CONFERENCE SCHEDULE

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Time	Event	Location
Wednesday, December 4th 2024
17:00 - 18:00	Information Desk	Vietnam National Fine Arts Museum
18:00 - 20:00	Welcome Reception
Thursday, December 5th 2024
7:00 - 8:00	Bus from city center to VinUniversity Melia Hotel at 7:00 AM Hanoi Opera House at 7:15 AM	Melia Hotel Hanoi Opera House
8:00 - 9:00	Registration	Hall outside E403
9:00 - 9:30	Welcome Speech	E403
9:30 - 10:30	Plenary session #01 "AI Superhuman Reasoning for Math and beyond" Dr. Thang Luong, Google DeepMind Session chair: Prof. Wray Buntine
10:30 - 11:00	Coffee break
11:00 - 12:00	Plenary session #02 "Learning as Distribution Matching: A Perspective through Optimal Transport" Prof. Dinh Phung, Monash University Session chair: Dr. Vu Nguyen
12:00 - 13:30	Lunch break (lunch boxes will be provided)	I201 and Hall outside I201
	Poster presentation session #01
13:30 - 15:00	Oral presentation session #1 Session chair: Arun Kumar Sivapuram journal-73: Active Model Selection: A Variance Minimization Approach Satoshi Hara, Mitsuru Matsuura, Junya Honda, Shinji Ito conference-182: Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior Giang Ngo, Dang Nguyen, Sunil Gupta journal-10: Probabilistic Instance Dependent Label Refinement for Noisy Label Learning Hao-Yuan He, Yu Liu, Ren-Biao Liu, Zheng Xie, Ming Li journal-26: Semantic-Aware Contrastive Learning via Multi-Prompt Alignment Zhuoran Zhao, Hao Qin, Ming Kong, Luyuan Chen, Di Xie, Jiang Zhu, Qiang Zhu conference-55: Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL Nicolas Bougie, Narimasa Watanabe journal-99: Adaptive Adapter Routing for Long-Tailed Class-Incremental Learning Zhi-Hong Qi, Da-Wei Zhou, Yiran Yao, Han-Jia Ye, De-Chuan Zhan journal-125: ArithmeticGPT: Empowering Small-size Large Language Models with Advanced Arithmetic Skills Zitao Liu, Ying Zheng, Zhibo Yin, Jiahao Chen, Tianqiao Liu, Mi Tian, Weiqi Luo conference-289: Causal Attention Multiple Instance Learning for Whole Slide Image Classification Xiaochun Wu, Haitao Wang, Hejun Wu	E402
	Oral presentation session #2 Session chair: Khoa Doan conference-20: A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification Yu Yifan, Wang Dazhi, Chen Yanhua, Wang Hongfeng, Huang Min conference-25: A More Efficient Inference Model for Multimodal Emotion Recognition Liang Jia, Jin Tan, Lijin Qi, Mingwen Lin journal-65: Gradient-based Causal Discovery with Latent Variables Haotian Ni, Tian-Zuo Wang, Hong Tao, Xiuqi Huang, Chenping Hou journal-80: Dual-view Data Augmentation at Subgraph Level and Graph Contrastive Learning for Sequential Recommendation Caihong Mu, Haikun Yu, Lang Qin, Yi Liu journal-119: Commonsense Knowledge Enhanced Event Graph Representation Learning for Script Event Prediction Xiang Li, Xinxi Jiang, Qifeng Zhou journal-127: Robust Query Performance Prediction for Dense Retrievers via Adaptive Disturbance Generation Abbas Saleminezhad, Negar Arabzadeh, Radin Hamidi Rad, Soosan Beheshti, Ebrahim Bagheri conference-350: An Efficient Query Optimization Framework Based on MCTS and LTR Chaofan Zhao, Yize Sui, Ruochun Jin, Jing Ren conference-364: LabelPrompt: Effective prompt-based learning for relation classification Wenjie Zhang, Xiaoning Song, Zhenhua Feng, Tianyang Xu, Xiaojun Wu	E403
