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徐俊刚教授:
1. Yang Fan, Jungang Xu, Yingfei Sun, Yiyu Wang: A Novel Image Captioning Method Based on Generative Adversarial Networks. ICANN (4) 2019: 281-292
2. Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun: Neural relevance model using similarities with elite documents for effective clinical decision support. IJDMB 20(2): 91-108 (2018)
3. Shuaimin Li, Jungang Xu: A Recurrent Neural Network Language Model Based on Word Embedding. APWeb/WAIM Workshops 2018: 368-377
4. Jungang Xu, Shanshan Huang, Renfeng Liu, Pengfei Li: One Self-Adaptive Memory Scheduling Algorithm for the Shuffle Process in Spark Platform. BigData 2018: 3938-3946
5. Guolu Wang, Jungang Xu, Renfeng Liu, Shanshan Huang: A Hard Real-time Scheduler for Spark on YARN. CCGrid 2018: 645-652
6. Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu: NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018: 4482-4491
7. Yang Fan, Jungang Xu, Yingfei Sun, Ben He: Long-Term Recurrent Merge Network Model for Image Captioning. ICTAI 2018: 254-259
8. Yanhua Ran, Ben He, Jungang Xu: A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. KSEM (1) 2018: 104-116
9. Zhi Zheng, Canjia Li, Ben He, Jungang Xu: UCAS at TREC-2018 Precision Medicine Track. TREC 2018
10. Chenhao Yang, Ben He, Canjia Li, Jungang Xu: A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. Data Science and Engineering 2(4): 316-327 (2017)
11. Chenhao Yang, Ben He, Jungang Xu: Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. APWeb/WAIM (2) 2017: 153-168
12. Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun: A document-based neural relevance model for effective clinical decision support. BIBM 2017: 798-804
13. Shanshan Huang, Jungang Xu, Renfeng Liu, Husheng Liao: A novel compression algorithm decision method for spark shuffle process. BigData 2017: 2931-2940
14. Qi Wang, Jungang Xu, Ben He, Zhengcai Qin: An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. ICANN (2) 2017: 56-63
15. Qi Wang, Jungang Xu, Hong Chen, Ben He: Two improved continuous bag-of-word models. IJCNN 2017: 2851-2856
16. Cancan Jin, Ben He, Jungang Xu: A Study of Distributed Semantic Representations for Automated Essay Scoring. KSEM 2017: 16-28
17. Canjia Li, Ben He, Yingfei Sun, Jungang Xu: UCAS at TREC-2017 Precision Medicine Track. TREC 2017
18. Guolu Wang, Jungang Xu, Ben He: A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. HPCC/SmartCity/DSS 2016: 586-593
19. Jungang Xu, Guolu Wang, Shengyuan Liu, Renfeng Liu: A Novel Performance Evaluation and Optimization Model for Big Data System. ISPDC 2016: 121-130
20. Hong Chen, Jungang Xu, Qi Wang, Ben He: A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. KSEM 2016: 402-413
21. Jungang Xu, Hong Chen, Shilong Zhou, Ben He: Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. PAISI 2016: 53-62
22. Qingli Ma, Ben He, Jungang Xu: Direct measurement of training query quality for learning to rank. SAC 2016: 1035-1040
23. Qingli Ma, Ben He, Jungang Xu, Bin Wang: A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) 2016: 491-503
24. Jungang Xu, Yue Zhao, Jian Chen, Chao Han: A Structure Learning Algorithm for Bayesian Network Using Prior Knowledge. J. Comput. Sci. Technol. 30(4): 713-724 (2015)
25. Jungang Xu, Shilong Zhou, Hong Chen, Pengfei Li: A sample partition method for learning to rank based on query-level vector extraction. IJCNN 2015: 1-7
