activity
20212026
most citedPath sampling of recurrent neural networks by incorporating known physics

36 citations · 156 across the 25 of their papers we have counts for

collaborators

27 papers

quant-ph2026

Theory of spacetime quantum fault tolerance

Yijia Xu, Yixu Wang, Zi-Wen Liu

We present a unified algebraic theory of Clifford spacetime quantum fault tolerance, which underpins universal fault-tolerant quantum computation. We construct a spacetime chain co…

quant-ph2026

Coherent error threshold for quantum LDPC codes

Zhengyi Han, Yuanchen Zhao, Yijia Xu +2

A key appeal of quantum low-density parity check (qLDPC) codes is their ability to suppress stochastic Pauli noise below nonzero thresholds. Coherent errors are fundamentally diffe…

cs.CV2026

LCG: Long-Context Consistent Image Generation with Sparse Relational Attention

Zihao Wang, Yijia Xu, Haoze Zheng +3

Recent image generation models achieve impressive quality in single-image synthesis, but often fail to maintain consistency across sequential outputs, as required in comics, storyb…

cs.CR2026

MalSkillBench: A Runtime-Verified Benchmark of Malicious Agent Skills

Wenbo Guo, Wei Zeng, Chengwei Liu +5

AI coding agents such as Claude Code and Gemini CLI increasingly extend themselves with third-party skills: markdown packages bundling natural-language instructions, executable scr…

quant-ph2026

Approximate quantum error correction theory of non-isometric codes

Yixu Wang, Yijia Xu, Zi-Wen Liu

Non-isometric encoding arises in various important contexts in quantum error correction, most notably in the finite-energy, non-ideal codewords inevitable in experimental realizati…

quant-ph2026

Bosonic Cyclic Codes: Trading Stabilizers for Gaussian Non-Clifford Phase Gates

Owen C. Wetherbee, Yijia Xu, Victor V. Albert +2

Bosonic codes offer hardware-efficient approaches to quantum error correction, with the best encodings offering effective protection of idle quantum information against loss and de…

quant-ph2026

A framework for low-overhead quantum fault tolerance via spacetime lifting

Yijia Xu, Yixu Wang, Zi-Wen Liu

Fault-tolerant quantum computation is inherently a spacetime problem, requiring not merely good static quantum error-correcting codes but also low-overhead protocols for protecting…

cs.SE2026

How Effective Are NPM Malicious Package Detectors? A Large-Scale Empirical Study

Wenbo Guo, Zhongwen Chen, Zhengzi Xu +7

The NPM ecosystem faces escalating threats from malicious packages that exploit its open publication model. While numerous detection tools have been proposed, they are evaluated on…

cs.CV2026

Hierarchical Concept-to-Appearance Guidance for Multi-Subject Image Generation

Yijia Xu, Zihao Wang, Haokun Gui +1

Multi-subject image generation aims to synthesize images that faithfully preserve the identities of multiple reference subjects while following textual instructions. However, exist…

cs.CV2026

An Efficient Additive Kolmogorov-Arnold Transformer for Point-Level Maize Localization in Unmanned Aerial Vehicle Imagery

Fei Li, Lang Qiao, Jiahao Fan +3

High-resolution UAV photogrammetry has become a key technology for precision agriculture, enabling centimeter-level crop monitoring and point-level plant localization. However, poi…

cs.AI2025

The Agent Behavior: Model, Governance and Challenges in the AI Digital Age

Qiang Zhang, Pei Yan, Yijia Xu +3

Advancements in AI have led to agents in networked environments increasingly mirroring human behavior, thereby blurring the boundary between artificial and human actors in specific…

cs.CV2025

Direction-Aware Diagonal Autoregressive Image Generation

Yijia Xu, Jianzhong Ju, Jian Luan +1

The raster-ordered image token sequence exhibits a significant Euclidean distance between index-adjacent tokens at line breaks, making it unsuitable for autoregressive generation.…

cs.AI2025

A Vision for Auto Research with LLM Agents

Chengwei Liu, Chong Wang, Jiayue Cao +16

This paper introduces Agent-Based Auto Research, a structured multi-agent framework designed to automate, coordinate, and optimize the full lifecycle of scientific research. Levera…

cs.LG2025

Knowledge-guided machine learning for county-level corn yield prediction under drought

Xiaoyu Wang, Yijia Xu, Jingyi Huang +4

Remote sensing (RS) technique, enabling the non-contact acquisition of extensive ground observations, is a valuable tool for crop yield predictions. Traditional process-based model…

cs.CR2024

SpearBot: Leveraging Large Language Models in a Generative-Critique Framework for Spear-Phishing Email Generation

Qinglin Qi, Yun Luo, Yijia Xu +2

Large Language Models (LLMs) are increasingly capable, aiding in tasks such as content generation, yet they also pose risks, particularly in generating harmful spear-phishing email…

quant-ph2024★ 5 cited

Letting the tiger out of its cage: bosonic coding without concatenation

Yijia Xu, Yixu Wang, Christophe Vuillot +1

Continuous-variable cat codes are encodings into a single photonic or phononic mode that offer a promising avenue for hardware-efficient fault-tolerant quantum computation. Protect…

quant-ph2024★ 1 cited

Tessellation codes: encoded quantum gates by geometric rotation

Yixu Wang, Yijia Xu, Zi-Wen Liu

We utilize the symmetry groups of regular tessellations on two-dimensional surfaces of different constant curvatures, including spheres, Euclidean planes and hyperbolic planes, to…

cs.CV2023★ 1 cited

Fine-Grained Extraction of Road Networks via Joint Learning of Connectivity and Segmentation

Yijia Xu, Liqiang Zhang, Wuming Zhang +5

Road network extraction from satellite images is widely applicated in intelligent traffic management and autonomous driving fields. The high-resolution remote sensing images contai…

quant-ph2023★ 11 cited

Extracting topological orders of generalized Pauli stabilizer codes in two dimensions

Zijian Liang, Yijia Xu, Joseph T. Iosue +1

In this paper, we introduce an algorithm for extracting topological data from translation invariant generalized Pauli stabilizer codes in two-dimensional systems, focusing on the a…

cs.CV2023★ 1 cited

Learning county from pixels: corn yield prediction with attention-weighted multiple instance learning

Xiaoyu Wang, Yuchi Ma, Qunying Huang +2

Remote sensing technology has become a promising tool in yield prediction. Most prior work employs satellite imagery for county-level corn yield prediction by spatially aggregating…

quant-ph2023★ 6 cited

Clifford operations and homological codes for rotors and oscillators

Yijia Xu, Yixu Wang, Victor V. Albert

We develop quantum information processing primitives for the planar rotor, the state space of a particle on a circle. By interpreting rotor wavefunctions as periodically identified…

quant-ph2022★ 13 cited

Error-correcting codes for fermionic quantum simulation

Yu-An Chen, Alexey V. Gorshkov, Yijia Xu

Utilizing the framework of lattice gauge theories in the context of Pauli stabilizer codes, we present methodologies for simulating fermions via qubit systems on a t…

quant-ph2022★ 13 cited

Qubit-oscillator concatenated codes: decoding formalism & code comparison

Yijia Xu, Yixu Wang, En-Jui Kuo +1

Concatenating bosonic error-correcting codes with qubit codes can substantially boost the error-correcting power of the original qubit codes. It is not clear how to concatenate opt…

quant-ph2022★ 5 cited

Boson Sampling for Generalized Bosons

En-Jui Kuo, Yijia Xu, Dominik Hangleiter +2

We introduce the notion of "generalized bosons" whose exchange statistics resemble those of bosons, but the local bosonic commutator is replaced by an arbitra…