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2020 – today
- 2024
[j27]Nianming Ban, Shanghong Xie
, Chao Qu, Xuening Chen, Jiahui Pan:
Multifunctional robot based on multimodal brain-machine interface. Biomed. Signal Process. Control. 91: 106063 (2024)- [j26]Chao Qu, Xiaoyu Chen, Qihan Xu, Jing Han:
Frequency-Aware Degradation Modeling for Real-World Thermal Image Super-Resolution. Entropy 26(3): 209 (2024) - [j25]Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin:
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2974-2986 (2024) - [c43]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu:
ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. CIKM 2024: 3989-3993 - [c42]Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi:
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. EMNLP (Industry Track) 2024: 755-762 - [c41]Junyi An, Chao Qu, Zhipeng Zhou, Fenglei Cao, Yinghui Xu, Yuan Qi, Furao Shen:
Hybrid Directional Graph Neural Network for Molecules. ICLR 2024 - [c40]Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu:
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. ICLR 2024 - [c39]Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu:
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. ICRA 2024: 2112-2118 - [i27]Haoyu Wang, Xiaoyu Tan, Xihe Qiu, Chao Qu:
Subequivariant Reinforcement Learning Framework for Coordinated Motion Control. CoRR abs/2403.15100 (2024) - [i26]Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu, Yujie Xiong, Yuan Cheng, Yinghui Xu, Wei Chu, Yuan Qi:
Towards Collaborative Intelligence: Propagating Intentions and Reasoning for Multi-Agent Coordination with Large Language Models. CoRR abs/2407.12532 (2024) - [i25]Xiaoyu Tan, Yongxin Deng, Xihe Qiu, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi:
Thought-Like-Pro: Enhancing Reasoning of Large Language Models through Self-Driven Prolog-based Chain-of-Though. CoRR abs/2407.14562 (2024) - [i24]Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu:
CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. CoRR abs/2409.03381 (2024) - [i23]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR abs/2409.14945 (2024) - 2023
- [c38]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI 2023: 9543-9551 - [c37]Zhenting Qi, Xiaoyu Tan, Chao Qu, Yinghui Xu, Yuan Qi:
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels. ACL (industry) 2023: 390-403 - [c36]Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi:
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. EMNLP (Industry Track) 2023: 471-482 - [c35]Xiaoyu Tan, Shaojie Shi, Xihe Qiu, Chao Qu, Zhenting Qi, Yinghui Xu, Yuan Qi:
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness. EMNLP (Industry Track) 2023: 650-662 - [c34]Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li:
Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. ICCV 2023: 21282-21291 - [c33]Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi:
Provably Invariant Learning without Domain Information. ICML 2023: 33563-33580 - [c32]Chao Qu, Rongqian Zhou, Ke Liu, Zhuo Yan, Haipeng Qu:
BSGAT: A Graph Attention Network for Binary Code Similarity Detection. PRDC 2023: 161-167 - [c31]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP 2023: 205-211 - [i22]Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu:
LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. CoRR abs/2309.15458 (2023) - [i21]Zhenting Qi, Xiaoyu Tan, Shaojie Shi, Chao Qu, Yinghui Xu, Yuan Qi:
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching. CoRR abs/2312.05621 (2023) - 2022
- [j24]Xu Liu, Steven W. Chen, Guilherme V. Nardari, Chao Qu, Fernando Cladera Ojeda, Camillo J. Taylor, Vijay Kumar:
Challenges and Opportunities for Autonomous Micro-UAVs in Precision Agriculture. IEEE Micro 42(1): 61-68 (2022) - [j23]Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Steven W. Chen, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar:
Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy. IEEE Robotics Autom. Lett. 7(2): 5512-5519 (2022) - [c30]Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor:
LLOL: Low-Latency Odometry for Spinning Lidars. ICRA 2022: 4149-4155 - [c29]Nianming Ban, Chao Qu, Daqin Feng, Jiahui Pan:
A Hybrid Brain-Computer Interface for Smart Car Control. HBAI@IJCAI 2022: 135-147 - [c28]Chao Qu, Shreyas S. Shivakumar, Ian D. Miller, Camillo J. Taylor:
DSOL: A Fast Direct Sparse Odometry Scheme. IROS 2022: 10587-10594 - [c27]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 2022: 4290-4299 - [i20]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR abs/2201.12569 (2022) - [i19]Chao Qu, Shreyas S. Shivakumar, Ian D. Miller, Camillo J. Taylor:
DSOL: A Fast Direct Sparse Odometry Scheme. CoRR abs/2203.08182 (2022) - [i18]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR abs/2205.15795 (2022) - 2021
- [c26]Chao Qu, Wenxin Liu, Camillo J. Taylor:
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. ICCV 2021: 16127-16137 - [i17]Chao Qu, Wenxin Liu, Camillo J. Taylor:
Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. CoRR abs/2103.15254 (2021) - [i16]Xu Liu, Guilherme V. Nardari, Fernando Cladera Ojeda, Yuezhan Tao, Alex Zhou, Thomas Donnelly, Chao Qu, Steven W. Chen, Roseli A. F. Romero, Camillo J. Taylor, Vijay Kumar:
Large-scale Autonomous Flight with Real-time Semantic SLAM under Dense Forest Canopy. CoRR abs/2109.06479 (2021) - [i15]Chao Qu, Shreyas S. Shivakumar, Wenxin Liu, Camillo J. Taylor:
LLOL: Low-Latency Odometry for Spinning Lidars. CoRR abs/2110.01725 (2021) - 2020
- [j22]Hui Wang, Guohui Yuan, Xuegong Zhao, Lingbing Peng, Zhuoran Wang, Yanmin He, Chao Qu, Zhenming Peng:
Hard exudate detection based on deep model learned information and multi-feature joint representation for diabetic retinopathy screening. Comput. Methods Programs Biomed. 191: 105398 (2020) - [j21]Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. Francelin Romero, Vijay Kumar:
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory. IEEE Robotics Autom. Lett. 5(2): 612-619 (2020) - [j20]Yuanjian Lv, Zhen Peng, Chao Qu, Dahu Zhu:
An adaptive trajectory planning algorithm for robotic belt grinding of blade leading and trailing edges based on material removal profile model. Robotics Comput. Integr. Manuf. 66: 101987 (2020) - [c25]Chao Qu, Ty Nguyen, Camillo J. Taylor:
Depth Completion via Deep Basis Fitting. WACV 2020: 71-80 - [i14]Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song:
Intention Propagation for Multi-agent Reinforcement Learning. CoRR abs/2004.08883 (2020) - [i13]Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang:
Model Embedding Model-Based Reinforcement Learning. CoRR abs/2006.09234 (2020)
2010 – 2019
- 2019
- [c24]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. ICML 2019: 5251-5260 - [c23]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS 2019: 1182-1191 - [i12]Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong:
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR abs/1901.09326 (2019) - [i11]Chao Qu, Ty Nguyen, Camillo J. Taylor:
Depth Completion via Deep Basis Fitting. CoRR abs/1912.10336 (2019) - [i10]Steven W. Chen, Guilherme V. Nardari, Elijah S. Lee, Chao Qu, Xu Liu, Roseli A. F. Romero, Vijay Kumar:
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory. CoRR abs/1912.12726 (2019) - 2018
- [j19]Xiaoyan Yin, Chao Qu, Qianqian Wang, Fan Wu, Baoying Liu, Feng Chen, Xiaojiang Chen, Dingyi Fang:
Social Connection Aware Team Formation for Participatory Tasks. IEEE Access 6: 20309-20319 (2018) - [j18]Chao Qu, Fagui Liu, Dacheng Deng, Ruifen Yuan:
UOSM: user-oriented semi-automatic method of constructing domain ontology. Int. J. High Perform. Comput. Netw. 11(3): 173-180 (2018) - [j17]Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar:
Fast, autonomous flight in GPS-denied and cluttered environments. J. Field Robotics 35(1): 101-120 (2018) - [j16]Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan:
Blockchain Based Credibility Verification Method for IoT Entities. Secur. Commun. Networks 2018: 7817614:1-7817614:11 (2018) - [j15]Chao Qu, Ming Tao, Ruifen Yuan:
A Hypergraph-Based Blockchain Model and Application in Internet of Things-Enabled Smart Homes. Sensors 18(9): 2784 (2018) - [c22]Chao Qu, Ming Tao, Jie Zhang, Xiaoyu Hong, Ruifen Yuan:
A Semantic Web Based Intelligent IoT Model. ICA3PP (3) 2018: 186-195 - [c21]Ming Tao, Chao Qu, Wenhong Wei, Bin Zhou, Shuqiang Huang:
Hybrid Cloud Architecture for Cross-Platform Interoperability in Smart Homes. ICA3PP (3) 2018: 608-617 - [c20]Chao Qu, Yan Li, Huan Xu:
Non-convex Conditional Gradient Sliding. ICML 2018: 4205-4214 - [c19]Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar:
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. IROS 2018: 1045-1052 - [i9]Chao Qu, Yan Li, Huan Xu:
Fast Global Convergence via Landscape of Empirical Loss. CoRR abs/1802.04617 (2018) - [i8]Xu Liu, Steven W. Chen, Shreyas Aditya, Nivedha Sivakumar, Sandeep Dcunha, Chao Qu, Camillo J. Taylor, Jnaneshwar Das, Vijay Kumar:
Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion. CoRR abs/1804.00307 (2018) - [i7]Chao Qu, Shie Mannor, Huan Xu:
Nonlinear Distributional Gradient Temporal-Difference Learning. CoRR abs/1805.07732 (2018) - [i6]Yan Li, Chao Qu, Huan Xu:
Communication-Efficient Projection-Free Algorithm for Distributed Optimization. CoRR abs/1805.07841 (2018) - [i5]Yan Li, Chao Qu, Huan Xu:
Projection-Free Algorithms in Statistical Estimation. CoRR abs/1805.07844 (2018) - 2017
- [j14]Steven W. Chen, Shreyas S. Shivakumar, Sandeep Dcunha, Jnaneshwar Das, Edidiong Okon, Chao Qu, Camillo J. Taylor, Vijay Kumar:
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach. IEEE Robotics Autom. Lett. 2(2): 781-788 (2017) - [c18]Ming Tao, Jiaxing Li, Jie Zhang, Xiaoyu Hong, Chao Qu:
Vehicular Data Cloud Platform with 5G Support: Architecture, Services, and Challenges. CSE/EUC (1) 2017: 32-37 - [i4]Chao Qu, Huan Xu:
Linear convergence of SDCA in statistical estimation. CoRR abs/1701.07808 (2017) - [i3]Kartik Mohta, Michael Watterson, Yash Mulgaonkar, Sikang Liu, Chao Qu, Anurag Makineni, Kelsey Saulnier, Ke Sun, Alex Zihao Zhu, Jeffrey A. Delmerico, Konstantinos Karydis, Nikolay Atanasov, Giuseppe Loianno, Davide Scaramuzza, Kostas Daniilidis, Camillo Jose Taylor, Vijay Kumar:
Fast, Autonomous Flight in GPS-Denied and Cluttered Environments. CoRR abs/1712.02052 (2017) - 2016
- [j13]Chao Qu, Ming Tao, Fagui Liu, Ruifen Yuan:
Design and application of top ontologies for the transactions on IoT. Int. J. Embed. Syst. 8(2/3): 155-163 (2016) - [j12]Chao Qu, Fagui Liu, Ming Tao, Dacheng Deng:
An OWL-S based specification model of dynamic entity services for Internet of Things. J. Ambient Intell. Humaniz. Comput. 7(1): 73-82 (2016) - [c17]Chao Qu, Huan Xu, Chong Jin Ong:
Fast Rate Analysis of Some Stochastic Optimization Algorithms. ICML 2016: 662-670 - [i2]Chao Qu, Huan Xu:
Linear Convergence of SVRG in Statistical Estimation. CoRR abs/1611.01957 (2016) - 2015
- [j11]Ming Tao, Fagui Liu, Chao Qu:
Optimizing Unsatisfactory Handover Trigger in Heterogeneous Vehicular Networks. Int. J. Distributed Sens. Networks 11: 205879:1-205879:9 (2015) - [j10]Chao Qu, Fagui Liu, Ming Tao:
Ontologies for the Transactions on IoT. Int. J. Distributed Sens. Networks 11: 934541:1-934541:12 (2015) - [j9]Ming Tao, Fagui Liu, Chao Qu:
Predictive Timely Trigger and Performance Optimization for Deterministic Handovers. Int. J. Wirel. Inf. Networks 22(2): 97-104 (2015) - [j8]Giuseppe Loianno, Gareth Cross, Chao Qu, Yash Mulgaonkar, Joel A. Hesch, Vijay Kumar:
Flying Smartphones: Automated Flight Enabled by Consumer Electronics. IEEE Robotics Autom. Mag. 22(2): 24-32 (2015) - [c16]Jnaneshwar Das, Gareth Cross, Chao Qu, Anurag Makineni, Pratap Tokekar, Yash Mulgaonkar, Vijay Kumar:
Devices, systems, and methods for automated monitoring enabling precision agriculture. CASE 2015: 462-469 - [c15]Chao Qu, Fagui Liu, Hui Yu, Ruifen Yuan, Anxiong Wang:
User Oriented Semi-automatic Method of Constructing Domain Ontology. ISICA 2015: 553-561 - [c14]Chao Qu, Huan Xu:
Subspace Clustering with Irrelevant Features via Robust Dantzig Selector. NIPS 2015: 757-765 - [c13]Jianan Kou, Xiaojiang Chen, Zhanyong Tang, Juan He, Chao Qu, Tianzhang Xing, Dingyi Fang:
Low-cost Device-Free Localization using Detection Probability Model in Outdoors. ENSsys@SenSys 2015: 37-38 - [c12]Zhanyong Tang, Jianan Kou, Chao Qu, Tianzhang Xing, Xiaojiang Chen, Dingyi Fang, Ruchen Wang:
Multi-link Passive Localization with Low Cost in Wireless Sensor Networks. UIC/ATC/ScalCom 2015: 344-347 - 2014
- [j7]Chao Qu, Willem-Paul Brinkman, Yun Ling, Pascal Wiggers, Ingrid Heynderickx:
Conversations with a virtual human: Synthetic emotions and human responses. Comput. Hum. Behav. 34: 58-68 (2014) - 2013
- [j6]Yun Ling, Harold T. Nefs, Willem-Paul Brinkman, Chao Qu, Ingrid Heynderickx:
The relationship between individual characteristics and experienced presence. Comput. Hum. Behav. 29(4): 1519-1530 (2013) - [j5]Ming Tao, Huaqiang Yuan, Wenhong Wei, Chao Qu:
Feature-Aware Cooperative Relaying for Multiflow Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - [j4]Chao Qu, Willem-Paul Brinkman, Pascal Wiggers, Ingrid Heynderickx:
The Effect of Priming Pictures and Videos on a Question-Answer Dialog Scenario in a Virtual Environment. Presence Teleoperators Virtual Environ. 22(2): 91-109 (2013) - [j3]Chao Qu, Willem-Paul Brinkman, Yun Ling, Pascal Wiggers, Ingrid Heynderickx:
Human perception of a conversational virtual human: an empirical study on the effect of emotion and culture. Virtual Real. 17(4): 307-321 (2013) - [c11]Chao Qu, Ruifen Yuan, Xiaorui Wei:
KNNCC: An algorithm for k-nearest neighbor clique clustering. ICMLC 2013: 1763-1766 - 2012
- [j2]Yun Ling, Willem-Paul Brinkman, Harold T. Nefs, Chao Qu, Ingrid Heynderickx:
Effects of Stereoscopic Viewing on Presence, Anxiety, and Cybersickness in a Virtual Reality Environment for Public Speaking. Presence Teleoperators Virtual Environ. 21(3): 254-267 (2012) - [i1]Joost Broekens, Chao Qu, Willem-Paul Brinkman:
Dynamic Facial Expression of Emotion Made Easy. CoRR abs/1211.4500 (2012) - 2011
- [c10]Chao Qu, Bertram E. Shi:
The role of orientation diversity in binocular vergence control. IJCNN 2011: 2266-2272 - 2010
- [c9]Yun Ling, Harold T. Nefs, Willem-Paul Brinkman, Ingrid Heynderickx, Chao Qu:
The role of display technology and individual differences on presence. ECCE 2010: 323-326 - [c8]Chao Qu, Willem-Paul Brinkman, Pascal Wiggers, Ingrid Heynderickx:
Visual priming to improve keyword detection in free speech dialogue. ECCE 2010: 337-338
2000 – 2009
- 2009
- [c7]Tianming Hu, Ji Ouyang, Chao Qu, Chuanren Liu:
Initialization of the Neighborhood EM Algorithm for Spatial Clustering. ADMA 2009: 487-495 - 2008
- [j1]Tianming Hu, Chew Lim Tan, Yong Tang, Sam Yuan Sung, Hui Xiong, Chao Qu:
Co-Clustering Bipartite with Pattern Preservation for Topic Extraction. Int. J. Artif. Intell. Tools 17(1): 87-107 (2008) - [c6]Chao Qu, Yong Li, Jie Zhang, Tianming Hu, Qian Chen:
Selecting the Right Features for Bipartite-Based Text Clustering. ADMA 2008: 477-484 - [c5]Chao Qu, Yong Li, Jun Zhu, Peican Huang, Ruifen Yuan, Tianming Hu:
Term Weighting Evaluation in Bipartite Partitioning for Text Clustering. AIRS 2008: 393-400 - 2007
- [c4]Huaqiang Yuan, Yaxun Wang, Jie Zhang, Wei Tan, Chao Qu, Wenbin He:
Spatial Fuzzy Clustering Using Varying Coefficients. ADMA 2007: 183-190 - [c3]Tianming Hu, Qingui Xu, Huaqiang Yuan, Jiali Hou, Chao Qu:
Hyperclique Pattern Based Off-Topic Detection. APWeb/WAIM 2007: 374-381 - 2006
- [c2]Tianming Hu, Liping Liu, Chao Qu, Sam Yuan Sung:
Joint Cluster Based Co-clustering for Clustering Ensembles. ADMA 2006: 284-295 - [c1]Tianming Hu, Chao Qu, Chew Lim Tan, Sam Yuan Sung, Wenjun Zhou:
Preserving Patterns in Bipartite Graph Partitioning. ICTAI 2006: 489-496
Coauthor Index
Camillo J. Taylor
aka: Camillo Jose Taylor
aka: Camillo Jose Taylor
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