conftrace_
← Authors

Chenghao Liu

32 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+13 more ↓ 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) 🌍 Conference Polyglot (11)
πŸ—ΊοΈ Taxonomy Completionist (13) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (10) πŸ† Grand Slam πŸ‘₯ Mega-Team (23) 🧬 Topic Evolution πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (117) πŸš€ Conference Pioneer ⚑ Prolific Year (8) πŸ’Ž Century Club (31) πŸ“ˆ Trend Setter

Conferences

ICML (7) NIPS (5) ICLR (4) AAAI (3) EMNLP (3) IJCAI (3) ACL (2) CVPR (2) ECCV (1) JMLR (1) NAACL (1)

Top co-authors

Doyen Sahoo (10) Jianling Sun (8) Steven Hoi (7) Quang Pham (5) Gerald Woo (5) Zemin Liu (4) Steven C.H. Hoi (4) Silvio Savarese (3) Akshat Kumar (3) Zhuo Li (3)

Keywords

time series forecasting (3) graph neural network (2) large language model (2) few-shot learning (2) cross-modal retrieval (2) mixture of expert (2) federated learning (2) food computing (2) adversarial learning (1) matrix factorization (1) zero-shot learning (1) embedding learning (1) self-supervised learning (1) attention mechanism (1) representation learning (1) anomaly detection (1) neural machine translation (1) transfer learning (1) catastrophic forgetting (1) prompt engineering (1)

Papers

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 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 David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning EMNLP 2025 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 RGFN: Synthesizable Molecular Generation Using GFlowNets NIPS 2024 Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting NIPS 2024 Unified Training of Universal Time Series Forecasting Transformers ICML 2024 Characterizing ResNet’s Universal Approximation Capability ICML 2024 ReLU Network with Width $d+\mathcalO(1)$ Can Achieve Optimal Approximation Rate ICML 2024 Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation NIPS 2024 Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank ICML 2024 FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023 Learning Deep Time-index Models for Time Series Forecasting ICML 2023 Merlion: End-to-End Machine Learning for Time Series JMLR 2023 Learning Fast and Slow for Online Time Series Forecasting ICLR 2023 HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts EMNLP 2023 Continual Normalization: Rethinking Batch Normalization for Online Continual Learning ICLR 2022 LBD: Decouple Relevance and Observation for Individual-Level Unbiased Learning to Rank NIPS 2022 CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting ICLR 2022 Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021 DualNet: Continual Learning, Fast and Slow NIPS 2021 Node-wise Localization of Graph Neural Networks IJCAI 2021 Contextual Transformation Networks for Online Continual Learning ICLR 2021 Adaptive Task Sampling for Meta-Learning ECCV 2020 UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues EMNLP 2020 MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model CVPR 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