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1 | Poster Reception Presentation Time | Theme | Poster Number | Paper Number | Paper Title | Authors | ||||||||||||||||||||
421 | Night 2 | |||||||||||||||||||||||||
422 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Code and Biosciences | 1 | rtfb0561 | Identifying Combinatorial Regulatory Genes for Cell Fate Decision via Reparameterizable Subset Explanations | Junhao Liu; Pengpeng Zhang; Martin Renqiang Min; Jing Zhang | ||||||||||||||||||||
423 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Code and Biosciences | 2 | rtfb0956 | ESCFD: Probabilistic Flow Diffusion Model for Accelerated High-Quality Single-Cell RNA-seq Data Synthesis | Shuangyin Li; Jihua Yang; Yixuan Wang; Shimin Di; Lei Chen | ||||||||||||||||||||
424 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Code and Biosciences | 3 | rtfb0048 | CompilerDream: Learning a Compiler World Model for General Code Optimization | Chaoyi Deng; Jialong Wu; Ningya Feng; Jianmin Wang; Mingsheng Long | ||||||||||||||||||||
425 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Code and Biosciences | 4 | rtfb0021 | LaTCoder: Converting Webpage Design to Code with Layout-as-Thought | Yi Gui; Zhen Li; Zhongyi Zhang; Guohao Wang; Tianpeng Lv; Gaoyang Jiang; Yi Liu; Dongping Chen; Yao Wan; Hongyu Zhang; Wenbin Jiang; Xuanhua Shi; Hai Jin | ||||||||||||||||||||
426 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Code and Biosciences | 5 | rtfa0671 | MGS3: A Multi-Granularity Self-Supervised Code Search Framework | Rui Li; Junfeng Kang; Qi Liu; Liyang He; Zheng Zhang; Yunhao Sha; Linbo Zhu; Zhenya Huang | ||||||||||||||||||||
427 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Code and Biosciences | 6 | rtfa0616 | Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor | Weibo Gao; Qi Liu; Rui Li; Yuze Zhao; Hao Wang; Linan Yue; Fangzhou Yao; Zheng Zhang | ||||||||||||||||||||
428 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Sciences | 7 | rtfb0634 | Equivariant and Invariant Message Passing for Global Subseasonal-to-seasonal Forecasting | Yang Liu; Zinan Zheng; Yu Rong; Deli Zhao; Hong Cheng; Jia Li | ||||||||||||||||||||
429 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Sciences | 8 | rtfb0667 | Multi-scale Physics-informed Transformer With Spatio-temporal Feature Adapter For Extreme Precipitation Nowcasting | Jingyuan Zheng; Xin Zhang; Zhilin Qi; Ruiang Qiu; Dongjing Wang; Haiping Zhang; Dongjin Yu | ||||||||||||||||||||
430 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Sciences | 9 | rtfb0091 | LiPM: Foundation Model for Lithium-Ion Battery Analysis | Juren Li; Yang Yang; Hanchen Su; Jiayu Liu; Youmin Chen; Jianfeng Zhang; Lujia Pan | ||||||||||||||||||||
431 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Sciences | 10 | rtfb1128 | Bidirectional Diffusion Bridge Models | Duc Kieu; Kien Do; Toan Nguyen; Dang Nguyen; Thin Nguyen | ||||||||||||||||||||
432 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Sciences | 11 | rtfb0373 | Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows | Mengtao Yan; Qi Wang; Haining Wang; Ruizhi Chengze; Yi Zhang; Hongsheng Liu; Zidong Wang; Fan Yu; Qi Qi; Hao Sun | ||||||||||||||||||||
