17 citations · 44 across the 15 of their papers we have counts for
17 papers
Fault Separation Based on An Excitation Operator with Application to a Quadrotor UAV
Sicheng Zhou, Meng Wang, Jindou Jia +4
This paper presents an excitation operator based fault separation architecture for a quadrotor unmanned aerial vehicle (UAV) subject to loss of effectiveness (LoE) faults, actuator…
A decomposition-homogenization method for Robin boundary problems on the nonnegative orthant
Lijun Bo, Yijie Huang, Xiang Yu
This paper studies the existence and uniqueness of a classical solution to a type of Robin boundary problems on the nonnegative orthant. We propose a new decomposition-homogenizati…
Selective Structured State-Spaces for Long-Form Video Understanding
Jue Wang, Wentao Zhu, Pichao Wang +4
Effective modeling of complex spatiotemporal dependencies in long-form videos remains an open problem. The recently proposed Structured State-Space Sequence (S4) model with its lin…
A one-dimensional model for axisymmetric deformations of an inflated hyperelastic tube of finite wall thickness
Xiang Yu, Yibin Fu
We derive a one-dimensional (1d) model for the analysis of bulging or necking in an inflated hyperelastic tube of {\it finite wall thickness} from the three-dimensional finite elas…
A mean field game approach to equilibrium consumption under external habit formation
Lijun Bo, Shihua Wang, Xiang Yu
This paper studies the equilibrium consumption under external habit formation in a large population of agents. We first formulate problems under two types of conventional habit for…
Optimal consumption and life insurance under shortfall aversion and a drawdown constraint
Xun Li, Xiang Yu, Qinyi Zhang
This paper studies a life-cycle optimal portfolio-consumption problem when the consumption performance is measured by a shortfall aversion preference with an additional drawdown co…
Single-Stream Multi-Level Alignment for Vision-Language Pretraining
Zaid Khan, Vijay Kumar BG, Xiang Yu +3
Self-supervised vision-language pretraining from pure images and text with a contrastive loss is effective, but ignores fine-grained alignment due to a dual-stream architecture tha…
Mean Field Game of Optimal Relative Investment with Jump Risk
Lijun Bo, Shihua Wang, Xiang Yu
This paper studies the n-player game and the mean field game under the CRRA relative performance on terminal wealth, in which the interaction occurs by peer competition. In the mod…
Teamwise Mean Field Competitions
Xiang Yu, Yuchong Zhang, Zhou Zhou
This paper studies competitions with rank-based reward among a large number of teams. Within each sizable team, we consider a mean-field contribution game in which each team member…
Optimal Tracking Portfolio with A Ratcheting Capital Benchmark
Lijun Bo, Huafu Liao, Xiang Yu
This paper studies the finite horizon portfolio management by optimally tracking a ratcheting capital benchmark process. It is assumed that the fund manager can dynamically inject…
Optimal Consumption with Reference to Past Spending Maximum
Shuoqing Deng, Xun Li, Huyen Pham +1
This paper studies the infinite-horizon optimal consumption with a path-dependent reference under exponential utility. The performance is measured by the difference between the non…
On sums of coefficients of Borwein type polynomials over arithmetic progressions
Jiyou Li, Xiang Yu
We obtain asymptotic formulas for sums over arithmetic progressions of coefficients of polynomials of the form where is an odd…
On Periodic orbits of the Planar N-body Problem
Xiang Yu
By introducing a new coordinate system, we prove that there are abundant new periodic orbits near relative equilibrium solutions of the N-body problem. We consider only Lagrange re…
Optimal Entry and Consumption under Habit Formation
Yue Yang, Xiang Yu
This paper studies a composite problem involving the decision making of the optimal entry time and dynamic consumption afterwards. In stage-1, the investor has access to full marke…
Comparing Attention-based Convolutional and Recurrent Neural Networks: Success and Limitations in Machine Reading Comprehension
Matthias Blohm, Glorianna Jagfeld, Ekta Sood +2
We propose a machine reading comprehension model based on the compare-aggregate framework with two-staged attention that achieves state-of-the-art results on the MovieQA question a…
A General-Purpose Tagger with Convolutional Neural Networks
Xiang Yu, Agnieszka Faleńska, Ngoc Thang Vu
We present a general-purpose tagger based on convolutional neural networks (CNN), used for both composing word vectors and encoding context information. The CNN tagger is robust ac…
Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
Xiang Yu, Ngoc Thang Vu
We present a transition-based dependency parser that uses a convolutional neural network to compose word representations from characters. The character composition model shows grea…