Yang, Qiang

140 publications

CVPR 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor Hao Yu, Xin Yang, Le Zhang, Hanlin Gu, Tianrui Li, Lixin Fan, Qiang Yang

ICML 2025 PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs Jianqing Zhang, Yang Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang

IJCAI 2024 A Survey on Cross-Domain Sequential Recommendation Shu Chen, Zitao Xu, Weike Pan, Qiang Yang, Zhong Ming

AAAI 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang

ECCV 2024 Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang, Jin Zhong, Hanlin Gu, Zhongqi Lu, Xingxing Tang, Gang Dai, Shuangping Huang, Lixin Fan, Qiang Yang

ECML-PKDD 2024 Label Privacy Source Coding in Vertical Federated Learning Dashan Gao, Sheng Wan, Hanlin Gu, Lixin Fan, Xin Yao, Qiang Yang

ECML-PKDD 2024 Secure Dataset Condensation for Privacy-Preserving and Efficient Vertical Federated Learning Dashan Gao, Canhui Wu, Xiaojin Zhang, Xin Yao, Qiang Yang

NeurIPS 2024 Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

ICML 2024 The Good, the Bad, and Why: Unveiling Emotions in Generative AI Cheng Li, Jindong Wang, Yixuan Zhang, Kaijie Zhu, Xinyi Wang, Wenxin Hou, Jianxun Lian, Fang Luo, Qiang Yang, Xing Xie

IJCAI 2024 Unlearning During Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang

NeurIPSW 2024 ZOOPFL: Exploring Black-Box Foundation Models for Personalized Federated Learning Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie, Xiangyang Ji

AAAI 2023 Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla, Xiangliang Zhang

IJCAI 2023 FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang

TMLR 2023 Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks Zhen Xu, Quanming Yao, Yong Li, Qiang Yang

AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare Zelei Liu, Yuanyuan Chen, Yansong Zhao, Han Yu, Yang Liu, Renyi Bao, Jinpeng Jiang, Zaiqing Nie, Qian Xu, Qiang Yang

IJCAI 2022 FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang

ICML 2022 Frustratingly Easy Transferability Estimation Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei

IJCAI 2022 On the Channel Pruning Using Graph Convolution Network for Convolutional Neural Network Acceleration Di Jiang, Yuan Cao, Qiang Yang

AAAI 2021 A Health-Friendly Speaker Verification System Supporting Mask Wearing Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang

FnTML 2021 Advances and Open Problems in Federated Learning Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao

MLOSS 2021 FATE: An Industrial Grade Platform for Collaborative Learning with Data Protection Yang Liu, Tao Fan, Tianjian Chen, Qian Xu, Qiang Yang

CVPR 2021 Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attacks Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang

IJCAI 2020 A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang

IJCAI 2020 A Multi-Player Game for Studying Federated Learning Incentive Schemes Kang Loon Ng, Zichen Chen, Zelei Liu, Han Yu, Yang Liu, Qiang Yang

AAAI 2020 FedVision: An Online Visual Object Detection Platform Powered by Federated Learning Yang Liu, Anbu Huang, Yun Luo, He Huang, Youzhi Liu, Yuanyuan Chen, Lican Feng, Tianjian Chen, Han Yu, Qiang Yang

NeurIPS 2020 Graph Random Neural Networks for Semi-Supervised Learning on Graphs Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, Jie Tang

IJCAI 2019 Cross-City Transfer Learning for Deep Spatio-Temporal Prediction Leye Wang, Xu Geng, Xiaojuan Ma, Feng Liu, Qiang Yang

AAAI 2019 Ethically Aligned Mobilization of Community Effort to Reposition Shared Bikes Zelei Liu, Han Yu, Leye Wang, Liang Hu, Qiang Yang

IJCAI 2019 Fair and Explainable Dynamic Engagement of Crowd Workers Han Yu, Yang Liu, Xiguang Wei, Chuyu Zheng, Tianjian Chen, Qiang Yang, Xiong Peng

MLJ 2019 Millionaire: A Hint-Guided Approach for Crowdsourcing Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama

IJCAI 2019 Multi-Agent Visualization for Explaining Federated Learning Xiguang Wei, Quan Li, Yang Liu, Han Yu, Tianjian Chen, Qiang Yang

AAAI 2019 Multi-Fidelity Automatic Hyper-Parameter Tuning via Transfer Series Expansion Yi-Qi Hu, Yang Yu, Wei-Wei Tu, Qiang Yang, Yuqiang Chen, Wenyuan Dai

IJCAI 2019 Privacy-Preserving Stacking with Application to Cross-Organizational Diabetes Prediction Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

AAAI 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting Xu Geng, Yaguang Li, Leye Wang, Lingyu Zhang, Qiang Yang, Jieping Ye, Yan Liu

IJCAI 2018 Building Ethics into Artificial Intelligence Han Yu, Zhiqi Shen, Chunyan Miao, Cyril Leung, Victor R. Lesser, Qiang Yang

AAAI 2018 Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Qiang Yang

NeurIPS 2018 Learning to Multitask Yu Zhang, Ying Wei, Qiang Yang

AAAI 2018 Personalizing a Dialogue System with Transfer Reinforcement Learning Kaixiang Mo, Yu Zhang, Shuangyin Li, Jiajun Li, Qiang Yang

AAAI 2018 SmartHS: An AI Platform for Improving Government Service Provision Yongqing Zheng, Han Yu, Lizhen Cui, Chunyan Miao, Cyril Leung, Qiang Yang

ICML 2018 Transfer Learning via Learning to Transfer Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang

AAAI 2018 Transferable Contextual Bandit for Cross-Domain Recommendation Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang

IJCAI 2017 Deep Neural Networks for High Dimension, Low Sample Size Data Bo Liu, Ying Wei, Yu Zhang, Qiang Yang

AAAI 2017 Distant Domain Transfer Learning Ben Tan, Yu Zhang, Sinno Jialin Pan, Qiang Yang

IJCAI 2017 End-to-End Adversarial Memory Network for Cross-Domain Sentiment Classification Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang

AAAI 2017 Learning Sparse Task Relations in Multi-Task Learning Yu Zhang, Qiang Yang

AAAI 2017 Transitive Hashing Network for Heterogeneous Multimedia Retrieval Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang

IJCAI 2017 Understanding How Feature Structure Transfers in Transfer Learning Tongliang Liu, Qiang Yang, Dacheng Tao

IJCAI 2016 Collaborative Evolution for User Profiling in Recommender Systems Zhongqi Lu, Sinno Jialin Pan, Yong Li, Jie Jiang, Qiang Yang

UAI 2016 Correlated Tag Learning in Topic Model Shuangyin Li, Rong Pan, Yu Zhang, Qiang Yang

AAAI 2016 Infusing Human Factors into Algorithmic Crowdsourcing Han Yu, Chunyan Miao, Zhiqi Shen, Jun Lin, Cyril Leung, Qiang Yang

AAAI 2016 Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang

IJCAI 2016 Matrix Factorization+ for Movie Recommendation Lili Zhao, Zhongqi Lu, Sinno Jialin Pan, Qiang Yang

AAAI 2016 Multi-Domain Active Learning for Recommendation Zihan Zhang, Xiaoming Jin, Lianghao Li, Guiguang Ding, Qiang Yang

AAAI 2015 Content-Based Collaborative Filtering for News Topic Recommendation Zhongqi Lu, Zhicheng Dou, Jianxun Lian, Xing Xie, Qiang Yang

AAAI 2015 Efficient Task Sub-Delegation for Crowdsourcing Han Yu, Chunyan Miao, Zhiqi Shen, Cyril Leung, Yiqiang Chen, Qiang Yang

IJCAI 2015 Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 Qiang Yang, Michael J. Wooldridge

IJCAI 2015 Quantized Correlation Hashing for Fast Cross-Modal Search Botong Wu, Qiang Yang, Wei-Shi Zheng, Yizhou Wang, Jingdong Wang

AAAI 2015 RAIN: Social Role-Aware Information Diffusion Yang Yang, Jie Tang, Cane Wing-ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, Qiang Yang

