AAAI 2024

2,864 papers

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition

Han Lu, Xiahai Zhuang, Qiang Luo

Music Style Transfer with Time-Varying Inversion of Diffusion Models

Sifei Li, Yuxin Zhang, Fan Tang, Chongyang Ma, Weiming Dong

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li, Liang Liao

Neural Amortized Inference for Nested Multi-Agent Reasoning

Kunal Jha, Tuan Anh Le, Chuanyang Jin, Yen-Ling Kuo, Joshua B. Tenenbaum

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model

Zhejing Hu, Yan Liu, Gong Chen, Xiao Ma, Shenghua Zhong

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li, Guobin Shen, Qingqun Kong

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian, Hyeonsu Kang, Joel Chan

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang, Jian K. Liu

Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation

Yingjie Chen, Jiarui Zhang, Tao Wang, Yun Liang

Social Physics Informed Diffusion Model for Crowd Simulation

Hongyi Chen, Jingtao Ding, Yong Li, Yue Wang, Xiao-Ping Zhang

An Empirical Study of CLIP for Text-Based Person Search

Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang

Neural Reasoning about Agents’ Goals, Preferences, and Actions

Matteo Bortoletto, Lei Shi, Andreas Bulling

Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition

Paul M. Bodily, Dan Ventura

Hot or Cold? Adaptive Temperature Sampling for Code Generation with Large Language Models

YUQI ZHU, Jia Li, Ge Li, YunFei Zhao, Zhi Jin

Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction

Jian Zhu, Congcong Liu, Xue Jiang, Changping Peng, Zhangang Lin

Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms

Rui-Xiao Zhang, Tianchi Huang

Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery

Jialu Zhang, Xiaoying Yang, Wentao He, Jianfeng Ren, Qian Zhang

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Hongbo Zhang, Guang Wang, Xu Wang, Zhengyang Zhou, Chen Zhang

Adversarial Socialbots Modeling Based on Structural Information Principles

Xianghua Zeng, Hao Peng, Angsheng Li

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning

Xi Zeng, Xiaotian Hao, Hongyao Tang, Zhentao Tang, Shaoqing Jiao

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu

MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music

Shuai Yu

Unsupervised Gene-Cell Collective Representation Learning with Optimal Transport

Jixiang Yu, Nanjun Chen, Ming Gao, Xiangtao Li, Ka-Chun Wong

GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking

Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation

Can Xu, Haosen Wang, Weigang Wang, Pengfei Zheng, Hongyang Chen

Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction

Zhousan Xie, Shikui Tu, Lei Xu

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Tailin Wu, Willie Neiswanger, Hongtao Zheng, Stefano Ermon, Jure Leskovec

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

Lirong Wu, Yufei Huang, Cheng Tan, Zhangyang Gao, Bozhen Hu

Explore 3D Dance Generation via Reward Model from Automatically-Ranked Demonstrations

Zilin Wang, Haolin Zhuang, Lu Li, Yinmin Zhang, Junjie Zhong

SuperJunction: Learning-Based Junction Detection for Retinal Image Registration

Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng

Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance

Yingheng Wang, Shufeng Kong, John M. Gregoire, Carla P. Gomes

Inspecting Prediction Confidence for Detecting Black-Box Backdoor Attacks

Tong Wang, Yuan Yao, Feng Xu, Miao Xu, Shengwei An

Generalizable Sleep Staging via Multi-Level Domain Alignment

Jiquan Wang, Sha Zhao, Haiteng Jiang, Shijian Li, Tao Li

Molecular Optimization Model with Patentability Constraint

Sally Turutov, Kira Radinsky

Dual-Channel Learning Framework for Drug-Drug Interaction Prediction via Relation-Aware Heterogeneous Graph Transformer

Xiaorui Su, Pengwei Hu, Zhu-Hong You, Philip S. Yu, Lun Hu

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations

Rui She, Sijie Wang, Qiyu Kang, KAI ZHAO, Yang Song

MID-FiLD: MIDI Dataset for Fine-Level Dynamics

Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon, Eunchong Kim, Ju Young Yang

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB

Shengheng Liu, Xingkang Li, Zihuan Mao, Peng Liu, Yongming Huang

Root Cause Analysis in Microservice Using Neural Granger Causal Discovery

Cheng-Ming Lin, Ching Chang, Wei-Yao Wang, Kuang-Da Wang, Wen-Chih Peng

Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification

Minghui Liao, Guojia Wan, Bo Du

Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation

Zhengyi Li, Menglu Li, Lida Zhu, Wen Zhang

The Causal Impact of Credit Lines on Spending Distributions

Yijun Li, Cheuk Hang Leung, Xiangqian Sun, Chaoqun Wang, Yiyan Huang

Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series Forecasting

Yanhong Li, Jack Xu, David Anastasiu

MASTER: Market-Guided Stock Transformer for Stock Price Forecasting

Tong Li, Zhaoyang Liu, Yanyan Shen, xue wang, Haokun Chen

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeiL Oh

ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing

Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang

FlightBERT++: A Non-autoregressive Multi-Horizon Flight Trajectory Prediction Framework

Dongyue Guo, Zheng Zhang, Zhen Yan, Jianwei Zhang, Yi Lin

Adversarial Robust Safeguard for Evading Deep Facial Manipulation

Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu

Text-Guided Molecule Generation with Diffusion Language Model

Haisong Gong, Qiang Liu, Shu Wu, Liang Wang

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables

Haisong Gong, Weizhi Xu, Shu Wu, Qiang Liu, Liang Wang

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Na Fan, Zeyue Tian, Amartansh Dubey, Samruddhi Deshmukh, Ross Murch

Prompt to Transfer: Sim-to-Real Transfer for Traffic Signal Control with Prompt Learning

Longchao Da, Minquan Gao, Hao Mei, Hua Wei

Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection

Chaoqun Cui, Caiyan Jia

Deep Quantum Error Correction

Yoni Choukroun, Lior Wolf

GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

Le Cheng, Peican Zhu, Keke Tang, Chao Gao, Zhen Wang

i-Rebalance: Personalized Vehicle Repositioning for Supply Demand Balance

Haoyang Chen, Peiyan Sun, Qiyuan Song, Wanyuan Wang, Weiwei Wu

Neural Embeddings for kNN Search in Biological Sequence

Zhihao Chang, Linzhu Yu, Yanchao Xu, Wentao Hu

SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter

Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng

Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback

Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash, Sowmya Ramaswamy Krishnan, Lovekesh Vig

Towards Automated RISC-V Microarchitecture Design with Reinforcement Learning

Chen Bai, Jianwang Zhai, Yuzhe Ma, Bei Yu, Martin D. F. Wong

A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation

Yongkang Wang, Xuan Liu, Feng Huang, Zhankun Xiong, Wen Zhang