Yaming Yang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
16
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao |
| 2026 | WWW | H-NeiFi: Non-Invasive and Consensus-Efficient Multi-Agent Opinion Guidance. | Shijun Guo, Haoran Xu, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyi Zhang, Yishan Song |
| 2026 | WWW | MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks. | Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan, Wei Zhao |
| 2026 | WWW | Aligning Multiple Knowledge Graphs in A Single Pass. | Yaming Yang, Zhe Wang, Ziyu Guan, Wei Zhao, Weigang Lu, Xinyan Huang, Jiangtao Cui, Xiaofei He |
| 2026 | WWW | Beyond Single-Granularity Prompts: A Multi-Scale Chain-of-Thought Prompt Learning for Graph. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Xinyan Huang, Weigang Lu |
| 2025 | AAAI | MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning. | Yaming Yang, Dilxat Muhtar, Yelong Shen, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Weizhu Chen, Yunhai Tong |
| 2025 | AAAI | AGMixup: Adaptive Graph Mixup for Semi-supervised Node Classification. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yibing Zhan, Yiheng Lu, Dapeng Tao |
| 2025 | CIKM | Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing. | Zhe Wang, Ziyu Guan, Yujian Cao, Yaming Yang, Rui Wang, Bin Tong, Wei Zhao, Hongbo Deng |
| 2025 | CIKM | Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing. | Zhe Wang, Yaming Yang, Ziyu Guan, Bin Tong, Rui Wang, Wei Zhao, Hongbo Deng |
| 2025 | EMNLP | 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 |
| 2025 | ICDE | SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks (Extended Abstract). | Weigang Lu, Yibing Zhan, Binbin Lin, Ziyu Guan, Liu Liu, Baosheng Yu, Wei Zhao, Yaming Yang, Dacheng Tao |
| 2025 | ICDE | A Translation-Based Heterogeneous Graph Neural Network for Multiple Knowledge Graphs Alignment. | Yaming Yang, Zhuofeng Luo, Zhe Wang, Weigang Lu, Yiheng Lu, Ziyu Guan, Wei Zhao, Yuanhai Lv |
| 2025 | KDD | Discrepancy-Aware Graph Mask Auto-Encoder. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2025 | KDD | Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs. | Ziyu Zheng, Yaming Yang, Ziyu Guan, Wei Zhao, Weigang Lu |
| 2024 | AAAI | Entropy Induced Pruning Framework for Convolutional Neural Networks. | Yiheng Lu, Ziyu Guan, Yaming Yang, Wei Zhao, Maoguo Gong, Cai Xu |
| 2024 | AAAI | NodeMixup: Tackling Under-Reaching for Graph Neural Networks. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin |
| 2024 | CIKM | 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 |
| 2024 | IJCNN | Collaborative Multi-Task Representation for Natural Language Understanding. | Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang |
| 2024 | IJCNN | 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 |
| 2024 | KDD | AdaGMLP: AdaBoosting GNN-to-MLP Knowledge Distillation. | Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang |
| 2023 | AAAI | Progressive Deep Multi-View Comprehensive Representation Learning. | Cai Xu, Wei Zhao, Jinglong Zhao, Ziyu Guan, Yaming Yang, Long Chen, Xiangyu Song |
| 2023 | ACL | 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 |
| 2023 | ACL | Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners. | Kai Zheng, Qingfeng Sun, Yaming Yang, Tengchao Lv, Yeyong Pi, Changlin Zhao, Fei Xu, Qi Zhang |
| 2023 | RecSys | Multiple Connectivity Views for Session-based Recommendation. | Yaming Yang, Jieyu Zhang, Yujing Wang, Zheng Miao, Yunhai Tong |
| 2022 | AAAI | Graph Pointer Neural Networks. | Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai |
| 2022 | ACL | Multimodal Dialogue Response Generation. | Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang |
| 2022 | CIKM | Binary Classification with Positive Labeling Sources. | Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner |
| 2022 | CVPR | Privacy-preserving Online AutoML for Domain-Specific Face Detection. | Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang |
| 2022 | EMNLP | Knowledge Stimulated Contrastive Prompting for Low-Resource Stance Detection. | Kai Zheng, Qingfeng Sun, Yaming Yang, Fei Xu |
| 2022 | ICDE | Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. | Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King |
| 2022 | ICLR | Creating Training Sets via Weak Indirect Supervision. | Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner |
| 2022 | NAACL | 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 |
| 2022 | WSDM | 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 |
| 2021 | EACL | Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees. | Jiangang Bai, Yujing Wang, Yiren Chen, Yaming Yang, Jing Bai, Jing Yu, Yunhai Tong |
| 2021 | ICML | Evolving Attention with Residual Convolutions. | Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong |
| 2021 | KDD | DeGNN: Improving Graph Neural Networks with Graph Decomposition. | Xupeng Miao, Nezihe Merve Grel, 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 |
| 2020 | AAAI | 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 |
| 2020 | CIKM | 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 |
| 2020 | COLING | 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 |