252 citations · 3.3k across the 92 of their papers we have counts for
96 papers
DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
Licheng Wen, Daocheng Fu, Xin Li +7
Recent advancements in autonomous driving have relied on data-driven approaches, which are widely adopted but face challenges including dataset bias, overfitting, and uninterpretab…
Different phase leads to different transport behavior in PbCu(PO)O compounds
Ran Liu, Ting Guo, Jiajun Lu +2
The recent claimed room-temperature superconductivity in Cu-doped lead apatite at ambient pressure are under highly debate. To identify its physical origin, we studied the crystal…
Sharpness Minimization Algorithms Do Not Only Minimize Sharpness To Achieve Better Generalization
Kaiyue Wen, Zhiyuan Li, Tengyu Ma
Despite extensive studies, the underlying reason as to why overparameterized neural networks can generalize remains elusive. Existing theory shows that common stochastic optimizers…
Doping driven metal-insulator transition in disordered graphene
Kaiyi Guo, Ying Liang, Tianxing Ma
Controlling the metal-insulator transition in graphene-based material is a crucial topic as it directly impacts its potential applications. Inspired by recent experiments, we study…
Strong ferromagnetic fluctuations in a doped checkerboard lattice
Yue Pan, Runyu Ma, Tianxing Ma
Using the determinant quantum Monte Carlo method, we study the magnetic susceptibility in the parameter space of the on-site interaction , temperature , electron filling $\av…
Evolution of magnetic correlation in an inhomogeneous square lattice
Xiao Zhang, Runyu Ma, Zenghui Fan +3
We explore the magnetic properties of a two-dimensional Hubbard model on an inhomogeneous square lattice, which provides a platform for tuning the bandwidth of the flat band. In it…
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Arvind Mahankali, Jeff Z. Haochen, Kefan Dong +2
Despite recent theoretical progress on the non-convex optimization of two-layer neural networks, it is still an open question whether gradient descent on neural networks without un…
DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds
Tao Ma, Xuemeng Yang, Hongbin Zhou +9
Existing offboard 3D detectors always follow a modular pipeline design to take advantage of unlimited sequential point clouds. We have found that the full potential of offboard 3D…
Study of Boson Stars with Wormhole
Peng-Bo Ding, Tian-Xiang Ma, Yong-Qiang Wang
In this paper, we reconsider the mixed system of BSs with wormholes at their center which performed by complex scalar field and phantom field and study a whole new condition about…
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
Tong Ye, Lingfei Wu, Tengfei Ma +5
Automatically generating human-readable text describing the functionality of a program is the intent of source code summarization. Although neural language models achieve significa…
Zigzag edge ferromagnetism of triangular-graphene-quantum-dot-like system
Runze Han, Jiazhou Chen, Mengyue Zhang +4
Here, the magnetic susceptibility of a triangular-graphene-quantum-dot-like system was examined by using the determinant quantum Monte Carlo method. We focused on three zigzag edge…
Hybrid Proca-boson stars
Tian-Xiang Ma, Chen Liang, Jie Yang +1
In this paper, we construct a hybrid boson star model that contains a complex scalar field and a Proca field. The scalar field is in the ground state, while the Proca field is in t…
Charge Stripe Manipulation of Superconducting Pairing Symmetry Transition
Chao Chen, Peigeng Zhong, Xuelei Sui +6
Charge stripes have been widely observed in many different types of unconventional superconductors, holding varying periods () and intensities. However, a general unde…
First-principles study on the superconductivity of N-doped fcc-LuH3
Zihao Huo, Defang Duan, Tiancheng Ma +5
Recently, room-temperature superconductor has been claimed in a nitrogen-doped lutetium hydride at near-ambient pressure [Nature 615, 244 (2023)]. Using X-ray diffraction (XRD) and…
LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion
Xin Li, Tao Ma, Yuenan Hou +8
LiDAR-camera fusion methods have shown impressive performance in 3D object detection. Recent advanced multi-modal methods mainly perform global fusion, where image features and poi…
First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
Kefan Dong, Tengyu Ma
Real-world machine learning applications often involve deploying neural networks to domains that are not seen in the training time. Hence, we need to understand the extrapolation o…
The competition between antiferromagnetism and superconductivity in a doped Hubbard model with anisotropic interaction
Runyu Ma, Tianxing Ma
The competition between antiferromagnetism and superconductivity is one of the central questions in the research of strong correlated systems. In this work, we utilize a double lay…
An intermediate phase induced by dilution in a correlated Dirac Fermi system
Lingyu Tian, Jingyao Meng, Tianxing Ma
Substituting magnetic ions with nonmagnetic ions is a new way to study dilution. Using determinant quantum Monte Carlo calculations, we investigate an interacting Dirac fermion mod…
Theoretic Guide for Using Photonic Glasses as Colored Covers for Solar Energy Harvesting
Zhenpeng Li, Sinan Li, Tao Ma
The increasing demand for renewable energy is promoting technologies that integrate solar energy harvesting materials with the human living environment, such as building-integrated…
Pavementscapes: a large-scale hierarchical image dataset for asphalt pavement damage segmentation
Zheng Tong, Tao Ma, Ju Huyan +1
Pavement damage segmentation has benefited enormously from deep learning. % and large-scale datasets. However, few current public datasets limit the potential exploration of deep l…
Max-Margin Works while Large Margin Fails: Generalization without Uniform Convergence
Margalit Glasgow, Colin Wei, Mary Wootters +1
A major challenge in modern machine learning is theoretically understanding the generalization properties of overparameterized models. Many existing tools rely on uniform convergen…
Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
Kefan Dong, Tengyu Ma
Past research on interactive decision making problems (bandits, reinforcement learning, etc.) mostly focuses on the minimax regret that measures the algorithm's performance on the…
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
Guohang Yan, Liu Zhuochun, Chengjie Wang +10
Accurate sensor calibration is a prerequisite for multi-sensor perception and localization systems for autonomous vehicles. The intrinsic parameter calibration of the sensor is to…
Near-Optimal Algorithms for Autonomous Exploration and Multi-Goal Stochastic Shortest Path
Haoyuan Cai, Tengyu Ma, Simon Du
We revisit the incremental autonomous exploration problem proposed by Lim & Auer (2012). In this setting, the agent aims to learn a set of near-optimal goal-conditioned policies to…