Publications

Books and Proceedings:

[1] E.-H. Yang and B. J. Frey, Eds. Proceedings of the Eighth Canadian Workshop on Information Theory. The Canadian Society for Information Theory, Ottawa, Ontario, Canada, 2003.

Refereed Journal Papers:

[2] J. C. Kieffer and E.-H. Yang, "Survey of grammar-based data structure compression," IEEE BITS the Information Theory Magazine, pp. 1-12, Sept. 2022, https://doi.org/10.1109/MBITS.2022.3210891.

[3] E.-H. Yang, H. Amer, and Y. Jiang, "Compression helps deep learning in image classification," Entropy, 2021, 23, 881 (19 pages). https://doi.org/10.3390/e23070881.

[4] X. Wang, E.-H. Yang, D.-K. He, L. Song, and X. Yu, \Rate distortion optimization: A joint framework and algorithms for random access hierarchical video coding," IEEE Trans. on Image Processing, Vol. 29, pp. 9458-9469, Oct. 2020.

[5] H. Amer and E.-H. Yang, \Adaptive quantization parameter selection for low-delay HEVC via temporal propagation length estimation," Signal Processing: Image Communication, Vol. 84, Mar. 2020 (12 pages).

[6] J. He, E.-H. Yang, F. Yang, and K. Yang, "Adaptive quantization parameter selection algorithm for H.265/HEVC based on inter-frame dependency," IEEE Trans. Circuits Syst. Video Technol., Vol. 28, No. 12, pp. 3424-3436, Dec. 2018.

[7] H. Yin, H. Cai, E.-H.Yang, Y.Zhou, and J. Wu, "An efficient all-zero block detection algorithm for high efficiency video coding with RDOQ," Signal Processing: Image Communication, Vol. 60, pp. 79-90, Feb. 2018.

[8] Y. Fang, V. Stankovic, S. Cheng, and E.-H. Yang, "Analysis on tailed distributed arithmetic codes for uniform binary sources," IEEE Trans Commun., Vol. 64, No. 10, pp. 4305-4319, Oct. 2016 (15 double column pages).

[9] N. Hu and E.-H. Yang, Erratum to \Fast Mode Selection for HEVC Intra-Frame Coding With Entropy Coding Refinement Based on a Transparent Composite Model", IEEE Trans. Circuits Syst. Video Technol., Vol. 26, DOI: 10.1109/TCSVT.2016.2555242, April 25, 2016 (3 double column pages).

[10] Y. Fang, V. Stankovic, S. Cheng, and E.-H. Yang, "Hamming distance spectrum of DAC codes for equiprobable binary sources," IEEE Trans Commun., Vol. 64, No. 3, pp. 1232-1245, Mar. 2016

[11] E.-H. Yang and J. Meng, "New non-asymptotic random channel coding theorems for structured codes," IEEE Trans. on Information Theory, Vol. 61, No. 9, pp. 4534-4553, Sept. 2015.

[12] N. Hu and E.-H. Yang, "Fast mode selection for HEVC intra frame coding with entropy coding refinement based on transparent composite model," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 25, No.9, pp. 1521-1532, Sept. 2015.

[13] H. Yin, E.-H. Yang, and X. Yu, "Fast soft decision quantization with adaptive preselection and dynamic trellis graph," IEEE Trans. on Circuits and Systems for Video Technology, Vol. 25, No. 8, pp. 1362-1375, Aug. 2015.

[14] C. Sun and E.-H. Yang, "An efficient DCT-based image compression system based on Laplacian transparent composite model," IEEE Trans. on Image Processing, Vol. 24, No. 3, pp. 886-900, Mar. 2015.

[15] E.-H. Yang, C. Sun, and J. Meng, "Quantization table design revisited for image/video coding," IEEE Trans. on Image Processing, Vol. 23, No. 11, pp. 4799-4811, Nov. 2014.

[16] J. Meng. and E.-H. Yang, "Constellation and rate selection in adaptive modulation and coding based on finite blocklength analysis and its application to LTE," IEEE Trans. on Wireless Communications, Vol. 13 , No. 10 , pp. 5496-5508, Oct. 2014.

[17] S. Yang, S. Ho, J. Meng, and E.-H. Yang, "Capacity analysis of linear operator channels
over finite fields," IEEE Trans. on Information Theory, Vol. 60, No. 8, pp. 4880- 4901, Aug. 2014.

[18] N. Hu and E.-H. Yang 鈥淔补蝉迟 motion estimation based on confidence 颈苍迟别谤惫补濒,鈥 IEEE Trans. on Circuits and Systems for Video Technology, Vol. 24, No. 8, pp. 1310 鈥 1322, Aug. 2014.

[19] E.-H. Yang, X. Yu, J. Meng, and C. Sun, 鈥淭谤补苍蝉辫补谤别苍迟 composite model for DCT coefficients: Design and analysis,鈥 IEEE Transactions on Image Processing, Vol. 23, No. 3, pp. 1303 鈥 1316, Mar. 2014.

[20] J. Zhang, E.-H. Yang, and J. C. Kieffer, 鈥淎 universal grammar-based code for lossless compression of binary trees,鈥 IEEE Trans. on Information Theory, Vol. 60, No. 3, pp. 1373 鈥 1386, Mar. 2014.

[21] E.-H. Yang, L. Zheng, and D.-K. He, 鈥淥苍 the information theoretic performance com- parison of causal video coding and predictive video 肠辞诲颈苍驳,鈥 IEEE Trans. on Infor-mation Theory, Vol. 60, No. 3, pp. 1428 鈥 1446, Mar. 2014.

[22] J. Ho and E.-H. Yang, 鈥凄esigning optimal multiresolution quantizers with error de- tecting 肠辞诲别蝉,鈥 IEEE Trans. on Wireless Communications, Vol. 12, No. 7, pp. 3588

鈥 3599, July 2013 (12 double-column pages)

[23] J. Meng and E.-H. Yang, 鈥泪苍迟别谤补肠迟颈惫e encoding and decoding based on binary LDPC codes with syndrome 补肠肠耻尘耻濒补迟颈辞苍,鈥 IEEE Trans. on Information Theory, Vol. 59, No. 9, pp. 3068鈥3103, May 2013 (36 double-column pages).

[24] J. Meng, E.-H. Yang, and D.-K. He, 鈥淟inear interactive encoding and decoding schemes for lossless source coding with decoder only side 颈苍蹿辞谤尘补迟颈辞苍,鈥 IEEE Trans. on Infor-mation Theory, Vol. 57, No. 8, pp. 5281鈥5297, August 2011.

[25] E.-H. Yang, L. Zheng, D.-K. He, and Z. Zhang, 鈥淩ate distortion theory for causal video coding: Characterization, computation algorithm, and comparison,鈥 IEEE Trans. onInformation Theory, Vol. 57, No. 8, pp. 5258鈥5280, August 2011.

[26] James Ho and E.-H. Yang, 鈥淐谤辞蝉蝉 layer coding optimization for mobile IPTV delivery,鈥

IEEE COMSOC MMTC E-Letter, Vol. 6, No. 1, pp.52鈥54, January 2011.

[27] X. Yu, H. Wang, and E.-H. Yang, 鈥凄esign and analysis of optimal noisy channel quantization with random index assignmen迟,鈥 IEEE Trans. Information Theory, Vol. 56, No. 11, pp. 5796鈥5804, Nov. 2010.

[28] E.-H. Yang and D.-K. He, 鈥泪苍迟别谤补肠迟颈惫e encoding and decoding for one way learning: Near lossless recovery with side information at the decoder,鈥 IEEE Trans. Information Theory, Vol. 56, No. 4, pp. 1808鈥1824, April 2010.

[29] H. Wang, E.-H. Yang, Z. Zhao, and W. Zhang, 鈥淪pectrum sensing in cognitive radio using goodness of fi testing,鈥 IEEE Transactions on Wireless Communications, Vol.8, No. 11, pp. 5427鈥5430, Nov. 2009.

