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papers

Publications (135)

cs.LG2026

FEAT: A Linear-Complexity Foundation Model for Extremely Large Structured Data

Zhenghang Song, Tang Qian, Lu Chen +7

eess.SY2023

Resilient Model-Free Asymmetric Bipartite Consensus for Nonlinear Multi-Agent Systems against DoS Attacks

Yi Zhang, Yichao Wang, Junbo Zhao +1

cs.CV2023

Controllable Textual Inversion for Personalized Text-to-Image Generation

Jianan Yang, Haobo Wang, Yanming Zhang +4

eess.SY2023

Voltage-Dependent Electromechanical Wave Propagation Modeling for Dynamic Stability Analysis in Power Systems

Somayeh Yarahmadi, Daniel Adrian Maldonado, Lamine Mili +2

eess.SY2017

Robust Power System Dynamic State Estimator with Non-Gaussian Measurement Noise: Part II--Implementation and Results

Junbo Zhao, Lamine Mili

eess.SY2026

Communication Network-Aware Missing Data Recovery for Enhanced Distribution Grid Visibility

Biswas Rudra Jyoti Arka, Md Zahidul Islam, Yuzhang Lin +2

stat.ML2016

Stacked What-Where Auto-encoders

Junbo Zhao, Michael Mathieu, Ross Goroshin +1

cs.LG2024

Energy-based Automated Model Evaluation

Ru Peng, Heming Zou, Haobo Wang +3

cs.AI2017

Prediction Under Uncertainty with Error-Encoding Networks

Mikael Henaff, Junbo Zhao, Yann LeCun

cs.LG2023

Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start"

Junbo Zhao, Xuefei Ning, Enshu Liu +7

cs.LG2025

TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning

Shenzhi Yang, Guangcheng Zhu, Xing Zheng +7

cs.CL2023

Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine Translation

Ru Peng, Yawen Zeng, Junbo Zhao

eess.SY2020

Nonlinear Virtual Inertia Control of WTGs for Enhancing Primary Frequency Response and Suppressing Drive-Train Torsional Oscillations

Bi Liu, Qi Huang, Junbo Zhao +2

cs.CL2025

RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis

Pengzuo Wu, Yuhang Yang, Guangcheng Zhu +10

cs.CL2025

D.Va: Validate Your Demonstration First Before You Use It

Qi Zhang, Zhiqing Xiao, Ruixuan Xiao +2

cs.CL2026

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs

Ru Peng, Tianyu Zhao, Xijun Gu +9

The paper introduces HSS-Synth, a pipeline that creates high‑quality instruction‑tuning data for large language models in the humanities and social sciences by generating seed docu…

#data synthesis#instruction tuning#humanities#social sciences
cs.CL2025

Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs

Ling Team, Bin Hu, Cai Chen +43

cs.LG2025

Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection

Shenzhi Yang, Junbo Zhao, Sharon Li +4

cs.CL2025

Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts

Haoyuan Wu, Haoxing Chen, Xiaodong Chen +10

cs.AI2026

Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing

Can Li, Ting Zhang, Junbo Zhao +1

cs.LG2022

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

Haobo Wang, Mingxuan Xia, Yixuan Li +4

cs.CL2024

RECOST: External Knowledge Guided Data-efficient Instruction Tuning

Qi Zhang, Yiming Zhang, Haobo Wang +1

cs.CL2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models

Ruixuan Xiao, Yiwen Dong, Junbo Zhao +4

eess.SY2025

Gaussian Processes in Power Systems: Techniques, Applications, and Future Works

Bendong Tan, Tong Su, Yu Weng +6

eess.SY2026

Stiffness-Aware Decentralized Dynamic State Estimation for Inverter-Dominated Power Systems

Xingyu Zhao, Marcos Netto, Junbo Zhao

cs.CL2025

LLaDA-MoE: A Sparse MoE Diffusion Language Model

Fengqi Zhu, Zebin You, Yipeng Xing +23

cs.CL2026

SkillComposer: Learning to Evolve Agent Skills for Specification and Generalization

Qi Zhang, Zhaopeng Feng, Xiaonan Shi +8

cs.CV2025

Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory

Lin Long, Yichen He, Wentao Ye +5

eess.SY2026

Harnessing Flexible Spatial and Temporal Data Center Workloads for Grid Regulation Services

Yingrui Fan, Junbo Zhao

eess.IV2021

VeniBot: Towards Autonomous Venipuncture with Semi-supervised Vein Segmentation from Ultrasound Images

Yu Chen, Yuxuan Wang, Bolin Lai +7

cs.AI2026

Semantically Similar, Logically Distinct: Diagnosing the Semantic-Answerability Gap in Table RAG

Jiaming Tian, Liyao Li, Wentao Ye +5

cs.LG2025

Beyond Tree Models: A Hybrid Model of KAN and gMLP for Large-Scale Financial Tabular Data

Mingming Zhang, Jiahao Hu, Pengfei Shi +8

eess.SY2024

Comparative Study of Data-driven Area Inertia Estimation Approaches on WECC Power Systems

