Jingbo Zhou

27 papers · 2020–2026 · 8 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🏃 Academic Marathon (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🐝 Cross-Pollinator (10)

🌍 Conference Polyglot (8) 🏃 Academic Marathon (5) 🧭 Keyword Pioneer 🏆 Keyword Champion (2) 🔥 Unstoppable (6) 🚀 Conference Pioneer 💎 Century Club (23) ⚡ Prolific Year (6) 🗃️ Keyword Collector (137)

Conferences

AAAI (11) ACL (3) EMNLP (3) IJCAI (3) NIPS (3) ICLR (2) AACL (1) ICCV (1)

Top co-authors

Jun Xia (8) Stan Z. Li (8) Shaorong Chen (6) Dejing Dou (4) Hui Xiong (4) Haifeng Huang (3) Wenjie Du (3) Yuan Xia (3) Zhenhui Shi (3) Zicheng Liu (2)

Keywords

deep learning (5) graph neural network (5) mass spectrometry (4) peptide sequencing (4) reinforcement learning (3) multi-task learning (3) large language model (3) data augmentation (2) generative model (2) pre-trained language model (2) attention mechanism (2) dna sequence (2) feature distribution (1) sequential decision making (1) semi-supervised learning (1) hierarchical learning (1) policy gradient (1) robust optimization (1) representation learning (1) domain adaptation (1)

Papers

MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging AAAI 2026 Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control AAAI 2026 DuIVRS-2: An LLM-based Interactive Voice Response System for Large-scale POI Attribute Acquisition ACL 2026 AAPO: Enhancing the Reasoning Capabilities of LLMs with Advantage Margin ACL 2026 Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo ICLR 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025 Improving Retrieval Augmented Language Model with Self-Reasoning AAAI 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing IJCAI 2025 Visualization Recommendation with Prompt-based Reprogramming of Large Language Models ACL 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NIPS 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NIPS 2024 Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder AAAI 2024 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NIPS 2024 Robust Reward Placement under Uncertainty IJCAI 2024 Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning AAAI 2023 A Table-to-Text Framework with Heterogeneous Multidominance Attention and Self-Evaluated Multi-Pass Deliberation EMNLP 2023 Tuning Pre-trained Model via Moment Probing ICCV 2023 A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction EMNLP 2022 Efficient Device Scheduling with Multi-Job Federated Learning AAAI 2022 GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction AAAI 2022 Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing AAAI 2021 C-Watcher: A Framework for Early Detection of High-Risk Neighborhoods Ahead of COVID-19 Outbreak AAAI 2021 Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction AAAI 2020 Joint Intent Detection and Entity Linking on Spatial Domain Queries EMNLP 2020 Point-of-Interest Oriented Question Answering with Joint Inference of Semantic Matching and Distance Correlation AACL 2020 Generative Adversarial Regularized Mutual Information Policy Gradient Framework for Automatic Diagnosis AAAI 2020