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RAISE@UCR

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RAISE@UCR Publications by Area

Machine Learning

2025

  • Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, and Amit Roy-Chowdhury. "Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models." In Forty-second International Conference on Machine Learning (ICML 2025). 2025. https://arxiv.org/abs/2411.04291
     

    Umit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury, and Basak Guler. "A Certified Unlearning Approach without Access to Source Data." In Forty-second International Conference on Machine Learning (ICML 2025). 2025. https://icml.cc/virtual/2025/poster/46268
     

    Zikui Cai, Yaoteng Tan, and M. Salman Asif. "Targeted Unlearning with Single Layer Unlearning Gradient." In Forty-second International Conference on Machine Learning (ICML 2025). 2025. https://icml.cc/virtual/2025/poster/46379
     

    Xiangyu Chang, Yingcong Li, Muti Kara, Samet Oymak, and Amit K. Roy-Chowdhury. "Provable Benefits of Task-Specific Prompts for In-context Learning." arXiv preprint arXiv:2503.02102 (2025). In International Conference on Artificial Intelligence and Statistics (AISTATS 2025). https://arxiv.org/abs/2503.02102
     

    Alberto Del Pia, Dekun Zhou, and Yinglun Zhu. "Efficient Sparse PCA via Block-Diagonalization." In Thirteenth International Conference on Learning Representations (ICLR 2025). 2025. https://arxiv.org/abs/2410.14092
     

    Xiangbo Gao, Runsheng Xu, Jiachen Li, Ziran Wang, Zhiwen Fan, and Zhengzhong Tu. "Stamp: Scalable task and model-agnostic collaborative perception." In Thirteenth International Conference on Learning Representations (ICLR 2025). 2025. https://arxiv.org/abs/2501.18616
     

    Hao Li, Hao Wan, Yuzhou Chen, Dongsheng Ye, Yulia Gel, and Hao Jiang. "TMetaNet: Topological Meta-Learning Framework for Dynamic Link Prediction." arXiv preprint arXiv:2506.00453 (2025). In Forty-second International Conference on Machine Learning (ICML 2025). https://icml.cc/virtual/2025/poster/46188
     

    Xue Li, Yiyou Sun, Wei Cheng, Yinglun Zhu, and Haifeng Chen. "Chain-of-region: Visual language models need details for diagram analysis." In Thirteenth International Conference on Learning Representations (ICLR 2025). 2025. https://iclr.cc/virtual/2025/poster/29954

2024

  • Alessandro Achille, Greg Ver Steeg, Tian Yu Liu, Matthew Trager, Carson Klingenberg, and Stefano Soatto. "Interpretable measures of conceptual similarity by complexity-constrained descriptive auto-encoding." In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), pp. 11062-11071. 2024. https://arxiv.org/abs/2402.08919
     

    Sk Miraj Ahmed, Fahim Faisal Niloy, Xiangyu Chang, Dripta S. Raychaudhuri, Samet Oymak, and Amit Roy-Chowdhury. "CONTRAST: Continual multi-source adaptation to dynamic distributions." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 130887-130919. 2024. https://neurips.cc/virtual/2024/poster/93726
     

    Meenatchi Sundaram Muthu Selva Annamalai, and Emiliano De Cristofaro. "Nearly tight black-box auditing of differentially private machine learning." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 131482-131502. 2024. https://arxiv.org/abs/2405.14106
     

    Dave Gomboc, Christian R. Shelton, Andrew S. Miner, and Gianfranco Ciardo. "Comparing Lossless Compression Methods for Chess Endgame Data." In European Conference on Artificial Intelligence (ECAI 2024), pp. 4116-4123. IOS Press, 2024. https://rlair.cs.ucr.edu/papers/docs/ecai24.pdf
     

    Chengkuan Hong, Christian R. Shelton, and Jun Zhu. "Virtual-event-based posterior sampling and inference for Neyman-Scott processes." Journal of Machine Learning Research 25, no. 384 (2024): 1-67. https://jmlr.org/papers/v25/24-0235.html
     

    Xianghao Kong, Ollie Liu, Han Li, Dani Yogatama, and Greg Ver Steeg. "Interpretable diffusion via information decomposition." In Twelfth International Conference on Learning Representations (ICLR 2024). 2024. https://arxiv.org/abs/2310.07972
     

