Publications (56)
Survey and Performance Evaluation of the Upcoming Next Generation WLAN Standard - IEEE 802.11ax
Qiao Qu, Bo Li, Mao Yang +10
With the ever-increasing demand for wireless traffic and quality of serives (QoS), wireless local area networks (WLANs) have developed into one of the most dominant wireless networ…
Learning to See in the Extremely Dark
Hai Jiang, Binhao Guan, Zhen Liu +5
Learning-based methods have made promising advances in low-light RAW image enhancement, while their capability to extremely dark scenes where the environmental illuminance drops as…
Abnormal Staebler-Wronski effect of amorphous silicon
Wenzhu Liu, Jianhua Shi, Liping Zhang +24
Great achievements in last five years, such as record-efficient amorphous/crystalline silicon heterojunction (SHJ) solar cells and cutting-edge perovskite/SHJ tandem solar cells, p…
Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification
Yujian Feng, Feng Chen, Jian Yu +4
Visible-infrared person re-identification (VI Re-ID) aims to match person images between the visible and infrared modalities. Existing VI Re-ID methods mainly focus on extracting h…
ImageNet Pre-training also Transfers Non-Robustness
Jiaming Zhang, Jitao Sang, Qi Yi +3
ImageNet pre-training has enabled state-of-the-art results on many tasks. In spite of its recognized contribution to generalization, we observed in this study that ImageNet pre-tra…
A meta learning scheme for fast accent domain expansion in Mandarin speech recognition
Ziwei Zhu, Changhao Shan, Bihong Zhang +1
Spoken languages show significant variation across mandarin and accent. Despite the high performance of mandarin automatic speech recognition (ASR), accent ASR is still a challenge…
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Lei Cheng, Xiaowen Huang, Jitao Sang +1
Recently, recommender system has achieved significant success. However, due to the openness of recommender systems, they remain vulnerable to malicious attacks. Additionally, natur…
Momentum Guidance: Plug-and-Play Guidance for Flow Models
Runlong Liao, Jian Yu, Baiyu Su +3
Flow-based generative methods offer a simple and effective framework for high-fidelity generation, yet pretrained flow models are rarely used in their vanilla conditional form: in…
Seedance 1.5 pro: A Native Audio-Visual Joint Generation Foundation Model
Team Seedance, Heyi Chen, Siyan Chen +194
Recent strides in video generation have paved the way for unified audio-visual generation. In this work, we present Seedance 1.5 pro, a foundational model engineered specifically f…
Attention, Please! Adversarial Defense via Activation Rectification and Preservation
Shangxi Wu, Jitao Sang, Kaiyuan Xu +2
This study provides a new understanding of the adversarial attack problem by examining the correlation between adversarial attack and visual attention change. In particular, we obs…
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
Jiaming Zhang, Jitao Sang, Kaiyuan Xu +4
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human. The most popular and practical Turing test is CAPTCHA, which is to disc…
Communication: Words and Conceptual Systems
Jian Yu
Words (phrases or symbols) play a key role in human life. Word (phrase or symbol) representation is the fundamental problem for knowledge representation and understanding. A word (…
VersaVogue: Visual Expert Orchestration and Preference Alignment for Unified Fashion Synthesis
Jian Yu, Fei Shen, Cong Wang +4
Diffusion models have driven remarkable advancements in fashion image generation, yet prior works usually treat garment generation and virtual dressing as separate problems, limiti…
Deep Embedded Clustering with Distribution Consistency Preservation for Attributed Networks
Yimei Zheng, Caiyan Jia, Jian Yu +1
Many complex systems in the real world can be characterized by attributed networks. To mine the potential information in these networks, deep embedded clustering, which obtains nod…
Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites
Sijin Lu, Pengyu Xu, Bing Liu +3
Posts in software Q\&A sites often consist of three main parts: title, description and code, which are interconnected and jointly describe the question. Existing tag recommendation…
Study on the static detection of ICF target based on muonic X-ray sphere encoded imaging
Dikai Li, Jian Yu, Qian Chen +5
Muon Induced X-ray Emission (MIXE) was discovered by Chinese physicist Zhang Wenyu as early as 1947, and it can conduct non-destructive elemental analysis inside samples. Research…
Formalization of Two Fixed-Point Algorithms in Hilbert Spaces
Yifan Bai, Yantao Li, Jian Yu +1
Iterative algorithms are fundamental tools for approximating fixed-points of nonexpansive operators in real Hilbert spaces. Among them, Krasnosel'ski\uı--Mann iteration and Halper…
A Generalization Theory based on Independent and Task-Identically Distributed Assumption
Guanhua Zheng, Jitao Sang, Houqiang Li +2
Existing generalization theories analyze the generalization performance mainly based on the model complexity and training process. The ignorance of the task properties, which resul…
Learning Contextualized Sentence Representations for Document-Level Neural Machine Translation
Pei Zhang, Xu Zhang, Wei Chen +3
Document-level machine translation incorporates inter-sentential dependencies into the translation of a source sentence. In this paper, we propose a new framework to model cross-se…
