Most Cited AAAI "inter-atomic distance prediction" Papers
5,317 papers found • Page 24 of 27
Conference
DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise
Xianhan Tan, Yu Qi, Yueming Wang
Everything2Motion: Synchronizing Diverse Inputs via a Unified Framework for Human Motion Synthesis
Zhaoxin Fan, Longbin Ji, Pengxin Xu et al.
Learning Visually Grounded Domain Ontologies via Embodied Conversation and Explanation
Jonghyuk Park, Alex Lascarides, Subramanian Ramamoorthy
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis
Meng Pang, Houwei Xu, Zheng Huang et al.
Optimal and Efficient Binary Questioning for Accelerated Annotation
Franco Marchesoni-Acland, Jean-Michel Morel, Josselin Kherroubi et al.
From Coarse to Fine: A Distillation Method for Fine-Grained Emotion-Causal Span Pair Extraction in Conversation
Xinhao Chen, Chong Yang, Changzhi Sun et al.
HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units
Guorui Liao, Chunyuan Zheng, Li Cheng et al.
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction
Jiyi Li
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
Chenqi Li, Boyan Gao, Gabriel Davis Jones et al.
Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing
Mingliang Hou, Xueyi Li, Teng Guo et al.
Interpretable Solutions for Multi-Physics PDEs Using T-NNGP
Lulu Cao, Zexin Lin, Kay Chen Tan et al.
Deviate or Not: Learning Coalition Structures with Multiple-bit Observations in Games
Yixuan Even Xu, Zhe Feng, Fei Fang
S2CycleDiff: Spatial-Spectral-Bilateral Cycle-Diffusion Framework for Hyperspectral Image Super-resolution
Jiahui Qu, Jie He, Wenqian Dong et al.
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
Bingchen Wang, Zhaoxuan Wu, Fusheng Liu et al.
Achieving Balanced Representation in School Choice with Diversity Goals
Zhaohong Sun, Makoto Yokoo
Uncommon Belief in Rationality
Qi Shi, Pavel Naumov
A Unified Model of Direct and Indirect Reciprocity in Multichannel Games
Juan Shi, Zhaoheng Cao, Jinzhuo Liu et al.
ConditionVideo: Training-Free Condition-Guided Video Generation
Bo Peng, Xinyuan Chen, Yaohui Wang et al.
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
Jonathan Shaki, Yonatan Aumann, Sarit Kraus
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
Jiayi Chen, Aidong Zhang
Hedging and Approximate Truthfulness in Traditional Forecasting Competitions
Mary Monroe, Anish Thilagar, Melody Hsu et al.
Decentralized Convergence to Equilibrium Prices in Trading Networks
Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.
Sample Complexity of Linear Regression Models for Opinion Formation in Networks
Haolin Liu, Rajmohan Rajaraman, Ravi Sundaram et al.
Metric Distortion of Line-up Elections: The Right Person for the Right Job
Christopher Jerrett, Yue Han, Elliot Anshelevich
Learning Optimal Auctions with Correlated Value Distributions
Da Huo, Zhenzhe Zheng, Fan Wu
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning
Gangqiang Hu, Jianfeng Lu, Jianmin Han et al.
Forecasting Competitions with Correlated Events
Rafael Frongillo, Manuel Lladser, Anish Thilagar et al.
Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification
Lei Zhai, Shuyuan Yang, Yitong Li et al.
Individually Stable Dynamics in Coalition Formation over Graphs
Angelo Fanelli, Laurent Gourvès, Ayumi Igarashi et al.
Robust Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
Seyed A. Esmaeili, Suho Shin, Aleksandrs Slivkins
Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion
Bin Shang, Yinliang Zhao, Jun Liu et al.
Verifying Proportionality in Temporal Voting
Edith Elkind, Svetlana Obraztsova, Jannik Peters et al.
Bounded Rationality Equilibrium Learning in Mean Field Games
Yannick Eich, Christian Fabian, Kai Cui et al.
