7 citations · 17 across the 10 of their papers we have counts for
10 papers
Functionality Locality, Mixture & Control = Logic = Memory
Xiangjun Peng
This work provides new insights and constructs to the field of computer architecture and systems, and these insights are expected to be useful for the broad software stack. First,…
Value, Representation, Information and Communication
Xiangjun Peng
A new analytic framework is first formalized via the usage of the Monadology (Leibniz 1898), to expand the understanding of Zermelo-Fraenkel-choice set theory (ZFC) and Von Neumann…
Feint Behaviors and Strategies: Formalization, Implementation and Evaluation
Junyu Liu, Xiangjun Peng
Feint behaviors refer to a set of deceptive behaviors in a nuanced manner, which enable players to obtain temporal and spatial advantages over opponents in competitive games. Such…
Formalizing Feint Actions, and Example Studies in Two-Player Games
Junyu Liu, Wangkai Jin, Xiangjun Peng
Feint actions refer to a set of deceptive actions, which enable players to obtain temporal advantages from their opponents. Such actions are regarded as widely-used tactic in most…
Reversed Indexes Values in Wavelet Trees
Xiangjun Peng
This work presents a discovery to advance the wisdom in a particular Succinct Data Structure: Wavelet Tree (Grossi, Gupta, and Vitter 2003). The discovery is first made by showing…
HUT: Enabling High-UTility, Batched Queries under Differential Privacy Protection for Internet-of-Vehicles
Junyu Liu, Wangkai Jin, Zhenyong He +4
The emerging trends of Internet-of-Vehicles (IoV) demand centralized servers to collect/process sensitive data with limited computational resources on a single vehicle. Such centra…
Characterizing Differentially-Private Techniques in the Era of Internet-of-Vehicles
Yicun Duan, Junyu Liu, Wangkai Jin +1
Recent developments of advanced Human-Vehicle Interactions rely on the concept Internet-of-Vehicles (IoV), to achieve large-scale communications and synchronizations of data in pra…
BROOK Dataset: A Playground for Exploiting Data-Driven Techniques in Human-Vehicle Interactive Designs
Wangkai Jin, Yicun Duan, Junyu Liu +3
Emerging Autonomous Vehicles (AV) breed great potentials to exploit data-driven techniques for adaptive and personalized Human-Vehicle Interactions. However, the lack of high-quali…
FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching
Yaohua Wang, Lois Orosa, Xiangjun Peng +8
DRAM Main memory is a performance bottleneck for many applications due to the high access latency. In-DRAM caches work to mitigate this latency by augmenting regular-latency DRAM w…
Building BROOK: A Multi-modal and Facial Video Database for Human-Vehicle Interaction Research
Xiangjun Peng, Zhentao Huang, Xu Sun
With the growing popularity of Autonomous Vehicles, more opportunities have bloomed in the context of Human-Vehicle Interactions. However, the lack of comprehensive and concrete da…