Positivity-preserving hybrid DG/FV method for compressible Euler equations with stiff source terms
Zhen-Hua Jiang, Xi Deng, Lin-Tao Huang +3
In numerical simulations of complex fluid dynamical problems, unphysical negative density or pressure may appear, causing blow-up of the computation. With the aim of obtaining posi…
IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design
Fei Shen, Jian Yu, Cong Wang +3
This paper presents IMAGGarment, a fine-grained garment generation (FGG) framework that enables high-fidelity garment synthesis with precise control over silhouette, color, and log…
ConceptMoE: Concept-Guided Multimodal Mixture of Experts for Interpretable Computational Pathology
Xuan Wang, Zhongling Xu, Gopi Kannedhara +13
Healthcare models are transitioning from unimodal prediction toward multimodal reasoning over heterogeneous diagnostic inputs. In computational pathology, for complex tumor subtype…
Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images
Joakim Nguyen, Jian Yu, Jinrui Fang +7
Accurate diagnosis of pediatric brain tumors, starting with histopathology, presents unique challenges for deep learning, including severe data scarcity, class imbalance, and fine-…
Benchmarking Multi-turn Medical Diagnosis: Hold, Lure, and Self-Correction
Jinrui Fang, Runhan Chen, Xu Yang +9
Large language models (LLMs) achieve high accuracy in medical diagnosis when all clinical information is provided in a single turn, yet how they behave under multi-turn evidence ac…
Comparative Analysis of Machine Learning Approaches to Analyze and Predict the Covid-19 Outbreak
Muhammad Naeem, Jian Yu, Muhammad Aamir +3
Background. Forecasting the time of forthcoming pandemic reduces the impact of diseases by taking precautionary steps such as public health messaging and raising the consciousness…
No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
Xu Yang, Zhizhou Sha, Junbo Li +10
As AI-generated reviews move from experimental tools into peer-review infrastructure, most robustness concerns have focused on explicit attacks such as hidden instructions and prom…
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis
Yaogong Feng, Xiaowen Huang, Pengbo Yang +2
Synthesizing pseudo samples is currently the most effective way to solve the Generalized Zero-Shot Learning (GZSL) problem. Most models achieve competitive performance but still su…
Parallax-Tolerant Image Stitching with Epipolar Displacement Field
Jian Yu, Feipeng Da
Image stitching with parallax is still a challenging task. Existing methods often struggle to maintain both the local and global structures of the image while reducing alignment ar…
Ensuring continued operation of INSPIRE as a cornerstone of the HEP information infrastructure
Sabine Crépé-Renaudin, Alexander Kohls, Micha Moskovic +3
The INSPIRE platform -- the most widely-used discovery service specifically tailored to the needs of researchers in High Energy Physics (HEP) -- has become a central component of t…
Nextformer: A ConvNeXt Augmented Conformer For End-To-End Speech Recognition
Yongjun Jiang, Jian Yu, Wenwen Yang +2
Conformer models have achieved state-of-the-art(SOTA) results in end-to-end speech recognition. However Conformer mainly focuses on temporal modeling while pays less attention on t…
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
Canyu Chen, Jian Yu, Shan Chen +8
Large Language Models (LLMs) hold great promise to revolutionize current clinical systems for their superior capacities on medical text processing tasks and medical licensing exams…
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine Translation
Wenhao Zhu, Shujian Huang, Tong Pu +6
Previous research for adapting a general neural machine translation (NMT) model into a specific domain usually neglects the diversity in translation within the same domain, which i…
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
Xinyan Wang, Ting Jia, Chongyu Wang +5
Accurate identification of disease genes has consistently been one of the keys to decoding a disease's molecular mechanism. Most current approaches focus on constructing biological…
ContextServ: Towards Model-Driven Development of Context-AwareWeb Services
Quan Z. Sheng, Jian Yu, Hanchuan Xu +4
In the era of Web of Things and Services, Context-aware Web Services (CASs) are emerging as an important technology for building innovative context-aware applications. CASs enable…
PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification
Jian Yu, Joakim Nguyen, Jinrui Fang +10
Accurate classification of pediatric central nervous system tumors remains challenging due to histological complexity and limited training data. While pathology foundation models h…
BSDP: Brain-inspired Streaming Dual-level Perturbations for Online Open World Object Detection
Yu Chen, Liyan Ma, Liping Jing +1
Humans can easily distinguish the known and unknown categories and can recognize the unknown object by learning it once instead of repeating it many times without forgetting the le…
VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation
Yifan Bai, Xiaoyang Liu, Zihao Mou +7
As large language models (LLMs) are increasingly deployed for software engineering, constructing high-quality benchmarks is crucial for evaluating not just the functional correctne…
UrbanAlign: Post-hoc Semantic Calibration for VLM-Human Preference Alignment
Yecheng Zhang, Rong Zhao, Zhizhou Sha +10
Vision-language models (VLMs) can describe urban scenes in rich detail, yet consistently fail to produce reliable human preference labels in domain-specific tasks such as safety as…
Windformer:Bi-Directional Long-Distance Spatio-Temporal Network For Wind Speed Prediction
Xuewei Li, Zewen Shang, Zhiqiang Liu +3
Wind speed prediction is critical to the management of wind power generation. Due to the large range of wind speed fluctuations and wake effect, there may also be strong correlatio…
SST-ReversibleNet: Reversible-prior-based Spectral-Spatial Transformer for Efficient Hyperspectral Image Reconstruction
Zeyu Cai, Jian Yu, Ziyu Zhang +2
Spectral image reconstruction is an important task in snapshot compressed imaging. This paper aims to propose a new end-to-end framework with iterative capabilities similar to a de…
Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models
Yi Feng, Jiaqi Wang, Wenxuan Zhang +6
Recent progress in large language models (LLMs) has opened new possibilities for mental health support, yet current approaches lack realism in simulating specialized psychotherapy…
Categorization Axioms for Clustering Results
Jian Yu, Zongben Xu
Cluster analysis has attracted more and more attention in the field of machine learning and data mining. Numerous clustering algorithms have been proposed and are being developed d…
Specifying and Reasoning about Contextual Preferences in the Goal-oriented Requirements Modelling
Khavee Agustus Botangen, Jian Yu, Sira Yongchareon +2
Goal-oriented requirements variability modelling has established the understanding for adaptability in the early stage of software development-the Requirements Engineering phase. G…
SafeNexus: Discovering and Steering Modality-Universal Safety Neurons in MLLMs
Jian Yu, Fei Shen, Cong Wang +4
Although Large Language Models (LLMs) have demonstrated promising safety performance, extending them to Multimodal Large Language Models (MLLMs) exposes a significant gap between e…
Knowledge Graph-enhanced Sampling for Conversational Recommender System
Mengyuan Zhao, Xiaowen Huang, Lixi Zhu +2
The traditional recommendation systems mainly use offline user data to train offline models, and then recommend items for online users, thus suffering from the unreliable estimatio…
Learning to Learn a Cold-start Sequential Recommender
Xiaowen Huang, Jitao Sang, Jian Yu +1
The cold-start recommendation is an urgent problem in contemporary online applications. It aims to provide users whose behaviors are literally sparse with as accurate recommendatio…
Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias
Shangxi Wu, Qiuyang He, Jian Yu +1
With the swift advancement of deep learning, state-of-the-art algorithms have been utilized in various social situations. Nonetheless, some algorithms have been discovered to exhib…
SS-GEN: A Social Story Generation Framework with Large Language Models
Yi Feng, Mingyang Song, Jiaqi Wang +5
Children with Autism Spectrum Disorder (ASD) often misunderstand social situations and struggle to participate in daily routines. Social Stories are traditionally crafted by psycho…
Preservation of Indigenous Culture among Indigenous Migrants through Social Media: the Igorot Peoples
Khavee Agustus Botangen, Shahper Vodanovich, Jian Yu
The value and relevance of indigenous knowledge towards sustainability of human societies drives for its preservation. This work explored the use of Facebook groups to promote indi…
IMAGHarmony: Controllable Image Editing with Consistent Object Quantity and Layout
Fei Shen, Yutong Gao, Jian Yu +2
Despite advances in diffusion-based image editing, manipulating multi-object scenes remains challenging. Existing approaches often achieve semantic changes at the expense of struct…
Generalized Categorization Axioms
Jian Yu
Categorization axioms have been proposed to axiomatizing clustering results, which offers a hint of bridging the difference between human recognition system and machine learning th…
Challenges in Binary Classification
Pengbo Yang, Jian Yu
Binary Classification plays an important role in machine learning. For linear classification, SVM is the optimal binary classification method. For nonlinear classification, the SVM…
A Pre-training Framework for Knowledge Graph Completion
Kuan Xu, Kuo Yang, Hanyang Dong +3
Knowledge graph completion (KGC) is one of the effective methods to identify new facts in knowledge graph. Except for a few methods based on graph network, most of KGC methods tren…
IDPL: Intra-subdomain adaptation adversarial learning segmentation method based on Dynamic Pseudo Labels
Xuewei Li, Weilun Zhang, Jie Gao +2
Unsupervised domain adaptation(UDA) has been applied to image semantic segmentation to solve the problem of domain offset. However, in some difficult categories with poor recogniti…
LingLanMiDian: Systematic Evaluation of LLMs on TCM Knowledge and Clinical Reasoning
Rui Hua, Yu Wei, Zixin Shu +33
Large language models (LLMs) are advancing rapidly in medical NLP, yet Traditional Chinese Medicine (TCM) with its distinctive ontology, terminology, and reasoning patterns require…
Towards Measuring the Adaptability of an AO4BPEL Process
Khavee Agustus Botangen, Jian Yu, Michael Sheng
Adaptability is a significant property which enables software systems to continuously provide the required functionality and achieve optimal performance. The recognised importance…