Selected Student Publications
Year 2026
- Beyond Raw Bytes: Towards Large Malware Language Models.
Kurlandski, Luke, Harel Berger, Yin Pan, and Matthew Wright.
NDSS. Feb. 2026. - Beyond the Naked Eye: Empirical Study of How People Perceive, Detect, and Respond to AI-Manipulated Videos.
Fatima, Kaniz, Y. Kelly Wu, and Ersin Uzun.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, May 2026. - Information-Regularized Attention for Visual-Centric Reasoning.
Guohao Sun, Xiaofang Wang, Yash Patel, Mengchen Liu, Zhiqiang Tao, Praveen Krishnan.
ECCV 2026 - IF-Prune: Information-Flow Guided Token Pruning for Efficient Vision-Language Models.
Guohao Sun, Yufei Wang, Zhiqiang Tao, Jian Wang.
CVPR 2026 - InsCal: Calibrated Multi-Source Fully Test-Time Prompt Tuning for Object Detection.
Xiaofan Que, Dingrong Wang, Daniel Krutz, Qi Yu.
CVPR 2026 - The Road Less Seen: Segment Exploration for Weakly Supervised Video Anomaly Detection.
Anusha Acharya, Hitesh Sapkota, Qi Yu, Xumin Liu.
CVPR 2026 - What About the Scene with the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency in Closed Domains via Adversarial Nudge.
A. Dutta, S. Dutta, R. Magu, S. Datta, M. De Choudhury, A. R. KhudaBukhsh.
ACL 2026 (Main) - Auditing LLM Response to Harmful Stereotypes Targeting Mental Health Groups.
A. Dutta, R. Magu, S. Kim, S. Yoon, M. De Choudhury, A. R. KhudaBukhsh.
ACL 2026 (Findings) - Why LoRA Fails to Forget: Regularized Low-Rank Adaptation Against Backdoors in Language Models.
Hoang-Chau Luong, Lingwei Chen.
ACL 2026 (Findings) - How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? A Framework to Bias-Audit Large Language Models.
A. Dutta, R. Fayyazi, S. Yang, A. R. KhudaBukhsh.
AAAI 2026 - An Efficient Architecture-Agnostic Quasi-Metric for Task Transferability.
E. Lima, M. Kwon.
AAAI 2026 - A Large-Scale Social-Web Audit of AI-Generated-Text Detection Systems.
A. Dutta, U. Jaimini, U. Bhatt, S. S. Muthuselvam, A. Das, A. R. KhudaBukhsh.
ICWSM 2026 - Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective.
Zhe Li, Bicheng Ying, Zidong Liu, Haibo Yang.
ICML 2026 - Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization.
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang.
ICLR 2026 - ProReGen: Progressive Residual Generation under Attribute Correlations.
R. Shrestha, A. Gopi, C. Meisenzahl, B. Lekhak, L. Wang.
ICLR 2026 - Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning.
Ziwen Liu, Huawei Lin, Yide Ran, Denghui Zhang, Jianwen Xie, Chuan Li, Weijie Zhao, Zhaozhuo Xu.
ICLR 2026 - DMin: Scalable Training Data Influence Estimation for Diffusion Models.
Huawei Lin, Yingjie Lao, Weijie Zhao.
CVPR 2026 (Findings) - Investigating Memetic Scheduling Strategies for Distributed Neuroevolution.
Diana Velychko, Travis Desell.
GECCO 2026. - Do People Appropriately Rely on AI-Advice? An Analytical Review of HCI Research on Human-AI Decision-Making.
Muhammad Raees, Vassilis-Javed Khan, Ioanna Lykourentzou, Konstantinos Papangelis
ACM CHI 2026 - Been There, Scanned That: Nostalgia-Driven Point Cloud Compression for Self-Driving Cars.
Ali Khalid, Jaiaid Mobin, Sumanth Rao Appala, Avinash Maurya, Stephany Berrio Perez, Fawad Ahmad.
ACM SenSys 2026 - ARC: Accurate, Real-Time, and Scalable Multi-Vehicle Cooperative Perception.
K. N. Khan, F. Ahmad.
ACM/IEEE SenSys 2026 - AUDAGENT: Automated Auditing of Privacy Policy Compliance in AI Agents.
Ye Zheng, Yimin Chen, Yidan Hu.
PETS 2026 - Quantifying Classifier Utility under Local Differential Privacy.
Ye Zheng, Yidan Hu.
PETS 2026 - TraCS: Trajectory Collection in Continuous Space under Local Differential Privacy.
Ye Zheng, Yidan Hu.
PETS 2026 - Frequency Estimation of Correlated Multi-attribute Data under Local Differential Privacy.
Shafizur Rahman Seeam, Ye Zheng, Yidan Hu.
PETS 2026 - InteFL: Framework for AI-Assisted Design of Trustworthy and Efficient Federated Learning Applications.
D. Korobeinikov, R. Zatsarenko, S. Chuprov, A. Barea, L. Reznik.
IEEE WCCI 2026 - Understanding SAM's Robustness to Noisy Labels through Gradient Down-weighting.
Hoang-Chau Luong, Thuc Nguyen-Quang, Dat Ba Tran, Minh-Triet Tran.
AISTATS 2026 - Do Privacy Policies Match with the Logs? An Empirical Study of Privacy Disclosure in Android Application Logs.
Z. Chen, L. J. Ahir, A. D. Suleiman, K. Yao, Y. Tang, W. Shang, D. Hou.
EASE 2026 - Trust to Reliance: Measurement Constructs for Human-AI Appropriate Reliance.
Muhammad Raees, Konstantinos Papangelis
ACM CHI 2026 (Extended Abstracts) - A Taste of Formal Methods for Computer Science Students using Jupyter Notebooks.
Z. Fitzsimmons, Z. R. Hassan, E. Hemaspaandra, C. R. Rivero.
SIGCSE TS 2026 - Adoption-Ready Project-Based Learning for Computing Education: The FORAP Framework and a Multi-Scale Project Portfolio.
Ahmad D. Suleiman, Jan DeWaters, David Shepherd, Turgay Korkmaz, Faraz Hussain, Yu Liu, Daqing Hou.
IEEE Frontiers in Education Conference, 2026. Accepted. - Exploring LLMs’ Potential for Privacy Leakage Detection in Android App Logs: An Empirical Study.
Zhiyuan Chen, Vanessa Nava-Camal, Tiash Roy, Zhe Li, Yiming Tang, Xueling Zhang, Haibo Yang.
IEEE Software, 2026. - The Complexity of Edge-Induced Greedy Subgraph Building Algorithms within P.
Zohair Raza Hassan, Edith Hemaspaandra
MFCS 2026. - The Complexity of Ramsey Arrowing: A Computational Approach for Hardness Proofs.
Zohair Raza Hassan
In WG 2026 - PrivAR: Client-Side Privacy Framework for Real-Time Location-Based Augmented Reality.
Shafizur Rahman Seeam, Ye Zheng, Zhengxiong Li, Yidan Hu.
ICDCS 2026
Year 2025
- Understanding and empowering intelligence analysts: User-centered design for deepfake detection tools.
Wu, Y. Kelly, Saniat Javid Sohrawardi, Candice R. Gerstner, and Matthew Wright.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, May 2025. - Exact and Linear Convergence for Federated Learning under Arbitrary Client Participation is Attainable.
Bicheng Ying, Zhe Li, Haibo Yang.
NeurIPS 2025 - Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach.
Dandan Liang, Jianing Zhang, Evan Chen, Zhe Li, Rui Li, Haibo Yang.
NeurIPS 2025 - FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning.
Zhe Li, Seyedsina Nabavirazavi, Bicheng Ying, Sitharama Iyengar, Haibo Yang.
IJCAI 2025 - Harnessing Heterogeneous Statistical Strength for Personalized Federated Learning via Hierarchical Bayesian Inference.
Mahendra Singh Thapa, Rui Li.
ICML 2025 - Latent Chain-of-Thought for Visual Reasoning.
Guohao Sun, Hang Hua, Jian Wang, Jiebo Luo, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao.
NeurIPS 2025 - Structured Policy Optimization: Enhance Large Vision-Language Model via Self-Referenced Dialogue.
Guohao Sun, Can Qin, Yihao Feng, Zeyuan Chen, Ran Xu, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao.
ICCV 2025 - Locality-Sensitive Indexing for Graph-Based Approximate Nearest Neighbor Search.
Jun Woo Chung, Huawei Lin, Weijie Zhao.
SIGIR 2025 - ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Party LLM Data Valuation.
Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu.
NAACL 2025 - On the parallelizability of approval-based committee rules.
Z. Fitzsimmons, Z. R. Hassan, Edith Hemaspaandra.
ECAI 2025 - Optimal Piecewise-based Mechanism for Collecting Bounded Numerical Data under Local Differential Privacy.
Ye Zheng, Sumita Mishra, Yidan Hu.
PETS 2025 - Towards a Bipartisan Understanding of Peace and Vicarious Interactions.
A. Dutta, S. M. Sualeh Ali, U. Naseem, A. R. KhudaBukhsh.
IJCAI 2025 (AI for Good) - All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract).
A. Dutta, A. Priyanshu, A. R. KhudaBukhsh.
AAAI 2025 - Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization.
Zhe Li, Bicheng Ying, Zidong Liu, Chaosheng Dong, Haibo Yang.
ICLR 2025 - Exploring Persuasive Engagement to Reduce Over-Reliance on AI-Assistance in a Customer Classification Case.
Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis
ACM UMAP 2025 - UX Challenges in Implementing an Interactive B2B Customer Segmentation Tool.
Muhammad Raees, Vassilis-Javed Khan, Konstantinos Papangelis
ACM CHI 2025 (Extended Abstracts) - Conservative Evidential Exploration of Long-Term User Interest in Dynamic Recommender Systems.
Dingrong Wang, Krishna Prasad Neupane, Qi Yu.
ICLR 2025 - PLM-DBPs: enhancing plant DNA-binding protein prediction by integrating sequence-based and structure-aware protein language models
Pokharel S., Barasa K., Pratyush P., KC, D.B.
Briefings in Bioinformatics, 2025. - CaLMPhosKAN: Prediction of General Phosphorylation Sites in Proteins via Fusion of Codon-Aware Embeddings with Amino Acid-Aware Embeddings and Wavelet-based Kolmogorov–Arnold Network
Pratyush P., Carrier C., Pokharel S., Ismail H., Chaudhari M., KC, D.B.
Bioinformatics (Oxford), 2025. - Evaluating dry-electrode electroencephalography system for auditory neuroscience using speech-in-noise tasks.
Takeuchi, A., Shim, H., Choi, I., & Kim, S.
The Journal of the Acoustical Society of America, 2025 - The role of self-construal in auditory spatial attention: Neural responses to masking noise in speech-in-noise tasks.
Takeuchi, A., Shim, H., Choi, I., & Kim, S.
The Journal of the Acoustical Society of America, 2025 - Factors Impacting Faculty Adoption of Project-Based Learning in Computing Education: A Survey.
Ahmad D. Suleiman, Yiming Tang, and Daqing Hou.
IEEE Frontiers in Education Conference, 2025. - Systematic Literature Review on Project-Based Learning in Computing Education.
Ahmad D. Suleiman, Daqing Hou, Yu Liu, Jan DeWaters, David C. Shepherd, and Juliana G. De Souza.
ACM Transactions on Computing Education, 2025. - Locally Differentially Private Frequency Estimation via Joint Randomized Response.
Ye Zheng, Shafizur Rahman Seeam, Yidan Hu, Rui Zhang, Yanchao Zhang.
PETS 2025
Year 2024
- Dungeons & deepfakes: Using scenario-based role-play to study journalists' behavior towards using AI-based verification tools for video content.
Sohrawardi, Saniat Javid, Y. Kelly Wu, Andrea Hickerson, and Matthew Wright
Proceedings of the 2024 CHI conference on human factors in computing systems, May 2024 - Laserbeak: Evolving website fingerprinting attacks with attention and multi-channel feature representation.
Mathews, Nate, James K. Holland, Nicholas Hopper, and Matthew Wright
IEEE Transactions on Information Forensics and Security 19 (2024): 9285-9300 - STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-Answering
Guohao Sun, Can Qin, Huazhu Fu, Linwei Wang, Zhiqiang Tao.
EMNLP 2024 - SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant.
Guohao Sun, Can Qin, Jiamian Wang, Zeyuan Chen, Ran Xu, Zhiqiang Tao.
ECCV 2024 - Prototypical Transformer As Unified Motion Learners
Cheng Han, Yawen Lu, Guohao Sun, James Chenhao Liang, Zhiwen Cao, Qifan Wang, Qiang Guan, Sohail Dianat, Raghuveer Rao, Tong Geng, Zhiqiang Tao, Dongfang Liu.
ICML 2024, 2024. - Text Is MASS: Modeling as Stochastic Embedding for Text-Video Retrieval.
Jiamian Wang, Guohao Sun, Pichao Wang, Dongfang Liu, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao.
CVPR 2024 - Aligning Out-of-Distribution Web Images and Caption Semantics via Evidential Learning.
Guohao Sun, Yue Bai, Xueying Yang, Yi Fang, Yun Fu, Zhiqiang Tao.
The Web Conference (WWW) 2024 - Token-wise Influential Training Data Retrieval for Large Language Models.
Huawei Lin, Jikai Long, Zhaozuo Xu, Weijie Zhao.
ACL 2024 - Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness.
Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu.
KDD 2024 - Adaptive Important Region Selection with Reinforced Hierarchical Searching for Dense Object Detection.
Dingrong Wang, Hitesh Sapkota, Qi Yu.
NeurIPS 2024 - LIBR+: Improving Intraoperative Liver Registration by Learning the Residual of Biomechanics-Based Deformable Registration.
Dingrong Wang, Soheil Azadvar, Jon Heiselman, Xiajun Jiang, Michael Miga, Linwei Wang.
MICCAI 2024 - VRF: Vehicle Road-side Point Cloud Fusion
K. N. Khan, A. Khalid, Y. Turkar, K. Dantu, F. Ahmad.
ACM MobiSys 2024 - MULTICOLLAB-ASL: Towards Affective Computing for the Deaf Community.
Hayden Orr, Michel Peechatt, Cecilia Alm.
ACM ASSETS 2024 - Service Composition Orchestration, Service Caching, and Computation Reuse at the Edge.
Carlos Barrios, Mohan Kumar
IEEE PerCom Workshops (PhD Forum) 2024 - Fundamental Convergence Analysis of Sharpness-Aware Minimization.
Pham Duy Khanh, Hoang-Chau Luong, Boris S. Mordukhovich, Dat Ba Tran.
NeurIPS 2024 - Down the Toxicity Rabbit Hole: A Framework to Bias-Audit Large Language Models.
A. Dutta, A. Khorramrouz, S. Dutta, A. R. KhudaBukhsh.
IJCAI 2024 (AI for Good) - DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks.
M. Toloubidokhti, Y. Ye, R. Missel, X. Jiang, N. Kumar, R. Shrestha, L. Wang.
ICLR 2024 - Approaching Code Search for Python as a Translation Retrieval Problem with Dual Encoders.
Khan, M. M., & Yu, Z.
Empirical Software Engineering, 2024. - Artificial Intelligence Based Emergency Identification Computer System.
Velychko D., Osukhivska H., Palaniza Y., Lutsyk N., Sobaszek L.
Advances in Science and Technology Research Journal, 2024. - From explainable to interactive AI: A literature review on current trends in human-AI interaction.
Muhammad Raees, Inge Meijerink, Ioanna Lykourentzou, Vassilis-Javed Khan, Konstantinos Papangelis
International Journal of Human-Computer Studies, 2024. - LMCrot: an enhanced protein crotonylation site predictor by leveraging an interpretable window-level embedding from a transformer-based protein language model.
Pratyush P., Bahmani S., Pokharel S., Ismail H., KC, D.B.
Bioinformatics, Vol 40, Issue 5, 2024 - Integrating Embeddings from Multiple Protein Language Models to Improve Protein O-GlcNAc Site Prediction.
Pokharel P., Pratyush P., Ma J., KC, D.B.
Intelligent Systems for Molecular Biology, 2024