Haobo Wang

137 papers A* 50Journal 72Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Syllogistic Probe: Tracing the Evolution of Logic Reasoning in Large Language Models.
CoRR
Zhengqing Zang, Yuqi Ding, Yanmei Gu, Changkai Song, Zhengkai Yang, Guoping Du, Junbo Zhao, Haobo Wang
2026 A* conf
An Invariant Latent Space Perspective on Language Model Inversion.
AAAI
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2026 A* conf
Dual Graph Disambiguation for Multi-Instance Partial-Label Learning.
AAAI
Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun
2026 J jnl
FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning.
CoRR
Ziquan Wang, Haobo Wang, Ke Chen, Lei Feng, Gang Chen
2026 A* conf
Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis.
AAAI
Kai Tang, Yixuan Tang, Tianyi Chen, Haokai Xu, Qiqi Luo, Jin Guang Zheng, Zhixin Zhang, Gang Chen, Haobo Wang
2026 J jnl
Harnessing Reasoning Trajectories for Hallucination Detection via Answer-agreement Representation Shaping.
CoRR
Jianxiong Zhang, Bing Guo, Yuming Jiang, Haobo Wang, Bo An, Xuefeng Du
2026 J jnl
LADA: Label Disambiguation and Domain-Aware Learning for Domain Generalization.
Mach. Learn.
Zhiqing Xiao, Haobo Wang, Yali Ye, Wentao Ye, Hao Chen, Gang Chen, Junbo Zhao, Rex Ying
2026 A* conf
Reinforcement Learning with Verbalized Probabilities for LLM Classification.
WWW
Liyao Li, Hao Chen, Jiaming Tian, Wentao Ye, Lirong Gao, Chao Ye, Ningtao Wang, Xing Fu, Yu Cheng, Haobo Wang, Gang Chen, Junbo Zhao
2026 J jnl
Semantic Web-Based Latent Alignment and Label Propagation Model for Multi-Label Learning with Missing Labels.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Xiang Wen, Yuhang Yang, Haobo Wang, Ke Chen, Tianlei Hu, Gang Chen
2026 J jnl
Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty.
CoRR
Zewei Yu, Lirong Gao, Yuke Zhu, Bo Zheng, Junbo Zhao, Sheng Guo, Haobo Wang
2026 J jnl
Supervised Fine-Tuning Needs to Unlock the Potential of Token Priority.
CoRR
Zhanming Shen, Zeyu Qin, Jiaqi Hu, Wentao Ye, Hao Chen, Xiaomeng Hu, Haokai Xu, Gang Chen, Yi R. Fung, Haobo Wang
2026 J jnl
Toward real-world Table Agents: capabilities, workflows, and design principles for LLM-based table intelligence.
World Wide Web (WWW)
Jiaming Tian, Liyao Li, Wentao Ye, Haobo Wang, Lingxin Wang, Lihua Yu, Zujie Ren, Gang Chen, Junbo Zhao
2026 J jnl
W2S: Weak-to-Strong Prompt Correction for Large Language Models.
Mach. Learn.
Lirong Gao, Xinyi Wang, Hao Chen, Ru Peng, Qi Zhang, Yiming Zhang, Wentao Ye, Haoze Li, Haobo Wang, Junbo Zhao
2025 A* conf
A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution.
IJCAI
Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang
2025 J jnl
Adaptive Thinking via Mode Policy Optimization for Social Language Agents.
CoRR
Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao
2025 J jnl
An Invariant Latent Space Perspective on Language Model Inversion.
CoRR
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2025 J jnl
AsyCo: an asymmetric dual-task co-training model for partial-label learning.
Sci. China Inf. Sci.
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
2025 A* conf
Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL.
ICLR
Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao
2025 A* conf
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.
EMNLP
Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao
2025 J jnl
CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency.
CoRR
Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao
2025 J jnl
CaCOM: customizing text-to-image diffusion models in the wild via continual active selection.
Mach. Learn.
Jianan Yang, Yanming Zhang, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao
2025 J jnl
Category-free Out-of-Distribution Node Detection with Feature Resonance.