433 | Tuesday, August 5, 5:30 - 8:00 PM | AI in Sciences | 12 | rtfb0227 | Fine-grained Urban Heat Island Effect Forecasting: A Context-aware Thermodynamic Modeling Framework | Xingchen Zou; Weilin Ruan; Siru Zhong; Yuehong Hu; Yuxuan Liang | ||||||||||||||||||||
434 | Tuesday, August 5, 5:30 - 8:00 PM | AI-Enhanced Model and Analysis | 13 | rtfb0033 | Adapting Pretrained Language Models for Citation Classification via Self-Supervised Contrastive Learning | Tong Li; Jiachuan Wang; Yongqi Zhang; Shuangyin Li; Lei Chen | ||||||||||||||||||||
435 | Tuesday, August 5, 5:30 - 8:00 PM | AI-Enhanced Model and Analysis | 14 | rtfa0641 | Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes | Yige Zhao; Jianxiang Yu; Yao Cheng; Chengcheng Yu; Yiding Liu; Xiang Li; Shuaiqiang Wang | ||||||||||||||||||||
436 | Tuesday, August 5, 5:30 - 8:00 PM | AI-Enhanced Model and Analysis | 15 | rtfb1995 | LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs | Jiasheng Zhang; Ali Maatouk; Jialin Chen; Ngoc Bui; Qianqian Xie; Leandros Tassiulas; Hua Xu; Jie Shao; Rex Ying | ||||||||||||||||||||
437 | Tuesday, August 5, 5:30 - 8:00 PM | AI-Enhanced Model and Analysis | 16 | rtfb0521 | $Hi-PNG:$ Efficient Interval-Filtering ANNS via Hierarchical Interval Partition Navigating Graph | Ming Yang; Yuzheng Cai; Weiguo Zheng | ||||||||||||||||||||
438 | Tuesday, August 5, 5:30 - 8:00 PM | AI-Enhanced Model and Analysis | 17 | rtfb0109 | Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series | Weijia Zhang; Chenlong Yin; Hao Liu; Hui Xiong | ||||||||||||||||||||
439 | Tuesday, August 5, 5:30 - 8:00 PM | AI-Enhanced Model and Analysis | 18 | rtfb0536 | AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay | Ziyi Tang; Zechuan Chen; Jiarui Yang; Jiayao Mai; Yongsen Zheng; Keze Wang; Jinrui Chen; Liang Lin | ||||||||||||||||||||
440 | Tuesday, August 5, 5:30 - 8:00 PM | Adaptive Learning Models | 19 | rtfa0233 | Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation | Qi (Cheems) Wang; Yiqin Lv; Yixiu Mao; Yun Qu; Yi Xu; Xiangyang Ji | ||||||||||||||||||||
441 | Tuesday, August 5, 5:30 - 8:00 PM | Adaptive Learning Models | 20 | rtfb2126 | Paper-Level Computerized Adaptive Testing for High-Stakes Examination via Multi-Objective Optimization | Mingjia Li; Junkai Tong; Yiyang Huang; Yifei Ding; Hong Qian; Aimin Zhou | ||||||||||||||||||||
442 | Tuesday, August 5, 5:30 - 8:00 PM | Adaptive Learning Models | 21 | rtfa0423 | Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing | Haiping Ma; Aoqing Xia; Changqian Wang; Hai Wang; Xingyi Zhang | ||||||||||||||||||||
443 | Tuesday, August 5, 5:30 - 8:00 PM | Adaptive Learning Models | 22 | rtfb1628 | Cuff-KT: Tackling Learners' Real-time Learning Pattern Adjustment via Tuning-Free Knowledge State Guided Model Updating | Yiyun Zhou; Zheqi Lv; Shengyu Zhang; Jingyuan Chen | ||||||||||||||||||||
444 | Tuesday, August 5, 5:30 - 8:00 PM | Adaptive Learning Models | 23 | rtfb0844 | Learning Patterns-Guided Data Generation for Knowledge Tracing | Haiping Ma; Yi Yin; Ziwen Wang; Changqian Wang; Xiaoshan Yu; Shangshang Yang; Xingyi Zhang | ||||||||||||||||||||
445 | Tuesday, August 5, 5:30 - 8:00 PM | Adaptive Learning Models | 24 | rtfb0972 | Empowering Economic Simulation for Massively Multiplayer Online Games through Generative Agent-Based Modeling | Bihan Xu; Shiwei Zhao; Runze Wu; Zhenya Huang; Jiawei Wang; Zhipeng Hu; Kai Wang; Haoyu Liu; Tangjie Lv; Le Li; Changjie Fan; Xin Tong; Jiangze Han | ||||||||||||||||||||
446 | Tuesday, August 5, 5:30 - 8:00 PM | Advanced Machine Learning Techniques | 25 | rtfa0559 | Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression | Junliang Lyu; Yixuan Zhang; Xiaoling Lu; Feng Zhou | ||||||||||||||||||||
447 | Tuesday, August 5, 5:30 - 8:00 PM | Advanced Machine Learning Techniques | 26 | rtfb0493 | Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation | Hao Wang; Zhichao Chen; Zhaoran Liu; Xu Chen; Haoxuan Li; Zhouchen Lin | ||||||||||||||||||||
448 | Tuesday, August 5, 5:30 - 8:00 PM | Advanced Machine Learning Techniques | 27 | rtfb0464 | Boosting Deep Vector Quantization with Progressive Distribution Transformation | Weikang Wang; Xin Zhou; Jun Liu; Weifeng Zhang; Huan Yan | ||||||||||||||||||||
449 | Tuesday, August 5, 5:30 - 8:00 PM | Advanced Machine Learning Techniques | 28 | rtfb1994 | Compressive Meta-Learning | Daniel Mas Montserrat; David Bonet; Maria Perera; Xavier Giró-i-Nieto; Alexander Ioannidis | ||||||||||||||||||||
450 | Tuesday, August 5, 5:30 - 8:00 PM | Advanced Machine Learning Techniques | 29 | rtfa0429 | Feature Selection for Network Intrusion Detection | Charles Westphal; Stephen Hailes; Mirco Musolesi | ||||||||||||||||||||
451 | Tuesday, August 5, 5:30 - 8:00 PM | Advanced Machine Learning Techniques | 30 | rtfa0869 | Enhancing Black-Box Adversarial Attacks on Discrete Sequential Data via Bilevel Bayesian Optimization in Hybrid Spaces | Tianxing Man; Xingchen Li; Zhaogeng Liu; Haozhen Zhang; Bin Gu; Yi Chang | ||||||||||||||||||||
452 | Tuesday, August 5, 5:30 - 8:00 PM | Advancements in AI-Assisted Optimization | 31 | rtfb1398 | Pairwise Sample Complexity for Fair Active Ranking with Cascaded Norm Objectives | Sruthi Gorantla; Sara Ahmadian | ||||||||||||||||||||
453 | Tuesday, August 5, 5:30 - 8:00 PM | Advancements in AI-Assisted Optimization | 32 | rtfb1943 | Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks | Mohsen Dehghankar; Abolfazl Asudeh | ||||||||||||||||||||
454 | Tuesday, August 5, 5:30 - 8:00 PM | Advancements in AI-Assisted Optimization | 33 | rtfb1164 | ErrorEraser: Unlearning Data Bias for Improved Continual Learning | Xuemei Cao; Hanlin Gu; Xin Yang; Bingjun Wei; Haoyang Liang; Xiangkun Wang; Tianrui Li | ||||||||||||||||||||
455 | Tuesday, August 5, 5:30 - 8:00 PM | Advancements in AI-Assisted Optimization | 34 | rtfb0460 | FlanS - A Foundation Model for Free-Form Language-based Segmentation in Medical Images | Longchao Da; Rui Wang; Xiaojian Xu; Parminder Bhatia; Taha Kass-Hout; Hua Wei; Cao Xiao | ||||||||||||||||||||
456 | Tuesday, August 5, 5:30 - 8:00 PM | Advancements in AI-Assisted Optimization | 35 | rtfb2227 | Combining Denoised Neural Network and Genetic Symbolic Regression for Memory Behavior Modeling via Dynamic Asynchronous Optimization | Jianwen Sun; Qirong Chen; Zhenya Huang; Zhihai Hu; Ruxia Liang; Xiaoxuan Shen | ||||||||||||||||||||
457 | Tuesday, August 5, 5:30 - 8:00 PM | Advancements in AI-Assisted Optimization | 36 | rtfb1076 | ToolSQL: A Tool-Assisted Agent for SQL Verification and Refinement | Zhongyuan Wang; Richong Zhang; Zhijie Nie; Jaein Kim | ||||||||||||||||||||
458 | Tuesday, August 5, 5:30 - 8:00 PM | Adversarial Attacks and Robustness | 37 | rtfb1841 | Empirical Bayes Selection for Value Maximization | Dominic Coey; Kenneth Hung | ||||||||||||||||||||
459 | Tuesday, August 5, 5:30 - 8:00 PM | Adversarial Attacks and Robustness | 38 | rtfa0853 | Handling Feature Heterogeneity with Learnable Graph Patches | Yifei Sun; Yang Yang; Xiao Feng; Zijun Wang; Haoyang Zhong; Chunping Wang; Lei Chen | ||||||||||||||||||||
460 | Tuesday, August 5, 5:30 - 8:00 PM | Adversarial Attacks and Robustness | 39 | rtfb1168 | Experience Speaks Louder: Black-box Hard-label Adversarial Attack through Reinforcement Learning | Yilun Jin; Kun Zhu; Feng Tang; Jiaxuan Shi; Yong Chen | ||||||||||||||||||||
461 | Tuesday, August 5, 5:30 - 8:00 PM | Adversarial Attacks and Robustness | 40 | rtfa0645 | CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies | Brian Cho; Ana-Roxana Pop; Kyra Gan; Sam Corbett-Davies; Israel Nir; Ariel Evnine; Nathan Kallus | ||||||||||||||||||||
462 | Tuesday, August 5, 5:30 - 8:00 PM | Adversarial Attacks and Robustness | 41 | rtfb1541 | Monitoring Robustness and Individual Fairness | Ashutosh Gupta; Thomas A. Henzinger; Konstantin Kueffner; Kaushik Mallik; David Pape | ||||||||||||||||||||
463 | Tuesday, August 5, 5:30 - 8:00 PM | Adversarial Attacks and Robustness | 42 | rtfa1047 | Stabilizing Modality Gap & Lowering Gradient Norms Improve Zero-Shot Adversarial Robustness of VLMs | Junhao Dong; Piotr Koniusz; Xinghua Qu; Yew-Soon Ong | ||||||||||||||||||||
464 | Tuesday, August 5, 5:30 - 8:00 PM | Algorithmic Fairness | 43 | rtfa0011 | Fairness without Demographics through Learning Graph of Gradients | Yingtao Luo; Zhixun Li; Qiang Liu; Jun Zhu | ||||||||||||||||||||
465 | Tuesday, August 5, 5:30 - 8:00 PM | Algorithmic Fairness | 44 | rtfb2036 | Are Your Fairness Metrics Accurate? A Semi-Supervised Approach to Improving Fairness Estimates Under Sample Selection Bias | M. Clara De Paolis Kaluza; Thulasi Tholeti; Yile Chen; Ricardo Baeza-Yates; Predrag Radivojac; Shantanu Jain | ||||||||||||||||||||
466 | Tuesday, August 5, 5:30 - 8:00 PM | Algorithmic Fairness | 45 | rtfa0273 | Towards Controllable Hybrid Fairness in Graph Neural Networks | Zihan Luo; Hong Huang; Jianxun Lian; Xiran Song; Hai Jin | ||||||||||||||||||||
467 | Tuesday, August 5, 5:30 - 8:00 PM | Algorithmic Fairness | 46 | rtfb1261 | Track and Tweak: Monitoring and Improving Group Fairness for Temporal Graph Neural Networks in Real Time | Zixing Song; Muzhi Li; Yifei Zhang; Irwin King; José Miguel Hernández-Lobato | ||||||||||||||||||||
468 | Tuesday, August 5, 5:30 - 8:00 PM | Algorithmic Fairness | 47 | rtfb1924 | Counterfactual Fairness Through Transforming Data Orthogonal to Bias | Shuyi Chen; Shixiang Zhu | ||||||||||||||||||||
469 | Tuesday, August 5, 5:30 - 8:00 PM | Algorithmic Fairness | 48 | rtfb0069 | FairCDR: Transferring Fairness and User Preferences for Cross-Domain Recommendation | Yongxuan Wu; Yang Liu; Xixun Lin; Hong Zhou; Yanan Cao; Lixin Zou; Yanmin Shang; Yanbing Liu | ||||||||||||||||||||
470 | Tuesday, August 5, 5:30 - 8:00 PM | Bandits and Regret Minimization | 49 | rtfb0979 | Revisiting Clustering of Neural Bandits: Selective Reinitialization for Mitigating Loss of Plasticity | Zhiyuan Su; Sunhao Dai; Xiao Zhang | ||||||||||||||||||||
471 | Tuesday, August 5, 5:30 - 8:00 PM | Bandits and Regret Minimization | 50 | rtfb1457 | A/B Test and Online Experiment Under Diminishing Marginal Effects: Regret Minimization and Statistical Inference | Jingxu Xu; Yuhang Wu; Yingfei Wang; Chu Wang; Zeyu Zheng | ||||||||||||||||||||
472 | Tuesday, August 5, 5:30 - 8:00 PM | Bandits and Regret Minimization | 51 | rtfa0712 | Achieving Nearly-Optimal Regret and Sample Complexity in Dueling Bandits with Applications in Online Recommendations | Lanjihong Ma; Yao-Xiang Ding; Zhen-Yu Zhang; Zhi-Hua Zhou | ||||||||||||||||||||
473 | Tuesday, August 5, 5:30 - 8:00 PM | Bandits and Regret Minimization | 52 | rtfb1553 | Leveraging the Power of Conversations: Optimal Key Term Selection in Conversational Contextual Bandits | Maoli Liu; Zhuohua Li; Xiangxiang Dai; John C.S. Lui | ||||||||||||||||||||
474 | Tuesday, August 5, 5:30 - 8:00 PM | Bandits and Regret Minimization | 53 | rtfa1020 | Safe Online Bid Optimization with Return on Investment and Budget Constraints | Matteo Castiglioni; Alessandro Nuara; Giulia Romano; Giorgio Spadaro; Francesco Trovò; Nicola Gatti | ||||||||||||||||||||
475 | Tuesday, August 5, 5:30 - 8:00 PM | Bandits and Regret Minimization | 54 | rtfb0051 | Auto-Bidding in Real-Time Auctions via Oracle Imitation Learning | Alberto Silvio Chiappa; Briti Gangopadhyay; Zhao Wang; Shingo Takamatsu | ||||||||||||||||||||
476 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Discovery and Domain Adaptation | 55 | rtfb1326 | Imputation via Domain Adaptation: Rethinking Variable Subset Forecasting from Knowledge Transfer | Runchang Liang; Qi Hao; Yue Gao; Kunpeng Liu; Lu Jiang; Pengyang Wang; Minghao Yin | ||||||||||||||||||||
477 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Discovery and Domain Adaptation | 56 | rtfa0613 | Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity | Yixin Ren; Haocheng Zhang; Yewei Xia; Hao Zhang; Jihong Guan; Shuigeng Zhou | ||||||||||||||||||||
478 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Discovery and Domain Adaptation | 57 | rtfb1197 | Generative Imputation with Multi-level Causal Consistency for Variable Subset Forecasting | Qi Hao; Yue Gao; Runchang Liang; Yunhe Zhang; Pengyang Wang | ||||||||||||||||||||
479 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Discovery and Domain Adaptation | 58 | rtfb1462 | Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation | Lei Wang; Shanshan Huang; Chunyuan Zheng; Jun Liao; Xiaofei Zhu; Haoxuan Li; Li Liu | ||||||||||||||||||||
480 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Discovery and Domain Adaptation | 59 | rtfa0964 | Causal Discovery from Shifted Multiple Environments | Dezhi Yang; Guoxian Yu; Jun Wang; Jinglin Zhang; Carlotta Domeniconi | ||||||||||||||||||||
481 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Discovery and Domain Adaptation | 60 | rtfb0291 | Causal-aware Graph Neural Architecture Search under Distribution Shifts | Peiwen Li; Xin Wang; Zeyang Zhang; Ziwei Zhang; Fang Shen; Jialong Wang; Yang Li; Wenwu Zhu | ||||||||||||||||||||
482 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Inference and Discovery | 61 | rtfb2157 | MOTTO: A Mixture-of-Experts Framework for Multi-Treatment, Multi-Outcome Treatment Effect Estimation | Yiling Liu; Wei Shi; Chen Fu; Ziyang Jiang; Zhigang Hua; David Carlson | ||||||||||||||||||||
483 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Inference and Discovery | 62 | rtfa1216 | Classifying Treatment Responders: Bounds and Algorithms | Anpeng Wu; Haoxuan Li; Chunyuan Zheng; Kun Kuang; Kun Zhang | ||||||||||||||||||||
484 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Inference and Discovery | 63 | rtfb2320 | Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning | Huaming Du; Yujia Zheng; Baoyu Jing; Yu Zhao; Gang Kou; Guisong Liu; Tao Gu; Weimin Li; Carl Yang | ||||||||||||||||||||
485 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Inference and Discovery | 64 | rtfa0230 | A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding | Chuan Zhou; Yaxuan Li; Chunyuan Zheng; Haiteng Zhang; Min Zhang; Haoxuan Li; Mingming Gong | ||||||||||||||||||||
486 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Inference and Discovery | 65 | rtfa0601 | Progressive Generalization Risk Reduction for Data-Efficient Causal Effect Estimation | Hechuan Wen; Tong Chen; Guanhua Ye; Li Kheng Chai; Shazia Sadiq; Hongzhi Yin | ||||||||||||||||||||
487 | Tuesday, August 5, 5:30 - 8:00 PM | Causal Inference and Discovery | 66 | rtfb1937 | Difference-in-Differences Subset Scan | Will Stamey; Sriram Somanchi; Edward McFowland III | ||||||||||||||||||||
488 | Tuesday, August 5, 5:30 - 8:00 PM | Cloud and Devices | 67 | rtfb0280 | Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation | Yi Wen; Yue Liu; Derong Xu; Huishi Luo; Pengyue Jia; Yiqing Wu; Siwei Wang; Ke Liang; Maolin Wang; Yiqi Wang; Fuzhen Zhuang; Xiangyu Zhao | ||||||||||||||||||||
489 | Tuesday, August 5, 5:30 - 8:00 PM | Cloud and Devices | 68 | rtfb1109 | LSRP: A Leader–Subordinate Retrieval Framework for Privacy-Preserving Cloud–Device Collaboration | Yingyi Zhang; Pengyue Jia; Xianneng Li; Derong Xu; Maolin Wang; Yichao Wang; Zhaocheng Du; Huifeng Guo; Yong Liu; Ruiming Tang; Xiangyu Zhao | ||||||||||||||||||||
490 | Tuesday, August 5, 5:30 - 8:00 PM | Cloud and Devices | 69 | rtfa0446 | Collaborative Large Language Models and Sequential Recommendation Models for Device-Cloud Recommendation | Zheqi Lv; Tianyu Zhan; Wenjie Wang; Xinyu Lin; Shengyu Zhang; Wenqiao Zhang; Jiwei Li; Kun Kuang; Fei Wu | ||||||||||||||||||||
491 | Tuesday, August 5, 5:30 - 8:00 PM | Cloud and Devices | 70 | rtfb2117 | Gradients as An Action: Towards Communication-Efficient Federated Recommender Systems via Adaptive Action Sharing | Zhufeng Lu; Chentao Jia; Ming Hu; Xiaofei Xie; Mingsong Chen | ||||||||||||||||||||
492 | Tuesday, August 5, 5:30 - 8:00 PM | Cloud and Devices | 71 | rtfb0110 | A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices | Chen Gong; Rui Xing; Zhenzhe Zheng; Fan Wu | ||||||||||||||||||||
493 | Tuesday, August 5, 5:30 - 8:00 PM | Cloud and Devices | 72 | rtfa0061 | Forward Once for All: Structural Parameterized Adaptation for Efficient Cloud-coordinated On-device Recommendation | Kairui Fu; Zheqi Lv; Shengyu Zhang; Fan Wu; Kun Kuang | ||||||||||||||||||||
494 | Tuesday, August 5, 5:30 - 8:00 PM | Data Streams | 73 | rtfb1955 | Bayesian Stream Tuner: Dynamic Hyperparameter Optimization for Real-Time Data Streams | Nilesh Verma; Albert Bifet; Bernhard Pfahringer; Maroua Bahri | ||||||||||||||||||||
