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  1. en.wikipedia.org › wiki › Ha_Jung-wooHa Jung-woo - Wikipedia

    Kim Sung-hoon (born March 11, 1978), better known as Ha Jung-woo ( Korean : 하정우 ), is a South Korean actor, film director, screenwriter and film producer. One of the highest grossing actors in South Korea, Ha's starring films have accumulated more than 100 million tickets.

  2. Ha Jung Woo, born in Seoul, South Korea, is a popular and award-winning South Korean actor. He came from a family of four, including his mother, father, and one younger brother. Jung Woo's father, Kim Yong Gun, is a well-known actor, who has appeared in many movies and television series, while his younger brother, Cha Hyun Woo, is an aspiring ...

  3. 1 Karriere. 2 Filmografie. 2.1 Als Schauspieler. 2.2 Als Regisseur/Drehbuchautor. 3 Weblinks. 4 Einzelnachweise. Karriere. Er erhielt dreimal den Paeksang Art Award in der Kategorie Bester Schauspieler für die Filme Take Off (2010), The Yellow Sea (2011) und The Berlin File (2013).

  4. Ha Jung-Woo (born as Kim Seong-hun on March 11, 1979 in Seoul, South Korea) is a popular and award winning South Korean actor. He came from a family of four, including his mother, father, and one younger brother.

  5. www.imdb.com › name › nm1978402Ha Jung-woo - IMDb

    Actor: The Yellow Sea. Jung-woo Ha is a South Korean actor, film director, screenwriter and film producer. His breakthrough to stardom came with the role in Na Hong-jin's serial killer film The Chaser (2008). Born as Kim Sung-hoon, Ha Jung-woo came from an acting family.

  6. www.rottentomatoes.com › celebrity › ha_jeong_u_2Ha Jung-woo | Rotten Tomatoes

    Highest Rated: 100% Tunnel (2016) Lowest Rated: 43% The Berlin File (2013) Birthday: Mar 11, 1978. Birthplace: Seoul, South Korea. Ha Jung-woo was an actor who had a successful Hollywood...

  7. Dataset Condensation via Efficient Synthetic-Data Parameterization. JH Kim, J Kim, SJ Oh, S Yun, H Song, J Jeong, JW Ha, HO Song. arXiv preprint arXiv:2205.14959 (ICML 2022) , 2022. 90. 2022. Reinforcement learning based recommender system using biclustering technique. S Choi, H Ha, U Hwang, C Kim, JW Ha, S Yoon.