Hidekazu Oiwa

18 papers A* 4B 2Journal 8Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
DeepSearchQA: Bridging the Comprehensiveness Gap for Deep Research Agents.
CoRR
Nikita Gupta, Riju Chatterjee, Lukas Haas, Connie Tao, Andrew Wang, Chang Liu, Hidekazu Oiwa, Elena Gribovskaya, Jan Ackermann, John Blitzer, Sasha Goldshtein, Dipanjan Das
2018 J jnl
Mining Words in the Minds of Second Language Learners for Learner-specific Word Difficulty.
J. Inf. Process.
Yo Ehara, Issei Sato, Hidekazu Oiwa, Hiroshi Nakagawa
2018 J jnl
Scalable Semantic Querying of Text.
CoRR
Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Y. Halevy, George A. Mihaila, Hidekazu Oiwa, Wang-Chiew Tan
2018 J jnl
Scalable Semantic Querying of Text.
Proc. VLDB Endow.
Xiaolan Wang, Aaron Feng, Behzad Golshan, Alon Y. Halevy, George A. Mihaila, Hidekazu Oiwa, Wang-Chiew Tan
2017 J jnl
A Lightweight Front-end Tool for Interactive Entity Population.
CoRR
Hidekazu Oiwa, Yoshihiko Suhara, Jiyu Komiya, Andrei Lopatenko
2017 A* conf
Knowledge Transfer for Out-of-Knowledge-Base Entities : A Graph Neural Network Approach.
IJCAI
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
2017 J jnl
Knowledge Transfer for Out-of-Knowledge-Base Entities: A Graph Neural Network Approach.
CoRR
Takuo Hamaguchi, Hidekazu Oiwa, Masashi Shimbo, Yuji Matsumoto
2014 B conf
Common Space Embedding of Primal-Dual Relation Semantic Spaces.
COLING
Hidekazu Oiwa, Jun'ichi Tsujii
2014 J jnl
Feature-aware regularization for sparse online learning.
Sci. China Inf. Sci.
Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa
2014 A* conf
Formalizing Word Sampling for Vocabulary Prediction as Graph-based Active Learning.
EMNLP
Yo Ehara, Yusuke Miyao, Hidekazu Oiwa, Issei Sato, Hiroshi Nakagawa
2014 A* conf
Online and Stochastic Learning with a Human Cognitive Bias.
AAAI
Hidekazu Oiwa, Hiroshi Nakagawa
2014 — conf
Partition-wise Linear Models.
NIPS
Hidekazu Oiwa, Ryohei Fujimaki
2014 J jnl
Partition-wise Linear Models.
CoRR
Hidekazu Oiwa, Ryohei Fujimaki
2014 — conf
Robust Distributed Training of Linear Classifiers Based on Divergence Minimization Principle.
ECML/PKDD (2)
Junpei Komiyama, Hidekazu Oiwa, Hiroshi Nakagawa
2013 — conf
Understanding seed selection in bootstrapping.
TextGraphs@EMNLP
Yo Ehara, Issei Sato, Hidekazu Oiwa, Hiroshi Nakagawa
2012 A* conf
Healing Truncation Bias: Self-Weighted Truncation Framework for Dual Averaging.
ICDM
Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa
2012 B conf
Mining Words in the Minds of Second Language Learners: Learner-Specific Word Difficulty.
COLING
Yo Ehara, Issei Sato, Hidekazu Oiwa, Hiroshi Nakagawa
2011 — conf
Frequency-Aware Truncated Methods for Sparse Online Learning.
ECML/PKDD (2)
Hidekazu Oiwa, Shin Matsushima, Hiroshi Nakagawa