495 | Tuesday, August 5, 5:30 - 8:00 PM | Data Streams | 74 | rtfb0443 | Cooled-KLL: Enhancing Quantile Estimation by Filtering Hot Item | Qilong Shi; Wei Zhou; Yizhuo Zheng; Xinye Xu; Ting Yang; Yuanyuan Zhang; Long Yao; Yangyang Wang; Mingwei Xu | ||||||||||||||||||||
496 | Tuesday, August 5, 5:30 - 8:00 PM | Data Streams | 75 | rtfb1317 | Measuring Item Freshness in Data Streams | Zirui Liu; Zihan Jiang; An Zhang; Zhouran Shi; Yuxuan Tian; Tong Yang | ||||||||||||||||||||
497 | Tuesday, August 5, 5:30 - 8:00 PM | Data Streams | 76 | rtfa0456 | HeavyLocker: Lock Heavy Hitters in Distributed Data Streams | Qilong Shi; Xirui Li; Hanyue Zheng; Tong Yang; Yangyang Wang; Mingwei Xu | ||||||||||||||||||||
498 | Tuesday, August 5, 5:30 - 8:00 PM | Data Streams | 77 | rtfb0515 | Toast: Task-Oriented Multi-dimensional Augmentation for Spatio-Temporal Trajectory Data | Junhao Zhu; Tao Wang; Lu Chen; Ziquan Fang; Yunjun Gao; Tianyi Li | ||||||||||||||||||||
499 | Tuesday, August 5, 5:30 - 8:00 PM | Data Streams | 78 | rtfb0804 | PSSketch: Finding Persistent and Sparse Flow with High Accuracy and Efficiency | Jiayao Wang; Qilong Shi; Xiyan Liang; Han Wang; Wenjun Li; Ziling Wei; Weizhe Zhang; Shuhui Chen | ||||||||||||||||||||
500 | Tuesday, August 5, 5:30 - 8:00 PM | Diffusion Models and Bias Mitigation | 79 | rtfa0944 | InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models | Min Hou; Yueying Wu; Chang Xu; Yu-Hao Huang; Chenxi Bai; Le Wu; Jiang Bian | ||||||||||||||||||||
501 | Tuesday, August 5, 5:30 - 8:00 PM | Diffusion Models and Bias Mitigation | 80 | rtfb0382 | SepDiff: Self-Encoding Parameter Diffusion for Learning Latent Semantics | Zhangkai Wu; Xuhui Fan; Jin Li; Zhilin Zhao; Hui Chen; Longbing Cao | ||||||||||||||||||||
502 | Tuesday, August 5, 5:30 - 8:00 PM | Diffusion Models and Bias Mitigation | 81 | rtfb1009 | Improving Group Robustness on Spurious Correlation via Evidential Alignment | Wenqian Ye; Guangtao Zheng; Aidong Zhang | ||||||||||||||||||||
503 | Tuesday, August 5, 5:30 - 8:00 PM | Diffusion Models and Bias Mitigation | 82 | rtfb0380 | Stochastic Diffusion: A Diffusion Based Model for Stochastic Time Series Forecasting | Yuansan Liu; Sudanthi Wijewickrema; Dongting Hu; Christofer Bester; Stephen O'Leary; James Bailey | ||||||||||||||||||||
504 | Tuesday, August 5, 5:30 - 8:00 PM | Diffusion Models and Bias Mitigation | 83 | rtfb1267 | Calibrating Pre-trained Language Classifiers on LLM-generated Noisy Labels via Iterative Refinement | Liqin Ye; Agam Shah; Chao Zhang; Sudheer Chava | ||||||||||||||||||||
505 | Tuesday, August 5, 5:30 - 8:00 PM | Diffusion Models and Bias Mitigation | 84 | rtfa0953 | ProgDiffusion: Progressively Self-encoding Diffusion Models | Zhangkai Wu; Xuhui Fan; Longbing Cao | ||||||||||||||||||||
506 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Data Processing | 85 | rtfb1852 | Anytime Algorithms for Approximate Functional Dependencies | Sanjivni Rana; Junya Ogawa; Suraj Shetiya; Senjuti Basu Roy; Gautam Das | ||||||||||||||||||||
507 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Data Processing | 86 | rtfa0925 | ScalaGBM: Memory Efficient GBDT Training for High-Dimensional Data on GPU | Borui Xu; Zeyi Wen; Yao Chen; Weiguo Liu; Weng-Fai Wong; Bingsheng He | ||||||||||||||||||||
