Research output per year
Research output per year
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Dive into the research topics where Jing Li is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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AMCilk: A Framework for Multiprogrammed Parallel Workloads
Wang, Z., Xu, C., Agrawal, K. & Li, J., Dec 2020, Proceedings - 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics, HiPC 2020. Institute of Electrical and Electronics Engineers Inc., p. 212-222 11 p. 9406622. (Proceedings - 2020 IEEE 27th International Conference on High Performance Computing, Data, and Analytics, HiPC 2020).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Axis-guided patch based accurate segmentation for pathological vessels using adaptive weight sparse representation
Hu, X., Ding, D., Li, Z., Ge, Q., Jiang, C., Li, J., Zhou, Z. & Chu, D., Mar 2020, In: Biomedical Signal Processing and Control. 57, 101817.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Generalizable resource allocation in stream processing via deep reinforcement learning
Ni, X., Li, J., Yu, M., Zhou, W. & Wu, K. L., 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 857-864 8 p. (AAAI 2020 - 34th AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay
Agrawal, K., Baruah, S., Guo, Z., Li, J. & Vaidhun, S., Dec 2020, Proceedings - 2020 IEEE 41st Real-Time Systems Symposium, RTSS 2020. Institute of Electrical and Electronics Engineers Inc., p. 63-75 13 p. 9355536. (Proceedings - Real-Time Systems Symposium; vol. 2020-December).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Maximizing throughput in flow shop real-time scheduling
Yamin, L. B., Li, J., Sarpatwar, K., Schieber, B. & Shachnai, H., Aug 1 2020, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2020. Byrka, J. & Meka, R. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, APPROX48. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 176).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution