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Publications:

  • Information Theory & Coding Theory:

  1. B. Chen, S. -T. Xia, J. Hao and F. -W. Fu, “Constructions of Optimal Cyclic (r, δ) Locally Repairable Codes,”  IEEE Trans. Inf. Theory (TIT), vol.64, no. 4, pp. 2499–2511, April. 2018.

  2. Bin Chen, Weijun Fang, Shu-Tao Xia, Jie Hao and Fang-Wei Fu, “Improved Bounds and Singleton-Optimal Constructions of Locally Repairable Codes with Minimum Distance 5 and 6,” in IEEE Transactions on Information Theory (TIT), Jan. 2021, vol.67, no. 1, pp. 217–231.

  3. B. Chen,  W. Fang, S. -T. Xia,  and F. -W. Fu, “Constructions of Optimal (r, δ)-Locally Repairable Codes via Constacyclic Codes,”  IEEE Trans. on Communication (TCOM), vol.67, no. 8, pp. 5253–5263, Aug. 2019.

  4. Jie Hao, Shu-Tao Xia, Kenneth Shum, Bin Chen, Fang-Wei Fu and Yi-Xian Yang, “Bounds and Constructions of Locally Repairable Codes: Parity-check Matrix Approach,” in IEEE Transactions on Information Theory (TIT), Dec. 2020, vol.66, no. 12, pp. 7465–7474.

  5. B. Chen, S. -T. Xia and J. Hao, “Improved bounds and Optimal Constructions of Locally Repairable Codes with distance 5 and 6,”  in Proc. IEEE International Symposium on Information Theory (ISIT-19), Paris, France, Jul. 2019, pp. 2823–2827.

  6. B. Chen, S. -T. Xia, J. Hao and F. -W. Fu, “On Optimal Pseudo-cyclic (r, δ) Locally Repairable Codes,” in Proc. IEEE International Symposium on Information Theory (ISIT-18), Vail, USA, Jun. 2018, pp. 1191–1195.

  7. B. Chen, S. -T. Xia and J. Hao, “Locally Repairable Codes with Multiple (ri , δ i )-Localities,”  in Proc. IEEE International Symposium on Information Theory (ISIT-17), Aachen, Germany, Jul. 2017, pp. 2038–2042.

  8. B. Chen and S. -T. Xia, “Bandwidth Efficiency of Distance-optimal Scalar Locally Repairable Codes” in Proc. IEEE Information Theory Workshop (ITW-19), Guangzhou, China, Nov. 2018, pp. 270-274.

  9. W. Fang, B. Chen^, S. -T. Xia,  and F. -W. Fu, “Singleton-Optimal LRCs and Perfect LRCs via Cyclic Codes,”  IEEE International Symposium on Information Theory (ISIT-21), Virtual Conference, to appear.

  10. W. Fang*, B. Chen*, S. -T. Xia,  and F. -W. Fu, “Complete characterization of optimal lrcs with minimum distance 6 and locality 2: improved bounds and constructions,”  IEEE International Symposium on Information Theory (ISIT-20), Los Angeles, USA, to appear.

  11. W. Fang*, B. Chen*, S. -T. Xia,  and F. -W. Fu, “Perfect LRCs and k-optimal LRCs,”  IEEE International Symposium on Information Theory (ISIT-20), Los Angeles, USA, to appear.

  12. J. Hao, S. -T. Xia and B. Chen, “Some Results on Optimal Locally Repairable Codes,” in Proc. IEEE International Symposium on Information Theory (ISIT-16), Barcelona, Spain, Jul. 2016, pp. 645–649.

  13. J. Hao, S. -T. Xia and B. Chen, “On Optimal Ternary Locally Repairable Codes,” in Proc. IEEE International Symposium on Information Theory (ISIT-17), Aachen, Germany, Jul. 2017, pp. 171–175.

  14. J. Hao, S. -T. Xia and B. Chen, “Recursive Bounds for Locally Repairable Codes with Multiple Repair Groups,” in Proc. IEEE International Symposium on Information Theory (ISIT-16), Barcelona, Spain, Jul. 2016, pp. 440–444.

  15. J. Hao, S. -T. Xia and B. Chen, “On the linear codes with (r, δ)-locality for distributed storage''. 2017 IEEE International Conference on Communications (ICC-17), Paris, France, May. 2017.    

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  • Machine Learning & Deep Learning:

  1. Y. Feng*, B. Chen*, T. Dai, S.-T. Xia. “Adversarial Attack on Deep Product Quantization Network for Image Retrieval,” Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, USA, 2020.

  2. J. Yang*, B. Chen*^, S.-T. Xia,. “Mean-Removed Product Quantization for Large-scale Image Retrieval,” Neurocomputing, vol. 406, Sept. 2020. 

  3. J. Bai*, B. Chen*^, Y. Li*, D. Wu, W. Guo, S.-T. Xia.  E.-H. Yang, “Targeted Attack for Deep Hashing based Retrieval,” 13-th European Conference on Computer Vision (ECCV-20), Glasgow, UK, 2020. (Oral, 2%)

  4. T. Dai*, Y. Feng*, D. Wu, B. Chen^, et al, “DIPDefend: Deep Image Prior Driven Defense against Adversarial Examples,” 28th ACM International Conference on Multimedia (MM-20), Seattle, United States, 2020.

  5. Jinpeng Wang*, Bin Chen* ^, et al, `` Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval,”  Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21), accepted for publication.

  6. Jinpeng Wang, Bin Chen^, et al, `` Webly Supervised Deep Attentive Quantization,”  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-21), accepted for publication.

  7. Zhikang Xia*, Bin Chen* ^, et al, `` Class Aware Robust Training,”  2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-21), accepted for publication.

  8. Yuyuan Zeng, Tao Dai, Bin Chen, et al, `` Correlation-based Structural Dropout for Convolutional Neural Networks,” Pattern Recognition, accepted for publication.

 

 

 

 

*Equal Contribution;  ^Corresponding Author

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