papers

Publications (10)

cs.NI2024

Power-Domain Interference Graph Estimation for Full-Duplex Millimeter-Wave Backhauling

Haorui Li, Daqian Ding, Yibo Pi +1

Traditional wisdom for network resource management allocates separate frequency-time resources for measurement and data transmission tasks. As a result, the two types of tasks have…

cs.RO2026

Object Manipulation of the Variable Topology Truss system

Andrew Jang-Ho Bae, Myeongjin Choi, Haorui Li +2

This paper presents an object manipulation strategy for the Variable Topology Truss (VTT) system, a truss robot that comprises actuated truss members connected by passive spherical…

cs.LG2026

AIConfigurator: Lightning-Fast Configuration Optimization for Multi-Framework LLM Serving

Tianhao Xu, Yiming Liu, Xianglong Lu +18

Optimizing Large Language Model (LLM) inference in production systems is increasingly difficult due to dynamic workloads, stringent latency/throughput targets, and a rapidly expand…

cs.RO2025

Exploring environment exploitation for self-reconfiguration in modular robotics

Philippe Martin Wyder, Haorui Li, Andrew Bae +2

Modular robotics research has long been preoccupied with perfecting the modules themselves -- their actuation methods, connectors, controls, communication, and fabrication. This in…

cs.NI2025

Interference Graph Estimation for Resource Allocation in Multi-Cell Multi-Numerology Networks: A Power-Domain Approach

Daqian Ding, Haorui Li, Yibo Pi +1

The interference graph, depicting the intra- and inter-cell interference channel gains, is indispensable for resource allocation in multi-cell networks.However, there lacks viable…

cs.LG2025

InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames

Haorui Li, Weitao Du, Yuqiang Li +2

Transformer-based autoregressive models have emerged as a unifying paradigm across modalities such as text and images, but their extension to 3D molecule generation remains underex…

cs.LG2023

Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning

Haorui Li, Jiaqi Liang, Linjing Li +1

Hierarchical reinforcement learning composites subpolicies in different hierarchies to accomplish complex tasks.Automated subpolicies discovery, which does not depend on domain kno…

cs.PF2026

When Is the Same Model Not the Same Service? A Measurement Study of Hosted Open-Weight LLM APIs

Haorui Li, Zhenghui He, Xuanzi Liu +7

Open-weight large language models (LLMs) are usually named as model artifacts, but production users often consume them as hosted API services. This paper argues that the operationa…

cs.CV2026

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion

Yonghao Yu, Shunan Zhu, Huai Qin +1

Witnessing the evolution of text-to-image diffusion models, significant strides have been made in text-to-3D generation. Currently, two primary paradigms dominate the field of text…

cs.NI2026

Efficient Interference Graph Estimation via Concurrent Flooding

Haifeng Jia, Yichen Wei, Zhan Wang +3

Traditional wisdom for network management allocates network resources separately for the measurement and data transmission tasks. Heavy measurement tasks may take up resources for…