Preprints

Year:

[2026] [2025] [2024] [2023] [2022] [2020] [2018] [2017] [2015]

Topic:

[All] [Computational Biology] [ML & DL]

---2026---

Fu L, Xia K, Wang Y, Jin Y, He J, Yang X, Liu H, Yu Y, Jin H, Xiao Y, et al., Wang H. From Knowledge Access to Source Learning: Developing Source-Specific Competence, arXiv preprint arXiv:2610.02150, 2026. [blog]
Kuang P, Jin H, Wu D, Deng F, Yuan X, Wang J, Wang H. Composing Task-specific Agent Harnesses at Test Time with Reusable Primitives, arXiv preprint arXiv:2609.38912, 2026.
Wang J, Jin H, Yuan X, Kuang P, Wang H. ANTMAN: Adaptive Need Tracking for Multi-Agent Navigation in Large Information Spaces, arXiv preprint arXiv:2609.33326, 2026.
Jin H, Wang S, Yu X, Luo H, Wang H. Harness Engineering in LLM Tool Use via Agent-Native Reusable Tool Primitives, arXiv preprint arXiv:2609.01736, 2026.
Guan R, Wu D, Xie Q, Li Y, Wang H. Agentic AI uncovers conserved cross-tissue protein co-abundance programs inaccessible to single-dataset analysis, arXiv preprint arXiv:2608.28990, 2026.
Lu Y, Yuan X, Wang H. Beyond Asking: A Pipeline for Personalized Game Generation that Reads Players from Behavior, arXiv preprint arXiv:2608.16196, 2026.
Yu Y, Chang K, Yu Y, Wang Y, Luo H, Wang H. CARD: Controlled Agentic Reddit Discussions for Credit Card Simulation, arXiv preprint arXiv:2608.09790, 2026.
Zuo Y, Fu Z, Nie Z, Zhu Z, Wang H. QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing, arXiv preprint arXiv:2608.07743, 2026.
Zhang P, Jin H, Kang L, Wang H. Preference Tuning as Spectral Update Reorganization, arXiv preprint arXiv:2607.20438, 2026.
Yu Y, Yu Y, Luo H, Wang H. MiroBench: Benchmarking Realism in Agentic Simulation of Real-world Discussions, arXiv preprint arXiv:2606.14715, 2026.
Yuan X, Wang Z, Wang S, Yang Z, Wang H, Dong Y. EASE-TTT: Evidence-Aligned Selective Test-Time Training for Long-Context Question Answering, arXiv preprint arXiv:2606.06906, 2026.
Yuan X, Jin H, Yu Y, Kuang P, Yu L, Dong Y, Wang H. Closing the Loop on Latent Reasoning via Test-Time Reconstruction, arXiv preprint arXiv:2606.06252, 2026.
Yu X, Jin H, Zeng H, Wang H. SCI-Defense: Defending Manipulation Attacks from Generative Engine Optimization, arXiv preprint arXiv:2605.21948, 2026.
Fu L, Yu Y, Wang Y, Jin Y, Jin H, Prakash BA, Wang H. TextReg: Mitigating Prompt Distributional Overfitting via Regularized Text-Space Optimization, arXiv preprint arXiv:2605.21318, 2026.
Yu Y, Yuan X, Jin H, Liu H, Yu Y, Wang H. Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation, arXiv preprint arXiv:2605.09315, 2026.
Yu Y, Liu H, Jin H, Yuan X, Kuang P, Wang H. Learning to Communicate: Toward End-to-End Optimization of Multi-Agent Language Systems, arXiv preprint arXiv:2604.21794, 2026.
Wang Y, Kuang P, Han X, Xu K, Wang H. Beyond Surface Statistics: Robust Conformal Prediction for LLMs via Internal Representations, arXiv preprint arXiv:2604.16217, 2026.
Jin H, Chen R, Zhang P, Luo Y, Zeng H, Luo M, Wang H. Controlling Output Rankings in Generative Engines for LLM-based Search, arXiv preprint arXiv:2602.03608, 2026. [project] [blog] [research]
Jiang Y, Li Y, Xie Q, Li Y, Wang H. Joint modeling of multi-timepoint spatial observations for time-resolved spatial-unit-specific gene regulatory network inference, bioRxiv preprint, 2026.

