Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. - Chen Chen 043; Haobo Wang 001; Weiwei Liu 003; Xingyuan Zhao; Tianlei Hu; Gang Chen 001 (AAAI, 2019)

Discriminative and Correlative Partial Multi-Label Learning. - Haobo Wang 001; Weiwei Liu 003; Yang Zhao 022; Chen Zhang 020; Tianlei Hu; Gang Chen 001 (IJCAI, 2019)

A Hybrid Data Cleaning Framework using Markov Logic Networks. - Yunjun Gao; Congcong Ge; Xiaoye Miao; Haobo Wang 001; Bin Yao 002; Qing Li 001 (CoRR, 2019)

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. - Haobo Wang 001; Chen Chen 043; Weiwei Liu 003; Ke Chen 005; Tianlei Hu; Gang Chen 001 (AAAI, 2020)

Learning From Multi-Dimensional Partial Labels. - Haobo Wang 001; Weiwei Liu 003; Yang Zhao 022; Tianlei Hu; Ke Chen 005; Gang Chen 001 (IJCAI, 2020)

Collaboration Based Multi-Label Propagation for Fraud Detection. - Haobo Wang 001; Zhao Li 007; Jiaming Huang; Pengrui Hui; Weiwei Liu 003; Tianlei Hu; Gang Chen 001 (IJCAI, 2020)

Online Partial Label Learning. - Haobo Wang 001; Yuzhou Qiang; Chen Chen 043; Weiwei Liu 003; Tianlei Hu; Zhao Li 007; Gang Chen 001 (ECML/PKDD (2), 2020)

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation. - Zhao Li 007; Haobo Wang 001; Donghui Ding; Shichang Hu; Zhen Zhang 023; Weiwei Liu 003; Jianliang Gao; Zhiqiang Zhang 010; Ji Zhang 001 (Complex., 2020)

A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract). - Congcong Ge; Yunjun Gao; Xiaoye Miao; Bin Yao 002; Haobo Wang 001 (ICDE, 2021)

Dual Enhancement for Multi-Label Learning with Missing Labels. - Shengyuan Liu; Haobo Wang 001; Tianlei Hu; Ke Chen 005 (MLMI, 2021)

Large-scale online multi-view graph neural network and applications. - Zhao Li 007; Yuying Xing; Jiaming Huang; Haobo Wang 001; Jianliang Gao; Guoxian Yu (Future Gener. Comput. Syst., 2021)

PiCO: Contrastive Label Disambiguation for Partial Label Learning. - Haobo Wang 001; Ruixuan Xiao; Yixuan Li 001; Lei Feng 006; Gang Niu 001; Gang Chen 001; Junbo Zhao 002 (ICLR, 2022)

Multi-label Learning with Data Self-augmentation. - Yuhang Ge; Xuegang Hu; Peipei Li 001; Haobo Wang 001; Junbo Zhao 002; Junlong Li (ICONIP (4), 2022)

Less-forgetting Multi-lingual Fine-tuning. - Yuren Mao; Yaobo Liang; Nan Duan; Haobo Wang 001; Kai Wang; Lu Chen 001; Yunjun Gao (NeurIPS, 2022)

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning. - Haobo Wang 001; Mingxuan Xia; Yixuan Li 001; Yuren Mao; Lei Feng 006; Gang Chen 001; Junbo Zhao 002 (NeurIPS, 2022)

ProMix: Combating Label Noise via Maximizing Clean Sample Utility. - Haobo Wang 001; Ruixuan Xiao; Yiwen Dong 003; Lei Feng 006; Junbo Zhao 002 (CoRR, 2022)

The Emerging Trends of Multi-Label Learning. - Weiwei Liu 003; Haobo Wang 001; Xiaobo Shen 001; Ivor W. Tsang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

A Hybrid Data Cleaning Framework Using Markov Logic Networks. - Congcong Ge; Yunjun Gao; Xiaoye Miao; Bin Yao 002; Haobo Wang 001 (IEEE Trans. Knowl. Data Eng., 2022)

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. - Senlin Shu; Shuo He 001; Haobo Wang 001; Hongxin Wei; Tao Xiang 001; Lei Feng 006 (AAAI, 2023)

Revisiting the Knowledge Injection Frameworks. - Peng Fu; Yiming Zhang 023; Haobo Wang 001; Weikang Qiu; Junbo Zhao 002 (EMNLP, 2023)

