項(xiàng)目 國(guó)家地方聯(lián)合實(shí)驗(yàn)室開(kāi)放課題：基于多維度感知數(shù)據(jù)融合的全波形反演深度學(xué)習(xí)方法研究，2024.6-2024.12，主持。 論文 [1] Deng Z, Xiang Y. A partitioning Monte Carlo approach for consensus tasks in crowdsourcing[J]. Expert Systems with Applications, 2025, 262: 125559.
[2] Deng Z, Xu Q, Min F, Xiang Y. VIF-Net: Interface completion in full waveform inversion using fusion networks[J]. Computers & Geosciences, 2025, 105834. In Press.
[3] Deng Z, Xiang Y. Multistep planning for crowdsourcing complex consensus tasks[J]. Knowledge-Based Systems, 2021, 231: 107447.
[4] Deng Z, Xiang Y, Kang Z. Build complementary models on human feedback for simulation to the real world[J]. Knowledge-Based Systems, 2021, 217: 106854.
[5] Deng Z, Xiang Y. Slither: finding local dense subgraphs measured by average degree[J]. Applied Intelligence, 2022, 52(5): 5034-5046. |
