papers

Publications (63)

cond-mat.mtrl-sci2024

Experimental evidence of crystal-field, Zeeman splitting, and spin-phonon excitations in the quantum supersolid Na2BaCo(PO4)2

Ghulam Hussain, Jianbo Zhang, Man Zhang +5

Drawing inspiration from the recent breakthroughs in the \ce{Na_{2}BaCo(PO_{4})_{2}} quantum magnet, renowned for its spin supersolidity phase and its potential for revolutionary c…

cs.CV2025

VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction

Shiying Li, Xingqun Qi, Bingkun Yang +6

Generating responsive listener head dynamics with nuanced emotions and expressive reactions is crucial for practical dialogue modeling in various virtual avatar animations. Previou…

cs.SE2023

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs

Andrea Arcuri, Man Zhang, Juan Pablo Galeotti

Due to its importance and widespread use in industry, automated testing of REST APIs has attracted major interest from the research community in the last few years. However, most o…

cs.SE2022

Testing RESTful APIs: A Survey

Amid Golmohammadi, Man Zhang, Andrea Arcuri

In industry, RESTful APIs are widely used to build modern Cloud Applications. Testing them is challenging, because not only they rely on network communications, but also they deal…

cs.CV2025

RoleMotion: A Large-Scale Dataset towards Robust Scene-Specific Role-Playing Motion Synthesis with Fine-grained Descriptions

Junran Peng, Yiheng Huang, Silei Shen +8

In this paper, we introduce RoleMotion, a large-scale human motion dataset that encompasses a wealth of role-playing and functional motion data tailored to fit various specific sce…

cs.SE2025

WFC/WFD: Web Fuzzing Commons, Dataset and Guidelines to Support Experimentation in REST API Fuzzing

Omur Sahin, Man Zhang, Andrea Arcuri

Fuzzing REST APIs is an important research problem, with practical applications and impact in industry. As such, a lot of research work has been carried out on this topic in the la…

cs.SE2023

White-box Fuzzing RPC-based APIs with EvoMaster: An Industrial Case Study

Man Zhang, Andrea Arcuri, Yonggang Li +2

Remote Procedure Call (RPC) is a communication protocol to support client-server interactions among services over a network. RPC is widely applied in industry for building large-sc…

cs.CV2024

StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation Framework

Yiheng Huang, Hui Yang, Chuanchen Luo +5

Thanks to the powerful generative capacity of diffusion models, recent years have witnessed rapid progress in human motion generation. Existing diffusion-based methods employ dispa…

cs.SE2026

Enhancing REST API Fuzzing with Access Policy Violation Checks and Injection Attacks

Omur Sahin, Man Zhang, Andrea Arcuri

Due to their widespread use in industry, several techniques have been proposed in the literature to fuzz REST APIs. Existing fuzzers for REST APIs have been focusing on detecting c…

cs.SE2023

Uncertainty-Aware Test Prioritization: Approaches and Empirical Evaluation

Man Zhang, Jiahui Wu, Shaukat Ali +1

Complex software systems, e.g., Cyber-Physical Systems (CPSs), interact with the real world; thus, they often behave unexpectedly in uncertain environments. Testing such systems is…

cs.CV2023

Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud Analysis

Peipei Li, Xing Cui, Yibo Hu +3

Point cloud analysis faces computational system overhead, limiting its application on mobile or edge devices. Directly employing small models may result in a significant drop in pe…

cs.AI2025

Advances in Embodied Navigation Using Large Language Models: A Survey

Jinzhou Lin, Han Gao, Xuxiang Feng +5

In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potentia…

cs.HC2025

AI Delivers Creative Output but Struggles with Thinking Processes

Man Zhang, Ying Li, Yang Peng +5

A key objective in artificial intelligence (AI) development is to create systems that match or surpass human creativity. Although current AI models perform well across diverse crea…

cs.SE2023

DeepQTest: Testing Autonomous Driving Systems with Reinforcement Learning and Real-world Weather Data

Chengjie Lu, Tao Yue, Man Zhang +1

Autonomous driving systems (ADSs) are capable of sensing the environment and making driving decisions autonomously. These systems are safety-critical, and testing them is one of th…

cs.CL2024

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

Zekun Moore Wang, Zhongyuan Peng, Haoran Que +14

The advent of Large Language Models (LLMs) has paved the way for complex tasks such as role-playing, which enhances user interactions by enabling models to imitate various characte…

physics.app-ph2024

One-step architecture of bifunctional petal-like oxygen-deficient NiAl-LDHs nanosheets for high-performance hybrid supercapacitors and urea oxidation