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. - Ruixuan Xiao; Yiwen Dong 003; Junbo Zhao 002; Runze Wu 001; Minmin Lin; Gang Chen 001; Haobo Wang 001 (EMNLP, 2023)

iDAG: Invariant DAG Searching for Domain Generalization. - Zenan Huang; Haobo Wang 001; Junbo Zhao 002; Nenggan Zheng (ICCV, 2023)

CAME: Contrastive Automated Model Evaluation. - Ru Peng; Qiuyang Duan; Haobo Wang 001; Jiachen Ma 005; Yanbo Jiang; Yongjun Tu; Xiu Jiang; Junbo Zhao 002 (ICCV, 2023)

Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. - Liyao Li; Haobo Wang 001; Liangyu Zha; Qingyi Huang; Sai Wu; Gang Chen 001; Junbo Zhao 002 (ICLR, 2023)

Towards Controlled Data Augmentations for Active Learning. - Jianan Yang; Haobo Wang 001; Sai Wu; Gang Chen 001; Junbo Zhao 002 (ICML, 2023)

Latent Processes Identification From Multi-View Time Series. - Zenan Huang; Haobo Wang 001; Junbo Zhao 002; Nenggan Zheng (IJCAI, 2023)

Deep Partial Multi-Label Learning with Graph Disambiguation. - Haobo Wang 001; Shisong Yang; Gengyu Lyu; Weiwei Liu 003; Tianlei Hu; Ke Chen 005; Songhe Feng; Gang Chen 001 (IJCAI, 2023)

ProMix: Combating Label Noise via Maximizing Clean Sample Utility. - Ruixuan Xiao; Yiwen Dong 003; Haobo Wang 001; Lei Feng 006; Runze Wu 001; Gang Chen 001; Junbo Zhao 002 (IJCAI, 2023)

Regression with Cost-based Rejection. - Xin Cheng 007; Yuzhou Cao; Haobo Wang 001; Hongxin Wei; Bo An 001; Lei Feng 006 (NeurIPS, 2023)

Debiased and Denoised Entity Recognition from Distant Supervision. - Haobo Wang 001; Yiwen Dong 003; Ruixuan Xiao; Fei Huang 002; Gang Chen 001; Junbo Zhao 002 (NeurIPS, 2023)

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation. - Zhiqing Xiao; Haobo Wang 001; Ying Jin; Lei Feng 006; Gang Chen 001; Fei Huang 002; Junbo Zhao 002 (NeurIPS, 2023)

Catch: Collaborative Feature Set Search for Automated Feature Engineering. - Guoshan Lu; Haobo Wang 001; Saisai Yang; Jing Yuan; Guozheng Yang; Cheng Zang; Gang Chen 001; Junbo Zhao 002 (WWW, 2023)

Controllable Textual Inversion for Personalized Text-to-Image Generation. - Jianan Yang; Haobo Wang 001; Ruixuan Xiao; Sai Wu; Gang Chen 001; Junbo Zhao 002 (CoRR, 2023)

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility. - Wentao Ye; Mingfeng Ou; Tianyi Li; Yipeng Chen; Xuetao Ma 002; Yifan Yanggong; Sai Wu; Jie Fu; Gang Chen 001; Haobo Wang 001; Junbo Zhao 002 (CoRR, 2023)

CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training. - Chao Ye; Guoshan Lu; Haobo Wang 001; Liyao Li; Sai Wu; Gang Chen 001; Junbo Zhao 002 (CoRR, 2023)

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT. - Liangyu Zha; Junlin Zhou; Liyao Li; Rui Wang 076; Qingyi Huang; Saisai Yang; Jing Yuan; Changbao Su; Xiang Li 106; Aofeng Su; Tao Zhang; Chen Zhou 001; et al. (CoRR, 2023)

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective. - Renyu Zhu; Haoyu Liu; Runze Wu 001; Minmin Lin; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2023)

Towards Domain-Specific Features Disentanglement for Domain Generalization. - Hao Chen 102; Qi Zhang 077; Zenan Huang; Haobo Wang 001; Junbo Zhao 002 (CoRR, 2023)

Multi-Source Multi-Label Learning for User Profiling in Online Games. - Xiang Wen; Shiwei Zhao; Haobo Wang 001; Runze Wu 001; Manhu Qu; Tianlei Hu; Gang Chen 001; Jianrong Tao; Changjie Fan (IEEE Trans. Multim., 2023)

A Separation and Alignment Framework for Black-Box Domain Adaptation. - Mingxuan Xia; Junbo Zhao 002; Gengyu Lyu; Zenan Huang; Tianlei Hu; Gang Chen 001; Haobo Wang 001 (AAAI, 2024)

