SCIS 2026
DataXman: Selecting and Mixing Pretraining Data via Bilingual Mixture-of-Experts Data Manager
Ru Peng, Jinyang Zhang, Yawen Zeng, et al., Haobo Wang*, et al.
Assistant Professor · PhD Supervisor
Haobo Wang 王皓波
School of Software Technology
Zhejiang University
My research aims to build intelligent systems that learn reliably from imperfect data, reason and act in complex environments, and work effectively with structured knowledge. My current interests include data-centric machine learning, LLM reasoning and agents, and table and structured data intelligence.
Selected publications
Full list* Corresponding author
ICLR 2026
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
Shenzhi Yang, Guangcheng Zhu, Haobo Wang*, et al.
ICLR 2026
Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
Zewei Yu, Lirong Gao, Sheng Guo, et al., Haobo Wang*
KDD 2026
FLaG: Fine-Grained Latent Grouping for Hallucination Detection
Wentao Ye, Liyao Li, Zhiqing Xiao, et al., Haobo Wang*
ICML 2026
Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
Xing Xi, Liyao Li, Hao Chen, et al., Haobo Wang*
ACL 2026
Everyone is Unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems
Yuhang Yang, Kai Tang, Chao Ye, Haobo Wang*, et al.
ACL Findings 2026
FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis
Shouqing Yang, Qi Zhang, Yuhang Yang, et al., Haobo Wang*, et al.
AAAI 2026
An Invariant Latent Space Perspective on Language Model Inversion
Wentao Ye, Jiaqi Hu, Haobo Wang*, et al.
NeurIPS 2025
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li, et al., Haobo Wang*
NeurIPS 2025
Table as a Modality for Large Language Models
Liyao Li, Chao Ye, Wentao Ye, et al., Haobo Wang, et al.
EMNLP 2025
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization
Qi Zhang, Shouqing Yang, Lirong Gao, et al., Haobo Wang*, et al.
EMNLP Findings 2025
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
Liyao Li, Jiaming Tian, Hao Chen, et al., Haobo Wang, et al.
EMNLP Demo 2025
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
Maosheng Qin, Renyu Zhu, Mingxuan Xia, et al., Haobo Wang*
ACL 2025
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
Mingxuan Xia, Haobo Wang*, Sharon Li, et al.
ACL Findings 2025
RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis
Pengzuo Wu, Yuhang Yang, Guangcheng Zhu, et al., Haobo Wang*
VLDB 2025
CoLA: Model Collaboration for Log-based Anomaly Detection
Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, et al.
Best of VLDB JournalICML 2025
How to Steer LLM Latents for Hallucination Detection?
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Sharon Li
AAAI 2025
Multi-Instance Multi-Label Classification from Crowdsourced Labels
Ziquan Wang, Mingxuan Xia, Xiangyu Ren, et al., Haobo Wang*
ICLR 2025
Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL
Lin Long, Xijun Gu, Xinjie Sun, et al., Haobo Wang, et al.
NeurIPS 2024
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
Jianan Yang, Chenchao Gao, Zhiqing Xiao, Haobo Wang*, et al.
ACL 2024
Learning Geometry-Aware Representations for New Intent Discovery
Kai Tang, Junbo Zhao, Xiao Ding, et al., Haobo Wang*
ACL Findings 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long, Rui Wang, Ruixuan Xiao, et al., Haobo Wang*
EMNLP Findings 2024
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
Ruixuan Xiao, Wentao Ma, Ke Wang, et al., Haobo Wang*, et al.
KDD 2024
CoMAL: Contrastive Active Learning for Multi-Label Text Classification
Cheng Peng, Haobo Wang*, et al.
ICML 2024
Unbiased Multi-Label Learning from Crowdsourced Annotations
Mingxuan Xia, Zenan Huang, Runze Wu, et al., Haobo Wang*
CVPR 2024
Targeted Representation Alignment for Open-World Semi-Supervised Learning
Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Sharon Li, et al., Haobo Wang*
AAAI 2024
A Separation and Alignment Framework for Black-box Domain Adaptation
Mingxuan Xia, Junbo Zhao, Gengyu Lyu, et al., Haobo Wang*
WWW 2024
Towards Cross-Table Masked Pretraining for Web Data Mining
Chao Ye, Guoshan Lu, Haobo Wang, et al.
TPAMI 2024
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
Haobo Wang, Ruixuan Xiao, Sharon Li, et al.
TKDD 2024
On the Value of Head Labels in Multi-Label Text Classification
Haobo Wang, Cheng Peng, Hede Dong, et al.
