Huang, Zhenya

40 publications

ICLR 2026 Perception-R1: Advancing Multimodal Reasoning Capabilities of MLLMs via Visual Perception Reward Tong Xiao, Xin Xu, Zhenya Huang, Hongyu Gao, Quan Liu, Qi Liu, Enhong Chen

ICLR 2026 Pruning Long Chain-of-Thought of Large Reasoning Models via Small-Scale Preference Optimization Bin Hong, Jiayu Liu, Kai Zhang, Jianwen Sun, Mengdi Zhang, Zhenya Huang

NeurIPS 2025 A Closed-Form Solution for Fast and Reliable Adaptive Testing Yan Zhuang, Chenye Ke, Zirui Liu, Qi Liu, Yuting Ning, Zhenya Huang, Weizhe Huang, Qingyang Mao, Shijin Wang

AAAI 2025 Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang

AAAI 2025 Automated Creation of Reusable and Diverse Toolsets for Enhancing LLM Reasoning Zhiyuan Ma, Zhenya Huang, Jiayu Liu, Minmao Wang, Hongke Zhao, Xin Li

ICLR 2025 Can LLMs Solve Longer Math Word Problems Better? Xin Xu, Tong Xiao, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang

IJCAI 2025 CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang

ICML 2025 CogMath: Assessing LLMs’ Authentic Mathematical Ability from a Human Cognitive Perspective Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen

AAAI 2025 Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su

AAAI 2025 Explore What LLM Does Not Know in Complex Question Answering Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen

AAAI 2025 Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen

ICML 2025 Position: AI Evaluation Should Learn from How We Test Humans Yan Zhuang, Qi Liu, Zachary Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen

ICLR 2025 Unveiling the Magic of Code Reasoning Through Hypothesis Decomposition and Amendment Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen

ICML 2025 What Makes In-Context Learning Effective for Mathematical Reasoning Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, Chengxiang Zhai, Enhong Chen

ICML 2024 A Unified Adaptive Testing System Enabled by Hierarchical Structure Search Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen

AAAI 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang

NeurIPS 2024 Computerized Adaptive Testing via Collaborative Ranking Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang

NeurIPS 2024 Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin Lin, Yuting Ning, Binbin Jin, Xin Li, Qi Liu

IJCAI 2024 Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen

NeurIPS 2024 SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen

NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen

NeurIPS 2023 A Bounded Ability Estimation for Computerized Adaptive Testing Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary Pardos, Enhong Chen, Jinze Wu, Xin Li

NeurIPS 2023 Adaptive Normalization for Non-Stationary Time Series Forecasting: A Temporal Slice Perspective Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen

IJCAI 2023 Exploiting Non-Interactive Exercises in Cognitive Diagnosis Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang

AAAI 2023 Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu

AAAI 2023 Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-Training Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang

AAAI 2022 Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma

IJCAI 2021 GraphMI: Extracting Private Graph Data from Graph Neural Networks Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen

IJCAI 2021 Guided Attention Network for Concept Extraction Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu

AAAI 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang

IJCAI 2021 Item Response Ranking for Cognitive Diagnosis Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang

AAAI 2021 NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao

IJCAI 2021 Preference-Adaptive Meta-Learning for Cold-Start Recommendation Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen

AAAI 2020 A Variational Point Process Model for Social Event Sequences Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen

AAAI 2020 Neural Cognitive Diagnosis for Intelligent Education Systems Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang

AAAI 2019 Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He

AAAI 2018 Confidence-Aware Matrix Factorization for Recommender Systems Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang

AAAI 2018 Exercise-Enhanced Sequential Modeling for Student Performance Prediction Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu

AAAI 2017 Question Difficulty Prediction for READING Problems in Standard Tests Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu

AAAI 2016 Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang