ACM Transactions on Intelligent Systems and Technology (TIST) (2025)

Content

↑ up

2025 Volume 16 Issue 1

doi dblp
Fair Projections as a Means toward Balanced Recommendations.
Aris Anagnostopoulos|Luca Becchetti|Matteo Böhm|Adriano Fazzone|Stefano Leonardi|Cristina Menghini|Chris Schwiegelshohn
doi dblp
DeepSneak: User GPS Trajectory Reconstruction from Federated Route Recommendation Models.
Thirasara Ariyarathna|Meisam Mohommady|Hye-young Paik|Salil S. Kanhere
doi dblp
Edge Manipulations for the Maximum Vertex-Weighted Bipartite b-matching.
Gennaro Auricchio|Jun Liu|Qun Ma|Jie Zhang
doi dblp
AVENUE: A Novel Deepfake Detection Method Based on Temporal Convolutional Network and rPPG Information.
Lokendra Birla|Trishna Saikia|Puneet Gupta
doi dblp
Misinformation Resilient Search Rankings with Webgraph-Based Interventions.
Peter Carragher|Evan M. Williams|Kathleen M. Carley
doi dblp
Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction.
Genan Dai|Weiyang Kong|Yubao Liu|Bowen Zhang|Xiaojiang Peng|Xiaomao Fan|Hu Huang
doi dblp
Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey.
Alessandro Fabris|Nina Baranowska|Matthew J. Dennis|David Graus|Philipp Hacker|Jorge Saldivar|Frederik J. Zuiderveen Borgesius|Asia J. Biega
doi dblp
Exploring Dataset Bias and Scaling Techniques in Multi-Source Gait Biomechanics: An Explainable Machine Learning Approach.
Sophie Fleischmann|Simon Dietz|Julian Shanbhag|Annika Wuensch|Marlies Nitschke|Jörg Miehling|Sandro Wartzack|Sigrid Leyendecker|Bjoern M. Eskofier|Anne D. Koelewijn
doi dblp
Recommender System-Induced Eating Disorder Relapse: Harmful Content and the Challenges of Responsible Recommendation.
Jennifer Golbeck
doi dblp
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning.
Cuiying Huo|Dongxiao He|Yawen Li|Di Jin|Jianwu Dang|Witold Pedrycz|Lingfei Wu|Weixiong Zhang
doi dblp
BeGin: Extensive Benchmark Scenarios and an Easy-to-use Framework for Graph Continual Learning.
Jihoon Ko|Shinhwan Kang|Taehyung Kwon|Heechan Moon|Kijung Shin
doi dblp
Aspect-Enhanced Explainable Recommendation with Multi-modal Contrastive Learning.
Hao Liao|Shuo Wang|Hao Cheng|Wei Zhang|Jiwei Zhang|Mingyang Zhou|Kezhong Lu|Rui Mao|Xing Xie
doi dblp
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning.
Giacomo Medda|Francesco Fabbri|Mirko Marras|Ludovico Boratto|Gianni Fenu
doi dblp
Explaining Neural News Recommendation with Attributions onto Reading Histories.
Lucas Möller|Sebastian Padó
doi dblp
A Federated Social Recommendation Approach with Enhanced Hypergraph Neural Network.
Hongliang Sun|Zhiying Tu|Dianbo Sui|Bolin Zhang|Xiaofei Xu
doi dblp
Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition.
Megha Thukral|Harish Haresamudram|Thomas Plötz
doi dblp
Fast and Accurate Evacuation Planning Algorithm with Bayesian Optimization.
Junpei Tokunaga|Yuki Kikukawa|Hiroyuki Ebara|Naonori Ueda
doi dblp
A Trustworthy and Responsible Decision-Making Framework for Resource Management in Food-Energy-Water Nexus: A Control-Theoretical Approach.
Suleyman Uslu|Davinder Kaur|Samuel J. Rivera|Arjan Durresi|Meghna Babbar-Sebens|Jenna H. Tilt
doi dblp
Popularity Bias in Correlation Graph-based API Recommendation for Mashup Creation.
Chao Yan|Weiyi Zhong|Dengshuai Zhai|Arif Ali Khan|Wenwen Gong|Yanwei Xu|Baogui Xin
doi dblp
Special Issue on Responsible Recommender Systems Part 2.
Lina Yao|Julian J. McAuley|Xianzhi Wang|Dietmar Jannach
doi dblp
Robust Recommender Systems with Rating Flip Noise.
Shanshan Ye|Jie Lu
doi dblp
Mitigating the Impact of Inaccurate Feedback in Dynamic Learning-to-Rank: A Study of Overlooked Interesting Items.
Chenhao Zhang|Weitong Chen|Wei Zhang|Miao Xu
doi dblp
Extracting Political Interest Model from Interaction Data Based on Novel Word-level Bias Assignment.
Yihong Zhang|Takahiro Hara
doi dblp
Fairness and Diversity in Recommender Systems: A Survey.
Yuying Zhao|Yu Wang|Yunchao Liu|Xueqi Cheng|Charu C. Aggarwal|Tyler Derr
doi dblp
Improving Faithfulness and Factuality with Contrastive Learning in Explainable Recommendation.
Haojie Zhuang|Wei Zhang|Weitong Chen|Jian Yang|Quan Z. Sheng

