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2020 – today
- 2024
[j46]Bing Bai, Haimeng Yue
, Lintao Chen, Xiaozheng Li:
Research on Dataset Generation and Monitoring of Generative AI for Drowning Warning System. IEEE Access 12: 83589-83599 (2024)- [j45]Chao Zha, Zhiyu Wang, Yifei Fan, Xingming Zhang, Bing Bai, Yinjie Zhang, Sainan Shi, Ruyun Zhang:
SKT-IDS: Unknown attack detection method based on Sigmoid Kernel Transformation and encoder-decoder architecture. Comput. Secur. 146: 104056 (2024) - [j44]Qi Qi, Liuyi Meng, Ming Xu, Bing Bai:
A Dual-Branch Algorithm for Semantic-Focused Face Super-Resolution Reconstruction. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 107(8): 1435-1439 (2024) - [j43]Wenjun Hou, Bing Bai, Chenyang Cai:
CR-TransR: A Knowledge Graph Embedding Model for Cultural Domain. ACM Journal on Computing and Cultural Heritage 17(1): 12:1-12:11 (2024) - [j42]Bing Bai, Ping Yue, Xueyuan Ren, Qiang Zhang, Jinyu Zhang, Jinhu Yang, Youyan Jiang:
Estimating Evapotranspiration in the Qilian Mountains Using GRACE/GRACE-FO Satellite Data. Remote. Sens. 16(11): 1877 (2024) - [j41]Gongjin Lan, Qiangqiang Lai, Bing Bai, Zirui Zhao, Qi Hao:
A Virtual Reality Training System for Automotive Engines Assembly and Disassembly. IEEE Trans. Learn. Technol. 17: 754-764 (2024) - [c81]Zihang Yin, Bing Bai, Yang Liu, Tongtong Cheng:
Research on Distributed Node Resource Optimization Mechanism for Multi-Agent Systems Combined with Blockchain Technology. Blockchain 2024: 536-541 - [c80]M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang:
When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach. CVPR 2024: 22119-22128 - [i21]Zhiyou Ji, Guoliang Li, Ruihua Han, Shuai Wang, Bing Bai, Wei Xu, Kejiang Ye, Chengzhong Xu:
MPCOM: Robotic Data Gathering with Radio Mapping and Model Predictive Communication. CoRR abs/2404.10541 (2024) - 2023
- [j40]Li Pei, Yanbiao Chang, Jianshuai Wang, Jingjing Zheng, Tigang Ning, Jing Li, Bing Bai, Lei Shen, Li Zhong:
Fiber Residual Stress Effects on Modal Gain Equalization of Few-Mode Fiber Amplifier. Sensors 23(5): 2574 (2023) - [j39]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai, Zhenghua Xu, Thomas Lukasiewicz:
Toward Knowledge as a Service (KaaS): Predicting Popularity of Knowledge Services Leveraging Graph Neural Networks. IEEE Trans. Serv. Comput. 16(1): 642-655 (2023) - [j38]Ruyu Yan, Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
Multi-Modal Reciprocal Spatiotemporal Framework for Predicting Usage Trend of Knowledge Services. IEEE Trans. Serv. Comput. 16(4): 2786-2799 (2023) - [c79]Xuelei Li, Ruyang Li, Bing Bai, Yaqian Zhao, Guangqing Liu, Rengang Li:
Outsourcing the Computation of Plaintext Encryption for Homomorphic Encryption. ICCCS 2023: 408-413 - [c78]Shi Gengtian, Bing Bai, Guoyou Zhang:
EfficientNet-Based Deep Learning Approach for Breast Cancer Detection With Mammography Images. ICCCS 2023: 972-977 - [c77]Yanan Qu, Bing Bai, Zixuan Zhang:
The New Generation of Artificial Intelligence Technology ChatGPT Causes: Potential Legal Risks and Regulatory Countermeasures. ICCCS 2023: 1205-1211 - [c76]Yao Liu, Hang Shao, Bing Bai:
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry. CICAI (2) 2023: 310-321 - [c75]Li He, Kangqi Luo, Zhuoye Ding, Hang Shao, Bing Bai:
A Reinforcement Learning Approach for Personalized Diversity in Feeds Recommendation. CICAI (2) 2023: 463-475 - [c74]Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang:
DartBlur: Privacy Preservation with Detection Artifact Suppression. CVPR 2023: 16479-16488 - [c73]Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang:
RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. ICCV 2023: 3735-3745 - [c72]Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu:
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. ICCV 2023: 16479-16489 - [c71]Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang:
Boosting Graph Contrastive Learning via Graph Contrastive Saliency. ICML 2023: 36839-36855 - [i20]Yao Liu, Hang Shao, Bing Bai:
A Novel Convolutional Neural Network Architecture with a Continuous Symmetry. CoRR abs/2308.01621 (2023) - [i19]Gongjin Lan, Qiangqiang Lai, Bing Bai, Zirui Zhao, Qi Hao:
A Virtual Reality Training System for Automotive Engines Assembly and Disassembly. CoRR abs/2311.02108 (2023) - 2022
- [j37]Juan Wang, Hongqing Li, Bing Bai:
A novel method of automatic reading for rotor water meter based on image processing. Int. J. Simul. Process. Model. 18(1): 77-85 (2022) - [j36]Bing Bai:
Monitoring and Identification of Abnormal Network Traffic by Different Mathematical Models. J. Cyber Secur. Mobil. 11(5): 695-712 (2022) - [j35]Bing Bai, Hengchen Dai, Dennis J. Zhang, Fuqiang Zhang, Haoyuan Hu:
The Impacts of Algorithmic Work Assignment on Fairness Perceptions and Productivity: Evidence from Field Experiments. Manuf. Serv. Oper. Manag. 24(6): 3060-3078 (2022) - [j34]Jing Huang, Bing Bai, Fang Yang:
An effective salient edge detection method based on point flow with phase congruency. Signal Image Video Process. 16(4): 1019-1026 (2022) - [j33]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation. IEEE Trans. Serv. Comput. 15(2): 918-930 (2022) - [j32]Junqi Zhang, Yushun Fan, Jia Zhang, Bing Bai:
Learning to Build Accurate Service Representations and Visualization. IEEE Trans. Serv. Comput. 15(3): 1551-1563 (2022) - [c70]Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang:
Uncertainty-Aware Learning against Label Noise on Imbalanced Datasets. AAAI 2022: 6960-6969 - [c69]Chunyu Wei, Jian Liang, Bing Bai, Di Liu:
Dynamic Hypergraph Learning for Collaborative Filtering. CIKM 2022: 2108-2117 - [c68]Yanan Qu, Bing Bai:
Problems and Path Options in the Construction of Intelligent Universities in the Context of Big Data. ICIT 2022: 224-230 - [c67]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. IJCAI 2022: 3250-3256 - [c66]Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu:
ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN 2022: 1-8 - [c65]Bulou Liu, Bing Bai, Weibang Xie, Yiwen Guo, Hao Chen:
Task-optimized User Clustering based on Mobile App Usage for Cold-start Recommendations. KDD 2022: 3347-3356 - [c64]Chunyu Wei, Bing Bai, Kun Bai, Fei Wang:
GSL4Rec: Session-based Recommendations with Collective Graph Structure Learning and Next Interaction Prediction. WWW 2022: 2120-2130 - [i18]Fangfei Lin, Bing Bai, Kun Bai, Yazhou Ren, Peng Zhao, Zenglin Xu:
Contrastive Multi-view Hyperbolic Hierarchical Clustering. CoRR abs/2205.02618 (2022) - [i17]Yingsong Huang, Bing Bai, Shengwei Zhao, Kun Bai, Fei Wang:
Uncertainty-Aware Learning Against Label Noise on Imbalanced Datasets. CoRR abs/2207.05471 (2022) - 2021
- [j31]Bing Bai, Guiling Li, Senzhang Wang, Zongda Wu, Wenhe Yan:
Time series classification based on multi-feature dictionary representation and ensemble learning. Expert Syst. Appl. 169: 114162 (2021) - [j30]Jianwu Wan, Yin-Juan Chen, Bing Bai:
Joint feature extraction and classification in a unified framework for cost-sensitive face recognition. Pattern Recognit. 115: 107927 (2021) - [j29]Bing Bai, Hongmei Zhao, Sumei Zhang, Xuelei Zhang, Yabin Du:
Can Neural Networks Forecast Open Field Burning of Crop Residue in Regions with Anthropogenic Management and Control? A Case Study in Northeastern China. Remote. Sens. 13(19): 3988 (2021) - [c63]Wen-jun Hou, Qi-ying He, Tong Li, Bing Bai:
The Method of Mining the Relationship Between the Use of Architectural Elements in Buildings and Cultural Connotation It Reflects: Case of Beijing's Representative Buildings. HCI (33) 2021: 74-87 - [c62]Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei:
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. ISPA/BDCloud/SocialCom/SustainCom 2021: 826-835 - [c61]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why Attentions May Not Be Interpretable? KDD 2021: 25-34 - [c60]Si-Ran Zhao, Yu-Zhe Zhang, Wen-Zhao Liu, Jian-Yu Guan, Weijun Zhang, Cheng-Long Li, Bing Bai, Ming-Han Li, Yang Liu, Lixing You, Jun Zhang, Jingyun Fan, Feihu Xu, Qiang Zhang, Jian-Wei Pan:
Field demonstration of distributed quantum sensing without post-selection. OFC 2021: 1-3 - [c59]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. WWW 2021: 3136-3145 - [i16]Bing Bai, Jianyao Huang, Guan-Ru Qiao, You-Qi Nie, Weijie Tang, Tao Chu, Jun Zhang, Jian-Wei Pan:
18.8 Gbps real-time quantum random number generator with a photonic integrated chip. CoRR abs/2105.13518 (2021) - [i15]Yueming Zhang, Xiaolin Song, Bing Bai, Tengfei Xing, Chao Liu, Xin Gao, Zhihui Wang, Yawei Wen, Haojin Liao, Guoshan Zhang, Pengfei Xu:
2nd Place Solution for Waymo Open Dataset Challenge - Real-time 2D Object Detection. CoRR abs/2106.08713 (2021) - [i14]Liuhui Ding, Dachuan Li, Bowen Liu, Wenxing Lan, Bing Bai, Qi Hao, Weipeng Cao, Ke Pei:
Capture Uncertainties in Deep Neural Networks for Safe Operation of Autonomous Driving Vehicles. CoRR abs/2108.05118 (2021) - 2020
- [j28]Yuehui Ji, Hailiang Zhou, Bing Bai:
Event-Driven-Modular Adaptive Backstepping Optimal Control for Strict-Feedback Systems Through Zero-Sum Differential Games. IEEE Access 8: 126511-126522 (2020) - [j27]Bing Bai, Yongzhao Du, Peizhong Liu, Pengming Sun, Ping Li, Yuchun Lv:
Detection of cervical lesion region from colposcopic images based on feature reselection. Biomed. Signal Process. Control. 57 (2020) - [j26]Bing Bai, Yong Cao, Xiaozheng Li:
DTMM: Evacuation oriented optimized scheduling model for disaster management. Comput. Commun. 150: 661-671 (2020) - [j25]Jianwu Wan, Liang Niu, Bing Bai, Hongyuan Wang:
Graph Regularized Deep Discrete Hashing for Multi-Label Image Retrieval. IEEE Signal Process. Lett. 27: 1994-1998 (2020) - [j24]Bing Bai, Yushun Fan, Wei Tan, Jia Zhang:
DLTSR: A Deep Learning Framework for Recommendations of Long-Tail Web Services. IEEE Trans. Serv. Comput. 13(1): 73-85 (2020) - [c58]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. ACL 2020: 4134-4145 - [c57]Zhihui Wang, Bing Bai, Yujun Xie, Tengfei Xing, Bineng Zhong, Qinqin Zhou, Yiping Meng, Bin Xu, Zhichao Song, Pengfei Xu, Runbo Hu, Hua Chai:
Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory Modeling. CVPR Workshops 2020: 2598-2606 - [c56]Dachuan Li, Yunjiang Wu, Bing Bai, Qi Hao:
Behavior and Interaction-aware Motion Planning for Autonomous Driving Vehicles based on Hierarchical Intention and Motion Prediction. ITSC 2020: 1-8 - [c55]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. KDD 2020: 286-296 - [c54]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. KDD 2020: 2831-2840 - [c53]Chenbin Zhang, Congjian Luo, Junyu Lu, Ao Liu, Bing Bai, Kun Bai, Zenglin Xu:
Read, Attend, and Exclude: Multi-Choice Reading Comprehension by Mimicking Human Reasoning Process. SIGIR 2020: 1945-1948 - [i13]Christopher Malon, Bing Bai:
Generating Followup Questions for Interpretable Multi-hop Question Answering. CoRR abs/2002.12344 (2020) - [i12]Bing Bai, Guanhua Zhang, Ye Lin, Hao Li, Kun Bai, Bo Luo:
CSRN: Collaborative Sequential Recommendation Networks for News Retrieval. CoRR abs/2004.04816 (2020) - [i11]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Demographics Should Not Be the Reason of Toxicity: Mitigating Discrimination in Text Classifications with Instance Weighting. CoRR abs/2004.14088 (2020) - [i10]Junqi Zhang, Bing Bai, Ye Lin, Jian Liang, Kun Bai, Fei Wang:
General-Purpose User Embeddings based on Mobile App Usage. CoRR abs/2005.13303 (2020) - [i9]Jian Liang, Bing Bai, Yuren Cao, Kun Bai, Fei Wang:
Adversarial Infidelity Learning for Model Interpretation. CoRR abs/2006.05379 (2020) - [i8]Bing Bai, Jian Liang, Guanhua Zhang, Hao Li, Kun Bai, Fei Wang:
Why is Attention Not So Attentive? CoRR abs/2006.05656 (2020) - [i7]Mingkai Huang, Hao Li, Bing Bai, Chang Wang, Kun Bai, Fei Wang:
A Federated Multi-View Deep Learning Framework for Privacy-Preserving Recommendations. CoRR abs/2008.10808 (2020) - [i6]Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li:
Hybrid Differentially Private Federated Learning on Vertically Partitioned Data. CoRR abs/2009.02763 (2020) - [i5]Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai:
Domain Agnostic Learning for Unbiased Authentication. CoRR abs/2010.05250 (2020) - [i4]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR abs/2010.07676 (2020)
2010 – 2019
- 2019
- [j23]Fangfang Zhou, Bing Bai, Yitao Wu, Minghui Chen, Zengsheng Zhong, Rongchen Zhu, Yi Chen, Ying Zhao:
FuzzyRadar: visualization for understanding fuzzy clusters. J. Vis. 22(5): 913-926 (2019) - [j22]Bineng Zhong, Bing Bai, Jun Li, Yulun Zhang, Yun Fu:
Hierarchical Tracking by Reinforcement Learning-Based Searching and Coarse-to-Fine Verifying. IEEE Trans. Image Process. 28(5): 2331-2341 (2019) - [j21]Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen:
SeCo-LDA: Mining Service Co-Occurrence Topics for Composition Recommendation. IEEE Trans. Serv. Comput. 12(3): 446-459 (2019) - [c52]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) 2019: 4418-4429 - [c51]Kai Li, Martin Renqiang Min, Bing Bai, Yun Fu, Hans Peter Graf:
On Novel Object Recognition: A Unified Framework for Discriminability and Adaptability. CIKM 2019: 2265-2268 - [c50]Peilun Li, Guozhen Li, Zhangxi Yan, Youzeng Li, Meiqi Lu, Pengfei Xu, Yang Gu, Bing Bai, Yifei Zhang:
Spatio-temporal Consistency and Hierarchical Matching for Multi-Target Multi-Camera Vehicle Tracking. CVPR Workshops 2019: 222-230 - [c49]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c48]Bing Bai, Yulong Zhao, Cun Li, Chao Han:
Analysis and Simulation of the Influence of "V" Beam on the Impact Resistance of Micro Quartz Tuning Gyroscopes. IEEE SENSORS 2019: 1-4 - [c47]Yogesh Balaji, Martin Renqiang Min, Bing Bai, Rama Chellappa, Hans Peter Graf:
Conditional GAN with Discriminative Filter Generation for Text-to-Video Synthesis. IJCAI 2019: 1995-2001 - [c46]Yao Liu, Bing Bai, Hua-Ching Chen, Peizhong Liu, Hsuan-Ming Feng:
Cervical Image Segmentation using U-Net Model. ISPACS 2019: 1-2 - [i3]Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao:
Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR abs/1905.06221 (2019) - [i2]Guanhua Zhang, Bing Bai, Junqi Zhang, Kun Bai, Conghui Zhu, Tiejun Zhao:
Mitigating Annotation Artifacts in Natural Language Inference Datasets to Improve Cross-dataset Generalization Ability. CoRR abs/1909.04242 (2019) - 2018
- [j20]Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe:
Leveraging knowledge bases for future prediction with memory comparison networks. AI Commun. 31(6): 465-483 (2018) - [j19]Yan Chen, Pengfei Wang, Bineng Zhong, Gu Ouyang, Bing Bai, Ji-Xiang Du:
Coarse-to-fine visual tracking with PSR and scale driven expert-switching. Neurocomputing 275: 1456-1467 (2018) - [j18]Bing Bai, Bineng Zhong, Gu Ouyang, Pengfei Wang, Xin Liu, Ziyi Chen, Cheng Wang:
Kernel correlation filters for visual tracking with adaptive fusion of heterogeneous cues. Neurocomputing 286: 109-120 (2018) - [j17]Bing Bai, Yushun Fan, Wei Tan, Jia Zhang, Keman Huang, Jing Bi:
End-to-End Web Service Recommendations by Extending Collaborative Topic Regression. Int. J. Web Serv. Res. 15(1): 89-112 (2018) - [c45]Yuanfeng Gong, Yushun Fan, Bing Bai, Junqi Zhang, Zhenfeng Gao, Xing Wu:
HTARF: A Hybrid Tourist Attraction Recommendation Framework for Trip Scheduling. BigDataService 2018: 93-98 - [c44]Xiaowen Mei, Yushun Fan, Junqi Zhang, Bing Bai, Zhenfeng Gao:
ASSR: An Adjustable Scenic Spot Rating System Based on Travel Note Mining. BigDataService 2018: 99-104 - [c43]Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai:
PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation. ICWS 2018: 42-49 - 2017
- [j16]Shuhui Chen, Yushun Fan, Wei Tan, Jia Zhang, Bing Bai, Zhenfeng Gao:
Service Recommendation Based on Separated Time-aware Collaborative Poisson Factorization. J. Web Eng. 16(7&8): 595-618 (2017) - [c42]Bing Bai, Yushun Fan, Wei Tan, Jia Zhang:
SR-LDA: Mining Effective Representations for Generating Service Ecosystem Knowledge Maps. SCC 2017: 124-131 - [c41]Bing Bai, Zhiqiong Guo:
Dynamic complexity of mobile internet business ecosystem. ICSAI 2017: 502-506 - [c40]Haotian Liu, Yubin Fang, Bing Bai, Xiaojin Zhu:
Co-simulation Using ADAMS and MATLAB for Active Vibration Control of Flexible Beam with Piezoelectric Stack Actuator. LSMS/ICSEE (1) 2017: 315-323 - [c39]Bing Bai, Xiaojin Zhu, Hesheng Zhang, Zhaoxun Zhang:
Active RFID Tags for Smart Shelf Based on LF Assistant Devices. LSMS/ICSEE (2) 2017: 343-352 - [c38]Bing Bai, Pierre-François Laquerre, Richard G. Jackson, Robert Stewart:
Detecting Positive Medical History Mentions. SIGIR 2017: 1049-1052 - 2016
- [j15]Bing Bai, Byungjoon Yoo, Xiuquan Deng, Iljoo Kim, Dehua Gao:
Linking routines to the evolution of IT capability on agent-based modeling and simulation: a dynamic perspective. Comput. Math. Organ. Theory 22(2): 184-211 (2016) - [j14]Renxin Wang, Bing Bai, Hengzhen Feng, Ziming Ren, Huiliang Cao, Chenyang Xue, Binzhen Zhang, Jun Liu:
Design and Fabrication of Micro Hemispheric Shell Resonator with Annular Electrodes. Sensors 16(12): 1991 (2016) - [c37]Zhenfeng Gao, Yushun Fan, Cheng Wu, Wei Tan, Jia Zhang, Yayu Ni, Bing Bai, Shuhui Chen:
SeCo-LDA: Mining Service Co-occurrence Topics for Recommendation. ICWS 2016: 25-32 - [c36]Shuhui Chen, Yushun Fan, Wei Tan, Jia Zhang, Bing Bai, Zhenfeng Gao:
Time-Aware Collaborative Poisson Factorization for Service Recommendation. ICWS 2016: 196-203 - [c35]Daniel Andrade, Bing Bai, Ramkumar Rajendran, Yotaro Watanabe:
Analogy-Based Reasoning with Memory Networks for Future Prediction. CoCo@NIPS 2016 - 2015
- [j13]Dehua Gao, Xiuquan Deng, Qiuhong Zhao, Hong Zhou, Bing Bai:
Multi-Agent Based Simulation of Organizational Routines on Complex Networks. J. Artif. Soc. Soc. Simul. 18(3) (2015) - [j12]Bing Bai, Wen-Ming Zhao, Bixia Tang, Yanqing Wang, Lu Wang, Zhang Zhang, He-Chuan Yang, Yan-Hu Liu, Jun-Wei Zhu, David M. Irwin, Guo-Dong Wang, Ya-Ping Zhang:
DoGSD: the dog and wolf genome SNP database. Nucleic Acids Res. 43(Database-Issue): 777-783 (2015) - [c34]Bing Bai, Yushun Fan, Keman Huang, Wei Tan, Bofei Xia, Shuhui Chen:
Service Recommendation for Mashup Creation Based on Time-Aware Collaborative Domain Regression. ICWS 2015: 209-216 - [c33]Wentao Zhu, Ning Guo, Bing Bai, Peter S. Conti, Richard M. Leahy, Quanzheng Li:
Direct estimation from list-mode data for reversible tracers using graphical modeling. ISBI 2015: 1204-1207 - 2014
- [j11]Dehua Gao, Xiuquan Deng, Bing Bai:
The emergence of organizational routines from habitual behaviours of multiple actors: an agent-based simulation study. J. Simulation 8(3): 215-230 (2014) - [j10]Wentao Zhu, Quanzheng Li, Bing Bai, Peter S. Conti, Richard M. Leahy:
Patlak Image Estimation From Dual Time-Point List-Mode PET Data. IEEE Trans. Medical Imaging 33(4): 913-924 (2014) - [c32]Bofei Xia, Yushun Fan, Cheng Wu, Keman Huang, Wei Tan, Jia Zhang, Bing Bai:
Domain-Aware Service Recommendation for Service Composition. ICWS 2014: 439-446 - [c31]Hao Wu, Martin Renqiang Min, Bing Bai:
Deep Semantic Embedding. SMIR@SIGIR 2014: 46-52 - 2013
- [j9]Bing Bai, Zhenqian Feng, Baokang Zhao, Jinshu Su:
Benefiting from the community structure in opportunistic forwarding. Comput. Sci. Inf. Syst. 10(2): 865-876 (2013) - [c30]Christopher Malon, Bing Bai:
Answer Extraction by Recursive Parse Tree Descent. CVSM@ACL 2013: 110-118 - [c29]Arthur Mikhno, Elsa D. Angelini, Bing Bai, Andrew F. Laine:
Locally weighted total variation denoising for ringing artifact suppression in pet reconstruction using PSF modeling. ISBI 2013: 1252-1255 - [c28]Dehua Gao, Xiuquan Deng, Bing Bai:
An Evolutionary Game Model of Organizational Routines on Complex Networks. ICSI (1) 2013: 548-555 - 2012
- [j8]Zhenqian Feng, Bing Bai, Baokang Zhao, Jinshu Su:
ICTree: discovering the underlying connections of your rental virtual machines in the public clouds. Comput. Syst. Sci. Eng. 27(6) (2012) - [c27]Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh:
Large-scale image classification using supervised spatial encoder. ICPR 2012: 581-584 - [c26]Zhenqian Feng, Bing Bai, Baokang Zhao, Jinshu Su:
An Analytic Goodput Model for TCP Incast. IMIS 2012: 427-432 - [c25]Siddharth Gopal, Yiming Yang, Bing Bai, Alexandru Niculescu-Mizil:
Bayesian models for Large-scale Hierarchical Classification. NIPS 2012: 2420-2428 - [c24]Dmitriy Bespalov, Yanjun Qi, Bing Bai, Ali Shokoufandeh:
Sentiment Classification with Supervised Sequence Embedding. ECML/PKDD (1) 2012: 159-174 - [i1]Christopher Malon, Bing Bai, Kazi Saidul Hasan:
Slot-Filling by Substring Extraction at TAC KBP 2012 (Team Papelo). TAC 2012 - 2011
- [j7]Bing Bai, Hongliang Lu, Qinglin Yu:
Generalization of matching extensions in graphs (III). Discret. Appl. Math. 159(8): 727-732 (2011) - [j6]Hongliang Lu, Wei Wang, Bing Bai:
Vertex-deleted subgraphs and regular factors from regular graph. Discret. Math. 311(18-19): 2044-2048 (2011) - [c23]Dmitriy Bespalov, Bing Bai, Yanjun Qi, Ali Shokoufandeh:
Sentiment classification based on supervised latent n-gram analysis. CIKM 2011: 375-382 - [c22]Dehua Gao, Xiuquan Deng, Bing Bai:
Agent-based simulation for enterprise capabilities under complex dynamic environments. ICNC 2011: 1001-1005 - [c21]Zhu Tang, Bo Liu, Baokang Zhao, Wanrong Yu, Chunqing Wu, Wei Peng, Bing Bai, Yanpeng Ma:
Building Practical Self Organization Networks on Heterogeneous Wireless Modems. IMIS 2011: 388-393 - [c20]Bing Bai, Jinshu Su, Baokang Zhao, Wanrong Yu, Ling Wen:
Snail Crawling: An Enhanced Method for DTNs Routing. IMIS 2011: 394-397 - [c19]Bing Bai, Zhenqian Feng, Baokang Zhao, Jinshu Su:
One Leader at One Time: OLOT Routing in Delay Tolerant Networks. MSN 2011: 432-435 - [c18]Zhenqian Feng, Bing Bai, Baokang Zhao, Jinshu Su:
Shrew Attack in Cloud Data Center Networks. MSN 2011: 441-445 - [c17]Dmitriy Bespalov, Anders Lindbjerg Dahl, Bing Bai, Ali Shokoufandeh:
On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding. SCIA 2011: 103-113 - [c16]Xi Chen, Yanjun Qi, Bing Bai, Qihang Lin, Jaime G. Carbonell:
Sparse Latent Semantic Analysis. SDM 2011: 474-485 - 2010
- [j5]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger:
Learning to rank with (a lot of) word features. Inf. Retr. 13(3): 291-314 (2010) - [c15]Zongtao Luan, Gedong Jiang, Bing Bai, Yun Zhang, Xuesong Mei:
A feedrate pre-schedule NURBS interpolation method for high-speed machining. ICCA 2010: 1672-1677 - [c14]Xi Chen, Bing Bai, Yanjun Qi, Qihang Lin, Jaime G. Carbonell:
Learning Preferences with Millions of Parameters by Enforcing Sparsity. ICDM 2010: 779-784 - [c13]Pavel P. Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston, Vladimir Pavlovic, Xia Ning:
Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction. ECML/PKDD (2) 2010: 128-144 - [c12]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri:
Half Transductive Ranking. AISTATS 2010: 49-56
2000 – 2009
- 2009
- [c11]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Olivier Chapelle, Kilian Q. Weinberger:
Supervised semantic indexing. CIKM 2009: 187-196 - [c10]Bing Bai, Jason Weston, Ronan Collobert, David Grangier:
Supervised Semantic Indexing. ECIR 2009: 761-765 - [c9]Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri:
Polynomial Semantic Indexing. NIPS 2009: 64-72 - 2008
- [j4]John Novatnack, Nicu D. Cornea, Ali Shokoufandeh, Deborah Silver, Sven J. Dickinson, Paul B. Kantor, Bing Bai:
A generalized family of fixed-radius distribution-based distance measures for content-based fMRI image retrieval. Pattern Recognit. Lett. 29(12): 1726-1732 (2008) - 2007
- [j3]Nina Wacholder, Diane Kelly, Paul B. Kantor, Robert Rittman, Ying Sun, Bing Bai, Sharon G. Small, Boris Yamrom, Tomek Strzalkowski:
A model for quantitative evaluation of an end-to-end question-answering system. J. Assoc. Inf. Sci. Technol. 58(8): 1082-1099 (2007) - [j2]Sanghee Cho, Quanzheng Li, Sangtae Ahn, Bing Bai, Richard M. Leahy:
Iterative Image Reconstruction Using Inverse Fourier Rebinning for Fully 3-D PET. IEEE Trans. Medical Imaging 26(5): 745-756 (2007) - [c8]Bing Bai, Paul B. Kantor, Ali Shokoufandeh, Deborah Silver:
fMRI Brain Image Retrieval Based on ICA Components. ENC 2007: 10-17 - [c7]Bing Bai, Paul B. Kantor:
A Shape-Based Finite Impulse Response Model for Functional Brain Images. ISBI 2007: 440-443 - [c6]Bing Bai, Paul B. Kantor, Ali Shokoufandeh:
Effectiveness of the Finite Impulse Response Model in Content-Based fMRI Image Retrieval. MICCAI (2) 2007: 742-750 - [c5]Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah Silver:
Toward Content-based Indexing and Retrieval of Functional Brain Images. RIAO 2007: 549-568 - 2006
- [j1]Kwong Bor Ng, Paul B. Kantor, Tomek Strzalkowski, Nina Wacholder, Rong Tang, Bing Bai, Robert Rittman, Peng Song, Ying Sun:
Automated judgment of document qualities. J. Assoc. Inf. Sci. Technol. 57(9): 1155-1164 (2006) - [c4]Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah Silver:
IR principles for content-based indexing and retrieval of functional brain images. CIKM 2006: 828-829 - [c3]Bing Bai, Zhenghe Feng:
Correlation Transfer Characteristics of Multiple Element Antennas. VTC Fall 2006: 1-5 - 2004
- [c2]Bing Bai, Kwong Bor Ng, Ying Sun, Paul B. Kantor, Tomek Strzalkowski:
The institutional dimension of document quality judgments. ASIST 2004: 110-118 - [c1]Nina Wacholder, Sharon G. Small, Bing Bai, Diane Kelly, Robert Rittman, Sean Ryan, Robert Salkin, Peng Song, Ying Sun, Ting Liu, Paul B. Kantor, Tomek Strzalkowski:
Designing a Realistic Evaluation of an End-to-end Interactive Question Answering System. LREC 2004
Coauthor Index
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