Junbo Zhao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
69
Venues
21
Active years
2012–2026
Best venue rank
A*
Where they publish
Papers
69 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 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 | ACL | Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination. | Lirong Gao, Zeqing Wang, Yuyan Cai, Jiayi Deng, Yanmei Gu, Yiming Zhang, Jia Zhou, Yanfei Zhang, Junbo Zhao |
| 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 | HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs. | Ru Peng, Tianyu Zhao, Xijun Gu, Zhiting Fan, Haokai Xu, Jinyang Zhang, Yawen Zeng, Yihong Zhuang, Kexin Yang, Junyang Lin, Dayiheng Liu, Junbo Zhao |
| 2026 | ACL | Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow. | Yangyang Zhong, Yanmei Gu, Zhengqing Zang, Xiaomeng Li, Yuqi Ding, Xibei Jia, Yuting Shen, Zhenzhong Lan, Liwang Zhu, Weiping Liu, Junlin Zhou, Haisheng Liu, Zhong Xin Yu, Pengxin Luo, Donglian Qi, Yunfeng Yan, Junbo Zhao |
| 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 | WWW | KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling. | Mingming Zhang, Pengfei Shi, Junbo Zhao, Ningtao Wang, Feng Zhao, Guandong Sun, Yulin Kang, Xing Fu, Zhiqing Xiao, Weiqiang Wang, Ruizhe Gao |
| 2025 | ACL | ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models. | Hao Chen, Haoze Li, Zhiqing Xiao, Lirong Gao, Qi Zhang, Xiaomeng Hu, Ningtao Wang, Xing Fu, Junbo Zhao |
| 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 | D.Va: Validate Your Demonstration First Before You Use It. | Qi Zhang, Zhiqing Xiao, Ruixuan Xiao, Lirong Gao, Junbo Zhao |
| 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 | COLING | AIGT: AI Generative Table Based on Prompt. | Mingming Zhang, Zhiqing Xiao, Guoshan Lu, Sai Wu, Weiqiang Wang, Xing Fu, Can Yi, 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 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 | EMNLP | RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering. | Yiming Zhang, Siyue Zhang, Junbo Zhao, Chen Zhao |
| 2025 | HPCA | TB-STC: Transposable Block-wise N: M Structured Sparse Tensor Core. | Jun Liu, Shulin Zeng, Junbo Zhao, Li Ding, Zeyu Wang, Jinhao Li, Zhenhua Zhu, Xuefei Ning, Chen Zhang, Yu Wang, Guohao Dai |
| 2025 | ICCV | Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information. | Junbo Zhao, Ting Zhang, Jiayu Sun, Mi Tian, Hua Huang |
| 2025 | ICLR | Revisiting Convolution Architecture in the Realm of DNA Foundation Models. | Yu Bo, Weian Mao, Yanjun Shao, Weiqiang Bai, Peng Ye, Xinzhu Ma, Junbo Zhao, Hao Chen, Chunhua Shen |
| 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 | ICLR | DataMan: Data Manager for Pre-training Large Language Models. | Ru Peng, Kexin Yang, Yawen Zeng, Junyang Lin, Dayiheng Liu, Junbo Zhao |
| 2025 | IJCAI | POLO: An LLM-Powered Project-Level Code Performance Optimization Framework. | Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao, Gang Chen |
| 2025 | IJCAI | Towards Robust Incremental Learning Under Ambiguous Supervision. | Rui Wang, Mingxuan Xia, Haobo Wang, Lei Feng, Junbo Zhao, Gang Chen, Chang Yao |
| 2025 | NAACL | Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models. | Jiachen Ma, Yijiang Li, Zhiqing Xiao, Anda Cao, Jie Zhang, Chao Ye, Junbo Zhao |
| 2025 | PIMRC | Exploring O-RAN Compression Techniques in Decentralized Distributed MIMO Systems: Reducing Fronthaul Load. | Mostafa Rahmani Ghourtani, Junbo Zhao, Vida Ranjbar, Ahmed Al-Tahmeesschi, Hamed Ahmadi, Sofie Pollin, Alister G. Burr |
| 2025 | WCNC | Securing 5G NR Networks: Innovative Artificial Noise Methods for Protecting Cell-Free Massive MIMO. | Mostafa Rahmani Ghourtani, Junbo Zhao, Manijeh Bashar, Kanapathippillai Cumanan, Alister G. Burr, Rahim Tafazolli |
| 2025 | WCNC | Can We Rely on Gaussian Distribution for Few-Bit CSI Acquisition in Decentralized Distributed Massive MIMO? | Junbo Zhao, Mostafa Rahmani Ghourtani, Alister G. Burr |
| 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 | DORY: Deliberative Prompt Recovery for LLM. | Lirong Gao, Ru Peng, Yiming Zhang, Junbo Zhao |
| 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 | 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 | Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection. | Xiaomeng Hu, Yiming Zhang, Ru Peng, Haozhe Zhang, Chenwei Wu, Gang Chen, Junbo Zhao |
| 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 | IECON | A Q-learning based Adaptive Control of Hybrid Energy Storage System to Mitigate Power Fluctuations in Grid-Connected Microgrids. | Mohamadamin Rajabinezhad, Nesa Shams, Junbo Zhao, Shan Zuo |
| 2024 | IECON | Urban-Scale Control of School Bus Fleet Charging and Discharging Strategies Using Single and Multi-Stage Optimization. | Alaa Selim, Soroush Vahedi, Sunil Subedi, Junbo Zhao |
| 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 | Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start". | Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang |
| 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 | EMNLP | Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. | Shuai Zhao, Jinming Wen, Anh Tuan Luu, Junbo Zhao, Jie Fu |
| 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 | ProMix: Combating Label Noise via Maximizing Clean Sample Utility. | Ruixuan Xiao, Yiwen Dong, Haobo Wang, Lei Feng, Runze Wu, Gang Chen, Junbo Zhao |
| 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 | ACL | Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. | Yiming Zhang, Min Zhang, Sai Wu, Junbo Zhao |
| 2022 | ICDE | A Comparative Study of in-Database Inference Approaches. | Qiuru Lin, Sai Wu, Junbo Zhao, Jian Dai, Feifei Li, Gang Chen |
| 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 |
| 2022 | ICONIP | Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network. | Ru Peng, Nankai Lin, Yi Fang, Shengyi Jiang, Tianyong Hao, Boyu Chen, Junbo Zhao |
| 2022 | WWW | A Sampling-based Learning Framework for Big Databases. | Jingtian Zhang, Sai Wu, Junbo Zhao, Zhongle Xie, Feifei Li, Yusong Gao, Gang Chen |
| 2021 | ICML | Joining datasets via data augmentation in the label space for neural networks. | Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen |
| 2021 | IROS | Semi-supervised Vein Segmentation of Ultrasound Images for Autonomous Venipuncture. | Yu Chen, Yuxuan Wang, Bolin Lai, Zijie Chen, Xu Cao, Nanyang Ye, Zhongyuan Ren, Junbo Zhao, Xiao-Yun Zhou, Peng Qi |
| 2020 | ACSSC | Cell-free Massive MIMO with multi-antenna access points and user terminals. | Alister G. Burr, Shammi Farhana Islam, Junbo Zhao, Manijeh Bashar |
| 2016 | ISM | Research and Application of the "Crystal-Atom" Model to the Flipped Classroom Instruction Methodology. | Junbo Zhao, Lianglong Cheng |
| 2012 | MASS | Correlating mobility with social encounters: Distributed localization in sparse mobile networks. | Junbo Zhao, Yanmin Zhu, Lionel M. Ni |