CoRR
Shenzhi Yang, Junbo Zhao, Shouqing Yang, Yixuan Li, Dingyu Yang, Xiaofang Zhang, Haobo Wang
2025 J jnl
CoLA: Model Collaboration for Log-based Anomaly Detection.
Proc. VLDB Endow.
Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, Chang Yao, Quanqing Xu, Gang Chen
2025 — conf
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System.
EMNLP (System Demonstrations)
Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang
2025 J jnl
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System.
CoRR
Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang
2025 A* conf
Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary.
ICLR
Yuena Lin, Yiyuan Wang, Gengyu Lyu, Yongjian Deng, Haichun Cai, Huibin Lin, Haobo Wang, Zhen Yang
2025 A* conf
Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models.
EMNLP
Mingxuan Xia, Zhijie Jiang, Haobo Wang, Junbo Zhao, Tianlei Hu, Gang Chen
2025 J jnl
FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts.
CoRR
Xinyi Wang, Lirong Gao, Haobo Wang, Yiming Zhang, Junbo Zhao
2025 J jnl
GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning.
Frontiers Inf. Technol. Electron. Eng.
Xiang Wen, Haobo Wang, Ke Chen, Tianlei Hu, Gang Chen
2025 J jnl
How to Steer LLM Latents for Hallucination Detection?
CoRR
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li
2025 — conf
Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition.
ACL (1)
Guangcheng Zhu, Ruixuan Xiao, Haobo Wang, Zhen Zhu, Gengyu Lyu, Junbo Zhao
2025 A* conf
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
EMNLP
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao
2025 J jnl
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization.
CoRR
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang, Junbo Zhao
2025 — conf
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains.
EMNLP (Findings)
Liyao Li, Jiaming Tian, Hao Chen, Wentao Ye, Chao Ye, Haobo Wang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao
2025 A* conf
Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries.
ICML
Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu
2025 A* conf
Multi-Instance Multi-Label Classification from Crowdsourced Labels.
AAAI
Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu, Tianlei Hu, Haobo Wang
2025 — conf
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
ACL (1)
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 J jnl
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation.
CoRR
Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu
2025 — conf
RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis.
ACL (Findings)
Pengzuo Wu, Yuhang Yang, Guangcheng Zhu, Chao Ye, Hong Gu, Xu Lu, Ruixuan Xiao, Bowen Bao, Yijing He, Liangyu Zha, Wentao Ye, Junbo Zhao, Haobo Wang
2025 J jnl
RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis.
CoRR
Pengzuo Wu, Yuhang Yang, Guangcheng Zhu, Chao Ye, Hong Gu, Xu Lu, Ruixuan Xiao, Bowen Bao, Yijing He, Liangyu Zha, Wentao Ye, Junbo Zhao, Haobo Wang
2025 A* conf
Representation Surgery in Model Merging with Probabilistic Modeling.
ICML
Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An
2025 J jnl
SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation.
CoRR
Zhiqing Xiao, Haobo Wang, Xu Lu, Wentao Ye, Gang Chen, Junbo Zhao
2025 J jnl
Shift guided active learning.
Mach. Learn.
Jianan Yang, Jimin Tan, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao
2025 J jnl
Simplified Graph Contrastive Learning Model Without Augmentation.
IEEE Trans. Knowl. Data Eng.
Yue-Na Lin, Gengyu Lyu, Hai-Chun Cai, Deng-Bao Wang, Haobo Wang, Zhen Yang
2025 A* conf
Steer LLM Latents for Hallucination Detection.
ICML
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li
2025 J jnl
Table as a Modality for Large Language Models.
CoRR
Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao
2025 J jnl
TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning.
CoRR
Saisai Yang, Qingyi Huang, Jing Yuan, Liangyu Zha, Kai Tang, Yuhang Yang, Ning Wang, Yucheng Wei, Liyao Li, Wentao Ye, Hao Chen, Tao Zhang, Junlin Zhou, Haobo Wang, Gang Chen, Junbo Zhao
2025 A* conf
Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank.
ICML
Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu
2025 J jnl
The Effects of Data Augmentation on Confidence Estimation for LLMs.
CoRR
Rui Wang, Renyu Zhu, Minmin Lin, Runze Wu, Tangjie Lv, Changjie Fan, Haobo Wang
2025 J jnl
Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence.
CoRR
Jiaming Tian, Liyao Li, Wentao Ye, Haobo Wang, Lingxin Wang, Lihua Yu, Zujie Ren, Gang Chen, Junbo Zhao
2025 — conf
Towards Reverse Engineering of Language Models: A Survey.
EMNLP (Findings)
Xinpeng Ti, Wentao Ye, Zhifang Zhang, Junbo Zhao, Chang Yao, Lei Feng, Haobo Wang
2025 A* conf
Towards Robust Incremental Learning Under Ambiguous Supervision.
IJCAI
Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao
2025 J jnl
Towards Robust Incremental Learning under Ambiguous Supervision.
CoRR
Rui Wang, Mingxuan Xia, Chang Yao, Lei Feng, Junbo Zhao, Gang Chen, Haobo Wang
2025 A* conf
Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications.
EMNLP
Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang
2025 J jnl
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning.
CoRR
Shenzhi Yang, Guangcheng Zhu, Xing Zheng, Yingfan Ma, Zhongqi Chen, Bowen Song, Weiqiang Wang, Junbo Zhao, Gang Chen, Haobo Wang
2024 A* conf
A Separation and Alignment Framework for Black-Box Domain Adaptation.
AAAI
Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang
2024 J jnl
AsyCo: An Asymmetric Dual-task Co-training Model for Partial-label Learning.
CoRR
Beibei Li, Yiyuan Zheng, Beihong Jin, Tao Xiang, Haobo Wang, Lei Feng
2024 J jnl
Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond.
CoRR
Minghao Liu, Zonglin Di, Jiaheng Wei, Zhongruo Wang, Hengxiang Zhang, Ruixuan Xiao, Haoyu Wang, Jinlong Pang, Hao Chen, Ankit Shah, Hongxin Wei, Xinlei He, Zhaowei Zhao, Haobo Wang, Lei Feng, Jindong Wang, James Davis, Yang Liu
2024 J jnl
CORAL: Collaborative Automatic Labeling System based on Large Language Models.
Proc. VLDB Endow.
Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang
2024 A* conf
CoMAL: Contrastive Active Learning for Multi-Label Text Classification.
KDD
Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen
2024 A* conf
Common-Individual Semantic Fusion for Multi-View Multi-Label Learning.
IJCAI
Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng
2024 — conf
Data Contamination Calibration for Black-box LLMs.
ACL (Findings)
Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
2024 J jnl
Data Contamination Calibration for Black-box LLMs.
CoRR
Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao
2024 J jnl
Debiased Sample Selection for Combating Noisy Labels.
CoRR
Qi Wei, Lei Feng, Haobo Wang, Bo An
2024 A* conf
Energy-based Automated Model Evaluation.
ICLR
Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
2024 J jnl
Energy-based Automated Model Evaluation.
CoRR
Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao
2024 — conf
Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models.
LREC/COLING
Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao
2024 — conf
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.
EMNLP (Findings)
Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li
2024 J jnl
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents.
CoRR
Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang, Fei Huang, Yongbin Li
2024 — conf
Learning Geometry-Aware Representations for New Intent Discovery.
ACL (1)
Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang
2024 J jnl
Learning Label-Adaptive Representation for Large-Scale Multi-Label Text Classification.
IEEE ACM Trans. Audio Speech Lang. Process.
Cheng Peng, Haobo Wang, Jue Wang, Lidan Shou, Ke Chen, Gang Chen, Chang Yao
2024 A* conf
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild.
NeurIPS
Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang
2024 J jnl
Multiple-Instance Learning from Pairwise Comparison Bags.
ACM Trans. Intell. Syst. Technol.
Shengjie Zhou, Senlin Shu, Haobo Wang, Hongxin Wei, Tao Xiang, Beibei Li
2024 A* conf
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise.
NeurIPS
Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
2024 J jnl
NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise.
