Yudong Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
39
Venues
25
Active years
2007–2026
Best venue rank
A*
Where they publish
- A*AAAI3 papers
- AISSRE3 papers
- ANAACL3 papers
- A*WWW3 papers
- ASIGCSE3 papers
- NationalFlAIRS3 papers
- A*ICML2 papers
- A*KDD2 papers
- BCOMPSAC1 paper
- A*HPCA1 paper
- A*ICCV1 paper
- AWACV1 paper
- A*ECCV1 paper
- A*ICLR1 paper
- A*MOBICOM1 paper
- AASSETS1 paper
- ADSN1 paper
- NationalRANLP1 paper
- BDASFAA1 paper
- BIJCNN1 paper
- ACIKM1 paper
- A*IJCAI1 paper
- A*SP1 paper
- AustralasianAI1 paper
- A*EMNLP1 paper
Papers
39 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COMPSAC | Building an Ableist Language Dataset With a Human-In-The-Loop Methodology for Inclusive Discourse in Autism Research. | Connor Costello, Maria Iliescu, Greyson Pendras, Yudong Liu, Shameem Ahmed |
| 2026 | HPCA | Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. | Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai Helen Li, Yiran Chen |
| 2025 | AAAI | Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors. | Siyuan Chen, Zhuofeng Wang, Zelong Guan, Yudong Liu, Phillip B. Gibbons |
| 2025 | ICCV | Keyframe-Oriented Vision Token Pruning: Enhancing Efficiency of Large Vision Language Models on Long-form Video Processing. | Yudong Liu, Jingwei Sun, Yueqian Lin, Jianyi Zhang, Jingyang Zhang, Ming Yin, Qinsi Wang, Hai Li, Yiran Chen |
| 2025 | ICML | CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models. | Qinsi Wang, Hancheng Ye, Ming-Yu Chung, Yudong Liu, Yueqian Lin, Martin Kuo, Mingyuan Ma, Jianyi Zhang, Yiran Chen |
| 2025 | WACV | Automatic Fish Age Prediction Using Deep Machine Learning: Combining Otolith Image, FT-NIR Spectra and Metadata Features. | Aotian Zheng, Jenq-Neng Hwang, Yudong Liu, Qiancheng Li, Beverly Barnett, Farron Wallace, Irina Benson, Thomas Helser |
| 2024 | AAAI | GridFormer: Point-Grid Transformer for Surface Reconstruction. | Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu |
| 2024 | ECCV | Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. | Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu |
| 2024 | ICLR | Multimodal Learning Without Labeled Multimodal Data: Guarantees and Applications. | Paul Pu Liang, Chun Kai Ling, Yun Cheng, Alexander Obolenskiy, Yudong Liu, Rohan Pandey, Alex Wilf, Louis-Philippe Morency, Russ Salakhutdinov |
| 2024 | ICML | FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. | Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth |
| 2024 | ISSRE | Can We Trust Auto-Mitigation? Improving Cloud Failure Prediction with Uncertain Positive Learning. | Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | ISSRE | Early Bird: Ensuring Reliability of Cloud Systems Through Early Failure Prediction. | Yudong Liu, Minghua Ma, Pu Zhao, Tianci Li, Bo Qiao, Shuo Li, Ze Li, Murali Chintalapati, Yingnong Dang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2024 | MOBICOM | Federated Black-box Prompt Tuning System for Large Language Models on the Edge. | Yiming Li, Jingwei Sun, Yudong Liu, Yuandong Zhang, Ang Li, Beidi Chen, Holger R. Roth, Daguang Xu, Tingjun Chen, Yiran Chen |
| 2024 | NAACL | MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response. | Zihao Deng, Yinghao Ma, Yudong Liu, Rongchen Guo, Ge Zhang, Wenhu Chen, Wenhao Huang, Emmanouil Benetos |
| 2024 | WWW | SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. | Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang |
| 2024 | SIGCSE | Crafting Disability Fairness Learning in Data Science: A Student-Centric Pedagogical Approach. | Pax Newman, Tyanin Opdahl, Yudong Liu, Scott Wehrwein, Yasmine N. Elglaly |
| 2023 | ASSETS | Large-Scale Anonymized Text-based Disability Discourse Dataset. | Brandon Palonis, Samantha Jane Dobesh, Selah Bellscheidt, Mohamed Wiem Mkaouer, Yudong Liu, Yasmine N. Elglaly |
| 2023 | DSN | How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. | Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, igo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang |
| 2023 | ISSRE | CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. | Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang |
| 2023 | RANLP | Introducing an Open Source Library for Sumerian Text Analysis. | Hansel Guzman-Soto, Yudong Liu |
| 2023 | WWW | EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. | Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2023 | SIGCSE | Towards Machine Learning Fairness Education in a Natural Language Processing Course. | Samantha Jane Dobesh, Tyler Miller, Pax Newman, Yudong Liu, Yasmine N. El-Glaly |
| 2022 | DASFAA | Predicting Rumor Veracity on Social Media with Graph Structured Multi-task Learning. | Yudong Liu, Xiaoyu Yang, Xi Zhang, Zhihao Tang, Zongyi Chen, Liwen Zheng |
| 2022 | IJCNN | Multi-modal False Information Detection Based on Adversarial Learning. | Tian Tian, Yudong Liu, Mengzhu Sun, Xi Zhang |
| 2022 | KDD | Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. | Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | KDD | NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. | Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | WWW | UniParser: A Unified Log Parser for Heterogeneous Log Data. | Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang |
| 2022 | SIGCSE | Exploration on Integrating Accessibility into an AI Course. | Chia-En Tseng, Seoung Ho Jung, Yasmine N. El-Glaly, Yudong Liu, Stephanie Ludi |
| 2020 | AAAI | CBNet: A Novel Composite Backbone Network Architecture for Object Detection. | Yudong Liu, Yongtao Wang, Siwei Wang, Tingting Liang, Qijie Zhao, Zhi Tang, Haibin Ling |
| 2020 | CIKM | QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection. | Tian Tian, Yudong Liu, Xiaoyu Yang, Yuefei Lyu, Xi Zhang, Binxing Fang |
| 2020 | IJCAI | Rumor Detection on Social Media with Graph Structured Adversarial Learning. | Xiaoyu Yang, Yuefei Lyu, Tian Tian, Yifei Liu, Yudong Liu, Xi Zhang |
| 2017 | FlAIRS | Dating Tablets in the Garshana Corpus. | James Hearne, Connon Anderson, Yudong Liu, Dannon Dixon, Dario Fenstermacher Ritchie |
| 2017 | SP | Biometric Authentication Using Mouse and Eye Movement Data. | Jamison Rose, Yudong Liu, Ahmed Awad |
| 2016 | FlAIRS | Recognizing Proper Names in UR III Texts through Supervised Learning. | Yudong Liu, James Hearne, Bryan Conrad |
| 2015 | FlAIRS | Unsupervised Sumerian Personal Name Recognition. | Liang Luo, Yudong Liu, James Hearne, Clinton Burkhart |
| 2015 | NAACL | Enhancing Sumerian Lemmatization by Unsupervised Named-Entity Recognition. | Yudong Liu, Clinton Burkhart, James Hearne, Liang Luo |
| 2007 | AI | Question Answering Summarization of Multiple Biomedical Documents. | Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, Baohua Gu, Mehdi M. Kashani, Anoop Sarkar, Fred Popowich |
| 2007 | EMNLP | Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling. | Yudong Liu, Anoop Sarkar |
| 2007 | NAACL | Exploiting Rich Syntactic Information for Relationship Extraction from Biomedical Articles. | Yudong Liu, Zhongmin Shi, Anoop Sarkar |