Yuchen Wang, Yaoyu Liu, Man Zhang +3

Nickel-based layered double hydroxides (LDHs) are promising electrode materials in the fields of energy storage (supercapacitors) and conversion (urea oxidation). The rational cons…

cs.CV2026

Everything in Its Place: Benchmarking Spatial Intelligence of Text-to-Image Models

Zengbin Wang, Xuecai Hu, Yong Wang +3

Text-to-image (T2I) models have achieved remarkable success in generating high-fidelity images, but they often fail in handling complex spatial relationships, e.g., spatial percept…

cs.SE2026

Q-READY: Predictive Feasibility Assessment for Hybrid Quantum-Classical Applications

Tao Yue, Man Zhang

Quantum computing is rapidly evolving into an emerging computational infrastructure and is increasingly being used to tackle real-world problems in domains such as chemistry, mater…

astro-ph.SR2026

Influence of Solar Polar Magnetic Fields on the Propagation of Coronal Mass Ejection

Xiao Zhang, Liping Yang, Xueshang Feng +9

Understanding the propagation of coronal mass ejections (CMEs) through interplanetary space is essential for space weather forecasting. Due to observational limitations, measuremen…

cs.SE2024

Fuzzing Microservices: A Series of User Studies in Industry on Industrial Systems with EvoMaster

Man Zhang, Andrea Arcuri, Yonggang Li +5

With several microservice architectures comprising of thousands of web services, used to serve 630 million customers, companies like Meituan face several challenges in the verifica…

stat.AP2018

Big Data and Reliability Applications: The Complexity Dimension

Yili Hong, Man Zhang, William Q. Meeker

Big data features not only large volumes of data but also data with complicated structures. Complexity imposes unique challenges in big data analytics. Meeker and Hong (2014, Quali…

cs.CV2024

QAGait: Revisit Gait Recognition from a Quality Perspective

Zengbin Wang, Saihui Hou, Man Zhang +5

Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns. Silhouette modality, renowned for its easy acquisition, simpl…

cs.CV2024

Self-supervised transformer-based pre-training method with General Plant Infection dataset

Zhengle Wang, Ruifeng Wang, Minjuan Wang +2

Pest and disease classification is a challenging issue in agriculture. The performance of deep learning models is intricately linked to training data diversity and quantity, posing…

cs.SE2026

Detecting and Mitigating Flakiness in REST API Fuzzing

Man Zhang, Chongyang Shen, Andrea Arcuri +1

Test flakiness is a common problem in industry, which hinders the reliability of automated build and testing workflows. Most existing research on test flakiness has primarily focus…

cs.RO2026

VLA-Corrector: Lightweight Detect-and-Correct Inference for Adaptive Action Horizon

Yi Pan, Miao Pan, Qi Lu +8

Vision-Language-Action (VLA) foundation models have recently achieved strong progress in embodied intelligence. To reduce policy-call frequency while preserving temporal coherence,…

cs.SE2022

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Man Zhang, Andrea Arcuri

RESTful APIs are a type of web services that are widely used in industry. In the last few years, a lot of effort in the research community has been spent in designing novel techniq…

physics.app-ph2024

Recent Advances on Transition-Metal-Based Layered Double Hydroxides Nanosheets for Electrocatalytic Energy Conversion

Yuchen Wang, Man Zhang, Yaoyu Liu +5

Transition-metal-based layered double hydroxides (TM-LDHs) nanosheets are promising electrocatalysts in the renewable electrochemical energy conversion system, which are regarded a…

cs.CV2022

Transfer Learning from Synthetic In-vitro Soybean Pods Dataset for In-situ Segmentation of On-branch Soybean Pod

Si Yang, Lihua Zheng, Xieyuanli Chen +3

The mature soybean plants are of complex architecture with pods frequently touching each other, posing a challenge for in-situ segmentation of on-branch soybean pods. Deep learning…

cs.SE2026

Managing Uncertainty in LLM-based Multi-Agent System Operation

Man Zhang, Tao Yue, Yihua He

Applying LLM-based multi-agent software systems in safety-critical domains such as lifespan echocardiography introduces system-level risks that cannot be addressed by improving mod…

cs.CV2024

FurniScene: A Large-scale 3D Room Dataset with Intricate Furnishing Scenes

Genghao Zhang, Yuxi Wang, Chuanchen Luo +4

Indoor scene generation has attracted significant attention recently as it is crucial for applications of gaming, virtual reality, and interior design. Current indoor scene generat…

cs.SE2025

Causes and Effects of Fitness Landscapes in System Test Generation: A Replication Study

Omur Sahin, Man Zhang, Andrea Arcuri

Search-Based Software Testing (SBST) has seen several success stories in academia and industry. The effectiveness of a search algorithm at solving a software engineering problem st…

astro-ph.SR2024

Interplanetary Rotation of 2021 December 4 CME

Mengxuan Ma, Liping Yang, Fang Shen +9

The magnetic orientation of coronal mass ejections (CMEs) is of great importance to understand their space weather effects. Although many evidences suggest that CMEs can undergo si…

cs.CV2024

OpenAnimals: Revisiting Person Re-Identification for Animals Towards Better Generalization

Saihui Hou, Panjian Huang, Zengbin Wang +4

This paper addresses the challenge of animal re-identification, an emerging field that shares similarities with person re-identification but presents unique complexities due to the…

cs.CV2026

Learning Geometric Invariance for Gait Recognition

Zengbin Wang, Junjie Li, Saihui Hou +6

The goal of gait recognition is to extract identity-invariant features of an individual under various gait conditions, e.g., cross-view and cross-clothing. Most gait models strive…

cs.SE2025

Quantum Optimization for Software Engineering: A Survey

Man Zhang, Yuechen Li, Tao Yue +1

Quantum computing, particularly in the area of quantum optimization, is steadily progressing toward practical applications, supported by an expanding range of hardware platforms an…

cs.SE2025

LRASGen: LLM-based RESTful API Specification Generation

Sida Deng, Rubing Huang, Man Zhang +3

REpresentation State Transfer (REST) is an architectural style for designing web applications that enable scalable, stateless communication between clients and servers via common H…

cs.SE2026

MASTOR: A Multi-Agent Approach to Semantic Test Oracle Generation for RESTful APIs

Sida Deng, Rubing Huang, Zhenzhen Yang +3

Existing automated RESTful API testing approaches commonly rely on simple checks (e.g., HTTP status codes, schema conformance), which are insufficient for detecting semantic faults…

cs.SE2022

White-Box and Black-Box Fuzzing for GraphQL APIs

Asma Belhadi, Man Zhang, Andrea Arcuri

The Graph Query Language (GraphQL) is a powerful language for APIs manipulation in web services. It has been recently introduced as an alternative solution for addressing the limit…

cs.SE2025

Empirical Studies on Quantum Optimization for Software Engineering: A Systematic Analysis

Man Zhang, Yuechen Li, Tao Yue +1

In recent years, quantum, quantum-inspired, and hybrid algorithms are increasingly showing promise for solving software engineering optimization problems. However, best-intended pr…

astro-ph.SR2025

SIP-IFVM: A time-evolving coronal model with an extended magnetic field decomposition strategy

Haopeng Wang, Liping Yang, Stefaan Poedts +20

Time-evolving magnetohydrodynamic (MHD) coronal modeling, driven by a series of time-dependent photospheric magnetograms, represents a new generation of coronal simulations. This a…

math.CO2015

Some bounds on the eigenvalues of uniform hypergraphs

Xiying Yuan, Man Zhang, Mei Lu

Let be a uniform hypergraph. Let and be the adjacency tensor and the signless Laplacian tensor of , respectively. In th…

cs.CV2024

Probabilistic Contrastive Learning for Domain Adaptation

Junjie Li, Yixin Zhang, Zilei Wang +3

Contrastive learning has shown impressive success in enhancing feature discriminability for various visual tasks in a self-supervised manner, but the standard contrastive paradigm…

stat.CO2017

An Algorithm for Computing the Distribution Function of the Generalized Poisson-Binomial Distribution

Man Zhang, Yili Hong, Narayanaswamy Balakrishnan

The Poisson-binomial distribution is useful in many applied problems in engineering, actuarial science, and data mining. The Poisson-binomial distribution models the distribution o…

cs.CL2025

GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models

5 Team, Aohan Zeng, Xin Lv +167

We present GLM-4.5, an open-source Mixture-of-Experts (MoE) large language model with 355B total parameters and 32B activated parameters, featuring a hybrid reasoning method that s…

cs.SE2026

Using OAI Overlay to Enhance REST API Fuzzing

Omur Sahin, Man Zhang, Alexander Poth +6

REST APIs are widely used in industry. Therefore, a lot of research has been focused on how to automatically generate test cases for REST APIs, with few different open-source fuzze…

cs.SE2026

Leveraging LLM-Based Agentic Systems to Generate Quantum Applications for Test Optimization

Ming Tao, Yuechen Li, Tao Yue +2

Quantum computing is increasingly explored for software engineering (SE) optimization, but translating natural-language (NL) task-level requirements into executable quantum applica…

physics.chem-ph2024

Facile synthesis of micro-flower NiCo2O4 assembled by nanosheets efficient for electrocatalysis of water

Yujie Wang, Yan Duan, Yuwen Chen +6

Effective regulation of the morphology of transition metal spinel structures is crucial for creating efficient and stable bifunctional catalysts for electrocatalysis of water. In t…

cs.SE2026

Agentic Generation and Evolution of Knowledge Models

Man Zhang, Tao Yue, Nazareno M. Aguirre +2

Complex software systems such as autonomous vehicles, robotics increasingly interact with dynamic physical, cyber, and social environments. Reasoning about their behavior, maintain…

cs.CV2014

Cross-Modal Learning via Pairwise Constraints

Ran He, Man Zhang, Liang Wang +2

In multimedia applications, the text and image components in a web document form a pairwise constraint that potentially indicates the same semantic concept. This paper studies cros…

cs.CV2025

ReMeREC: Relation-aware and Multi-entity Referring Expression Comprehension

Yizhi Hu, Zezhao Tian, Xingqun Qi +6

Referring Expression Comprehension (REC) aims to localize specified entities or regions in an image based on natural language descriptions. While existing methods handle single-ent…

cs.GR2025

DanceEditor: Towards Iterative Editable Music-driven Dance Generation with Open-Vocabulary Descriptions

Hengyuan Zhang, Zhe Li, Xingqun Qi +4

Generating coherent and diverse human dances from music signals has gained tremendous progress in animating virtual avatars. While existing methods support direct dance synthesis,…

cs.SE2026

Uncertainty Modeling for SysML v2

Man Zhang, Yunyang Li, Tao Yue

Uncertainty is inherent in modern engineered systems, including cyber-physical systems, autonomous systems, and large-scale software-intensive infrastructures (such as microservice…

cs.GR2025

SIG-Chat: Spatial Intent-Guided Conversational Gesture Generation Involving How, When and Where

Yiheng Huang, Junran Peng, Silei Shen +11

The accompanying actions and gestures in dialogue are often closely linked to interactions with the environment, such as looking toward the interlocutor or using gestures to point…

cs.CV2023

DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization

Xiaojun Tang, Junsong Fan, Chuanchen Luo +3

Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task. Due to large-scale datasets, most existing methods use a network pretrained in other data…

physics.app-ph2024

In situ growth of hydrophilic nickel-cobalt layered double hydroxides nanosheets on biomass waste-derived porous carbon for high-performance hybrid supercapacitors

Yuchen Wang, Yaoyu Liu, Zuo Chen +4

Rational design and cost-effective fabrication of layered double hydroxides (LDHs) nanosheets with extraordinary electrochemical performance is a key challenge for hybrid supercapa…

cs.SE2026

Fuzzing Microservices in Face of Intrinsic Uncertainties

Man Zhang, Tao Yue, Andrea Arcuri

The widespread adoption of microservices has fundamentally transformed how modern software systems are designed, deployed, operated and maintained. However, well-known microservice…

cs.CV2026

RA-SSU: Towards Fine-Grained Audio-Visual Learning with Region-Aware Sound Source Understanding

Muyi Sun, Yixuan Wang, Hong Wang +5

Audio-Visual Learning (AVL) is one fundamental task of multi-modality learning and embodied intelligence, displaying the vital role in scene understanding and interaction. However,…

physics.app-ph2024

Green fabrication of nickel-iron layered double hydroxides nanosheets efficient for the enhanced capacitive performance

Yuchen Wang, Zuo Chen, Man Zhang +3

Rational synthesis of robust layered double hydroxides (LDHs) nanosheets for high-energy supercapacitors is full of challenges. Herein, we reported an ultrasonication-assisted stra…

cs.SE2026

Ising-based Test Optimization and Benchmarking

Yige Yang, Man Zhang, Tao Yue

Test optimization contains test case selection and minimization, which is an important challenge in software testing and has been addressed with search-based approaches intensively…

cs.CV2017

Adversarial Discriminative Heterogeneous Face Recognition

Lingxiao Song, Man Zhang, Xiang Wu +1

The gap between sensing patterns of different face modalities remains a challenging problem in heterogeneous face recognition (HFR). This paper proposes an adversarial discriminati…

cs.CV2026

Visually-Guided Policy Optimization for Multimodal Reasoning

Zengbin Wang, Feng Xiong, Liang Lin +5

Reinforcement learning with verifiable rewards (RLVR) has significantly advanced the reasoning ability of vision-language models (VLMs). However, the inherent text-dominated nature…

cs.CV2024

Spectral Prompt Tuning:Unveiling Unseen Classes for Zero-Shot Semantic Segmentation

Wenhao Xu, Rongtao Xu, Changwei Wang +4

Recently, CLIP has found practical utility in the domain of pixel-level zero-shot segmentation tasks. The present landscape features two-stage methodologies beset by issues such as…

cs.SE2025

Search-Based Fuzzing For RESTful APIs That Use MongoDB

Hernan Ghianni, Man Zhang, Juan P. Galeotti +1

In RESTful APIs, interactions with a database are a common and crucial aspect. When generating whitebox tests, it is essential to consider the database's state (i.e., the data cont…