VLDB Demo 2024
CORAL: Collaborative Automatic Labeling System based on Large Language Models
Zhen Zhu, Yibo Wang, Shouqing Yang, et al., Haobo Wang*
NeurIPS 2023
Debiased and Denoised Entity Recognition from Distant Supervision
Haobo Wang, Yiwen Dong, Ruixuan Xiao, et al.
IJCAI 2023
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Ruixuan Xiao, Yiwen Dong, Haobo Wang*, et al.
1st Place, Learning and Mining with Noisy Labels ChallengeNeurIPS 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang, Mingxuan Xia, Sharon Li, et al.
ICLR 2022
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Haobo Wang, Ruixuan Xiao, Sharon Li, et al.
Outstanding Paper Award Honorable MentionNeurIPS 2026
Smart Picks in the Dark: Towards Efficient RLVR for Reasoning via Tracing Metacognitive Pivots
Guangcheng Zhu, Shenzhi Yang, Haobo Wang*, Xing Zheng, Yingfan Ma, Xuening Feng, Zhongqi Chen, Bowen Song, Weiqiang Wang, Gang Chen.
ICLR 2026
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
Shenzhi Yang, Guangcheng Zhu, Haobo Wang*, Xing Zheng, Yingfan Ma, Zhongqi Chen, Bowen Song, Weiqiang Wang, Junbo Zhao, Gang Chen.
ICLR 2026
Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty
Zewei Yu, Lirong Gao, Sheng Guo, Yuke Zhu, Bo Zheng, Junbo Zhao, Haobo Wang*.
ICML 2026
Awakening Visual Reasoning: Mitigating Post-Training Failure in Vision-Text Compression
Xing Xi, Liyao Li, Hao Chen, Ningtao Wang, Peixian Chen, Peilin Tong, Xing Fu, Yu Cheng, Haobo Wang*, Gang Chen, Junbo Zhao, Ronghua Luo.
KDD 2026
FLaG: Fine-Grained Latent Grouping for Hallucination Detection
Wentao Ye, Liyao Li, Zhiqing Xiao, Muzhi Zhu, Jiaqi Hu, Zhanming Shen, Xiaomeng Hu, Sean Du, Haobo Wang*.
ACL 2026
Everyone is Unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems
Yuhang Yang, Kai Tang, Chao Ye, Haobo Wang*, Qiqi Luo, Jin Guang Zheng, Zhixin Zhang.
ACL Findings 2026
FinMRAGBench: A Realistic and Complex Benchmark for Multi-Modal RAG in Financial Document Analysis
Shouqing Yang, Qi Zhang, Yuhang Yang, Ruikang Xu, Yuwei Hou, Zhulin Jia, Lirong Gao, Haobo Wang*, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Gang Chen.
EMNLP 2026
PROBE: Prospective Retrieval with Oracle-Based End-Goal Distillation for Multi-Hop Question Answering
Xu Lu, Zhengqing Zang, Binhui Yao, Luwei Yang, Ruimin Chen, Zeng Wang, Haobo Wang*.
EMNLP 2026
DeltaMem: Towards Agentic Memory Management via Reinforcement Learning
Qi Zhang, Shen Huang, Liuchu, Shouqing Yang, Xiaomeng Hu, Pengjun Xie, Haobo Wang, Junbo Zhao.
EMNLP Findings 2026
SkillComposer: Learning to Evolve Agent Skills for Specification and Generalization
Qi Zhang, Zhaopeng Feng, Xiaonan Shi, Xiaomeng Hu, Liuchu, Pengjun Xie, Xiaobin Wang, Bryan Hooi, Haobo Wang, Junbo Zhao.
AAAI 2026
An Invariant Latent Space Perspective on Language Model Inversion
Wentao Ye, Jiaqi Hu, Haobo Wang*, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao.
SCIS 2026
DataXman: Selecting and Mixing Pretraining Data via Bilingual Mixture-of-Experts Data Manager
Ru Peng, Jinyang Zhang, Yawen Zeng, Kexin Yang, Junyang Lin, Haobo Wang*, Gang Chen, Jingren Zhou, Dayiheng Liu, Junbo Zhao.
NeurIPS 2025
Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
Shenzhi Yang, Junbo Zhao, Sharon Li, Shouqing Yang, Dingyu Yang, Xiaofang Zhang, Haobo Wang*.
NeurIPS 2025
Table as a Modality for Large Language Models
Liyao Li, Chao Ye, Wentao Ye, Yifei Sun, Zhe Jiang, Haobo Wang, Jiaming Tian, Yiming Zhang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao.
EMNLP 2025
LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization
Qi Zhang, Shouqing Yang, Lirong Gao, Hao Chen, Xiaomeng Hu, Jinglei Chen, Jiexiang Wang, Sheng Guo, Bo Zheng, Haobo Wang*, Junbo Zhao.
EMNLP Findings 2025
LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains
Liyao Li, Jiaming Tian, Hao Chen, Wentao Ye, Chao Ye, Haobo Wang, Ningtao Wang, Xing Fu, Gang Chen, Junbo Zhao.
EMNLP Demo 2025
CrowdAgent: Multi-Agent Managed Multi-Source Annotation System
Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenchenkai, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang*.
ACL 2025
Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
Mingxuan Xia, Haobo Wang*, Sharon Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu.
ACL Findings 2025
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, Haobo Wang*.
VLDB 2025
CoLA: Model Collaboration for Log-based Anomaly Detection
Xuhang Zhu, Xiu Tang, Sai Wu, Jichen Li, Haobo Wang, Chang Yao, Quanqing Xu, Gang Chen.
Best of VLDB JournalICML 2025
How to Steer LLM Latents for Hallucination Detection?
Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Sharon Li.
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, Sai Wu, Gang Chen, Junbo Zhao.
NeurIPS 2024
Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild
Jianan Yang, Chenchao Gao, Zhiqing Xiao, Haobo Wang*, Sai Wu, Gang Chen, Junbo Zhao.
ACL Findings 2024
On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey
Lin Long, Rui Wang, Ruixuan Xiao, Junbo Zhao, Xiao Ding, Gang Chen, Haobo Wang*.
EMNLP Findings 2024
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
Ruixuan Xiao, Wentao Ma, Ke Wang, Yuchuan Wu, Junbo Zhao, Haobo Wang*, Fei Huang, Yongbin Li.
CVPR 2024
Targeted Representation Alignment for Open-World Semi-Supervised Learning
Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Sharon Li, Gang Chen, Haobo Wang*.
WWW 2024
Towards Cross-Table Masked Pretraining for Web Data Mining
Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao.
TPAMI 2024
PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning
Haobo Wang, Ruixuan Xiao, Sharon Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao.
TKDD 2024
On the Value of Head Labels in Multi-Label Text Classification
Haobo Wang, Cheng Peng, Hede Dong, Lei Feng, Weiwei Liu, Tianlei Hu, Ke Chen, Gang Chen.
VLDB Demo 2024
CORAL: Collaborative Automatic Labeling System based on Large Language Models
Zhen Zhu, Yibo Wang, Shouqing Yang, Lin Long, Runze Wu, Xiu Tang, Junbo Zhao, Haobo Wang*.
NeurIPS 2023
Debiased and Denoised Entity Recognition from Distant Supervision
Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao.
IJCAI 2023
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Ruixuan Xiao, Yiwen Dong, Haobo Wang*, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao.
(Ranked 1st (all tasks) in the Learning and Mining with Noisy Labels Challenge in IJCAI 2022)NeurIPS 2022
SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning
Haobo Wang, Mingxuan Xia, Sharon Li, Yuren Mao, Lei Feng, Gang Chen, Junbo Zhao.
ICLR 2022
PiCO: Contrastive Label Disambiguation for Partial Label Learning
Haobo Wang, Ruixuan Xiao, Sharon Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao.
(This paper was selected for Outstanding Paper Award Honorable Mention, top 10 in 3391 submissions.)Education
2018–2023
Ph.D. in Artificial Intelligence
Zhejiang University · Advisors: Prof. Gang Chen and Prof. Tianlei Hu
2017–2018
Visiting Student
University of New South Wales · Advisors: Prof. Xuemin Lin and Prof. Weiwei Liu
2014–2018
B.E. in Computer Science
Zhejiang University · Advisor: Prof. Yunjun Gao
Experience
2023–Now
Assistant Professor · Ph.D. Supervisor
School of Software Technology, Zhejiang University
2019–2020
Research Intern
Alibaba Group · Hangzhou, China
2018–2019
Intern
NetEase Inc. · Hangzhou, China
Selected honors
2025
WAIC Yunfan Award, Rising Star Nomination
2023
“Wu Wen-Jun” CAAI Outstanding Doctoral Dissertation
2023
ACM China Doctoral Dissertation Award (Hangzhou Chapter)
2022
ICLR Outstanding Paper Award Honorable Mention
2022
ICML Outstanding Reviewer
Academic service
Action Editor
Transactions on Machine Learning Research
Area Chair
ICLR, ICML, NeurIPS, ACL, EMNLP
Reviewer
TPAMI, TKDE, TNNLS, TCSVT, Pattern Recognition