---2025---

Chen K, Wang Y, Almosapeeh H, Wang H. Knowing How to Edit: Reliable Evaluation Signals for Diagnosing and Optimizing Prompts at Query Level, arXiv preprint arXiv:2511.19829, 2025.
Yu Y, Chang K, Yu Y, Wei K, Luo H, Wang H. Synthetic Data-Driven Prompt Tuning for Financial QA over Tables and Documents, arXiv preprint arXiv:2511.06292, 2025.
Jin H, Chen R, Zhang P, Zhou A, Cheng Z, Wang H. GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs, arXiv preprint arXiv:2508.20325, 2025.
Zhang P, Jin H, Kang L, Wang H. GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing, arXiv preprint arXiv:2507.07735, 2025.
Yadav A, Jin H, Luo M, Zhuang J, Wang H. InfoFlood: Jailbreaking Large Language Models with Information Overload, arXiv preprint arXiv:2506.12274, 2025. [research]
Yuan X, Zhang X, Xu K, Xu Y, Yu L, Wang J, Dong Y, Wang H. Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making, arXiv preprint arXiv:2506.12012, 2025.
Jin H, Zhang P, Wang P, Luo M, Wang H. From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models, arXiv preprint arXiv:2505.24232, 2025.
Ji Y, Wang H. Socratic Chart: Cooperating Multiple Agents for Robust SVG Chart Understanding, arXiv preprint arXiv:2504.09764, 2025. [essay]
Zhang Y, Li Y, Zhao T, Zhu K, Wang H, Vasconcelos N. Achilles Heel of Distributed Multi-Agent Systems, arXiv preprint arXiv:2504.07461, 2025.
Liu B, Li X, Zhang J, Wang J, He T, Hong S, Liu H, Zhang S, Song K, Zhu K, et al., Wang H. Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems, arXiv preprint arXiv:2504.01990, 2025.
Xue E, Chen K, Huang Z, Ji Y, Wang H. IMPROVE: Iterative Model Pipeline Refinement and Optimization Leveraging LLM Experts, arXiv preprint arXiv:2502.18530, 2025.

---2024---

Wang P, Wang H. DistDD: Distributed Data Distillation Aggregation through Gradient Matching, arXiv preprint arXiv:2410.08665, 2024.
Chen K, Wang Y, Zhou Y, Wang H. DS-ViT: Dual-Stream Vision Transformer for Cross-Task Distillation in Alzheimer's Early Diagnosis, arXiv preprint arXiv:2409.07584, 2024.
Zhang Y, Zhang X, Wu W, Wang H. Quantitative Evaluation of the Saliency Map for Alzheimer's Disease Classifier with Anatomical Segmentation, arXiv preprint arXiv:2407.08546, 2024.
Jin H, Hu L, Li X, Zhang P, Chen C, Zhuang J, Wang H. JailbreakZoo: Survey, Landscapes, and Horizons in Jailbreaking Large Language and Vision-Language Models, arXiv preprint arXiv:2407.01599, 2024. [research]
Wang Y, Li W, Pearce T, Wang H. From Tissue Plane to Organ World: A Benchmark Dataset for Multimodal Biomedical Image Registration using Deep Co-Attention Networks, arXiv preprint arXiv:2406.04105, 2024.
Li Y, Ren S, Deng W, Xu Y, Gao Y, Ngai E, Wang H. Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation, arXiv preprint arXiv:2403.05523, 2024.

---2023---

Zhang T, Liu H, Zhang P, Cheng Y, Wang H. Beyond Pixels: Exploring Human-Readable SVG Generation for Simple Images with Vision Language Models, arXiv preprint arXiv:2311.15543, 2023. [essay]
Liu H, Chaudhary M, Wang H. Towards Trustworthy and Aligned Machine Learning: A Data-centric Survey with Causality Perspectives, arXiv preprint arXiv:2307.16851, 2023. [blog] [essay]
Chen Z, Wang H. Heteroscedastic Personalized Regression Unveils Genetic Basis of Alzheimer’s Disease Stratified by Cognitive Level, bioRxiv preprint, 2023.

---2022---

Luu M, Huang Z, Xing EP, Lee YJ, Wang H. Expeditious Saliency-guided Mix-up through Random Gradient Thresholding, arXiv preprint arXiv:2212.04875, 2022.
Zhong Y, Wang H, Xing EP. MRCLens: an MRC Dataset Bias Detection Toolkit, arXiv preprint arXiv:2207.08943, 2022.
Chen C, Jiang Q, Wang C, Chen N, Wang H, Li X, Raj B. Bear the Query in Mind: Visual Grounding with Query-conditioned Convolution, arXiv preprint arXiv:2206.09114, 2022.

---2020---

Wang H, Zhang P, Xing EP. Word Shape Matters: Robust Machine Translation with Visual Embedding, arXiv preprint arXiv:2010.09997, 2020.

---2018---

Yue T, Wang Y, Zhang L, Gu C, Xue H, Wang W, Lyu Q, Dun Y. Deep Learning for Genomics: A Concise Overview, arXiv preprint arXiv:1802.00810, 2018.

---2017---

Wang H, Raj B. On the Origin of Deep Learning, arXiv preprint arXiv:1702.07800, 2017.

---2015---

Wang H, Ganapathiraju MK. Evaluation of Protein-protein Interaction Predictors with Noisy Partially Labeled Data Sets, arXiv preprint arXiv:1509.05742, 2015.