Mathematical Proof Reduction for Generative Language Models. - Jing Xiong; Jianhao Shen; Ye Yuan 016; Haiming Wang; Yichun Yin; Zhengying Liu; Lin Li; Zhijiang Guo; Qingxing Cao; Yinya Huang; Chuanyang Zheng; Xiaodan Liang; et al. (EMNLP, 2023)

Reusing Pretrained Models by Multi-linear Operators for Efficient Training. - Yu Pan 005; Ye Yuan 016; Yichun Yin; Zenglin Xu; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (NeurIPS, 2023)

FIMO: A Challenge Formal Dataset for Automated Theorem Proving. - Chengwu Liu 001; Jianhao Shen; Huajian Xin; Zhengying Liu; Ye Yuan 016; Haiming Wang; Wei Ju 001; Chuanyang Zheng; Yichun Yin; Lin Li; Ming Zhang 004; Qun Liu 001 (CoRR, 2023)

Preparing Lessons for Progressive Training on Language Models. - Yu Pan 005; Ye Yuan 016; Yichun Yin; Jiaxin Shi; Zenglin Xu; Ming Zhang 004; Lifeng Shang; Xin Jiang 002; Qun Liu 001 (AAAI, 2024)

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning. - Jing Xiong; Zixuan Li; Chuanyang Zheng; Zhijiang Guo; Yichun Yin; Enze Xie; Zhicheng Yang; Qingxing Cao; Haiming Wang; Xiongwei Han; Jing Tang 004; Chengming Li; et al. (ICLR, 2024)

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. - Xiangyang Li; Kuicai Dong; Yi Quan Lee; Wei Xia 001; Yichun Yin; Hao Zhang 048; Yong Liu 020; Yasheng Wang; Ruiming Tang (CoRR, 2024)

Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification. - Chengwu Liu 001; Ye Yuan 016; Yichun Yin; Yan Xu; Xin Xu; Zaoyu Chen; Yasheng Wang; Lifeng Shang; Qun Liu 001; Ming Zhang 004 (ACL (1), 2025)

Optical Mie Scattering Concentration-Dynamics Tracer Joint Detection Method for Micron-Nano Dust in GIS/GIL Systems. - Xuan Li; Feichen Zhang; Yichun Yin; Yuan Wang; Naifan Xue; Jian Wang 091; Hanwen Ren; Qingmin Li (IEEE Trans. Instrum. Meas., 2025)

Teaching LLMs According to Their Aptitude: Adaptive Reasoning for Mathematical Problem Solving. - Xin Xu; Yan Xu; Tianhao Chen; Yuchen Yan; Chengwu Liu 001; Zaoyu Chen; Yufei Wang 005; Yichun Yin; Yasheng Wang; Lifeng Shang; Qun Liu 001 (CoRR, 2025)

Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs. - Yichun Yin; Wenyong Huang; Kaikai Song; Yehui Tang; Xueyu Wu; Wei Guo 006; Peng Guo; Yaoyuan Wang; Xiaojun Meng; Yasheng Wang; Dong Li 016; Can Chen; et al. (CoRR, 2025)

Pangu Ultra MoE: How to Train Your Big MoE on Ascend NPUs. - Yehui Tang; Yichun Yin; Yaoyuan Wang; Hang Zhou; Yu Pan; Wei Guo 006; Zhiguo Zhang; Miao Rang; Fangcheng Liu; Naifu Zhang; Binghan Li; Yonghan Dong; et al. (CoRR, 2025)

Pangu Light: Weight Re-Initialization for Pruning and Accelerating LLMs. - Hanting Chen; Jiarui Qin; Jialong Guo; Tao Yuan; Yichun Yin; Huiling Zhen; Yasheng Wang; Jinpeng Li 004; Xiaojun Meng; Meng Zhang; Rongju Ruan; Zheyuan Bai; et al. (CoRR, 2025)