| 2026 | KDD | Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning. | Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng |
| 2025 | ACL | CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. | Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin |
| 2025 | ASRU | LLM-Based Dictation Detection from Doctor-Patient Conversations. | Siyuan Chen, Mojtaba Kadkhodaie Elyaderani, Jing Su, Susanne Burger, Thomas Schaaf |
| 2025 | ICLR | Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. | Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu |
| 2025 | ICLR | The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model. | Jiawei Chen, Wentao Chen, Jing Su, Jingjing Xu, Hongyu Lin, Mengjie Ren, Yaojie Lu, Xianpei Han, Le Sun |
| 2024 | ACL | An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing. | Ziwei Chai, Guoyin Wang, Jing Su, Tianjie Zhang, Xuanwen Huang, Xuwu Wang, Jingjing Xu, Jianbo Yuan, Hongxia Yang, Fei Wu, Yang Yang |
| 2024 | ICML | InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks. | Xueyu Hu, Ziyu Zhao, Shuang Wei, Ziwei Chai, Qianli Ma, Guoyin Wang, Xuwu Wang, Jing Su, Jingjing Xu, Ming Zhu, Yao Cheng, Jianbo Yuan, Jiwei Li, Kun Kuang, Yang Yang, Hongxia Yang, Fei Wu |
| 2024 | NetSoft | Leveraging Large Language Models for VNF Resource Forecasting. | Jing Su, Suku Nair, Leo Popokh |
| 2023 | AAAI | Accurate Fairness: Improving Individual Fairness without Trading Accuracy. | Xuran Li, Peng Wu, Jing Su |
| 2023 | ICCV | ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation. | Liang Xu, Ziyang Song, Dongliang Wang, Jing Su, Zhicheng Fang, Chenjing Ding, Weihao Gan, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng, Wei Wu |
| 2022 | AMIA | The Alcoholic Hepatitis Network Research Data Commons (ARDaC): Design and Development. | Jing Su, Nanxin Jin, Zuotan Li, Carla Kettler, Bruce Barton, Greg Puetz, Chi Mai Nguyen, Donna McGrath, Yingjie Chen, Baijian Yang, Vijay Shah, Svetlana Radaeva, Samer Gawrieh, Wanzhu Tu |
| 2022 | CVPR | Learning Video Representations of Human Motion from Synthetic Data. | Xi Guo, Wei Wu, Dongliang Wang, Jing Su, Haisheng Su, Weihao Gan, Jian Huang, Qin Yang |
| 2022 | Interspeech | Extract and Abstract with BART for Clinical Notes from Doctor-Patient Conversations. | Jing Su, Longxiang Zhang, Hamid Reza Hassanzadeh, Thomas Schaaf |
| 2022 | ISSRE | Adversarial Input Detection Based on Critical Transformation Robustness. | Jing Su, Zhen Zhang, Peng Wu, Xuran Li, Jian Zhang |
| 2021 | AMIA | COVID-19 Mortality Prediction among Patients with Cancer Using a Large National Cohort. | Feifan Liu, Noha Sharafeldin, Vithal Madhira, Katie R. Bradwell, Qianqian Song, Benjamin Bates, Yu R. Shao, Jing Su, Alfred Anzalone, Timothym Bergquist, Sarah Cutrona, Ben S. Gerber, Peter N. Robinson, Justin Guinney, Umit Topaloglu |
| 2021 | AMIA | Artificial intelligence identifies the progression of cancer patients with kidney disease. | Qianqian Song, Jing Su |
| 2021 | AMIA | PASC CKD: revealing the progression trajectories of sustained COVID-19-related renal injury using real-world evidence. | Jing Su, Pengyue Zhang, Zuoyi Zhang, Michael Eadon, Xiaochun Li, Tian He, Stanley Taylor, Travis Johnson, Zhaorui Liu, Ziyang Tang, Baijian Yang, Qianqian Song, Kun Huang |
| 2021 | AMIA | ADNet: Identify biomarkers of Alzheimer Disease with MRI and EMR data using Deep Neural Networks. | Ziyang Tang, Qianqian Song, Jing Su, Baijian Yang |
| 2021 | ISSRE | Out-of-Distribution Detection through Relative Activation-Deactivation Abstractions. | Zhen Zhang, Peng Wu, Yuhang Chen, Jing Su |
| 2021 | SOFTCOM | IllumiCore: Optimization Modeling and Implementation for Efficient VNF Placement. | Leo Popokh, Jing Su, Suku Nair, Eli V. Olinick |
| 2020 | AMIA | The Personalization of Evidence: Using Intelligent Datasets to Inform the Process. | Taneya Y. Koonce, Dario A. Giuse, Mallory N. Blasingame, Jing Su, Annette M. Williams, Patricia L. Biggerstaff, Travis J. Osterman, Nunzia B. Giuse |
| 2020 | AMIA | Leveraging Single-cell Data through Graph-based Artificial Intelligence. | Qianqian Song, Umit Topaloglu, Jing Su, Wei Zhang |
| 2020 | AMIA | Single Cell RNA Sequencing Reveals Pan-Brain Metastasis Immune Landscape. | Jing Su, Qianqian Song, Stacey O'Neill, Jimmy Ruiz, Michael Chan, Michael Soike |
| 2020 | IGARSS | Spatial and Temporal Characteristics of Sea Fog in Yellow Sea and Bohai Sea Based on Active and Passive Remote Sensing. | Jianhua Wan, Jing Su, Hui Sheng, Shanwei Liu, JiaJia Li |
| 2018 | AMIA | Drug Informatics Studio: An Ontology-based Integrative Research Environment for Clinical Informatics. | Shyh-Huei Chen, Lynn S. Huang, Ryan Barnard, Fang-Chi Hsu, Barry I. Freedman, Jing Su |
| 2018 | ICDCS | GraphU: A Unified Vertex-Centric Parallel Graph Processing Platform. | Jing Su, Qun Chen, Zhuo Wang, Murtadha H. M. Ahmed, Zhanhuai Li |
| 2018 | ICNC | Graph-Based Equivalence Concept Matching in Knowledge Organization System Integration: A Case Study on Thesaurus. | Wei Liu, Jing Su, Xiao Lei, Zhen Xu |
| 2017 | AMIA | Real-world Evidence for Phenotyping Chronic Diabetic Kidney Disease. | Lynn S. Huang, Xufei Zheng, Fang-Chi Hsu, Jianzhao Xu, Maggie C. Y. Ng, Donald W. Bowden, Barry I. Freedman, Jing Su |
| 2017 | DAC | Layout Hotspot Detection with Feature Tensor Generation and Deep Biased Learning. | Haoyu Yang, Jing Su, Yi Zou, Bei Yu, Evangeline F. Y. Young |
| 2016 | ICDM | DFA-G: A Unified Programming Model for Vertex-Centric Parallel Graph Processing. | Bo Suo, Jing Su, Qun Chen, Zhanhuai Li, Wei Pan |
| 2016 | INDIN | Optimal design of both rectified layer and pooling layer of convolutional neural network for noninvasive blood glucose estimation system. | Xin Wu, Yuwei Liu, Jing Su, Ya Li, Wing-Kuen Ling, Chi-Kong Li |
| 2016 | VCIP | A local-adapted disparity vector derivation scheme for 3D-AVS. | Qi Mao, Shanshe Wang, Jing Su, Xiang Zhang, Xinfeng Zhang, Siwei Ma |
| 2016 | VCIP | A novel mode decision for depth map coding in 3D-AVS. | Jing Su, Falei Luo, Shanshe Wang, Shiqi Wang, Xiaoqiang Guo, Siwei Ma |
| 2015 | INDIN | Classifying tachycardias via high dimensional linear discriminant function and perceptron with mult-piece domain activation function. | Jing Su, Jun Xiao, Bingo Wing-Kuen Ling, Qing Liu, Kim Fung Tsang, Kwok Tai Chui, Hao Ran Chi, Gerhard P. Hancke, Zhangbing Zhou |
| 2015 | IECON | Mobile based big data design patent image retrieval system via Lp norm deep learning approach. | Jing Su, Bingo Wing-Kuen Ling, Qingyun Dai, Jun Xiao, Kim Fung Tsang |
| 2013 | ICNC | Research on short-term traffic flow prediction based on wavelet de-noising preprocessing. | Wanxia Yu, Jing Su, Weicun Zhang |
| 2010 | Interspeech | The relevance of timing, pauses and overlaps in dialogues: detecting topic changes in scenario based meetings. | Saturnino Luz, Jing Su |
| 2010 | SIGdial | Assessing the effectiveness of conversational features for dialogue segmentation in medical team meetings and in the AMI corpus. | Saturnino Luz, Jing Su |
| 2009 | CIS | Extraction of Limit Streamlines in 2D Flow Field Using Virtual Boundary. | Wenyao Zhang, Jing Su |
| 2006 | Mobiquitous | An Empirical Evaluation of the Student-Net Delay Tolerant Network. | Jing Su, Ashvin Goel, Eyal de Lara |
| 2004 | ISNN | A Novel Individual Blood Glucose Control Model Based on Mixture of Experts Neural Networks. | Wei Wang, Zheng-Zhong Bian, Lanfeng Yan, Jing Su |
| 2002 | PIMRC | A simple coherent GMSK demodulator. | Ismail Lakkis, Jing Su, Shuzo Kato |
| 2000 | SIGMOD | Self-Organizing Data Sharing Communities with SAGRES. | Zachary G. Ives, Alon Y. Levy, Jayant Madhavan, Rachel Pottinger, Stefan Saroiu, Igor Tatarinov, Shiori Betzler, Qiong Chen, Ewa Jaslikowska, Jing Su, Wai Tak Theodora Yeung |