| 2026 | AAAI | TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models. | Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang, Huiling Duan |
| 2026 | ISCAS | A 6.12-to-8.62GHz Class-F23 VCO with Series-LC Assistance Achieving 195.9dBc/Hz FoMT at 100kHz Offset. | Zihao Xia, Chenghao Liu, Zhiliang Hong, Yumei Huang |
| 2025 | EMNLP | David vs. Goliath: Cost-Efficient Financial QA via Cascaded Multi-Agent Reasoning. | Chenghao Liu, Qian Liu, Ziqin Zhu, Hao Fei, Aniket Mahanti |
| 2025 | ICML | Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. | Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo |
| 2025 | ICML | VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters. | Mouxiang Chen, Lefei Shen, Zhuo Li, Xiaoyun Joy Wang, Jianling Sun, Chenghao Liu |
| 2025 | MICCAI | Unsupervised Brain Tumor Segmentation via Bi-Level Optimization Guided by Radiological Reports. | Peng Zhang, Haowen Pang, Xinru Zhang, Xin Gao, Chenghao Liu, Xiaoming Hong, Runze Jiang, Yaou Liu, Chuyang Ye |
| 2025 | NAACL | A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. | Haoxin Liu, Chenghao Liu, B. Aditya Prakash |
| 2024 | ACL | PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning. | Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun |
| 2024 | HPCC | Incremental Label Distribution Learning with Scalable Graph Convolutional Networks. | Ziqi Jia, Xiaoyang Qu, Chenghao Liu, Jianzong Wang |
| 2024 | ICML | Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank. | Mouxiang Chen, Chenghao Liu, Zemin Liu, Zhuo Li, Jianling Sun |
| 2024 | ICML | ReLU Network with Width d+O(1) Can Achieve Optimal Approximation Rate. | Chenghao Liu, Minghua Chen |
| 2024 | ICML | Characterizing ResNet's Universal Approximation Capability. | Chenghao Liu, Enming Liang, Minghua Chen |
| 2024 | ICML | Unified Training of Universal Time Series Forecasting Transformers. | Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo |
| 2024 | ICPR | MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network. | Chengzhi Liu, Zihong Luo, Zheng Tao, Chenghao Liu, Yitao Xu, Zile Huang |
| 2024 | IJCNN | Long Short-Term Reasoning Network with Theory of Mind for Efficient Multi-Agent Cooperation. | Xiyun Li, Tielin Zhang, Chenghao Liu, Linghui Meng, Bo Xu |
| 2024 | KDD | Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift. | Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu |
| 2024 | WWW | Full-Attention Driven Graph Contrastive Learning: with Effective Mutual Information Insight. | Long Li, Zemin Liu, Chenghao Liu, Jianling Sun |
| 2023 | EMNLP | HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts. | Truong Do, Le Khiem, Quang Pham, TrungTin Nguyen, Thanh-Nam Doan, Binh Nguyen, Chenghao Liu, Savitha Ramasamy, Xiaoli Li, Steven C. H. Hoi |
| 2023 | ICASSP | OTW: Optimal Transport Warping for Time Series. | Fabian Latorre, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi |
| 2023 | ICLR | Learning Fast and Slow for Online Time Series Forecasting. | Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi |
| 2023 | ICML | Learning Deep Time-index Models for Time Series Forecasting. | Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi |
| 2023 | IJCAI | FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer. | Chenghao Liu, Xiaoyang Qu, Jianzong Wang, Jing Xiao |
| 2023 | WWW | HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer. | Qiheng Mao, Zemin Liu, Chenghao Liu, Jianling Sun |
| 2022 | ICLR | Continual Normalization: Rethinking Batch Normalization for Online Continual Learning. | Quang Pham, Chenghao Liu, Steven C. H. Hoi |
| 2022 | ICLR | CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting. | Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven C. H. Hoi |
| 2022 | KDD | Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank. | Mouxiang Chen, Chenghao Liu, Zemin Liu, Jianling Sun |
| 2022 | WWW | On Size-Oriented Long-Tailed Graph Classification of Graph Neural Networks. | Zemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang, Jianling Sun |
| 2021 | AAAI | Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph. | Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | ICLR | Contextual Transformation Networks for Online Continual Learning. | Quang Pham, Chenghao Liu, Doyen Sahoo, Steven C. H. Hoi |
| 2021 | IJCAI | Node-wise Localization of Graph Neural Networks. | Zemin Liu, Yuan Fang, Chenghao Liu, Steven C. H. Hoi |
| 2021 | MICCAI | Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. | Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye |
| 2021 | MICCAI | CarveMix: A Simple Data Augmentation Method for Brain Lesion Segmentation. | Xinru Zhang, Chenghao Liu, Ni Ou, Xiangzhu Zeng, Xiaoliang Xiong, Yizhou Yu, Zhiwen Liu, Chuyang Ye |
| 2021 | SIGIR | Adapting Interactional Observation Embedding for Counterfactual Learning to Rank. | Mouxiang Chen, Chenghao Liu, Jianling Sun, Steven C. H. Hoi |
| 2021 | SDM | Discrete Listwise Collaborative Filtering for Fast Recommendation. | Chenghao Liu, Tao Lu, Zhiyong Cheng, Xin Wang, Jianling Sun, Steven C. H. Hoi |
| 2020 | CIKM | Graph Prototypical Networks for Few-shot Learning on Attributed Networks. | Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu |
| 2020 | CVPR | MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. | Han Fu, Rui Wu, Chenghao Liu, Jianling Sun |
| 2020 | ECCV | Adaptive Task Sampling for Meta-learning. | Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi |
| 2020 | EMNLP | UniConv: A Unified Conversational Neural Architecture for Multi-domain Task-oriented Dialogues. | Hung Le, Doyen Sahoo, Chenghao Liu, Nancy F. Chen, Steven C. H. Hoi |
| 2020 | KDD | Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling. | Jianwen Yin, Chenghao Liu, Weiqing Wang, Jianling Sun, Steven C. H. Hoi |
| 2019 | AAAI | Discrete Social Recommendation. | Chenghao Liu, Xin Wang, Tao Lu, Wenwu Zhu, Jianling Sun, Steven C. H. Hoi |
| 2019 | ACL | Reference Network for Neural Machine Translation. | Han Fu, Chenghao Liu, Jianling Sun |
| 2019 | CVPR | Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. | Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi |
| 2019 | DASFAA | Online Collaborative Filtering with Implicit Feedback. | Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun-chen Chen, Min Wu, Jianling Sun |
| 2019 | KDD | Adaptive Unsupervised Feature Selection on Attributed Networks. | Jundong Li, Ruocheng Guo, Chenghao Liu, Huan Liu |
| 2019 | KDD | Social Recommendation with Optimal Limited Attention. | Xin Wang, Wenwu Zhu, Chenghao Liu |
| 2019 | MICCAI | Super-Resolved q-Space Deep Learning. | Chuyang Ye, Yu Qin, Chenghao Liu, Yuxing Li, Xiangzhu Zeng, Zhiwen Liu |
| 2019 | SIGIR | Compositional Coding for Collaborative Filtering. | Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, Steven C. H. Hoi |
| 2019 | SDM | Robust Factorization Machine: A Doubly Capped Norms Minimization. | Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2018 | AAAI | Unified Locally Linear Classifiers With Diversity-Promoting Anchor Points. | Chenghao Liu, Teng Zhang, Peilin Zhao, Jianling Sun, Steven C. H. Hoi |
| 2017 | CIKM | Interactive Social Recommendation. | Xin Wang, Steven C. H. Hoi, Chenghao Liu, Martin Ester |
| 2017 | ICDM | Large Scale Kernel Methods for Online AUC Maximization. | Yi Ding, Chenghao Liu, Peilin Zhao, Steven C. H. Hoi |
| 2017 | IJCAI | Locally Linear Factorization Machines. | Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun |
| 2016 | AAAI | Online ARIMA Algorithms for Time Series Prediction. | Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun |
| 2016 | CIKM | Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. | Chenghao Liu, Steven C. H. Hoi, Peilin Zhao, Jianling Sun, Ee-Peng Lim |
| 2011 | ICCCN | Parallel Adaptive HTTP Media Streaming. | Chenghao Liu, Imed Bouazizi, Moncef Gabbouj |
| 2011 | MMSys | Rate adaptation for adaptive HTTP streaming. | Chenghao Liu, Imed Bouazizi, Moncef Gabbouj |
| 2008 | ISM | Evaluation of Error Resilience Mechanisms for 3G Conversational Video. | Jegadish Devadoss, Varun Singh, Jrg Ott, Chenghao Liu, Ye-Kui Wang, Igor D. D. Curcio |