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Volume 304: The 17th Asian Conference on Machine Learning, 9-12 December 2025, HNBK International Convention Center, Taipei, Taiwan

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Editors: Hung-yi Lee, Tongliang Liu

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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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1-16

Activation Steering Meets Preference Optimization: Defense Against Jailbreaks in Vision Language Model

Sihao Wu, Gaojie Jin, Wei Huang, Jianhong Wang, Xiaowei Huang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:17-32

Iterative Selection with Self-Review for Vocabulary Test Distractor Generation

Yu-Cheng Liu, An-Zi Yen; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:33-48

Multi-thresholding Good Arm Identification with Bandit Feedback

Xuanke Jiang, Sherief Hashima, Kohei Hatano, Eiji Takimoto; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:49-64

Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection

Pei-Kang Lee, Jun-Cheng Chen, Ja-ling Wu; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:65-80

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:81-96

Target Return Optimizer for Multi-Game Decision Transformer

Kensuke Tatematsu, Akifumi Wachi; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:97-112

AHSG: Adversarial Attack on High-level Semantics in Graph Neural Networks

Kai Yuan, Jiahao Zhang, Yidi Wang, pei Xiaobing; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:113-128

Deviation-based multiple coefficient item mixer for heterogeneous set-to-set matching

Hirotaka Hachiya, Kajishiro Yukito; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:129-144

Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning

Ziyu Wang, Ping-Chun Hsieh, Yu-Shuen Wang, Yun-Hsuan Lien; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:145-160

Both Asymptotic and Non-Asymptotic Convergence of Quasi-Hyperbolic Momentum using Increasing Batch Size

Kento Imaizumi, Hideaki Iiduka; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:161-176

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:177-192

Emergence of the Primacy Effect in Structured State-Space Models

Takashi Morita; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:193-206

Overcoming Domain Knowledge Forgetting in Continual Test-Time Adaptation via Siamese Networks

Zhihong Xu, Wenjun Shi, Dongchen Zhu, Xiaolin Zhang, Lei Wang, Jiamao Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:207-222

Multi-play Multi-armed Bandits with Shareable Arm Capacities Revisited: Settling Scarce Capacity

Hanyang LI, Hong Xie, Defu Lian; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:223-238

Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size

Kanata Oowada, Hideaki Iiduka; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:239-254

JurisGraph Insight Engine 1.0v: A Legal Question Answering System Based on Large Language Models and Knowledge Graphs

Haiguang Zhang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:255-270

Information-Based Exploration via Random Features for Reinforcement Learning

Waris Radji, Odalric-Ambrym Maillard; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:271-286

Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum

Keisuke Kamo, Hideaki Iiduka; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:287-302

Beyond UDA: Examining Temporal and Frequency Representations in Time Series Transfer

Ching Chieh Tsao, Fang-Yi Su, Jung-Hsien Chiang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:303-318

Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning

Adrien Prevost, Timothée Mathieu, Odalric-Ambrym Maillard; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:319-334

Balancing Knowledge Updates: Toward Unified Modular Editing in LLMs

Jiahao Liu, Zijian Wang, Zhao Kuo, Dong Hu; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:335-350

Jailbreak Defense in LLM via Attention Head Analysis and Selective Intervention

Masaki Arai, Toshiki Shibahara, Daiki Chiba, Mitsuaki Akiyama, Masato Uchida; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:351-366

Enhanced Blind Image Restoration with Channel Attention Transformers and Multi-Scale Attention Prompt-based Learning

Jianhua hu, K. L. Eddie Law; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:367-382

GIIM: A Graph Information Integration Method for Chinese-Kazakh CLIR

Ping Hu, He Yang, Changle Yin, Tao Wang, Yuchao Chen; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:383-398

High-Order Consistency-Guided User Identity Linkage with Large Language Model

Tianpeng Li, Xiangjun Pei, Yinghui Wang, Qiyao Peng, Wenjun Wang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:399-414

Optimizing Trajectory Matching Distillation via Parameter Difference-Driven Pruning

Xinyu Cao, He Liu, Liyuan Zhang, Zhongliang Kan; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:415-430

Local Shuffled Skeleton Position Embedding Vision Transformer for Human Activity Recognition