↑ up

2025 Volume 16 Issue 2

doi dblp
JASRNet: Learning Joint Adaptive Sampling and Reconstruction for Depth Sensing.
Chunyang Bi|Mingnuo Teng|Tianhao Xie|Kun Li|Jingyu Yang
doi dblp
MGRL4RE: A Multi-Graph Representation Learning Approach for Urban Region Embedding.
Meng Chen|Zechen Li|Hongwei Jia|Xin Shao|Jun Zhao|Qiang Gao|Min Yang|Yilong Yin
doi dblp
SAug: Structural Imbalance Aware Augmentation for Graph Neural Networks.
Ke-Jia Chen|Wenhui Mu|Zulong Liu|Zheng Liu
doi dblp
Towards Predicting Urban Land Use Changes: A Dynamic Graph Alignment Perspective.
Yu Fan|Xinjiang Lu|Hao Liu|Pengfei Wang|Liang Liu|Huadong Ma|Jingbo Zhou
doi dblp
Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review.
Cristiano Mesquita Garcia|Ramon Abílio|Alessandro Lameiras Koerich|Alceu de Souza Britto Jr.|Jean Paul Barddal
doi dblp
Model-Free Deep Reinforcement Learning for Adaptive Supply Temperature Control in Collective Space Heating Systems.
Sara Ghane|Stef Jacobs|Thomas Huybrechts|Peter Hellinckx|Siegfried Mercelis|Ivan Verhaert|Erik Mannens
doi dblp
Neuro-Symbolic Embedding for Short and Effective Feature Selection via Autoregressive Generation.
Nanxu Gong|Wangyang Ying|Dongjie Wang|Yanjie Fu
doi dblp
Retrieving Continuous-Time Event Sequences Using Neural Temporal Point Processes with Learnable Hashing.
Vinayak Gupta|Srikanta Bedathur|Abir De
doi dblp
A Novel Intelligent Video Surveillance System Using Low-Traffic Scene-Preserving Video Anonymization.
Jungwoo Huh|Jiwoo Kang|Jongwook Woo|Sanghoon Lee
doi dblp
Amalgamating Knowledge for Object Detection in Rainy Weather Conditions.
Trung-Hieu Le|Shih-Chia Huang|Quoc-Viet Hoang|Zdenek Lokaj|Zhihui Lu
doi dblp
Predicting the Occurrence of Respiratory Diseases Based on Campus Indoor Air Quality.
Pei-En Li|Yao-Hua Ho
doi dblp
Detecting Misinformation on Social Media using Community Insights and Contrastive Learning.
Oguzhan Ozcelik|Cagri Toraman|Fazli Can
doi dblp
QATCH: Automatic Evaluation of SQL-Centric Tasks on Proprietary Data.
Simone Papicchio|Paolo Papotti|Luca Cagliero
doi dblp
Cost-aware Best Arm Identification in Stochastic Bandits.
Zhida Qin|Wenhao Xue|Lu Zheng|Xiaoying Gan|Hongqiu Wu|Haiming Jin|Luoyi Fu
doi dblp
Counterfactual Explainer for Deep Reinforcement Learning Models using Policy Distillation.
Amir Samadi|Konstantinos Koufos|Kurt Debattista|Mehrdad Dianati
doi dblp
Analysing the Predictability of Language Model Performance.
Wout Schellaert|Fernando Martínez-Plumed|José Hernández-Orallo
doi dblp
An Underwater Imaging Generative Adversarial Network by Simulating the Mechanism of Light Propagation in Water.
Yujuan Sun|Xing Huang|Yanfang Cui|Junyu Dong|Xiaofeng Zhang|Tao Yao
doi dblp
Empirical and Experimental Insights into Data Mining Techniques for Crime Prediction: A Comprehensive Survey.
Kamal Taha
doi dblp
Integrated Image-Text Augmentation for Few-Shot Learning in Vision-Language Models.
Ran Wang|Hua Zuo|Zhen Fang|Jie Lu
doi dblp
Robust Learning under Hybrid Noise.
Yang Wei|Shuo Chen|Shanshan Ye|Bo Han|Chen Gong
doi dblp
Enriching Responses with Crowd-Sourced Knowledge for Task-Oriented Conversational Agents.
Zhaohui Wei|Lizi Liao|Xinguang Xiang|Xiaoyu Du
doi dblp
MVST: A Multi-View Spatial-Temporal Model for Fine-Grained Crime Prediction.
Chang Wei|Wengen Li|Yichao Zhang|Jihong Guan|Shuigeng Zhou
doi dblp
Unsupervised Outlier Detection with Reinforced Noise Discriminator.
Zhongping Zhang|Daoheng Liu|Jinwei Zhu|Youxi Wu
doi dblp
Adaptive Intention Learning for Session-Based Recommendation.
Qingbo Zhang|Xiaochun Yang|Hao Chen|Bin Wang|Zhu Sun|Xiangmin Zhou

