Weibo Gao - RankMe

66 papers A* 23A 1Journal 32Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling. ACM Trans. Inf. Syst. Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao, Enhong Chen
2026	J	`jnl`	CANOD: A Competence Assessment Network for Open Source Software Developers. Expert Syst. Appl. Xu An, Jianhui Ma, Yanqing An, Weibo Gao, Enhong Chen
2026	A*	`conf`	Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning. AAAI Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026	J	`jnl`	Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning. CoRR Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026	A*	`conf`	Difference-based Sample Selection for Federated Graph Rationalization. WWW Linan Yue, Weibo Gao
2026	J	`jnl`	Guided by Trajectories: Repairing and Rewarding Tool-Use Trajectories for Tool-Integrated Reasoning. CoRR Siyu Gong, Linan Yue, Weibo Gao, Fangzhou Yao, Shimin Di, Lei Feng, Min-Ling Zhang
2026	J	`jnl`	Language Hierarchization Provides the Optimal Solution to Human Working Memory Limits. CoRR Luyao Chen, Weibo Gao, Junjie Wu, Jinshan Wu, Angela D. Friederici
2025	J	`jnl`	A continuous-variable quantum repeater protocol enhanced with multiplexing and thermal noise. Quantum Inf. Process. Xin Li, Rigui Zhou, Yu Cai, Ruiqing Xu, Chao Gao, Weibo Gao
2025	A*	`conf`	Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. AAAI Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang
2025	J	`jnl`	Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems. CoRR Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang
2025	J	`jnl`	Artificial intelligence for representing and characterizing quantum systems. CoRR Yuxuan Du, Yan Zhu, Yuan-Hang Zhang, Min-Hsiu Hsieh, Patrick Rebentrost, Weibo Gao, Ya-Dong Wu, Jens Eisert, Giulio Chiribella, Dacheng Tao, Barry C. Sanders
2025	J	`jnl`	Automated deep learning method for whole-breast segmentation in contrast-free quantitative MRI. BMC Medical Imaging Weibo Gao, Yanyan Zhang, Bo Gao, Yuwei Xia, Wenbin Liang, Quanxin Yang, Feng Shi, Tuo He, Guangxu Han, Xiaohui Li, Xuan Su, Yuelang Zhang
2025	A*	`conf`	BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling. WWW Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv
2025	A*	`conf`	CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. IJCAI Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang
2025	J	`jnl`	CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models. CoRR Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang
2025	—	`conf`	Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. KDD (1) Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang
2025	J	`jnl`	Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor. CoRR Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yre, Fangzhou Yao, Zheng Zhang
2025	J	`jnl`	Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models. CoRR Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang
2025	A*	`conf`	Empowering Federated Graph Rationale Learning with Latent Environments. WWW Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du
2025	A*	`conf`	GenAL: Generative Agent for Adaptive Learning. AAAI Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu
2025	A*	`conf`	GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning. ICDE Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao
2025	J	`jnl`	GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning. CoRR Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao
2025	—	`conf`	IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. ACL (1) Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu
2025	J	`jnl`	IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory. CoRR Wei Song, Zhenya Huang, Cheng Cheng, Weibo Gao, Bihan Xu, Guanhao Zhao, Fei Wang, Runze Wu
2025	J	`jnl`	Learning from shortcut: a shortcut-guided approach for explainable graph learning. Frontiers Comput. Sci. Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao
2025	—	`conf`	ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning. EMNLP (Findings) Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong
2025	J	`jnl`	Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis. IEEE Trans. Neural Networks Learn. Syst. Yuze Zhao, Zhenya Huang, Kai Zhang, Weibo Gao, Qi Liu, Xukai Liu, Fangzhou Yao, Enhong Chen
2025	—	`conf`	TestAgent: An Adaptive and Intelligent Expert for Human Assessment. ACL (Findings) Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025	J	`jnl`	TestAgent: An Adaptive and Intelligent Expert for Human Assessment. CoRR Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025	J	`jnl`	The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation. CoRR Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao
2024	J	`jnl`	A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions. CoRR Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen
2024	A*	`conf`	AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling. KDD Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He
