ACCEPTED PAPERS

This year, each accepted paper has an oral presentation and a poster presentation. The oral presentation can either be a long (20 min) or a short (10 min) one. The duration of the oral presentation is determined based on the nature of the paper and the recommendation from the area chair. The size of the poster is 100 cm x 200 cm, landscape.

We are pleased to announce the accepted papers at ACML 2025 as follows:

ACCEPTED JOURNAL TRACK PAPERS

  • Harnessing Generative Flow Networks for Effective Structural Inference Aoran Wang, Jun Pang | University of Luxembourg
  • DTSformer: A Dual-Branch Transformer with Multi-Scale Decomposition for Long-Term Time Series Forecasting Meijia Wang, Hua Wang, Fan Zhang | Shandong Technology and Business University
  • A Task Allocation Algorithm in Mobile Crowdsensing under Time Constraints Qijia Wang, Bing Shi | Wuhan University of Technology
  • Collaborative Multivariate Time Series Forecasting via Variable-Tailored Inter-Temporal Graph and Adaptive-Smooth Frequency Fusion Jierui Lei, Peng Peng, Haina Tang, Xudong Zhang, Fangzheng Chen, Wenjian Zhang | University of Chinese Academy of Sciences
  • GaPaTTA: Gaussian Entropy-Guided Prompt Placement for Test-Time Adaptation in Semantic Segmentation Jixiang Lei, Franz Pernkopf | Graz University of Technology
  • Dual-granularity Sinkhorn Distillation for Enhanced Learning from Long-tailed Noisy Data Feng Hong, Yu Huang, Zihua Zhao, Zhihan Zhou, Jiangchao Yao, Dongsheng Li, Ya Zhang, Yanfeng Wang | Shanghai Jiao Tong University
  • Generalized Probabilistic Attention Mechanism in Transformers DongNyeong Heo, Heeyoul Choi | Handong Global University
  • Automated Machine Learning for Unsupervised Tabular Tasks Prabhant Singh, Pieter Gijsbers, Murat Onur Yildirim, Elif Ceren Gök Yildirim, Joaquin Vanschoren | Eindhoven University of Technology
  • Low-Light Scene Text Image Enhancement in the Wild Haiyang Yu, Wei Lu, Yinglian Zhu, Ke Niu, Xiangyang Xue, Bin Li | Fudan University
  • S2TE: Staged Scale-Free Topology Evolution for Sparse Spiking Neural Networks Zaipeng Xie, Wei Zhu, Peixin Li, Haotian Ding, WenZhan Song | Hohai University
  • FDGReID: Federated Domain Generalization for Person Re-Identification Ke Niu, Haiyang Yu, Teng Fu, Mengyang Zhao, Bin Li, Xuelin Qian, Xiangyang Xue | Fudan University
  • Performance Estimation in Binary Classification Using Calibrated Confidence Juhani Kivimäki, Jakub Białek, Wojtek Kuberski, Jukka K. Nurminen | University of Helsinki
  • RhoMARL: Robust Learning for Heterogeneous Multi-Agent Systems in Dynamic Environments Zaipeng Xie, Wenhao Fang, Chentai Qiao, Yiming Zhao, WenZhan Song | Hohai University
  • Boosting Efficient Experience Exchange in Sparse-Reward Multi-Agent Reinforcement Learning Jianan Zhang, Zaipeng Xie, Nuo Yang, Juguang Jin, WenZhan Song | Hohai University
  • ReCUR: Bipartite Graph Contrastive Unlearning with Influence Estimation for Privacy-preserved Recommendation Tzu-Hsuan Yang, Cheng-Te Li | National Cheng Kung University
  • A Regularization Framework for Gender Bias Mitigation in Dense Neural Rankers Shirin Seyedsalehi, Morteza Zihayat, Ebrahim Bagheri | Toronto Metropolitan University
  • Performative Prediction in the Wild: Adapting to Arbitrary Data Distribution Maps Guangzheng Zhong, Yang Liu, Ruichen Liu, Jiming Liu | Hong Kong Baptist University
  • Physics-Guided Encoder-Decoder Transformers for Path Planning of Autonomous Marine Vehicles: Development and Idealized Applications Rohit Chowdhury, Deepak N. Subramani | Indian Institute of Science
  • Using Synthetic Data to estimate the True Error is theoretically and practically doable Hai Hoang Thanh, Tung Nguyen Duy, Hung Tran The, Khoat Than | Hanoi University of Science and Technology
  • W2S: Weak-to-Strong Prompt Correction for Large Language Models Lirong Gao, Xinyi Wang, Hao Chen, Ru Peng, Qi Zhang, Yiming Zhang, Wentao Ye, Haoze Li, Haobo Wang, Junbo Zhao | Zhejiang University