	Oral presentation session #3 Session chair: Hsuan-Tien Lin journal-136: Sandbox: Safeguarded Multi-label Learning through Safe Optimal Transport Lefei Zhang, Geng Yu, Jiangchao Yao, Yew-soon Ong, Ivor W. Tsang, James T. Kwok conference-207: Counterfactual Fairness for Graph Neural Networks with Limited and Privacy Protected Sensitive Attributes Xuemin Wang, Lei Wang, Tianlong Gu, Xuguang Bao journal-22: Efficient Federated Unlearning under Plausible Deniability Ayush K. Varshney, Vicenç Torra journal-72: Scalable Individual Treatment Effect Estimator for Large Graphs Xiaofeng Lin, Han Bao, Yan Cui, Koh Takeuchi, Hisashi Kashima conference-92: One-Shot Machine Unlearning with Mnemonic Code Tomoya Yamashita, Masanori Yamada, Takashi Shibata journal-120: PT4Rec: A Universal Prompt-Tuning Framework for Graph Contrastive Learning-Based Recommendations Wei Xiao, Qifeng Zhou conference-310: FedLTF: Linear Probing Teaches Fine-tuning to Mitigate Noisy Labels in Federated Learning Shaojie Zhan, Lixing Yu, Hanqi Chen, Tianxi Ji conference-371: Countering Relearning with Perception Revising Unlearning Chenhao Zhang, Weitong Chen, Wei Emma Zhang, Miao Xu	E305
15:00 - 15:30	Coffee break
15:30 - 17:00	Oral presentation session #4 Session chair: Po-Yi Lu conference-125: Understanding Transcriptional Regulatory Redundancy by Learnable Global Subset Perturbations Junhao Liu, Siwei Xu, Dylan Riffle, Zineng Duan, Martin Rengiang Min, Jing Zhang journal-29: ShuttleFlow: Learning the Distribution of Subsequent Badminton Shots using Normalizing Flows Yun-Hsuan Lien, Chia-Tung Lian, Yu-Shuen Wang conference-128: A Retrieval-Augmented Contrastive Framework for Legal Case Retrieval Based on Event Information Changyong Fan, Nankai Lin, Dong Zhou, Yongmei Zhou, Aimin Yang journal-128: Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis Xin Zhang, Deval Mehta, Yanan Hu, Chao Zhu, David Darby, Zhen Yu, Daniel Merlo, Melissa Gresle, Anneke van der Walt, Helmut Butzkueven, Zongyuan Ge conference-243: GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data Soumen Pachal, Avinash Achar, Nancy Bhutani, Akash Das conference-303: HiRAG: A Historical Information-Driven Retrieval-Augmented Generation Framework for Background Summarization Dong Zhou, Binli Zeng, Nankai Lin, Yongmei Zhou, Aimin Yang	E402
	Oral presentation session #5 Session chair: Le Duy Dung conference-236: ColorMamba: Towards High-quality NIR-to-RGB Spectral Translation with Mamba Huiyu Zhai, Guang Jin, Xingxing Yang, Guosheng Kang conference-381: Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting Yuanyang Yin, Baoqun Yin conference-66: Multi-level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan journal-111: Re-assessing Accuracy Degradation: A Framework for Understanding DNN Behavior on Similar-but-non-identical Test Datasets Esla Timothy Anzaku, Haohan Wang, Ajiboye Babalola, Arnout Van Messem, Wesley De Neve conference-164: DataFrame QA: A Universal LLM Framework on DataFrame Question Answering Without Data Exposure Junyi Ye, Mengnan Du, Guiling Wang conference-201: Pic@Point: Cross-Modal Learning by Local and Global Point-Picture Correspondence Vencia Herzog, Stefan Suwelack conference-344: 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 conference-349: Orchestrating Plasticity and Stability: A Continual Knowledge Graph Embedding Framework with Bio-Inspired Dual-Mask Mechanism Ailin Song, Yuhong Chen, Yusong Wang, Shuai Zhong	E403
	Oral presentation session #6 Session chair: Satoshi Hara conference-8: Constrained Implicit Learning Framework for Neural Network Sparsification Alicia Y. Tsai, Wenzhi Gao, Laurent Ghaoui conference-348: On Learning Frequency-Instance Correlations by Model-Agnostic Training for Synthetic Speech Detection Zining Wang, Lijian Gao, Jialin Zhang, Qirong Mao journal-1: On the Convergence Analysis of Over-Parameterized Variational Autoencoders: A Neural Tangent Kernel Perspective Li Wang, Wei Huang journal-25: HorNets: Learning from Discrete and Continuous Signals with Routing Neural Networks Boshko Koloski, Nada Lavrac, Blaz Skrlj journal-28: Let the Noise Flow Away: Combating Noisy Labels using Normalizing Flows Kuan-An Su, YiHao Su, Yun-Hsuan Lien, Yu-Shuen Wang conference-30: How Classification Baseline Works for Deep Metric Learning: A Perspective of Metric Space Yuanqu Mou, Zhengxue Jian, Haiyang Bai, Chang Gou conference-72: 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 conference-103: Analyzing Diffusion Models on Synthesizing Training Datasets Shin'ya Yamaguchi	E305
