Papers
Learning Network Dismantling Without Handcrafted Inputs
Haozhe Tian, Pietro Ferraro, Robert Noel Shorten et al.
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
Hao Tian, Sheng Lu, Fuwen Tian et al.
CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution
Baoliang Tian, Yuxuan Si, Jilong Wang et al.
SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning
Ran Tao, Qiugang Zhan, Shantian Yang et al.
Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation
Jiong Tao, Yong-Liang Yang, Bailin Deng
FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation
Zichen Tang, Haihong E, Rongjin Li et al.
Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels
Xijia Tang, Yuhua Qian, Chao Xu et al.
Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning
Rui Tang, Biao Luo, Yongzheng Cui
Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis
Kai Tang, Yixuan Tang, Tianyi Chen et al.
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning
Dahao Tang, Nan Yang, Yanli Li et al.
Trusted Multi-view Learning for Long-tailed Classification
Chuanqing Tang, Yifei Shi, Guanghao Lin et al.
CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices
Cheng Tang, Guochong Sui, Wenqi Lou et al.
DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew
Zhou Tan, De Li, Yirui Huang et al.
Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
Zexi Tan, Xiaopeng Luo, Yunlin Liu et al.
Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks
Peng Tan, Feifan Yang, Zhi-Hao Tan et al.
E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering
Jiayao Tan, Tianle Liu, Fuyuan Hu et al.
Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang et al.
ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory
Cassandra Hui-Ming Tan, Budhitama Subagdja, Ah-Hwee Tan
I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables
Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi et al.
Tractable Sharpness-Aware Learning of Probabilistic Circuits
Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M P et al.
State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis
Xin Sun, Heng Zhou, Yuhao Wu et al.
Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution
Qi Sun, Zhen Cao, Kaige Geng et al.
Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection
Li Sun, Lanxu Yang, Jiayu Tian et al.
Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation
Jun Sun, Xinxin Zhang, Simin Hong et al.
Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning
Jiangfeng Sun, SiHao He, Zhonghong Ou et al.