Haobo Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
26
Active years
2015–2026
Best venue rank
A*
Where they publish
- A*ACL11 papers
- A*EMNLP10 papers
- A*AAAI9 papers
- A*IJCAI9 papers
- A*ICML7 papers
- A*ICLR5 papers
- A*WWW4 papers
- A*CVPR2 papers
- A*ICCV2 papers
- BGLOBECOM2 papers
- BISIT2 papers
- BDASFAA1 paper
- UnrankedSENSYS1 paper
- BICPADS1 paper
- BCOLING1 paper
- A*KDD1 paper
- BIJCNN1 paper
- A*DAC1 paper
- BICONIP1 paper
- A*ICDE1 paper
- AISLPED1 paper
- CICA3PP1 paper
- CNPC1 paper
- NationalITA1 paper
- NationalACSSC1 paper
- ALAK1 paper
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | AquaSplatting: A Hybrid 3D Representation for Robust Underwater Scene Reconstruction via Dual-Branch Rendering. | Jiangbei Hu, Haobo Wang, Baixin Xu, Nan Ding, Zhimao Lu, Na Lei, Ying He |
| 2026 | AAAI | Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis. | Kai Tang, Yixuan Tang, Tianyi Chen, Haokai Xu, Qiqi Luo, Jin Guang Zheng, Zhixin Zhang, Gang Chen, Haobo Wang |
| 2026 | AAAI | 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 |
| 2026 | AAAI | Dual Graph Disambiguation for Multi-Instance Partial-Label Learning. | Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun |
| 2026 | ACL | Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph. | Lirong Gao, Zewei Yu, Zhongrui Yin, Qi Zhang, Yuke Zhu, Bo Zheng, Haobo Wang, Junbo Zhao, Gang Chen, Sheng Guo |
| 2026 | ACL | Fine-Grained Data Ordering Improves Fine-Tuning for Large Language Models. | Xiaomeng Hu, Yixuan Tang, Haoze Li, Hao Chen, Qi Zhang, Zhanming Shen, Yiming Zhang, Haobo Wang, Junbo Zhao |
| 2026 | ACL | Everyone is unique: Towards Behaviorally Heterogeneous Negotiation Dialogue Systems for Debt Collection. | Yuhang Yang, Kai Tang, Chao Ye, Haobo Wang, Qiqi Luo, Jin Guang Zheng, Zhixin Zhang |
| 2026 | ACL | 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 |
| 2026 | DASFAA | Bridge-SQL: Bridging Single- and Multi-Turn Text-to-SQL via Preference-Aligned Question Rewriting. | Xuhang Zhu, Xiu Tang, Sai Wu, Yixuan Tang, Haobo Wang, Chang Yao, Ruichen Xia, Gang Chen |
| 2026 | WWW | Reinforcement Learning with Verbalized Probabilities for LLM Classification. | 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 | SENSYS | mTrack: Enabling Long-Term Mouse Social Behavior Analysis through RFID-Vision Hybrid Tracking. | Xingyuming Liu, Bo Liang, Haobo Wang, Zhonghao Li, Qirui Liu, Yan-Xue Xue, Yunhuai Liu, Chenren Xu |
| 2025 | AAAI | Multi-Instance Multi-Label Classification from Crowdsourced Labels. | Ziquan Wang, Mingxuan Xia, Xiangyu Ren, Jiaqing Zhou, Gengyu Lyu, Tianlei Hu, Haobo Wang |
| 2025 | ACL | 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 |
| 2025 | ACL | Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation. | Mingxuan Xia, Haobo Wang, Yixuan Li, Zewei Yu, Jindong Wang, Junbo Zhao, Runze Wu |
| 2025 | ACL | Large Margin Representation Learning for Robust Cross-lingual Named Entity Recognition. | Guangcheng Zhu, Ruixuan Xiao, Haobo Wang, Zhen Zhu, Gengyu Lyu, Junbo Zhao |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | CrowdAgent: Multi-Agent Managed Multi-Source Annotation System. | Maosheng Qin, Renyu Zhu, Mingxuan Xia, Chenkai Chen, Zhen Zhu, Minmin Lin, Junbo Zhao, Lu Xu, Changjie Fan, Runze Wu, Haobo Wang |
| 2025 | EMNLP | CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency. | Zhanming Shen, Hao Chen, Yulei Tang, Shaolin Zhu, Wentao Ye, Xiaomeng Hu, Haobo Wang, Gang Chen, Junbo Zhao |
| 2025 | EMNLP | Towards Transferable Personality Representation Learning based on Triplet Comparisons and Its Applications. | Kai Tang, Rui Wang, Renyu Zhu, Minmin Lin, Xiao Ding, Tangjie Lv, Changjie Fan, Runze Wu, Haobo Wang |
| 2025 | EMNLP | Towards Reverse Engineering of Language Models: A Survey. | Xinpeng Ti, Wentao Ye, Zhifang Zhang, Junbo Zhao, Chang Yao, Lei Feng, Haobo Wang |
| 2025 | EMNLP | Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models. | Mingxuan Xia, Zhijie Jiang, Haobo Wang, Junbo Zhao, Tianlei Hu, Gang Chen |
| 2025 | EMNLP | 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 |
| 2025 | ICLR | 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, Zhen Yang |
| 2025 | ICLR | 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 |
| 2025 | ICML | Representation Surgery in Model Merging with Probabilistic Modeling. | Qi Wei, Shuo He, Enneng Yang, Tingcong Liu, Haobo Wang, Lei Feng, Bo An |
| 2025 | ICML | Mitigating Local Cohesion and Global Sparseness in Graph Contrastive Learning with Fuzzy Boundaries. | Yuena Lin, Haichun Cai, Jun-Yi Hang, Haobo Wang, Zhen Yang, Gengyu Lyu |
| 2025 | ICML | Steer LLM Latents for Hallucination Detection. | Seongheon Park, Xuefeng Du, Min-Hsuan Yeh, Haobo Wang, Yixuan Li |
| 2025 | ICML | P(all-atom) Is Unlocking New Path For Protein Design. | Wei Qu, Jiawei Guan, Rui Ma, Ke Zhai, Weikun Wu, Haobo Wang |
| 2025 | ICML | Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank. | Qiyu Zhong, Yi Shan, Haobo Wang, Zhen Yang, Gengyu Lyu |
| 2025 | ICPADS | Latency Analysis of DAG-Driven Blockchain System for IoV Through the Lens of IOTA. | Xuefeng Piao, Jiasi Li, Hao Ding, Haobo Wang, Huihui Song, Seong-Je Cho, Zhenzhou Ji |
| 2025 | IJCAI | A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution. | Yueying Li, Hanbin Zhao, Jiaqing Zhou, Guozhi Xu, Tianlei Hu, Gang Chen, Haobo Wang |
| 2025 | IJCAI | Towards Robust Incremental Learning Under Ambiguous Supervision. | Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao |
| 2024 | AAAI | A Separation and Alignment Framework for Black-Box Domain Adaptation. | Mingxuan Xia, Junbo Zhao, Gengyu Lyu, Zenan Huang, Tianlei Hu, Gang Chen, Haobo Wang |
| 2024 | ACL | 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 |
| 2024 | ACL | Learning Geometry-Aware Representations for New Intent Discovery. | Kai Tang, Junbo Zhao, Xiao Ding, Runze Wu, Lei Feng, Gang Chen, Haobo Wang |
| 2024 | ACL | Data Contamination Calibration for Black-box LLMs. | Wentao Ye, Jiaqi Hu, Liyao Li, Haobo Wang, Gang Chen, Junbo Zhao |
| 2024 | ACL | RECOST: External Knowledge Guided Data-efficient Instruction Tuning. | Qi Zhang, Yiming Zhang, Haobo Wang, Junbo Zhao |
| 2024 | COLING | Fast Adaptation via Prompted Data: An Efficient Cross-Domain Fine-tuning Method for Large Language Models. | Yiming Zhang, Hantao Yang, Haobo Wang, Jake Zhao |
| 2024 | CVPR | Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation. | Lin Long, Haobo Wang, Zhijie Jiang, Lei Feng, Chang Yao, Gang Chen, Junbo Zhao |
| 2024 | CVPR | Targeted Representation Alignment for Open-World Semi-Supervised Learning. | Ruixuan Xiao, Lei Feng, Kai Tang, Junbo Zhao, Yixuan Li, Gang Chen, Haobo Wang |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | Energy-based Automated Model Evaluation. | Ru Peng, Heming Zou, Haobo Wang, Yawen Zeng, Zenan Huang, Junbo Zhao |
| 2024 | ICML | Unbiased Multi-Label Learning from Crowdsourced Annotations. | Mingxuan Xia, Zenan Huang, Runze Wu, Gengyu Lyu, Junbo Zhao, Gang Chen, Haobo Wang |
| 2024 | IJCAI | Common-Individual Semantic Fusion for Multi-View Multi-Label Learning. | Gengyu Lyu, Weiqi Kang, Haobo Wang, Zheng Li, Zhen Yang, Songhe Feng |
| 2024 | KDD | CoMAL: Contrastive Active Learning for Multi-Label Text Classification. | Cheng Peng, Haobo Wang, Ke Chen, Lidan Shou, Chang Yao, Runze Wu, Gang Chen |
| 2024 | WWW | Towards Cross-Table Masked Pretraining for Web Data Mining. | Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao |
| 2023 | AAAI | A Generalized Unbiased Risk Estimator for Learning with Augmented Classes. | Senlin Shu, Shuo He, Haobo Wang, Hongxin Wei, Tao Xiang, Lei Feng |
| 2023 | EMNLP | Revisiting the Knowledge Injection Frameworks. | Peng Fu, Yiming Zhang, Haobo Wang, Weikang Qiu, Junbo Zhao |
| 2023 | EMNLP | FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models. | Ruixuan Xiao, Yiwen Dong, Junbo Zhao, Runze Wu, Minmin Lin, Gang Chen, Haobo Wang |
| 2023 | ICCV | iDAG: Invariant DAG Searching for Domain Generalization. | Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng |
| 2023 | ICCV | CAME: Contrastive Automated Model Evaluation. | Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao |
| 2023 | ICLR | Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering. | Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao |
| 2023 | ICML | Towards Controlled Data Augmentations for Active Learning. | Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao |
| 2023 | IJCAI | Latent Processes Identification From Multi-View Time Series. | Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng |
| 2023 | IJCAI | Deep Partial Multi-Label Learning with Graph Disambiguation. | Haobo Wang, Shisong Yang, Gengyu Lyu, Weiwei Liu, Tianlei Hu, Ke Chen, Songhe Feng, Gang Chen |
| 2023 | IJCAI | ProMix: Combating Label Noise via Maximizing Clean Sample Utility. | Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao |
| 2023 | IJCNN | Improving the Transferability of Adversarial Examples with Diverse Gradients. | Yangjie Cao, Haobo Wang, Chenxi Zhu, Yan Zhuang, Jie Li, Xianfu Chen |
| 2023 | WWW | Catch: Collaborative Feature Set Search for Automated Feature Engineering. | Guoshan Lu, Haobo Wang, Saisai Yang, Jing Yuan, Guozheng Yang, Cheng Zang, Gang Chen, Junbo Zhao |
| 2022 | DAC | CLIMBER: defending phase change memory against inconsistent write attacks. | Zhuohui Duan, Haobo Wang, Haikun Liu, Xiaofei Liao, Hai Jin, Yu Zhang, Fubing Mao |
| 2022 | ICLR | PiCO: Contrastive Label Disambiguation for Partial Label Learning. | Haobo Wang, Ruixuan Xiao, Yixuan Li, Lei Feng, Gang Niu, Gang Chen, Junbo Zhao |
| 2022 | ICONIP | Multi-label Learning with Data Self-augmentation. | Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li |
| 2021 | ICDE | A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract). | Congcong Ge, Yunjun Gao, Xiaoye Miao, Bin Yao, Haobo Wang |
| 2021 | ISLPED | Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. | Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu |
| 2020 | AAAI | Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification. | Haobo Wang, Chen Chen, Weiwei Liu, Ke Chen, Tianlei Hu, Gang Chen |
| 2020 | IJCAI | Learning From Multi-Dimensional Partial Labels. | Haobo Wang, Weiwei Liu, Yang Zhao, Tianlei Hu, Ke Chen, Gang Chen |
| 2020 | IJCAI | Collaboration Based Multi-Label Propagation for Fraud Detection. | Haobo Wang, Zhao Li, Jiaming Huang, Pengrui Hui, Weiwei Liu, Tianlei Hu, Gang Chen |
| 2020 | WWW | Crowdsourcing Detection of Sampling Biases in Image Datasets. | Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin |
| 2019 | AAAI | Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification. | Chen Chen, Haobo Wang, Weiwei Liu, Xingyuan Zhao, Tianlei Hu, Gang Chen |
| 2019 | GLOBECOM | Decoding Flash Memory with Progressive Reads and Independent vs. Joint Encoding of Bits in a Cell. | Nathan Wong, Ethan Liang, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel |
| 2019 | IJCAI | Discriminative and Correlative Partial Multi-Label Learning. | Haobo Wang, Weiwei Liu, Yang Zhao, Chen Zhang, Tianlei Hu, Gang Chen |
| 2018 | GLOBECOM | Channel Code Analysis and Design Using Multiple Variable-Length Codes in Parallel without Feedback. | Haobo Wang, Richard D. Wesel |
| 2018 | ICA3PP | A Priority and Fairness Mixed Compaction Scheduling Mechanism for LSM-tree Based KV-Stores. | Lidong Chen, Yinliang Yue, Haobo Wang, Jianhua Wu |
| 2018 | NPC | KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance. | Haobo Wang, Yinliang Yue, Shuibing He, Weiping Wang |
| 2017 | ISIT | Approaching capacity using incremental redundancy without feedback. | Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel |
| 2017 | ISIT | An information density approach to analyzing and optimizing incremental redundancy with feedback. | Haobo Wang, Nathan Wong, Alexander M. Baldauf, Christopher K. Bachelor, Sudarsan V. S. Ranganathan, Dariush Divsalar, Richard D. Wesel |
| 2017 | ITA | Sequential differential optimization of incremental redundancy transmission lengths: An example with tail-biting convolutional codes. | Nathan Wong, Kasra Vakilinia, Haobo Wang, Sudarsan V. S. Ranganathan, Richard D. Wesel |
| 2015 | ACSSC | Dynamic voltage allocation with quantized voltage levels and simplified channel modeling. | Haobo Wang, Nathan Wong, Richard D. Wesel |
| 2015 | LAK | Minimum information entropy based q-matrix learning in DINA model. | Shiwei Ye, Yuan Sun, Haobo Wang, Yi Sun |