| 2026 | ACL | JW-SVD: Bridging the Cross-Modal Mismatch in Post-Training MLLM Compression. | Runchao Li, Yao Fu, Mu Sheng, Haotian Yu, Xianxuan Long, Kenneth A. Loparo |
| 2026 | EACL | Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance. | Yao Fu, Ran Qiu, Xinhe Wang, Jacob Sansom, Sathvika Ayyappa Prabhu, Huijie Tang, Jaekyeom Kim, Sungryull Sohn, Honglak Lee |
| 2025 | ACL | Interactive and Expressive Code-Augmented Planning with Large Language Models. | Anthony Zhe Liu, Xinhe Wang, Jacob Sansom, Yao Fu, Jongwook Choi, Sungryull Sohn, Jaekyeom Kim, Honglak Lee |
| 2025 | ACL | Digest the Knowledge: Large Language Models empowered Message Passing for Knowledge Graph Question Answering. | Junhong Wan, Tao Yu, Kunyu Jiang, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2025 | CIKM | Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting. | Tao Yu, Junhong Wan, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2025 | CIKM | Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation. | Weihao Jiang, Yao Fu, Hong Zhao, Xiaoyu Cai, Ruiheng Yang, Linsen Li, Jiang Zhu |
| 2025 | EMNLP | Pruning Weights but Not Truth: Safeguarding Truthfulness While Pruning LLMs. | Yao Fu, Runchao Li, Xianxuan Long, Haotian Yu, Xiaotian Han, Yu Yin, Pan Li |
| 2025 | EMNLP | Quantized but Deceptive? A Multi-Dimensional Truthfulness Evaluation of Quantized LLMs. | Yao Fu, Xianxuan Long, Runchao Li, Haotian Yu, Mu Sheng, Xiaotian Han, Yu Yin, Pan Li |
| 2025 | EMNLP | FAEDKV: Infinite-Window Fourier Transform for Unbiased KV Cache Compression. | Runchao Li, Yao Fu, Mu Sheng, Xianxuan Long, Haotian Yu, Pan Li |
| 2025 | EMNLP | When Truthful Representations Flip Under Deceptive Instructions? | Xianxuan Long, Yao Fu, Runchao Li, Mu Sheng, Haotian Yu, Xiaotian Han, Pan Li |
| 2025 | ICLR | Retrieval Head Mechanistically Explains Long-Context Factuality. | Wenhao Wu, Yizhong Wang, Guangxuan Xiao, Hao Peng, Yao Fu |
| 2025 | ICLR | DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads. | Guangxuan Xiao, Jiaming Tang, Jingwei Zuo, Junxian Guo, Shang Yang, Haotian Tang, Yao Fu, Song Han |
| 2025 | SNPD | DAHG: Heterogeneous Graph-Based Dual Attention for Emotion Recognition in Conversations. | Yao Fu, Junpeng Gong, Pengzhou Zhang, Zhanxin Yang, Juan Cao |
| 2024 | ICLR | MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning. | Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang, Huan Sun, Yu Su, Wenhu Chen |
| 2024 | ICML | Data Engineering for Scaling Language Models to 128K Context. | Yao Fu, Rameswar Panda, Xinyao Niu, Xiang Yue, Hannaneh Hajishirzi, Yoon Kim, Hao Peng |
| 2024 | ICML | OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models. | Fuzhao Xue, Zian Zheng, Yao Fu, Jinjie Ni, Zangwei Zheng, Wangchunshu Zhou, Yang You |
| 2024 | ISCA | Circular Reconfigurable Parallel Processor for Edge Computing : Industrial Product ✶. | Yuan Li, Jianbin Zhu, Yao Fu, Yu Lei, Toshio Nagata, Ryan Braidwood, Haohuan Fu, Juepeng Zheng, Wayne Luk, Hongxiang Fan |
| 2024 | KDD | SensitiveHUE: Multivariate Time Series Anomaly Detection by Enhancing the Sensitivity to Normal Patterns. | Yuye Feng, Wei Zhang, Yao Fu, Weihao Jiang, Jiang Zhu, Wenqi Ren |
| 2024 | OSDI | ServerlessLLM: Low-Latency Serverless Inference for Large Language Models. | Yao Fu, Leyang Xue, Yeqi Huang, Andrei-Octavian Brabete, Dmitrii Ustiugov, Yuvraj Patel, Luo Mai |
| 2023 | CIKM | Cognitive-inspired Graph Redundancy Networks for Multi-source Information Fusion. | Yao Fu, Junhong Wan, Junlan Yu, Weihao Jiang, Shiliang Pu |
| 2023 | CIKM | Liberate Pseudo Labels from Over-Dependence: Label Information Migration on Sparsely Labeled Graphs. | Zhihui Hu, Yao Fu, Hong Zhao, Xiaoyu Cai, Weihao Jiang, Shiliang Pu |
| 2023 | CIKM | GraphFADE: Field-aware Decorrelation Neural Network for Graphs with Tabular Features. | Junhong Wan, Yao Fu, Junlan Yu, Weihao Jiang, Shiliang Pu, Ruiheng Yang |
| 2023 | ICLR | Complexity-Based Prompting for Multi-step Reasoning. | Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, Tushar Khot |
| 2023 | ICLR | Decomposed Prompting: A Modular Approach for Solving Complex Tasks. | Tushar Khot, Harsh Trivedi, Matthew Finlayson, Yao Fu, Kyle Richardson, Peter Clark, Ashish Sabharwal |
| 2023 | ICML | Go Beyond Imagination: Maximizing Episodic Reachability with World Models. | Yao Fu, Run Peng, Honglak Lee |
| 2023 | ICML | Specializing Smaller Language Models towards Multi-Step Reasoning. | Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot |
| 2023 | KDD | PROSE: Graph Structure Learning via Progressive Strategy. | Huizhao Wang, Yao Fu, Tao Yu, Linghui Hu, Weihao Jiang, Shiliang Pu |
| 2023 | KSEM | Citation Recommendation Based on Knowledge Graph and Multi-task Learning. | Jing Wan, Minghui Yuan, Danya Wang, Yao Fu |
| 2023 | MICCAI | FASSt: Filtering via Symmetric Autoencoder for Spherical Superficial White Matter Tractography. | Yuan Li, Xinyu Nie, Yao Fu, Yonggang Shi |
| 2022 | CIKM | Memory Graph with Message Rehearsal for Multi-Turn Dialogue Generation. | Xiaoyu Cai, Yao Fu, Hong Zhao, Weihao Jiang, Shiliang Pu |
| 2022 | CIKM | Cognize Yourself: Graph Pre-Training via Core Graph Cognizing and Differentiating. | Tao Yu, Yao Fu, Linghui Hu, Huizhao Wang, Weihao Jiang, Shiliang Pu |
| 2022 | HCI | Social Exposure and Burnout During the Pandemic: An Investigation on Three Different Positions of Frontline Metro Staffs. | Yao Fu, Ranran Li, Jingyu Zhang, Zizheng Guo, Guo Feng |
| 2022 | ICML | Scaling Structured Inference with Randomization. | Yao Fu, John P. Cunningham, Mirella Lapata |
| 2022 | IJCNN | Graph Intention Neural Network for Knowledge Graph Reasoning. | Weihao Jiang, Yao Fu, Hong Zhao, Junhong Wan, Shiliang Pu |
| 2022 | IJCNN | Tackling Over-Smoothing: Graph Hollow Convolution Network with Topological Layer Fusion. | Junhong Wan, Yao Fu, Weihao Jiang, Shiliang Pu, Junlan Yu |
| 2022 | NAACL | Few-shot Subgoal Planning with Language Models. | Lajanugen Logeswaran, Yao Fu, Moontae Lee, Honglak Lee |
| 2022 | OSDI | Ekko: A Large-Scale Deep Learning Recommender System with Low-Latency Model Update. | Chijun Sima, Yao Fu, Man-Kit Sit, Liyi Guo, Xuri Gong, Feng Lin, Junyu Wu, Yongsheng Li, Haidong Rong, Pierre-Louis Aublin, Luo Mai |
| 2022 | PAKDD | Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. | Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu |
| 2022 | PAKDD | Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. | Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai |
| 2021 | AAAI | Nested Named Entity Recognition with Partially-Observed TreeCRFs. | Yao Fu, Chuanqi Tan, Mosha Chen, Songfang Huang, Fei Huang |
| 2021 | ICLR | Probing BERT in Hyperbolic Spaces. | Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing |
| 2021 | ICLR | Prototypical Representation Learning for Relation Extraction. | Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang |
| 2021 | IGARSS | Deformation of Chengdu Downtown with Sentinel-1A. | Tianming Shao, Mingcang Zhu, Yong He, Boya Yang, Zhanyong He, Fangrong Zhou, Juan Ren, Hongqiong Tang, Yao Fu, Zezhong Zheng, Zhongnian Li, Guoqing Zhou, Zhiyong Wang, Mingqi Li, Ling Jiang |
| 2021 | NAACL | Noisy-Labeled NER with Confidence Estimation. | Kun Liu, Yao Fu, Chuanqi Tan, Mosha Chen, Ningyu Zhang, Songfang Huang, Sheng Gao |
| 2020 | ICLR | Model-Augmented Actor-Critic: Backpropagating through Paths. | Ignasi Clavera, Yao Fu, Pieter Abbeel |
| 2020 | ICTAI | Preference-aware Heterogeneous Graph Neural Networks for Recommendation. | Yao Fu, Junhong Wan, Hong Zhao, Weihao Jiang, Shiliang Pu |
| 2019 | INLG | Rethinking Text Attribute Transfer: A Lexical Analysis. | Yao Fu, Hao Zhou, Jiaze Chen, Lei Li |
| 2018 | NAACL | Natural Answer Generation with Heterogeneous Memory. | Yao Fu, Yansong Feng |
| 2014 | IPCO | A $\frac{5}{4}$ -Approximation for Subcubic 2EC Using Circulations. | Sylvia C. Boyd, Yao Fu, Yu Sun |
| 2008 | ISKE | Palmprint verification based on genetic algorithm. | Yan Jin, Miao Qi, Yinghua Lu, Yao Fu, Jun Kong |