Zihui Yan, Xiyu Shi, Varuna De SIlva De SIlva; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:431-446

Data-Centric Graph Condensation via Diffusion Matching

Hengrui Zhang, Philip S. Yu; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:447-462

Graph-Attention Network with Adversarial Domain Alignment for Robust Cross-Domain Facial Expression Recognition

Razieh Ghaedi, AmirReza BabaAhmadi, Reyer Zwiggelaar, Xinqi Fan, Nashid Alam; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:463-478

FeelNet: A Lightweight Fast Fourier Transform EEG-based Emotion Recognition Network

Xueyao Wang, Xiuding Cai, Yaoyao Zhu, Yu Yao; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:479-494

Graph Mediator Networks Bridging Local and Global Semantics via Serial Message Passing

Jiangfeng Sun, SiHao He, Yanlong Lin, Zhonghong Ou, Meina Song; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:495-510

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:511-526

Sampling Boundary for Causal Effect Estimation

Yue Yin, Jiaoyun Yang, Ning An, Lian Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:527-542

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:543-557

POIL:Preference Optimization for Imitation Learning

Kuanyen Liu, Renjyun Huang, Chang Chih Meng, I-Chen Wu; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:558-573

Outcome-Based Semifactuals for Reinforcement Learning

Yanzhe Bekkemoen, Helge Langseth; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:574-589

MKD: Multi-Knowledge Distillation for Real-Time Object Detection on Edge Devices

Yanjun Xu, Chunqi Tian, Xuhui Xia, Yaoru Sun; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:590-605

Boundary-Aware Refinement with Environment-Robust Adapter Tuning for Underwater Instance Segmentation

Pin-Chi Pan, Soo-Chang Pei; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:606-621

$δ$-STEAL: LLM Stealing Attack with Local Differential Privacy

Kieu Dang, Phung Lai, Hai Phan, yelong shen, Ruoming Jin, Abdallah Khreishah; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:622-637

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:638-653

Data-dependent Algorithmic Robustness Analysis of Pairwise Learning

Donglai WU, Runqiu Wu, Yunwen Lei; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:654-669

TAEGAN: Revisit GANs for Tabular Data Generation

Jiayu Li, Zilong Zhao, Kevin Yee, Uzair Javaid, Biplab Sikdar; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:670-685

ReSa2: A Two-Stage Retrieval-Sampling Algorithm for Negative Sampling in Dense Retrieval

Muyang Li, Zihan Wang, Sijia Chen, Yijun Chen, Jiayu Li, Yiming Qiao, Xinyi Li, Bo Ji; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:686-701

Reduced-rank Factorized Fourier Neural Operator

Chieh-An Chou, Lu-Hung Chen; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:702-717

Policy Iteration for Two-Player General-Sum Stochastic Stackelberg Games

Mikoto Kudo, Youhei Akimoto; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:718-733

Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems

Akira Osaka, Naoya Takeishi, Takehisa Yairi; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:734-749

Mega-CE$^2$ : A Multimodal Heterogeneous Aggregation Framework for End-Edge-Cloud Computing

Zinuo Cheng, Haodi Wang, Rongfang Bie; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:750-765

RSTSIC: Reparameterized Swin Transformer Stereo Image Compression

Yuxuan Zhao, Junwei Zhou, Jiaxin Li, Cheng Tan, Jianwen Xiang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:766-781

Dual-Module Collaborative LoRA for Effective Large Language Model Fine-Tuning

Lecheng Cao, Junhao Zhang, Xiaohan Zhang, Huaxiong Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:782-797

Dual Color Space Underwater Image Enhancement Network

Jiaying He, K. L. Eddie Law; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:798-813

On the Privacy-preserving Generalized Eigenvalue Problem

Wei-Hong Chen, YU-FENG HUANG, Chen Yu Lee, Hung Yi Chen, Shi-Chun Tsai; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:814-829

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:830-845

CrossPyEval: Enhancing LLM-based Evaluation of Low-Resource Code via Code Translation

Weijie Wu, Ling-I Wu, Guoqiang Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:846-861