AAAI 2015 Spectral Label Refinement for Noisy and Missing Text Labels Yangqiu Song, Chenguang Wang, Ming Zhang, Hailong Sun, Qiang Yang

AAAI 2014 Source Free Transfer Learning for Text Classification Zhongqi Lu, Yin Zhu, Sinno Jialin Pan, Evan Wei Xiang, Yujing Wang, Qiang Yang

AAAI 2013 Active Transfer Learning for Cross-System Recommendation Lili Zhao, Sinno Jialin Pan, Evan Wei Xiang, Erheng Zhong, Zhongqi Lu, Qiang Yang

ICML 2013 Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels Kai Zhang, Vincent Zheng, Qiaojun Wang, James Kwok, Qiang Yang, Ivan Marsic

ICML 2013 General Functional Matrix Factorization Using Gradient Boosting Tianqi Chen, Hang Li, Qiang Yang, Yong Yu

IJCAI 2013 Online Hashing Long-Kai Huang, Qiang Yang, Wei-Shi Zheng

IJCAI 2013 Smart Hashing Update for Fast Response Qiang Yang, Long-Kai Huang, Wei-Shi Zheng, Yingbiao Ling

AAAI 2012 A Mouse-Trajectory Based Model for Predicting Query-URL Relevance Hengjie Song, Ruoxue Liao, Xiangliang Zhang, Chunyan Miao, Qiang Yang

NeurIPS 2012 Action-Model Based Multi-Agent Plan Recognition Hankz H. Zhuo, Qiang Yang, Subbarao Kambhampati

AAAI 2012 Discovering Spammers in Social Networks Yin Zhu, Xiao Wang, Erheng Zhong, Nathan Nan Liu, He Li, Qiang Yang

ECML-PKDD 2012 Discriminative Factor Alignment Across Heterogeneous Feature Space Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu

AAAI 2012 Transfer Learning in Collaborative Filtering with Uncertain Ratings Weike Pan, Evan Wei Xiang, Qiang Yang

AAAI 2012 Transfer Learning with Graph Co-Regularization Mingsheng Long, Jianmin Wang, Guiguang Ding, Dou Shen, Qiang Yang

AAAI 2011 A Whole Page Click Model to Better Interpret Search Engine Click Data Weizhu Chen, Zhanglong Ji, Si Shen, Qiang Yang

AAAI 2011 Active Dual Collaborative Filtering with Both Item and Attribute Feedback Luheng He, Nathan Nan Liu, Qiang Yang

IJCAI 2011 Distance Metric Learning Under Covariate Shift Bin Cao, Xiaochuan Ni, Jian-Tao Sun, Gang Wang, Qiang Yang

AAAI 2011 Heterogeneous Transfer Learning for Image Classification Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang

IJCAI 2011 Incorporating Reviewer and Product Information for Review Rating Prediction Fangtao Li, Nathan Nan Liu, Hongwei Jin, Kai Zhao, Qiang Yang, Xiaoyan Zhu

IJCAI 2011 Source-Selection-Free Transfer Learning Evan Wei Xiang, Sinno Jialin Pan, Weike Pan, Jian Su, Qiang Yang

AAAI 2011 Transfer Learning by Structural Analogy Hua-Yan Wang, Qiang Yang

IJCAI 2011 Transfer Learning for Activity Recognition via Sensor Mapping Derek Hao Hu, Qiang Yang

IJCAI 2011 Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks Weike Pan, Nathan Nan Liu, Evan Wei Xiang, Qiang Yang

IJCAI 2011 User-Dependent Aspect Model for Collaborative Activity Recognition Vincent Wenchen Zheng, Qiang Yang

AAAI 2010 Adaptive Transfer Learning Bin Cao, Sinno Jialin Pan, Yu Zhang, Dit-Yan Yeung, Qiang Yang

AAAI 2010 Clickthrough Log Analysis by Collaborative Ranking Bin Cao, Dou Shen, Kuansan Wang, Qiang Yang

AAAI 2010 Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach Vincent Wenchen Zheng, Bin Cao, Yu Zheng, Xing Xie, Qiang Yang

ECML-PKDD 2010 Cross Validation Framework to Choose Amongst Models and Datasets for Transfer Learning Erheng Zhong, Wei Fan, Qiang Yang, Olivier Verscheure, Jiangtao Ren

ACML 2010 Preface Masashi Sugiyama, Qiang Yang

ICML 2010 Transfer Learning for Collective Link Prediction in Multiple Heterogenous Domains Bin Cao, Nathan Nan Liu, Qiang Yang

AAAI 2010 Transfer Learning in Collaborative Filtering for Sparsity Reduction Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Yang

AAAI 2010 Visual Contextual Advertising: Bringing Textual Advertisements to Images Yuqiang Chen, Ou Jin, Gui-Rong Xue, Jia Chen, Qiang Yang

IJCAI 2009 Abnormal Activity Recognition Based on HDP-HMM Models Derek Hao Hu, Xian-Xing Zhang, Jie Yin, Vincent Wenchen Zheng, Qiang Yang

IJCAI 2009 Activity Recognition: Linking Low-Level Sensors to High-Level Intelligence Qiang Yang

IJCAI 2009 Can Movies and Books Collaborate? Cross-Domain Collaborative Filtering for Sparsity Reduction Bin Li, Qiang Yang, Xiangyang Xue

IJCAI 2009 Domain Adaptation via Transfer Component Analysis Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qiang Yang

ICML 2009 EigenTransfer: A Unified Framework for Transfer Learning Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu

IJCAI 2009 Learning HTN Method Preconditions and Action Models from Partial Observations Hankz Hankui Zhuo, Derek Hao Hu, Chad Hogg, Qiang Yang, Hector Muñoz-Avila

ECML-PKDD 2009 Relaxed Transfer of Different Classes via Spectral Partition Xiaoxiao Shi, Wei Fan, Qiang Yang, Jiangtao Ren

IJCAI 2009 Spatio-Temporal Event Detection Using Dynamic Conditional Random Fields Jie Yin, Derek Hao Hu, Qiang Yang

ICML 2009 Transfer Learning for Collaborative Filtering via a Rating-Matrix Generative Model Bin Li, Qiang Yang, Xiangyang Xue

ICML 2008 Adaptive P-Posterior Mixture-Model Kernels for Multiple Instance Learning Hua-Yan Wang, Qiang Yang, Hongbin Zha

AAAI 2008 CIGAR: Concurrent and Interleaving Goal and Activity Recognition Derek Hao Hu, Qiang Yang

AAAI 2008 Constraint Projections for Ensemble Learning Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang

ICML 2008 Dirichlet Component Analysis: Feature Extraction for Compositional Data Hua-Yan Wang, Qiang Yang, Hong Qin, Hongbin Zha

ECML-PKDD 2008 Learning Bidirectional Similarity for Collaborative Filtering Bin Cao, Jian-Tao Sun, Jianmin Wu, Qiang Yang, Zheng Chen

AAAI 2008 Mining Translations of Web Queries from Web Click-Through Data Rong Hu, Weizhu Chen, Jian Hu, Yansheng Lu, Zheng Chen, Qiang Yang

ICML 2008 Self-Taught Clustering Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu

AAAI 2008 Transfer Learning via Dimensionality Reduction Sinno Jialin Pan, James T. Kwok, Qiang Yang

AAAI 2008 Transferring Localization Models Across Space Sinno Jialin Pan, Dou Shen, Qiang Yang, James T. Kwok

AAAI 2008 Transferring Localization Models over Time Vincent Wenchen Zheng, Evan Wei Xiang, Qiang Yang, Dou Shen

AAAI 2008 Transferring Multi-Device Localization Models Using Latent Multi-Task Learning Vincent Wenchen Zheng, Sinno Jialin Pan, Qiang Yang, Jeffrey Junfeng Pan

NeurIPS 2008 Translated Learning: Transfer Learning Across Different Feature Spaces Wenyuan Dai, Yuqiang Chen, Gui-rong Xue, Qiang Yang, Yong Yu

AAAI 2007 Adaptive Localization in a Dynamic WiFi Environment Through Multi-View Learning Sinno Jialin Pan, James T. Kwok, Qiang Yang, Jeffrey Junfeng Pan

ICML 2007 Boosting for Transfer Learning Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu

IJCAI 2007 Co-Localization from Labeled and Unlabeled Data Using Graph Laplacian Jeffrey Junfeng Pan, Qiang Yang

IJCAI 2007 Detect and Track Latent Factors with Online Nonnegative Matrix Factorization Bin Cao, Dou Shen, Jian-Tao Sun, Xuanhui Wang, Qiang Yang, Zheng Chen

IJCAI 2007 Document Summarization Using Conditional Random Fields Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng Chen

ICML 2007 Feature Selection in a Kernel Space Bin Cao, Dou Shen, Jian-Tao Sun, Qiang Yang, Zheng Chen

AAAI 2007 Mining Web Query Hierarchies from Clickthrough Data Dou Shen, Min Qin, Weizhu Chen, Qiang Yang, Zheng Chen

AAAI 2007 Online Co-Localization in Indoor Wireless Networks by Dimension Reduction Jeffrey Junfeng Pan, Qiang Yang, Sinno Jialin Pan

AAAI 2007 Semi-Supervised Learning with Very Few Labeled Training Examples Zhi-Hua Zhou, De-Chuan Zhan, Qiang Yang

AAAI 2007 Transferring Naive Bayes Classifiers for Text Classification Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu

AAAI 2006 A Manifold Regularization Approach to Calibration Reduction for Sensor-Network Based Tracking Jeffrey Junfeng Pan, Qiang Yang, Hong Chang, Dit-Yan Yeung

IJCAI 2005 Accurate and Low-Cost Location Estimation Using Kernels Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang, Yiqiang Chen

AAAI 2005 Activity Recognition Through Goal-Based Segmentation Jie Yin, Dou Shen, Qiang Yang, Ze-Nian Li

AAAI 2005 Competence Driven Case-Base Mining Rong Pan, Qiang Yang, Jeffrey Junfeng Pan, Lei Li

CVPR 2005 Discriminant Analysis with Tensor Representation Shuicheng Yan, Dong Xu, Qiang Yang, Lei Zhang, Xiaoou Tang, HongJiang Zhang

AAAI 2005 Multiple-Goal Recognition from Low-Level Signals Xiaoyong Chai, Qiang Yang

ECML-PKDD 2005 Simple Test Strategies for Cost-Sensitive Decision Trees Shengli Sheng, Charles X. Ling, Qiang Yang

ICML 2004 Decision Trees with Minimal Costs Charles X. Ling, Qiang Yang, Jianning Wang, Shichao Zhang

AAAI 2004 High-Level Goal Recognition in a Wireless LAN Jie Yin, Xiaoyong Chai, Qiang Yang

IJCAI 1999 Dynamic Refinement of Feature Weights Using Quantitative Introspective Learning Zhong Zhang, Qiang Yang

IJCAI 1999 Remembering to Add: Competence-Preserving Case-Addition Policies for Case Base Maintenance Jun Zhu, Qiang Yang

IJCAI 1995 Planning with Primary Effects: Experiments and Analysis Eugene Fink, Qiang Yang

IJCAI 1993 Characterizing and Automatically Finding Primary Effects in Planning Eugene Fink, Qiang Yang

AAAI 1992 The Expected Value of Hierarchical Problem-Solving Fahiem Bacchus, Qiang Yang

AAAI 1991 A Quantitative Theory for Plan Merging David E. Foulser, Ming Li, Qiang Yang

AAAI 1991 Characterizing Abstraction Hierarchies for Planning Craig A. Knoblock, Josh D. Tenenberg, Qiang Yang

IJCAI 1991 The Downward Refinement Property Fahiem Bacchus, Qiang Yang

AAAI 1990 ABTWEAK: Abstracting a Nonlinear, Least Commitment Planner Qiang Yang, Josh D. Tenenberg

AAAI 1990 An Algebraic Approach to Conflict Resolution in Planning Qiang Yang

IJCAI 1989 Preprocessing Search Spaces for Branch and Bound Search Qiang Yang, Dana S. Nau