ACML 2024

86 papers

A More Efficient Inference Model for Multimodal Emotion Recognition Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin

A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification Yu Yifan, Wang Dazhi, Chen Yanhua, Wang Hongfeng, Huang Min

A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang

A Single-Stage Multi-Style License Plate Recognition Method Based on Attention Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan

Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images Without Local Re-Training Yangwenjian Tan, Yikai Yan, Chaoyue Niu

AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement Zhishuo Zhao, Dongyue Guo, Wenjie Ou, Hong Liu, Yi Lin

An Efficient Query Optimization Framework Based on MCTS and LTR Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren

Analyzing Diffusion Models on Synthesizing Training Datasets Shin’ya Yamaguchi

Causal ATTention Multiple Instance Learning for Whole Slide Image Classification Xiaochun Wu, Haitao Wang, Hejun Wu

Chain Association-Based Attacking and Shielding Natural Language Processing Systems JiaCheng Huang, Long Chen

Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation Shixiong Jing, Lingwei Chen, Dinghao Wu

ColorMamba: Towards High-Quality NIR-to-RGB Spectral Translation with Mamba Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang

Combinatorial Causal Bandits Without Graph Skeleton Shi Feng, Nuoya Xiong, Wei Chen

Constrained Implicit Learning Framework for Neural Network Sparsification Alicia Y. Tsai, Wenzhi Gao, Laurent Ghaoui

Constructing a Knowledge-Guided Mental Health Chatbot with LLMs Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen

Convergence Analysis of Inexact Over-Relaxed ADMM via Dissipativity Theory Qiang Zhou, Sinno Jialin Pan

Counterfacual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao

Countering Relearning with Perception Revising Unlearning Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu

Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting Yuanyang Yin, Baoqun Yin

DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure Junyi Ye, Mengnan Du, Guiling Wang

DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Gao

Differentially Private Deep Learning with Importance-Based Adaptive Gradient Processing Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang

Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng, Yoshiyuki Kabashima

Diffusion-Based Adversarial Attack to Automatic Speech Recognition Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu

Dude: Dual Distribution-Aware Context Prompt Learning for Large Vision-Language Model Duy Minh Ho Nguyen, An Thai Le, Trung Quoc Nguyen, Nghiem Tuong Diep, Tai Nguyen, Duy Duong-Tran, Jan Peters, Li Shen, Mathias Niepert, Daniel Sonntag

Enhancing Aspect Sentiment Quad Prediction Through Dual-Sequence Data Augmentation and Contrastive Learning Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang

Enhancing DETRs for Small Object Detection via Multi-Scale Refinement and Query-Aided Mining Sisi Fu, Zhiming Chen, Xiaocheng Fang, Jieyi Cai, Huanyu Liu, Huosheng Wen, Bingzhi Chen

Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models Mengliang He, Aimin Zhou, Xiaoming Shi

EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan, Dixant Mittal, Wee Sun Lee

Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL Nicolas Bougie, Narimasa Watanabe

Fairness and Privacy Guarantees in Federated Contextual Bandits Sambhav Solanki, Shweta Jain, Sujit Gujar

Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance Yudai Yamamoto, Satoshi Hara

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity Zaipeng Xie, Li Likun, Xiangbin Chen, Hao Yu, Qian Huang

FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu, Peng Li, Xuefeng Jiang

FedLTF: Linear Probing Teaches Fine-Tuning to Mitigate Noisy Labels in Federated Learning Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji

FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion Shuqiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yan, Xincheng Lin, Shuqi Fan, Siqi Shen

Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang

GRU-M: A Joint Impute and Learn Approach for Sequential Prediction Under Missing Data Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das

Hierarchical Global Asynchronous Federated Learning Across Multi-Center Wei Xie, Runqun Xiong, Junzhou Luo

HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang

How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou

I Mean I Am a Mouse: Meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models Yunzhe Liu, Xinyi Xu

Improve Diverse Commonsense Generation by Enhancing Subgraphs Jianman Tan, Shuo Yang

InfantCryNet: A Data-Driven Framework for Intelligent Analysis of Infant Cries Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yuanfeng Song, Di Jiang

IST-YOLO: Infrared Small Target Detector Based on Improved YOLOv8 Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang

Joint Learning of Gaussian Graphical Models in Heterogeneous Dependencies of High-Dimensional Transcriptomic Data Dung Ngoc Nguyen, Zitong Li

Knowledge Graph Large Language Model (KG-LLM) for Link Prediction Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang

LabelPrompt: Effective Prompt-Based Learning for Relation Classification Wenjie Zhang, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiaojun Wu

Large Vision-Language Models as Emotion Recognizers in Context Awareness Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang

LPNER: Label Prompt for Few-Shot Nested Named Entity Recognition Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An

Membership Inference Attacks Against Time-Series Models Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash

Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics Zixi Jia, Hongbin Gao, Hexiao Li

MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages Through Adapter Structures JiaJun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin

MLP-Mixer Based Surrogate Model for Seismic Ground Motion with Spatial Source and Geometry Parameters Hirotaka Hachiya, Yuto Kuroki, Asako Iwaki, Takahiro Maeda, Naonori Ueda, Hiroyuki Fujiwara

Motion Meets Attention: Video Motion Prompts Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon

Multi-Level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan

Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction Liangjun Wang, Meixin Wang

Multi-Task Network Guided Multimodal Fusion for Fake News Detection Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang

Multilevel Position-Aware Attention Enhanced Network for Skeleton-Based Action Recognition Dandan Zhang, Jia Wang, Sicong Zhan

Non-Oblivious Performance of Random Projections Maciej Skorski, Alessandro Temperoni

On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao

On the Sample Complexity of Privately Learning Half-Spaces Yi Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai

One-Shot Machine Unlearning with Mnemonic Code Tomoya Yamashita, Masanori Yamada, Takashi Shibata

Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong, Mingkun Xu

Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence Vencia Herzog, Stefan Suwelack

PISDR: Page and Item Sequential Decision for Re-Ranking Based on Offline Reinforcement Learning Zheng Yuan, Qian Wan, Tao Zhang, Chengfu Huo

Preserving Spatial-Temporal Relationship with Adaptive Node Sampling in Hierarchical Dynamic Graph Transformers Linh Thi Hoang, Tuan Dung Pham, Son T. Mai, Viet Cuong Ta

Prompting Vision-Language Fusion for Zero-Shot Composed Image Retrieval Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su

RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang

Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang

Rethinking Literary Plagiarism in LLMs Through the Lens of Copyright Laws Huachen Tan, Moming Duan, Duo Liu, Haojie Lu, Yuexin Mu, Longyi Zhou, Ao Ren, Yujuan Tan, Kan Zhong

Robust Multi-Agent Reinforcement Learning for Autonomous Vehicle in Noisy Highway Environments Lilan Lin, Xiaotong Nie, Jian Hou

Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior Giang Ngo, Dang Nguyen, Sunil Gupta

Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation Across Methods and Metrics Hanwei Zhang, Felipe Torres Figueroa, Holger Hermanns

SceneWeaver: Text-Driven Scene Generation with Geometry-Aware Gaussian Splatting Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang, Ziyun Qian, Lihua Zhang

The Data-Driven Transferable Adversarial Space Yuan Liu, Stephane Canu

Toward Data Efficient Model Merging Between Different Datasets Without Performance Degradation Masanori Yamada, Tomoya Yamashita, Shin’ya Yamaguchi, Daiki Chijiwa

Towards Calibrated Losses for Adversarial Robust Reject Option Classification Vrund Shah, Tejas Kiran Chaudhari, Naresh Manwani

Towards Robust Saliency Maps Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng

TSMCR: Two-Stage Supervised Multi-Modality Contrastive Representation for Ultrasound-Based Breast Cancer Diagnosis Bangming Gong

Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations Junhao Liu, Siwei Xu, Dylan Riffle, Ziheng Duan, Martin Renqiang Min, Jing Zhang

Universal Video Face Restoration Method Based on Vision-Language Model Yipiao Xu, Zhenbo Song, Jianfeng Lu

Visible-Infrared Person Re-Indentification via Feature Fusion and Deep Mutual Learning Ziyang Lin, Banghai Wang

Vision Transformer with High Spatial Structure Sensitivity Zhiwei Xu

When and How to Grow? on Efficient Pre-Training via Model Growth Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai

Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun Song