  • ABANet: An Atom-Bond Attention-Enhanced Neural Network for End-to-End Retrosynthesis Qing-Xiao Wang, Lei Chen, Xue-Ling Zhang, Xiao-Xin Li | Zhejiang University of Technology
  • Moving Average Randomized Tree Vinay Kumar Giri, Rahul Goswami, Vimlesh Kumar | The Institute of Chartered Accountants of India
  • Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization Feihu Huang, Xinrui Wang, Siqi Zhang, Soncan Chen | Nanjing University of Aeronautics and Astronautics
  • DeNAV: Decentralized Self-Supervised Learning with a Training Navigator Xuanyu Chen, Nan Yang, Charles Z. Liu, Dong Yuan | The Univerisity of Sydney
  • LADA: Label Disambiguation and Domain-Aware Learning for Domain Generalization Zhiqing Xiao, Haobo Wang, Yali Ye, Wentao Ye, Hao Chen, Gang Chen, Junbo Zhao, Rex Ying | Zhejiang University
  • Auto-clustering with Continuous Distribution Estimation on Centroids Yuangang Pan, Yinghua Yao, Atsushi Nitanda, Joey Tianyi Zhou, Ivor Tsang | Agency for Science, Technology and Research
  • Combating noisy labels in object detection datasets Krystian Chachuła, Bartłomiej Olber, Jakub Łyskawa, Adam Popowicz, Krystian Radlak | Silesian University of Technology
  • Weakly Supervised Classification with Pre-Trained Models: A Robust Fine-Tuning Approach Ming Li, Wei Wang, Masashi Sugiyama | The University of Tokyo

ACCEPTED CONFERENCE TRACK PAPER

  • Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning Adrien Prevost; Timothée Mathieu; Odalric-Ambrym Maillard
  • MagicMask: A Real-time and High-fidelity Face Swapping Method Robust to Face Pose Jongmin Yu; Anoushka Harit; Jiankang Deng; Shan Luo; Jinhong Yang; Zhongtian Sun
  • Outcome-based Semifactuals For Reinforcement Learning Yanzhe Bekkemoen; Helge Langseth
  • Kairos: Redefining Event and Time Prediction with Language Modeling Akash Gupta; Sahil Verma; Sumit Bisht; Nitika Verma; Purav Aggarwal; Venkata Phanindra Kumar Grandhi; Abhishek Persad
  • HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection Guanming Chen; Lingzhi Shen; Xiaohao Cai; Imran Razzak; Shoaib Jameel
  • Direct Quantized Training of Language Models with Stochastic Rounding Kaiyan Zhao; Tsuguchika Tabaru; Kenichi Kobayashi; Takumi Honda; Masafumi Yamazaki; Yoshimasa Tsuruoka
  • Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs 刘嘉豪; Zijian Wang; Zhao Kuo; 胡冬
  • Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games Mikoto Kudo; Youhei Akimoto
  • Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size Kanata Oowada; Hideaki Iiduka
  • Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size Kento Imaizumi; Hideaki Iiduka
  • FG-MSTGNN: Cross-subject EEG Emotion Recognition via Frequency-guided Multi-period Spatial-temporal Graph Neural Network Chenchen Zhang; YANRONG HAO; Xin Wen; Mengni Zhou; Fei Yuan; Rui Cao
  • On the Privacy-preserving Generalized Eigenvalue Problem Wei-Hong Chen; YU-FENG HUANG; Chen Yu Lee; Hung Yi Chen; Shi-Chun Tsai
  • CAP: Conformalized Abstention Policies for Context-Adaptive Risk Management for LLMs and VLMs Sina Tayebati; Divake Kumar; Nastaran Darabi; Dinithi Jayasuriya; Theja Tulabandhula; Ranganath Krishnan; Amit Ranjan Trivedi
  • Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning Ziyu Wang; Ping-Chun Hsieh; Yu-Shuen Wang; Yun-Hsuan Lien
  • Optimizing Trajectory Matching Distillation via Parameter Difference-Driven Pruning Xinyu Cao; He Liu; Liyuan Zhang; Zhongliang Kan
  • Learning Curves of Classification Metrics based on  Confusion Matrices Yan Xue; Ruibo Wang; Xuefei Cao; Jing Yang; Jihong Li
  • Towards Robust and Scalable Knowledge Editing in Text-to-Image Diffusion Models YiFei Liu; Xin Wang
  • Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection Pei-Kang Lee; Jun-Cheng Chen; Ja-ling Wu
