李險峰-凯发官网下载客户端安装

associate professor li, xianfeng

school of computer science and engineering, faculty of innovation engineering

macau university of science and technology

office: a317

tel.: 853-8897 3036

e-mail:

• ph.d., national university of singapore, 2005
• b.sc., beijing institute of technology, 1995

undergraduate courses:
cs230 computer organization
cs231 computer organization laboratory
se370/eie470 computer networks
se371 computer networks laboratory

phd courses:
diae01 deep learning
dine02 network routing protocol and its theory

artificial intelligece of things (aiot), edge intelligence, hw/sw codesign of embedded systems, dataplane of high-performance networking

• 2019 - present: associate professor, school of computer science and engneering, macau university of science and technology
• 2009 - 2019: associate professor, school of electric and computer engineering, peking university shenzhen graduate school
• 2008 - 2009: lecturer, , microprocessor research and development center, peking university shenzhen graduate school
• 2006 - 2008: postdoctoral researcher, school of eecs, peking university

1. x. li and g. li, “hb-retriple: mobile rendering optimization based on efficient history reusing,” journal of systems architecture (jsa), vol. 129, p. 102627, aug. 2022, doi: 10.1016/j.sysarc.2022.102627.
2. m. chen, x. li, w. zhou, y. li, and f. deng, “looppara: an architecture-transparent acceleration framework for loops by exploiting data-level parallelism,” in 2021 ieee 6th international conference on computer and communication systems (icccs), apr. 2021, pp. 22–27. doi: 10.1109/icccs52626.2021.9449282.
3. x. li, c. xu, and q. zhao, “shellproof: more efficient zero-knowledge proofs for confidential transactions in blockchain,” presented at the ieee international conference on blockchain and cryptocurrency (icbc), toronto, canada, may 2020.
4. x. li and g. li, “an adaptive cpu-gpu governing framework for mobile games on big.little architectures,” ieee transactions on computers (tc), pp. 1–1, 2020, doi: 10.1109/tc.2020.3012987.
5. x. li, g. li, and x. cui, “retriple: reduction of redundant rendering on android devices for performance and energy optimizations,” in 2020 57th acm/ieee design automation conference (dac), jul. 2020, pp. 1–6. doi: 10.1109/dac18072.2020.9218517.
6. w. li t. yang, o. rottenstreich, x. li, g. xie, h. li, b. vamanan, d. li, h. lin, “tuple space assisted packet classification with high performance on both search and update,” ieee journal on selected areas in communications (jsac), vol. 38, no. 7, pp. 1555–1569, jul. 2020, doi: 10.1109/jsac.2020.2986935.
7. m. guo, m. chen, c. ma, y. li, x. li, and x. xie, “high-level task-driven single image deraining: segmentation in rainy days,” in neural information processing, cham, 2020, pp. 350–362. doi: 10.1007/978-3-030-63830-6_30.
8. x. li and y. wang, “a versatile acceleration framework for machine learning algorithms,” in 2019 ieee intl conf on parallel distributed processing with applications (ispa), dec. 2019, pp. 493–500. doi: 10.1109/ispa-bdcloud-sustaincom-socialcom48970.2019.00076.
9. x. li and y. huang, “a flow table with two-stage timeout mechanism for sdn switches,” in 2019 ieee 21st international conference on high performance computing and communications (hpcc), aug. 2019, pp. 1804–1809. doi: 10.1109/hpcc/smartcity/dss.2019.00248.
10. x. li, j. chen, f. deng, and h. li, “profit-driven adaptive moving targets search with uav swarms,” sensors, vol. 19, no. 7, p. 1545, jan. 2019, doi: 10.3390/s19071545.
11. w. li, d. li, x. liu, t. huang, x. li, w. le, h. li, “a power-saving pre-classifier for tcam-based ip lookup,” computer networks, vol. 164, p. 106898, dec. 2019, doi: 10.1016/j.comnet.2019.106898.
12. x. li and t. zhang, “stgm: a spatiotemporally correlated group mobility model for flying ad hoc networks,” in communications and networking, 2018, pp. 391–400.
13. x. li, j. chen, and j. li, “fates: a framework with adaptive track-explore strategy for moving targets search by a fanet,” in 2018 ieee intl conf on parallel & distributed processing with applications (ispa), melbourne, australia, dec. 2018, pp. 856–861. doi: 10.1109/bdcloud.2018.00127.
14. x. li, j. li, and j. chen, “effective cooperative uav searching using adaptive stgm mobility model in a fanet,” in 2018 ieee intl conf on parallel distributed processing with applications, ubiquitous computing communications (ispa), dec. 2018, pp. 295–301. doi: 10.1109/bdcloud.2018.00054.
15. w. li, x. li, h. li, and g. xie, “cutsplit: a decision-tree combining cutting and splitting for scalable packet classification,” in ieee infocom 2018 - ieee conference on computer communications (infocom), apr. 2018, pp. 2645–2653. doi: 10.1109/infocom.2018.8485947.
16. x. li and j. yan, “lepr: link stability estimation-based preemptive routing protocol for flying ad hoc networks,” in 2017 ieee symposium on computers and communications (iscc), jul. 2017, pp. 1079–1084. doi: 10.1109/iscc.2017.8024669.
17. x. li and w. xie, “craft: a cache reduction architecture for flow tables in software-defined networks,” in 2017 ieee symposium on computers and communications (iscc), jul. 2017, pp. 967–972. doi: 10.1109/iscc.2017.8024651.
18. x. li and j. huang, “abpp: an adaptive beacon scheme for geographic routing in fanet,” in 2017 18th international conference on parallel and distributed computing, applications and technologies (pdcat), dec. 2017, pp. 293–299. doi: 10.1109/pdcat.2017.00055.
19. x. li, guikang chen, and wen wen, “energy-efficient execution for repetitive app usages on big.little architectures,” in 2017 54th acm/edac/ieee design automation conference (dac), jun. 2017, pp. 1–6. doi: 10.1145/3061639.3062239.
20. x. li and j. chen, “an efficient framework for target search with cooperative uavs in a fanet,” in 2017 ieee international symposium on parallel and distributed processing with applications (ispa), dec. 2017, pp. 306–313. doi: 10.1109/ispa/iucc.2017.00051.
21. x. li, t. zhang, and j. li, “a particle swarm mobility model for flying ad hoc networks,” in globecom 2017 - 2017 ieee global communications conference (globecom), dec. 2017, pp. 1–6. doi: 10.1109/glocom.2017.8253966.
22. w. li, x. li, and h. li, “meet-ip: memory and energy efficient tcam-based ip lookup,” in 2017 26th international conference on computer communication and networks (icccn), jul. 2017, pp. 1–8. doi: 10.1109/icccn.2017.8038369.
23. x. li, y. lin, and w. li, “greentcam: a memory- and energy-efficient tcam-based packet classification,” in 2016 international conference on computing, networking and communications (icnc), feb. 2016, pp. 1–6. doi: 10.1109/iccnc.2016.7440722.
24. x. li and y. lin, “tapac: a tcam-assisted algorithmic packet classification with bounded worst-case performance,” in 2016 ieee global communications conference (globecom), dec. 2016, pp. 1–6. doi: 10.1109/glocom.2016.7842313.
25. x. li, w. wen, and x. wang, “usage history-directed power management for smartphones,” in algorithms and architectures for parallel processing: 15th international conference, ica3pp 2015, zhangjiajie, china, november 18-20, 2015
26. r. shen, x. li, and h. li, “a space- and power-efficient multi-match packet classification technique combining tcams and srams,” journal of supercomputing, vol. 69, no. 2, pp. 673–692, jan. 2014, doi: 10.1007/s11227-014-1109-x.
27. t. zhang, x. li, and r.-z. guo, “producing virtual face images for single sample face recognition,” optik - international journal for light and electron optics, vol. 125, no. 17, pp. 5017–5024, sep. 2014, doi: 10.1016/j.ijleo.2014.01.171.
28. w. li and x. li, “hybridcuts: a scheme combining decomposition and cutting for packet classification,” in 2013 ieee 21st annual symposium on high-performance interconnects (hoti), aug. 2013, pp. 41–48. doi: 10.1109/hoti.2013.12.
29. x. li, a. roychoudhury, t. mitra, p. mishra, and x. cheng, “a retargetable software timing analyzer using architecture description language,” in 2007 asia and south pacific design automation conference, jan. 2007, pp. 396–401. doi: 10.1109/aspdac.2007.358018.
30. y.-l. zhao, x.-f. li, d. tong, and x. cheng, “an energy-efficient instruction scheduler design with two-level shelving and adaptive banking,” journal of computer science and technology, vol. 22, no. 1, pp. 15–24, jan. 2007, doi: 10.1007/s11390-007-9001-2.
31. x. li, y. liang, t. mitra, and a. roychoudhury, “chronos: a timing analyzer for embedded software,” science of computer programming, vol. 69, no. 1, pp. 56–67, dec. 2007, doi: 10.1016/j.scico.2007.01.014.
32. x. li, a. roychoudhury, and t. mitra, “modeling out-of-order processors for wcet analysis,” real-time systems, vol. 34, no. 3, pp. 195–227, nov. 2006, doi: 10.1007/s11241-006-9205-5.
33. x. li, t. mitra, and a. roychoudhury, “modeling control speculation for timing analysis,” real-time systems, vol. 29, no. 1, pp. 27–58, jan. 2005, doi: 10.1023/b:time.0000048933.15922.f9.
34. x. li, a. roychoudhury, and t. mitra, “modeling out-of-order processors for software timing analysis,” in proceedings of the 25th ieee international real-time systems symposium, washington, dc, usa, 2004, pp. 92–103. doi: 10.1109/real.2004.33.
35. x. li, h. s. negi, t. mitra, and a. roychoudhury, “design space exploration of caches using compressed traces,” in proceedings of the 18th annual international conference on supercomputing (ics), new york, ny, usa, 2004, pp. 116–125. doi: 10.1145/1006209.1006227.
36. x. li, t. mitra, and a. roychoudhury, “accurate timing analysis by modeling caches, speculation and their interaction,” in proceedings of the 40th annual design automation conference, new york, ny, usa, 2003, pp. 466–471. doi: 10.1145/775832.775953.

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