Yaming Yang

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 41

Top Topics

Text Representation

Anomaly Detection

Learning To Rank

Top Venues

Publications

Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Convolution-Enhanced Evolving Attention Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Kunzhe Song, Qingfeng Sun, Can Xu, Kai Zheng, Yaming Yang
Self-Supervised Multi-Modal Sequential Recommendation. CoRR (2023)
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. ACL (1) (2023)
Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong
Multiple Connectivity Views for Session-based Recommendation. RecSys (2023)
Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
Binary Classification with Positive Labeling Sources. CIKM (2022)
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. CoRR (2022)
Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai
Graph Pointer Neural Networks. AAAI (2022)
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
Creating Training Sets via Weak Indirect Supervision. ICLR (2022)
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. ICDE (2022)
Kai Zheng, Qingfeng Sun, Yaming Yang, Fei Xu
Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection. EMNLP (Findings) (2022)
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation. WSDM (2022)
Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Convolution-enhanced Evolving Attention Networks. CoRR (2022)
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CoRR (2022)
Yujing Wang, Luoxing Xiong, Mingliang Zhang, Hui Xue, Qi Chen, Yaming Yang, Yunhai Tong, Congrui Huang, Bixiong Xu
Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection. CoLLAs (2022)
Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang
Privacy-preserving Online AutoML for Domain-Specific Face Detection. CVPR (2022)
Jiangang Bai, Yujing Wang, Hong Sun, Ruonan Wu, Tianmeng Yang, Pengfei Tang, Defu Cao, Mingliang Zhang, Yunhai Tong, Yaming Yang, Jing Bai, Ruofei Zhang, Hao Sun, Wei Shen
Enhancing Self-Attention with Knowledge-Assisted Attention Maps. NAACL-HLT (2022)
Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang
Multimodal Dialogue Response Generation. ACL (1) (2022)
Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
Binary Classification with Positive Labeling Sources. CoRR (2022)
Xupeng Miao, Nezihe Merve Gürel, Wentao Zhang, Zhichao Han, Bo Li, Wei Min, Susie Xi Rao, Hansheng Ren, Yinan Shan, Yingxia Shao, Yujie Wang, Fan Wu, Hui Xue, Yaming Yang, Zitao Zhang, Yang Zhao, Shuai Zhang, Yujing Wang, Bin Cui, Ce Zhang
DeGNN: Improving Graph Neural Networks with Graph Decomposition. KDD (2021)
Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. EACL (2021)
Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation. CoRR (2021)
Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang
Multimodal Dialogue Response Generation. CoRR (2021)
Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang
AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing. CoRR (2021)
Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Evolving Attention with Residual Convolutions. ICML (2021)
Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong
Evolving Attention with Residual Convolutions. CoRR (2021)
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner
Creating Training Sets via Weak Indirect Supervision. CoRR (2021)
Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong
Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. CoRR (2021)
Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai
Graph Pointer Neural Networks. CoRR (2021)
Jieyu Zhang, Yue Yu, NameError, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
WRENCH: A Comprehensive Benchmark for Weak Supervision. NeurIPS Datasets and Benchmarks (2021)
Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation. CoRR (2021)
Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
WRENCH: A Comprehensive Benchmark for Weak Supervision. CoRR (2021)
Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang
AutoADR: Automatic Model Design for Ad Relevance. CIKM (2020)
Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. COLING (2020)
Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang
AutoADR: Automatic Model Design for Ad Relevance. CoRR (2020)
Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai
Improving BERT with Self-Supervised Attention. CoRR (2020)
Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Yaming Yang, Quanlu Zhang, Yunhai Tong, Jing Bai
LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression. CoRR (2020)
Yuge Zhang, Quanlu Zhang, Yaming Yang
How Does Supernet Help in Neural Architecture Search? CoRR (2020)
Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang
Deeper Insights into Weight Sharing in Neural Architecture Search. CoRR (2020)
Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou
TextNAS: A Neural Architecture Search Space Tailored for Text Representation. AAAI (2020)
Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou
TextNAS: A Neural Architecture Search Space tailored for Text Representation. CoRR (2019)
Nezihe Merve Gürel, Hansheng Ren, Yujing Wang, Hui Xue, Yaming Yang, Ce Zhang
An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation. CoRR (2019)