17:00 - 18:00	Bus leaves VinUniversity at 17:15	1st floor, Building E
Friday, December 6th 2024
07:00 - 08:00	Bus from city center to VinUniversity Melia Hotel at 7:00 AM Hanoi Opera House at 7:15 AM	Melia Hotel Hanoi Opera House
08:00 - 08:30	Registration	Hall outside E403
08:30 - 10:00	Oral presentation session #7 Session chair: Duy H. M. Nguyen conference-188: Diffusion Model Based Posterior Sampling for Noisy Linear Inverse Problems Xiangming Meng, Yoshiyuki Kabashima conference-132: FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity Zaipeng Xie, Li Likun, Xiangbin Chen, Hao Yu, Qian Huang conference-65: Differentially Private Deep Learning with Importance-based Adaptive Gradient Processing Ping Li, Mingwei Liang, Zhao Jiang, Jun Zhang conference-127: IST-YOLO: Infrared Small Target Detector based on Improved YOLOv8 Ruoyu Wang, Bicao Li, Bei Wang, Danting Niu, Yongzhao Wang conference-131: Enhancing Aspect Sentiment Quad Prediction through Dual-Sequence Data Augmentation and Contrastive Learning Shihao Li, Nankai Lin, Pinmo Wu, Dong Zhou, Aimin Yang conference-248: Multi-Task Network Guided Multimodal Fusion for Fake News Detection Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang conference-342: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement Jinhong He, Minglong Xue, Aoxiang Ning, Chengyun	E402
	Oral presentation session #8 Session chair: Abigail Goldsteen journal-42: Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification Qizao Wang, Xuelin Qian, Bin Li, Xiangyang Xue journal-55: Learning to Rank Aspects and Opinions for Comparative Explanations Trung-Hoang Le, Hady W. Lauw journal-81: Enhanced Route Planning with Calibrated Uncertainty Set Lingxuan Tang, Rui Luo, Zhixin Zhou, Nicolo Colombo journal-106: Warping Resilient Robust Anomaly Detection for Multivariate Time Series Abilasha S, Sahely Bhadra journal-130: Gender Disentangled Representation Learning in Neural Rankers Shirin Seyedsalehi, Sara Salamat, Negar Arabzadeh, Sajad Ebrahimi, Morteza Zihayat, Ebrahim Bagheri conference-281: 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 conference-308: TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis Bangming Gong conference-353: Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation Shixiong Jing, Lingwei Chen, Dinghao Wu	E403
	Oral presentation session #9 Session chair: Mai Tan Ha journal-77: SketchMLP: Effectively Utilize Rasterized Images and Drawing Sequences for Sketch Recognition Tengjie Li, Shikui Tu, Lei Xu conference-180: Motion meets Attention: Video Motion Prompts Qixiang Chen, Lei Wang, Piotr Koniusz, Tom Gedeon conference-52: Large Vision-Language Models as Emotion Recognizers in Context Awareness Yuxuan Lei, Dingkang Yang, Zhaoyu Chen, Jiawei Chen, Peng Zhai, Lihua Zhang conference-138: A Single-Stage Multi-Style License Plate Recognition Method Based on Attention Longbin Wu, Sen Liu, Yufei Xie, Haowei Lee, Xiaohui Duan conference-156: Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model Longfei Huang, Xiangyu Wu, Jingyuan Wang, Weili Guo, Yang Yang conference-197: Prompting vision-language fusion for Zero-Shot Composed Image Retrieval Peng Wang, Zining Chen, Zhicheng Zhao, Fei Su conference-213: Vision Transformer with High Spatial Structure Sensitivity Zhiwei Xu conference-363: SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting Xiaolu Hou, Mingcheng Li, Jiawei Chen, Dingkang Yang	E305
10:00 - 10:30	Coffee break
