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Jun Liu

Xi'an Jiaotong University, Shaanxi Provincial Key Laboratory of Big Data Knowledge Engineering, Xi'an, China

40 papers at tracked venues · 37 at CORE A* · active 2024–2026

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Venues

ACL ×14AAAI ×6NeurIPS ×4SIGIR ×4CVPR ×2EMNLP ×2WWW ×2ACM MM ×1ICDE ×1IJCAI ×1SIGKDD ×1SIGMOD ×1VLDB ×1

Frequent coauthors

Fangzhi Xu
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Xinyu Zhang
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Tianzhe Zhao
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Jian Zhang
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Muye Huang
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Jie Ma
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Yifei Li
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Wenjun Wu
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Yaxian Wang
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Yudai Pan
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Pengyu Li
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Mingqi Wang
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Papers

  1. AGTAO: Robust and Stabilized LLM Unlearning via Adversarial Gating Training with Adaptive Orthogonality
    ACL 2026 ·
    Pengyu Li
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  2. CANDOR-Bench: Benchmarking In-Memory Continuous ANNS under Dynamic Open-World Streams [Experiments & Analysis]
    SIGMOD 2026 ·
    Mingqi Wang
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  3. Dual-Cluster Memory Agent: Resolving Multi-Paradigm Ambiguity in Optimization Problem Solving
    ACL 2026 ·
    Xinyu Zhang
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  4. Exploring Knowledge Conflicts for Faithful LLM Reasoning: Benchmark and Method
    SIGIR 2026 ·
    Tianzhe Zhao
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  5. GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines
    ACL 2026 ·
    Yumeng Fu
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  6. Locomo-Plus: Beyond-Factual Cognitive Memory Evaluation Framework for LLM Agents
    ACL 2026 ·
    Yifei Li
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  7. MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning
    AAAI 2026 ·
    Jian Zhang
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  8. MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization
    AAAI 2026 ·
    Jian Zhang
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  9. MAXS: Meta-Adaptive Exploration with LLM Agents
    ACL 2026 ·
    Jian Zhang
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  10. MUR: Momentum Uncertainty guided Reasoning for Large Language Models
    ACL 2026 ·
    Hang Yan
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  11. OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving
    ACL 2026 ·
    Xinyu Zhang
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  12. PhysPRM: A Generative Process Reward Model with Fine-grained Diagnosis for Physics Problem Solving
    ACL 2026 ·
    Yuxuan Dong
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  13. Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration
    NeurIPS 2025 ·
    Wenjun Wu
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  14. ChartSketcher: Reasoning with Multimodal Feedback and Reflection for Chart Understanding
    NeurIPS 2025 ·
    Muye Huang
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  15. Cognitive Predictive Coding Network: Rethinking the Generalization in Raven's Progressive Matrices
    ACM MM 2025 ·
    Xinyu Zhang
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  16. Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models
    AAAI 2025 ·
    Jie Ma
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  17. Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs
    NeurIPS 2025 ·
    Jie Ma
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  18. Diagram-Driven Course Questions Generation
    EMNLP 2025 ·
    Xinyu Zhang
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  19. EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
    AAAI 2025 ·
    Muye Huang
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  20. Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning
    ACL 2025 ·
    Fangzhi Xu
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  21. GlFoMR: A Glance-then-Focus Multimodal Reasoning Framework for Diagram Question Answering
    SIGIR 2025 ·
    Yaxian Wang
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  22. Hierarchical Alignment-enhanced Adaptive Grounding Network for Generalized Referring Expression Comprehension
    AAAI 2025 ·
    Yaxian Wang
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  23. Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
    ACL 2025 ·
    Fangzhi Xu
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  24. Logic-Aware Knowledge Graph Reasoning for Structural Sparsity under Large Language Model Supervision
    WWW 2025 ·
    Yudai Pan
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  25. Metapath and Hypergraph Structure-based Multi-Channel Graph Contrastive Learning for Student Performance Prediction
    IJCAI 2025 ·
    Lingyun Song
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  26. PipeTGL: (Near) Zero Bubble Memory-based Temporal Graph Neural Network Training via Pipeline Optimization
    VLDB 2025 · Jun Liu
  27. Rethinking Continual Knowledge Graph Embedding: Benchmarks and Analysis
    SIGIR 2025 ·
    Tianzhe Zhao
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  28. SAGE: Scale-Aware Gradual Evolution for Continual Knowledge Graph Embedding
    SIGKDD 2025 ·
    Yifei Li
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  29. VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning
    AAAI 2025 ·
    Muye Huang
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  30. φ-Decoding: Adaptive Foresight Sampling for Balanced Inference-Time Exploration and Exploitation
    ACL 2025 ·
    Fangzhi Xu
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  31. A Symbolic Rule Integration Framework with Logic Transformer for Inductive Relation Prediction
    WWW 2024 ·
    Yudai Pan
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  32. CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering
    CVPR 2024 ·
    Shaowei Wang
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  33. Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract)
    ICDE 2024 ·
    Qika Lin
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  34. E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator
    CVPR 2024 ·
    Wenjun Wu
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  35. Look, Listen, and Answer: Overcoming Biases for Audio-Visual Question Answering
    NeurIPS 2024 ·
    Jie Ma
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  36. PathReasoner: Modeling Reasoning Path with Equivalent Extension for Logical Question Answering
    ACL 2024 ·
    Fangzhi Xu
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  37. QGEval: Benchmarking Multi-dimensional Evaluation for Question Generation
    EMNLP 2024 ·
    Weiping Fu
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  38. Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models
    ACL 2024 ·
    Fangzhi Xu
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  39. Untargeted Adversarial Attack on Knowledge Graph Embeddings
    SIGIR 2024 ·
    Tianzhe Zhao
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  40. When Phrases Meet Probabilities: Enabling Open Relation Extraction with Cooperating Large Language Models
    ACL 2024 ·
    Jiaxin Wang
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