| 2026 | AAAI | MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization. | Lanxue Zhang, Yuqiang Xie, Fang Fang, Fanglong Dong, Rui Liu, Yanan Cao |
| 2026 | ACL | DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack. | Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Shi Wang, Li Guo |
| 2026 | ACL | Do LLMs Know Tool Irrelevance? Demystifying Structural Alignment Bias in Tool Invocations. | Yilong Liu, Xixun Lin, Pengfei Cao, Ge Zhang, Fang Fang, Yanan Cao |
| 2026 | ACL | EA-Agent: A Structured Multi-Step Reasoning Agent for Entity Alignment. | Yixuan Nan, Xixun Lin, Yanmin Shang, Ge Zhang, Zheng Fang, Fang Fang, Yanan Cao |
| 2026 | ACL | Rethinking LLM Watermark Detection in Black-Box Settings: A Non-Intrusive Third-Party Framework. | Zhuoshang Wang, Yubing Ren, Yanan Cao, Fang Fang, Xiaoxue Li, Li Guo |
| 2026 | ACL | Cognitive Analysis Graph-Guided Multi-Turn Safety Enhancement for Large Language Models. | Lanxue Zhang, Yuqiang Xie, Fang Fang, Yubing Ren, Xuebin Wang, Yanan Cao |
| 2026 | ACL | Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text Detection. | Xiaowei Zhu, Yubing Ren, Fang Fang, Shi Wang, Yanan Cao, Li Guo |
| 2025 | ACL | PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization. | Yidan Wang, Yanan Cao, Yubing Ren, Fang Fang, Zheng Lin, Binxing Fang |
| 2025 | ACL | Dynamic Evaluation with Cognitive Reasoning for Multi-turn Safety of Large Language Models. | Lanxue Zhang, Yanan Cao, Yuqiang Xie, Fang Fang, Yangxi Li |
| 2025 | ACL | Reliably Bounding False Positives: A Zero-Shot Machine-Generated Text Detection Framework via Multiscaled Conformal Prediction. | Xiaowei Zhu, Yubing Ren, Yanan Cao, Xixun Lin, Fang Fang, Yangxi Li |
| 2025 | GLOBECOM | Robust and Secure Transmission for Movable RIS Assisted ISAC. | Ling Zhuang, Ximing Xie, Fang Fang, Zhizhong Zhang |
| 2025 | IJCNN | ToP: a Structured Pathway for Document-level Information Extraction with Large Language Models. | Pengfei Yin, Yubing Ren, Fang Fang, Boxiang Hu, Xu Bai |
| 2025 | IECON | Optimal Day-Ahead Scheduling of Large-Scale Renewable Energy Bases in Desert for Cross-Regional Power Delivery. | Jiajun Qin, Fang Fang, Xin Tian |
| 2025 | WWW | Bridging the Gap: Aligning Language Model Generation with Structured Information Extraction via Controllable State Transition. | Hao Li, Yubing Ren, Yanan Cao, Yingjie Li, Fang Fang, Zheng Lin, Shi Wang |
| 2024 | COLING | DEIE: Benchmarking Document-level Event Information Extraction with a Large-scale Chinese News Dataset. | Yubing Ren, Yanan Cao, Hao Li, Yingjie Li, Zixuan ZM Ma, Fang Fang, Ping Guo, Wei Ma |
| 2024 | HCI | Construction and Practice of Financial Management Professional Curriculum System Based on OBE Philosophy. | Fang Fang, XiaoShi Chen, Qing Lan Li |
| 2024 | HCI | Collaborative Game: Using Explicit Biofeedback to Enhance Empathy Loop. | Fang Fang, Jie Wu |
| 2024 | ICASSP | Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction. | Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang |
| 2024 | ICPADS | MARS: Multi-Agent Deep Reinforcement Learning for Real-Time Workflow Scheduling in Hybrid Clouds with Privacy Protection. | Long Cheng, Haoyang He, Yan Gu, Qingzhi Liu, Zhiming Zhao, Fang Fang |
| 2024 | INDIN | An Adaptive Scheduling Method for Infrastructure Construction Progress Based on Digital Twin. | HaiSheng Liang, Yini Wang, Chuxi Wei, Songyuan Yu, Fang Fang |
| 2024 | INDIN | Out-of-Distribution Robustness Forecasting for Offshore Wind Power via Matching Based Transformer. | Jianmou Lu, Yuanye Chen, Fang Fang, Feng Xiao, Zhijie Liu |
| 2024 | INDIN | Acoustic Feature Extraction of Wind Turbine Blades Based on Improved MFCC-GFCC. | Ziyi Wang, Yuanye Chen, Hua Wang, Haichao Wang, Fang Fang |
| 2024 | INDIN | Control Interval Reconstruction of Floating Wind Turbine Based on Response Characteristics. | Jingfeng Zhou, Ziqiu Song, Fang Fang |
| 2024 | VTC | An Efficient Federated Learning Framework for IoT Intrusion Detection. | Yushen Chen, Fang Fang, Boyu Wang, Lan Zhang |
| 2024 | VTC | Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks. | Bibo Wu, Fang Fang, Ming Zeng, Xianbin Wang |
| 2023 | ACL | Towards Better Entity Linking with Multi-View Enhanced Distillation. | Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang |
| 2023 | ACL | Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation. | Yubing Ren, Yanan Cao, Ping Guo, Fang Fang, Wei Ma, Zheng Lin |
| 2023 | APWEB | URPWS: An Urban Road Ponding Monitoring and Warning System Based on Surveillance Video. | Rui Xu, Fang Fang, Qingyi Hao, Kang Zheng, Yi Zhou, Yuting Feng, Shengwen Li, Zijing Wan |
| 2023 | CogSci | Mapping between the Human Visual System and Two-stream DCNNs in Action Representation. | Yujia Peng, Xizi Gong, Hongjing Lu, Fang Fang |
| 2023 | EMNLP | Intra-Event and Inter-Event Dependency-Aware Graph Network for Event Argument Extraction. | Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang |
| 2023 | GLOBECOM | Hierarchical Sparse Estimation of Non-Stationary Channel for Uplink Massive MIMO Systems. | Chongyang Tan, Donghong Cai, Fang Fang, Jiahao Shan, Yanqing Xu, Zhiguo Ding, Pingzhi Fan |
| 2023 | GLOBECOM | SIC-Free NOMA Designs Via Symbol-Level Precoding. | Yanqing Xu, Fang Fang, Shuai Wang, Donghong Cai |
| 2023 | GLOBECOM | Hybrid Active-Passive Intelligent Reflecting Surface for Secure Communication. | Ling Zhuang, Jianyue Zhu, Zhizhong Zhang, Fang Fang |
| 2023 | ICASSP | Seri: Sketching-Reasoning-Integrating Progressive Workflow for Empathetic Response Generation. | Guanqun Bi, Yanan Cao, Piji Li, Yuqiang Xie, Fang Fang, Zheng Lin |
| 2023 | ICASSP | Time-Aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering. | Yonghao Liu, Di Liang, Fang Fang, Sirui Wang, Wei Wu, Rui Jiang |
| 2023 | ICML | Which Invariance Should We Transfer? A Causal Minimax Learning Approach. | Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang |
| 2023 | IGARSS | Spatial Extent-Aware Multimodal Fusion Method for Measuring Urban Socioeconomic Status. | Fang Fang, Jiahui Zhang, Shengwen Li, Daoyuan Zheng, Linyun Zeng, Bo Wan |
