MulAttenRec: A Multi-level Attention-Based Model for Recommendation. - Zhipeng Lin; Wenjing Yang 002; Yongjun Zhang 006; Haotian Wang 001; Yuhua Tang (ICONIP (2), 2018)

Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots. - Haotian Wang 001; Wenjing Yang 002; Wanrong Huang; Zhipeng Lin; Yuhua Tang (ICONIP (7), 2018)

TMDA: Task-Specific Multi-source Domain Adaptation via Clustering Embedded Adversarial Training. - Haotian Wang 001; Wenjing Yang 002; Zhipeng Lin; Yue Yu (ICDM, 2019)

Rademacher dropout: An adaptive dropout for deep neural network via optimizing generalization gap. - Haotian Wang 001; Wenjing Yang 002; Zhenyu Zhao; Tingjin Luo; Ji Wang 001; Yuhua Tang (Neurocomputing, 2019)

Cauchy sparse NMF with manifold regularization: A robust method for hyperspectral unmixing. - Haotian Wang 001; Wenjing Yang 002; Naiyang Guan (Knowl. Based Syst., 2019)

Adversarial Mixup Synthesis Training for Unsupervised Domain Adaptation. - Yuhua Tang; Zhipeng Lin; Haotian Wang 001; Liyang Xu (ICASSP, 2020)

Pairwise Similarity Regularization for Adversarial Domain Adaptation. - Haotian Wang 001; Wenjing Yang 002; Ji Wang 001; Ruxin Wang 002; Long Lan; Mingyang Geng (ACM Multimedia, 2020)

An effective few-shot learning approach via location-dependent partial differential equation. - Haotian Wang 001; Zhenyu Zhao; Yuhua Tang (Knowl. Inf. Syst., 2020)

Estimating Individualized Causal Effect with Confounded Instruments. - Haotian Wang 001; Wenjing Yang 002; Longqi Yang; Anpeng Wu; Liyang Xu; Jing Ren; Fei Wu 001; Kun Kuang (KDD, 2022)

Factual Observation Based Heterogeneity Learning for Counterfactual Prediction. - Hao Zou 001; Haotian Wang 001; Renzhe Xu; Bo Li 064; Jian Pei 001; Ye Jun Jian; Peng Cui 001 (CLeaR, 2023)

Domain Specified Optimization for Deployment Authorization. - Haotian Wang 001; Haoang Chi; Wenjing Yang 002; Zhipeng Lin; Mingyang Geng; Long Lan; Jing Zhang 037; Dacheng Tao (ICCV, 2023)

Competing for Shareable Arms in Multi-Player Multi-Armed Bandits. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (ICML, 2023)

Interpretation-based Code Summarization. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Shaomeng Cao; Kechi Zhang; Zhi Jin (ICPC, 2023)

Treatment Effect Estimation with Adjustment Feature Selection. - Haotian Wang 001; Kun Kuang; Haoang Chi; Longqi Yang; Mingyang Geng; Wanrong Huang; Wenjing Yang 002 (KDD, 2023)

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Ge Li 001; Zhi Jin; Xiaoguang Mao; Xiangke Liao (CoRR, 2023)

Stable Prediction With Leveraging Seed Variable. - Kun Kuang; Haotian Wang 001; Yue Liu; Ruoxuan Xiong; Runze Wu 001; Weiming Lu 001; Yueting Zhuang; Fei Wu 001; Peng Cui 001; Bo Li 064 (IEEE Trans. Knowl. Data Eng., 2023)

Scaling Few-Shot Learning for the Open World. - Zhipeng Lin; Wenjing Yang 002; Haotian Wang 001; Haoang Chi; Long Lan; Ji Wang 001 (AAAI, 2024)

Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs. - Kexin Ma 008; Ruochun Jin; Haotian Wang 001; Xi Wang; Huan Chen; Yuhua Tang; Qian Wang (EMNLP (Findings), 2024)

Diversifying Cross-Domain Few-Shot Learning via Multimodal Image Editing. - Zhipeng Lin; Wenjing Yang 002; Long Lan; Mingyang Geng; Haotian Wang 001; Haoang Chi; Xueqiong Li; Ji Wang 001 (ICASSP, 2024)

Modality Re-Balance for Visual Question Answering: A Causal Framework. - Xinpeng Lv; Wanrong Huang; Haotian Wang 001; Ruochun Jin; Xueqiong Li; Zhipeng Lin; Shuman Li; Yongquan Feng; Yuhua Tang (ICASSP, 2024)

Learning Feasible Causal Algorithmic Recourse without Prior Structure. - Haotian Wang 001; Hao Zou 001; Xueguang Zhou; Shangwen Wang; Long Lan; Wenjing Yang 002; Peng Cui 001 (ICDM (Workshops), 2024)

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. - Mingyang Geng; Shangwen Wang; Dezun Dong; Haotian Wang 001; Ge Li 001; Zhi Jin; Xiaoguang Mao; Xiangke Liao (ICSE, 2024)

Your Neighbor Matters: Towards Fair Decisions Under Networked Interference. - Wenjing Yang 002; Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Ruochun Jin; Kun Kuang; Peng Cui 001 (KDD, 2024)

PPA-Game: Characterizing and Learning Competitive Dynamics Among Online Content Creators. - Renzhe Xu; Haotian Wang 001; Xingxuan Zhang; Bo Li 064; Peng Cui 001 (CoRR, 2024)

Out-of-Distribution Generalization With Causal Feature Separation. - Haotian Wang 001; Kun Kuang; Long Lan; Zige Wang; Wanrong Huang; Fei Wu 001; Wenjing Yang 002 (IEEE Trans. Knowl. Data Eng., 2024)

Text-Guided Multi-Class Multi-Object Tracking for Fine-Grained Maritime Rescue. - Shuman Li; Zhipeng Lin; Haotian Wang 001; Wenjing Yang 002; Hengzhu Liu (Remote. Sens., 2024)

Automated Exposure Mapping for Networked Interference. - Yunxin Mao; Haotian Wang 001; Yishuai Cai; Minglong Li; Ji Wang 001; Wenjing Yang 002 (ICASSP, 2025)

Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models. - Haotian Wang 001; Haoxuan Li 001; Hao Zou 001; Haoang Chi; Long Lan; Wanrong Huang; Wenjing Yang 002 (ICLR, 2025)

Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach. - Haotian Wang 001; Hao Zou 001; Xueguang Zhou; Shangwen Wang; Wenjing Yang 002; Peng Cui 001 (WWW, 2025)

Mitigating Sensitive Information Leakage in LLMs4Code through Machine Unlearning. - Ruotong Geng; Mingyang Geng; Shangwen Wang; Haotian Wang 001; Zhipeng Lin; Dezun Dong (CoRR, 2025)

GGF: Global Geometric Feature for Rotation-Invariant Point Cloud Understanding. - Yunzhe Xiao; Fu Li; Haotian Wang 001; Shaowu Yang (J. Comput. Sci. Technol., 2025)

GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution. - Fengxiang Wang 004; Mingshuo Chen; Yueying Li; Di Wang 023; Haotian Wang 001; Zonghao Guo; Zefan Wang; Boqi Shan; Long Lan; Yulin Wang; Hongzhen Wang; Wenjing Yang 002; et al. (CoRR, 2025)