Yancheng He

According to our database, Yancheng He authored at least 28 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision.

Shilong Li, Yancheng He, Hui Huang, Xingyuan Bu, Jiaheng Liu, Hangyu Guo, Weixun Wang, Jihao Gu, Wenbo Su, Bo Zheng

CoRR, 2024

Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation.

Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MDAN: Multi-distribution Adaptive Networks for LTV Prediction.

Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

An Iterative Framework for Document-Level Event Argument Extraction Assisted by Long Short-Term Memory.

Tao You, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei

Proceedings of the Natural Language Processing and Chinese Computing, 2024

GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models.

Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues.

Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Online Volume Optimization for Notifications via Long Short-Term Value Modeling.

Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition.

Dekai Sun, Yancheng He, Jiqing Han

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection.

Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Modeling User Repeat Consumption Behavior for Online Novel Recommendation.

Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Learning Discriminative Representation Base on Attention for Uplift.

Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

Causal Enhanced Uplift Model.

Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps.

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen

Proceedings of the WWW '21: The Web Conference 2021, 2021

Aspect-Sentiment-Multiple-Opinion Triplet Extraction.

Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value.

Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Query-Variant Advertisement Text Generation with Association Knowledge.

Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation.

Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Align Voting Behavior with Public Statements for Legislator Representation Learning.

Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Query-Variant Advertisement Text Generation with Association Knowledge.

Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun

CoRR, 2020

Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus.

Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

Recursive Graphical Neural Networks for Text Classification.

Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun

CoRR, 2019

Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

CoRR, 2019

Learning to Generate Questions by Learning What not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

CoRR, 2019

Learning to Generate Questions by LearningWhat not to Generate.

Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu

Proceedings of the World Wide Web Conference, 2019

Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network.

Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu

Proceedings of the World Wide Web Conference, 2019

A Deep Generative Approach to Search Extrapolation and Recommendation.

Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Matching Article Pairs with Graphical Decomposition and Convolutions.

Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model.

Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019