  • CrossPyEval: Enhancing LLM-based Evaluation of Low-Resource Code via Code Translation Weijie Wu; Ling-I Wu; Guoqiang Li
  • Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation Peidong Liu; Wenbo Zhang; Wei Ju; Jiancheng Lv; Xianggen Liu
  • Sampling Boundary for Causal Effect Estimation Yue Yin; Jiaoyun Yang; Ning An; Lian Li
  • GIIM: A Graph Information Integration Method for Chinese-Kazakh CLIR Ping Hu; He Yang; Changle Yin; Tao Wang; Yuchao Chen
  • Enhanced Blind Image Restoration with Channel Attention Transformers and Multi-Scale Attention Prompt-based Learning Jianhua hu; K. L. Eddie Law
  • Multi-thresholding Good Arm Identification with Bandit Feedback Xuanke Jiang; Sherief Hashima; Kohei Hatano; Eiji Takimoto
  • KVCrush: Key Value Cache size-reduction using similarity in head-behaviour Gopi Krishna Jha; Sameh Gobriel; Liubov Talamanova; Nilesh Jain
  • Round Attention: A Novel Round-Level Attention Mechanism to Accelerate LLM Inference Yaohua Tang; Zhicheng Hu; Kun Cheng; Fan Mo; Qiheng Lyu; Hua Wang; Zhi Chen
  • Beyond UDA: Examining Temporal and Frequency Representations in Time Series Transfer Ching Chieh Tsao; Fang-Yi Su; Jung-Hsien Chiang
  • Reduced-rank Factorized Fourier Neural Operator Chieh-An Chou; Lu-Hung Chen
  • Label-Perceptive Adversarial Domain Adaptation for Named Entity Recognition in Traditional Chinese Medicine: Dataset and Approach Yu Tong
  • EIKEA:Enhancing In-Context Knowledge Editing by Agents Ziboxu; Xin Wang
  • Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model Sihao Wu; Gaojie Jin; Wei Huang; Jianhong Wang; Xiaowei Huang
  • JurisGraph Insight Engine 1.0v: A Legal Question Answering System Based on Large Language Models and Knowledge Graphs Haiguang Zhang
  • Explainable Dynamic Graph Neural Networks for Predictive Maintenance in Vehicle Chassis Systems Junwei SU; Wu You; Sirui ZHANG; Zhijian Li
  • Emergence of the Primacy Effect in Structured State-Space Models Takashi Morita
  • Information-Based Exploration via Random Features for Reinforcement Learning Waris Radji; Odalric-Ambrym Maillard
  • SparseSegNet: A Boundary-Aware Lightweight Segmentation Architecture for Skin Lesions Soma Dasgupta; Swarnava Dey; Arijit Mukherjee; Arpan Pal
  • Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition Razieh Ghaedi; AmirReza BabaAhmadi; Reyer Zwiggelaar; Xinqi Fan; Nashid Alam
  • Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer Abdur Rehman; S M A Sharif; Md Abdur Rahaman; Mohamed Jismy Aashik Rasool; Seongwan Kim; Jaeho Lee
  • AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks Kai Yuan; Jiahao Zhang; Yidi Wang; pei Xiaobing
  • D$^3$epth: Distilling Diffusion Models For Efficient Depth Estimation Through A Two-Stage Approach Bo-Chih Chuang; Wei-Tung Lin; Shang-Fu Chen; Kailung Hua
  • CryChime: When Large Language Models Learn to Listen to Distant Cries - A Counterfactual PEFT Framework for Urgent Need Detection in Disaster Social Media Junhong Cai; Geng Zhao; Jiaxin Li
  • ChameleonBench: Quantifying Alignment Faking in Large Language Models Archie Chaudhury; Shikhar Shiromani
  • Dual Color Space Underwater Image Enhancement Network Jiaying He; K. L. Eddie Law
  • Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems Akira Osaka; Naoya Takeishi; Takehisa Yairi
  • Data-dependent Algorithmic Robustness Analysis of Pairwise Learning Donglai WU; Runqiu Wu; Yunwen Lei
  • Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks Zhihong Xu; Wenjun Shi; Dongchen Zhu; Xiaolin Zhang; Lei Wang; Jiamao Li
  • Training Data Soft Selection via Joint Density Ratio Estimation Ryuta Matsuno
  • FeelNet: A Lightweight Fast Fourier Transform EEG-based Emotion Recognition Network Xueyao Wang; Xiuding Cai; Yaoyao Zhu; Yu Yao
  • Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning Lecheng Cao; Junhao Zhang; Xiaohan Zhang; Huaxiong Li
  • SAFE: Spiking Neural Network-based Audio Fidelity Evaluation Aaditya Arunkumar Khant; Raveen Wijewickrama; Murtuza Jadliwala