10:30 - 12:00	Oral presentation session #10 Session chair: Hady W. Lauw conference-352: Towards Calibrated Losses for Adversarial Robust Reject Option Classification VRUND SHAH, Tejas Kiran Chaudhari, Naresh Manwani conference-317: Convergence Analysis of Inexact Over-relaxed ADMM via Dissipativity Theory Qiang Zhou, Sinno Jialin Pan journal-7: Concentration properties of fractional posterior in 1-bit matrix completion The Tien Mai journal-30: Knoop: Practical Enhancement of Knockoff with Over-Parameterization for Variable Selection Xiaochen Zhang, Yunfeng Cai, Haoyi Xiong conference-270: Multilevel Position-aware Attention Enhanced Network for Skeleton-Based Action Recognition Dandan Zhang, Jia Wang, Sicong Zhan conference-334: Non-Oblivious Performance of Random Projections Maciej Skorski, Alessandro Temperoni conference-351: Fairness and Privacy Guarantees in Federated Contextual Bandits Sambhav Solanki, Shweta Jain, Sujit Gujar	E402
	Oral presentation session #11 Session chair: Hsuan-Tien Lin journal-14: Misclassification bounds for PAC-Bayesian sparse deep learning The Tien Mai journal-66: Optimizing Sharpe Ratio: Risk-Adjusted Decision-Making in Multi-Armed Bandits Sabrina Khurshid, Mohammed Shahid Abdulla, Gourab Ghatak conference-36: Visible-Infrared Person Re-Identification via Feature Fusion and Deep Mutual Learning Ziyang Lin, Banghai Wang journal-90: Per-Example Gradient Regularization Improves Learning Signals from Noisy Data Xuran Meng, Yuan Cao, Difan Zou conference-97: Combinatorial Causal Bandits without Graph Skeleton Shi Feng, Nuoya Xiong, Wei Chen conference-99: Constructing a Knowledge-Guided Mental Health Chatbot with LLMs Xi Fan, Lishan Yang, Xiangyu Wang, Derui Lyu, Huanhuan Chen conference-240: LPNER: Label Prompt for Few-shot Nested Named Entity Recognition Jiaoyun Yang, Zhihan Zhu, Hong Ming, Lili Jiang, Ning An conference-256: FTP: A Human Pose Estimation Method Integrating Temporal and Fine-Grained Feature Fusion Shugiang Cai, Chennan Ma, Xin Wang, Li Lin, Ming Yi	E403
	Oral presentation session #12 Session chair: Rui Luo journal-34: Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift Oscar Blessed Deho, Michael Bewong, Selasi Kwashie, Jiuyong Li, Jixue Liu, Lin Liu, Srecko Joksimovic journal-117: Artificial Intelligence for Laryngoscopy in Vocal Fold Diseases: A Review of Dataset Technology and Ethics Thao Thi Phuong Dao, Tan-Cong Nguyen, Viet-Tham Huynh, Xuan-Hai Bui, Trung-Nghia Le, Minh-Triet Tran conference-102: Membership Inference Attacks Against Time-Series Models Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash journal-115: Schema-Tune: Noise-Driven Bias Mitigation in Transformer-based Language Models Omid Shokrollahi, Ruthvik Penumatcha, Faezeh Ensan, Zeinab Noorian journal-122: Verification on Out-of-Distribution Detectors under Natural Perturbations Chi Zhang, Zhen Chen, Peipei Xu, Geyong Min, Wenjie Ruan conference-130: MLCL: A Framework for Reducing Language Imbalance in Sino-Tibetan Languages through Adapter Structures JiaJun Fang, Wentao Huang, Aimin Yang, Dong Zhou, Nankai Lin conference-265: Diffusion-based Adversarial Attack to Automatic Speech Recognition Ying Wang, Yuchuan Luo, Shaojing Fu, Zhenyu Qiu, Lin Liu conference-267: Chain Association-based Attacking and Shielding Natural Language Processing Systems JiaCheng Huang, Long Chen	E305
12:00 - 13:30	Lunch break (lunch boxes will be provided)	I201 and Hall outside I201
	Poster presentation session #02
13:30 - 14:30	Plenary session #03 "Making Large Language Model’s Knowledge More Accurate, Organized, Up-to-date and Fair" Prof. Heng Ji, University of Illinois Urbana-Champaign Session chair: Prof. Shou-De Lin	E403
14:30 - 15:00	Coffee break