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey. - Lin Long; Rui Wang 076; Ruixuan Xiao; Junbo Zhao 002; Xiao Ding; Gang Chen 001; Haobo Wang 001 (ACL (Findings), 2024)

Learning Geometry-Aware Representations for New Intent Discovery. - Kai Tang; Junbo Zhao 002; Xiao Ding; Runze Wu 001; Lei Feng 006; Gang Chen 001; Haobo Wang 001 (ACL (1), 2024)

Data Contamination Calibration for Black-box LLMs. - Wentao Ye; Jiaqi Hu; Liyao Li; Haobo Wang 001; Gang Chen 001; Junbo Zhao 002 (ACL (Findings), 2024)

RECOST: External Knowledge Guided Data-efficient Instruction Tuning. - Qi Zhang 077; Yiming Zhang 023; Haobo Wang 001; Junbo Zhao 002 (ACL (Findings), 2024)

Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models. - Yiming Zhang 023; Hantao Yang; Haobo Wang 001; Jake Zhao (LREC/COLING, 2024)

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. - Lin Long; Haobo Wang 001; Zhijie Jiang; Lei Feng 006; Chang Yao; Gang Chen 001; Junbo Zhao 002 (CVPR, 2024)

Targeted Representation Alignment for Open-World Semi-Supervised Learning. - Ruixuan Xiao; Lei Feng 006; Kai Tang; Junbo Zhao 002; Yixuan Li 001; Gang Chen 001; Haobo Wang 001 (CVPR, 2024)

FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents. - Ruixuan Xiao; Wentao Ma; Ke Wang; Yuchuan Wu; Junbo Zhao 002; Haobo Wang 001; Fei Huang 002; Yongbin Li (EMNLP (Findings), 2024)

Energy-based Automated Model Evaluation. - Ru Peng; Heming Zou; Haobo Wang 001; Yawen Zeng; Zenan Huang; Junbo Zhao 002 (ICLR, 2024)

Unbiased Multi-Label Learning from Crowdsourced Annotations. - Mingxuan Xia; Zenan Huang; Runze Wu 001; Gengyu Lyu; Junbo Zhao 002; Gang Chen 001; Haobo Wang 001 (ICML, 2024)

Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. - Gengyu Lyu; Weiqi Kang; Haobo Wang 001; Zheng Li; Zhen Yang 004; Songhe Feng (IJCAI, 2024)

CoMAL: Contrastive Active Learning for Multi-Label Text Classification. - Cheng Peng 011; Haobo Wang 001; Ke Chen 005; Lidan Shou; Chang Yao; Runze Wu 001; Gang Chen 001 (KDD, 2024)

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise. - Zhonghao Wang 002; Danyu Sun; Sheng Zhou 004; Haobo Wang 001; Jiapei Fan; Longtao Huang; Jiajun Bu (NeurIPS, 2024)

Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild. - Jianan Yang; Chenchao Gao; Zhiqing Xiao; Junbo Zhao 002; Sai Wu; Gang Chen 001; Haobo Wang 001 (NeurIPS, 2024)

Towards Cross-Table Masked Pretraining for Web Data Mining. - Chao Ye; Guoshan Lu; Haobo Wang 001; Liyao Li; Sai Wu; Gang Chen 001; Junbo Zhao 002 (WWW, 2024)

Debiased Sample Selection for Combating Noisy Labels. - Qi Wei 004; Lei Feng 006; Haobo Wang 001; Bo An 001 (CoRR, 2024)

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond. - Minghao Liu 009; Zonglin Di; Jiaheng Wei; Zhongruo Wang; Hengxiang Zhang; Ruixuan Xiao; Haoyu Wang 001; Jinlong Pang; Hao Chen 102; Ankit Shah 001; Hongxin Wei; Xinlei He 001; et al. (CoRR, 2024)

TableGPT2: A Large Multimodal Model with Tabular Data Integration. - Aofeng Su; Aowen Wang; Chao Ye; Chen Zhou 001; Ga Zhang; Gang Chen 001; Guangcheng Zhu; Haobo Wang 001; Haokai Xu; Hao Chen 102; Haoze Li; Haoxuan Lan; et al. (CoRR, 2024)

Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification. - Cheng Peng 011; Haobo Wang 001; Jue Wang 019; Lidan Shou; Ke Chen 005; Gang Chen 001; Chang Yao (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning. - Haobo Wang 001; Ruixuan Xiao; Yixuan Li 001; Lei Feng 006; Gang Niu 001; Gang Chen 001; Junbo Zhao 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Online binary classification from similar and dissimilar data. - Senlin Shu; Haobo Wang 001; Zhuowei Wang 003; Bo Han 003; Tao Xiang 001; Bo An 001; Lei Feng 006 (Mach. Learn., 2024)