26. Bin Liao, Jungang Xu, Huiying Sun, Hong Chen: Robust Corner Detection Based on Bilateral Filter in Direct Curvature Scale Space. ICSI (3) 2015: 357-365
27. Hongbo Chen, Jungang Xu, Ben He: Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. 57(9): 1318-1330 (2014)
28. Jungang Xu, Hui Li, Yan Zhao, Ben He: Online High-Quality Topic Detection for Bulletin Board Systems. IEICE Transactions 97-D(2): 255-265 (2014)
29. Jungang Xu, Hui Li, Shilong Zhou: Improving mixing rate with tempered transition for learning restricted Boltzmann machines. Neurocomputing 139: 328-335 (2014)
30. Jungang Xu, Shilong Zhou, Lin Qiu, Shengyuan Liu, Pengfei Li: A Document Clustering Algorithm Based on Semi-constrained Hierarchical Latent Dirichlet Allocation. KSEM 2014: 49-60
31. Sha Lu, Ben He, Jungang Xu: Hyper-geometric Model for Information Retrieval Revisited. AIRS 2013: 62-73
32. Shengyuan Liu, Jungang Xu, Zongzhen Liu, Xu Liu: Evaluating task scheduling in hadoop-based cloud systems. BigData 2013: 47-53
33. Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu: Clustering-based transduction for learning a ranking model with limited human labels. CIKM 2013: 1777-1782
34. Jungang Xu, Yue Zhao, Kunlin Zhan, Hui Li, Xiuqi Han: Performance Analysis of MPI Parallel Programs on Xen Virtual Machines. HPCC/EUC 2013: 1528-1535
35. Yue Zhao, Jungang Xu, Yunjun Gao: A Parallel Algorithm for Bayesian Network Parameter Learning Based on Factor Graph. ICTAI 2013: 506-511
36. Jungang Xu, Hui Li: The Failure Prediction of Cluster Systems Based on System Logs. KSEM 2013: 526-537
37. Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo: UCAS at TREC 2012 Microblog Track. TREC 2012
38. Ying Pei, Jungang Xu, Qiang Wang: One CWM-Based Data Transformation Method in ETL Process. DBTA 2010: 1-4

何苯教授:
1. Hao Nie, Xianpei Han, Ben He, Le Sun, Bo Chen, Wei Zhang, Suhui Wu, Hao Kong: Deep Sequence-to-Sequence Entity Matching for Heterogeneous Entity Resolution. CIKM 2019: 629-638
2. Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun: Neural relevance model using similarities with elite documents for effective clinical decision support. IJDMB 20(2): 91-108 (2018)
3. Jimmy Xiangji Huang, Ben He, Jiashu Zhao: Mining authoritative and topical evidence from the blogosphere for improving opinion retrieval. Inf. Syst. 78: 199-213 (2018)
4. Cancan Jin, Ben He, Kai Hui, Le Sun: TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring. ACL (1) 2018: 1088-1097
5. Canjia Li, Ben He, Le Sun, Yingfei Sun: Neural Precision Medicine by Mining Implicit Treatment Concepts. BIBM 2018: 893-898
6. Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu: NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. EMNLP 2018: 4482-4491
7. Yang Fan, Jungang Xu, Yingfei Sun, Ben He: Long-Term Recurrent Merge Network Model for Image Captioning. ICTAI 2018: 254-259
8. Yanhua Ran, Ben He, Jungang Xu: A Study on Performance Sensitivity to Data Sparsity for Automated Essay Scoring. KSEM (1) 2018: 104-116
9. Zhi Zheng, Canjia Li, Ben He, Jungang Xu: UCAS at TREC-2018 Precision Medicine Track. TREC 2018
10. Ben He: Document Length Normalization. Encyclopedia of Database Systems (2nd ed.) 2018
11. Ben He: Probability Ranking Principle. Encyclopedia of Database Systems (2nd ed.) 2018
12. Ben He: Query Expansion Models. Encyclopedia of Database Systems (2nd ed.) 2018
13. Ben He: Rocchio’s Formula. Encyclopedia of Database Systems (2nd ed.) 2018
14. Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, Jungang Xu: NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval. CoRR abs/1810.12936 (2018)
15. Chenhao Yang, Ben He, Canjia Li, Jungang Xu: A Feedback-Based Approach to Utilizing Embeddings for Clinical Decision Support. Data Science and Engineering 2(4): 316-327 (2017)
16. Chenhao Yang, Ben He, Jungang Xu: Integrating Feedback-Based Semantic Evidence to Enhance Retrieval Effectiveness for Clinical Decision Support. APWeb/WAIM (2) 2017: 153-168
17. Yanhua Ran, Ben He, Kai Hui, Jungang Xu, Le Sun: A document-based neural relevance model for effective clinical decision support. BIBM 2017: 798-804
18. Qi Wang, Jungang Xu, Ben He, Zhengcai Qin: An Improved Convolutional Neural Network for Sentence Classification Based on Term Frequency and Segmentation. ICANN (2) 2017: 56-63
19. Qi Wang, Jungang Xu, Hong Chen, Ben He: Two improved continuous bag-of-word models. IJCNN 2017: 2851-2856
20. Cancan Jin, Ben He, Jungang Xu: A Study of Distributed Semantic Representations for Automated Essay Scoring. KSEM 2017: 16-28
21. Canjia Li, Ben He, Yingfei Sun, Jungang Xu: UCAS at TREC-2017 Precision Medicine Track. TREC 2017
22. Chenhao Yang, Ben He, Yanhua Ran: Utilizing Embeddings for Ad-hoc Retrieval by Document-to-document Similarity. CoRR abs/1708.03181 (2017)
23. Xin Zhang, Ben He, Tiejian Luo: Training query filtering for semi-supervised learning to rank with pseudo labels. World Wide Web 19(5): 833-864 (2016)
24. Chenhao Yang, Ben He: A novel semantics-based approach to medical literature search. BIBM 2016: 1616-1623
25. Guolu Wang, Jungang Xu, Ben He: A Novel Method for Tuning Configuration Parameters of Spark Based on Machine Learning. HPCC/SmartCity/DSS 2016: 586-593
26. Hong Chen, Jungang Xu, Qi Wang, Ben He: A Document Modeling Method Based on Deep Generative Model and Spectral Hashing. KSEM 2016: 402-413
27. Jungang Xu, Hong Chen, Shilong Zhou, Ben He: Multilevel Syntactic Parsing Based on Recursive Restricted Boltzmann Machines and Learning to Rank. PAISI 2016: 53-62
28. Qingli Ma, Ben He, Jungang Xu: Direct measurement of training query quality for learning to rank. SAC 2016: 1035-1040
29. Qingli Ma, Ben He, Jungang Xu, Bin Wang: A Set-Based Training Query Classification Approach for Twitter Search. WAIM (1) 2016: 491-503
30. Dongxing Li, Ben He, Tiejian Luo, Xin Zhang: Selecting Training Data for Learning-Based Twitter Search. ECIR 2015: 501-506
31. Cancan Jin, Ben He: Utilizing Latent Semantic Word Representations for Automated Essay Scoring. UIC/ATC/ScalCom 2015: 1101-1108
32. Hongbo Chen, Jungang Xu, Ben He: Automated Essay Scoring by Capturing Relative Writing Quality. Comput. J. 57(9): 1318-1330 (2014)
33. Jungang Xu, Hui Li, Yan Zhao, Ben He: Online High-Quality Topic Detection for Bulletin Board Systems. IEICE Transactions 97-D(2): 255-265 (2014)
34. XinZhang Zhao, Ben He, Fang-Yuan Xu, Loi Lei Lai, Chenhao Yang, Sha Lu, Dongxing Li: A model of Demand Response scheduling for cement plant. SMC 2014: 3042-3047
35. Qingli Ma, Ben He, Dongxing Li: UCAS at TREC-2014 Microblog Track. TREC 2014
36. Jimmy Xiangji Huang, Jun Miao, Ben He: High performance query expansion using adaptive co-training. Inf. Process. Manage. 49(2): 441-453 (2013)