| 2023 | PIMRC | Latency Minimization in Wireless-Powered Federated Learning Networks with NOMA. | Mohammad Hossein Alishahi, Paul Fortier, Ming Zeng, Fang Fang, Aohan Li |
| 2023 | PIMRC | Power Optimization in RIS-Assisted P-NOMA for Full-Duplex 6G Vehicular Networks. | Somayeh Mokhtari, Fang Fang, Xianbin Wang |
| 2023 | PIMRC | Security and Efficiency Enhancement for Split Learning: A Machine Learning based Malicious Clients Detection Approach. | Guan Qiang, Fang Fang, Xianbin Wang |
| 2023 | VTC | MIM-GAN-based Anomaly Detection for Multivariate Time Series Data. | Shan Lu, Zhicheng Dong, Donghong Cai, Fang Fang, Dongcai Zhao |
| 2023 | VINCI | Bivalve Data Sculpture: data-driven design object to represent ecological knowledge. | Fang Fang, Yilang Jin, Jingyi Duan, Yiru Zhao, Francesca Valsecchi |
| 2023 | VINCI | "Z Box"༚Interactive VR Game of Generation Z's Growth Memories. | Fang Fang, Yu Lu, Shuo Yan |
| 2022 | AAAI | How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View. | Ren Li, Yanan Cao, Qiannan Zhu, Guanqun Bi, Fang Fang, Yi Liu, Qian Li |
| 2022 | COLING | CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction. | Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, Yi Liu |
| 2022 | ICANN | Heterogeneous Graph Attention Network for Malicious Domain Detection. | Zhiping Li, Fangfang Yuan, Yanbing Liu, Cong Cao, Fang Fang, Jianlong Tan |
| 2022 | ICCS | MHGEE: Event Extraction via Multi-granularity Heterogeneous Graph. | Mingyu Zhang, Fang Fang, Hao Li, Qingyun Liu, Yangchun Li, Hailong Wang |
| 2022 | SiggraphA | Voight-Kampff 2.0. | Fang Fang, Shuo Yan |
| 2022 | SiggraphA | Modern Rescue 2022ss. | Yuxi Mao, Fang Fang, Tianyou Xue |
| 2021 | AAAI | Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences. | Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Pengfei Yin, Shi Wang |
| 2021 | ACL | Deep Differential Amplifier for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Fang Fang, Yuchen Zhou, Zheng Fang, Yanbing Liu, Shi Wang |
| 2021 | EMNLP | TEBNER: Domain Specific Named Entity Recognition with Type Expanded Boundary-aware Network. | Zheng Fang, Yanan Cao, Tai Li, Ruipeng Jia, Fang Fang, Yanmin Shang, Yuhai Lu |
| 2021 | ICASSP | Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction. | Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Ruipeng Jia, Fang Fang, Shi Wang |
| 2021 | ICCS | Human-Like Storyteller: A Hierarchical Network with Gated Memory for Visual Storytelling. | Lu Zhang, Yawei Kong, Fang Fang, Cong Cao, Yanan Cao, Yanbing Liu, Can Ma |
| 2021 | ICIP | Hierarchical Domain-Consistent Network For Cross-Domain Object Detection. | Yuanyuan Liu, Ziyang Liu, Fang Fang, Zhanghua Fu, Zhanlong Chen |
| 2021 | IPEC | Research on Employment and Entrepreneurship Education in Universities. | Xinggang Wang, Chuang Hu, Fang Fang, Mingdan Han, Xiaosong Wang |
| 2021 | IPEC | Research on the Reform of Classroom Ideology and Politics Construction. | Xinggang Wang, Xiaosong Wang, Mingdan Han, Fang Fang, Chuang Hu, Lang Huang |
| 2021 | ISCC | No news is an island: Joint heterogeneous graph network for news classification. | Zhezhou Kang, Yi Liu, Guanqun Bi, Fang Fang, Pengfei Yin |