Bendong Tan, Jiangkai Peng, Ningchao Gao +2

eess.SY2020

Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach

Xingyu Lei, Zhifang Yang, Juan Yu +3

cs.LG2025

TableGPT-R1: Advancing Tabular Reasoning Through Reinforcement Learning

Saisai Yang, Qingyi Huang, Jing Yuan +13

cs.AI2025

Reinforcement Learning with Rubric Anchors

Zenan Huang, Yihong Zhuang, Guoshan Lu +18

cs.AI2026

Stop Unnecessary Reflection: Training LRMs for Efficient Reasoning with Adaptive Reflection and Length Coordinated Penalty

Zewei Yu, Lirong Gao, Yuke Zhu +4

cs.CV2026

dRAE: Representation Autoencoder with Hyper-Spherical Codes

Tianren Ma, Lin Long, Chuyan Chen +4

cs.LG2025

ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems

Yiming Zhang, Yingfan Ma, Yanmei Gu +9

eess.SY2025

A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Tong Su, Tong Wu, Junbo Zhao +2

cs.CL2026

BridgeAlign: Bridging Preference Alignment for Humanities and Social Sciences

Ru Peng, Haokai Xu, Xijun Gu +11

BridgeAlign introduces a three-stage pipeline that creates and uses synthetic preference data to align large language models with nuanced quality judgments in humanities and social…

#preference alignment#humanities and social sciences#large language models#synthetic data generation
cs.AI2023

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT

Liangyu Zha, Junlin Zhou, Liyao Li +22

cs.CV2025

SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation

Zhiqing Xiao, Haobo Wang, Xu Lu +3

eess.SY2022

Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States

Sebastian Nugroho, Ahmad Taha, Nikolaos Gatsis +1

cs.LG2025

An Invariant Latent Space Perspective on Language Model Inversion

Wentao Ye, Jiaqi Hu, Haobo Wang +7

cs.CV2023

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation

Zhiqing Xiao, Haobo Wang, Ying Jin +4

cs.LG2025

Merge-of-Thought Distillation

Zhanming Shen, Zeyu Qin, Zenan Huang +6

eess.SY2025

Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks

Yi Zhang, Mohamadamin Rajabinezhad, Yichao Wang +2

cs.LG2026

KMLP: A Scalable Hybrid Architecture for Web-Scale Tabular Data Modeling

Mingming Zhang, Pengfei Shi, Zhiqing Xiao +8

cs.AI2026

Momentum for Reasoning: Dense Intrinsic Signals in Policy Optimization

Hao Chen, Zhanming Shen, Liyao Li +8

eess.SP2026

Failure-Aware Access Point Selection for Resilient Cell-Free Massive MIMO Networks

Mostafa Rahmani Ghourtani, Junbo Zhao, Yi Chu +3

eess.SY2020

Distributed Voltage Regulation of Active Distribution System Based on Enhanced Multi-agent Deep Reinforcement Learning

Di Cao, Junbo Zhao, Weihao Hu +3

eess.SY2020

Distributed Robust State Estimation for Hybrid AC/DC Distribution Systems using Multi-Source Data

Manyun Huang, Junbo Zhao, Zhinong Wei +2

cs.AI2024

AIGT: AI Generative Table Based on Prompt

Mingming Zhang, Zhiqing Xiao, Guoshan Lu +5

cs.CL2024

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Lin Long, Rui Wang, Ruixuan Xiao +4

eess.SY2023

Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Systems with Multi-Source Multi-Rate Data

Ying Zhang, Junbo Zhao, Di Shi +1

cs.CV2024

Pre-Trained Model Recommendation for Downstream Fine-tuning

Jiameng Bai, Sai Wu, Jie Song +2

cs.CL2026

Reasoning Error from Known Fact: Step-Level Self-Consistency Group Relative Policy Optimization for LLM

Xiaomeng Hu, Jiaqi Hu, Hao Chen +4

cs.CL2026

DeltaMem: Towards Agentic Memory Management via Reinforcement Learning

Qi Zhang, Shen Huang, Chu Liu +4

cs.LG2023

Latent Processes Identification From Multi-View Time Series

Zenan Huang, Haobo Wang, Junbo Zhao +1

cs.CL2026

RPDR: A Round-trip Prediction-Based Data Augmentation Framework for Long-Tail Question Answering

Yiming Zhang, Siyue Zhang, Junbo Zhao +1

cs.CL2025

ALPS: Attention Localization and Pruning Strategy for Efficient Alignment of Large Language Models

Hao Chen, Haoze Li, Zhiqing Xiao +6

cs.IT2024

Bussgang revisited: effect of quantization on signal to distortion plus noise ratio with non-Gaussian signals

Alister Burr, Abigail Elcock, Junbo Zhao

eess.SY2024

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications

Tong Su, Jiangkai Peng, Alaa Selim +2

cs.LG2024

Scalable Volt-VAR Optimization using RLlib-IMPALA Framework: A Reinforcement Learning Approach

Alaa Selim, Yanzhu Ye, Junbo Zhao +1

eess.SY2021

Robust Data-Driven Linear Power Flow Model with Probability Constrained Worst-Case Errors

Yitong Liu, Zhengshuo Li, Junbo Zhao

eess.SY2024

Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy

Tong Su, Junbo Zhao

cs.LG2026

OPRD: On-Policy Representation Distillation

Shenzhi Yang, Guangcheng Zhu, Bowen Song +8

cs.AI2026

Non-Parametric Structural Priors for Geometry Theorem Prediction

Junbo Zhao, Ting Zhang, Can Li +3

cs.CL2024

A Comparative Study on Reasoning Patterns of OpenAI's o1 Model

Siwei Wu, Zhongyuan Peng, Xinrun Du +14

cs.LG2025

Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation

Mingxuan Xia, Haobo Wang, Yixuan Li +4

cs.AI2026

Purified OPSD: On-Policy Self-Distillation Without Losing How to Think

Zhanming Shen, Jintao Tong, Shaotian Yan +9

cs.LG2024

Data Contamination Calibration for Black-box LLMs

Wentao Ye, Jiaqi Hu, Liyao Li +3

cs.CL2025

HeartBench: Probing Core Dimensions of Anthropomorphic Intelligence in LLMs

Jiaxin Liu, Peiyi Tu, Wenyu Chen +9

cs.LG2025

LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Tiwei Bie, Maosong Cao, Kun Chen +28

cs.CL2022

Deps-SAN: Neural Machine Translation with Dependency-Scaled Self-Attention Network

Ru Peng, Nankai Lin, Yi Fang +4

cs.AI2025

Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence

Jiaming Tian, Liyao Li, Wentao Ye +6

cs.AI2021

Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach

Xuefei Ning, Junbo Zhao, Wenshuo Li +4

cs.CL2025

Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model

Ling Team, Anqi Shen, Baihui Li +101

cs.LG2017

Energy-based Generative Adversarial Network

Junbo Zhao, Michael Mathieu, Yann LeCun

cs.CV2023

CAME: Contrastive Automated Model Evaluation

Ru Peng, Qiuyang Duan, Haobo Wang +5

cs.LG2025

FLoE: Fisher-Based Layer Selection for Efficient Sparse Adaptation of Low-Rank Experts

Xinyi Wang, Lirong Gao, Haobo Wang +2

math.OC2023

Efficient Computation of Power System Maximum Transient Linear Growth

Daniel Adrian Maldonado, Emil Constantinescu, Junbo Zhao +1

cs.GR2024

3D-PreMise: Can Large Language Models Generate 3D Shapes with Sharp Features and Parametric Control?

Zeqing Yuan, Haoxuan Lan, Qiang Zou +1

cs.CL2022

Towards Unifying the Label Space for Aspect- and Sentence-based Sentiment Analysis

Yiming Zhang, Min Zhang, Sai Wu +1

cs.CV2025

Pi-GPS: Enhancing Geometry Problem Solving by Unleashing the Power of Diagrammatic Information

Junbo Zhao, Ting Zhang, Jiayu Sun +2

cs.CL2026

Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation

Zhiting Fan, Ruizhe Chen, Tianxiang Hu +7

cs.CL2026

Training-Trajectory-Aware Token Selection

Zhanming Shen, Jiaqi Hu, Zeyu Qin +7

eess.SY2020

Model-Free Voltage Regulation of Unbalanced Distribution Network Based on Surrogate Model and Deep Reinforcement Learning

Di Cao, Junbo Zhao, Weihao Hu +4

cs.LG2023

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

Wentao Ye, Mingfeng Ou, Tianyi Li +8

eess.AS2020

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Ziyu Wang, Yiyi Zhang, Yixiao Zhang +4

cs.CL2025

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization

Qi Zhang, Shouqing Yang, Lirong Gao +8

cs.CL2023

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models

Shuai Zhao, Jinming Wen, Luu Anh Tuan +2

eess.SY2023

Cyber-Physical Testbed Integrating RTAC with RTDS for Game-Theoretic Topology Control Under Load Altering Attacks

Alaa Selim, Junbo Zhao

cs.CL2026

Can LLMs Act as Historians? Evaluating Historical Research Capabilities of LLMs via the Chinese Imperial Examination

Lirong Gao, Zeqing Wang, Yuyan Cai +6

cs.LG2025

Revisiting Convolution Architecture in the Realm of DNA Foundation Models

Yu Bo, Weian Mao, Yanjun Shao +6

cs.CL2024

DORY: Deliberative Prompt Recovery for LLM

Lirong Gao, Ru Peng, Yiming Zhang +1

eess.IV2021

VeniBot: Towards Autonomous Venipuncture with Automatic Puncture Area and Angle Regression from NIR Images

Xu Cao, Zijie Chen, Bolin Lai +8

cs.LG2022

PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning

Haobo Wang, Ruixuan Xiao, Yixuan Li +4

cs.LG2024

TableGPT2: A Large Multimodal Model with Tabular Data Integration

Aofeng Su, Aowen Wang, Chao Ye +30