↑ up

2025 Volume 16 Issue 3

doi dblp
Learning on Missing Tabular Data: Attention with Self-Supervision, Not Imputation, Is All You Need.
Li-Wei Chang|Cheng-Te Li|Chun-Pai Yang|Shou-de Lin
doi dblp
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.
Ching Chang|Wei-Yao Wang|Wen-Chih Peng|Tien-Fu Chen
doi dblp
Denoising Structure against Adversarial Attacks on Graph Representation Learning.
Na Chen|Ping Li|Jincheng Huang|Kai Zhang
doi dblp
PIN: Application-Level Consensus for Blockchain-Based Artificial Intelligence Frameworks.
Tannishtha Devgun|Rahul Saha|Gulshan Kumar|Mauro Conti
doi dblp
Self-Optimizing Teacher and Auto-Matching Student Framework for Change-Point Representation Learning in Time Series Forecasting.
Jinxiao Fan|Pengfei Wang|Liang Liu|Huadong Ma
doi dblp
Hire: Hybrid-Modal Interaction with Multiple Relational Enhancements for Image-Text Matching.
Xuri Ge|Fuhai Chen|Songpei Xu|Fuxiang Tao|Jie Wang|Joemon M. Jose
doi dblp
A Multi-Hop Graph Reasoning Network for Knowledge-Based VQA.
Zihan Hu|Jiuxiang You|Zhenguo Yang|Xiaoping Li|Haoran Xie|Qing Li|Wenyin Liu
doi dblp
Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning.
Ashly Ann Jo|Ebin Deni Raj|Jayakrushna Sahoo
doi dblp
SubgroupTE: Advancing Treatment Effect Estimation with Subgroup Identification.
Seungyeon Lee|Ruoqi Liu|Wenyu Song|Lang Li|Ping Zhang
doi dblp
Prediction for Sensor-Less Locations Using Multi-View Graph Fusion Approach with Approximation Module: A Case Study on Dengue Fever Risk Sensor.
Pei-Xuan Li|Hsun-Ping Hsieh
doi dblp
Modeling N-ary Relational Knowledge Bases with Tensor Decomposition.
Yu Liu|Quanming Yao|Yong Li
doi dblp
GPT-4V(ision) as A Social Media Analysis Engine.
Hanjia Lyu|Jinfa Huang|Daoan Zhang|Yongsheng Yu|Xinyi Mou|Jinsheng Pan|Zhengyuan Yang|Zhongyu Wei|Jiebo Luo
doi dblp
ATE-FS: An Average Treatment Effect-Based Feature Selection Technique for Software Fault Prediction.
Akshat Mangal|Santosh Singh Rathore
doi dblp
A Gated Graph Neural Network Approach to Fast-Convergent Dynamic Average Estimation.
Antonio Marino|Claudio Pacchierotti|Paolo Robuffo Giordano
doi dblp
Disentangling User Interest and Geographical Context for POI Recommendations.
Wenhui Meng|Jiayi Xie|Jing Yi|Yaochen Zhu|Zhenzhong Chen
doi dblp
Joint Structural-Functional Brain Graph Transformer.
Ciyuan Peng|Huafei Huang|Tianqi Guo|Chengxuan Meng|Jingjing Zhou|Wenhong Zhao|Ruwan B. Tennakoon|Feng Xia
doi dblp
Automatic Generation of Plausible Co-Occurring Causes for Effects Explanation or Prediction.
Roberto Pietrantuono|Stefano Russo
doi dblp
Improving the Summarization Effectiveness of Abstractive Datasets through Contrastive Learning.
Junho Shin|Younghoon Lee
doi dblp
Considering Time and Feature Entropy in Calibrated Recommendations.
Diego Corrêa da Silva|Dietmar Jannach|Frederico Araújo Durão
doi dblp
Enhancing Aspect Sentiment Classification with Dual-Channel Graph Convolutional Network.
Xin Sun|Yongqing Mi|Hongao Li
doi dblp
PRO-MTL: Parameterized Route Optimization Using Multi-Task Learning.
Jayant Vyas|Jayesh Budhwani|Debasis Das
doi dblp
Retentive Decision Transformer with Adaptive Masking for Reinforcement Learning-Based Recommendation Systems.
Siyu Wang|Xiaocong Chen|Lina Yao
doi dblp
Causal Inference for Recommendation: Foundations, Methods, and Applications.
Shuyuan Xu|Jianchao Ji|Yunqi Li|Yingqiang Ge|Juntao Tan|Yongfeng Zhang
doi dblp
LLM-Enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information.
Ruichao Yang|Jing Ma|Wei Gao|Hongzhan Lin

