Publications (10)
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation
Baopu Qiu, Liang Ding, Di Wu +3
Machine Translation Quality Estimation (QE) is the task of evaluating translation output in the absence of human-written references. Due to the scarcity of human-labeled QE data, p…
SFS: Spatially-Aware Separability-Driven Feature Selection in Fuzzy Decision Systems
Suping Xu, Chuyi Dai, Ye Liu +3
Feature selection is crucial for fuzzy decision systems (FDSs), as it identifies informative features and eliminates rule redundancy, thereby enhancing predictive performance and i…
Margin-aware Fuzzy Rough Feature Selection: Bridging Uncertainty Characterization and Pattern Classification
Suping Xu, Lin Shang, Keyu Liu +3
Fuzzy rough feature selection (FRFS) is an effective means of addressing the curse of dimensionality in high-dimensional data. By removing redundant and irrelevant features, FRFS h…
ControBench: An Interaction-Aware Benchmark for Controversial Discourse Analysis on Social Networks
Ta Thanh Thuy, Jiaqi Zhu, Xuan Liu +6
Understanding how people argue across ideological divides online is important for studying political polarization, misinformation, and content moderation. Existing datasets capture…
CoRGI: Verified Chain-of-Thought Reasoning with Post-hoc Visual Grounding
Shixin Yi, Lin Shang
Multimodal reasoning with vision-language models (VLMs) often suffers from hallucinations, as models tend to generate explanations after only a superficial inspection of the image.…
From Distance to Direction: Structure-aware Label-specific Feature Fusion for Label Distribution Learning
Suping Xu, Chuyi Dai, Lin Shang +3
Label distribution learning (LDL) is an emerging learning paradigm designed to capture the relative importance of labels for each instance. Label-specific features (LSFs), construc…
Less is More: Denoising Knowledge Graphs For Retrieval Augmented Generation
Yilun Zheng, Dan Yang, Jie Li +4
Retrieval-Augmented Generation (RAG) systems enable large language models (LLMs) instant access to relevant information for the generative process, demonstrating their superior per…
Steady-state phase transition in one-dimensional quantum contact process
Lin Shang, Shuai Geng, Xingli Li +1
We investigate the steady-state phases of the one-dimensional quantum contact process model. We present the Liouvillian gap in the thermodynamic limit and uncover the metastability…
Data-Free Adversarial Perturbations for Practical Black-Box Attack
ZhaoXin Huan, Yulong Wang, Xiaolu Zhang +3
Neural networks are vulnerable to adversarial examples, which are malicious inputs crafted to fool pre-trained models. Adversarial examples often exhibit black-box attacking transf…
Adaptive Re-ranking of Deep Feature for Person Re-identification
Yong Liu, Lin Shang, Andy Song
Typical person re-identification (re-ID) methods train a deep CNN to extract deep features and combine them with a distance metric for the final evaluation. In this work, we focus…