On the Value of Head Labels in Multi-Label Text Classification. - Haobo Wang 001; Cheng Peng 011; Hede Dong; Lei Feng 006; Weiwei Liu 003; Tianlei Hu; Ke Chen 005; Gang Chen 001 (ACM Trans. Knowl. Discov. Data, 2024)

CORAL: Collaborative Automatic Labeling System based on Large Language Models. - Zhen Zhu 007; Yibo Wang; Shouqing Yang; Lin Long; Runze Wu 001; Xiu Tang; Junbo Zhao 002; Haobo Wang 001 (Proc. VLDB Endow., 2024)

Multiple-Instance Learning from Pairwise Comparison Bags. - Shengjie Zhou; Senlin Shu; Haobo Wang 001; Hongxin Wei; Tao Xiang 001; Beibei Li 001 (ACM Trans. Intell. Syst. Technol., 2024)

RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis. - Pengzuo Wu; Yuhang Yang; Guangcheng Zhu; Chao Ye; Hong Gu; Xu Lu; Ruixuan Xiao; Bowen Bao; Yijing He; Liangyu Zha; Wentao Ye; Junbo Zhao 002; et al. (ACL (Findings), 2025)

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary. - Yuena Lin; Yiyuan Wang; Gengyu Lyu; Yongjian Deng; Haichun Cai; Huibin Lin; Haobo Wang 001; Zhen Yang 004 (ICLR, 2025)

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL. - Lin Long; Xijun Gu; Xinjie Sun; Wentao Ye; Haobo Wang 001; Sai Wu; Gang Chen 001; Junbo Zhao 002 (ICLR, 2025)

AsyCo: an asymmetric dual-task co-training model for partial-label learning. - Beibei Li 001; Yiyuan Zheng; Beihong Jin; Tao Xiang 001; Haobo Wang 001; Lei Feng 006 (Sci. China Inf. Sci., 2025)

Towards Robust Incremental Learning under Ambiguous Supervision. - Rui Wang 076; Mingxuan Xia; Chang Yao; Lei Feng 006; Junbo Zhao 002; Gang Chen 001; Haobo Wang 001 (CoRR, 2025)

Shift guided active learning. - Jianan Yang; Jimin Tan; Haobo Wang 001; Gang Chen 001; Sai Wu; Junbo Zhao 002 (Mach. Learn., 2025)

Category-free Out-of-Distribution Node Detection with Feature Resonance. - Shenzhi Yang; Junbo Zhao 002; Shouqing Yang; Yixuan Li 001; Dingyu Yang; Xiaofang Zhang; Haobo Wang 001 (CoRR, 2025)

How to Steer LLM Latents for Hallucination Detection? - Seongheon Park; Xuefeng Du; Min-Hsuan Yeh; Haobo Wang 001; Yixuan Li 001 (CoRR, 2025)

CaCOM: customizing text-to-image diffusion models in the wild via continual active selection. - Jianan Yang; Yanming Zhang; Haobo Wang 001; Gang Chen 001; Sai Wu; Junbo Zhao 002 (Mach. Learn., 2025)

Adaptive Thinking via Mode Policy Optimization for Social Language Agents. - Minzheng Wang 001; Yongbin Li; Haobo Wang 001; Xinghua Zhang 001; Nan Xu; Bingli Wu; Fei Huang 002; Haiyang Yu 003; Wenji Mao (CoRR, 2025)

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization. - Qi Zhang 077; Shouqing Yang; Lirong Gao; Hao Chen 102; Xiaomeng Hu; Jinglei Chen; Jiexiang Wang; Sheng Guo; Bo Zheng; Haobo Wang 001; Junbo Zhao 002 (CoRR, 2025)

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts. - Xinyi Wang; Lirong Gao; Haobo Wang 001; Yiming Zhang 023; Junbo Zhao 002 (CoRR, 2025)

The Effects of Data Augmentation on Confidence Estimation for LLMs. - Rui Wang 076; Renyu Zhu; Minmin Lin; Runze Wu 001; Tangjie Lv; Changjie Fan; Haobo Wang 001 (CoRR, 2025)

Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence. - Jiaming Tian; Liyao Li; Wentao Ye; Haobo Wang 001; Lingxin Wang; Lihua Yu; Zujie Ren; Gang Chen 001; Junbo Zhao 002 (CoRR, 2025)