| 2021 | IWCMC | Research on Cultivating Innovation Ability of Computer Majors Based on Innovation Cluster. | Fang Fang, Hui Xie, Dong Liu |
| 2021 | IWCMC | Research on Privacy Protection Based on Machine Learning. | Hui Xie, Li Wei, Fang Fang |
| 2021 | KSEM | Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification. | Yubao Tang, Zhezhou Li, Cong Cao, Fang Fang, Yanan Cao, Yanbing Liu, Jianhui Fu |
| 2020 | CIKM | DistilSum: : Distilling the Knowledge for Extractive Summarization. | Ruipeng Jia, Yanan Cao, Haichao Shi, Fang Fang, Yanbing Liu, Jianlong Tan |
| 2020 | EMNLP | Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network. | Ruipeng Jia, Yanan Cao, Hengzhu Tang, Fang Fang, Cong Cao, Shi Wang |
| 2020 | ICCS | DDNE: Discriminative Distance Metric Learning for Network Embedding. | Xiaoxue Li, Yangxi Li, Yanmin Shang, Lingling Tong, Fang Fang, Pengfei Yin, Jie Cheng, Jing Li |
| 2020 | IJCNN | Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder. | Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin |
| 2020 | IJCNN | Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization. | Ruipeng Jia, Yannan Cao, Fang Fang, Jinpeng Li, Yanbing Liu, Pengfei Yin |
| 2020 | PAKDD | HIN: Hierarchical Inference Network for Document-Level Relation Extraction. | Hengzhu Tang, Yanan Cao, Zhenyu Zhang, Jiangxia Cao, Fang Fang, Shi Wang, Pengfei Yin |
| 2020 | VTC | Joint Time and Power Allocation for Cooperative NOMA based MEC System. | Yujie Wen, Xiaotian Zhou, Fang Fang, Haixia Zhang, Dongfeng Yuan |
| 2019 | GLOBECOM | Optimal Task Partition and Power Allocation for Mobile Edge Computing with NOMA. | Fang Fang, Yanqing Xu, Zhiguo Ding, Chao Shen, Mugen Peng, George K. Karagiannidis |
| 2019 | GLOBECOM | Optimal Task Assignment and Power Allocation for Downlink NOMA MEC Networks. | Fang Fang, Kaidi Wang, Zhiguo Ding |
| 2019 | GLOBECOM | Joint Optimization of Task Assignment and Power Allocation for NOMA-Aided MEC Systems. | Kaidi Wang, Fang Fang, Zhiguo Ding |
| 2019 | GLOBECOM | Resource Allocation for NOMA MEC Offloading. | Jianyue Zhu, Jiaheng Wang, Yongming Huang, Fang Fang, Keivan Navaie, Zhiguo Ding |
| 2019 | ICASSP | Unsupervised User Clustering in Non-orthogonal Multiple Access. | Jie Ren, Zulin Wang, Mai Xu, Fang Fang, Zhiguo Ding |
| 2018 | GLOBECOM | Outage Probability of NOMA with Partial HARQ Over Time-Correlated Fading Channels. | Donghong Cai, Yanqing Xu, Fang Fang, Shi Yan, Pingzhi Fan |
| 2018 | GLOBECOM | Cooperative Game Aided Spectrum Sharing in Underlay Cognitive Radio Networks Employing NOMA Schemes. | Wei Liang, Lixin Li, Jia Shi, Fang Fang, Zhiguo Ding |
| 2018 | GLOBECOM | Outage Analysis and Power Allocation for HARQ-CC Enabled NOMA Downlink Transmission. | Yanqing Xu, Donghong Cai, Fang Fang, Zhiguo Ding, Chao Shen, Gang Zhu |
| 2018 | ICARCV | Learning Under-Specified Object Manipulations from Human Demonstrations. | Kun Qian, Jun Xu, Ge Gao, Fang Fang, Xudong Ma |
| 2018 | ICIP | Image Captioning with Word Level Attention. | Fang Fang, Hanli Wang, Pengjie Tang |