CoRR
Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan, Longtao Huang, Jiajun Bu
2024 — conf
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.
ACL (Findings)
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
2024 J jnl
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.
CoRR
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang
2024 J jnl
On the Value of Head Labels in Multi-Label Text Classification.
ACM Trans. Knowl. Discov. Data
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen
2024 J jnl
Online binary classification from similar and dissimilar data.
Mach. Learn.
Senlin Shu, Haobo Wang, Zhuowei Wang, Bo Han, Tao Xiang, Bo An, Lei Feng
2024 J jnl
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2024 A* conf
Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation.
CVPR
Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao
2024 — conf
RECOST: External Knowledge Guided Data-efficient Instruction Tuning.
ACL (Findings)
Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao
2024 J jnl
RECOST: External Knowledge Guided Data-efficient Instruction Tuning.
CoRR
Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao
2024 J jnl
TableGPT2: A Large Multimodal Model with Tabular Data Integration.
CoRR
Aofeng Su, Aowen Wang, Chao Ye, Chen Zhou, Ga Zhang, Gang Chen, Guangcheng Zhu, Haobo Wang, Haokai Xu, Hao Chen, Haoze Li, Haoxuan Lan, Jiaming Tian, Jing Yuan, Junbo Zhao, Junlin Zhou, Kaizhe Shou, Liangyu Zha, Lin Long, Liyao Li, Pengzuo Wu, Qi Zhang, Qingyi Huang, Saisai Yang, Tao Zhang, Wentao Ye, Wufang Zhu, Xiaomeng Hu, Xijun Gu, Xinjie Sun, Xiang Li, Yuhang Yang, Zhiqing Xiao
2024 A* conf
Targeted Representation Alignment for Open-World Semi-Supervised Learning.
CVPR
Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang
2024 A* conf
Towards Cross-Table Masked Pretraining for Web Data Mining.
WWW
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao
2024 A* conf
Unbiased Multi-Label Learning from Crowdsourced Annotations.
ICML
Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang
2023 A* conf
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
AAAI
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023 J jnl
A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.
CoRR
Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng
2023 J jnl
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility.
CoRR
Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng Chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao
2023 A* conf
CAME: Contrastive Automated Model Evaluation.
ICCV
Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao
2023 J jnl
CAME: Contrastive Automated Model Evaluation.
CoRR
Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao
2023 J jnl
CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training.
CoRR
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao
2023 A* conf
Catch: Collaborative Feature Set Search for Automated Feature Engineering.
WWW
Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao
2023 J jnl
Controllable Textual Inversion for Personalized Text-to-Image Generation.
CoRR
Jianan Yang, Haobo Wang, Ruixuan Xiao, Sai Wu, Gang Chen, Junbo Zhao
2023 A* conf
Debiased and Denoised Entity Recognition from Distant Supervision.
NeurIPS
Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao
2023 A* conf
Deep Partial Multi-Label Learning with Graph Disambiguation.
IJCAI
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023 J jnl
Deep Partial Multi-Label Learning with Graph Disambiguation.
CoRR
Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen
2023 A* conf
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.
EMNLP
Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang
2023 J jnl
FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.
CoRR
Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang
2023 A* conf
Latent Processes Identification From Multi-View Time Series.
IJCAI
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
2023 J jnl
Latent Processes Identification From Multi-View Time Series.
CoRR
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
2023 A* conf
Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering.
ICLR
Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao
2023 J jnl
Multi-Source Multi-Label Learning for User Profiling in Online Games.
IEEE Trans. Multim.
Xiang Wen, Shiwei Zhao, Haobo Wang, Runze Wu, Manhu Qu, Tianlei Hu, Gang Chen, Jianrong Tao, Changjie Fan
2023 A* conf
ProMix: Combating Label Noise via Maximizing Clean Sample Utility.
IJCAI
Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao
2023 A* conf
Regression with Cost-based Rejection.
NeurIPS
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023 J jnl
Regression with Cost-based Rejection.
CoRR
Xin Cheng, Yuzhou Cao, Haobo Wang, Hongxin Wei, Bo An, Lei Feng
2023 J jnl
Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.
CoRR
Renyu Zhu, Haoyu Liu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Haobo Wang
2023 A* conf
Revisiting the Knowledge Injection Frameworks.
EMNLP
Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao
2023 J jnl
Revisiting the Knowledge Injection Frameworks.
CoRR
Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao
2023 A* conf
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.
NeurIPS
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
2023 J jnl
SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.
CoRR
Zhiqing Xiao, Haobo Wang, Ying Jin, Lei Feng, Gang Chen, Fei Huang, Junbo Zhao
2023 J jnl
TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.
CoRR
Liangyu Zha, Junlin Zhou, Liyao Li, Rui Wang, Qingyi Huang, Saisai Yang, Jing Yuan, Changbao Su, Xiang Li, Aofeng Su, Tao Zhang, Chen Zhou, Kaizhe Shou, Miao Wang, Wufang Zhu, Guoshan Lu, Chao Ye, Yali Ye, Wentao Ye, Yiming Zhang, Xinglong Deng, Jie Xu, Haobo Wang, Gang Chen, Junbo Zhao
2023 A* conf
Towards Controlled Data Augmentations for Active Learning.
ICML
Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao
2023 J jnl
Towards Domain-Specific Features Disentanglement for Domain Generalization.
CoRR
Hao Chen, Qi Zhang, Zenan Huang, Haobo Wang, Junbo Zhao
2023 A* conf
iDAG: Invariant DAG Searching for Domain Generalization.
ICCV
Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng
2022 J jnl
A Hybrid Data Cleaning Framework Using Markov Logic Networks.
IEEE Trans. Knowl. Data Eng.
Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang
2022 A* conf
Less-forgetting Multi-lingual Fine-tuning.
NeurIPS
Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao
2022 — conf
Multi-label Learning with Data Self-augmentation.
ICONIP (4)
Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li
2022 A* conf
PiCO: Contrastive Label Disambiguation for Partial Label Learning.
ICLR
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2022 J jnl
PiCO: Contrastive Label Disambiguation for Partial Label Learning.
CoRR
Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao
2022 J jnl
ProMix: Combating Label Noise via Maximizing Clean Sample Utility.
CoRR
Haobo Wang, Ruixuan Xiao, Yiwen Dong, Lei Feng, Junbo Zhao
2022 A* conf
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.
NeurIPS
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
2022 J jnl
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.
CoRR
Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao
2022 J jnl
The Emerging Trends of Multi-Label Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Weiwei Liu, Haobo Wang, Xiaobo Shen, Ivor W. Tsang
2021 A* conf
A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract).
ICDE
Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang
2021 — conf
Dual Enhancement for Multi-Label Learning with Missing Labels.
MLMI
Shengyuan Liu, Haobo Wang, Tianlei Hu, Ke Chen
2021 J jnl
Large-scale online multi-view graph neural network and applications.
Future Gener. Comput. Syst.
Zhao Li, Yuying Xing, Jiaming Huang, Haobo Wang, Jianliang Gao, Guoxian Yu
2020 A* conf
Collaboration Based Multi-Label Propagation for Fraud Detection.
IJCAI
Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen
2020 J jnl
Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.
Complex.
Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang
2020 A* conf
Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification.
AAAI
Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen
2020 A* conf
Learning From Multi-Dimensional Partial Labels.
IJCAI
Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen
2020 — conf
Online Partial Label Learning.
ECML/PKDD (2)
Haobo Wang, Yuzhou Qiang, Chen Chen, Weiwei Liu, Tianlei Hu, Zhao Li, Gang Chen
2020 J jnl
The Emerging Trends of Multi-Label Learning.
CoRR
Weiwei Liu, Xiaobo Shen, Haobo Wang, Ivor W. Tsang
2019 J jnl
A Hybrid Data Cleaning Framework using Markov Logic Networks.
CoRR
Yunjun Gao, Congcong Ge, Xiaoye Miao, Haobo Wang, Bin Yao, Qing Li
2019 A* conf
Discriminative and Correlative Partial Multi-Label Learning.
IJCAI
Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen
2019 A* conf
Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification.
AAAI
Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen