| 2026 | AAAI | THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs. | Lixin Zhou, Zemin Liu, Yuan Fang, Dan Niu, Jing Ying |
| 2026 | ACL | Reverse Constitutional AI: A Framework for Controllable Toxic Data Generation via Probability-Clamped RLAIF. | Yuan Fang, Yiming Luo, Aimin Zhou, Fei Tan |
| 2026 | ACL | Disentangling Reasoning Logic to Resolve Explicit Knowledge Conflicts. | Xianda Zheng, Zijian Huang, Meng-Fen Chiang, Jiamou Liu, Yuan Fang, Michael J. Witbrock, Kaiqi Zhao |
| 2026 | WSDM | G-TRAC: Graph-textual Representations Alignment for Cold-start Recommendations. | Li-Yang Chang, Yuan Fang, Ming-Feng Tsai, Chuan-Ju Wang |
| 2026 | WSDM | Time-Aware Adaptive Side Information Fusion for Sequential Recommendation. | Jie Luo, Wenyu Zhang, Xinming Zhang, Yuan Fang |
| 2026 | WSDM | Prompt Tuning without Labeled Samples for Zero-Shot Node Classification in Text-Attributed Graphs. | Sethupathy Parameswaran, Suresh Sundaram, Yuan Fang |
| 2025 | AAAI | Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning. | Qiannan Zhang, Shichao Pei, Yuan Fang, Xiangliang Zhang |
| 2025 | CGI | A Generalised Pre-training Strategy for Deep Learning Networks in Semantic Segmentation of Remotely Sensed Images. | Yuan Fang, Yuanzhi Cai, Jagannath Aryal, Qinfeng Zhu, Hong Huang, Cheng Zhang, Lei Fan |
| 2025 | CIKM | Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration. | Tengwei Song, Min Wu, Yuan Fang |
| 2025 | ICASSP | Vector Quantized Diffusion Model Based Speech Bandwidth Extension. | Yuan Fang, Jinglin Bai, Jiajie Wang, Xueliang Zhang |
| 2025 | ICLR | Node-Time Conditional Prompt Learning in Dynamic Graphs. | Xingtong Yu, Zhenghao Liu, Xinming Zhang, Yuan Fang |
| 2025 | ICRA | Deformpam: Data-Efficient Learning for Long-Horizon Deformable Object Manipulation Via Preference-Based Action Alignment. | Wendi Chen, Han Xue, Fangyuan Zhou, Yuan Fang, Cewu Lu |
| 2025 | ICRA | CubeDN: Real-Time Drone Detection in 3D Space from Dual mmWave Radar Cubes. | Yuan Fang, Fangzhan Shi, Xijia Wei, Qingchao Chen, Kevin Chetty, Simon Julier |
| 2025 | KDD | Graph Positional Autoencoders as Self-supervised Learners. | Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi |
| 2025 | KDD | Quantizing Text-attributed Graphs for Semantic-Structural Integration. | Jianyuan Bo, Hao Wu, Yuan Fang |
| 2025 | KDD | Advancing Molecular Graph-Text Pre-training via Fine-grained Alignment. | Yibo Li, Yuan Fang, Mengmei Zhang, Chuan Shi |
| 2025 | KDD | Towards Web-scale Recommendations with LLMs: From Quality-aware Ranking to Candidate Generation. | Jaidev Shah, Iman Barjasteh, Amey Barapatre, Rana Forsati, Gang Luo, Fan Wu, Yuan Fang, Xue Deng, Blake Shepard, Ronak Shah, Linjun Yang, Hongzhi Li |
| 2025 | KDD | GCoT: Chain-of-Thought Prompt Learning for Graphs. | Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang |
| 2025 | KDD | Non-Homophilic Graph Pre-Training and Prompt Learning. | Xingtong Yu, Jie Zhang, Yuan Fang, Renhe Jiang |
| 2025 | NAACL | Exploring the Potential of Large Language Models for Heterophilic Graphs. | Yuxia Wu, Shujie Li, Yuan Fang, Chuan Shi |
| 2025 | WWW | Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling. | Heng Chang, Liang Gu, Cheng Hu, Zhinan Zhang, Hong Zhu, Yuhui Xu, Yuan Fang, Zhen Chen |
| 2025 | WWW | EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering. | Yuan Fang, Xiaofeng Feng, Geping Yang, Ruichu Cai, Yiyang Yang, Zhiguo Gong, Zhifeng Hao |
| 2025 | WWW | Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond. | Yuan Fang, Yuxia Wu, Xingtong Yu, Shirui Pan |
| 2025 | WWW | SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation. | Xingtong Yu, Zechuan Gong, Chang Zhou, Yuan Fang, Hui Zhang |
| 2025 | SIGIR | Retrieval Augmented Generation for Dynamic Graph Modeling. | Yuxia Wu, Lizi Liao, Yuan Fang |
| 2025 | WACV | Learning to Identify Seen, Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning. | Sethupathy Parameswaran, Yuan Fang, Chandan Gautam, Savitha Ramasamy, Xiaoli Li |
| 2025 | WSDM | A Contrastive Framework with User, Item and Review Alignment for Recommendation. | Hoang V. Dong, Yuan Fang, Hady W. Lauw |
| 2025 | WSDM | An Aspect Performance-aware Hypergraph Neural Network for Review-based Recommendation. | Junrui Liu, Tong Li, Di Wu, Zifang Tang, Yuan Fang, Zhen Yang |
| 2024 | AAAI | HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. | Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang |
| 2024 | ACL | SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning. | Zhihao Wen, Jie Zhang, Yuan Fang |
| 2024 | CIKM | Collaborative Cross-modal Fusion with Large Language Model for Recommendation. | Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang |
| 2024 | ECAI | Meta-Mechanisms for Combinatorial Auctions over Social Networks. | Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov |
| 2024 | EMNLP | Class Name Guided Out-of-Scope Intent Classification. | Chandan Gautam, Sethupathy Parameswaran, Aditya Kane, Yuan Fang, Savitha Ramasamy, Suresh Sundaram, Sunil Sahu, Xiaoli Li |
| 2024 | EMNLP | A Survey of Ontology Expansion for Conversational Understanding. | Jinggui Liang, Yuxia Wu, Yuan Fang, Hao Fei, Lizi Liao |
| 2024 | EMNLP | Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. | Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang |
| 2024 | EMNLP | AMPO: Automatic Multi-Branched Prompt Optimization. | Sheng Yang, Yurong Wu, Yan Gao, Zineng Zhou, Bin Zhu, Xiaodi Sun, Jian-Guang Lou, Zhiming Ding, Anbang Hu, Yuan Fang, Yunsong Li, Junyan Chen, Linjun Yang |
| 2024 | GLOBECOM | Sensing-assisted Near-field Energy Beam Focusing with ELAA Over Non-stationary Channels. | Li Zhang, Zixiang Ren, Yuan Fang, Ling Qiu, Jie Xu |
| 2024 | ICASSP | Cross-Attention-Guided Wavenet for Mel Spectrogram Reconstruction in The ICASSP 2024 Auditory EEG Challenge. | Yuan Fang, Hao Li, Xueliang Zhang, Fei Chen, Guanglai Gao |
| 2024 | ICIP | Dtpose: Learning Disentangled Token Representation For Effective Human Pose Estimation. | Shiyang Ye, Yuan Fang, Hong Liu, Hu Chen, Wenchao Du, Hongyu Yang |
| 2024 | IJCAI | Contrastive General Graph Matching with Adaptive Augmentation Sampling. | Jianyuan Bo, Yuan Fang |
| 2024 | IJCAI | Heterogeneous Graph Transformer with Poly-Tokenization. | Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi |
| 2024 | Interspeech | Cross-Attention-Guided WaveNet for EEG-to-MEL Spectrogram Reconstruction. | Hao Li, Yuan Fang, Xueliang Zhang, Fei Chen, Guanglai Gao |
| 2024 | KDD | A Learned Generalized Geodesic Distance Function-Based Approach for Node Feature Augmentation on Graphs. | Amitoz Azad, Yuan Fang |
| 2024 | WCNC | Deep Reinforcement Learning-based Beamforming Design in ISAC-assisted Vehicular Networks. | Yiyang Liu, Siyao Zhang, Xinmin Li, Yi Huang, Yuan Fang, Hui Cao |
| 2024 | WCNC | Training-Free Energy Beamforming Assisted by Wireless Sensing. | Li Zhang, Yuan Fang, Zixiang Ren, Ling Qiu, Jie Xu |
| 2024 | WWW | Diffusion-based Negative Sampling on Graphs for Link Prediction. | Trung-Kien Nguyen, Yuan Fang |
| 2024 | WWW | Lecture-style Tutorial: Towards Graph Foundation Models. | Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip S. Yu |
| 2024 | WWW | Collaborative-Enhanced Prediction of Spending on Newly Downloaded Mobile Games under Consumption Uncertainty. | Peijie Sun, Yifan Wang, Min Zhang, Chuhan Wu, Yan Fang, Hong Zhu, Yuan Fang, Meng Wang |
| 2024 | WWW | On the Feasibility of Simple Transformer for Dynamic Graph Modeling. | Yuxia Wu, Yuan Fang, Lizi Liao |
| 2024 | WWW | MultiGPrompt for Multi-Task Pre-Training and Prompting on Graphs. | Xingtong Yu, Chang Zhou, Yuan Fang, Xinming Zhang |
| 2023 | AAAI | On Generalized Degree Fairness in Graph Neural Networks. | Zemin Liu, Trung-Kien Nguyen, Yuan Fang |
| 2023 | AAAI | Learning to Count Isomorphisms with Graph Neural Networks. | Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang |
| 2023 | CIKM | Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. | Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao |
| 2023 | ECAI | Multi-Unit Auction over a Social Network. | Yuan Fang, Mengxiao Zhang, Jiamou Liu, Bakh Khoussainov, Mingyu Xiao |
| 2023 | GLOBECOM | Multi-UAV-Enabled Integrated Sensing and Communications: Joint UAV Placement and Power Control. | Weihang Ding, Changyu Chen, Yuan Fang, Ling Qiu, Xinmin Li, Xin Wang, Jie Xu |
| 2023 | GLOBECOM | Multi-IRS-Enabled Integrated Sensing and Communications with Point Targets. | Yuan Fang, Siyao Zhang, Xinmin Li, Jie Xu, Shuguang Cui |
| 2023 | IGARSS | Light-Weighted Explainable Dual Transformer Network for Hyperspectral Image Classification. | Linlin Xu, Yuan Fang, Xinwei Chen, David A. Clausi |
| 2023 | PIMRC | Fast Recovery from Multiple Link Failures in LEO Satellite Networks. | Zunzheng Zhang, Kanglian Zhao, Wenfeng Li, Yuan Fang |
| 2023 | WCNC | Joint Transmit and Receive Beamforming Design for Uplink RSMA Enabled Integrated Sensing and Communication Systems. | Chao Hu, Yuan Fang, Ling Qiu |
| 2023 | WWW | GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. | Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang |
| 2023 | WWW | Link Prediction on Latent Heterogeneous Graphs. | Trung-Kien Nguyen, Zemin Liu, Yuan Fang |
| 2023 | SIGIR | Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. | Zhihao Wen, Yuan Fang |
| 2023 | WACV | Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline. | Xinwei Chen, Katharine Andrea Scott, Mingzhe Jiang, Yuan Fang, Linlin Xu, David A. Clausi |
| 2023 | TrustCom | A Novel Uplink Coverage and Capacity Enhancement Scheme in NR TDD Network. | Bao Guo, Jinge Guo, Lufei Zhang, Yuan Fang, Yingtao Meng, Jiayu Li |
| 2023 | TrustCom | RedCap In-depth Research and Market Development Prospect. | Jinhu Shen, Rui Wang, Mingjie Yang, Liang Cui, Ao Shen, Bao Guo, Jiayu Li, Yuan Fang, Pengcheng Liu, Jimin Ling |
| 2022 | GLOBECOM | MIMO Integrated Sensing and Communication with Extended Target: CRB-Rate Tradeoff. | Haocheng Hua, Xianxin Song, Yuan Fang, Tony Xiao Han, Jie Xu |
| 2022 | GLOBECOM | Energy-Efficient Beamforming Design for Cooperative Double-IRS Aided Multi-User MIMO. | Chang Lu, Yuan Fang, Ling Qiu |
| 2022 | GLOBECOM | Fundamental CRB-Rate Tradeoff in Multi-antenna Multicast Channel with ISAC. | Zixiang Ren, Xianxin Song, Yuan Fang, Ling Qiu, Jie Xu |
| 2022 | ICDE | Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract). | Zemin Liu, Yuan Fang, Yong Liu, Vincent W. Zheng |
| 2022 | ICDE | Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract). | Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu |
| 2022 | IGARSS | Retrieval of Soil Moisture Profile above Water Table Using Scattered Wave Signal Structure. | Asem Melebari, Mark S. Haynes, Samuel Prager, Yuan Fang, Mahta Moghaddam |
| 2022 | IJCAI | End-to-End Open-Set Semi-Supervised Node Classification with Out-of-Distribution Detection. | Tiancheng Huang, Donglin Wang, Yuan Fang, Zhengyu Chen |
| 2022 | VTC | Age of Information Optimization in UAV-enabled Intelligent Transportation System via Deep Reinforcement Learning. | Xinmin Li, Jiahui Li, Baolin Yin, Jiaxin Yan, Yuan Fang |
| 2022 | WCNC | Dual Based Optimization Method for IRS-Aided UAV-Enabled SWIPT System. | Congcong Mei, Yuan Fang, Ling Qiu |
| 2022 | WCNC | Securing UAV Communication Based on Multi-Agent Deep Reinforcement Learning in the Presence of Smart UAV Eavesdropper. | Chaoyang Wen, Yuan Fang, Ling Qiu |
| 2022 | WWW | On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. | Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun |
| 2022 | WWW | TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. | Zhihao Wen, Yuan Fang |
| 2021 | AAAI | Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. | Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | AAAI | Learning to Pre-train Graph Neural Networks. | Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi |
| 2021 | CIKM | Contrastive Pre-Training of GNNs on Heterogeneous Graphs. | Xunqiang Jiang, Yuanfu Lu, Yuan Fang, Chuan Shi |
| 2021 | CIKM | Topic-aware Heterogeneous Graph Neural Network for Link Prediction. | Siyong Xu, Cheng Yang, Chuan Shi, Yuan Fang, Yuxin Guo, Tianchi Yang, Luhao Zhang, Maodi Hu |
| 2021 | HPCC | Model-fusion-based sustainable trust assessment method. | Liang Zhang, Yuan Fang, Jianqiao Sheng, Jingxuan Xu, Xin Ding |
| 2021 | IJCAI | Graph Deformer Network. | Wenting Zhao, Yuan Fang, Zhen Cui, Tong Zhang, Jian Yang |
| 2021 | IJCAI | Node-wise Localization of Graph Neural Networks. | Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | KDD | Pre-training on Large-Scale Heterogeneous Graph. | Xunqiang Jiang, Tianrui Jia, Yuan Fang, Chuan Shi, Zhe Lin, Hui Wang |
| 2021 | KDD | Tail-GNN: Tail-Node Graph Neural Networks. | Zemin Liu, Trung-Kien Nguyen, Yuan Fang |
| 2021 | KDD | The 4th Workshop on Heterogeneous Information Network Analysis and Applications (HENA 2021). | Chuan Shi, Yuan Fang, Yanfang Ye, Jiawei Zhang |
| 2021 | WCNC | Joint Computation Offloading and Communication Design for Secure UAV-Enabled MEC Systems. | Yiyang Li, Yuan Fang, Ling Qiu |
| 2021 | WCNC | Deep Learning-Based channel estimation with SRGAN in OFDM Systems. | Siqiang Zhao, Yuan Fang, Ling Qiu |
| 2021 | SIGIR | Meta-Inductive Node Classification across Graphs. | Zhihao Wen, Yuan Fang, Zemin Liu |
| 2021 | WISE | Event Detection in Social Media via Graph Neural Network. | Wang Gao, Yuan Fang, Lin Li, Xiaohui Tao |
| 2020 | CIKM | TPR: Text-aware Preference Ranking for Recommender Systems. | Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim |
| 2020 | CIKM | Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks. | Zemin Liu, Wentao Zhang, Yuan Fang, Xinming Zhang, Steven C. H. Hoi |
| 2020 | ECCV | Adaptive Task Sampling for Meta-learning. | Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi |
| 2020 | IJCAI | Vertex Weighting-Based Tabu Search for p-Center Problem. | Qingyun Zhang, Zhipeng L, Zhouxing Su, Chumin Li, Yuan Fang, Fuda Ma |
| 2020 | ISPA | Recognition and Optimization of Atmospheric Duct in TD-LTE System Based on Convolutional Neural Network. | Jinhu Shen, Ji-Xiang Liu, Jing-Lei Zuo, Wen-Bo Ding, Ao Shen, Yuan Fang, Yang Zhang, Xi-Dian Wang, Feng Luo |
| 2020 | KDD | Meta-learning on Heterogeneous Information Networks for Cold-start Recommendation. | Yuanfu Lu, Yuan Fang, Chuan Shi |
| 2020 | SMC | Local Search based on a New Neighborhood for Routing and Wavelength Assignment. | Yuan Fang, Zhipeng L, Zhouxing Su, Yang Wang, Tiancheng Zhang, Qingyun Zhang |
| 2020 | SIGIR | BiANE: Bipartite Attributed Network Embedding. | Wentao Huang, Yuchen Li, Yuan Fang, Ju Fan, Hongxia Yang |
| 2020 | VCIP | UGNet: Underexposed Images Enhancement Network based on Global Illumination Estimation. | Yuan Fang, Wenzhe Zhu, Qing Zhu |
| 2020 | SDM | Multiplex Memory Network for Collaborative Filtering. | Xunqiang Jiang, Binbin Hu, Yuan Fang, Chuan Shi |
| 2019 | HPCC | A Data-Driven Three-Dimensional RSS Model for Device-Free Localization and Tracking. | Guo-li Wang, Xiao-bing Hong, Xue-mei Guo, Yuan Fang |
| 2019 | IJCAI | Correlation-Sensitive Next-Basket Recommendation. | Duc-Trong Le, Hady W. Lauw, Yuan Fang |
| 2019 | KDD | Adversarial Learning on Heterogeneous Information Networks. | Binbin Hu, Yuan Fang, Chuan Shi |
| 2018 | APWEB | Spatial Co-location Pattern Mining Based on Density Peaks Clustering and Fuzzy Theory. | Yuan Fang, Lizhen Wang, Teng Hu |
| 2018 | APWEB | DFCPM: A Dominant Feature Co-location Pattern Miner. | Yuan Fang, Lizhen Wang, Teng Hu, Xiaoxuan Wang |
| 2018 | APWEB | Discovering Congestion Propagation Patterns by Co-location Pattern Mining. | Ying He, Lizhen Wang, Yuan Fang, Yurui Li |
| 2018 | ICDM | Heterogeneous Embedding Propagation for Large-Scale E-Commerce User Alignment. | Vincent W. Zheng, Mo Sha, Yuchen Li, Hongxia Yang, Yuan Fang, Zhenjie Zhang, Kian-Lee Tan, Kevin Chen-Chuan Chang |
| 2018 | IJCAI | Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation. | Duc-Trong Le, Hady W. Lauw, Yuan Fang |
| 2018 | WISE | A Parallel Joinless Algorithm for Co-location Pattern Mining Based on Group-Dependent Shard. | Peizhong Yang, Lizhen Wang, Xiaoxuan Wang, Yuan Fang |
| 2018 | SERA | Time Series Clustering via NMF in Networks. | Guowang Du, Lihua Zhou, Yuan Fang, Ming Yang |
| 2017 | DASFAA | Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities. | Lizhen Wang, Wanguo Jiang, Hongmei Chen, Yuan Fang |
| 2017 | ICIP | Region average pooling for context-aware object detection. | Kingsley Kuan, Gaurav Manek, Jie Lin, Yuan Fang, Vijay Chandrasekhar |
| 2017 | ICNC | Game influence diagrams with interval-valued utilities. | Changchun Ren, Lihua Zhou, Yuan Fang, Lizhen Wang |
| 2017 | IJCAI | Object Detection Meets Knowledge Graphs. | Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar |
| 2017 | IJCAI | Basket-Sensitive Personalized Item Recommendation. | Duc-Trong Le, Hady Wirawan Lauw, Yuan Fang |
| 2017 | PAKDD | Mining Competitive Pairs Hidden in Co-location Patterns from Dynamic Spatial Databases. | Junli Lu, Lizhen Wang, Yuan Fang, Momo Li |
| 2017 | WISE | Mining Co-location Patterns with Dominant Features. | Yuan Fang, Lizhen Wang, Xiaoxuan Wang, Lihua Zhou |
| 2016 | ICDE | Semantic proximity search on graphs with metagraph-based learning. | Yuan Fang, Wenqing Lin, Vincent Wenchen Zheng, Min Wu, Kevin Chen-Chuan Chang, Xiaoli Li |
| 2016 | ICDE | Learning to query: Focused web page harvesting for entity aspects. | Yuan Fang, Vincent W. Zheng, Kevin Chen-Chuan Chang |
| 2016 | IGARSS | Super-resolution reconstruction of hyperspectral imagery using an spectral unmixing based representational model. | Xiao Sun, Linlin Xu, Longshan Yang, Yujia Chen, Yuan Fang, Junhuan Peng |
| 2016 | IGARSS | Denoising of hyperspectral imagery using an intrinsic spectral representation model with spatial smoothness constraint. | Longshan Yang, Linlin Xu, Xiao Sun, Yuan Fang, Yujia Chen, Junhuan Peng |
| 2016 | IGARSS | A novel unsupervised classification approach for hyperspectral imagery based on spectral mixture model and MARKOV random field. | Yuan Fang, Linlin Xu, Xiao Sun, Longshan Yang, Yujia Chen, Junhuan Peng |
| 2016 | VCIP | Sparse similarity metric learning for kinship verification. | Yuan Fang, Yan Yan, Si Chen, Hanzi Wang, Chang Shu |
| 2015 | ICDM | IntelligShop: Enabling Intelligent Shopping in Malls through Location-Based Augmented Reality. | Aditi Adhikari, Vincent W. Zheng, Hong Cao, Miao Lin, Yuan Fang, Kevin Chen-Chuan Chang |
| 2014 | APSCC | iConCube: A Location-Based Mobile Cloud System for Meeting Organizers and Participants. | Chi Guo, Xuan Liu, Yuan Fang, Jingsong Cui |
| 2014 | ICML | Graph-based Semi-supervised Learning: Realizing Pointwise Smoothness Probabilistically. | Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw |
| 2013 | DSD | Adaptive Equalizer Training for High-Speed Low-Power Communication Systems. | Yuan Fang, Ling Chen, Ashok Jaiswal, Klaus Hofmann, Peter Gregorius |
| 2013 | DSD | Adaptive Low-Power Synchronization Technique for Multiple Source-Synchronous Clocks in High-Speed Communication Systems. | Ashok Jaiswal, Yuan Fang, Peter Gregorius, Klaus Hofmann |
| 2013 | ICDE | RoundTripRank: Graph-based proximity with importance and specificity? | Yuan Fang, Kevin Chen-Chuan Chang, Hady Wirawan Lauw |
| 2012 | SIGIR | Confidence-aware graph regularization with heterogeneous pairwise features. | Yuan Fang, Bo-June Paul Hsu, Kevin Chen-Chuan Chang |
| 2011 | DEXA | Privacy beyond Single Sensitive Attribute. | Yuan Fang, Mafruz Zaman Ashrafi, See-Kiong Ng |
| 2011 | WSDM | Searching patterns for relation extraction over the web: rediscovering the pattern-relation duality. | Yuan Fang, Kevin Chen-Chuan Chang |
| 2010 | DASFAA | Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains. | Yuan Fang, Chee-Yong Chan |
| 1993 | ICASSP | Text independent speaker identification using fuzzy mathematical algorithm. | Zhong-Xuan Yuan, Chong-Zhi Yu, Yuan Fang |