37. Zheng Ye, Ben He, Lifeng Wang, Tiejian Luo: Utilizing term proximity for blog post retrieval. JASIST 64(11): 2278-2298 (2013)
38. Craig Macdonald, Rodrygo L. T. Santos, Iadh Ounis, Ben He: About learning models with multiple query-dependent features. ACM Trans. Inf. Syst. 31(3): 11 (2013)
39. Sha Lu, Ben He, Jungang Xu: Hyper-geometric Model for Information Retrieval Revisited. AIRS 2013: 62-73
40. Xin Zhang, Ben He, Tiejian Luo, Dongxing Li, Jungang Xu: Clustering-based transduction for learning a ranking model with limited human labels. CIKM 2013: 1777-1782
41. Kai Hui, Bin Gao, Ben He, Tiejian Luo: Sponsored Search Ad Selection by Keyword Structure Analysis. ECIR 2013: 230-241
42. Hongbo Chen, Ben He: Automated Essay Scoring by Maximizing Human-Machine Agreement. EMNLP 2013: 1741-1752
43. Yu Huang, Tiejian Luo, Xiang Wang, Kai Hui, Wenjie Wang, Ben He: On Evaluating Query Performance Predictors. ICPCA/SWS 2013: 184-194
44. Xin Zhang, Ben He, Tiejian Luo: Learn to Rank Tweets by Integrating Query-Specific Characteristics. BSI@PAKDD/BSIC@IJCAI 2013: 224-236
45. Dongxing Li, Ben He, Xin Zhang, Tiejian Luo: UCAS at TREC-2013 Microblog Track. TREC 2013
46. Zheng Ye, Jimmy Xiangji Huang, Ben He, Hongfei Lin: Mining a multilingual association dictionary from Wikipedia for cross-language information retrieval. JASIST 63(12): 2474-2487 (2012)
47. Hongbo Chen, Ben He, Tiejian Luo, Baobin Li: A Ranked-Based Learning Approach to Automated Essay Scoring. CGC 2012: 448-455
48. Xin Zhang, Ben He, Tiejian Luo, Baobin Li: Query-biased learning to rank for real-time twitter search. CIKM 2012: 1915-1919
49. Zongcheng Ji, Fei Xu, Bin Wang, Ben He: Question-answer topic model for question retrieval in community question answering. CIKM 2012: 2471-2474
50. Fuxing Cheng, Xin Zhang, Ben He, Tiejian Luo, Wenjie Wang: A Survey of Learning to Rank for Real-Time Twitter Search. ICPCA/SWS 2012: 150-164
51. Xin Zhang, Ben He, Tiejian Luo: Transductive Learning for Real-Time Twitter Search. ICWSM 2012
52. Xin Zhang, Sha Lu, Ben He, Jungang Xu, Tiejian Luo: UCAS at TREC 2012 Microblog Track. TREC 2012
53. Ben He, Jimmy Xiangji Huang, Xiaofeng Zhou: Modeling term proximity for probabilistic information retrieval models. Inf. Sci. 181(14): 3017-3031 (2011)
54. Kai Hui, Ben He, Tiejian Luo, Bin Wang: Relevance weighting using within-document term statistics. CIKM 2011: 99-104
55. Peng Li, Bin Wang, Wei Jin, Jian-Yun Nie, Zhiwei Shi, Ben He: Exploring categorization property of social annotations for information retrieval. CIKM 2011: 557-562
56. Kai Hui, Ben He, Tiejian Luo, Bin Wang: A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval. ICTIR 2011: 318-322
57. Jiashu Zhao, Jimmy Xiangji Huang, Ben He: CRTER: using cross terms to enhance probabilistic information retrieval. SIGIR 2011: 155-164
58. Xiaofeng Zhou, Jimmy Xiangji Huang, Ben He: Enhancing ad-hoc relevance weighting using probability density estimation. SIGIR 2011: 175-184
59. Xin Zhang, Kai Hui, Ben He, Tiejian Luo: GUCAS at TREC 2011 Microblog Track. TREC 2011
60. Zheng Ye, Ben He, Xiangji Huang, Hongfei Lin: Revisiting Rocchio’s Relevance Feedback Algorithm for Probabilistic Models. AIRS 2010: 151-161

林姝副教授:

1. Z. Zhou, S. Lin, W. Du and H. Liang, Integration of Regional Demand Management and Signals Control for Urban Traffic Networks, in IEEE Access, vol. 7, pp. 20235-20248, Jul. 2019.
