PPaperPicks

Hao Wang

13 papers at tracked venues · 13 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Haoxuan Li
×10
Zhichao Chen
×7
Xu Chen
×6
Zhouchen Lin
×5
Zhengnan Li
×2
Pan Li
×2
Chunyuan Zheng
×2
Xiao-Hua Zhou
×2
Yanghao Xiao
×1
Xiang Li
×1
Qian Zou
×1
Cheng Bing
×1

Papers

  1. Debiased Recommendation Beyond the Positive Propensity Assumption
    SIGIR 2026 ·
    Yanghao Xiao
    , Hao Wang,
    Xiang Li
    ,
    Qian Zou
    ,
    Cheng Bing
    ,
    Wei Lin
    ,
    Haoxuan Li
    ,
    Zhouchen Lin
  2. DeepAgent: A General Reasoning Agent with Scalable Toolsets
    WWW 2026 ·
    Xiaoxi Li
    ,
    Wenxiang Jiao
    ,
    Jiarui Jin
    ,
    Guanting Dong
    ,
    Jiajie Jin
    ,
    Yinuo Wang
    , Hao Wang,
    Yutao Zhu
    ,
    Ji-Rong Wen
    ,
    Yuan Lu
    ,
    Zhicheng Dou
  3. FreDF: Learning to Forecast in the Frequency Domain
    ICLR 2025 · Hao Wang,
    Lichen Pan
    ,
    Yuan Shen
    ,
    Zhichao Chen
    ,
    Degui Yang
    ,
    Yifei Yang
    ,
    Sen Zhang
    ,
    Xinggao Liu
    ,
    Haoxuan Li
    ,
    Dacheng Tao
  4. Iterative Missing Data Imputation with Model Form Adaptation and Non-Missing Feature Supervision
    NeurIPS 2025 · Hao Wang,
    Zhengnan Li
    ,
    Zhichao Chen
    ,
    Xu Chen
    ,
    Shuting He
    ,
    Guangyi Liu
    ,
    Haoxuan Li
    ,
    Zhouchen Lin
  5. Optimal Transport for Time Series Imputation
    ICLR 2025 · Hao Wang,
    Zhengnan Li
    ,
    Haoxuan Li
    ,
    Xu Chen
    ,
    Mingming Gong
    ,
    BinChen
    ,
    Zhichao Chen
  6. Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation
    SIGKDD 2025 · Hao Wang,
    Zhichao Chen
    ,
    Zhaoran Liu
    ,
    Xu Chen
    ,
    Haoxuan Li
    ,
    Zhouchen Lin
  7. Time-o1: Time-Series Forecasting Needs Transformed Label Alignment
    NeurIPS 2025 · Hao Wang,
    Pan Li
    ,
    Zhichao Chen
    ,
    Xu Chen
    ,
    Qingyang Dai
    ,
    Lei Wang
    ,
    Haoxuan Li
    ,
    Zhouchen Lin
  8. Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning
    ICML 2025 · Hao Wang,
    Zhichao Chen
    ,
    Haotian Wang
    ,
    Yanchao Tan
    ,
    Pan Li
    ,
    Tianqiao Liu
    ,
    Xu Chen
    ,
    Haoxuan Li
    ,
    Zhouchen Lin
  9. A Data-Centric Multi-Objective Learning Framework for Responsible Recommendation Systems
    WWW 2024 ·
    Xu Huang
    ,
    Jianxun Lian
    , Hao Wang,
    Hao Liao
    ,
    Defu Lian
    ,
    Xing Xie
  10. Debiased Recommendation with Noisy Feedback
    SIGKDD 2024 ·
    Haoxuan Li
    ,
    Chunyuan Zheng
    ,
    Wenjie Wang
    , Hao Wang,
    Fuli Feng
    ,
    Xiao-Hua Zhou
  11. Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting
    AAAI 2024 · Hao Wang
  12. Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering
    ICML 2024 ·
    Haoxuan Li
    ,
    Chunyuan Zheng
    ,
    Shuyi Wang
    ,
    Kunhan Wu
    , Eric Hao Wang,
    Peng Wu
    ,
    Zhi Geng
    ,
    Xu Chen
    ,
    Xiao-Hua Zhou
  13. Rethinking the Diffusion Models for Missing Data Imputation: A Gradient Flow Perspective
    NeurIPS 2024 ·
    Zhichao Chen
    ,
    Haoxuan Li
    ,
    Fangyikang Wang
    ,
    Odin Zhang
    ,
    Hu Xu
    ,
    Xiaoyu Jiang
    ,
    Zhihuan Song
    , Hao Wang