Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
Fanghua Ye, Meng Fang, Shenghui Li, and Emine Yilmaz
The Conference on Empirical Methods in Natural Language Processing: Findings (Findings of EMNLP), 2023
Turn-Level Active Learning for Dialogue State Tracking
Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, and Mohammad Reza Namazi Rad
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Lending Interaction Wings to Recommender Systems with Plug-and-Play Conversational Agents
Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, and Jun Wang
The Conference on Neural Information Processing Systems (NeurIPS), 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
Fanghua Ye, Zhiyuan Hu, and Emine Yilmaz
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
[Paper] [Code]
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, and Emine Yilmaz
The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
[Paper] [Code]
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation
Fanghua Ye, Jarana Manotumruksa, and Emine Yilmaz
Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL), 2022
[Paper] [Data]
ASSIST: Towards Label Noise-Robust Dialogue State Tracking
Fanghua Ye, Yue Feng, and Emine Yilmaz
Annual Meeting of the Association for Computational Linguistics: Findings (Findings of ACL), 2022
[Paper] [Code]
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
Yue Feng, Aldo Lipani, Fanghua Ye, Qiang Zhang, and Emine Yilmaz
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
[Paper]
Slot Self-Attentive Dialogue State Tracking
Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, and Emine Yilmaz
The Web Conference (WWW), 2021
[Paper] [Code] [Video]
Outlier-Resilient Web Service QoS Prediction
Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, and Hong Huang
The Web Conference (WWW), 2021
[Paper] [Code] [Video]
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling
Fanghua Ye, Jarana Manotumruksa, and Emine Yilmaz
The Conference on Empirical Methods in Natural Language Processing: Findings (Findings of EMNLP), 2020
[Paper] [Code]
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder
Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, and Hai Jin
International Conference on Database Systems for Advanced Applications (DASFAA), 2020
[Paper]
Discrete Overlapping Community Detection with Pseudo Supervision
Fanghua Ye, Chuan Chen, Zibin Zheng, Rong-Hua Li, and Jeffrey Xu Yu
IEEE International Conference on Data Mining (ICDM), 2019
[Paper] [Code]
Deep Heterogeneous Social Network Alignment
Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye, and Philip S. Yu
IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019
[Paper]
Adaptive Affinity Learning for Accurate Community Detection
Fanghua Ye, Shenghui Li, Zhiwei Lin, Chuan Chen, and Zibin Zheng
IEEE International Conference on Data Mining (ICDM), 2018 (short)
[Paper] [Code]
Deep Autoencoder-Like Nonnegative Matrix Factorization for Community Detection
Fanghua Ye, Chuan Chen, and Zibin Zheng
ACM International Conference on Information and Knowledge Management (CIKM), 2018
[Paper] [Code]
Skyline Community Search in Multi-Valued Networks
Rong-Hua Li, Lu Qin, Fanghua Ye, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, and Zibin Zheng
ACM International Conference on Management of Data (SIGMOD), 2018
[Paper] [Code]
Identifying Influential Nodes in Complex Networks via Semi-Local Centrality
Jiali Dong, Fanghua Ye, Wuhui Chen, and Jiajing Wu
IEEE International Symposium on Circuits and Systems (ISCAS), 2018
[Paper]
Measuring Cohesion of Software Systems Using Weighted Directed Complex Networks
Jie Zhang, Jiajing Wu, Yongxiang Xia, and Fanghua Ye
IEEE International Symposium on Circuits and Systems (ISCAS), 2018
[Paper]
Auto-Weighted Robust Federated Learning with Corrupted Data Sources
Shenghui Li, Edith Ngai, Fanghua Ye, and Thiemo Voigt
ACM Transactions on Intelligent Systems and Technology (TIST), 2022
[Paper]
Learning Deep Discriminative Representations with Pseudo Supervision for Image Clustering
Weibo Hu, Chuan Chen, Fanghua Ye, Zibin Zheng, and Yunfei Du
Information Sciences, 2021
[Paper]
Enhancing Graph Neural Networks via Auxiliary Training for Semi-Supervised Node Classification
Yao Wu, Yu Song, Hong Huang, Fanghua Ye, Xing Xie, and Hai Jin
Knowledge-Based Systems (KBS), 2021
[Paper]
Multi-Stage Network Embedding for Exploring Heterogeneous Edges
Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, and Hai Jin
ACM Transactions on Knowledge Discovery from Data (TKDD), 2020
[Paper]
Nonuniform Hyper-Network Embedding with Dual Mechanism
Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, and Zibin Zheng
ACM Transactions on Information Systems (TOIS), 2020
[Paper]
Finding Skyline Communities in Multi-Valued Networks
Rong-Hua Li, Lu Qin, Fanghua Ye, Guoren Wang, Jeffrey Xu Yu, Xiaokui Xiao, Nong Xiao, and Zibin Zheng
The VLDB Journal (VLDBJ), 2020
[Paper]
Homophily Preserving Community Detection
Fanghua Ye, Chuan Chen, Zhiyuan Wen, Zibin Zheng, Wuhui Chen, and Yuren Zhou
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
[Paper] [Code]
STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings
Pairui Li, Chuan Chen, Wujie Zheng, Yuetang Deng, Fanghua Ye, and Zibin Zheng
IEEE/ACM Transactions on Audio, Speech, and Language Processing (TASLP), 2019
[Paper]
Digging into It: Community Detection via Hidden Attributes Analysis
Rui Li, Fanghua Ye, Shaoan Xie, Chuan Chen, and Zibin Zheng
Neurocomputing, 2019
[Paper]
Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach
Fanghua Ye, Jiahao Liu, Chuan Chen, Guohui Ling, Zibin Zheng, and Yuren Zhou
IEEE Access, 2018
[Paper] [Code]
Finding Weighted K-Truss Communities in Large Networks
Zibin Zheng, Fanghua Ye, Rong-Hua Li, Guohui Ling, and Tan Jin
Information Sciences, 2017
[Paper] [Code]