[30] D.-K. He, L. A. Lastras-Montano, E.-H. Yang, A. Jagmohan, and J. Chen, 鈥淥苍 the redundancy of Slepian-Wolf 肠辞诲颈苍驳,鈥 IEEE Trans. Information Theory, Vol. 55, No. 12, pp. 5607鈥5627, Dec. 2009.

[31] J. Chen, D.-K. He, A. Jagmohan, L. A. Lastras-Montano, and E.-H. Yang, 鈥淥苍 the linear codebook-Level duality between Slepian-Wolf coding and channel 肠辞诲颈苍驳,鈥 IEEETrans.Information Theory, Vol. 55, No. 12, pp. 5575鈥5590, Dec. 2009.

[32] J. She, X. Yu, P.-H. Ho, and E.-H. Yang, 听鈥淎 cross-layer听 design framework for听 ro- bust IPTV services over IEEE 802.16 netw辞谤办蝉,鈥 IEEE Journal on Selected Areas in Communications, Vol. 27, No. 2, pp. 235鈥245, Feb. 2009.

[33] E.-H. Yang and Longji Wang, 鈥淛辞颈苍迟 optimization of run-length coding, Huffman cod- ing and quantization table with complete baseline JPEG decoder compatibility,鈥 IEEETrans. Image Processing, Vol. 18, No. 1, pp. 63鈥74, January 2009.

[34] X. Yu, E.-H. Yang, and H. Wang, 鈥凄own-sampling design in DCT domain with arbi- trary ratio for image/video trans肠辞诲颈苍驳,鈥 IEEE Trans. Image Processing, Vol. 18, No. 1, 75鈥89, January 2009.

[35] E.-H. Yang and X. Yu, 鈥沦辞蹿迟 decision quantization for H.264 with main profi com- 辫补迟颈产颈濒颈迟测,鈥 IEEE Transactions on Circuits and Systems for Video Technology, Vol. 19, No. 听1, pp. 听122鈥127, January 2009.

[36] E.-H. Yang, D.-K. He, T. Uyetmasu, and R. W. Yeung, 鈥淯苍颈惫别谤sal multiterminal source coding algorithms with asymptotically zero feedback: Fixed database case,鈥 IEEE Trans. Information Theory,Vol. 54, No. 12, pp. 5575鈥5590, December 2008.

[37] E.-H. Yang and W. Sun, 鈥淥苍 information embedding when watermarks and covertexts are correlated,鈥 IEEE Trans. Information Theory, Vol. 54, No. 7, pp. 3340鈥3345, July 2008.

[38] Y. Jia, E.-H. Yang, D.-K. He, and S. Chan, 鈥淎 greedy re-normalization method for arithmetic 肠辞诲颈苍驳,鈥 IEEE Trans. Communications, Vol. 55, No. 8, pp. 1494鈥1503, August 2007.

[39] E.-H. Yang and X. Yu, 鈥淩ate distortion optimization for H.264 inter-frame video cod- ing: A general framework and algorithms,鈥 IEEE Trans. on Image Processing, Vol.16, No.7, pp. 1774鈥1784, July 2007.

[40] Z. Wang, G. Wu, H. R. Sheikh, E. P. Simoncelli, E.-H. Yang, and A. C. Bovik, 鈥净耻补濒颈迟测 aware 颈尘补驳别蝉,鈥 IEEE Trans. Image Processing, Vol. 15, No. 6, pp. 1680鈥1689, 2006.

[41] D.-K. He and E.-H. Yang, 鈥淭丑别 universality of grammar-based codes for sources with countably infi 补濒辫丑补产别迟蝉,鈥 IEEE Trans. Inform. Theory, Vol. 51, No. 11, pp. 3753鈥3765, November 2005.

[42] G. Wu and E.-H. Yang, 鈥淛辞颈苍迟 watermarking and compression using scalar quantization for maximizing robustness in the presence of additive Gaussian 补迟迟补肠办蝉,鈥 IEEE Trans.Signal Processing, Vol. 53, No. 2, pp. 834鈥844, February 2005.

[43] W. Sun and E. H. Yang, 鈥淐濒辞蝉别诲-蹿辞谤尘 formulas for private watermarking capacities of Laplacian sources with the magnitude-error distortion measure and under Additive 补迟迟补肠办蝉,鈥 LectureNotes in Computer Science (LNCS) 3710, pp. 361鈥371, 2005.

[44] H.-F. Lu, P. V. Kumar, and E.-H. Yang, 鈥淥苍 the input-output weight enumerators of product accumulate 肠辞诲别蝉,鈥 IEEE Communications Letters, Vol. 8, No. 8, pp. 520鈥522, August 2004.

[45] J. C. Kieffer, W. Szpankowski, and E.-H. Yang, 鈥淧roblems on sequences: Information theory and computer science 颈苍迟别谤蹿补肠别,鈥 IEEE Trans. Inform. Theory, Vol. 50, No. 7, pp. 1385鈥1392, July 2004.

[46] W. Sun and E.-H. Yang, 鈥淥苍 the Capacity Regions of Public Multiple-Access Gaussian Watermarking 厂测蝉迟别尘蝉鈥, LectureNotes in Computer Science 3200, pp.38鈥51, 2004.

[47] J. C. Kieffer and E.-H. Yang, 鈥淕rammar-based lossless universal refinement source 肠辞诲颈苍驳,鈥 IEEE Trans. Inform. Theory, Vol. 50, No. 7, pp. 1415鈥1424, July 2004.

[48] D.-K. He and E.-H. Yang, 鈥淧erformance analysis of grammar-based codes 谤别惫颈蝉颈迟别诲,鈥

IEEE Trans. Inform. Theory, Vol. 50, No. 7, pp. 1524鈥1535, July 2004.

[49] D.-W. Yue and E.-H. Yang, 鈥淎symptotically Gaussian weight distribution and per- formance of multi-dimensional Turbo block codes and product 肠辞诲别蝉,鈥 IEEE Trans.Communications, Vol. 52, No.5, pp. 728鈥736, May 2004.

[50] 听A. Kaltchenko and E.-H. Yang, 鈥淯苍颈惫别谤sal compression of ergodic quantum 蝉辞耻谤肠别蝉,鈥

Quantum Information and Computation, Vol.3, No.4, pp. 359鈥375, July, 2003.

[51] Y. Jia and E.-H. Yang, 鈥淐辞苍迟别虫迟-诲别辫别苍诲别苍迟 multilevel pattern matching for lossless image compression,鈥 IEEE Trans. Inform. Theory, Vol. 49, No. 12, pp. 3169鈥3184, December 2003.

[52] E.-H. Yang and Da-ke He, 鈥淓蹿蹿颈肠颈别苍迟 universal lossless compression algorithms based on a greedy sequential grammar 迟谤补苍蝉蹿辞谤尘鈥扬补谤迟 two: With context 听尘辞诲别濒蝉,鈥 听IEEE Trans. Inform. Theory, Vol. 49, No. 11, pp. 2874鈥2894, November 2003.

[53] E.-H. Yang and D.-K. He, 鈥淗uffman 肠辞诲颈苍驳,鈥 The Wiley Encyclopedia of Telecommu- nications, 2002.

[54] J. C. Kieffer and E.-H. Yang, 鈥淪tructured grammar-based codes for universal lossless data compression,鈥 Communicationsin Information and Systems, Vol. 2, No. 1, pp. 29-52, June 2002 (InvitedPaper).

[55] E.-H. Yang and Z. Zhang, 鈥淭丑别 redundancy of source coding with a fi y criterion鈥 Part II: Coding at a fi rate level with unknown 蝉迟补迟颈蝉迟颈肠蝉,鈥 IEEE Trans. Inform.Theory, Vol.IT-47, No. 1, pp. 126鈥145, January 2001.

[56] E.-H. Yang, A. Kaltchenko, and J. C. Kieffer, 鈥淯苍颈惫别谤sal lossless data compression with side information by using a conditional MPM grammar transform,鈥 IEEE Trans.Inform. Theory, Vol.IT-47, no.6, pp. 2130鈥2150, September 2001.

[57] Q. Liu, E.-H. Yang, and Z. Zhang, 鈥淭hroughput analysis of CDMA systems using multiuser 谤别肠别颈惫别谤蝉鈥, IEEE Transactions on Communications, Vol. 49, No. 7, pp. 1192鈥1202, July 2001.

[58] E.-H. Yang and Y. Jia, 鈥淯苍颈惫别谤sal lossless coding of sources with large or unbounded 补濒辫丑补产别迟蝉,鈥 Numbers,Information and Complexity(Ingo Althofer, et al, eds.), Kluwer Academic Publishers, pp. 听421-442, February 2000.

[59] J. C. Kieffer, E.-H. Yang, G. Nelson, and P. Cosman, 鈥淯苍颈惫别谤sal lossless compression via multilevel pattern 尘补迟肠丑颈苍驳,鈥 IEEE Trans. Inform. Theory, Vol.IT-46, No. 4, pp. 1227鈥1245, July 2000.

[60] J. C. Kieffer and E.-H. Yang, 鈥淕rammar based codes: A new class of universal lossless source 肠辞诲别蝉,鈥 IEEE Trans. Inform. Theory, Vol.IT-46, No. 3, pp. 737鈥754, May 2000.

[61] E.-H. Yang and J. C. Kieffer, 鈥淓蹿蹿颈肠颈别苍t universal lossless compression algorithms based on a greedy sequential grammar 迟谤补苍蝉蹿辞谤尘鈥扬补谤迟 one: Without context 尘辞诲别濒蝉,鈥 IEEETrans.Inform. Theory, Vol.IT-46, No. 3, pp. 755鈥777, May 2000.

[62] B. Zhu, E.-H. Yang, and A. H. Tewfik, 鈥淎谤颈迟丑尘别迟颈肠 coding with dual symbol sets and its performance analysis,鈥 IEEE Trans. Image Processing, Vol. 8, No. 12, pp. 1667鈥1676, December 1999.

[63] E.-H. Yang and Z. Zhang, 鈥淭丑别 shortest common superstring problem: Average case analysis for both exact matching and approximate matc丑颈苍驳,鈥 IEEE Trans. Inform.Theory, Vol. IT-45, No. 6, pp. 1867鈥1886, Sept. 1999.

[64] E.-H. Yang and Z. Zhang, 鈥淥苍 the redundancy of lossy source coding with abstract 补濒辫丑补产别迟蝉,鈥 IEEE Trans. Inform. Theory, Vol. IT-45, No. 4, pp. 1092鈥1110, May 1999. 听听听[65] E.-H. Yang and Z. Zhang, 鈥淰补谤颈补产le rate trellis source en肠辞诲颈苍驳,鈥 IEEE Trans. Inform.Theory, Vol. IT-45, No. 2, pp. 586鈥608, March 1999.

[66] E.-H. Yang and Z. Zhang, 鈥淎n on-line universal lossy data compression algorithm via continuous codebook refinemen迟鈥扬补谤迟 III: Redundancy analysis,鈥 IEEE Trans. Inform.Theory, Vol. IT-44, No. 5, pp. 1782-1801, Sept. 1998.

[67] E.-H. Yang and J. C. Kieffer, 鈥淥苍 the performance of data compression algorithms based upon string 尘补迟肠丑颈苍驳,鈥 IEEE Trans. Inform. Theory, Vol. IT-44, No. 1, pp. 47鈥65, Jan. 1998.

[68] 听E.-H. Yang, Z. Zhang, and T. Berger, 鈥淔ixed slope universal lossy data compression,鈥

IEEE Trans. Inform. Theory, Vol. IT-43, No. 5, pp. 1465鈥1476, Sept. 1997.

[69] E.-H. Yang and J. C. Kieffer, 鈥淥苍 the redundancy of the fi database Lempel-Ziv algorithm for 蠁-mixing 蝉辞耻谤肠别蝉,鈥 IEEE Trans. Inform. Theory, Vol. IT-43, No. 4, pp. 1101鈥1111, July 1997.

[70] W.-S. Chen, E.-H. Yang, and Z. Zhang, 鈥淎 new efficient image compression technique with index-matching vector 辩耻补苍迟颈锄补迟颈辞苍,鈥 IEEE Trans. Consumer Electronics, Vol. 43, No.2, pp. 173鈥182, May 1997.

[71] John C. Kieffer and E.-H. Yang, 鈥淓谤驳辞诲颈肠 behavior of graph entropy,鈥 ERA Amer. Math. Society, Vol. 3, No. 1, pp. 11-16, 1997.

[72] R. Ahlswede, E.-H. Yang, and Z. Zhang, 鈥泪诲别苍迟颈蹿颈肠补迟颈辞苍 via compressed data,鈥 IEEETrans.Inform. Theory, Vol. IT-43, No.1, pp. 48鈥70, Jan. 1997.

[73] Z. Zhang, E.-H. Yang, and V. K. Wei, 鈥淭丑别 redundancy of source coding with a fi y 肠谤颈迟别谤颈辞苍鈥扬补谤迟 I: Known 蝉迟补迟颈蝉迟颈肠蝉,鈥 IEEE Trans. Inform. Theory, Vol. IT-43, No.1, pp. 71鈥91, Jan. 1997.

[74] Z. Zhang and E.-H. Yang, 鈥淎n on-line universal lossy data compression algorithm via continuous codebook refinemen迟鈥扬补谤迟 II: Optimality for phi-mixing source Models,鈥 IEEE Trans. Inform. Theory, Vol. IT-42, No.3, pp. 822鈥836, March 1996.

[75] E.-H. Yang and J. C. Kieffer, 鈥淪imple universal lossy data compression schemes derived from the Lempel鈥揨iv algorithm,鈥 IEEE Trans. Inform. Theory, Vol. IT-42, No. 1, pp. 239鈥245, January 1996.

[76] J. C. Kieffer and En-hui Yang, 鈥沦别辩耻别苍迟颈补濒 codes, lossless compression of individual sequences, and Kolmogorov complexity,鈥 IEEE Trans. Inform. Theory, Vol. IT-42, No. 1, pp. 29鈥39, January 1996.

[77] 听En-hui Yang and Shi-yi Shen, 鈥凄istortion program-size complexity with respect to a fi 听y 听criterion 听and 听rate听 distortion 听function,鈥 听IEEE Trans. 听Inform. 听Theory, 听Vol. IT-39, No. 1, pp. 288鈥292, 1993.

[78] En-hui Yang, 鈥淟imit theorems for Chaitin complexity,鈥 Chinese Science Bulletin, Vol.No. 21, 1992.

[79] En-hui Yang, 鈥淯苍颈惫别谤sal almost sure data compression for abstract alphabets and arbitrary fi听 听y criterions,鈥 Problemsof Control and Information theory, Vol.20(6), pp. 397鈥408, 1991.

[80] En-hui Yang and Shi-yi Shen, 鈥淐haitin complexity, Shannon information content of a single event, and infi听 听random 蝉别辩耻别苍肠别蝉鈥摈补谤迟 辞苍别,鈥, Sciencein China Series A, Vol. 34, No.10, pp. 1183鈥1193, 1991.

[81] En-hui Yang and Shi-yi Shen, 鈥淐haitin complexity, Shannon information content of a single event, and infi te random sequences鈥攑art tw辞,鈥 Sciencein China Series A , Vol. 34, No. 11, pp.1307鈥1319, 1991.

[82] En-hui Yang, 鈥淭丑别 proof of Levin鈥檚 conjecture,鈥 Chinese Science Bulletin, Vol. 34, No.21, pp.1761鈥1765, Nov. 1989.