Joining datasets via data augmentation in the label space for neural networks. - Junbo Zhao 002; Mingfeng Ou; Linji Xue; Yunkai Cui; Sai Wu; Gang Chen 001 (ICML, 2021)

Boosting Neural Machine Translation with Dependency-Scaled Self-Attention Network. - Ru Peng; Nankai Lin; Yi Fang; Shengyi Jiang; Junbo Zhao 002 (CoRR, 2021)

Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis. - Yiming Zhang 023; Min Zhang; Sai Wu; Junbo Zhao 002 (ACL (Findings), 2022)

A Comparative Study of in-Database Inference Approaches. - Qiuru Lin; Sai Wu; Junbo Zhao 002; Jian Dai; Feifei Li 001; Gang Chen 001 (ICDE, 2022)

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)

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 002 (ICONIP (3), 2022)

HybridVocab: Towards Multi-Modal Machine Translation via Multi-Aspect Alignment. - Ru Peng; Yawen Zeng; Junbo Zhao 002 (ICMR, 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)

A Sampling-based Learning Framework for Big Databases. - Jingtian Zhang; Sai Wu; Junbo Zhao 002; Zhongle Xie; Feifei Li 001; Yusong Gao; Gang Chen 001 (WWW, 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)

Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation. - Ru Peng; Yawen Zeng; Junbo Zhao 002 (CoRR, 2022)

Dynamic Index Construction with Deep Reinforcement Learning. - Sai Wu; Ying Li; Haoqi Zhu; Junbo Zhao 002; Gang Chen 001 (Data Sci. Eng., 2022)

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)

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)

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)

Better Sign Language Translation with Monolingual Data. - Ru Peng; Yawen Zeng; Junbo Zhao 002 (CoRR, 2023)

Maybe Only 0.5% Data is Needed: A Preliminary Exploration of Low Training Data Instruction Tuning. - Hao Chen 102; Yiming Zhang 023; Qi Zhang 077; Hantao Yang; Xiaomeng Hu; Xuetao Ma 002; Yifan Yanggong; 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)

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

Fuse feeds as one: cross-modal framework for general identification of AMPs. - Wentao Zhang; Yanchao Xu; Aowen Wang; Gang Chen 001; Junbo Zhao 002 (Briefings Bioinform., 2023)

SmartLite: A DBMS-based Serving System for DNN Inference in Resource-constrained Environments. - Qiuru Lin; Sai Wu; Junbo Zhao 002; Jian Dai; Meng Shi; Gang Chen 001; Feifei Li 001 (Proc. VLDB Endow., 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)

DORY: Deliberative Prompt Recovery for LLM. - Lirong Gao; Ru Peng; Yiming Zhang 023; Junbo Zhao 002 (ACL (Findings), 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)

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)

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection. - Xiaomeng Hu; Yiming Zhang 023; Ru Peng; Haozhe Zhang; Chenwei Wu 010; Gang Chen 001; Junbo Zhao 002 (EMNLP, 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)

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)

Pre-Trained Model Recommendation for Downstream Fine-tuning. - Jiameng Bai; Sai Wu; Jie Song 011; Junbo Zhao 002; Gang Chen 001 (CoRR, 2024)

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models. - Jiachen Ma 005; Anda Cao; Zhiqing Xiao; Jie Zhang; Chao Ye; Junbo Zhao 002 (CoRR, 2024)

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model. - Siwei Wu; Zhongyuan Peng; Xinrun Du; Tuney Zheng; Minghao Liu 003; Jialong Wu 009; Jiachen Ma 005; Yizhi Li; Jian Yang 030; Wangchunshu Zhou; Qunshu Lin; Junbo Zhao 002; 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)

From Laws to Motivation: Guiding Exploration through Law-Based Reasoning and Rewards. - Ziyu Chen; Zhiqing Xiao; Xinbei Jiang; Junbo Zhao 002 (CoRR, 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)

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)

When Quantum Computing Meets Database: A Hybrid Sampling Framework for Approximate Query Processing. - Sai Wu; Meng Shi; Dongxiang Zhang; Junbo Zhao 002; Gongsheng Yuan; Gang Chen 001 (IEEE Trans. Knowl. Data Eng., 2024)

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models. - Hao Chen 102; Haoze Li; Zhiqing Xiao; Lirong Gao; Qi Zhang 077; Xiaomeng Hu; Ningtao Wang; Xing Fu; Junbo Zhao 002 (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 002; et al. (ACL (Findings), 2025)

D.Va: Validate Your Demonstration First Before You Use It. - Qi Zhang 077; Zhiqing Xiao; Ruixuan Xiao; Lirong Gao; Junbo Zhao 002 (ACL (1), 2025)

AIGT: AI Generative Table Based on Prompt. - Mingming Zhang; Zhiqing Xiao; Guoshan Lu; Sai Wu; Weiqiang Wang; Xing Fu; Can Yi; Junbo Zhao 002 (COLING, 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)

DataMan: Data Manager for Pre-training Large Language Models. - Ru Peng; Kexin Yang 002; Yawen Zeng; Junyang Lin; Dayiheng Liu; Junbo Zhao 002 (ICLR, 2025)

Jailbreaking Prompt Attack: A Controllable Adversarial Attack against Diffusion Models. - Jiachen Ma 005; Yijiang Li; Zhiqing Xiao; Anda Cao; Jie Zhang; Chao Ye; Junbo Zhao 002 (NAACL (Findings), 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)

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)

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)

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models. - Hao Chen 102; Haoze Li; Zhiqing Xiao; Lirong Gao; Qi Zhang 077; Xiaomeng Hu; Ningtao Wang; Xing Fu; 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)

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)

SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation. - Zhiqing Xiao; Haobo Wang 001; Xu Lu; Wentao Ye; Gang Chen 001; Junbo Zhao 002 (CoRR, 2025)

Reinforcement Learning with Rubric Anchors. - Zenan Huang; Yihong Zhuang; Guoshan Lu; Zeyu Qin; Haokai Xu; Tianyu Zhao; Ru Peng; Jiaqi Hu; Zhanming Shen; Xiaomeng Hu; Xijun Gu; Peiyi Tu; et al. (CoRR, 2025)