508 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Data Processing | 87 | rtfb0011 | PMKLC: Parallel Multi-Knowledge Learning-based Lossless Compression for Large-Scale Genomics Database | Hui Sun; Yanfeng Ding; Liping Yi; Huidong Ma; Gang Wang; Xiaoguang Liu; Cheng Zhong; Wentong Cai | ||||||||||||||||||||
509 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Data Processing | 88 | rtfb1643 | Empowering Graph-based Approximate Nearest Neighbor Search with Adaptive Awareness Capabilities | Jiancheng Ruan; Tingyang Chen; Renchi Yang; Xiangyu Ke; Yunjun Gao | ||||||||||||||||||||
510 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Data Processing | 89 | rtfb0003 | FedVS: Towards Federated Vector Similarity Search with Filters | Zeheng Fan; Yuxiang Zeng; Zhuanglin Zheng; Binhan Yang; Yongxin Tong | ||||||||||||||||||||
511 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Data Processing | 90 | rtfa1033 | IDentity with Locality: An Ideal Hash for Gene Sequence Search | Tianyi Zhang; Gaurav Gupta; Aditya Desai; Anshumali Shrivastava | ||||||||||||||||||||
512 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Language Models | 91 | rtfa1203 | Scaling the Vocabulary of Non-autoregressive Models for Fast Generative Retrieval | Ravisri Valluri; Akash Kumar Mohankumar; Kushal Dave; Amit Singh; Jian Jiao; Manik Varma; Gaurav Sinha | ||||||||||||||||||||
513 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Language Models | 92 | rtfa0745 | PipeRAG: Fast Retrieval-Augmented Generation via Adaptive Pipeline Parallelism | Wenqi Jiang; Shuai Zhang; Boran Han; Jie Wang; Bernie Wang; Tim Kraska | ||||||||||||||||||||
514 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Language Models | 93 | rtfb1604 | Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language Models | Xuan Wu; Di Wang; Chunguo Wu; Lijie Wen; Chunyan Miao; Yubin Xiao; You Zhou | ||||||||||||||||||||
515 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Language Models | 94 | rtfb0947 | Co-Evolution of Large Language Models and Configuration Strategies to Enhance Surrogate-Assisted Evolutionary Algorithm | Lindong Xie; Yang Zhang; Zhixian Tang; Edward Chung; Genghui Li; Zhenkun Wang | ||||||||||||||||||||
516 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Language Models | 95 | rtfb0196 | EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens | Chaoqun Yang; Xinyu Lin; Wenjie Wang; Yongqi Li; Teng Sun; Xianjing Han; Tat-Seng Chua | ||||||||||||||||||||
517 | Tuesday, August 5, 5:30 - 8:00 PM | Efficient Language Models | 96 | rtfb2205 | Generating Long Semantic IDs in Parallel for Recommendation | Yupeng Hou; Jiacheng Li; Ashley Shin; Jinsung Jeon; Abhishek Santhanam; Wei Shao; Kaveh Hassani; Ning Yao; Julian McAuley | ||||||||||||||||||||
518 | Tuesday, August 5, 5:30 - 8:00 PM | Fair and Scalable Data Summarization | 97 | rtfb0532 | PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators | Renzhe Xu; Haotian Wang; Xingxuan Zhang; Bo Li; Peng Cui | ||||||||||||||||||||
519 | Tuesday, August 5, 5:30 - 8:00 PM | Fair and Scalable Data Summarization | 98 | rtfb1687 | Fair Diversity Maximization with Few Representatives | Florian Adriaens; Nikolaj Tatti |