PPaperPicks

Hanghang Tong

Arizona State University

66 papers at tracked venues · 48 at CORE A* · active 2024–2026

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Venues

CIKM ×11SIGKDD ×9ACL ×8ICLR ×6ICML ×6NeurIPS ×6WWW ×6AAAI ×2EACL ×2EMNLP ×2SIGIR ×2ICCV ×1ICDE ×1IJCAI ×1SDM ×1VLDB ×1WSDM ×1

Frequent coauthors

Zhining Liu
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Zhichen Zeng
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Xinyu He
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Ruizhong Qiu
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Hyunsik Yoo
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Zhe Xu
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Lihui Liu
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Lecheng Zheng
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Yuchen Yan
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Xiao Lin
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Haobo Xu
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Wenxuan Bao
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Papers

  1. Certified Defense on the Fairness of Graph Neural Networks
    SIGKDD 2026 ·
    Yushun Dong
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  2. Do VLMs Have a Moral Backbone? A Study on the Fragile Morality of Vision-Language Models
    ACL 2026 ·
    Zhining Liu
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  3. FeDecider: An LLM-Based Framework for Federated Cross-Domain Recommendation
    WWW 2026 ·
    Xinrui He
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  4. Harnessing Consistency for Robust Test-Time LLM Ensemble
    EACL 2026 ·
    Zhichen Zeng
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  5. How to Make LMs Strong Node Classifiers?
    EACL 2026 ·
    Zhe Xu
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  6. Mem-Gallery: Benchmarking Multimodal Long-Term Conversational Memory for MLLM Agents
    ACL 2026 ·
    Yuanchen Bei
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  7. Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation
    WWW 2026 ·
    Xiao Lin
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  8. Neural Predictive Control to Coordinate Discrete- and Continuous-Time Models for Time-Series Analysis with Control-Theoretical Improvements
    SIGKDD 2026 ·
    Haoran Li
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  9. PAPERMIND: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
    ACL 2026 ·
    Yanjun Zhao
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  10. PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
    SIGKDD 2026 ·
    Xinyu He
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  11. Prune as You Generate: Online Rollout Pruning for Faster and Better RLVR
    ACL 2026 ·
    Haobo Xu
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  12. dLLM: Simple Diffusion Language Modeling
    ACL 2026 ·
    Zhanhui Zhou
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  13. Ask, and it shall be given: On the Turing completeness of prompting
    ICLR 2025 ·
    Ruizhong Qiu
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  14. Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
    ICML 2025 ·
    Zhining Liu
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  15. CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
    NeurIPS 2025 ·
    Zhining Liu
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  16. ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method
    CIKM 2025 ·
    Dongqi Fu
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  17. Continual Recommender Systems
    CIKM 2025 ·
    Hyunsik Yoo
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  18. Embracing Plasticity: Balancing Stability and Plasticity in Continual Recommender Systems
    SIGIR 2025 ·
    Hyunsik Yoo
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  19. Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks
    CIKM 2025 ·
    Lihui Liu
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  20. Fine-Grained Graph Rationalization
    CIKM 2025 ·
    Zhe Xu
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  21. Generalizable Recommender System During Temporal Popularity Distribution Shifts
    SIGKDD 2025 ·
    Hyunsik Yoo
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  22. Graph Data Selection for Domain Adaptation: A Model-Free Approach
    NeurIPS 2025 ·
    Ting-Wei Li
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  23. Harnessing Vision Models for Time Series Analysis: A Survey
    IJCAI 2025 ·
    Jingchao Ni
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  24. Hephaestus: Mixture Generative Modeling with Energy Guidance for Large-scale QoS Degradation
    NeurIPS 2025 ·
    Nguyen Do
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  25. How efficient is LLM-generated code? A rigorous & high-standard benchmark
    ICLR 2025 ·
    Ruizhong Qiu
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  26. InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction
    CIKM 2025 ·
    Zhichen Zeng
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  27. Joint Optimal Transport and Embedding for Network Alignment
    WWW 2025 ·
    Qi Yu
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  28. Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
    ICCV 2025 ·
    Wenxuan Bao
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  29. Learning to Slice: Self-Supervised Interpretable Hierarchical Representation Learning with Graph Auto-Encoder Tree
    SIGKDD 2025 ·
    Jinning Li
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  30. Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
