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2020 – today
- 2024
[c23]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: 7421-7454- [c22]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. EMNLP (Findings) 2024: 12758-12786 - [c21]Tao You, Zejun Li, Zhihao Fan, Cunxiang Yin, Yancheng He, Jing Cai, Jinhua Fu, Zhongyu Wei:
An Iterative Framework for Document-Level Event Argument Extraction Assisted by Long Short-Term Memory. NLPCC (2) 2024: 69-81 - [c20]Wenshuang Liu, Guoqiang Xu, Bada Ye, Xinji Luo, Yancheng He, Cunxiang Yin:
MDAN: Multi-distribution Adaptive Networks for LTV Prediction. PAKDD (3) 2024: 409-420 - [c19]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: 2081-2090 - [i11]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 abs/2402.14762 (2024) - [i10]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 abs/2403.20296 (2024) - [i9]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 abs/2406.14550 (2024) - 2023
- [c18]Dekai Sun, Yancheng He, Jiqing Han:
Using Auxiliary Tasks In Multimodal Fusion of Wav2vec 2.0 And Bert for Multimodal Emotion Recognition. ICASSP 2023: 1-5 - [c17]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: 16-28 - [i8]Dekai Sun, Yancheng He, Jiqing Han:
Using Auxiliary Tasks In Multimodal Fusion Of Wav2vec 2.0 And BERT For Multimodal Emotion Recognition. CoRR abs/2302.13661 (2023) - 2022
- [c16]Xiaofeng He, Guoqiang Xu, Cunxiang Yin, Zhongyu Wei, Yuncong Li, Yancheng He, Jing Cai:
Causal Enhanced Uplift Model. PAKDD (3) 2022: 119-131 - [c15]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: 200-211 - [c14]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: 14-24 - [c13]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: 438-444 - [i7]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 abs/2209.01963 (2022) - 2021
- [c12]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: 1236-1246 - [c11]Siyu Duan, Wei Li, Jing Cai, Yancheng He, Yunfang Wu:
Query-Variant Advertisement Text Generation with Association Knowledge. CIKM 2021: 412-421 - [c10]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: 3737-3746 - [c9]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: 3806-3816 - [c8]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. NLPCC (1) 2021: 583-594 - [c7]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: 3199-3209 - [i6]Fang Wang, Yuncong Li, Sheng-hua Zhong, Cunxiang Yin, Yancheng He:
Aspect-Sentiment-Multiple-Opinion Triplet Extraction. CoRR abs/2110.07303 (2021) - 2020
- [c6]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. WWW 2020: 2032-2043 - [i5]Bang Liu, Haojie Wei, Di Niu, Haolan Chen, Yancheng He:
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus. CoRR abs/2002.00748 (2020) - [i4]Siyu Duan, Wei Li, Cai Jing, Yancheng He, Yunfang Wu, Xu Sun:
Query-Variant Advertisement Text Generation with Association Knowledge. CoRR abs/2004.06438 (2020)
2010 – 2019
- 2019
- [c5]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: 4843-4852 - [c4]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: 6284-6294 - [c3]Fred X. Han, Di Niu, Haolan Chen, Kunfeng Lai, Yancheng He, Yu Xu:
A Deep Generative Approach to Search Extrapolation and Recommendation. KDD 2019: 1771-1779 - [c2]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: 1106-1118 - [c1]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: 2792-2798 - [i3]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 abs/1902.10418 (2019) - [i2]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 abs/1906.01231 (2019) - [i1]Wei Li, Shuheng Li, Shuming Ma, Yancheng He, Deli Chen, Xu Sun:
Recursive Graphical Neural Networks for Text Classification. CoRR abs/1909.08166 (2019)
Coauthor Index
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