Partial Multi-View Clustering via Self-Supervised Network
Qianqian Wang, Guoshuai Sheng, Quanxue Gao et al.
Online Learning of Coalition Structures by Selfish Agents
Saar Cohen, Noa Agmon
Mechanism Design for Connecting Regions Under Disruptions
Hau Chan, Jianan Lin, Zining Qin et al.
Number Theoretic Accelerated Learning of Physics-Informed Neural Networks
Takashi Matsubara, Takaharu Yaguchi
Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity
Ioannis Caragiannis, Kurt Mehlhorn, Nidhi Rathi
Weak Strategyproofness in Randomized Social Choice
Felix Brandt, Patrick Lederer
Efficient Target Propagation by Deriving Analytical Solution
Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato et al.
Beyond Monotonicity: On the Convergence of Learning Algorithms in Standard Auction Games
Martin Bichler, Stephan B. Lunowa, Matthias Oberlechner et al.
Nearly Tight Bounds on Approximate Equilibria in Spatial Competition on the Line
Umang Bhaskar, Soumyajit Pyne
Optimal Auction Design for Mixed Bidders
Xiaohui Bei, Pinyan Lu, Zhiqi Wang et al.
The Distortion of Public-Spirited Participatory Budgeting
Mark Bedaywi, Bailey Flanigan, Mohamad Latifian et al.
Multi-Robot Task Allocation Using Global Games with Negative Feedback: The Colony Maintenance Problem
Logan E. Beaver
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
Shuai Shao, Yu Bai, Yan Wang et al.
Divergence-Guided Simultaneous Speech Translation
Xinjie Chen, Kai Fan, Wei Luo et al.
Fair Division via the Cake-Cutting Share
Yannan Bai, Kamesh Munagala, Yiheng Shen et al.
Merging Mechanisms for Ads and Organic Items in E-commerce Platforms
Nan An, Weian Li, Qi Qi et al.
Refine then Classify: Robust Graph Neural Networks with Reliable Neighborhood Contrastive Refinement
Shuman Zhuang, Zhihao Wu, Zhaoliang Chen et al.
Ghidorah: Towards Robust Multi-Scale Information Diffusion Prediction via Test-Time Training
Wenting Zhu, Chaozhuo Li, Litian Zhang et al.
Representation Learning Based Predicate Invention on Knowledge Graphs
Man Zhu, Pengfei Huang, Lei Gu et al.
The Adaptive Q-Network for Recommendation Tasks with Dynamic Item Space
Jianxiang Zhu, Dandan Lai, Zhongcui Ma et al.
Dynamic Spectral Graph Anomaly Detection
Jianbo Zheng, Chao Yang, Tairui Zhang et al.
TRACI: A Data-centric Approach for Multi-Domain Generalization on Graphs
Yusheng Zhao, Changhu Wang, Xiao Luo et al.
Amodal Scene Analysis via Holistic Occlusion Relation Inference and Generative Mask Completion
Bowen Zhang, Qing Liu, Jianming Zhang et al.
Neighborhood-Aware Negative Sampling for Student Knowledge and Behavior Modeling
Siqian Zhao, Sherry Sahebi
Highly Imperceptible Black-Box Graph Injection Attacks with Reinforcement Learning
Maochang Zhao, Jing Zhang
A Lightweight Sparse Interaction Network for Time Series Forecasting
Xu Zhang, Qitong Wang, Peng Wang et al.
Integrating Large Language Models and Möbius Group Transformations for Temporal Knowledge Graph Embedding on the Riemann Sphere
Sensen Zhang, Xun Liang, Simin Niu et al.
Amalgamating Multi-Task Models with Heterogeneous Architectures
Jidapa Thadajarassiri, Walter Gerych, Xiangnan Kong et al.
Trigger3:Refining Query Correction via Adaptive Model Selector
Kepu Zhang, Zhongxiang Sun, Xiao Zhang et al.
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation
Jinyu Zhang, Zhongying Zhao, Chao Li et al.
A Separation and Alignment Framework for Black-Box Domain Adaptation
Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference
Jiaqiang Zhang, Songcan Chen
DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval
Fan Zhang, Changhu Wang, Zebang Cheng et al.
Efficient Look-Up Table from Expanded Convolutional Network for Accelerating Image Super-resolution
Kai Yin, Jie Shen
Core Knowledge Learning Framework for Graph
Bowen Zhang, Zhichao Huang, Guangning Xu et al.
Instance-Conditional Timescales of Decay for Nonstationary Learning
Nishant Jain, Pradeep Shenoy
Fast Track to Winning Tickets: Repowering One-Shot Pruning for Graph Neural Networks
Yanwei Yue, Guibin Zhang, Haoran Yang et al.
KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking
Liu Liu, Anran Huang, Qi Wu et al.
Integer Is Enough: When Vertical Federated Learning Meets Rounding
Pengyu Qiu, Yuwen Pu, Yongchao Liu et al.
Fuzzy Collaborative Reasoning
Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan et al.
Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection
Zhizhi Yu, Chundong Liang, Xinglong Chang et al.
M²N: A Progressive Macro-to-Micro 3D Modeling Scheme for Unveiling Drug-Target Affinity
Tianxu Lv, Jie Zhu, Jinyi Liu et al.
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation
Penghang Yu, Zhiyi Tan, Guanming Lu et al.
Curriculum Conditioned Diffusion for Multimodal Recommendation
Yimeng Yang, Haokai Ma, Lei Meng et al.
Harnessing Language Model for Cross-Heterogeneity Graph Knowledge Transfer
Jinyu Yang, Ruijia Wang, Cheng Yang et al.
Graph Neural Networks with Soft Association between Topology and Attribute
Yachao Yang, Yanfeng Sun, Shaofan Wang et al.
Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection
Bokang Yang, Zhe Zhang, Jie Ma
Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking
Zhengfei Xu, Sijia Zhao, Yanchao Hao et al.
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
Xiaolong Xu, Yibo Zhou, Haolong Xiang et al.
Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering
Mingtao Xu, Wei Wei, Peixuan Yang et al.
KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank
Kuan Xu, Kuo Yang, Jian Liu et al.
Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning
Fei Xiong, Tao Zhang, Shirui Pan et al.
Cross-Domain Trajectory Association Based on Hierarchical Spatiotemporal Enhanced Attention Hypergraph
Chenlong Wu, Ze Wang, Keqing Cen et al.
Counterfactual Task-augmented Meta-learning for Cold-start Sequential Recommendation
Zhiqiang Wang, Jiayi Pan, Xingwang Zhao et al.
Federated Recommendation with Explicitly Encoding Item Bias
Zhihao Wang, He Bai, Wenke Huang et al.
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
Shicheng Wang, Hengzhu Tang, Li Gao et al.
United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus
Qiao Zhang, Tao Xiang, Chunsheng Xin et al.
Risk-Conditioned Reinforcement Learning: A Generalized Approach for Adapting to Varying Risk Measures
Gwangpyo Yoo, Jinwoo Park, Honguk Woo
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
Zihui Gu, Xingwu Sun, Fengzong Lian et al.
MID-FiLD: MIDI Dataset for Fine-Level Dynamics
Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon et al.
MDFG: Multi-Dimensional Fine-Grained Modeling for Fatigue Detection
Mei Wang, Xiaojie Zhu, Ruimin Hu et al.
ScoreNet: Consistency-driven Framework with Multi-side Information Fusion for Session-based Recommendation
Piao Tong, Qiao Liu, Zhipeng Zhang et al.
CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation
Shuai Tang, Sitao Lin, Jianghong Ma et al.
Language Pre-training Guided Masking Representation Learning for Time Series Classification
Liaoyuan Tang, Zheng Wang, Jie Wang et al.
Hubness Change Point Detection
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
Genomics Data Lossless Compression with (S, K)-Mer Encoding and Deep Neural Networks
Hui Sun, Liping Yi, Huidong Ma et al.
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
Te Song, Lianyong Qi, Weiming Liu et al.
CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems
Kerian Thuillier, Anne Siegel, Loïc Paulevé
Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation
Chao Song, Zheng Ren, Li Lu
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience
Brijraj Singh, Sonal, Niranjan Pedanekar
Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks
Weixuan Shen, Xiaobo Shen, Shirui Pan
Towards Loss-Resilient Image Coding for Unstable Satellite Networks
Hongwei Sha, Muchen Dong, Quanyou Luo et al.
Hyperparametric Robust and Dynamic Influence Maximization
Arkaprava Saha, Bogdan Cautis, Xiaokui Xiao et al.
GenAL: Generative Agent for Adaptive Learning
Rui Lv, Qi Liu, Weibo Gao et al.
Domain-Level Disentanglement Framework Based on Information Enhancement for Cross-Domain Cold-Start Recommendation
Nian Rong, Fei Xiong, Shirui Pan et al.
GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model
Yifang Qin, Jiaxuan Xie, Zhiping Xiao et al.
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
Yiran Qiao, Ningtao Wang, Yuncong Gao et al.
Seeing Beyond Noise: Joint Graph Structure Evaluation and Denoising for Multimodal Recommendation
Yuxin Qi, Quan Zhang, Xi Lin et al.
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
Lingyu Mu, Zhengxiao Liu, Zhitong Zhu et al.
DOGE: LLMs-Enhanced Hyper-Knowledge Graph Recommender for Multimodal Recommendation
Fanshen Meng, Zhenhua Meng, Ru Jin et al.
MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships
Tanglong Zhao, Ruifang He, Jing Xu et al.
GenAuction: A Generative Auction for Online Advertising
Yuchao Ma, Ruohan Qian, Bingzhe Wang et al.
On Designing the Optimal Integrated Ad Auction in E-commerce Platforms
Yuchao Ma, Weian Li, Yuhan Wang et al.
Sub-Interest-Aware Representation Uniformity for Recommender System
Ruijia Ma, Yahong Lian, Chunyao Song
Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation
Mingyang Lv, Xiangfeng Liu, Yuanbo Xu
Enhancing Sequential Recommendation with Global Diffusion
Mingxuan Luo, Yang Li, Chen Lin
Densest k-Subgraph Mining via a Provably Tight Relaxation
Qiheng Lu, Nicholas D Sidiropoulos, Aritra Konar
Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations
Yuguang Liu, Yiyun Miao, Luyao Xia
Limited-Supervised Multi-Label Learning with Dependency Noise
Yejiang Wang, Yuhai Zhao, Zhengkui Wang et al.
Altruism in Facility Location Problems
Hau Chan, Minming Li, Houyu Zhou
Deep Semantic Graph Transformer for Multi-View 3D Human Pose Estimation
Lijun Zhang, Kangkang Zhou, Feng Lu et al.
Task-Adaptive Prompted Transformer for Cross-Domain Few-Shot Learning
Jiamin Wu, Xin Liu, Xiaotian Yin et al.
Is a Large Language Model a Good Annotator for Event Extraction?
Ruirui Chen, Chengwei Qin, Weifeng Jiang et al.
THGNets: Constrained Temporal Hypergraphs and Graph Neural Networks in Hyperbolic Space for Information Diffusion Prediction
Yanchao Liu, Pengzhou Zhang, Wenchao Song et al.
Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation
Lingzi Zhang, Xin Zhou, Zhiwei Zeng et al.
Effective and Efficient Representation Learning for Flight Trajectories
Shuo Liu, Wenbin Li, Di Yao et al.
Exploring the Relationship Between Samples and Masks for Robust Defect Localization
Jiang Lin, Hui Xue, Fanxiu Sun et al.
Clarifying the Behavior and the Difficulty of Adversarial Training
Xu Cheng, Hao Zhang, Yue Xin et al.
Iterative Sparse Attention for Long-sequence Recommendation
Guanyu Lin, Jinwei Luo, Yinfeng Li et al.
Structure Balance and Gradient Matching-Based Signed Graph Condensation
Rong Li, Long Xu, Songbai Liu et al.
Public Opinion Field Effect and Hawkes Process Join Hands for Information Popularity Prediction
Junliang Li, Yajun Yang, Yujia Zhang et al.
Disentangled Contrastive Bundle Recommendation with Conditional Diffusion
Jiuqiang Li
Contrastive Representation for Interactive Recommendation
Jingyu Li, Zhiyong Feng, Dongxiao He et al.
Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination
Lingdu Kong, Xiaochun Yang, Tieying Li et al.
Delegation-Relegation for Boolean Matrix Factorization
Florent Avellaneda, Roger Villemaire
ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems
Taeho Kim, Hyeongjun Jang, Juwon Yu et al.
Bites of Tomorrow: Personalized Recommendations for a Healthier and Greener Plate
Jiazheng Jing, Yinan Zhang, Chunyan Miao
DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding
Xiaoxuan Yu, Hao Wang, Weiming Li et al.
HLMEA: Unsupervised Entity Alignment Based on Hybrid Language Models
Xiongnan Jin, Zhilin Wang, Jinpeng Chen et al.
Auto Encoding Neural Process for Multi-interest Recommendation
Yiheng Jiang, Yuanbo Xu, Yongjian Yang et al.
Time Series Supplier Allocation via Deep Black-Litterman Model
Xinke Jiang, Wentao Zhang, Yuchen Fang et al.
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation
Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.
Learning Small Decision Trees for Data of Low Rank-Width
Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.
Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval
Yu Liu, Guihe Qin, Haipeng Chen et al.
Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution
Yuwen Ji, Wenbo Xie, Jiaqi Zhang et al.
Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation
Jun Hu, Bryan Hooi, Bingsheng He et al.
Discovering Sequential Patterns with Predictable Inter-event Delays
Joscha Cüppers, Paul Krieger, Jilles Vreeken
MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction
Dongsheng Hong, Chao Chen, Xujia Li et al.
Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction
Sicheng He, Junzhong Ji, Minglong Lei
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
Shuwei Gong, Yuting Liu, Yizhou Dang et al.
Mixed-Curvature Multi-Modal Knowledge Graph Completion
Yuxiao Gao, Fuwei Zhang, Zhao Zhang et al.
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
Qiang Gao, Zizheng Wang, Li Huang et al.
Both Supply and Precision: Sample Debias and Ranking Consistency Joint Learning for Large Scale Pre-Ranking System
Feng Gao, Xin Zhou, Yinning Shao et al.
Global Attribute-Association Pattern Aggregation for Graph Fraud Detection
Mingjiang Duan, Da He, Tongya Zheng et al.
On Finding Hubs in High Dimensions with Sampling
Huiwen Dong, Linghan Zeng, Zhiwen Zhao et al.
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
Wei Dai, Kai Hwang, Jicong Fan
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
Seoyoung Cho, Jaesung Hwang, Kwan-Young Bak et al.
NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Resolution
Yexing Song, Meilin Wang, Zhijing Yang et al.
Submodel Enumeration for CTL Is Hard
Nicolas Fröhlich, Arne Meier
DAMMFND: Domain-Aware Multimodal Multi-view Fake News Detection
Weihai Lu, Yu Tong, Zhiqiu Ye
TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning
Yupei Liu, Yanting Wang, Jinyuan Jia
In-context Prompt-augmented Micro-video Popularity Prediction
Zhangtao Cheng, Jiao Li, Jian Lang et al.
MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction
Di Wu, Wu Sun, Yi He et al.
Descriptive and Discriminative Document Identifiers for Generative Retrieval
Jiehan Cheng, Zhicheng Dou, Yutao Zhu et al.
Designing Specialized Two-Dimensional Graph Spectral Filters for Spatial-Temporal Graph Modeling
Yuxin Chen, Fangru Lin, Jingyi Huo et al.
LLM-DR: A Novel LLM-Aided Diffusion Model for Rule Generation on Temporal Knowledge Graphs
Kai Chen, Xin Song, Ye Wang et al.
Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning
Jiajie Chen, Yu Sang, Peng-Fei Zhang et al.
Revisiting Multimodal Emotion Recognition in Conversation from the Perspective of Graph Spectrum
Wei Ai, Fuchen Zhang, Yuntao Shou et al.
Motif-aware Graph Neural Networks for Networked Time Series Imputation
Nourhan Ahmed, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme
Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories
Andoni Rodríguez, César Sánchez
LaViP: Language-Grounded Visual Prompting
Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi
On the Modelling of Constraints with Tractable Logical Operators
Ruiwei Wang, Roland H. C. Yap
Solving Higher-Order Quantified Boolean Satisfiability via Higher-Order Model Checking
Hiroshi Unno, Takeshi Tsukada, Jie-Hong Roland Jiang
Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network
Yuta Shikuri
Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning
Shaohui Peng, Xing Hu, Qi Yi et al.
Adaptive Graph Learning for Multimodal Conversational Emotion Detection
Geng Tu, Tian Xie, Bin Liang et al.
NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching
Hongbo Zhang, Guang Wang, Xu Wang et al.
Computationally Hard Problems Are Hard for QBF Proof Systems Too
Agnes Schleitzer, Olaf Beyersdorff
Towards Real-Time Approximate Counting
Yash Pote, Kuldeep S. Meel, Jiong Yang
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models
Haoyuan Wu, Xinyun Zhang, Peng Xu et al.
Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning
Zeping Min, Jinfeng Bai, Chengfei Li
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Program
Yi-Xiang Hu, Feng Wu, Shaoang Li et al.
Parameterized Complexity of Caching in Networks
Robert Ganian, Fionn Mc Inerney, Dimitra Tsigkari
Proof Simulation via Round-based Strategy Extraction for QBF
Leroy Chew
GPU-Accelerated Parallel Bilevel Optimization for Roubst 6G ISAC
Xingdi Chen, Kai Yang
Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits
Ji Cheng, Bo Xue, Jiaxiang Yi et al.
Linear Equations with Min and Max Operators: Computational Complexity
Krishnendu Chatterjee, Ruichen Luo, Raimundo Saona et al.
Enhancing the Adversarial Robustness via Manifold Projection
Zhiting Li, Shibai Yin, Tai-Xiang Jiang et al.
Optimal Classification Trees for Continuous Feature Data Using Dynamic Programming with Branch-and-Bound
Cătălin E. Brița, Jacobus G. M. van der Linden, Emir Demirović
Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
Swann Bessa, Darius Dabert, Max Bourgeat et al.
L-Man: A Large Multi-modal Model Unifying Human-centric Tasks
Jialong Zuo, Ying Nie, Tianyu Guo et al.
On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria
Brian Zhang, Tuomas Sandholm
Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning
Zhenfeng Zhuang, Min Cen, Yanfeng Li et al.
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization
Jiaying Zhu, Dong Li, Xueyang Fu et al.
DRF: Improving Certified Robustness via Distributional Robustness Framework
Zekai Wang, Zhengyu Zhou, Weiwei Liu
GoHD: Gaze-oriented and Highly Disentangled Portrait Animation with Rhythmic Poses and Realistic Expressions
Ziqi Zhou, Weize Quan, Hailin Shi et al.
An Exemplar-based Framework for Chinese Text Recognition
Zhao Zhou, Xiangcheng Du, Yingbin Zheng et al.