    Tongxin Li, Tinashe Handina, Shaolei Ren, and Adam Wierman. "Safe exploitative play with untrusted type beliefs." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 72901-72932. 2024. https://proceedings.neurips.cc/paper_files/paper/2024/file/858e773f5c99a4186b548f3f531fb07e-Paper-Conference.pdf
     

    Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, and Greg Ver Steeg. "Policy learning for localized interventions from observational data." In International Conference on Artificial Intelligence and Statistics (AISTATS 2024), pp. 4456-4464. PMLR, 2024. https://proceedings.mlr.press/v238/marmarelis24a.html
     

    Jianyi Yang, Pengfei Li, Adam Wierman, and Shaolei Ren. "Online budgeted matching with general bids." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 9885-9919. 2024. https://proceedings.neurips.cc/paper_files/paper/2024/file/1326b385e39647c733e4e81edc1d6670-Paper-Conference.pdf
     

    Yunshu Wu, Yingtao Luo, Xianghao Kong, Vagelis Papalexakis, and Greg Ver Steeg. "Your diffusion model is secretly a noise classifier and benefits from contrastive training." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 32370-32399. 2024. https://proceedings.neurips.cc/paper_files/paper/2024/file/38d67d1df644cf2efe9ebd5521741dc5-Paper-Conference.pdf
     

    Xuechen Zhang, Xiangyu Chang, Mingchen Li, Amit Roy-Chowdhury, Jiasi Chen, and Samet Oymak. "Selective attention: Enhancing transformer through principled context control." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 11061-11086. 2024. https://nips.cc/virtual/2024/poster/95224
     

    Shuheng Zhou. "Concentration of measure bounds for matrix-variate data with missing values." Bernoulli 30, no. 1 (2024): 198-226. https://arxiv.org/abs/2008.03244
     

    Shuheng Zhou, and Kristjan Greenewald. "Sharper rates of convergence for the tensor graphical lasso estimator." In IEEE International Symposium on Information Theory (ISIT 2024), pp. 533-538. IEEE, 2024. https://arxiv.org/abs/2304.00441
     

    Tong Zhou, Xuandong Zhao, Xiaolin Xu, and Shaolei Ren. "Bileve: Securing text provenance in large language models against spoofing with bi-level signature." In Advances in Neural Information Processing Systems (NeurIPS 2024), 37: 56054-56075. 2024. https://neurips.cc/virtual/2024/poster/93192

Computer Vision

2025

2024

  • Chen Zhao, Tamar Shinar, and Craig Schroeder. "Reconstruction of Implicit Surfaces from Fluid Particles Using Convolutional Neural Networks." In Computer Graphics Forum (CGF 2024), vol. 43, no. 8, p. e15181. 2024. https://onlinelibrary.wiley.com/doi/10.1111/cgf.15181

Natural Language Processing

2024

  • Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit Roy-Chowdhury, and Chengyu Song. "Can Textual Unlearning Solve Cross-Modality Safety Alignment?" In Findings of the Association for Computational Linguistics: Empirical Methods in Natural Language Processing (EMNLP 2024), pp. 9830-9844. 2024. https://aclanthology.org/2024.findings-emnlp.580/
     

    Dingyang Chen, Qi Zhang, and Yinglun Zhu. "Efficient Sequential Decision Making with Large Language Models." arXiv preprint arXiv:2406.12125. 2024. (Empirical Methods in Natural Language Processing – EMNLP 2024). https://arxiv.org/abs/2406.12125
     

    Jannat Ara Meem, Muhammad Shihab Rashid, and Vagelis Hristidis. "Modeling the Impact of Out-of-Schema Questions in Task-Oriented Dialog Systems." Data Mining and Knowledge Discovery, 38(4): 2466-2494. 2024. https://link.springer.com/article/10.1007/s10618-024-01039-6
     

    Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, and Vagelis Hristidis. "Pat-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering." arXiv preprint arXiv:2402.11034. 2024. (Association for Computational Linguistics – ACL 2024). https://arxiv.org/abs/2402.11034
     

    Muhammad Shihab Rashid, Jannat Ara Meem, and Vagelis Hristidis. "NORMY: Non-Uniform History Modeling for Open Retrieval Conversational Question Answering." In 2024 IEEE 18th International Conference on Semantic Computing (ICSC 2024), pp. 101-109. IEEE, 2024. https://arxiv.org/abs/2402.04548
     

    Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, and Vagelis Hristidis. "EcoRank: Budget-Constrained Text Re-Ranking Using Large Language Models." arXiv preprint arXiv:2402.10866. 2024. (Association for Computational Linguistics – ACL 2024). https://arxiv.org/abs/2402.10866

Robotics and Embodied AI

2025

  • Sarosij Bose, Arindam Dutta, Sayak Nag, Junge Zhang, Jiachen Li, Konstantinos Karydis, and Amit K. Roy Chowdhury. "Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes." In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV 2025). 2025. https://arxiv.org/abs/2503.15742
     

  • Hyeonjun Kim, Kanghoon Lee, Junho Park, Jiachen Li, and Jinkyoo Park. "Human Implicit Preference-Based Policy Fine-tuning for Multi-Agent Reinforcement Learning in USV Swarm." arXiv preprint arXiv:2503.03796 (2025). In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). 2025. https://arxiv.org/abs/2503.03796
     

  • Zehao Wang, Yuping Wang, Zhuoyuan Wu, Hengbo Ma, Zhaowei Li, Hang Qiu, and Jiachen Li. "Cmp: Cooperative motion prediction with multi-agent communication." IEEE Robotics and Automation Letters (2025). 2025. https://arxiv.org/abs/2403.17916

2024

  • Mansur Arief, Mike Timmerman, Jiachen Li, David Isele, and Mykel J. Kochenderfer. "Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments." IEEE Robotics and Automation Letters (2024). 2024. https://arxiv.org/abs/2407.15839
     

  • Udita Ghosh, Dripta S. Raychaudhuri, Jiachen Li, Konstantinos Karydis, and Amit K. Roy-Chowdhury. "Robust offline imitation learning from diverse auxiliary data." arXiv preprint arXiv:2410.03626 (2024). In Transactions on Machine Learning Research (TMLR). 2024. https://arxiv.org/abs/2410.03626
     

  • Bernard Lange, Jiachen Li, and Mykel J. Kochenderfer. "Scene informer: Anchor-based occlusion inference and trajectory prediction in partially observable environments." In 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), pp. 14138-14145. IEEE, 2024. https://arxiv.org/abs/2309.13893
     

  • Bernard Lange, Masha Itkina, Jiachen Li, and Mykel J. Kochenderfer. "Self-supervised multi-future occupancy forecasting for autonomous driving." arXiv preprint arXiv:2407.21126 (2024). In Robotics: Science and Systems (RSS 2025). 2024. https://arxiv.org/abs/2407.21126
     

  • Jinlong Li, Xinyu Liu, Baolu Li, Runsheng Xu, Jiachen Li, Hongkai Yu, and Zhengzhong Tu. "Comamba: Real-time cooperative perception unlocked with state space models." arXiv preprint arXiv:2409.10699 (2024). In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). 2024. https://arxiv.org/abs/2409.10699
     

  • Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, and Mykel J. Kochenderfer. "Interactive autonomous navigation with internal state inference and interactivity estimation." IEEE Transactions on Robotics 40 (2024): 2932-2949. 2024. https://arxiv.org/abs/2311.16091
     

  • Jinning Li, Jiachen Li, Sangjae Bae, and David Isele. "Adaptive prediction ensemble: Improving out-of-distribution generalization of motion forecasting." IEEE Robotics and Automation Letters (2024). 2024. https://arxiv.org/abs/2407.09475
     

  • Shiqi Lei, Kanghoon Lee, Linjing Li, Jinkyoo Park, and Jiachen Li. "Ela: Exploited level augmentation for offline learning in zero-sum games." arXiv preprint arXiv:2402.18617 (2024). In Proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2024). 2024. https://www.ifaamas.org/Proceedings/aamas2024/pdfs/p2357.pdf
     

  • Xiaopan Zhang, Hao Qin, Fuquan Wang, Yue Dong, and Jiachen Li. "Lamma-p: Generalizable multi-agent long-horizon task allocation and planning with lm-driven pddl planner." arXiv preprint arXiv:2409.20560 (2024). In 2025 IEEE International Conference on Robotics and Automation (ICRA 2025). 2024. https://arxiv.org/abs/2409.20560
     

  • Zhuo Xu, Rui Zhou, Yida Yin, Huidong Gao, Masayoshi Tomizuka, and Jiachen Li. "MATRIX: multi-agent trajectory generation with diverse contexts." In 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), pp. 12650-12657. IEEE, 2024. https://arxiv.org/abs/2403.06041
     

  • Enna Sachdeva, Nakul Agarwal, Suhas Chundi, Sean Roelofs, Jiachen Li, Mykel Kochenderfer, Chiho Choi, and Behzad Dariush. "Rank2tell: A multimodal driving dataset for joint importance ranking and reasoning." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024), pp. 7513-7522. 2024. https://arxiv.org/abs/2309.06597
     

  • Maneekwan Toyungyernsub, Esen Yel, Jiachen Li, and Mykel J. Kochenderfer. "Predicting future spatiotemporal occupancy grids with semantics for autonomous driving." In 2024 IEEE Intelligent Vehicles Symposium (IV 2024), pp. 2855-2861. IEEE, 2024. https://arxiv.org/pdf/2310.01723

AI in Systems and Security

2025

  • Quazi Mishkatul Alam, Bilel Tarchoun, Ihsen Alouani, and Nael Abu-Ghazaleh. "Adversarial Attention Deficit: Fooling Deformable Vision Transformers with Collaborative Adversarial Patches." In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), pp. 7123-7132. IEEE, 2025. https://openaccess.thecvf.com/content/WACV2025/papers/Alam_Adversarial_Attention_Deficit_Fooling_Deformable_Vision_Transformers_with_Collaborative_Adversarial_WACV_2025_paper.pdf
     

  • Tarlan Bahadori, Sai Sreekar Sarvepalli, and Ahmed Eldawy. "LASEK: LLM-Assisted Style Exploration Kit for Geospatial Data." 2025. https://par.nsf.gov/biblio/10611927-lasek-llm-assisted-style-exploration-kit-geospatial-data
     

  • Yuanbin Cheng, Koji Yamashita, Jim Follum, and Nanpeng Yu. "Adversarial purification for data-driven power system event classifiers with diffusion models." IEEE Transactions on Power Systems, 2025. https://arxiv.org/abs/2311.07110
     

  • Narges Ehsani, Vishwanath Saragadam, and Hamed Mohsenian-Rad. "Implicit Neural Representation of Waveform Measurements in Power Systems Waveform Data Analysis." arXiv preprint arXiv:2505.09789 (2025). In IEEE Power & Energy Society General Meeting (PESGM 2025). https://arxiv.org/abs/2505.09789
     

  • Georgi Ganev and Emiliano De Cristofaro. "The Inadequacy of Similarity-Based Privacy Metrics: Privacy Attacks Against 'Truly Anonymous' Synthetic Datasets." In 2025 IEEE Symposium on Security and Privacy (SP 2025), pp. 4007-4025. IEEE, 2025. https://arxiv.org/pdf/2312.05114
     

  • Mst Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, and Vassilis J. Tsotras. "Principled Mining, Forecasting, and Monitoring of Honeybee Time Series with EBV+." ACM Transactions on Knowledge Discovery from Data, 19(5), 1-30, 2025. https://arxiv.org/abs/2402.01902
     

  • Pengfei Li, Jianyi Yang, Mohammad A. Islam, and Shaolei Ren. "Making AI Less 'Thirsty': Uncovering and Addressing the Secret Water Footprint of AI Models." Communications of the ACM (CACM), 2025. https://arxiv.org/abs/2304.03271
     

  • Shahrzad Haji Amin Shirazi, Xikui Wang, Michael J. Carey, and Vassilis J. Tsotras. "Optimizing Big Active Data Management Systems." In Proceedings of the 27th International Workshop on Design, Optimization, Languages and Analytical Processing of Big Data (DOLAP 2025), pp. 39–48. 2025. https://arxiv.org/abs/2412.14519
     

