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Jian Guo

29 papers · 2020–2026 · 12 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (60) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Gold πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🀝 Dynamic Duo (15) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze ⚑ Prolific Year Β· Prolific 🌈 Renaissance Researcher (6) πŸ—ƒοΈ Keyword Collector (134)

Venues

EMNLP (6) ICLR (4) ACL (3) NAACL (3) NeurIPS (3) AAAI (2) COLING (2) IJCAI (2) CVPR (1) EACL (1) ICCV (1) JMLR (1)

Top co-authors

Chengjin Xu (15) Xuhui Jiang (9) Yeyun Gong (8) Yiyan Qi (7) Cehao Yang (6) CHEN LIN (5) Hang Zhang (5) Jiashuo Sun (4) Muzhi Li (3) Lionel Ni (3)

Research topics

Artificial Intelligence (19) Core AI (17) Machine Learning (15) Natural Language Processing (15) Deep Learning (10) Applications Β· Natural Language Processing (9) Learning Types Β· Machine Learning (6) Core Methods (5) Optimization & Theory (5) Resources & Methods (5) Generation (4) Learning Types Β· Deep Learning (4) Data Science & Analytics (3) Reinforcement Learning (3) Applications Β· Data Science & Analytics (3)

Keywords

large language model (9) knowledge graph (4) retrieval-augmented generation (3) faithful reasoning (2) entity alignment (2) knowledge enhancement (2) multimodal large language model (2) synthetic data generation (2) dynamic graph (2) transfer learning (2) contrastive learning (2) chain-of-thought reasoning (2) knowledge graph completion (2) negative sampling (2) reinforcement learning (2) multimodal learning (2) deep reinforcement learning (2) dense retrieval (2) representation learning (2) continual pre-training (2)

Papers

BAG: Benchmarking Anomaly Detection on Dynamic Graphs AAAI 2026 Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs EACL 2026 DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis ACL 2026 Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment EMNLP 2025 ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding ICLR 2025 ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning ICCV 2025 Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning AAAI 2025 Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models EMNLP 2025 LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data ACL 2025 Rationalizing and Augmenting Dynamic Graph Neural Networks ICLR 2025 Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion NAACL 2025 Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation ICLR 2025 VLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training EMNLP 2025 APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning COLING 2024 Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models NAACL 2024 Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models NAACL 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024 Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval COLING 2024 MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment EMNLP 2024 Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph ICLR 2024 Unlocking the Power of Large Language Models for Entity Alignment ACL 2024 AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation NeurIPS 2023 Noisy Pair Corrector for Dense Retrieval EMNLP 2023 DN-DETR: Accelerate DETR Training by Introducing Query DeNoising CVPR 2022 Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping NeurIPS 2022 FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning NeurIPS 2022 Sentiment-Aware Word and Sentence Level Pre-training for Sentiment Analysis EMNLP 2022 GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing JMLR 2020 Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction IJCAI 2020