Kernel-Based Enhanced Oversampling Method for Imbalanced Classification

Li Wenjie, Hanlin WANG, Sibo Zhu, Zhijian Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:862-877

Explainable Dynamic Graph Neural Networks for Predictive Maintenance in Vehicle Chassis Systems

Wu You, Junwei SU, Sirui ZHANG, Zhijian Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:878-893

SparseSegNet: A Boundary-Aware Lightweight Segmentation Architecture for Skin Lesions

Soma Dasgupta, Swarnava Dey, Arijit Mukherjee, Arpan Pal; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:894-909

HIPPD: Brain-Inspired Hierarchical Information Processing for Personality Detection

Guanming Chen, Lingzhi Shen, Xiaohao Cai, Imran Razzak, Shoaib Jameel; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:910-925

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:926-941

Multi-view Privileged Information-based Representation Learning for Liver Cancer Diagnosis

Bangming Gong, Huo Yan; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:942-957

CAD-HLLM: Generating Executable CAD from Text with Hierarchical LLM Planning

Zhuo Zuo, Yantao Gan, Junfeng Long, Xianggen Liu; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:958-973

SAFE: Spiking Neural Network-based Audio Fidelity Evaluation

Aaditya Arunkumar Khant, Raveen Wijewickrama, Murtuza Jadliwala; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:974-989

Towards Robust and Scalable Knowledge Editing in Text-to-Image Diffusion Models

YiFei Liu, Xin Wang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:990-1005

ChameleonBench: Quantifying Alignment Faking in Large Language Models

Archie Chaudhury, Shikhar Shiromani; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1006-1021

EIKEA:Enhancing In-Context Knowledge Editing by Agents

Zibo Xu, Xin Wang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1022-1037

Training Data Soft Selection via Joint Density Ratio Estimation

Ryuta Matsuno; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1038-1053

MagicMask: A Fast and High-fidelity Face Swapping Method Robust to Face Pose

Jongmin Yu, Anoushka Harit, Jiankang Deng, Shan Luo, Jinhong Yang, Zhongtian Sun; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1054-1069

Efficient Subsampling for GNN Downstream Tasks

Hirad Daneshvar, Reza Samavi; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1070-1085

SEMINAR: SEMantic InformatioN Augmented JailbReak Attack in LLM

Junjie Yang, Fenghua Weng, Yue Xu, Wenjie Wang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1086-1101

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1102-1117

Label-Perceptive Adversarial Domain Adaptation for Named Entity Recognition in Traditional Chinese Medicine: Dataset and Approach

Yu Tong; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1118-1133

FIRM: Fusion-Injected Residual Memory Brings Token-Level Alignment to Unsupervised VI-ReID

Ze Rong, Xiaofeng Shen, Haoyang Qin, Yue Xu, Hongjun Li, Lei Ma; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1134-1149

Direct Quantized Training of Language Models with Stochastic Rounding

Kaiyan Zhao, Tsuguchika Tabaru, Kenichi Kobayashi, Takumi Honda, Masafumi Yamazaki, Yoshimasa Tsuruoka; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1150-1165

Bridging the Gap between Learning and Inference for Diffusion-Based Molecule Generation

Peidong Liu, Wenbo Zhang, Wei Ju, Jiancheng Lv, Xianggen Liu; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1166-1181

Risk-Averse Best Arm Set Identification with Fixed Budget and Fixed Confidence

Shunta Nonaga, Koji Tabata, Yuta Mizuno, TAMIKI KOMATSUZAKI; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1182-1197

KVCrush: Key Value Cache size-reduction using similarity in head-behaviour

Gopi Krishna Jha, Sameh Gobriel, Liubov Talamanova, Nilesh Jain; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1198-1213

Suicidal Posts Detection System Incorporating Psychological Risk Factors

Chih-Ning Chen, Chieh-Jou Lin, Kunhua Lee, Yu Ping Ma, Kuo-Liang Ou, Daw-Wei Wang; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1214-1229

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; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1230-1245

Learning Curves of Classification Metrics based on Confusion Matrices

Yan Xue, Ruibo Wang, Xuefei Cao, Jing Yang, Jihong Li; Proceedings of the 17th Asian Conference on Machine Learning, PMLR 304:1246-1261

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