Yancheng He

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Multimodal Fusion

Top Venues

Publications

Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin
MDAN: Multi-distribution Adaptive Networks for LTV Prediction. PAKDD (3) (2024)
Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. SIGIR (2024)
Shilong Li, Yancheng He, Hangyu Guo, Xingyuan Bu, Ge Bai, Jie Liu, Jiaheng Liu, Xingwei Qu, Yangguang Li, Wanli Ouyang, Wenbo Su, Bo Zheng
GraphReader: Building Graph-based Agent to Enhance Long-Context Abilities of Large Language Models. CoRR (2024)
Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. CoRR (2024)
Ge Bai, Jie Liu, Xingyuan Bu, Yancheng He, Jiaheng Liu, Zhanhui Zhou, Zhuoran Lin, Wenbo Su, Tiezheng Ge, Bo Zheng, Wanli Ouyang
MT-Bench-101: A Fine-Grained Benchmark for Evaluating Large Language Models in Multi-Turn Dialogues. ACL (1) (2024)
Hanyu Li, Weizhi Ma, Peijie Sun, Jiayu Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Min Zhang, Shaoping Ma
Aiming at the Target: Filter Collaborative Information for Cross-Domain Recommendation. CoRR (2024)
Yuchen Zhang, Mingjun Zhao, Chenglin Li, Weiyu Tou, Haolan Chen, Di Niu, Cunxiang Yin, Yancheng He, Fei Guo
Online Volume Optimization for Notifications via Long Short-Term Value Modeling. PAKDD (3) (2023)
Dekai Sun, Yancheng He, Jiqing Han
Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition. CoRR (2023)
Dekai Sun, Yancheng He, Jiqing Han
Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition. ICASSP (2023)
Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. RecSys (2022)
Guoqiang Xu, Cunxiang Yin, Yuchen Zhang, Yuncong Li, Yancheng He, Jing Cai, Zhongyu Wei
Learning Discriminative Representation Base on Attention for Uplift. PAKDD (3) (2022)
Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai
Causal Enhanced Uplift Model. PAKDD (3) (2022)
Yuncong Li, Cunxiang Yin, Yancheng He, Guoqiang Xu, Jing Cai, Leeven Luo, Sheng-hua Zhong
Modeling User Repeat Consumption Behavior for Online Novel Recommendation. CoRR (2022)
Zihang Liu, Yancheng He, Feiqing Zhuang, Bing Xu
HITMI&T at SemEval-2022 Task 4: Investigating Task-Adaptive Pretraining And Attention Mechanism On PCL Detection. SemEval@NAACL (2022)
Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu
Query-Variant Advertisement Text Generation with Association Knowledge. CIKM (2021)
Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xingji Luo, Cunxiang Yin, Jing Cai, Yancheng He
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value. KDD (2021)
Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo, Ji-Rong Wen
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps. WWW (2021)
Xinyi Mou, Zhongyu Wei, Lei Chen, Shangyi Ning, Yancheng He, Changjian Jiang, Xuanjing Huang
Align Voting Behavior with Public Statements for Legislator Representation Learning. ACL/IJCNLP (1) (2021)
Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. CoRR (2021)
Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. NLPCC (1) (2021)
Shuqing Bian, Wayne Xin Zhao, Kun Zhou, Jing Cai, Yancheng He, Cunxiang Yin, Ji-Rong Wen
Contrastive Curriculum Learning for Sequential User Behavior Modeling via Data Augmentation. CIKM (2021)
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW (2020)
Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun
Query-Variant Advertisement Text Generation with Association Knowledge. CoRR (2020)
Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR (2020)
Bang Liu, Di Niu, Haojie Wei, Jinghong Lin, Yancheng He, Kunfeng Lai, Yu Xu
Matching Article Pairs with Graphical Decomposition and Convolutions. ACL (1) (2019)
Fred X. Han, Di Niu, Kunfeng Lai, Weidong Guo, Yancheng He, Yu Xu
Inferring Search Queries from Web Documents via a Graph-Augmented Sequence to Attention Network. WWW (2019)
Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu
Learning to Generate Questions by LearningWhat not to Generate. WWW (2019)
Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model. CoRR (2019)
Wei Li, Jingjing Xu, Yancheng He, Shengli Yan, Yunfang Wu, Xu Sun
Coherent Comments Generation for Chinese Articles with a Graph-to-Sequence Model. ACL (1) (2019)
Bang Liu, Mingjun Zhao, Di Niu, Kunfeng Lai, Yancheng He, Haojie Wei, Yu Xu
Learning to Generate Questions by Learning What not to Generate. CoRR (2019)
Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun
Recursive Graphical Neural Networks for Text Classification. CoRR (2019)
Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu
A Deep Generative Approach to Search Extrapolation and Recommendation. KDD (2019)