Chenghao Liu

TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models AAAI 2026 A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization NAACL 2025 David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning EMNLP 2025 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts ICML 2025 VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters ICML 2025 Characterizing ResNet’s Universal Approximation Capability ICML 2024 Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank ICML 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate ICML 2024 RGFN: Synthesizable Molecular Generation Using GFlowNets NeurIPS 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NeurIPS 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NeurIPS 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts EMNLP 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Continual Normalization: Rethinking Batch Normalization for Online Continual Learning ICLR 2022 CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting ICLR 2022 LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank NeurIPS 2022 Contextual Transformation Networks for Online Continual Learning ICLR 2021 DualNet: Continual Learning, Fast and Slow NeurIPS 2021 Node-wise Localization of Graph Neural Networks IJCAI 2021 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 Adaptive Task Sampling for Meta-Learning ECCV 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 2020 UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues EMNLP 2020 Discrete Social Recommendation AAAI 2019 Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019 Reference Network for Neural Machine Translation ACL 2019 Locally Linear Factorization Machines IJCAI 2017