    ICLR 2025 ·
    Wenxuan Bao
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  31. PyG-SSL: A Graph Self-Supervised Learning Toolkit
    CIKM 2025 ·
    Lecheng Zheng
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  32. ResMoE: Space-efficient Compression of Mixture of Experts LLMs via Residual Restoration
    SIGKDD 2025 ·
    Mengting Ai
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  33. SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
    ACL 2025 ·
    Zhining Liu
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  34. Sparse Autoencoders in Collaborative Filtering Enhanced LLM-based Recommender Systems
    CIKM 2025 ·
    Xinyu He
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  35. Taming Knowledge Conflicts in Language Models
    ICML 2025 ·
    Gaotang Li
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  36. Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
    ICLR 2025 ·
    Xinyu He
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  37. To Answer or Not to Answer (TAONA): A Robust Textual Graph Understanding and Question Answering Approach
    EMNLP 2025 ·
    Yuchen Yan
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  38. AIM: Attributing, Interpreting, Mitigating Data Unfairness
    SIGKDD 2024 ·
    Zhining Liu
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  39. BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
    NeurIPS 2024 ·
    Xiao Lin
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  40. Class-Imbalanced Graph Learning without Class Rebalancing
    ICML 2024 ·
    Zhining Liu
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  41. Conversational Question Answering with Language Models Generated Reformulations over Knowledge Graph
    ACL 2024 ·
    Lihui Liu
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  42. Deceptive Fairness Attacks on Graphs via Meta Learning
    ICLR 2024 ·
    Jian Kang
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  43. Discrete-state Continuous-time Diffusion for Graph Generation
    NeurIPS 2024 ·
    Zhe Xu
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  44. Distributional Network of Networks for Modeling Data Heterogeneity
    SIGKDD 2024 ·
    Jun Wu
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  45. Ensuring User-side Fairness in Dynamic Recommender Systems
    WWW 2024 ·
    Hyunsik Yoo
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  46. Fairgen: Towards Fair Graph Generation
    ICDE 2024 ·
    Lecheng Zheng
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  47. Generate-on-Graph: Treat LLM as both Agent and KG for Incomplete Knowledge Graph Question Answering
    EMNLP 2024 ·
    Yao Xu
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  48. Genius: Subteam Replacement with Clustering-based Graph Neural Networks
    SDM 2024 ·
    Chuxuan Hu
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  49. Ginkgo-P: General Illustrations of Knowledge Graphs for Openness as a Platform
    WSDM 2024 ·
    Blaine Hill
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  50. Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
    ICML 2024 ·
    Ruizhong Qiu
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  51. Graph Anomaly Detection with Adaptive Node Mixup
    CIKM 2024 ·
    Qinghai Zhou
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  52. Graph Mixup on Approximate Gromov-Wasserstein Geodesics
    ICML 2024 ·
    Zhichen Zeng
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  53. Heterogeneous Contrastive Learning for Foundation Models and Beyond
    SIGKDD 2024 ·
    Lecheng Zheng
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  54. Hierarchical Multi-Marginal Optimal Transport for Network Alignment
    AAAI 2024 ·
    Zhichen Zeng
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  55. Masked Graph Transformer for Large-Scale Recommendation
    SIGIR 2024 ·
    Huiyuan Chen
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  56. Neural Active Learning Beyond Bandits
    ICLR 2024 ·
    Yikun Ban
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  57. New Frontiers of Knowledge Graph Reasoning: Recent Advances and Future Trends
    WWW 2024 ·
    Lihui Liu
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  58. On the Sensitivity of Individual Fairness: Measures and Robust Algorithms
    CIKM 2024 ·
    Xinyu He
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  59. PaCEr: Network Embedding From Positional to Structural
    WWW 2024 ·
    Yuchen Yan
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  60. PageRank Bandits for Link Prediction
    NeurIPS 2024 ·
    Yikun Ban
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  61. Rethinking the Bounds of LLM Reasoning: Are Multi-Agent Discussions the Key?
    ACL 2024 ·
    Qineng Wang
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  62. SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter
    ICML 2024 ·
    Haobo Xu
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  63. Sterling: Synergistic Representation Learning on Bipartite Graphs
    AAAI 2024 ·
    Baoyu Jing
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  64. TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time Ranges
    VLDB 2024 ·
    Ruizhong Qiu
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  65. The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 2024)
    CIKM 2024 ·
    Jiejun Xu
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  66. Topological Anonymous Walk Embedding: A New Structural Node Embedding Approach
    CIKM 2024 ·
    Yuchen Yan
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