↑ up

2025 Volume 16 Issue 4

doi dblp
Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution?
Ahoud Alhazmi|Abdulwahab Aljubairy|Wei Emma Zhang|Quan Z. Sheng|Elaf Alhazmi
doi dblp
PREUS: Proactive and Robust Edge-UAV Systems for Autonomous Monitoring in Dynamic Environments.
Ismail AlQerm|Nuo Cheng|Jianli Pan
doi dblp
Counter-Samples: A Stateless Strategy to Neutralize Black-Box Adversarial Attacks.
Roey Bokobza|Yisroel Mirsky
doi dblp
Adaptive Target-Oriented Tracking.
Sixian Chan|Xianpeng Zeng|Zhoujian Wu|Yu Wang|Xiaolong Zhou|Tinglong Tang|Jie Hu
doi dblp
Large Language Models Are Zero-Shot Recognizers for Activities of Daily Living.
Gabriele Civitarese|Michele Fiori|Priyankar Choudhary|Claudio Bettini
doi dblp
A Federated Graph Neural Network with Differential Privacy for Cross-domain Recommender Systems.
Pham Minh Thu Do|Jie Lu|Qian Zhang|Guangquan Zhang
doi dblp
Towards AI-Assisted Inclusive Language Writing in Italian Formal Communications.
Salvatore Greco|Moreno La Quatra|Luca Cagliero|Tania Cerquitelli
doi dblp
Understanding User Preferences in Explainable Artificial Intelligence: A Mapping Function Proposal.
Maryam Hashemi|Ali Darejeh|Francisco Cruz
doi dblp
GenFighter: A Generative and Evolutive Textual Attack Removal.
Md Athikul Islam|Edoardo Serra|Sushil Jajodia
doi dblp
Integrating AI Planning with Natural Language Processing: A Combination of Explicit and Tacit Knowledge.
Kebing Jin|Hankz Hankui Zhuo
doi dblp
Grounding Foundation Models through Federated Transfer Learning: A General Framework.
Yan Kang|Tao Fan|Hanlin Gu|Xiaojin Zhang|Lixin Fan|Qiang Yang
doi dblp
Modeling Multi-Seasonal Multi-Behavior Dependency for Temporal Recommendation.
Shichao Liang|Wen Wen|Yali Feng|Ruichu Cai|Zhifeng Hao
doi dblp
Optimizing Reachability in Graph-Based Recommender Systems.
Alex Martinez|Federico Cinus|Francesco Bonchi|Jordi Vitrià
doi dblp
Cross-Region Graph Convolutional Network with Periodicity Shift Adaptation for Wide-Area SST Prediction.
Han Peng|Wengen Li|Chang Jin|Yichao Zhang|Jihong Guan|Hanchen Yang|Shuigeng Zhou
doi dblp
STPE-MARL: Spatio-Temporal Multi-Agent Population Evolution Reinforcement Learning.
Kexing Peng|Shihao Zhu|Tinghuai Ma
doi dblp
IT-RUDA: Information Theory-Assisted Robust Unsupervised Domain Adaptation.
Shima Rashidi|Ruwan B. Tennakoon|Aref Miri Rekavandi|Papangkorn Jessadatavornwong|Amanda Freis|Garret Huff|Mark Easton|Adrian Mouritz|Reza Hoseinnezhad|Alireza Bab-Hadiashar
doi dblp
Smart Imputation, Better Recommendations: Improving Traditional Point-of-Interest Recommendation through Data Augmentation.
Pablo Sánchez|Alejandro Bellogín
doi dblp
Generative AI in Fashion: Overview.
Wenda Shi|Waikeung Wong|Xingxing Zou
doi dblp
Evaluating the Efficacy of Prompt-Engineered Large Multimodal Models versus Fine-Tuned Vision Transformers in Image-Based Security Applications.
Fouad Trad|Ali Chehab
doi dblp
Graph Contrastive Learning on Multi-label Classification for Recommendations.
Jiayang Wu|Wensheng Gan|Huashen Lu|Philip S. Yu
doi dblp
Talking-DiSSM: Enhancing Temporal Consistency in Talking Face Video Generation with Bidirectional SSMs.
Zhen Xiao|Xueliang Liu|Jinlin Guo|Jun He|Richang Hong|Meng Wang
doi dblp
Alleviating Confirmation Bias in Learning with Noisy Labels via Two-Network Collaboration.
Chenglong Xu|Peipei Song|Shengeng Tang|Dan Guo|Xun Yang
doi dblp
Large-Scale Tensorized Multi-View Kernel Subspace Clustering.
Guang-Yu Zhang|Dong Huang|Chang-Dong Wang
doi dblp
Integrated Hybrid Transformer and Multi-Receptive Feature Extraction Mechanism for Electrocardiogram Denoising Using Score-Based Diffusion Model.
Baofeng Zhu|Wanjun Cheng|Xia Zhang|Jiren Liu

↑ up

2025 Volume 16 Issue 5

doi dblp
DeMEtRIS: Counting (near)-Cliques by Crawling.
Suman K. Bera|Jayesh Choudhari|Shahrzad Haddadan|Sara Ahmadian
doi dblp
Local Edge Dynamics and Opinion Polarization.
Nikita Bhalla|Adam Lechowicz|Cameron Musco
doi dblp
Cognitive Decision Modeling for Quality of Service in Domestic Pipeline Network.
Munish Bhatia
doi dblp
Causal Flow-Based Variational Auto-Encoder for Disentangled Causal Representation Learning.
Di Fan|Yannian Kou|Chuanhou Gao
doi dblp
Mobility Data-Driven Privacy-Preserving Model for Detecting High-Risk Infection Cases.
Wenjie Fu|Huandong Wang|Chen Gao|Guanghua Liu|Yong Li|Tao Jiang
doi dblp
Learning to Associate: Multimodal Inference with Fully Missing Modalities.
Jack Geraghty|Andrew Hines|Fatemeh Golpayegani
doi dblp
Multi-Autonomous Underwater Vehicle Trajectory Planning in Ocean Current Based on Hierarchical Hunting and Evolutionary Learning.
Bin Jiang|Yining Wang|Fanhui Kong|Jian Wang
doi dblp
Personalized Learning Path Recommendation with Time-Aware Attention-Based Reinforcement Learning.
Shantao Jiang|Yiping Wen|Jun Shen|Gaoxian Peng|Guosheng Kang|Jianxun Liu
doi dblp
GCFExplainer: Global Counterfactual Explainer for Graph Neural Networks.
Mert Kosan|Zexi Huang|Sourav Medya|Sayan Ranu|Ambuj Singh
doi dblp
Introduction to the "Best Papers of WSDM 2023" Special Issue.
Hady W. Lauw|Marc Najork|Evimaria Terzi|Panayiotis Tsaparas
doi dblp
Cross-User Federated Recommendation Unlearning.
Yang Li|Enyue Yang|Weike Pan|Qiang Yang|Zhong Ming
doi dblp
A Comprehensive Overview of Large Language Models.
Humza Naveed|Asad Ullah Khan|Shi Qiu|Muhammad Saqib|Saeed Anwar|Muhammad Usman|Naveed Akhtar|Nick Barnes|Ajmal Mian
doi dblp
Predicting Next Useful Location with Context-Awareness: The State-of-the-Art.
Alireza Nezhadettehad|Arkady B. Zaslavsky|Abdur Rakib|Siraj Ahmed Shaikh|Seng W. Loke|Guang-Li Huang|Alireza Hassani
doi dblp
A Survey of Machine Unlearning.
Thanh Tam Nguyen|Thanh Trung Huynh|Zhao Ren|Phi Le Nguyen|Alan Wee-Chung Liew|Hongzhi Yin|Quoc Viet Hung Nguyen
doi dblp
Tabular Transformers Meet Relational Databases.
Jakub Peleska|Gustav Sír
doi dblp
Surveying Technology Fusion in IoT Networks for IDS: Exploring Datasets, Tools, Challenges, and Research Prospects.
Mamta Rawat|Gaurav Singal
doi dblp
Scalable Multi-Instance Multi-Shape Support Vector Machine for Whole Slide Breast Histopathology.
Hoon Seo|Yuze Bai|Lodewijk Brand|Lucia Saldana Barco|Hua Wang
doi dblp
Ensuring Pre-Fusion Modality Consistency: A New Approach to Multimodal Sentiment Detection.
Yulou Shu|Wengen Li|Yu-Ping Ruan|Wuchao Liu|Yichao Zhang|Jihong Guan|Shuigeng Zhou
doi dblp
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning.
Selim Furkan Tekin|Fatih Ilhan|Tiansheng Huang|Sihao Hu|Margaret Loper|Ling Liu
doi dblp
Graph Machine Learning in the Era of Large Language Models (LLMs).
Shijie Wang|Jiani Huang|Zhikai Chen|Yu Song|Wenzhuo Tang|Haitao Mao|Wenqi Fan|Hui Liu|Xiaorui Liu|Dawei Yin|Qing Li
doi dblp
Balancing Cooperation and Competition: Selfish Worker Coalition Formation in Spatial Crowdsourcing.
Liang Wang|Shan Su|Rongchang Cheng|Dingqi Yang|Lianbo Ma|Fei Xiong|Bin Guo|Zhiwen Yu
doi dblp
LLM-Enhanced User-Item Interactions: Leveraging Edge Information for Optimized Recommendations.
Xinyuan Wang|Liang Wu|Liangjie Hong|Hao Liu|Yanjie Fu
doi dblp
Knowledge Enhancement and Temporal Aware for Multi-Behavior Contrastive Recommendation.
Hongrui Xuan|Bohan Li|Wenlong Wu|Yi Liu|Hongzhi Yin
doi dblp
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining.
Peiyan Zhang|Jiayan Guo|Chaozhuo Li|Liying Kang|Jaeboum Kim|Jie Xu|Xi Zhang|Yan Zhang|Haohan Wang|Sunghun Kim
doi dblp
Horizon Forcing: Improving the Recurrent Forecasting of Chaotic Systems.
Yong Zhuang|Matthew Almeida|Wei Ding|Shafiqul Islam|Zihan Li|Ping Chen

