Publications (19)
Distributionally Robust Airport Ground Holding Problem under Wasserstein Ambiguity Sets
Haochen Wu, Alexander S. Estes, Max Z. Li
Ground Delay Programs (GDPs) mitigate demand-capacity imbalances by holding flights on the ground when an airport's arrival capacity is reduced, thereby reducing costly airborne ho…
Two-timescale Beamforming Optimization for Downlink Multi-user Holographic MIMO Surfaces
Haochen Wu, Yuanbin Chen, Yang Ming +1
Benefiting from the rapid development of metamaterials and metasurfaces, the holographic multiple-input and multiple-output surface (HMIMOS) has been regarded as a promising soluti…
Hierarchically Block-Sparse Recovery With Prior Support Information
Liyang Lu, Haochen Wu, Wenbo Xu +2
We provide new recovery bounds for hierarchical compressed sensing (HCS) based on prior support information (PSI). A detailed PSI-enabled reconstruction model is formulated using v…
Multi-Agent Reinforcement Learning from Delayed Marketplace Feedback for Objective-Weight Adaptation in Three-Sided Dispatch
Haochen Wu, Yi Hou, Shiguang Xie
Dispatch in three-sided marketplaces provides a natural setting for reinforcement learning from world feedback: decisions are evaluated by delayed operational outcomes such as deli…
Integrated Prediction and Distributionally Robust Optimization for Air Traffic Management
Haochen Wu, Xinting Zhu, Lishuai Li +1
Strategic Traffic Management Initiatives (TMIs) such as Ground Delay Programs (GDPs) play a crucial role in mitigating operational costs associated with air traffic demand-capacity…
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
Mengqi Lei, Haochen Wu, Xinhua Lv +1
Medical image segmentation plays an important role in clinical decision making, treatment planning, and disease tracking. However, it still faces two major challenges. On the one h…
Correlated structural evolution within multiplex networks
Haochen Wu, Ryan G. James, James P. Crutchfield +1
Many natural, engineered, and social systems can be represented using the framework of a layered network, where each layer captures a different type of interaction between the same…
An orthogonal perspective on Gauss composition
John Voight, Haochen Wu
We revisit Gauss composition over a general base scheme, with a focus on orthogonal groups. We show that the Clifford and norm functors provide an equivalence of stacks between bin…
Near-Field Channel Estimation in Dual-Band XL-MIMO with Side Information-Assisted Compressed Sensing
Haochen Wu, Liyang Lu, Zhaocheng Wang
Near-field communication comes to be an indispensable part of the future sixth generation (6G) communications at the arrival of the forth-coming deployment of extremely large-scale…
Spaceport Facility Location Planning within the US National Airspace System
Haochen Wu, Kevin R. Sun, Jackson A. Miller +2
The burgeoning commercial space transportation industry necessitates an expansion of launch infrastructure to meet rising demands. However, future operations from these large-scale…
Multiagent Inverse Reinforcement Learning via Theory of Mind Reasoning
Haochen Wu, Pedro Sequeira, David V. Pynadath
We approach the problem of understanding how people interact with each other in collaborative settings, especially when individuals know little about their teammates, via Multiagen…
Optimization-Guided Exploration of Advanced Air Mobility Congestion Management Strategies with Stochastic Demands
Haochen Wu, Lesley A. Weitz, Jeffrey M. Henderson +1
Advanced Air Mobility (AAM) represents an evolution of the air transportation system by introducing low-altitude, potentially high-traffic environments. AAM operations will be enab…
Task Allocation with Load Management in Multi-Agent Teams
Haochen Wu, Amin Ghadami, Alparslan Emrah Bayrak +2
In operations of multi-agent teams ranging from homogeneous robot swarms to heterogeneous human-autonomy teams, unexpected events might occur. While efficiency of operation for mul…
Operator learning on domain boundary through combining fundamental solution-based artificial data and boundary integral techniques
Haochen Wu, Heng Wu, Benzhuo Lu
For linear partial differential equations with known fundamental solutions, this work introduces a novel operator learning framework that relies exclusively on domain boundary data…
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
Haochen Wu, Shubham Sharma, Sunandita Patra +1
With the growing use of machine learning (ML) models in critical domains such as finance and healthcare, the need to offer recourse for those adversely affected by the decisions of…
New Paradigm for Unified Near-Field and Far-Field Wireless Communications
Zhaocheng Wang, Haochen Wu, Yuanbin Chen +1
Current Type I and Type II codebooks in fifth generation (5G) wireless communications are limited in supporting the coexistence of far-field and near-field user equipments, as they…
Accelerated RRT* By Local Directional Visibility
Chenxi Feng, Haochen Wu
RRT* is an efficient sampling-based motion planning algorithm. However, without taking advantages of accessible environment information, sampling-based algorithms usually result in…
USTC-KXDIGIT System Description for ASVspoof5 Challenge
Yihao Chen, Haochen Wu, Nan Jiang +13
This paper describes the USTC-KXDIGIT system submitted to the ASVspoof5 Challenge for Track 1 (speech deepfake detection) and Track 2 (spoofing-robust automatic speaker verificatio…
Distributionally Robust Ground Delay Programs with Learning-Driven Airport Capacity Predictions
Haochen Wu, Xinting Zhu, Shuchang Li +3
Strategic Traffic Management Initiatives (TMIs) such as Ground Delay Programs (GDPs) play a crucial role in mitigating operational costs associated with demand-capacity imbalances.…