Yaming Yang

According to our database, Yaming Yang authored at least 34 papers between 2019 and 2024.

Collaborative distances:

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

2024

Token-level Proximal Policy Optimization for Query Generation.

Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang

CoRR, 2024

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.

Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Denvy Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong

CoRR, 2024

RLRF4Rec: Reinforcement Learning from Recsys Feedback for Enhanced Recommendation Reranking.

Chao Sun, Yaobo Liang, Yaming Yang, Shilin Xu, Tianmeng Yang, Yunhai Tong

CoRR, 2024

Characteristic-Aware Time-Series Representation Learning for Unsupervised Anomaly Detection.

Yaming Yang, Zhuo Li, Pingping Lin, Juanyong Duan, Hao Zhang, Tianmeng Yang, Congrui Huang, Zhengjie Lin, Yunhai Tong, Yujing Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Collaborative Multi-Task Representation for Natural Language Understanding.

Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning.

Tianmeng Yang, Jiahao Meng, Min Zhou, Yaming Yang, Yujing Wang, Xiangtai Li, Yunhai Tong

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Convolution-Enhanced Evolving Attention Networks.

Yujing Wang, Yaming Yang, Zhuo Li, Jiangang Bai, Mingliang Zhang, Xiangtai Li, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Self-Supervised Multi-Modal Sequential Recommendation.

Kunzhe Song, Qingfeng Sun, Can Xu, Kai Zheng, Yaming Yang

CoRR, 2023

Multiple Connectivity Views for Session-based Recommendation.

Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation.

Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.

Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Creating Training Sets via Weak Indirect Supervision.

Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

Proceedings of the Tenth International Conference on Learning Representations, 2022

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation.

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection.

Kai Zheng, Qingfeng Sun, Yaming Yang, Fei Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Privacy-preserving Online AutoML for Domain-Specific Face Detection.

Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection.

Yujing Wang, Luoxing Xiong, Mingliang Zhang, Hui Xue, Qi Chen, Yaming Yang, Yunhai Tong, Congrui Huang, Bixiong Xu

Proceedings of the Conference on Lifelong Learning Agents, 2022

Binary Classification with Positive Labeling Sources.

Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multimodal Dialogue Response Generation.

Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Graph Pointer Neural Networks.

Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.

Jiayan Guo, Yaming Yang, Xiangchen Song, Yuan Zhang, Yujing Wang, Jing Bai, Yan Zhang

CoRR, 2021

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Recommendation.

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King

CoRR, 2021

AceNAS: Learning to Rank Ace Neural Architectures with Weak Supervision of Weight Sharing.

Yuge Zhang, Chenqian Yan, Quanlu Zhang, Li Lyna Zhang, Yaming Yang, Xiaotian Gao, Yuqing Yang

CoRR, 2021

WRENCH: A Comprehensive Benchmark for Weak Supervision.

Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.

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

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

Evolving Attention with Residual Convolutions.

Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

Proceedings of the 38th International Conference on Machine Learning, 2021

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees.

Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

How Does Supernet Help in Neural Architecture Search?

Yuge Zhang, Quanlu Zhang, Yaming Yang

CoRR, 2020

Improving BERT with Self-Supervised Attention.

Xiaoyu Kou, Yaming Yang, Yujing Wang, Ce Zhang, Yiren Chen, Yunhai Tong, Yan Zhang, Jing Bai

CoRR, 2020

Deeper Insights into Weight Sharing in Neural Architecture Search.

Yuge Zhang, Zejun Lin, Junyang Jiang, Quanlu Zhang, Yujing Wang, Hui Xue, Chen Zhang, Yaming Yang

CoRR, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.

Yihuan Mao, Yujing Wang, Chufan Wu, Chen Zhang, Yang Wang, Quanlu Zhang, Yaming Yang, Yunhai Tong, Jing Bai

Proceedings of the 28th International Conference on Computational Linguistics, 2020

AutoADR: Automatic Model Design for Ad Relevance.

Yiren Chen, Yaming Yang, Hong Sun, Yujing Wang, Yu Xu, Wei Shen, Rong Zhou, Yunhai Tong, Jing Bai, Ruofei Zhang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TextNAS: A Neural Architecture Search Space Tailored for Text Representation.

Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation.

Nezihe Merve Gürel, Hansheng Ren, Yujing Wang, Hui Xue, Yaming Yang, Ce Zhang

CoRR, 2019