百晓学者学者目录

何亮

副教授、博士生导师、教授、研究员、讲师，新疆大学

精选作品

期刊论文

2026

AgriEvent-UIE：小样本多类型种植农事知识抽取模型

李奇，杨婉霞，杨森，何亮，张娣

《数据分析与知识发现》，No. 6

下载原文

2026

基于坐标注意力的ECAPA-TDNN模型性能研究（英文）

刘双红，宋志达，何亮

Journal of Shanghai Jiaotong University(Science)

2026

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Yu-Tao Yang, Junsong Li, Qianjun Pan, Bihao Zhan, Yuxuan Cai, Lin-Ge Du, Jie Zhou, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Liang He

arXiv.org

DOI

2026

AgentSchool: An LLM-Powered Multi-Agent Simulation for Education

Yulei Ye, Wen-Hao Li, Zhonghao Wen, Yun-Shu Huang, Yi-Chen Hu, Zifan Wei, Yi-Ge Wang, Xinyu Xie, Haoxuan Yang, Yan-Jun Huang, Rui-Jia Li, Hong Qian, Yu Song, Bo Jiang, Bing-Dong Li, Lijun Li, Bo Zhang, Pin-Long Cai, Xingcheng Xu, Shuang-Ye Chen, Xia Hu, Liang He, Aimin Zhou, Jingjing Qu, Jing Shao, Xiangfeng Wang

arXiv.org

DOI

2026

PsychAgent: An Experience-Driven Lifelong Learning Agent for Self-Evolving Psychological Counselor

Yu-Tao Yang, Junsong Li, Qianjun Pan, Jie Zhou, Kaishan Chen, Qin Chen, Jingyuan Zhao, Ningning Zhou, Xin Li, Liang He

arXiv.org

DOI

2026

MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery

Shangheng Du, Xiang-Yu Yan, Jin-Xin Shi, Zong-Sheng Cao, Shi Feng, Zi-Chen Liang, Boyuan Sun, Tian-Shuo Peng, Yifan Zhou, Xin Li, Jie Zhou, Liang He, Bo Zhang, Lei Bai

arXiv.org

DOI

2026

MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs

Tingjiang Wei, Qin Ni, Rong Gao, Ying-Ying Wang, Liang He

AAAI Conference on Artificial Intelligence

DOI

2026

Evidence-chain-driven multimodal retrieval question answering

Shuwen Yang, Anran Wu, Xingjiao Wu, Jia-Bao Zhao, Linlin Wang, Liang He

Knowledge-Based Systems

DOI

2026

Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents

Bo Mao, Jie Zhou, Yu-Tao Yang, Xin Li, Xian-sen Wei, Qin Chen, Xingjiao Wu, Liang He

arXiv.org

DOI

2026

Not All Errors Are Equal: Consequence-Aware Reasoning Compute Allocation

Liang He, Jin Wen, Hao-Yue Wang, Zi-Qi He, Yi-Xiong Chen, Kang-Ning Cui, Xi-Lu Wang

arXiv.org

DOI

2026

PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor

Qianjun Pan, Junyi Wang, Jie Zhou, Yu-Tao Yang, Junsong Li, Kai Xu, Yougen Zhou, Yihan Li, Jingyuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He

Annual Meeting of the Association for Computational Linguistics

DOI

2026

A mechanistic interpretability perspective on personality in large language models

Yuhao Dan, Lang Yu, Jia-Ju Lin, Qin Chen, Jie Zhou, Junfeng Tian, Qing-Chun Bai, Liang He

Information Processing & Management

DOI

2026

Contextual Multi-Objective Optimization: Rethinking Objectives in Frontier AI Systems

Jie Zhou, Qin Chen, Liang He

arXiv.org

DOI

2026

Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding

Jia-Peng Yin, Qing-Bin Li, Kun Sun, Chen Ding, Jie Wang, Qin Chen, Jie Zhou, Nan Wang, Changqing Li, Pei Wu, Jian Xu, Zhe-Ming Yang, Liang He

arXiv.org

DOI

2026

Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models

Jian Yin, Qingyu Chen, Ke-Di Chen, Jie Zhou, Xingjiao Wu, Liang He

arXiv.org

DOI

2026

Can Heterogeneous Language Models Be Fused?

Shilian Chen, Jie Zhou, Qin Chen, Wen Wu, Xin Li, Qifeng Feng, Liang He

arXiv.org

DOI

2026

Agents-K1: Towards Agent-native Knowledge Orchestration

Zong-Sheng Cao, Bihao Zhan, Jinxin Shi, Jiong Wang, Fang-Chen Yu, Zhi-Jie Zhong, Zijie Guo, Tian-Shuo Peng, Zhuo Liu, Yi Xie, Xiang Zhuang, Sheng-Ji Tang, Yue Fan, Run-Min Ma, Shi Feng, Xiang-Yu Yan, Anran Liu, Peng Ye, Wen-Long Zhang, Shu-Fei Zhang, Chun-dong Song, Feng-Hua Ling, Jie Zhou, Liang He, Bo Zhang, Lei Bai

arXiv.org

DOI

2026

From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning

Shihao Zhang, Ziwei Wang, Jie Zhou, Yulan Wu, Qin Chen, Zhi-Kai Lei, Liyang Yu, Liang Dou, Liang He

arXiv.org

DOI

2026

Anything2Skill: Compiling External Knowledge into Reusable Skills for Agents

Qianjun Pan, Yu-Tao Yang, Junsong Li, Jie Zhou, Kaitao Chen, Xin Li, Qingyu Chen, Liang He

arXiv.org

DOI

2026

MemPro: Agentic Memory Systems as Evolvable Programs

Qingshan Liu, Guoqing Wang, Wen Wu, Jing Huang, Xinqi Tao, Dejia Song, Jie Zhou, Liang He

arXiv.org

DOI

2026

Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback

Yu-Tao Yang, Jie Zhou, Junsong Li, Qianjun Pan, Bihao Zhan, Qin Chen, Zhi-Kai Lei, Liang He

