| 2026 | AAAI | Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models. | Aofan Liu, Haoxuan Li, Hongjian Xing, Yuguo Yin, Zijun Li, Yiyan Qi |
| 2026 | AAAI | TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models. | Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li |
| 2026 | AAAI | Uplift Modeling with Delayed Feedback: Identifiability and Algorithms. | Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin |
| 2026 | ACL | Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Haoxuan Li, Wen-li Wang, Jinkun Chen, Mingming Gong, Kun Zhang |
| 2026 | ACL | Graph of Trace: Visualizing Execution Traces of Scientific Agents. | Tianci Gao, Haoxuan Li, Jianhe Li, Tianxiang Zhao, Runze Shi, Weiran Wang, Zezhao Wu, Lu Mi |
| 2026 | ACL | Beyond Self-Report: Bridging the Intention-Behavior Gap in Critical Thinking Assessment via Interpretable Multi-Agent System. | Zekun Li, Jifan Yu, Haoxuan Li, Ye He, Daniel Zhang-Li, Shangqing Tu, Joy Lim Jia Yin, Yikun Jiang, Jiaxin Yuan, Yu Zhang |
| 2026 | ACL | IGenBench: Benchmarking the Reliability of Text-to-Infographic Generation. | Yinghao Tang, Xueding Liu, Boyuan Zhang, Tingfeng Lan, Yupeng Xie, Jiale Lao, Yiyao Wang, Haoxuan Li, Tingting Gao, Bo Pan, Luoxuan Weng, Xiuqi Huang, Minfeng Zhu, Yingchaojie Feng, Yuyu Luo, Wei Chen |
| 2026 | ACL | From Knowing to Teaching: Scaffolding Pedagogical Decisions for LLM Agent. | Yucheng Wang, Shen Yang, Jifan Yu, Haoxuan Li, Joy Lim Jia Yin, Daniel Zhang-Li, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu |
| 2026 | ACL | SimPBL: A Multi-Agent Framework for Project-Based Learning. | Daniel Zhang-Li, Joy Lim Jia Yin, Binglin Liu, Shangqing Tu, Zijun Yao, Hao Peng, Jifan Yu, Haoxuan Li, Zhanxin Hao, Ye He, Zekun Li, Jiangyi Wang, Lei Hou, Bin Xu, Xin Cong, Zhiyuan Liu, Huiqin Liu, Yu Zhang, Juanzi Li |
| 2026 | EACL | What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning. | Zhaotian Weng, Haoxuan Li, Xin Eric Wang, Kuan-Hao Huang, Jieyu Zhao |
| 2026 | WWW | ThinkTank-ME: A Multi-Expert Framework for Middle East Event Forecasting. | Haoxuan Li, He Chang, Yunshan Ma, Yi Bin, Yang Yang, See-Kiong Ng, Tat-Seng Chua |
| 2026 | SIGIR | Optimizing Marketing Subsidies via Counterfactual Learning with Asymmetric Reward Function. | Xiang Li, Yanghao Xiao, Chunyuan Zheng, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin |
| 2026 | SIGIR | User Activity Modeling under Inflated Distribution. | Xiang Li, Zhao-Yu Zhang, Chunyuan Zheng, Qingying Chen, Huiyou Jiang, Haoxuan Li, Zhouchen Lin |
| 2026 | SIGIR | Hierarchical Denoising Entire Space Multi-Task Model for Post-Click Conversion Rate Prediction with Noisy Labels. | Yan Lyu, Haoxuan Li, Tianyu Xia, Xiang Li, Xiangnan Feng, Chunyuan Zheng, Xiao-Hua Zhou |
| 2026 | SIGIR | Debiased Recommendation Beyond the Positive Propensity Assumption. | Yanghao Xiao, Hao Wang, Xiang Li, Qian Zou, Cheng Bing, Wei Lin, Haoxuan Li, Zhouchen Lin |
| 2025 | AAAI | HiPoser: 3D Human Pose Estimation with Hierarchical Shared Learning at Parts-Level Using Inertial Measurement Units. | Guorui Liao, Chunyuan Zheng, Li Cheng, Haoyu Xie, Shanshan Huang, Jun Liao, Haoxuan Li, Li Liu |
| 2025 | AAAI | Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition. | Haoyu Xie, Haoxuan Li, Chunyuan Zheng, Haonan Yuan, Guorui Liao, Jun Liao, Li Liu |
| 2025 | CIKM | International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). | Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat-Seng Chua |
| 2025 | CIKM | EduCraft: A System for Generating Pedagogical Lecture Scripts from Long-Context Multimodal Presentations. | Yucheng Wang, Jifan Yu, Daniel Zhang-Li, Joy Lim Jia Yin, Shangqing Tu, Haoxuan Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu |
| 2025 | CVPR | Text-Driven Fashion Image Editing with Compositional Concept Learning and Counterfactual Abduction. | Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Mingyuan Ge, Wei Gao, Lei Wang, Li Liu |
| 2025 | CVPR | Visual Representation Learning through Causal Intervention for Controllable Image Editing. | Shanshan Huang, Haoxuan Li, Chunyuan Zheng, Lei Wang, Guorui Liao, Zhili Gong, Huayi Yang, Li Liu |
| 2025 | EMNLP | Mitigating Spurious Correlations via Counterfactual Contrastive Learning. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Alina Leidinger, Haoxuan Li, Mingming Gong, Fenrong Liu, Robert van Rooij |
| 2025 | EMNLP | Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification. | Aofan Liu, Shiyuan Song, Haoxuan Li, Cehao Yang, Yiyan Qi |
| 2025 | ICASSP | Unifying Within and Across: Intra-Modality Multi-View Fusion and Inter-Modality Alignment for Knowledge Graph Completion. | Zhen Li, Jibin Wang, Zhuo Chen, Kun Wu, Meng Ai, Leike An, Liqiang Wang, Haoxuan Li |
| 2025 | ICCV | MeshPad: Interactive Sketch-Conditioned Artist-Reminiscent Mesh Generation and Editing. | Haoxuan Li, Ziya Erko, Lei Li, Daniele Sirigatti, Vladislav Rosov, Angela Dai, Matthias Niener |
| 2025 | ICLR | Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. | Haotian Wang, Haoxuan Li, Hao Zou, Haoang Chi, Long Lan, Wanrong Huang, Wenjing Yang |
| 2025 | ICLR | FreDF: Learning to Forecast in the Frequency Domain. | Hao Wang, Lichen Pan, Yuan Shen, Zhichao Chen, Degui Yang, Yifei Yang, Sen Zhang, Xinggao Liu, Haoxuan Li, Dacheng Tao |
| 2025 | ICLR | Optimal Transport for Time Series Imputation. | Hao Wang, Zhengnan Li, Haoxuan Li, Xu Chen, Mingming Gong, BinChen, Zhichao Chen |
| 2025 | ICML | Unbiased Recommender Learning from Implicit Feedback via Weakly Supervised Learning. | Hao Wang, Zhichao Chen, Haotian Wang, Yanchao Tan, Pan Li, Tianqiao Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | ICML | Learning without Isolation: Pathway Protection for Continual Learning. | Zhikang Chen, Abudukelimu Wuerkaixi, Sen Cui, Haoxuan Li, Ding Li, Jingfeng Zhang, Bo Han, Gang Niu, Houfang Liu, Yi Yang, Sifan Yang, Changshui Zhang, Tianling Ren |
| 2025 | ICML | Large Language Models are Demonstration Pre-Selectors for Themselves. | Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang |
| 2025 | ICML | Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness. | Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang |
| 2025 | ICML | Active Treatment Effect Estimation via Limited Samples. | Zhiheng Zhang, Haoxiang Wang, Haoxuan Li, Zhouchen Lin |
| 2025 | ICONIP | A Voice-Based Gender and Age Recognition System on Devices with Low Computational Resources. | Haoxuan Li, Yonghui Rao |
| 2025 | IJCAI | Empowering LLMs with Logical Reasoning: A Comprehensive Survey. | Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin |
| 2025 | IJCNN | DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation. | Haoxuan Li, Wei Song, Aofan Liu, Peiwu Qin |
| 2025 | IJCNN | RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution. | Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li |
| 2025 | KDD | Proximity Matters: Local Proximity Enhanced Balancing for Treatment Effect Estimation. | Hao Wang, Zhichao Chen, Zhaoran Liu, Xu Chen, Haoxuan Li, Zhouchen Lin |
| 2025 | KDD | Mitigating Data Imbalance in Time Series Classification Based on Counterfactual Minority Samples Augmentation. | Lei Wang, Shanshan Huang, Chunyuan Zheng, Jun Liao, Xiaofei Zhu, Haoxuan Li, Li Liu |
| 2025 | KDD | Classifying Treatment Responders: Bounds and Algorithms. | Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang |
| 2025 | KDD | A Two-Stage Pretraining-Finetuning Framework for Treatment Effect Estimation with Unmeasured Confounding. | Chuan Zhou, Yaxuan Li, Chunyuan Zheng, Haiteng Zhang, Min Zhang, Haoxuan Li, Mingming Gong |
| 2025 | NAACL | CharacterBox: Evaluating the Role-Playing Capabilities of LLMs in Text-Based Virtual Worlds. | Lei Wang, Jianxun Lian, Yi Huang, Yanqi Dai, Haoxuan Li, Xu Chen, Xing Xie, Ji-Rong Wen |
| 2025 | SMC | A Multi-Structural Graph Fusion Approach for Code Representation in Code Search. | Longhao Ao, Rongzhi Qi, Haoxuan Li |
| 2025 | WWW | Beyond Dataset Watermarking: Model-Level Copyright Protection for Code Summarization Models. | Jiale Zhang, Haoxuan Li, Di Wu, Xiaobing Sun, Qinghua Lu, Guodong Long |
| 2025 | WWW | CAP: Causal Air Quality Index Prediction Under Interference with Unmeasured Confounding. | Huayi Yang, Chunyuan Zheng, Guorui Liao, Shanshan Huang, Jun Liao, Zhili Gong, Haoxuan Li, Li Liu |
| 2025 | SIGIR | Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction. | Chunyuan Zheng, Hang Pan, Yang Zhang, Haoxuan Li |
| 2024 | AAAI | Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation. | Minqin Zhu, Anpeng Wu, Haoxuan Li, Ruoxuan Xiong, Bo Li, Xiaoqing Yang, Xuan Qin, Peng Zhen, Jiecheng Guo, Fei Wu, Kun Kuang |
| 2024 | CVPR | SceneTex: High-Quality Texture Synthesis for Indoor Scenes via Diffusion Priors. | Dave Zhenyu Chen, Haoxuan Li, Hsin-Ying Lee, Sergey Tulyakov, Matthias Niener |
| 2024 | ICDE | Uncovering the Propensity Identification Problem in Debiased Recommendations. | Honglei Zhang, Shuyi Wang, Haoxuan Li, Chunyuan Zheng, Xu Chen, Li Liu, Shanshan Luo, Peng Wu |
| 2024 | ICLR | Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. | Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He |
| 2024 | ICLR | Debiased Collaborative Filtering with Kernel-Based Causal Balancing. | Haoxuan Li, Chunyuan Zheng, Yanghao Xiao, Peng Wu, Zhi Geng, Xu Chen, Peng Cui |
| 2024 | ICLR | MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. | Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang |
| 2024 | ICML | On the Maximal Local Disparity of Fairness-Aware Classifiers. | Jinqiu Jin, Haoxuan Li, Fuli Feng |
| 2024 | ICML | A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective. | Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang |
| 2024 | ICML | Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias. | Baohong Li, Haoxuan Li, Ruoxuan Xiong, Anpeng Wu, Fei Wu, Kun Kuang |
| 2024 | ICML | Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering. | Haoxuan Li, Chunyuan Zheng, Shuyi Wang, Kunhan Wu, Eric Hao Wang, Peng Wu, Zhi Geng, Xu Chen, Xiao-Hua Zhou |
| 2024 | ICML | Learning Causal Relations from Subsampled Time Series with Two Time-Slices. | Anpeng Wu, Haoxuan Li, Kun Kuang, Keli Zhang, Fei Wu |
| 2024 | KDD | Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. | Wenjing Yang, Haotian Wang, Haoxuan Li, Hao Zou, Ruochun Jin, Kun Kuang, Peng Cui |
| 2024 | KDD | Debiased Recommendation with Noisy Feedback. | Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou |
| 2024 | SMC | Residual Diffusion Model for Joint Stochastic Trajectory Prediction in Roadside Surveillance Environments. | Haoxuan Li, Wei He, Tao Wang, Nan Wang |
| 2023 | AAAI | Multiple Robust Learning for Recommendation. | Haoxuan Li, Quanyu Dai, Yuru Li, Yan Lyu, Zhenhua Dong, Xiao-Hua Zhou, Peng Wu |
| 2023 | CIKM | PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering. | Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong |
| 2023 | ICDM | CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation. | Jun Wang, Haoxuan Li, Chi Zhang, Dongxu Liang, Enyun Yu, Wenwu Ou, Wenjia Wang |
| 2023 | ICLR | TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations. | Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu |
| 2023 | ICLR | StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random. | Haoxuan Li, Chunyuan Zheng, Peng Wu |
| 2023 | ICML | Propensity Matters: Measuring and Enhancing Balancing for Recommendation. | Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui |
| 2023 | ICML | Trustworthy Policy Learning under the Counterfactual No-Harm Criterion. | Haoxuan Li, Chunyuan Zheng, Yixiao Cao, Zhi Geng, Yue Liu, Peng Wu |
| 2023 | KDD | Who Should Be Given Incentives? Counterfactual Optimal Treatment Regimes Learning for Recommendation. | Haoxuan Li, Chunyuan Zheng, Peng Wu, Kun Kuang, Yue Liu, Peng Cui |
| 2023 | KSEM | Debiased Contrastive Loss for Collaborative Filtering. | Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong |
| 2023 | RecSys | ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. | Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou |
| 2023 | WWW | Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations. | Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu |
| 2023 | SIGIR | Causal Recommendation: Progresses and Future Directions. | Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | IJCAI | On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges. | Peng Wu, Haoxuan Li, Yuhao Deng, Wenjie Hu, Quanyu Dai, Zhenhua Dong, Jie Sun, Rui Zhang, Xiao-Hua Zhou |
| 2022 | KDD | A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction. | Quanyu Dai, Haoxuan Li, Peng Wu, Zhenhua Dong, Xiao-Hua Zhou, Rui Zhang, Rui Zhang, Jie Sun |
| 2022 | SC | Accelerating Elliptic Curve Digital Signature Algorithms on GPUs. | Zonghao Feng, Qipeng Xie, Qiong Luo, Yujie Chen, Haoxuan Li, Huizhong Li, Qiang Yan |
| 2018 | SIGIR | Automated Comparative Table Generation for Facilitating Human Intervention in Multi-Entity Resolution. | Jiacheng Huang, Wei Hu, Haoxuan Li, Yuzhong Qu |