↑ up

2025 Volume 16 Issue 6

doi dblp
PEAS: A Strategy for Crafting Transferable Adversarial Examples.
Bar Avraham|Yisroel Mirsky
doi dblp
A Comprehensive Survey on Multi-View Classification: Methods, Applications, and Challenges.
Kamal Berahmand|Fatemeh Daneshfar|Maryam Rahmaninia|Maryam Haghighat|Mahdi Jalili
doi dblp
Artificial Intelligence-Inspired Anxiety Detection in Smart Office: Cyber Twin Perspective.
Munish Bhatia
doi dblp
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System.
Yashar Deldjoo|Tommaso Di Noia
doi dblp
How Do Large Language Models Understand Genes and Cells.
Chen Fang|Yidong Wang|Yunze Song|Qingqing Long|Wang Lu|Linghui Chen|Guihai Feng|Yuanchun Zhou|Xin Li
doi dblp
Entropy Causal Graphs for Multivariate Time Series Anomaly Detection.
Falih Gozi Febrinanto|Kristen Moore|Chandra Thapa|Mujie Liu|Vidya Saikrishna|Jiangang Ma|Feng Xia
doi dblp
Back-in-Time Diffusion: Unsupervised Detection of Medical Deepfakes.
Fred Matanel Grabovski|Lior Yasur|Guy Amit|Yisroel Mirsky
doi dblp
Learning to Hash Knowledge Graph: Element-wise Rotation.
Yeshuai He|Jianqiang Cheng|Yong Ge
doi dblp
Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data.
Aritra Hota|Soumyajit Chatterjee|Sandip Chakraborty
doi dblp
From Representation to Response: Assessing the Alignment of Large Language Models with Human Judgment Patterns.
Anastasiia Hrytsyna|Rodrigo Alves
doi dblp
Corrigendum: An Unbiased Risk Estimator for Partial Label Learning with Augmented Classes.
Jiayu Hu|Senlin Shu|Beibei Li|Tao Xiang|Zhongshi He
doi dblp
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus.
Seungpil Lee|Woochang Sim|Donghyeon Shin|Wongyu Seo|Jiwon Park|Seokki Lee|Sanha Hwang|Sejin Kim|Sundong Kim
doi dblp
Modeling the Chaotic Semantic States of Generative Artificial Intelligence (AI): A Quantum Mechanics Analogy Approach.
Tong Liu|Timothy R. McIntosh|Teo Susnjak|Paul A. Watters|Malka N. Halgamuge
doi dblp
The Evaluation Framework and Benchmark for Large Language Models in the Government Affairs Domain.
Shuo Liu|Lin Zhang|Weidong Liu|Jianfeng Zhang|Donghui Gao|Xiaofeng Jia
doi dblp
Urban Computing in the Era of Large Language Models.
Zhonghang Li|Lianghao Xia|Xubin Ren|Jiabin Tang|Tianyi Chen|Yong Xu|Chao Huang
doi dblp
Help Me Screen: Analyzing and Predicting the Success of Start-ups in Dynamic Venture Capital Networks.
Shiwei Lyu|Xiaofeng Li|Suting Hong|Qing Ke|Jinjie Gu|Kunpeng Zhang|Haipeng Zhang
doi dblp
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study.
Gonzalo Martínez|José Alberto Hernández|Javier Conde|Pedro Reviriego|Elena Merino Gómez
doi dblp
Developing Time Series Forecasting Models with Generative Large Language Models.
Juan Morales-García|Antonio Llanes|Francisco Arcas-Túnez|Fernando Terroso-Sáenz
doi dblp
Multimodal Large Language Model with LoRA Fine-Tuning for Multimodal Sentiment Analysis.
Jie Mu|Wei Wang|Wenqi Liu|Tiantian Yan|Guanglu Wang
doi dblp
The Social Cognition Ability Evaluation of LLMs: A Dynamic Gamified Assessment and Hierarchical Social Learning Measurement Approach.
Qin Ni|Yangze Yu|Yiming Ma|Xin Lin|Ciping Deng|Tingjiang Wei|Mo Xuan
doi dblp
Advances in Pre-trained Language Models for Domain-Specific Text Classification: A Systematic Review.
Zhyar Rzgar K. Rostam|Gábor Kertész
doi dblp
Introduction to the Special Issue on Evaluations of Large Language Models: Part 1.
Jindong Wang|Linyi Yang|Sunayana Sitaram|Qiang Yang|Bhiksha Raj
doi dblp
A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness.
Fali Wang|Zhiwei Zhang|Xianren Zhang|Zongyu Wu|Tzuhao Mo|Qiuhao Lu|Wanjing Wang|Rui Li|Junjie Xu|Xianfeng Tang|Qi He|Yao Ma|Ming Huang|Suhang Wang
doi dblp
Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application.
Chuanpeng Yang|Yao Zhu|Wang Lu|Yidong Wang|Qian Chen|Chenlong Gao|Bingjie Yan|Yiqiang Chen
doi dblp
Online Distributed Heterogeneous Streaming Feature Selection.
Peng Zhou|Huiqi Deng|Yunyun Zhang|Zhaolong Ling|Xindong Wu