Yanfang Ye

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 55

Top Topics

Question Answering

Supervised Learning

Graph Representation

Top Venues

Publications

Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
Graph Cross Supervised Learning via Generalized Knowledge. KDD (2024)
Zhongyu Ouyang, Chunhui Zhang, Shifu Hou, Chuxu Zhang, Yanfang Ye
How to Improve Representation Alignment and Uniformity in Graph-Based Collaborative Filtering? ICWSM (2024)
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
Tackling Negative Transfer on Graphs. CoRR (2024)
Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chao Zhang, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao
TrustLLM: Trustworthiness in Large Language Models. CoRR (2024)
Bo Yan, Cheng Yang, Chuan Shi, Yong Fang, Qi Li, Yanfang Ye, Junping Du
Graph Mining for Cybersecurity: A Survey. ACM Trans. Knowl. Discov. Data 18 (2) (2024)
Zhengqing Yuan, Rong Zhou, Hongyi Wang, Lifang He, Yanfang Ye, Lichao Sun
ViT-1.58b: Mobile Vision Transformers in the 1-bit Era. CoRR (2024)
Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Jasmine White, Vincent Galassi, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. KDD (2024)
Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li
An Empathy-Based Sandbox Approach to Bridge the Privacy Gap among Attitudes, Goals, Knowledge, and Behaviors. CHI (2024)
Yiyue Qian, Tianyi Ma, Chuxu Zhang, Yanfang Ye
Dual-level Hypergraph Contrastive Learning with Adaptive Temperature Enhancement. WWW (Companion Volume) (2024)
Zehong Wang, Zheyuan Zhang, Chuxu Zhang, Yanfang Ye
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision. CoRR (2024)
Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR (2024)
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
How Does Message Passing Improve Collaborative Filtering? CoRR (2024)
Zheyuan Zhang, Zehong Wang, Shifu Hou, Evan Hall, Landon Bachman, Vincent Galassi, Jasmine White, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns. CoRR (2024)
Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye, Minglei Yin
Knowledge-prompted ChatGPT: Enhancing drug trafficking detection on social media. Inf. Manag. 61 (7) (2024)
Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW (2023)
Tianyi Ma, Yiyue Qian, Chuxu Zhang, Yanfang Ye
Hypergraph Contrastive Learning for Drug Trafficking Community Detection. ICDM (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. CoRR (2023)
Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML (2023)
Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR (2023)
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation. NeurIPS (2023)
Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. AAAI (2023)
Chuanbo Hu, Bin Liu, Yanfang Ye, Xin Li
Fine-grained classification of drug trafficking based on Instagram hashtags. Decis. Support Syst. 165 (2023)
Chaoran Chen, Weijun Li, Wenxin Song, Yanfang Ye, Yaxing Yao, Toby Jia-Jun Li
An Empathy-Based Sandbox Approach to Bridge Attitudes, Goals, Knowledge, and Behaviors in the Privacy Paradox. CoRR (2023)
Chuanbo Hu, Bin Liu, Xin Li, Yanfang Ye
Unveiling the Potential of Knowledge-Prompted ChatGPT for Enhancing Drug Trafficking Detection on Social Media. CoRR (2023)
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Mind the Gap: Mitigating the Distribution Gap in Graph Few-shot Learning. Trans. Mach. Learn. Res. 2023 (2023)
Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Self-Supervised Graph Structure Refinement for Graph Neural Networks. WSDM (2023)
Qianlong Wen, Jiazheng Li, Chuxu Zhang, Yanfang Ye
A Multi-Modality Framework for Drug-Drug Interaction Prediction by Harnessing Multi-source Data. CIKM (2023)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. ICLR (2023)
Ruijia Wang, Chuan Shi, Tianyu Zhao, Xiao Wang, Yanfang Ye
Heterogeneous Information Network Embedding With Adversarial Disentangler. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Xiao Wang, Deyu Bo, Chuan Shi, Shaohua Fan, Yanfang Ye, Philip S. Yu
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources. IEEE Trans. Big Data 9 (2) (2023)
Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye
Leveraging Comment Retrieval for Code Summarization. ECIR (2) (2023)
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William Wuest, Amarda Shehu, Liang Zhao
Multi-objective Deep Data Generation with Correlated Property Control. CoRR (2022)
Yiyue Qian, Yiming Zhang, Nitesh V. Chawla, Yanfang Ye, Chuxu Zhang
Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning. CIKM (2022)
Yiyue Qian, Chunhui Zhang, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Co-Modality Graph Contrastive Learning for Imbalanced Node Classification. NeurIPS (2022)
Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR (2022)
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. CoRR (2022)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
Adaptive Kernel Graph Neural Network. AAAI (2022)
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
Disentangled Spatiotemporal Graph Generative Models. AAAI (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. EMNLP (Findings) (2022)
Chunhui Zhang, Hongfu Liu, Jundong Li, Yanfang Ye, Chuxu Zhang
Contrastive Graph Few-Shot Learning. CoRR (2022)
Yiyue Qian, Yiming Zhang, Qianlong Wen, Yanfang Ye, Chuxu Zhang
Rep2Vec: Repository Embedding via Heterogeneous Graph Adversarial Contrastive Learning. KDD (2022)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. SDM (2022)
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
Few-Shot Learning on Graphs. IJCAI (2022)
Yiming Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Adapting Distilled Knowledge for Few-shot Relation Reasoning over Knowledge Graphs. SDM (2022)
Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye
Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. CoRR (2022)
Chunhui Zhang, Chao Huang, Youhuan Li, Xiangliang Zhang, Yanfang Ye, Chuxu Zhang
Look Twice as Much as You Say: Scene Graph Contrastive Learning for Self-Supervised Image Caption Generation. CIKM (2022)
Qianlong Wen, Zhongyu Ouyang, Jianfei Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Disentangled Dynamic Heterogeneous Graph Learning for Opioid Overdose Prediction. KDD (2022)
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. CoRR (2022)
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Petersen, Austin Leitgeb, Saleh Alkhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
Multi-objective Deep Data Generation with Correlated Property Control. NeurIPS (2022)
Shifu Hou, Lingwei Chen, Yanfang Ye
Summarizing Source Code from Structure and Context. IJCNN (2022)
Yiding Zhang, Xiao Wang, Chuan Shi, Xunqiang Jiang, Yanfang Ye
Hyperbolic Graph Attention Network. IEEE Trans. Big Data 8 (6) (2022)
Qianlong Wen, Zhongyu Ouyang, Chunhui Zhang, Yiyue Qian, Yanfang Ye, Chuxu Zhang
Adversarial Cross-View Disentangled Graph Contrastive Learning. CoRR (2022)
Jianfei Zhang, Ai-Te Kuo, Jianan Zhao, Qianlong Wen, Erin L. Winstanley, Chuxu Zhang, Yanfang Ye
Rx-refill Graph Neural Network to Reduce Drug Overprescribing Risks (Extended Abstract). IJCAI (2022)
Chuxu Zhang, Kaize Ding, Jundong Li, Xiangliang Zhang, Yanfang Ye, Nitesh V. Chawla, Huan Liu
Few-Shot Learning on Graphs: A Survey. CoRR (2022)
Yiyue Qian, Yiming Zhang, Yanfang Ye, Chuxu Zhang
Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media. NeurIPS (2021)