  • Boundary-Aware Refinement with Environment-Robust Adapter Tuning for Underwater Instance Segmentation Pin-Chi Pan; Soo-Chang Pei
  • TAEGAN: Revisit GANs for Tabular Data Generation Jiayu Li; Zilong Zhao; Kevin Yee; Uzair Javaid; Biplab Sikdar
  • Suicidal Posts Detection System Incorporating Psychological Risk Factors Chih-Ning Chen; Chieh-Jou Lin; Yu Ping Ma; Kuo-Liang Ou; Kunhua Lee; Daw-Wei Wang
  • High-Order Consistency-Guided User Identity Linkage with Large Language Model Tianpeng Li; Xiangjun Pei; Yinghui Wang; Qiyao Peng; Wenjun Wang
  • Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum Keisuke Kamo; Hideaki Iiduka
  • POIL:Preference Optimization for Imitation Learning Kuanyen Liu; Renjyun Huang; Chang Chih Meng; I-Chen Wu
  • MSFAD: Multi-Scale Frequency-Aware Knowledge Distillation for Real-Time Object Detection on Edge Devices YanjunXu; Chunqi Tian; Xia Xuhui; Yaoru Sun
  • Mega-CE$^2$ : A Multimodal Heterogeneous Aggregation Framework for End-Edge-Cloud Computing Zinuo Cheng; Haodi Wang; Rongfang Bie
  • RSTSIC: Reparameterized Swin Transformer Stereo Image Compression Yuxuan Zhao; Junwei Zhou; Jiaxin Li; Cheng Tan; Jianwen Xiang
  • Efficient Subsampling for GNN Downstream Tasks Hirad Daneshvar; Reza Samavi
  • $\delta$-STEAL: LLM Stealing Attack with Local Differential Privacy Kieu Dang; Phung Lai; Hai Phan; yelong shen; Ruoming Jin; Abdallah Khreishah
  • Continual Pre-Training is (not) What You Need in Domain Adaptation Pin-Er Chen; Da Chen Lian; Shu-Kai Hsieh; SIEH-CHUEN HUANG; Hsuan-Lei Shao; Jun Wei Chiu; Yang-Hsien Lin; Zih-Ching Chen; Cheng-Kuang Lee; Eddie Tzungchi Huang; Simon See
  • Deviation-based multiple coefficient item mixer for heterogeneous set-to-set matching Hirotaka Hachiya; Kajishiro Yukito
  • CAD-HLLM: Generating Executable CAD from Text with Hierarchical LLM Planning Zhuo Zuo; Yantao Gan; Junfeng Long; Xianggen Liu
  • SEMINAR: SEMantic InformatioN Augmented JailbReak Attack in LLM Junjie Yang; Fenghua Weng; Yue Xu; Wenjie Wang
  • Iterative Selection with Self-Review  for Vocabulary Test Distractor Generation Yu-Cheng Liu; An-Zi Yen
  • Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity Hanyang LI; Hong Xie; Defu Lian
  • Target Return Optimizer for Multi-Game Decision Transformer Kensuke Tatematsu; Akifumi Wachi
  • ReSa2: A Two-Stage Retrieval-Sampling Algorithm for Negative Sampling in Dense Retrieval Muyang Li; Zihan Wang; Sijia Chen; Yijun Chen; Jiayu Li; yimingqiao; Xinyi Li; Ji Bo
  • Jailbreak Defense in LLM via Attention Head Analysis and Selective Intervention Masaki Arai; Toshiki Shibahara; Daiki Chiba; Mitsuaki Akiyama; Masato Uchida
  • Local Shuffled Skeleton Position Embedding Vision Transformer for Human Activity Recognition Zihui Yan; Xiyu Shi; Varuna De SIlva De SIlva
  • TLSD: Breaking the Limit of Topological Lane Mapping with Graph Knowledge and Distance Awareness Anh Nguyen Trong; Gia-Bao Phan; Minh Tri Huynh; Duc Dung Nguyen
  • Data-Centric Graph Condensation via Diffusion Matching Hengrui Zhang; Philip S. Yu
  • Kernel-Based Enhanced Oversampling Method for Imbalanced Classification Li Wenjie; Hanlin WANG; Sibo Zhu; Zhijian Li
  • The Great Contradiction Showdown: How Jailbreak and Stealth Wrestle in Vision-Language Models? Ching-Chia Kao; Chia-Mu Yu; Chun-Shien Lu; Chu-Song Chen
  • Multi-view Privileged Information-based Representation Learning for Liver Cancer Classification Bangming Gong; Huo Yan
  • Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing Jiangfeng Sun; SiHao He; Yanlong Lin; Zhonghong Ou; Meina Song
  • FIRM: Fusion-Injected Residual Memory Brings Token-Level Alignment to Unsupervised VI-ReID ZeRong; Shen xiaofeng; Haoyang Qin; Yue Xu; Li hongjun; Lei Ma
  • Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence Shunta Nonaga; Koji Tabata; Yuta Mizuno; TAMIKI KOMATSUZAKI