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Long Ji Lin

dblp:69/6379 · DBLP profile ↗
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8ranked-venue papers
5as first author
0since 2021 · last 1995
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 8 · 5 first-authorGraphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
6 papers
Reinforcement learning · 36% Motion planning and robot control · 21% Speech recognition and synthesis · 16%
Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 11 heaviest of 13, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Reinforcement learning › markov decision process
non-markov decision process
0.011995
Reinforcement Learning of Non-Markov Decision Processes · Artif. Intell. 1995
Natural language and speech › Language models and text generation
chinese language processing
0.021990
A Mandarin Dictation Machine Based Upon a Hierarchical Recognition Approach and Chinese Natural Language Analysis · IEEE Trans. Pattern Anal. Mach. Intell. 1990
A Chinese Natural Language Processing System Based Upon the Theory of Empty Categories · AAAI 1986
Robotics › Motion planning and robot control
robot control
0.011993
Scaling Up Reinforcement Learning for Robot Control · ICML 1993
Machine learning › Reinforcement learning › deep reinforcement learning
scaling laws for reinforcement learning
0.011993
Scaling Up Reinforcement Learning for Robot Control · ICML 1993
Robotics › Robot manipulation
learning from demonstration
0.011991
Programming Robots Using Reinforcement Learning and Teaching · AAAI 1991
Robotics › Motion planning and robot control
robot learning
0.011991
Programming Robots Using Reinforcement Learning and Teaching · AAAI 1991
Natural language and speech › Speech recognition and synthesis
automatic speech recognition
0.011990
A Mandarin Dictation Machine Based Upon a Hierarchical Recognition Approach and Chinese Natural Language Analysis · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Natural language and speech › Speech recognition and synthesis › automatic speech recognition
mandarin speech recognition
0.011990
A Mandarin Dictation Machine Based Upon a Hierarchical Recognition Approach and Chinese Natural Language Analysis · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Human-robot interaction › educational robotics
robot teaching
0.011991
Programming Robots Using Reinforcement Learning and Teaching · AAAI 1991
Natural language and speech › Language models and text generation
language modeling
0.011990
A Mandarin Dictation Machine Based Upon a Hierarchical Recognition Approach and Chinese Natural Language Analysis · IEEE Trans. Pattern Anal. Mach. Intell. 1990
Knowledge, reasoning and agents › Knowledge representation and reasoning
linguistic theory
0.011986
A Chinese Natural Language Processing System Based Upon the Theory of Empty Categories · AAAI 1986

Methods — techniques the papers use, named apart from their topics

reinforcement learning · 0.0teaching · 0.0syntactic parsing · 0.0speech signal processing · 0.0hierarchical recognition · 0.0empty category theory · 0.0
YearPublicationVenuePosition
1995 Reinforcement Learning of Non-Markov Decision Processes
Steven D. Whitehead, Long Ji Lin
Artif. Intell.2
1993 Scaling Up Reinforcement Learning for Robot Control
Long Ji Lin
ICML1
1992 Self-Improving Reactive Agents Based On Reinforcement Learning, Planning and Teaching
Long Ji Lin
Mach. Learn.1
1991 Programming Robots Using Reinforcement Learning and Teaching
Long Ji Lin
AAAI1
1991 Self-improvement Based on Reinforcement Learning, Planning and Teaching
Long Ji Lin
ML1
1991 An Efficient Natural Language Processing System Specially Designed for the Chinese Language
Lin-Shan Lee, Lee-Feng Chien, Long Ji Lin, Keh-Jiann Chen
Comput. Linguistics3
1990 A Mandarin Dictation Machine Based Upon a Hierarchical Recognition Approach and Chinese Natural Language Analysis
abstract
An experimental Mandarin dictation machine for inputting Mandarin speech (spoken Chinese language) into computers is described. Because of the special characteristics of the Chinese language, syllables are chosen as the basic units for dictation. The machine is designed based on a hierarchical language recognition approach in which acoustic signals are first recognized as a sequence of syllables, possible word hypotheses are then formed from the syllables, and the complete sentences are finally obtained. This approach is implemented by two subsystems. The first recognizes the syllables using speech signal processing techniques, the second subsystem then identifies the exact characters from the syllable and corrects the errors in syllable recognition. The detailed syllable recognition algorithms, word formation rules, parser, grammar, and the syntactic checking algorithms are described. With newspaper text in the form of isolated syllables as input, the preliminary test results indicate that such a dictation machine is not only practically attractive, but technically feasible.>
Lin-Shan Lee, Chiu-yu Tseng, Keh-Jiann Chen, Chia-Hwa Hwang, Pei-Yih Ting, Long Ji Lin
IEEE Trans. Pattern Anal. Mach. Intell.7
1986 A Chinese Natural Language Processing System Based Upon the Theory of Empty Categories
Long Ji Lin, Lin-Shan Lee, Keh-Jiann Chen
AAAI1