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Selected Publications

    2026

  • Automatic TCAD Calibration Based on Bayesian Optimization for SiC MOSFET, Mengyao Zhao, Yanji He, Zhenya Wang, Yong Gu, Tianchun Nie, Yu Huang, Runhua Huang, Song Bai, Haining Shi, Wei Wang, Jiaxing Wei, Sheng Li, Yongjia Li, Jie Ma, Siyang Liu, Long Zhang, and Weifeng Sun. Science China Information Sciences, 2026.
    AI4S XAI
  • DGPO: Beyond Pairwise Preferences with Directional Consistent Groupwise Optimization, Mengyi Deng, Zhiwei Li, Xin Li, Tingyu Zhu, Yulan Yuan, Zhijiang Guo, and Wei Wang. ACL Findings, 2026.
    LLM
  • Elastic Index Selection for Label-Hybrid AKNN Search, Mingyu Yang, Wenxuan Xia, Wentao Li, Raymond Chi-Wing Wong, and Wei Wang. VLDB, 2026.
    ANN High-Dim
  • From Basis to Basis: Gaussian Particle Representation for Interpretable PDE Operators, Zhihao Li, Yu Feng, Zhilu Lai, and Wei Wang. ICML, 2026.
    AI4S PDE XAI
  • GNN Defender: Overcoming Mixed Noise through Cross-correction over Nodes and Edges, Xiaobo Zhang, Yutao Liu, Hao Wang, Wei Xie, and Wei Wang. IEEE Transactions on Knowledge and Data Engineering, 2026.
    App
  • IDEA: An Interpretable and Editable Decision-Making Framework for LLMs via Verbal-to-Numeric Calibration, Yanji He, Yuxin Jiang, Yiwen Wu, Bo Huang, Jiaheng Wei, and Wei Wang. ACL Findings, 2026.
    XAI
  • M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers, Zhihao Li, Zhilu Lai, Xiaobo Zhang, and Wei Wang. KDD, 2026.
    AI4S
  • Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search, Mingyu Yang, Liuchang Jing, Wentao Li, and Wei Wang. VLDB, 2026.
    ANN High-Dim DB
  • Reconstructing TensorLog for Scalable End-to-end Rule Learning, Kunxun Qi, Jianfeng Du, Hai Wan, and Wei Wang. ICDE, 2026.
    DL
  • Uncertainty-Aware Clarification in LLM Agents with Information Gain, Mengyi Deng, Zhiwei Li, Xin Li, Tingyu Zhu, Ying Zhao, Zhijiang Guo, and Wei Wang. ICML, 2026.
    LLM

    • 2025

  • Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization, Yuxin Jiang, Bo Huang, Yufei Wang, Xingshan Zeng, Liangyou Li, Yasheng Wang, Xin Jiang, Lifeng Shang, Ruiming Tang, and Wei Wang. ICLR, 2025.
    LLM
  • ChatCAD: An MLLM-Guided Framework for Zero-shot CAD Drawing Restoration, Jing Tang, Hongru Xiao, Xiang Li, Wei Wang, and Zeyu Gong. ICASSP, 2025.
    LLM App
  • Detoxifying Large Language Models via the Diversity of Toxic Samples, Ying Zhao, Yuanzhao Guo, Xuemeng Weng, Yuan Tian, Wei Wang, and Yi Chang. EMNLP, 2025.
    LLM
  • DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party Dialogue, Xiang li, Duyi Pan, Hongru Xiao, Jiale Han, Jing Tang, Jiabao Ma, Wei Wang, and Bo Cheng. ICME, 2025.
    DL App
  • Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection, Mingyang Chen, Jiawei Du, Bo Huang, Yi Wang, Xiaobo Zhang, and Wei Wang. AAAI, 2025.
    DL
  • Effective and General Distance Computation for Approximate Nearest Neighbor Search, Mingyu Yang, Wentao Li, Jiabao Jin, Xiaoyao Zhong, Xiangyu Wang, Zhitao Shen, Wei Jia, and Wei Wang. ICDE, 2025.
    LLM DB
  • Graph-based Approximate Nearest Neighbor Search by Deep Reinforcement Routing, Mingjie Li, Junhao Lin, Dian Ouyang, Ying Zhang, and Wei Wang. ACM Multimedia, 2025.
    LLM DB
  • Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries, Zhihao Li, Haoze SONG, Di Xiao, Zhilu Lai, and Wei Wang. KDD, 2025.
    AI4S PDE
  • Influence-Guided Diffusion for Dataset Distillation, Mingyang Chen, Jiawei Du, Bo Huang, Yi Wang, Xiaobo Zhang, and Wei Wang. ICLR, 2025.
    DL DB
  • Localized Data Shapley: Accelerating Valuation for Nearest Neighbor Algorithms, Guangyi Zhang, Yanhao Wang, Chengliang Chai, Qiyu Liu, and Wei Wang. NeurIPS, 2025.
    XAI
  • Locally Balancing Signed Graphs, Weizhe Chen, Wentao Li, Min Gao, Dong Wen, Maolin Cai, and Wei Wang. KDD, 2025.
    DB Graph
  • MetricEmbedding: Accelerate Metric Nearness by Tropical Inner Product, Muyang Cao, Jiajun Yu, Xin Du, Gang Pan, and Wei Wang. ICML, 2025.
    Theory
  • MRA-FD: Driver Fatigue Detection via Deep Convolutional Modeling with Local and Global Features, Xiaobo Zhang, Hailong Zheng, Qianjun Zhang, Hao Wang, and Wei Wang. IEEE Transactions on Vehicular Technology, 2025.
    DL App
  • Parameter estimation of structural dynamics with neural operators enabled surrogate modeling, Zhilu Lai, Mingyuan Zhou, Haoze Song, Wenjing Ye, and Wei Wang. Mechanical Systems and Signal Processing, 2025.
    AI4S
  • PUER: Boosting Few-shot Positive-Unlabeled Entity Resolution with Reinforcement Learning, Yaoshu Wang, Mengyi Yan, and Wei Wang. EMNLP Findings, 2025.
    DB
  • Robustness Feature Adapter for Efficient Adversarial Training, Quanwei Wu, Jun Guo, Wei Wang, and Yi Wang. ECAI, 2025.
    AdvML
  • Structural Clustering for Bipartite Graphs, Mingyu Yang, Wentao Li, Wei Wang, Wen Dong, Min Gao, and Lu Qin. IEEE Transactions on Data and Knowledge Engineering, 2025.
    Graph
  • When Evolution Strategy Meets Language Models Tuning, Bo Huang, Yuxin Jiang, Mingyang Chen, Yi Wang, Hongyang Chen, and Wei Wang. COLING, 2025.
    LLM
  • When Inverse Data Outperforms: Exploring the Pitfalls of Mixed Data in Multi-Stage Fine-Tuning, Mengyi Deng, Xin Li, Tingyu Zhu, Zhicheng Yang, Zhijiang Guo, and Wei Wang. EMNLP Findings, 2025.
    LLM

    • 2024

  • Beyond the Commute: Unlocking the Potential of Electric Vehicles as Future Energy Storage Solutions (Vision Paper), Muhammad Aamir Cheema, Hao Wang, Wei Wang, Adel Nadjaran Toosi, Egemen Tanin, Jianzhong Qi, and Hanan Samet. ACM SIGSPATIAL, 2024.
    Best Vision Paper
    DB AI4S
  • Querying Numeric-Constrained Shortest Distances on Road Networks, Mingyu Yang, Wentao Li, Wei Wang, Dong Wen, and Lu Qin. ICDE, 2024.
    DB Graph