2024	A*	`conf`	Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. NeurIPS Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
2024	J	`jnl`	Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling. CoRR Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
2024	A*	`conf`	Cooperative Classification and Rationalization for Graph Generalization. WWW Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
2024	J	`jnl`	Cooperative Classification and Rationalization for Graph Generalization. CoRR Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
2024	A*	`conf`	EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction. ICRA Irving Fang, Yuzhong Chen, Yifan Wang, Jianghan Zhang, Qiushi Zhang, Jiali Xu, Xibo He, Weibo Gao, Hao Su, Yiming Li, Chen Feng
2024	J	`jnl`	EgoPAT3Dv2: Predicting 3D Action Target from 2D Egocentric Vision for Human-Robot Interaction. CoRR Irving Fang, Yuzhong Chen, Yifan Wang, Jianghan Zhang, Qiushi Zhang, Jiali Xu, Xibo He, Weibo Gao, Hao Su, Yiming Li, Chen Feng
2024	A*	`conf`	Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling. WWW Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao
2024	A*	`conf`	Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. SIGIR Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024	J	`jnl`	Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models. CoRR Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024	J	`jnl`	FedGT: Federated Node Classification with Scalable Graph Transformer. CoRR Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu
2024	—	`conf`	FedJudge: Federated Legal Large Language Model. DASFAA (5) Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
2024	A*	`conf`	Federated Self-Explaining GNNs with Anti-shortcut Augmentations. ICML Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao
2024	—	`conf`	Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework. DASFAA (4) Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng
2024	—	`conf`	Post-hoc Facts augmented Legal Judgment Prediction. DASFAA (2) Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu
2024	A*	`conf`	Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation. NeurIPS Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen
2024	A*	`conf`	Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. ICLR Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
2024	J	`jnl`	Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery. CoRR Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
2024	J	`jnl`	Understanding and improving fairness in cognitive diagnosis. Sci. China Inf. Sci. Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen
2024	A*	`conf`	Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives. AAAI Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2024	A*	`conf`	π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control. AAAI Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou
2023	J	`jnl`	ASSIST: Interactive Scene Nodes for Scalable and Realistic Indoor Simulation. CoRR Zhide Zhong, Jiakai Cao, Songen Gu, Sirui Xie, Weibo Gao, Liyi Luo, Zike Yan, Hao Zhao, Guyue Zhou
2023	—	`conf`	Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction. CICAI (1) Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi
2023	A*	`conf`	FairLISA: Fair User Modeling with Limited Sensitive Attributes Information. NeurIPS Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
2023	J	`jnl`	FedJudge: Federated Legal Large Language Model. CoRR Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
2023	A*	`conf`	Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis. SIGIR Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang
2023	J	`jnl`	MuST: An interpretable multidimensional strain theory model for corporate misreporting prediction. Electron. Commer. Res. Appl. Chunli Liu, Liu Yang, Weibo Gao, Yang Li, Yezheng Liu
2023	J	`jnl`	Novel Quantum Information Processing Methods and Investigation. CoRR Ze Yu Zhang, Weibo Gao
2023	—	`conf`	System Design and Research of Future Broadcasting Service Based on Blockchain. BMSB Jinghan Wang, Wei Liang, Yan Liu, Weibo Gao, Jun Zhao, Qiuhong Zheng
2023	J	`jnl`	Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives. CoRR Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2022	J	`jnl`	Blockchained supply chain management based on IoT tracking and machine learning. EURASIP J. Wirel. Commun. Netw. Zhongping Dong, Wei Liang, Yan Liang, Weibo Gao, Yi Lu
2022	—	`conf`	Dependency and Association Enhanced Finding Similar Exercises in Online Education System. CCIS Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu
2021	A*	`conf`	RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems. SIGIR Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su
2020	A*	`conf`	Neural Mathematical Solver with Enhanced Formula Structure. SIGIR Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen
2019	A	`conf`	Exploring Multi-Objective Exercise Recommendations in Online Education Systems. CIKM Zhenya Huang, Qi Liu, ChengXiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu