Ziqian Bi 毕梓仟

Ph.D. in Computer Science · ECE/EE Background 计算机科学博士 · 电子与电气工程背景
Purdue University (bi32@purdue.edu) · Indiana University (bizi@iu.edu)
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Representative publications first, followed by the remaining publication list without duplicates.

Selected Publications

This section is ordered by representative value for my current profile: first-author work, formally published work, and papers most relevant to Artificial Intelligence (AI) / Machine Learning (ML) / Large Language Model (LLM) / sensing / medical AI roles.

  1. Ziqian Bi , Amit Singha , et al. . Physical backdoor attacks against mmwave-based human activity recognition. 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS), 2025.
  2. Ziqian Bi , Lu Chen , et al. . Exploring efficiency frontiers of thinking budget in medical reasoning: Scaling laws between computational resources and reasoning quality. Journal of Biomedical Informatics, 2026.
  3. Ziqian Bi , Haonan Duan , et al. . GeneralBench: A Comprehensive Benchmark Suite and Evaluation Platform for Large Language Models. 2025.
  4. Jiawei Xu , Ziqian Bi , et al. . mmlock: User leaving detection against data theft via high-quality mmwave radar imaging. 2023 32nd International Conference on Computer Communications and Networks (ICCCN), 2023.
  5. Ziqian Bi , Raymond Gao , et al. . A Subspace Projection Based Technique for Visualizing Machine Learning Models. The 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2025.
  6. Qian Niu , Junyu Liu , et al. , Ziqian Bi , et al. . Large language models and cognitive science: A comprehensive review of similarities, differences, and challenges. BIO Integration, 2024.
  7. Chia Xin Liang , Pu Tian , et al. , Ziqian Bi , et al. . A comprehensive survey and guide to multimodal large language models in vision--language tasks. Computation, 2026.
  8. Amith Korada , Yingying Chen , et al. , Ziqian Bi , et al. . Temporal and spatial patterns of secondary motor cortex calcium activity in cocaine self-administration: A study using miniScope imaging and machine learning. Neuropharmacology, 2025.
  9. Pengyu Pan , Shiyuan Li , et al. , Ziqian Bi , et al. . CD9-positive tumor-associated macrophages promote renal cell carcinoma progression by activating the orphan nuclear receptor Nor1/Nr4a3. Cancer Cell International, 2025.
  10. Junmin Huang , Lu Chen , et al. , Ziqian Bi , et al. . Use of machine learning models to predict mortality in dialysis patients. Frontiers in Public Health, 2025.
  11. Amit Singha , Ziqian Bi , et al. . Securing contrastive mmwave-based human activity recognition against adversarial label flipping. Proceedings of the 17th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2024.
  12. Han Wang , Guoguang Lao , et al. , Ziqian Bi , et al. . Predicting ICU in-hospital mortality from text-encoded structured EHR data using adaptive transformer layer fusion. iScience, 2026.

Remaining Publications

The list below excludes the selected publications already shown above and is reformatted from the current BibTeX source into a human-readable bibliography.

Published

  1. Ziqian Bi , Raymond Gao , et al. . A General Framework for Visualizing Machine Learning Models. VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 2024.
  2. Longzhu Li , Zeqiong Lin , et al. , Ziqian Bi , et al. . Renal Macrophage TLR7 Signaling in Lupus Nephritis: From Pathogenic Mechanisms to Therapeutic Opportunities. Frontiers in Immunology, 2026.
  3. Longzhu LI , Jiacheng Liao , et al. , Ziqian Bi , et al. . Integrating Machine Learning, Deep Learning, and Molecular Docking to Predict the Molecular Network Mechanism of Aristolochic Acid I-Induced Renal Cell Carcinoma. Frontiers in Pharmacology, 2026.
  4. Junmin Huang , Changheng Li , et al. , Ziqian Bi , et al. . The epigenetic basis of vascular calcification: focus on histone modifications. European Journal of Medical Research, 2026.
  5. Junfeng Hao , Naiquan Liu , et al. , Ziqian Bi , et al. . Sirp-$\alpha$ Antibody Inhibits Renal Cell Carcinoma Progression via Akt1/Akt2 Modulation in Tumor-Associated Macrophages. Journal of Inflammation Research, 2025.
  6. Ting Liu , Ruoyun He , et al. , Ziqian Bi , et al. . Cochlear immunology and its therapeutic revolution. Frontiers in Immunology, 2025.

arXiv / Preprint

  1. Ziqian Bi , Kaijie Chen , et al. . Cot-x: An adaptive framework for cross-model chain-of-thought transfer and optimization. arXiv preprint arXiv:2511.05747, 2025.
  2. Ziqian Bi , Danyang Zhang , et al. . Is GPT-OSS All You Need? Benchmarking Large Language Models for Financial Intelligence and the Surprising Efficiency Paradox. arXiv preprint arXiv:2512.14717, 2025.
  3. Ziqian Bi , Keyu Chen , et al. . Is GPT-OSS Good? A Comprehensive Evaluation of OpenAI's Latest Open Source Models. arXiv preprint arXiv:2508.12461, 2025.
  4. Ziqian Bi , Jiawei Xu , et al. . Fmcw radar principles and human activity recognition systems: Foundations, techniques, and applications. arXiv preprint arXiv:2410.08483, 2024.
  5. Junhao Song , Ziqian Bi , et al. . Data Verification is the Future of Quantum Computing Copilots. arXiv preprint arXiv:2602.04072, 2026.
  6. Weiche Hsieh , Ziqian Bi , et al. . A comprehensive guide to explainable AI: from classical models to LLMs. arXiv preprint arXiv:2412.00800, 2024.
  7. Ming Li , Ziqian Bi , et al. . Deep learning and machine learning with gpgpu and cuda: Unlocking the power of parallel computing. arXiv preprint arXiv:2410.05686, 2024.
  8. Jintao Ren , Ziqian Bi , et al. . Deep Learning and Machine Learning--Object Detection and Semantic Segmentation: From Theory to Applications. arXiv preprint arXiv:2410.15584, 2024.
  9. Silin Chen , Ziqian Bi , et al. . Deep Learning and Machine Learning--Python Data Structures and Mathematics Fundamental: From Theory to Practice. arXiv preprint arXiv:2410.19849, 2024.
  10. Tianyang Wang , Ziqian Bi , et al. . Deep learning and machine learning, advancing big data analytics and management: Object-oriented programming. arXiv preprint arXiv:2409.19916, 2024.
  11. Keyu Chen , Ziqian Bi , et al. . Deep learning and machine learning, advancing big data analytics and management: Tensorflow pretrained models. arXiv preprint arXiv:2409.13566, 2024.
  12. Pohsun Feng , Ziqian Bi , et al. . Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Unveiling AI's Potential Through Tools, Techniques, and Applications. arXiv preprint arXiv:2410.01268, 2024.
  13. Keyu Chen , Ziqian Bi , et al. . Deep learning and machine learning: Advancing big data analytics and management with design patterns. arXiv preprint arXiv:2410.03795, 2024.
  14. Tianyang Wang , Ziqian Bi , et al. . Deep learning model security: Threats and defenses. arXiv preprint arXiv:2412.08969, 2024.
  15. Weiche Hsieh , Ziqian Bi , et al. . Deep Learning, Machine Learning--Digital Signal and Image Processing: From Theory to Application. arXiv preprint arXiv:2410.20304, 2024.
  16. Weiche Hsieh , Ziqian Bi , et al. . Deep learning, machine learning, advancing big data analytics and management. arXiv preprint arXiv:2412.02187, 2024.
  17. Pohsun Feng , Ziqian Bi , et al. . Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models--AutoML from Basics to State-of-the-Art Techniques. arXiv preprint arXiv:2410.09596, 2024.
  18. Pohsun Feng , Ziqian Bi , et al. . Mastering AI: Big Data, Deep Learning, and the Evolution of Large Language Models--Blockchain and Applications. arXiv preprint arXiv:2410.10110, 2024.
  19. Zechun Deng , Ziwei Liu , et al. , Ziqian Bi , et al. . Achieving Trustworthy Real-Time Decision Support Systems with Low-Latency Interpretable AI Models. arXiv preprint arXiv:2506.20018, 2025.
  20. Chiung-Yi Tseng , Junhao Song , et al. , Ziqian Bi , et al. . Active Learning Methods for Efficient Data Utilization and Model Performance Enhancement. arXiv preprint arXiv:2504.16136, 2025.
  21. Siyi Wu , Chiaxin Liang , et al. , Ziqian Bi , et al. . AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveys. arXiv preprint arXiv:2510.26012, 2025.
  22. Jingxuan Zhang , Robert J Hart , et al. , Ziqian Bi , et al. . Generating a biometrically unique and realistic iris database. arXiv preprint arXiv:2503.11930, 2025.
  23. Junhao Song , Yichao Zhang , et al. , Ziqian Bi , et al. . Generative adversarial networks bridging art and machine intelligence. arXiv preprint arXiv:2502.04116, 2025.
  24. Danyang Zhang , Junhao Song , et al. , Ziqian Bi , et al. . Mixture of experts in large language models. arXiv preprint arXiv:2507.11181, 2025.
  25. Keyu Chen , Cheng Fei , et al. , Ziqian Bi , et al. . Deep Learning and Machine Learning--Natural Language Processing: From Theory to Application. arXiv preprint arXiv:2411.05026, 2024.
  26. Benji Peng , Chia Xin Liang , et al. , Ziqian Bi , et al. . From noise to nuance: Advances in deep generative image models. arXiv preprint arXiv:2412.09656, 2024.
  27. Ming Li , Keyu Chen , et al. , Ziqian Bi , et al. . Surveying the mllm landscape: A meta-review of current surveys. arXiv preprint arXiv:2409.18991, 2024.
  28. Yichao Zhang , Ningyuan Deng , et al. , Ziqian Bi , et al. . Advanced deep learning methods for protein structure prediction and design. arXiv preprint arXiv:2503.13522, 2025.
  29. Junjie Yang , Junhao Song , et al. , Ziqian Bi , et al. . Feature alignment and representation transfer in knowledge distillation for large language models. arXiv preprint arXiv:2504.13825, 2025.
  30. Xudong Han , Junjie Yang , et al. , Ziqian Bi , et al. . Towards alignment-centric paradigm: A survey of instruction tuning in large language models. arXiv preprint arXiv:2508.17184, 2025.
  31. Benji Peng , Xuanhe Pan , et al. , Ziqian Bi , et al. . Deep learning and machine learning, advancing big data analytics and management: Handy appetizer. arXiv preprint arXiv:2409.17120, 2024.
  32. Benji Peng , Keyu Chen , et al. , Ziqian Bi , et al. . Jailbreaking and mitigation of vulnerabilities in large language models. arXiv preprint arXiv:2410.15236, 2024.
  33. Qian Niu , Keyu Chen , et al. , Ziqian Bi , et al. . From text to multimodality: Exploring the evolution and impact of large language models in medical practice. arXiv preprint arXiv:2410.01812, 2024.
  34. Benji Peng , Keyu Chen , et al. , Ziqian Bi , et al. . Securing large language models: Addressing bias, misinformation, and prompt attacks. arXiv preprint arXiv:2409.08087, 2024.
  35. Lin Yu , Xiaofei Han , et al. , Ziqian Bi , et al. . Affective multimodal agents with proactive knowledge grounding for emotionally aligned marketing dialogue. arXiv preprint arXiv:2511.21728, 2025.
  36. Tianyang Wang , Silin Chen , et al. , Ziqian Bi , et al. . From in silico to in vitro: a comprehensive guide to validating bioinformatics findings. arXiv preprint arXiv:2502.03478, 2025.
  37. Qihang Jin , Enze Ge , et al. , Ziqian Bi , et al. . Multimodal representation learning and fusion. arXiv preprint arXiv:2506.20494, 2025.
  38. Lawrence KQ Yan , Qian Niu , et al. , Ziqian Bi , et al. . Large language model benchmarks in medical tasks. arXiv preprint arXiv:2410.21348, 2024.
  39. Charles Zhang , Benji Peng , et al. , Ziqian Bi , et al. . From word vectors to multimodal embeddings: Techniques, applications, and future directions for large language models. arXiv preprint arXiv:2411.05036, 2024.
  40. Jie Xiao , Meng Chen , et al. , Ziqian Bi , et al. . ECHO-2: A Large Scale Distributed Rollout Framework for Cost-efficient Reinforcement Learning. arXiv preprint arXiv:2602.02192, 2026.
  41. Xintian Sun , Benji Peng , et al. , Ziqian Bi , et al. . From pixels to prose: Advancing multi-modal language models for remote sensing. arXiv preprint arXiv:2411.05826, 2024.
  42. Chiung-Yi Tseng , Danyang Zhang , et al. , Ziqian Bi , et al. . 47B Mixture-of-Experts Beats 671B Dense Models on Chinese Medical Examinations. arXiv preprint arXiv:2511.21701, 2025.
  43. Shengkai Xu , Hsiang Lun Kao , et al. , Ziqian Bi , et al. . Adaptive Detector-Verifier Framework for Zero-Shot Polyp Detection in Open-World Settings. arXiv preprint arXiv:2512.12492, 2025.
  44. Baozhu Huang , Cheng Chen , et al. , Ziqian Bi , et al. . Early Prediction of In-Hospital ICU Mortality Using Innovative First-Day Data: A Review. arXiv preprint arXiv:2505.12344, 2025.
  45. Tianyang Wang , Yunze Wang , et al. , Ziqian Bi , et al. . From aleatoric to epistemic: Exploring uncertainty quantification techniques in artificial intelligence. arXiv preprint arXiv:2501.03282, 2025.
  46. Han Wang , Ruoyun He , et al. , Ziqian Bi , et al. . Predicting ICU In-Hospital Mortality Using Adaptive Transformer Layer Fusion. arXiv preprint arXiv:2506.04924, 2025.
  47. Tianyang Wang , Ming Liu , et al. , Ziqian Bi , et al. . From Bench to Bedside: A Review of Clinical Trials in Drug Discovery and Development. arXiv preprint arXiv:2412.09378, 2024.

Unpublished / In Preparation

  1. Ziqian Bi , Xiaoming Li , et al. . Agentic AI and Autonomous Agents Development Strategies. 2026.
  2. Jiawei Xu , Ziqian Bi , et al. . AI-Driven Human-Robot Collaboration in Intralogistics Systems: A Comprehensive Survey. 2026.
  3. Kangda Wei , Ziqian Bi , et al. . Predicting LLM Training and Inference Runtime: A Survey of Methods, Datasets, and Open Challenges. 2026.
  4. Ziwei Liu , Ziqian Bi , et al. . Hardware accelerated foundations for multimodal medical ai systems: A comprehensive survey. 2025.
  5. Chia Xin Liang , Ziqian Bi , et al. . Low-Rank Adaptation for Scalable Large Language Models: A Comprehensive Survey. 2025.
  6. Jinlang Wang , Ziqian Bi , et al. . Modern Data Systems: ML/DL-Driven Architecture for Big Data Management and Analytics. 2025.
  7. Xinliang Chia , Ziqian Bi , et al. . Post-Training of Large Language Models: A Comprehensive Survey. 2025.
  8. Benji Peng , Ziqian Bi , et al. . Emerging techniques in vision-based human posture detection: Machine learning methods and applications. 2024.
  9. Han Xu , Ziqian Bi , et al. . From Transformers to the Future: An In-Depth Exploration of Modern Language Model Architectures. 2024.
  10. Jiawei Xu , Zhenyu Yu , et al. , Ziqian Bi , et al. . PRIME: Policy-Reinforced Iterative Multi-Agent Execution for Algorithmic Reasoning in Large Language Models. 2026.
  11. Jiawei Xu , Chia Xin Liang , et al. , Ziqian Bi , et al. . A Comprehensive Survey on Distributed Deep Learning Training: Parallelism Strategies, Frameworks, and Network Interconnects. 2025.
  12. Yichao Zhang , Junjie Yang , et al. , Ziqian Bi , et al. . Bridging Traditional and Deep Learning Approaches in Image Segmentation. 2025.
  13. Xinyuan Song , Keyu Chen , et al. , Ziqian Bi , et al. . Deep Learning and Machine Learning: Contrastive Learning, from scratch to application. 2025.
  14. Jiawei Xu , Chia Xin Liang , et al. , Ziqian Bi , et al. . Large Language Models Empowering Small Language Models: A Comprehensive Survey on Collaboration, Knowledge Transfer, and Efficient Deployment. 2025.
  15. Ho Yi , Chia Xin Liang , et al. , Ziqian Bi , et al. . Mastering SLAM: Techniques, Algorithms, and Applications in Artificial Intelligence and Autonomous Systems. 2025.
  16. Zechun Deng , Xiaoming Li , et al. , Ziqian Bi , et al. . Multi-Agent Systems and Social Intelligence: A Comprehensive Survey on Collaboration, Communication, and Emergent Behaviors. 2025.
  17. Xinyuan Song , WEI-CHE HSIEH , et al. , Ziqian Bi , et al. . Large Language Models in Nonprofit and Public Good Sectors. 2024.
  18. Xinyuan Song , Keyu Chen , et al. , Ziqian Bi , et al. . Mastering reinforcement learning: Foundations, algorithms, and real-world applications. 2024.
  19. Xinyuan Song , Keyu Chen , et al. , Ziqian Bi , et al. . Transformer: A survey and application. 2024.
  20. Bowen Jing , Junhao Song , et al. , Ziqian Bi , et al. . Transformative Approaches in Deep Learning and Image Semantic Segmentation: From Theory to Practice. 2026.
  21. Yiming Lei , Jiawei Xu , et al. , Ziqian Bi , et al. . A Comprehensive Survey on Model Context Protocol: Architecture, Tool Integration, and the Future of AI Interoperability. 2025.
  22. Chiung-Yi Tseng , Danyang Zhang , et al. , Ziqian Bi , et al. . Diffusion-based Large Language Models Survey. 2025.
  23. Lifan Sun , Yichao Zhang , et al. , Ziqian Bi , et al. . Exploring Multimodal Embeddings for Text and Impact on Language Processing. 2025.
  24. Ruitong Wu , Enze Ge , et al. , Ziqian Bi , et al. . From Correlation to Causation: The Foundations of Trustworthy Clinical AI. 2025.
  25. Hongying Luo , Zihan Wei , et al. , Ziqian Bi , et al. . Representation Learning Under Limited Supervision Across Few-shot and Zero-shot Paradigms. 2025.
  26. Yu Ding , Xudong Han , et al. , Ziqian Bi , et al. . Instruction Tuning for Large Language Models: RLHF, Supervised Fine-Tuning, and Alignment Strategies. 2026.
  27. Zheyu Yao , Yichao Zhang , et al. , Ziqian Bi , et al. . Multimodal Embeddings for Representation Learning. 2025.
  28. Junhao Song , Junjie Yang , et al. , Ziqian Bi , et al. . Semantic segmentation for vision and intelligence. 2025.
  29. Yang Mo , Enze Ge , et al. , Ziqian Bi , et al. . Towards Structured Reasoning: A Comprehensive Survey of Chain-of-Thought Reasoning in Large Language Models. 2025.
  30. Enze Ge , Qihang Jin , et al. , Ziqian Bi , et al. . From Memory to Alignment: A Comprehensive Review of Large Language Model Optimization. 2025.
  31. Zhu Huang , Hongying Luo , et al. , Ziqian Bi , et al. . Methodologies and Advances in Fine-Tuning Techniques for Large Language Models. 2025.
  32. Tianyang Wang , Yunze Wang , et al. , Ziqian Bi , et al. . Deep learning and machine learning-generative models: Foundations, techniques, and applications. 2024.
  33. Xintian Sun , Fushuo Huo Benji Peng , et al. , Ziqian Bi , et al. . Advancing Multi-Modal Language Models for Remote Sensing: A Comprehensive Survey. 2024.
  34. Silin Chen , Tianyang Wang , et al. , Ziqian Bi , et al. . Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Generative Models. 2024.
  35. Ming Liu , Tianyang Wang , et al. , Ziqian Bi , et al. . Ethics and social implications of large language models. 2024.
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