2. Shengjian Zhao, Shu Lin*, Jungang Xu. Time series traffic prediction via hybrid neural networks. IEEE Intelligent Transportation Systems Conference 2019, Oakland,Oct. 2019.(EI)
3. Haibin Shao, Lulu Pan, Dewei Li, Yugeng Xi, Shu Lin. Velocity Coordination of Multi-vehicle Systems via Distributed Neighbor Selection. IEEE Intelligent Transportation Systems Conference 2019, Oakland,Oct. 2019.(EI)
4. S. Lin*, and Bart De Schutter, Stabilizing Controller Design for State-based Switching Bilinear Systems. The 57th IEEE Conference on Decision and Control (CDC 2018), FL, USA, Dec. 2018.
5. S. Lin*, T.L. Pan,W.H.K. Lam,R.X. Zhong,B. De Schutter. Stochastic Link Flow Model for Signalized Traffic Networks with Uncertainty in Demand. The 15th IFAC Symposium on Control in Transportation Systems , Savona, ITALY, June, 2018.
6. Zhao Zhou, Bart De Schutter, Shu Lin*, and Yugeng Xi, Two-Level Hierarchical Model-Based Predictive Control for Large-Scale Urban Traffic Networks. IEEE Transactions on Control Systems and Technology, 25(2): 496–508, Mar. 2017.
7. Zhao Zhou, S. Lin*, Yugeng Xi, Jun Zhang, Integrated Demand Balance and Flow Coordination Control for Complex Urban Traffic Networks. The 14-th IFAC Symposium on Control in Transportation Systems, May 18-20, 2016, Istanbul, Turkey.
8. Wu, Ziqiang Wu and Cen, Lihui and Zhang, Shaohui and Chen, Xiaofang and Lin, Shu. Optimal control of irrigation canals based on control vector parametrization, The 35th Control Conference (CCC), pp: 2596–2601, 2016
9. Shu Lin*, Qing-Jie Kong and Qingming Huang, A model-based demand-balancing control for dynamically divided multiple urban subnetworks. Journal of Advanced Transportation, 50(6): 1046–1060, Jul. 2016.
10. A. Jamshidnejad, H. Hellendoorn, S. Lin, and B. De Schutter, “Smoothening for efficient solution of model predictive control for urban traffic networks considering endpoint penalties,” Proceedings of the 2015 IEEE 18th International Conference on Intelligent Transportation Systems, Las Palmas de Gran Canaria, Spain, pp. 2837– 2842, Sept. 2015.
11. Shu Lin*, Qing-Jie Kong; Qingming Huang. A Simulation Analysis on the Existence of Network Traffic Flow Equilibria. IEEE Transactions on Intelligent Transportation Systems, 15(4):1706-1713, August 2014, DOI: 10.1109/TITS.2014.2302472.
12. S. Lin*, B. De Schutter, Y. Xi, and H. Hellendoorn. Efficient network-wide model-based predictive control for urban traffic networks. Transportation Research Part C: Emerging Technologies, 24:122-140, October 2012. DOI: http://dx.doi.org/10.1016/j.trc.2012.02.003.
13. Z. Zhou, B. De Schutter, S. Lin and Y. Xi. Multi-Agent Model-Based Predictive Control for Large-Scale Urban Traffic Networks Using a Serial Scheme. IET Control Theory & Applications, 2014, 9(3):475-484, Jan. 2015.
14. S. Lin*, Q.-J. Kong. A Model-based Demand-balance Control for Complex Urban traffic Networks. In the 17th International IEEE Conference on Intelligent Transportation Systems (ITSC 2014), pages: 2900-2905, Qingdao, China, Oct. 2014.
15. S. Lin*, B. De Schutter, Y. Xi, and H. Hellendoorn. Integrated urban traffic control for the reduction of travel delays and emissions. IEEE Transactions on Intelligent Transportation Systems, 14(4):1609-1619, December 2013, DOI: 10.1109/TITS.2013.2263843
16. S. Lin*, Z. Zhou, Y. Xi. Analysis on Performance Criteria for Model-based Traffic Congestion Control in Urban Road Networks. Transportation Research Record: Journal of Transportation Research Board, March 2013, number 13-1775.
17. S. Lin*, B. De Schutter, A. Hegyi, Y. Xi, and J. Hellendoorn. On a spatiotemporally discrete urban traffic model. IET Intelligent Transport Systems, 8(1): 219-231, May 2014, DOI: 10.1049/iet-its.2012.0137.
18. Z. Zhou, S. Lin* and Y. Xi. A fast network partition method for large-scale urban traffic networks. Journal of Control Theory and Application, 11(3), 2013, pp: 359-366.
19. Y. Xi, D. Li and S. Lin. Model Predictive Control — Status and Challenges. Acta Automatica Sinica, 39(3), 2013, pp: 222-236.
20. S. Lin*, T. Ling, Y. Xi. Model Predictive Control for Large-scale Urban Traffic Networks with a Multi-level Hierarchy. In the 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), pages 211-216, The Hague, The Netherlands, Oct. 2013.
21. Z. Zhou, S. Lin*, D. Li, and Y. Xi. A Congestion Eliminating Control Method for Large-scale Urban Traffic Networks, Accepted by 13th IFAC Symposium on Large Scale Complex Systems, Shanghai, China, Jul. 2013.
22. T. Ling, S. Lin*, and Y. Xi. Multi-level Model-based Control for Large Scale Urban Traffic Networks, Accepted by 13th IFAC Symposium on Large Scale Complex Systems, Shanghai, China, Jul. 2013.
23. S. Lin*, Z. Zhou, Y. Xi. Analysis on Performance Criteria for Model-based Traffic Congestion Control in Urban Road Networks. Transportation Research Board 92nd Annual Meeting, Washington DC, USA, Jan. 2013, number 13-1775.
24. Y. Xu, Q.J. Kong, S. Lin, Yuncai Liu, “Urban traffic flow prediction based on road network model,” 9th IEEE International Conference on Networking, Sensing and Control, Beijing, China, April 2012, pp. 334-339.
25. Zhao Zhou, Shu Lin, Dewei Li, Yugeng Xi. A congestion eliminating control method for large-scale urban traffic networks. The 13th IFAC Symposium on Large Scale Complex Systems (LSS2013), Shanghai, China, July 7-10, 2013.
26. Z. Zhou, S. Lin*, Y. Xi. A Dynamic Network Partition Method for Heterogenous Urban Traffic Networks. In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC 2012), pages 820-825, Alaska, USA, Sep. 2012.
27. S. Lin*, B. De Schutter, A. Hegyi, Y. Xi, and J. Hellendoorn. A spatiotemporally discrete urban traffic model. In Proceedings of the 18th World Congress The International Federation of Automatic Control, pages 10697-10702, Milano, Italy, Jul. 2011.
28. S. Lin*, B. De Schutter, Y. Xi, and H. Hellendoorn. Fast model predictive control for urban road networks via MILP. IEEE Transactions on Intelligent Transportation Systems, 12(3):846-856, September 2011. DOI: 10.1109/TITS.2011.2114652
29. S. Lin*, B. De Schutter, S. Zegeye, J. Hellendoorn, and Y. Xi. Integrated urban traffic control for the reduction of travel delays and emissions. In Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems (ITSC 2010), pages 677-682, Madeira Island, Portugal, Sep. 2010.
30. S. Lin*, B. De Schutter, Y. Xi, and H. Hellendoorn. Model predictive control for urban traffic networks via MILP. In Proceedings of the 2010 American Control Conference, pages 2272-2277, Baltimore (MA), USA, June-July 2010.
31. S. Lin*, B. De Schutter, Y. Xi, and H. Hellendoorn. An efficient model-based method for coordinated control of urban traffic networks. In Proceedings of the 2010 IEEE International Conference on Networking, Sensing and Control, pages 8-13, Chicago (IL), USA, 2010.