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Fanghua Ye 0001
Person information
- unicode name: 叶方华
- affiliation: University College London, Department of Computer Science, UK
- affiliation (former): Sun Yat-sen University, School of Data and Computer Science, Guangzhou, China
Other persons with the same name
- Fanghua Ye 0002 — Xi'an Jiaotong University, School of Chemical Engineering and Technology, China (and 1 more)
- Fanghua Ye 0003 — Nanchang University, School of Software, China
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2020 – today
- 2024
- [j15]Muhammad Asif Khan
, Bhuyan Kaibalya Prasad, Guilin Qi, Wei Song, Fanghua Ye, Zafar Ali, Irfan Ullah, Pavlos Kefalas:
UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking. Appl. Intell. 54(17-18): 8347-8366 (2024) - [j14]Liheng Yuan
Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning. Eng. Appl. Artif. Intell. 137: 109105 (2024) - [j13]Liheng Yuan
Semi-supervised anomaly detection with contamination-resilience and incremental training. Eng. Appl. Artif. Intell. 138: 109311 (2024) - [c30]Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan, Fanghua Ye, Yiming Jiang, Yao Sai, Di Wang, Zhumin Chen, Pengjie Ren, Pablo César:
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. ACL (Findings) 2024: 4051-4066 - [c29]Jianhui Pang, Fanghua Ye, Derek F. Wong, Xin He, Wanshun Chen, Longyue Wang:
Anchor-based Large Language Models. ACL (Findings) 2024: 4958-4976 - [c28]Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen:
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism. EMNLP 2024: 12375-12400 - [c27]Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt:
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning. IoTDI 2024: 158-169 - [c26]Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Li Ju, Tianru Zhang, Thiemo Voigt:
Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning. IoTDI 2024: 229-230 - [i23]Jianhui Pang, Fanghua Ye, Longyue Wang, Dian Yu, Derek F. Wong
Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models. CoRR abs/2401.08350 (2024) - [i22]Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong
Benchmarking LLMs via Uncertainty Quantification. CoRR abs/2401.12794 (2024) - [i21]Jianhui Pang, Fanghua Ye, Derek F. Wong
Anchor-based Large Language Models. CoRR abs/2402.07616 (2024) - [i20]Jiahuan Pei, Irene Viola, Haochen Huang, Junxiao Wang, Moonisa Ahsan
Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. CoRR abs/2405.13034 (2024) - [i19]Shenghui Li, Fanghua Ye, Meng Fang, Jiaxu Zhao, Yun-Hin Chan, Edith C. H. Ngai, Thiemo Voigt:
Synergizing Foundation Models and Federated Learning: A Survey. CoRR abs/2406.12844 (2024) - [i18]Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen:
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism. CoRR abs/2407.17011 (2024) - [i17]Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong:
UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. CoRR abs/2410.02719 (2024) - [i16]Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong:
UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. CoRR abs/2410.03090 (2024) - 2023
- [c25]Fanghua Ye, Zhiyuan Hu, Emine Yilmaz:
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. ACL (1) 2023: 8875-8889 - [c24]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. EMNLP (Findings) 2023: 5985-6006 - [c23]Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad:
Turn-Level Active Learning for Dialogue State Tracking. EMNLP 2023: 7705-7719 - [c22]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS 2023 - [i15]Fanghua Ye, Zhiyuan Hu, Emine Yilmaz:
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. CoRR abs/2305.12594 (2023) - [i14]Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang:
Lending Interaction Wings to Recommender Systems with Conversational Agents. CoRR abs/2310.04230 (2023) - [i13]Fanghua Ye, Meng Fang, Shenghui Li, Emine Yilmaz:
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. CoRR abs/2310.09716 (2023) - [i12]Zihan Zhang, Meng Fang, Fanghua Ye, Ling Chen, Mohammad-Reza Namazi-Rad:
Turn-Level Active Learning for Dialogue State Tracking. CoRR abs/2310.14513 (2023) - [i11]Shitong Sun, Fanghua Ye, Shaogang Gong:
Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking. CoRR abs/2312.08924 (2023) - 2022
- [j12]Shenghui Li
Auto-weighted Robust Federated Learning with Corrupted Data Sources. ACM Trans. Intell. Syst. Technol. 13(5): 73:1-73:20 (2022) - [c21]Yue Feng, Aldo Lipani
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. ACL (1) 2022: 115-126 - [c20]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. ACL (Findings) 2022: 2719-2731 - [c19]Fanghua Ye
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. EMNLP 2022: 1157-1169 - [c18]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. SIGDIAL 2022: 351-360 - [i10]Fanghua Ye, Yue Feng, Emine Yilmaz:
ASSIST: Towards Label Noise-Robust Dialogue State Tracking. CoRR abs/2202.13024 (2022) - [i9]Yue Feng, Aldo Lipani
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. CoRR abs/2204.06677 (2022) - [i8]Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz:
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. CoRR abs/2210.12397 (2022) - 2021
- [j11]Weibo Hu, Chuan Chen, Fanghua Ye
Learning deep discriminative representations with pseudo supervision for image clustering. Inf. Sci. 568: 199-215 (2021) - [j10]Yao Wu, Yu Song
Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification. Knowl. Based Syst. 220: 106884 (2021) - [j9]Hong Huang, Yu Song, Fanghua Ye
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. ACM Trans. Knowl. Discov. Data 15(1): 5:1-5:27 (2021) - [c17]Fanghua Ye
Slot Self-Attentive Dialogue State Tracking. WWW 2021: 1598-1608 - [c16]Fanghua Ye
Outlier-Resilient Web Service QoS Prediction. WWW 2021: 3099-3110 - [i7]Shenghui Li, Edith C. H. Ngai, Fanghua Ye, Thiemo Voigt:
Auto-weighted Robust Federated Learning with Corrupted Data Sources. CoRR abs/2101.05880 (2021) - [i6]Fanghua Ye, Jarana Manotumruksa, Qiang Zhang, Shenghui Li, Emine Yilmaz:
Slot Self-Attentive Dialogue State Tracking. CoRR abs/2101.09374 (2021) - [i5]Lu Wang, Yu Song, Hong Huang, Fanghua Ye, Xuanhua Shi, Hai Jin:
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. CoRR abs/2103.07042 (2021) - [i4]Fanghua Ye, Jarana Manotumruksa, Emine Yilmaz:
MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. CoRR abs/2104.00773 (2021) - [i3]Hong Huang, Yu Song, Fanghua Ye, Xing Xie, Xuanhua Shi, Hai Jin:
Multi-Stage Network Embedding for Exploring Heterogeneous Edges. CoRR abs/2110.10347 (2021) - 2020
- [j8]Fanghua Ye
Homophily Preserving Community Detection. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2903-2915 (2020) - [j7]Jie Huang
Nonuniform Hyper-Network Embedding with Dual Mechanism. ACM Trans. Inf. Syst. 38(3): 28:1-28:18 (2020) - [j6]Rong-Hua Li, Lu Qin
Finding skyline communities in multi-valued networks. VLDB J. 29(6): 1407-1432 (2020) - [c15]Lu Wang, Yu Song, Hong Huang, Fanghua Ye
Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. DASFAA (2) 2020: 498-515 - [c14]Fanghua Ye
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling. EMNLP (Findings) 2020: 2566-2575 - [i2]Jie Huang
A Game Generative Network Framework with its Application to Relationship Inference. CoRR abs/2001.03758 (2020) - [i1]Fanghua Ye, Zhiwei Lin, Chuan Chen, Zibin Zheng, Hong Huang, Emine Yilmaz:
Outlier Resilient Collaborative Web Service QoS Prediction. CoRR abs/2006.01287 (2020)
2010 – 2019
- 2019
- [j5]Li Rui Jie, Fanghua Ye
Digging into it: Community detection via hidden attributes analysis. Neurocomputing 331: 97-107 (2019) - [j4]Pairui Li
STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 27(10): 1497-1506 (2019) - [c13]Lin Meng, Yuxiang Ren, Jiawei Zhang, Fanghua Ye
Deep Heterogeneous Social Network Alignment. CogMI 2019: 43-52 - [c12]Jie Huang
Hyper2vec: Biased Random Walk for Hyper-network Embedding. DASFAA (3) 2019: 273-277 - [c11]Weibo Hu, Chuan Chen, Fanghua Ye
Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning. DASFAA (3) 2019: 287-291 - [c10]Yuzheng Li, Chuan Chen, Fanghua Ye
A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation. DASFAA (3) 2019: 334-337 - [c9]Fanghua Ye
Discrete Overlapping Community Detection with Pseudo Supervision. ICDM 2019: 708-717 - 2018
- [j3]Fanghua Ye
Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach. IEEE Access 6: 47240-47257 (2018) - [j2]Zhiwei Lin
BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks. IEEE Access 6: 59949-59962 (2018) - [c8]Fanghua Ye
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection. CIKM 2018: 1393-1402 - [c7]Fanghua Ye
Adaptive Affinity Learning for Accurate Community Detection. ICDM 2018: 1374-1379 - [c6]Fanghua Ye
An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks. ICSOC 2018: 505-514 - [c5]Jiali Dong, Fanghua Ye
Identifying Influential Nodes in Complex Networks via Semi-Local Centrality. ISCAS 2018: 1-5 - [c4]Jie Zhang, Jiajing Wu, Yongxiang Xia, Fanghua Ye
Measuring Cohesion of Software Systems Using Weighted Directed Complex Networks. ISCAS 2018: 1-5 - [c3]Rong-Hua Li, Lu Qin
Skyline Community Search in Multi-valued Networks. SIGMOD Conference 2018: 457-472 - 2017
- [j1]Zibin Zheng
Finding weighted k-truss communities in large networks. Inf. Sci. 417: 344-360 (2017) - [c2]Fanghua Ye
DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing. ICDCS Workshops 2017: 275-279 - [c1]Fanghua Ye
Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach. ICSOC 2017: 605-613
Coauthor Index
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last updated on 2024-11-21 21:21 CET by the dblp team
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