| 2017 | ICINCO | Learning Spatial Constraints using Gaussian Process for Shared Control of Semi-autonomous Mobile Robots. | Kun Qian, Dan Niu, Fang Fang, Xudong Ma |
| 2017 | IGARSS | Urban function zoning using geotagged photos and openstreetmap. | Lu Wang, Fang Fang, Xiaohui Yuan, Zhongwen Luo, Yuanyuan Liu, Bo Wan, Yishi Zhao |
| 2017 | PAKDD | A Performance Evaluation Model for Taxi Cruising Path Recommendation System. | Huimin Lv, Fang Fang, Yishi Zhao, Yuanyuan Liu, Zhongwen Luo |
| 2017 | PSIVT | Deep Transfer Feature Based Convolutional Neural Forests for Head Pose Estimation. | Yuanyuan Liu, Zhong Xie, Xi Gong, Fang Fang |
| 2016 | IECON | Task planning of mobile robots in distributed service framework. | Chenqiang Ma, Fang Fang, Xudong Ma |
| 2016 | IECON | Embedded control system of dual-module automatic platelet function analyzer. | Mingming Xu, Xudong Ma, Fang Fang, Xin Xu, Ziquan Dong |
| 2016 | IECON | Development of management software for new Automatic Hematology analyzer based on PC/Windows. | Wenhao Zhang, Xudong Ma, Fang Fang, Xin Xu, Ziquan Dong |
| 2016 | KSEM | Knowledge Extraction from Chinese Records of Cyber Attacks Based on a Semantic Grammar. | Fang Fang, Ya Wang, Luchen Zhang, Cungen Cao |
| 2015 | GLOBECOM | A New Economic Model in Cloud Computing: Cloud Service Provider vs. Network Service Provider. | Jun Huang, Fang Fang, Yi Sun, Huifang Yan, Cong-Cong Xing, Qiang Duan, Wei Wang |
| 2015 | ICCCN | Multiple Service Providers with IP Flow Mobility: From an Economic Perspective. | Jun Huang, Yi Sun, Fang Fang, Cong-Cong Xing, Yanxiao Zhao, Kun Hua |
| 2015 | IECON | Long-range outdoor localization of a mobile robot using a binocular camera. | Bo Zhou, Meng Li, Kun Qian, Xianzhong Dai, Fang Fang |
| 2015 | KSEM | A Chinese Framework of Semantic Taxonomy and Description: Preliminary Experimental Evaluation Using Web Information Extraction. | Liangjun Zang, Weimin Wang, Ya Wang, Fang Fang, Cong Cao, Xiaolong Wu, Qi Zhou, Ye Lu, Tingyu Li, Cungen Cao |
| 2013 | ICIS | LDA-Based Industry Classification. | Fang Fang, Kaushik Dutta, Anindya Datta |
| 2012 | ICIS | A Hybrid Method for Cross-domain Sentiment Classification Using Multiple Sources. | Fang Fang, Anindya Datta, Kaushik Dutta |
| 2011 | CVPR | Simulating human saccadic scanpaths on natural images. | Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao |
| 2011 | ICONIP | Saliency Detection Based on Scale Selectivity of Human Visual System. | Fang Fang, Laiyun Qing, Jun Miao, Xilin Chen, Wen Gao |
| 2009 | PACLIC | Document Re-ranking via Wikipedia Articles for Definition/Biography Type Questions. | Maofu Liu, Fang Fang, Donghong Ji |
| 2007 | ICCS | A Fast Method for Pricing Early-Exercise Options with the FFT. | R. Lord, Fang Fang, F. Bervoets, Cornelis W. Oosterlee |
| 2006 | IROS | Mobile Robot Localization Based on Improved Model Matching in Hough Space. | Fang Fang, Xudong Ma, Xianzhong Dai |
| 2004 | ASPDAC | Automatic process migration of datapath hard IP libraries. | Fang Fang, Jianwen Zhu |