Papers
CogTwin: A Hybrid Cognitive Architecture Framework for Adaptable and Cognitive Digital Twins
Sukanya Mandal, Noel E. O'Connor
CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq
Yicheng Liu, Sai Wu, Tianyun Zhang et al.
TCCD: Tree-guided Continuous Causal Discovery via Collaborative MCTS-Parameter Optimization
Jingjin Liu, Yingkai Xiao, Hankz Hankui Zhuo et al.
Optimizing the Battery-Swapping Problem in Urban E-Bike Systems with Reinforcement Learning
Wenjing Li, Zhao Li, Xuanwu Liu et al.
Empowering Quantum Serverless Circuit Deployment Optimization via Graph Contrastive Learning and Learning-to-Rank Co-designed Approaches
Tingting Li, Ziming Zhao, Jianwei Yin
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
Mengxuan Li, Ke Liu, Jialong Guo et al.
PCAN: A Pandemic-Compatible Attentive Neural Network for Retail Sales Forecasting
Fan Li, Guoxuan Wang, Huiyu Chu et al.
DeepFeatIoT: Unifying Deep Learned, Randomized, and LLM Features for Enhanced IoT Time Series Sensor Data Classification in Smart Industries
Muhammad Sakib Khan Inan, Kewen Liao
Optimize Battery Control: A Multi-Objective Evolutionary Ensemble Reinforcement Learning Approach
Jingwei Hu, Kai Xie, Zheng Fang et al.
Unified Molecule-Text Language Model with Discrete Token Representation
Shuhan Guo, Yatao Bian, Ruibing Wang et al.
Diversity-Aware Reinforcement Learning for de novo Drug Design
Hampus Gummesson Svensson, Christian Tyrchan, Ola Engkvist et al.
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
Xinyu Ding, Lexuan Chen, Siyu Liao et al.
Eye-See-You: Reverse Pass-Through VR and Head Avatars
Ankan Dash, Jingyi Gu, Guiling Wang et al.
Hallucination Reduction in Video-Language Models via Hierarchical Multimodal Consistency
Jisheng Dang, Shengjun Deng, Haochen Chang et al.
Rethinking Remaining Useful Life Prediction with Scarce Time Series Data: Regression Under Indirect Supervision
Jiaxiang Cheng, Yipeng Pang, Guoqiang Hu
RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement
ShouYu Chen, Liang Hu, JunTao Wang et al.
DL-KDD: Dual-Lightness Knowledge Distillation for Action Recognition in the Dark
Chi-Jui Chang, Oscar Tai-Yuan Chen, Vincent S. Tseng
SpeechHGT: A Multimodal Hypergraph Transformer for Speech-Based Early Alzheimer’s Disease Detection
Shagufta Abid, Dongyu Zhang, Ahsan Shehzad et al.
Situational-Constrained Sequential Resources Allocation via Reinforcement Learning
Libo Zhang, Yang Chen, Toru Takisaka et al.
Conditional Independent Test in the Presence of Measurement Error with Causal Structure Learning
Hongbin Zhang, Kezhou Chen, Nankai Lin et al.
Two-stage Risk Control with Application to Ranked Retrieval
Yunpeng Xu, Mufang Ying, Wenge Guo et al.
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags
Yewei Xia, Yixin Ren, Hong Cheng et al.
LLM-enhanced Score Function Evolution for Causal Structure Learning
Zidong Wang, Fei Liu, Qi Feng et al.
Approximate Lifted Model Construction
Malte Luttermann, Jan Speller, Marcel Gehrke et al.
Phenotypic Profile-Informed Generation of Drug-Like Molecules via Dual-Channel Variational Autoencoders
Hui Liu, Shiye Tian, Xuejun Liu