A5032727892- Recommender Systems and Techniques
- Expert finding and Q&A systems
- Topic Modeling
- Pulsars and Gravitational Waves Research
- Surface Modification and Superhydrophobicity
- Icing and De-icing Technologies
- Advanced Graph Neural Networks
- Astrophysical Phenomena and Observations
- Astrophysics and Cosmic Phenomena
- Solid State Laser Technologies
- Fluid Dynamics and Heat Transfer
- Photorefractive and Nonlinear Optics
- Photonic Crystal and Fiber Optics
Google (United States)
2023
Tianjin University of Commerce
2023
Crystal Pharmatech (United States)
2011
We present the X-ray timing results of new black hole candidate (BHC) MAXI J1535-571 during its 2017 outburst from Hard Modulation Telescope (\emph{Insight}-HXMT) observations taken September 6 to 23. Following definitions given by \citet{Belloni2010}, we find that source exhibits state transitions Low/Hard (LHS) Intermediate (HIMS) and eventually Soft (SIMS). Quasi-periodic oscillations (QPOs) are found in intermediate states, which suggest different types QPOs. With large effective area...
Intra-cavity sum frequency generation (SFG) of c-cut Nd:YVO4 self-Raman laser was investigated for the first time. A 4 × 10 mm3 KTP crystal with a type-II phase-matching cutting angle (θ = 83.4°, φ 0°) used SFG between fundamental light at 1066 nm and first-Stokes 1178 nm. The system different curvature radii output couplers pulse repetition frequencies were investigated. At pump power 14 W 20 kHz, average yellow-green 560 up to 840 mW achieved, corresponding slope efficiency 7.6% conversion...
Recommendation system serves as a conduit connecting users to an incredibly large, diverse and ever growing collection of contents. In practice, missing information on fresh (and tail) contents needs be filled in order for them exposed discovered by their audience. We here share our success stories building dedicated content recommendation stack large commercial platform. To nominate contents, we built multi-funnel nomination that combines (i) two-tower model with strong generalization power...
Recommendation system serves as a conduit connecting users to an incredibly large, diverse and ever growing collection of contents. In practice, missing information on fresh (and tail) contents needs be filled in order for them exposed discovered by their audience. We here share our success stories building dedicated content recommendation stack large commercial platform. To nominate contents, we built multi-funnel nomination that combines (i) two-tower model with strong generalization power...