15:00 - 16:30	Oral presentation session #13 Session chair: Shou-de Lin conference-261: Fast Stealthily Biased Sampling Using Sliced Wasserstein Distance Yudai Yamamoto, Satoshi Hara journal-36: SpatioTemporal-View Member Preferences Contrastive Representation Learning for Group Recommendation Yangtao Zhou, Qingshan Li, Hua Chu, Jianan Li, Biaobiao Wei, Shuai Zhang, Jialong Han journal-59: Shift Guided Active Learning Jianan Yang, Jimin Tan, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao conference-190: Enhancing Textbook Question Answering with Knowledge Graph-Augmented Large Language Models Mengliang He, Aimin Zhou, Xiaoming Shi conference-192: On the sample complexity of privately learning half-spaces Yi Hsiang Huang, Wei-Hong Chen, Shi-Chun Tsai conference-326: I Mean I Am a Mouse: Meets for Bilingual Multimodal Meme Sarcasm Classification from Large Language Models yunzhe Liu, Xuxinyi	E402
	Oral presentation session #14 Session chair: The Tien Mai conference-37: 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 conference-284: AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement Zhishuo Zhao, Dongyue Guo, Wenjie Ou, Hong Liu, Yi Lin journal-9: Progressive Semantic Learning for Unsupervised Skeleton-Based Action Recognition Hao Qin, Luyuan Chen, Ming Kong, Zhuoran Zhao, Xianzhou Zeng, Mengxu Lu, Qiang Zhu journal-17: NetTOP: A light-weight network of orthogonal-plane features for image recognition Thanh Tuan Nguyen, Thanh Phuong Nguyen conference-76: Multi-Scale Dual-Attention Unfolding Network for Compressed Sensing Image Reconstruction Liangjun Wang, Meixin Wang journal-135: Learning Global Object-Centric Representations via Disentangled Slot Attention Tonglin Chen, Yinxuan Huang, Zhimeng Shen, Jinghao Huang, Bin Li, Xiangyang Xue conference-302: 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 conference-313: DCoT: Dual Chain-of-Thought Prompting for Large Multimodal Models Zixi Jia, Jiqiang Liu, Hexiao Li, Qinghua Liu, Hongbin Zhang	E403
	Oral presentation session #15 Session chair: Thi Nguyen journal-52: A Survey on Self-Supervised Learning for Non-Sequential Tabular Data Wei-Yao Wang, Wei-Wei Du, Derek Xu, Wei Wang, Wen-Chih Peng conference-285: RedditEM: Unveiling Diachronic Semantic Shifts in Social Network Discourse Jiajun Zou, Sixing Wu, Jinshuai Yang, Minghu Jiang, Yongfeng Huang journal-6: SA-LfV: Self-Annotated Labeling from Videos for Object Detection Arun Kumar Sivapuram, Prashanth Komurevelli, Rama Krishna Sai Gorthi journal-39: A Prompt-Driven Framework for Multi-Domain Knowledge Tracing Zitao Liu, Shuyan Huang, Guo Teng, Mingliang Hou, Qianru Liang journal-47: Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-Training Ke Niu, Haiyang Yu, Xuelin Qian, Teng Fu, Bin Li, Xiangyang Xue journal-58: Capturing the Context-Aware Code Change via Dynamic Control Flow Graph for Commit Message Generation Yali Du, Ying Li, Yi-Fan Ma, Ming Li conference-123: Universal Video Face Restoration Method Based on Vision-Language Model Yipiao Xu, Zhenbo Song, Jianfeng Lu conference-219: Improve Diverse Commonsense Generation by Enhancing Subgraphs Jianman Tan, Shuo Yang	E305
16:30 - 17:30	Bus from VinUniversity to Hanoi Tower for Industry Panel	1st floor, Building E
17:30 - 18:30	Industry panel Theme: Emerging Challenges and Opportunities in Generative AI: Real-World Impact through Responsible, Ethical, and Human-Centric Innovation Moderator: Dr. Le Duy Dung, VinUniversity Panelist: Prof. Heng Ji - Professor, University of Illinois Urbana-Champaign Dr. Nguyen Xuan Phong - Chief AI Officer, FPT Software Mr. Steven Brown, Head of Institutional Sales Department, VPS Securities Dr. Nguyen Kim Anh, Director of Virtual Assistant Technology, VinBigData Dr. Sam Goundar, Senior Lecturer, RMIT Hanoi	Hanoi Tower
18:30 - 20:30	Conference banquet	Hanoi Tower
Saturday, December 7th 2024
07:00 - 08:00	Bus from city center to VinUniversity Melia Hotel at 7:00 AM Hanoi Opera House at 7:15 AM	Melia Hotel Hanoi Opera House
08:00 - 08:30	Registration	Hall outside E403
08:30 - 10:00	Oral presentation session #16 Session chair: Po-Yi Lu conference-117: Towards Robust Saliency Maps Nham Le, Arie Gurfinkel, Xujie Si, Chuqin Geng conference-254: PISDR: Page and Item Sequential Decision for Re-ranking Based on Offline Reinforcement Learning Zheng Yuan, Qian Wan, Tao Zhang, Chengfu Huo conference-336: The data-driven transferable adversarial space Yuan Liu, Stephane Canu conference-81: Adapting the Attention of Cloud-Based Recognition Model to Client-Side Images without Local Re-Training Yangwenjian Tan, Yikai Yan, Chaoyue Niu journal-114: SA-CAM: Semantic-Aware Visual Explanations for Deep Convolutional Networks Anni Yu, Qing-Long Zhang, Lu Rao, Yu-Bin Yang conference-135: Saliency Maps Give a False Sense of Explainability to Image Classifiers: An Empirical Evaluation across Methods and Metrics Hanwei Zhang, Felipe Torres Figueroa, Holger Hermanns conference-255: InfantCryNet: A Data-driven Framework for Intelligent Analysis of Infant Cries Mengze Hong, Chen Jason Zhang, Lingxiao Yang, Yul	E402
	Oral presentation session #17 Session chair: Giang Ngo journal-97: Towards Efficient Pareto-optimal Utility-Fairness between Groups in Repeated Rankings Phuong Dinh Mai, Duc-Trong Le, Tuan-Anh Hoang, Dung D. Le conference-150: Joint learning of Gaussian graphical models in heterogeneous dependencies of high-dimensional transcriptomic data Dung Ngoc Nguyen, Zitong Li conference-199: 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 conference-19: Graph Neural Networks (with Proper Weights) Can Escape Oversmoothing Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang conference-62: Knowledge Graph Large Language Model (KG-LLM) for Link Prediction Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang conference-101: FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu, Peng Li, Xuefeng Jiang conference-160: Hierarchical Global Asynchronous Federated Learning Across Multi-Center Wei Xie, Runqun Xiong, Junzhou Luo	E403
	Oral presentation session #18 Session chair: Vu Nguyen journal-27: Toward Finding Strong Pareto Optimal Policies in Multi-Agent Reinforcement Learning Bang Giang Le, Viet Cuong Ta conference-89: Toward Data Efficient Model Merging between Different Datasets without Performance Degradation Masanori Yamada, Tomoya Yamashita, Shin'ya Yamaguchi, Daiki Chijiwa journal-100: State-Novelty Guided Action Persistence in Deep Reinforcement Learning Jianshu Hu, Paul Weng, Yutong Ban conference-162: EVaDE: Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan, Dixant Mittal, Wee Sun Lee conference-332: Middle Code Prediction: Enhancing Code Generation for Uncommon Programming Languages in Robotics Zixi Jia, Hongbin Gao, Hexiao Li conference-368: Robust Multi-Agent Reinforcement Learning for Autonomous Vehicles in Noisy Highway Environments Lilan Lin, Xiaotong Nie, Jian Hou	E305
10:00 - 10:30	Coffee break
10:30 - 11:30	Plenary session #04 "Neurosymbolic AI for Safety-Critical Agile Control" Prof. Yisong Yue, California Institute of Technology Session chair: Prof. Hsuan-Tien Lin	E403
11:30 - 12:00	Closing ceremony
12:00 - 13:30	Lunch	Hall outside E403
13:30 - 14:30	Bus leaves VinUniversity at 13:45	1st floor, Building E
Sunday, December 8th 2024
08:00 - 09:00	Bus from city center to InterContinental Hanoi Landmark72 Melia Hotel at 8:00 AM Hanoi Opera House at 8:15 AM	Melia Hotel Hanoi Opera House
09:00 - 09:30	Registration Join with 5 workshops from ACCV 2024	5th floor, InterContinental Hanoi Landmark72
09:30 - 12:00	Workshop #01 Deep Generative AI for Molecule Exploration (wDGAME)	Room Nha Trang
	Tutorial #01 Causality and Large Models	Room Da Nang
12:00 - 13:30	Lunch break
13:30 - 16:00	Workshop #02 Reliable and Trustworthy Artificial Intelligence	Room Nha Trang
	Tutorial #02 Efficient Pre-trained Model Tuning via Model Reprogramming	Room Da Nang
16:00 - 17:00	Bus leaves InterContinental Hanoi Landmark72 at 16:15	1st floor, InterContinental Hanoi Landmark72