  • Hossein Mohsenzadeh-Yazdi, Fatemeh Ahmadi-Gorjayi, and Hamed Mohsenian-Rad. "Data-Driven Modeling of Sub-Cycle Dynamics of Inverter-based Resources Using Real-World Synchro-Waveform Measurements." IEEE Transactions on Power Delivery, 2025. https://intra.ece.ucr.edu/~hamed/MYAGMRjTPD2025.pdf
     

  • Hossein Mohsenzadeh-Yazdi, Chester Li, and Hamed Mohsenian-Rad. "IBR Responses During a Real-World System-Wide Disturbance: Synchro-Waveform Data Analysis, Pattern Classification, and Engineering Implications." IEEE Transactions on Smart Grid, 2025. https://intra.ece.ucr.edu/~hamed/MYLMRjTSG2025.pdf
     

  • Hamed Mohsenian-Rad, Mladen Kezunovic, and Farnoosh Rahmatian. "Synchro-Waveforms in Wide-Area Monitoring, Control, and Protection: Real-World Examples and Future Opportunities." IEEE Power and Energy Magazine, 23(1), 69-80, 2025. https://intra.ece.ucr.edu/~hamed/MRKRjPEM2025.pdf
     

  • Ryan Quach, Yidi Wang, Ali Jahanshahi, Daniel Wong, and Hyoseung Kim. "ECLIP: Energy-efficient and Practical Co-Location of ML Inference on Spatially Partitioned GPUs." arXiv preprint arXiv:2506.12598 (2025). In International Symposium on Low Power Electronics and Design (ISLPED 2025). https://arxiv.org/abs/2506.12598
     

  • Jingtao Qin and Nanpeng Yu. "Solve large-scale unit commitment problems by physics-informed graph learning." IEEE Transactions on Power Systems, 2025. https://arxiv.org/pdf/2311.15216
     

  • Jingtao Qin, Rui Yang, and Nanpeng Yu. "Physics-Informed Graph Neural Networks for Collaborative Dynamic Reconfiguration and Voltage Regulation in Unbalanced Distribution Systems." IEEE Transactions on Industry Applications, 2025. https://intra.ece.ucr.edu/~nyu/papers/2025-PI-GNN-Reconfig-VR.pdf
     

  • Ruoshen Mo, Bo Wu, Zhaowei Tan, and Hang Qiu. "SEE-V2X: C-V2X Direct Communication Dataset: An Application-Centric Approach." In Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems (SenSys 2025), pp. 305-311. 2025. https://cisl.ucr.edu/SEE-V2X/
     

  • Xuezixiang Li, Sheng Yu, and Heng Yin. "ALMOND: Learning an Assembly Language Model for 0-Shot Code Obfuscation Detection." Proceedings of the ACM on Software Engineering, 2(ISSTA), 366-387, 2025. https://www.cs.ucr.edu/~heng/pubs/ALMOND.pdf

2024

  • Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, and Emiliano De Cristofaro. "'What do you want from theory alone?' Experimenting with tight auditing of differentially private synthetic data generation." In 33rd USENIX Security Symposium (USENIX Security 2024), pp. 4855-4871. 2024. https://arxiv.org/pdf/2405.10994
     

  • Abdulrahman Bukhari, Seyedmehdi Hosseinimotlagh, and Hyoseung Kim. "OpenSense: An open-world sensing framework for incremental learning and dynamic sensor scheduling on embedded edge devices." IEEE Internet of Things Journal, 11(15), 25880-25894, 2024. https://arxiv.org/html/2311.17358v2
     

  • Georgi Ganev, Meenatchi Sundaram Muthu Selva Annamalai, and Emiliano De Cristofaro. "The Elusive Pursuit of Reproducing PATE-GAN: Benchmarking, Auditing, Debugging." arXiv preprint arXiv:2406.13985 (2024). In Transactions on Machine Learning Research (TMLR 2024). https://arxiv.org/pdf/2406.13985
     

  • Georgi Ganev, Kai Xu, and Emiliano De Cristofaro. "Graphical vs. deep generative models: Measuring the impact of differentially private mechanisms and budgets on utility." In Proceedings of the 2024 ACM SIGSAC Conference on Computer and Communications Security (CCS 2024), pp. 1596-1610. 2024. https://arxiv.org/abs/2305.10994
     

  • Mst Shamima Hossain, Christos Faloutsos, Boris Baer, Hyoseung Kim, and Vassilis J. Tsotras. "EBV: Electronic Bee-Veterinarian for Principled Mining and Forecasting of Honeybee Time Series." In Proceedings of the 2024 SIAM International Conference on Data Mining (SDM 2024), pp. 298-306. 2024. https://arxiv.org/abs/2402.01902
     

  • Haonan Li, Yu Hao, Yizhuo Zhai, and Zhiyun Qian. "Enhancing static analysis for practical bug detection: An LLM-integrated approach." Proceedings of the ACM on Programming Languages, 8(OOPSLA1), 474-499, 2024. https://dl.acm.org/doi/10.1145/3649828
     

  • Pengfei Li, Jianyi Yang, Adam Wierman, and Shaolei Ren. "Learning-augmented decentralized online convex optimization in networks." Proceedings of the ACM on Measurement and Analysis of Computing Systems, 8(3), 1-42, 2024. https://arxiv.org/abs/2306.10158
     

  • Yuxin Qiu, Jie Hu, Qian Zhang, and Heng Yin. "Calico: Automated Knowledge Calibration and Diagnosis for Elevating AI Mastery in Code Tasks." In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2024), pp. 1785-1797. 2024. https://www.cs.ucr.edu/~heng/pubs/calico_issta24.pdf
     

  • Shaan Pakala, Bryce Graw, Dawon Ahn, Tam Dinh, Mehnaz Tabassum Mahin, Vassilis Tsotras, Jia Chen, and Evangelos E. Papalexakis. "Automating Data Science Pipelines with Tensor Completion." In 2024 IEEE International Conference on Big Data (BigData 2024), pp. 1075-1084. IEEE, 2024. https://arxiv.org/abs/2410.06408
     

  • Mohammad Naseri, Yufei Han, and Emiliano De Cristofaro. "Badvfl: Backdoor attacks in vertical federated learning." In 2024 IEEE Symposium on Security and Privacy (SP 2024), pp. 2013-2028. IEEE, 2024. https://arxiv.org/pdf/2304.08847
     

  • Ziliang Zhang, Zexin Li, Hyoseung Kim, and Cong Liu. "BOXR: Body and head motion Optimization framework for eXtended Reality." In 2024 IEEE Real-Time Systems Symposium (RTSS 2024), pp. 70-82. IEEE, 2024. https://arxiv.org/abs/2410.13084
     

  • Ziliang Zhang, Cong Liu, and Hyoseung Kim. "Mii: A multifaceted framework for intermittence-aware inference and scheduling." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 43(11), 3708-3719, 2024. https://intra.ece.ucr.edu/~hyoseung/pdf/EMSOFT2024_MII.pdf
     

  • Zong-Jhen Ye and Hamed Mohsenian-Rad. "Transforming conventional waveform measurements into synchro-waveforms: A data-driven method for event signature alignment and synchronization operator estimation." IEEE Transactions on Smart Grid, 2024. https://intra.ece.ucr.edu/~hamed/YMRjTSG2024.pdf
     

  • Ruiyang Zhu, Xiao Zhu, Anlan Zhang, Xumiao Zhang, Jiachen Sun, Feng Qian, Hang Qiu, Z. Morley Mao, and Myungjin Lee. "Boosting collaborative vehicular perception on the edge with vehicle-to-vehicle communication." In Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems (SenSys 2024), pp. 141-154. 2024. https://dl.acm.org/doi/10.1145/3666025.3699328

AI in Physical and Biomedical Sciences

2025

  • Yasin El Abiead, Michael Strobel, Thomas Payne, Eoin Fahy, Claire O’Donovan, Shankar Subramamiam, Juan Antonio Vizcaíno, et al. "Enabling pan-repository reanalysis for big data science of public metabolomics data." Nature Communications 16, no. 1 (2025): 4838. https://www.nature.com/articles/s41467-025-60067-y
     

  • Md Shazid Islam, Sayak Nag, Arindam Dutta, Miraj Ahmed, Fahim Faisal Niloy, and Amit K. Roy-Chowdhury. "ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation." arXiv preprint arXiv:2312.05407 (2025). In Medical Image Computing and Computer-Assisted Intervention (MICCAI 2025). https://arxiv.org/abs/2312.05407
     

  • Md Shazid Islam, Arindam Dutta, Calvin-Khang Ta, Kevin Rodriguez, Christian Michael, Mark Alber, G. Venugopala Reddy, and Amit K. Roy-Chowdhury. "DEGAST3D: Learning Deformable 3D Graph Similarity to Track Plant Cells in Unregistered Time Lapse Images." IEEE Transactions on Computational Biology and Bioinformatics, 2025. https://arxiv.org/abs/2309.11157
     

  • Aaron Lawson McLean and Vagelis Hristidis. "Evidence-based analysis of AI chatbots in oncology patient education: implications for trust, perceived realness, and misinformation management." Journal of Cancer Education (2025): 1-8. https://pubmed.ncbi.nlm.nih.gov/39964607/
     

  • Hasin Us Sami, Swapneel Sen, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy, and Basak Guler. "Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), pp. 10224-10234. 2025. https://openaccess.thecvf.com/content/CVPR2025/papers/Sami_Gradient_Inversion_Attacks_on_Parameter-Efficient_Fine-Tuning_CVPR_2025_paper.pdf
     

  • Michael Strobel, Alberto Gil-de-la-Fuente, Mohammad Reza Zare Shahneh, Yasin El Abiead, Roman Bushuiev, Anton Bushuiev, Tomáš Pluskal, and Mingxun Wang. "An evaluation methodology for machine learning-based tandem mass spectra similarity prediction." BMC Bioinformatics 26, no. 1 (2025): 174. https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-025-06194-1
     

  • Xianghu Wang, Yasin El Abiead, Deepa D. Acharya, Christopher J. Brown, Ken Clevenger, Jie Hu, Ashley Kretsch, et al. "MS-RT: a method for evaluating MS/MS clustering performance for metabolomics data." Journal of Proteome Research 24, no. 4 (2025): 1778-1790. https://pubmed.ncbi.nlm.nih.gov/40042915/
     

  • Xiang Wang, Wei Vivian Li, and Hongwei Li. "spCLUE: a contrastive learning approach to unified spatial transcriptomics analysis across single-slice and multi-slice data." Genome Biology 26, no. 1 (2025): 177. https://pubmed.ncbi.nlm.nih.gov/40551235/
     

  • Shaorong Zhang, Tamoghna Chattopadhyay, Sophia I. Thomopoulos, Jose-Luis Ambite, Paul M. Thompson, and Greg Ver Steeg. "Diffusion Bridge Models for 3D Medical Image Translation." arXiv preprint arXiv:2504.15267 (2025). In IEEE Engineering in Medicine and Biology Conference (EMBC 2025). https://arxiv.org/abs/2504.15267
     

  • Saleh Sereshki and Stefano Lonardi. "Predicting differentially methylated cytosines in TET and DNMT3 knockout mutants via a large language model." Briefings in Bioinformatics 26, no. 2 (2025): bbaf092. https://academic.oup.com/bib/article/26/2/bbaf092/8074756
     

  • Sakshar Chakravarty, Glennis Logsdon, and Stefano Lonardi. "RAmbler resolves complex repeats in human Chromosomes 8, 19, and X." Genome Research 35, no. 4 (2025): 863-876. https://pubmed.ncbi.nlm.nih.gov/40037839/
     

  • Michael S. Deiner, Russell Y. Deiner, Cherie Fathy, Natalie A. Deiner, Vagelis Hristidis, Stephen D. McLeod, Thomas J. Bukowski, et al. "Use of Large Language Models to Classify Epidemiological Characteristics in Synthetic and Real-World Social Media Posts About Conjunctivitis Outbreaks: Infodemiology Study." Journal of Medical Internet Research 27 (2025): e65226. https://pubmed.ncbi.nlm.nih.gov/40601927/
     

  • Y. Zhou, H. Ding, A. Ghosh, and Z. Ge. "AI-PAL: Self-supervised AI phase picking via rule-based algorithm for generalized earthquake detection." Journal of Geophysical Research: Solid Earth 130 (2025): e2025JB031294. https://doi.org/10.1029/2025JB031294
     

  • S. Niyogi, A. Ghosh, E. Marschall, R. Douilly, and D. Oglesby. "Rupture propagation direction at the junction of the Garlock and San Andreas fault system: a machine learning classification approach driven by earthquake simulations." Journal of Geophysical Research: Solid Earth, in press, 2025. https://ui.adsabs.harvard.edu/abs/2023AGUFM.S31F0408N/abstract

2024

  • Christina Burns, Angela Bakaj, Amonda Berishaj, Vagelis Hristidis, Pamela Deak, and Ozlem Equils. "Use of generative AI for improving health literacy in reproductive health: case study." JMIR Formative Research 8, no. 1 (2024): e59434. https://pubmed.ncbi.nlm.nih.gov/38986153/
     

  • Michael S. Deiner, Natalie A. Deiner, Vagelis Hristidis, Stephen D. McLeod, Thuy Doan, Thomas M. Lietman, and Travis C. Porco. "Use of large language models to assess the likelihood of epidemics from the content of tweets: infodemiology study." Journal of Medical Internet Research 26 (2024): e49139. https://pubmed.ncbi.nlm.nih.gov/38427404/
     

  • Nicole Ruggiano, Ellen Leslie Brown, Peter J. Clarke, Vagelis Hristidis, Lisa Roberts, Carmen Victoria Framil Suarez, Sai Chaithra Allala, Shannon Hurley, Chrystine Kopcsik, Jane Daquin, Hamilton Chevez, Raymond Chang-Lau, and Marc Agronin, David S. Geldmacher. "An Evidence-Based IT Program With Chatbot to Support Caregiving and Clinical Care for People With Dementia: The CareHeroes Development and Usability Pilot." JMIR Aging 7 (2024): e57308. https://pubmed.ncbi.nlm.nih.gov/39727199/
     

  • Aaron Lawson McLean, Yonghui Wu, Anna C. Lawson McLean, and Vagelis Hristidis. "Large language models as decision aids in neuro-oncology: a review of shared decision-making applications." Journal of Cancer Research and Clinical Oncology 150, no. 3 (2024): 139. https://pubmed.ncbi.nlm.nih.gov/38503921/
     

  • Chencheng Xu, Suying Bao, Ye Wang, Wenxing Li, Hao Chen, Yufeng Shen, Tao Jiang, and Chaolin Zhang. "Reference-informed prediction of alternative splicing and splicing-altering mutations from sequences." Genome Research 34, no. 7 (2024): 1052-1065. https://pmc.ncbi.nlm.nih.gov/articles/PMC10996483/
     

  • Mihir Mongia, Tyler M. Yasaka, Yudong Liu, Mustafa Guler, Liang Lu, Aditya Bhagwat, Bahar Behsaz, Mingxun Wang, Pieter C. Dorrestein, and Hosein Mohimani. "Fast mass spectrometry search and clustering of untargeted metabolomics data." Nature Biotechnology 42, no. 11 (2024): 1672-1677. https://www.nature.com/articles/s41587-023-01985-4
     

  • Mingxun Wang, Pieter C. Dorrestein, and Amina Bouslimani. "Source identification for unknown molecules using mass spectral matching." U.S. Patent 12,046,334, issued July 23, 2024. https://patents.google.com/patent/US12046334B2/en
     

  • Myrl G. Marmarelis, Russell Littman, Francesca Battaglin, Donna Niedzwiecki, Alan Venook, Jose-Luis Ambite, Aram Galstyan, Heinz-Josef Lenz, and Greg Ver Steeg. "q-Diffusion leverages the full dimensionality of gene coexpression in single-cell transcriptomics." Communications Biology 7, no. 1 (2024): 400. https://pubmed.ncbi.nlm.nih.gov/38565955/
     

  • Alan K. Jarmusch, Allegra T. Aron, Daniel Petras, Vanessa V. Phelan, Wout Bittremieux, Deepa D. Acharya, Mohammed M. A. Ahmed, et al. "A universal language for finding mass spectrometry data patterns." Nature Methods (2024): 1-8. https://www.nature.com/articles/s41592-025-02660-z

AI in Social Sciences

2025

  • Arman Irani, Ju Yeon Park, Kevin Esterling, and Michalis Faloutsos. "A Discourse Analysis Framework for Legislative and Social Media Debates." In Proceedings of the 17th ACM Web Science Conference (WebSci 2025), pp. 199-209. 2025. https://arxiv.org/abs/2407.06149

2024

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