DC-RSF: A Dynamic and Customized Reputation System Framework for Joint Cloud Computing. - Fanghua Ye 001; Zibin Zheng; Chuan Chen 001; Yuren Zhou (ICDCS Workshops, 2017)

Efficient Influential Individuals Discovery on Service-Oriented Social Networks: A Community-Based Approach. - Fanghua Ye 001; Jiahao Liu; Chuan Chen 001; Guohui Ling; Zibin Zheng; Yuren Zhou (ICSOC, 2017)

Finding weighted k-truss communities in large networks. - Zibin Zheng; Fanghua Ye 001; Rong-Hua Li; Guohui Ling; Tan Jin (Inf. Sci., 2017)

Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection. - Fanghua Ye 001; Chuan Chen 001; Zibin Zheng (CIKM, 2018)

Adaptive Affinity Learning for Accurate Community Detection. - Fanghua Ye 001; Shenghui Li; Zhiwei Lin; Chuan Chen 001; Zibin Zheng (ICDM, 2018)

An Adaptive Semi-local Algorithm for Node Ranking in Large Complex Networks. - Fanghua Ye 001; Chuan Chen 001; Jie Zhang; Jiajing Wu; Zibin Zheng (ICSOC, 2018)

Identifying Influential Nodes in Complex Networks via Semi-Local Centrality. - Jiali Dong; Fanghua Ye 001; Wuhui Chen; Jiajing Wu (ISCAS, 2018)

Measuring Cohesion of Software Systems Using Weighted Directed Complex Networks. - Jie Zhang; Jiajing Wu; Yongxiang Xia; Fanghua Ye 001 (ISCAS, 2018)

Skyline Community Search in Multi-valued Networks. - Rong-Hua Li; Lu Qin 001; Fanghua Ye 001; Jeffrey Xu Yu; Xiaokui Xiao; Nong Xiao; Zibin Zheng (SIGMOD Conference, 2018)

BGN: Identifying Influential Nodes in Complex Networks via Backward Generating Networks. - Zhiwei Lin; Fanghua Ye 001; Chuan Chen 001; Zibin Zheng (IEEE Access, 2018)

Identifying Influential Individuals on Large-Scale Social Networks: A Community Based Approach. - Fanghua Ye 001; Jiahao Liu; Chuan Chen 001; Guohui Ling; Zibin Zheng; Yuren Zhou (IEEE Access, 2018)

Deep Heterogeneous Social Network Alignment. - Lin Meng; Yuxiang Ren; Jiawei Zhang 001; Fanghua Ye 001; Philip S. Yu (CogMI, 2019)

Nonnegative Spectral Clustering for Large-Scale Semi-supervised Learning. - Weibo Hu; Chuan Chen 001; Fanghua Ye 001; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

Hyper2vec: Biased Random Walk for Hyper-network Embedding. - Jie Huang 009; Chuan Chen 001; Fanghua Ye 001; Jiajing Wu; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

A Semi-supervised Classification Approach for Multiple Time-Varying Networks with Total Variation. - Yuzheng Li; Chuan Chen 001; Fanghua Ye 001; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

Discrete Overlapping Community Detection with Pseudo Supervision. - Fanghua Ye 001; Chuan Chen 001; Zibin Zheng; Rong-Hua Li; Jeffrey Xu Yu (ICDM, 2019)

Digging into it: Community detection via hidden attributes analysis. - Li Rui Jie; Fanghua Ye 001; Shaoan Xie; Chuan Chen 001; Zibin Zheng (Neurocomputing, 2019)

STD: An Automatic Evaluation Metric for Machine Translation Based on Word Embeddings. - Pairui Li; Chuan Chen 001; Wujie Zheng; Yuetang Deng; Fanghua Ye 001; Zibin Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. - Lu Wang 002; Yu Song 005; Hong Huang 001; Fanghua Ye 001; Xuanhua Shi; Hai Jin 001 (DASFAA (2), 2020)

Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling. - Fanghua Ye 001; Jarana Manotumruksa; Emine Yilmaz (EMNLP (Findings), 2020)

A Game Generative Network Framework with its Application to Relationship Inference. - Jie Huang 009; Fanghua Ye 001; Xu Chen (CoRR, 2020)

Outlier Resilient Collaborative Web Service QoS Prediction. - Fanghua Ye 001; Zhiwei Lin; Chuan Chen 001; Zibin Zheng; Hong Huang 001; Emine Yilmaz (CoRR, 2020)

Homophily Preserving Community Detection. - Fanghua Ye 001; Chuan Chen 001; Zhiyuan Wen; Zibin Zheng; Wuhui Chen; Yuren Zhou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Nonuniform Hyper-Network Embedding with Dual Mechanism. - Jie Huang 009; Chuan Chen 001; Fanghua Ye 001; Weibo Hu; Zibin Zheng (ACM Trans. Inf. Syst., 2020)

Finding skyline communities in multi-valued networks. - Rong-Hua Li; Lu Qin 001; Fanghua Ye 001; Guoren Wang; Jeffrey Xu Yu; Xiaokui Xiao; Nong Xiao; Zibin Zheng (VLDB J., 2020)

Outlier-Resilient Web Service QoS Prediction. - Fanghua Ye 001; Zhiwei Lin; Chuan Chen 001; Zibin Zheng; Hong Huang 001 (WWW, 2021)

Slot Self-Attentive Dialogue State Tracking. - Fanghua Ye 001; Jarana Manotumruksa; Qiang Zhang 026; Shenghui Li; Emine Yilmaz (WWW, 2021)

Learning deep discriminative representations with pseudo supervision for image clustering. - Weibo Hu; Chuan Chen 001; Fanghua Ye 001; Zibin Zheng; Yunfei Du (Inf. Sci., 2021)

Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification. - Yao Wu; Yu Song 005; Hong Huang 001; Fanghua Ye 001; Xing Xie 001; Hai Jin 001 (Knowl. Based Syst., 2021)

Multi-Stage Network Embedding for Exploring Heterogeneous Edges. - Hong Huang 001; Yu Song 005; Fanghua Ye 001; Xing Xie 001; Xuanhua Shi; Hai Jin 001 (ACM Trans. Knowl. Discov. Data, 2021)

ASSIST: Towards Label Noise-Robust Dialogue State Tracking. - Fanghua Ye 001; Yue Feng 002; Emine Yilmaz (ACL (Findings), 2022)

Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking. - Yue Feng 002; Aldo Lipani; Fanghua Ye 001; Qiang Zhang 026; Emine Yilmaz (ACL (1), 2022)

MetaASSIST: Robust Dialogue State Tracking with Meta Learning. - Fanghua Ye 001; Xi Wang 012; Jie Huang 009; Shenghui Li; Samuel Stern; Emine Yilmaz (EMNLP, 2022)

MultiWOZ 2.4: A Multi-Domain Task-Oriented Dialogue Dataset with Essential Annotation Corrections to Improve State Tracking Evaluation. - Fanghua Ye 001; Jarana Manotumruksa; Emine Yilmaz (SIGDIAL, 2022)

Auto-weighted Robust Federated Learning with Corrupted Data Sources. - Shenghui Li; Edith C. H. Ngai; Fanghua Ye 001; Thiemo Voigt (ACM Trans. Intell. Syst. Technol., 2022)

Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process. - Fanghua Ye 001; Zhiyuan Hu; Emine Yilmaz (ACL (1), 2023)

Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting. - Fanghua Ye 001; Meng Fang; Shenghui Li; Emine Yilmaz (EMNLP (Findings), 2023)

Turn-Level Active Learning for Dialogue State Tracking. - Zihan Zhang; Meng Fang; Fanghua Ye 001; Ling Chen 006; Mohammad-Reza Namazi-Rad (EMNLP, 2023)

Lending Interaction Wings to Recommender Systems with Conversational Agents. - Jiarui Jin; Xianyu Chen; Fanghua Ye 001; Mengyue Yang; Yue Feng 002; Weinan Zhang 001; Yong Yu 001; Jun Wang 012 (NeurIPS, 2023)

Training-free Zero-shot Composed Image Retrieval with Local Concept Reranking. - Shitong Sun; Fanghua Ye 001; Shaogang Gong (CoRR, 2023)

Anchor-based Large Language Models. - Jianhui Pang; Fanghua Ye 001; Derek F. Wong; Xin He; Wanshun Chen; Longyue Wang (ACL (Findings), 2024)

Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. - Jiahuan Pei; Irene Viola 001; Haochen Huang; Junxiao Wang; Moonisa Ahsan; Fanghua Ye 001; Yiming Jiang 017; Yao Sai; Di Wang 015; Zhumin Chen; Pengjie Ren; Pablo César (ACL (Findings), 2024)

Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism. - Anhao Zhao; Fanghua Ye 001; Jinlan Fu; Xiaoyu Shen 001 (EMNLP, 2024)

Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning. - Shenghui Li; Edith C. H. Ngai; Fanghua Ye 001; Li Ju; Tianru Zhang; Thiemo Voigt (IoTDI, 2024)

Demo Abstract: Blades: A Unified Benchmark Suite for Byzantine-Resilient in Federated Learning. - Shenghui Li; Edith C. H. Ngai; Fanghua Ye 001; Li Ju; Tianru Zhang; Thiemo Voigt (IoTDI, 2024)

Benchmarking LLMs via Uncertainty Quantification. - Fanghua Ye 001; Mingming Yang; Jianhui Pang; Longyue Wang; Derek F. Wong; Emine Yilmaz; Shuming Shi 001; Zhaopeng Tu (NeurIPS, 2024)

Anchor-based Large Language Models. - Jianhui Pang; Fanghua Ye 001; Derek F. Wong; Longyue Wang (CoRR, 2024)

Synergizing Foundation Models and Federated Learning: A Survey. - Shenghui Li; Fanghua Ye 001; Meng Fang; Jiaxu Zhao 002; Yun-Hin Chan; Edith C. H. Ngai; Thiemo Voigt (CoRR, 2024)

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation. - Zixuan Li; Jing Xiong; Fanghua Ye 001; Chuanyang Zheng; Xun Wu; Jianqiao Lu; Zhongwei Wan; Xiaodan Liang; Chengming Li; Zhenan Sun; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference. - Jing Xiong; Jianghan Shen; Fanghua Ye 001; Chaofan Tao; Zhongwei Wan; Jianqiao Lu; Xun Wu; Chuanyang Zheng; Zhijiang Guo; Lingpeng Kong; Ngai Wong 001 (CoRR, 2024)

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning. - Shenghui Li; Edith C. H. Ngai; Fanghua Ye 001; Thiemo Voigt (CoRR, 2024)

Semi-supervised anomaly detection with contamination-resilience and incremental training. - Liheng Yuan; Fanghua Ye 001; Heng Li 008; Chenhao Zhang; Cuiying Gao; Chengqing Yu; Wei Yuan 001; Xinge You (Eng. Appl. Artif. Intell., 2024)

Concept drift adaptation with scarce labels: A novel approach based on diffusion and adversarial learning. - Liheng Yuan; Fanghua Ye 001; Wei Zhou; Wei Yuan 001; Xinge You (Eng. Appl. Artif. Intell., 2024)

UTMGAT: a unified transformer with memory encoder and graph attention networks for multidomain dialogue state tracking. - Muhammad Asif Khan; Bhuyan Kaibalya Prasad; Guilin Qi; Wei Song; Fanghua Ye 001; Zafar Ali; Irfan Ullah 001; Pavlos Kefalas (Appl. Intell., 2024)

Understanding Large Language Model Vulnerabilities to Social Bias Attacks. - Jiaxu Zhao 002; Meng Fang; Fanghua Ye 001; Ke Xu; Qin Zhang; Joey Tianyi Zhou; Mykola Pechenizkiy (ACL (1), 2025)

Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models. - Jianhui Pang; Fanghua Ye 001; Derek Fai Wong; Dian Yu 001; Shuming Shi 001; Zhaopeng Tu; Longyue Wang (Trans. Assoc. Comput. Linguistics, 2025)

ParallelComp: Parallel Long-Context Compressor for Length Extrapolation. - Jing Xiong; Jianghan Shen; Chuanyang Zheng; Zhongwei Wan; Chenyang Zhao; Chiwun Yang; Fanghua Ye 001; Hongxia Yang; Lingpeng Kong; Ngai Wong 001 (CoRR, 2025)

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling. - Anhao Zhao; Fanghua Ye 001; Yingqi Fan; Junlong Tong; Zhiwei Fei; Hui Su; Xiaoyu Shen 001 (CoRR, 2025)

Conversational Education at Scale: A Multi-LLM Agent Workflow for Procedural Learning and Pedagogic Quality Assessment. - Jiahuan Pei; Fanghua Ye 001; Xin Sun; Wentao Deng; Koen V. Hindriks; Junxiao Wang (CoRR, 2025)