74 citations · 189 across the 26 of their papers we have counts for
26 papers
ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models
Zhenhua Xu, Haobo Zhang, Zhebo Wang +4
Existing invasive (backdoor) fingerprints suffer from high-perplexity triggers that are easily filtered, fixed response patterns exposed by heuristic detectors, and spurious activa…
The FM Agent
Annan Li, Chufan Wu, Zengle Ge +19
Large language models (LLMs) are catalyzing the development of autonomous AI research agents for scientific and engineering discovery. We present FM Agent, a novel and general-purp…
Towards a Statistical Understanding of Neural Networks: Beyond the Neural Tangent Kernel Theories
Yicheng Li, Haobo Zhang, Jianfa Lai +2
A primary advantage of neural networks lies in their feature learning characteristics, which is challenging to theoretically analyze due to the complexity of their training dynamic…
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Hao-kai Zhang, Chenghong Zhu, Mingrui Jing +1
Quantum neural networks (QNNs) have been a promising framework in pursuing near-term quantum advantage in various fields, where many applications can be viewed as learning a quantu…
On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay
Yicheng Li, Haobo Zhang, Qian Lin
The widely observed 'benign overfitting phenomenon' in the neural network literature raises the challenge to the 'bias-variance trade-off' doctrine in the statistical learning theo…
Optimal Rate of Kernel Regression in Large Dimensions
Weihao Lu, Haobo Zhang, Yicheng Li +2
We perform a study on kernel regression for large-dimensional data (where the sample size is polynomially depending on the dimension of the samples, i.e., for…
Evaluating the Robustness of Text-to-image Diffusion Models against Real-world Attacks
Hongcheng Gao, Hao Zhang, Yinpeng Dong +1
Text-to-image (T2I) diffusion models (DMs) have shown promise in generating high-quality images from textual descriptions. The real-world applications of these models require parti…
Probing Ring Resonator Sensor Based on Vernier Effect
Wenwen Zhang, Hao Zhang
The Vernier effect has seen extensive application in optical structures, serving to augment the free spectral range (FSR). A substantial FSR is vital in a myriad of applications in…
Efficient Detection of LLM-generated Texts with a Bayesian Surrogate Model
Yibo Miao, Hongcheng Gao, Hao Zhang +1
The detection of machine-generated text, especially from large language models (LLMs), is crucial in preventing serious social problems resulting from their misuse. Some methods tr…
Renormalized Classical Theory of Quantum Magnets
David Dahlbom, Hao Zhang, Zoha Laraib +3
We derive a renormalized classical spin (RCS) theory for quantum magnets by constraining a generalized classical theory that includes all multipolar fluctuations to a red…
On the Optimality of Misspecified Spectral Algorithms
Haobo Zhang, Yicheng Li, Qian Lin
In the misspecified spectral algorithms problem, researchers usually assume the underground true function , a less-smooth interpolation space of a re…
RCA: Region Conditioned Adaptation for Visual Abductive Reasoning
Hao Zhang, Yeo Keat Ee, Basura Fernando
Visual abductive reasoning aims to make likely explanations for visual observations. We propose a simple yet effective Region Conditioned Adaptation, a hybrid parameter-efficient f…
The origin of power-law spectra in relativistic magnetic reconnection
Hao Zhang, Lorenzo Sironi, Dimitrios Giannios +1
Magnetic reconnection is often invoked as a source of high-energy particles, and in relativistic astrophysical systems it is regarded as a prime candidate for powering fast and bri…
Charge and Energy Transfer Dynamics of Hybridized Exciton-Polaritons in 2D Halide Perovskites
Surendra B. Anantharaman, Jason Lynch, Christopher E. Stevens +14
Excitons, bound electron-hole pairs, in Two-Dimensional Hybrid Organic Inorganic Perovskites (2D HOIPs) are capable of forming hybrid light-matter states known as exciton-polariton…
A long-period pre-ELM system discovered from LAMOST medium-resolution survey
Zhi-Xiang Zhang, Ling-Lin Zheng, Wei-Min Gu +16
We present LAMOST~J041920.07+072545.4 (hereafter J0419), a close binary consisting of a bloated extremely low mass pre-white dwarf (pre-ELM WD) and a compact object with an orbital…
Variational quantum circuit learning of entanglement purification in multiple degrees of freedom
Hao Zhang, Xusheng Xu, Chen Zhang +3
Entanglement purification is a crucial technique for promising the effective entanglement channel in noisy large-scale quantum networks, yet complicated in designing protocols in m…
Connection-oriented and Connectionless Quantum Internet Considering Quantum Repeaters
Hao Zhang, Yuan Li, Chen Zhang +1
With the rapid development of quantum information and technology in recent years, the construction of quantum internet for interconnecting all kinds of quantum devices, such as qua…
Coupling Perovskite Quantum Dot Pairs in Solution using Nanoplasmonic Assembly
Hao Zhang, Parinaz Moazzezi, Juanjuan Ren +8
Perovskite quantum dots (PQDs) provide a robust solution-based approach to efficient solar cells, bright light-emitting devices, and quantum sources of light. Quantifying heterogen…
Data-and-Knowledge Dual-Driven Automatic Modulation Recognition for Wireless Communication Networks
Rui Ding, Hao Zhang, Fuhui Zhou +2
Automatic modulation classification is of crucial importance in wireless communication networks. Deep learning based automatic modulation classification schemes have attracted exte…
Active Domain Adaptation with Multi-level Contrastive Units for Semantic Segmentation
Hao Zhang, Ruimao Zhang, Zhanglin Peng +2
To further reduce the cost of semi-supervised domain adaptation (SSDA) labeling, a more effective way is to use active learning (AL) to annotate a selected subset with specific pro…
Adaptive Split-Fusion Transformer
Zixuan Su, Hao Zhang, Jingjing Chen +3
Neural networks for visual content understanding have recently evolved from convolutional ones (CNNs) to transformers. The prior (CNN) relies on small-windowed kernels to capture t…
Inverse Compton Signatures of Gamma-Ray Burst Afterglows
Hao Zhang, Ian Christie, Maria Petropoulou +2
The afterglow emission from gamma-ray bursts (GRBs) is believed to originate from a relativistic blast wave driven into the circumburst medium. Although the afterglow emission from…
Fast and robust quantum control for multimode interactions by using shortcuts to adiabaticity
Hao Zhang, Xue-Ke Song, Qing Ai +3
Adiabatic quantum control is a very important approach for quantum physics and quantum information processing. It holds the advantage with robustness to experimental imperfections…
Entanglement concentration and purification of two-mode squeezed microwave photons in circuit QED
Hao Zhang, Ahmed Alsaedi, Tasawar Hayat +1
We present a theoretical proposal for a physical implementation of entanglement concentration and purification protocols for two-mode squeezed microwave photons in circuit quantum…