Expert systems with applications

DOI

2026

BudgetDraft: Acceptance-Aware Multi-View Training for Sparse-KV Speculative Decoding

Liang He, Jing Wen, Qi Zhan, Yi-Xiong Chen, Kang-Ning Cui, Qi-Zhen Lan, Xi-Lu Wang

arXiv.org

DOI

2026

LLM-KT: Enhancing Large Language Models with Knowledge Tracing via Multi-Level Plug-and-Play Alignment

Ziwei Wang, Jie Zhou, Qin Chen, Bo Jiang, Qing-Chun Bai, Liang Dou, Liang He

Annual Meeting of the Association for Computational Linguistics

DOI

2026

TamEdit: Trajectory-Aware Meta-Learning for Specificity-Preserving Continual Knowledge Editing

Shiqiang Tian, Cheng Ding, Qin Chen, Jie Zhou, Liang He

Annual Meeting of the Association for Computational Linguistics

DOI

2026

PRMB: Benchmarking Reward Models in Long-Horizon CBT-based Counseling Dialogue

Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Liang He

arXiv.org

DOI

2026

Ask Only When Needed: Proactive Retrieval from Memory and Skills for Experience-Driven Lifelong Agents

Yuxuan Cai, Wei Li, Jie Zhou, Qin Chen, Xin Li, Bo Zhang, Liang He

arXiv.org

DOI

2025

说话人验证中基于语音质量的自适应损失函数研究

王佳龙，陈奕豪，许敏强，何亮，方磊

《小型微型计算机系统》

DOI

2025

AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents

Shangheng Du, Xiang-Chao Yan, Dengyang Jiang, Jiakang Yuan, Yusong Hu, Xin Li, Liang He, Bo Zhang, Lei Bai

arXiv.org

DOI

2025

DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction

Jinxin Shi, Zong-Sheng Cao, Run-Min Ma, Yusong Hu, Jie Zhou, Xin Li, Lei Bai, Liang He, Bo Zhang

arXiv.org

DOI

2025

A Survey on the Optimization of Large Language Model-based Agents

Shangheng Du, Jia-Bao Zhao, Jin-Xin Shi, Zhen-Tao Xie, Xin Jiang, Yan-Hong Bai, Liang He

ACM Computing Surveys

DOI

2025

Lark: Low-Rank Updates After Knowledge Localization for Few-Shot Class-Incremental Learning

Jin-Xin Shi, Jia-Bao Zhao, Yifan Yang, Xingjiao Wu, Jiawen Li, Liang He

IEEE International Conference on Computer Vision

DOI

2025

Evaluating the ability of large language models to emulate personality

Yilei Wang, Jia-Bao Zhao, D. Ones, Liang He, Xin Xu

Scientific Reports

DOI

2025

Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning

Bihao Zhan, Jie Zhou, Junsong Li, Yu-Tao Yang, Shilian Chen, Qianjun Pan, Xin Li, Wen Wu, Xingjiao Wu, Qin Chen, Hang Yan, Liang He

arXiv.org

DOI

2025

Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering

Linhao Ye, Lang Yu, Zhi-Kai Lei, Qin Chen, Jie Zhou, Liang He

Annual Meeting of the Association for Computational Linguistics

DOI

2025

Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations

Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Xingjiao Wu, Liang He

arXiv.org

DOI

2025

Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences

Ke-Di Chen, Zhi-Kai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qi-Peng Guo, Kai Chen, Wei Zhang

arXiv.org

DOI

2025

LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction

Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qing-Chun Bai, Liang He

arXiv.org

DOI

2025

DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling

Yougen Zhou, Ningning Zhou, Qin Chen, Jie Zhou, Aimin Zhou, Liang He

arXiv.org

DOI

2025

LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization

Junsong Li, Jie Zhou, Bihao Zhan, Yu-Tao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He

AAAI Conference on Artificial Intelligence

DOI

2025

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

Ke-Di Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Min Xie, Peilong Li, Feng Zheng, Liang He

AAAI Conference on Artificial Intelligence

DOI

2025

CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering

Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qing-Chun Bai, Ze Zhou, Liang He

Computer Vision and Pattern Recognition

DOI

2025

Black-box Model Merging for Language-Model-as-a-Service with Massive Model Repositories

Shilian Chen, Jie Zhou, Tianyu Huai, Yujiang Lu, Junsong Li, Bihao Zhan, Qianjun Pan, Yu-Tao Yang, Xin Li, Qin Chen, Hang Yan, Liang He

arXiv.org

DOI

2025

Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning

Junsong Li, Jie Zhou, Yu-Tao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He

IEEE International Conference on Multimedia and Expo

DOI

2025

A Survey of Inductive Reasoning for Large Language Models

Ke-Di Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xue-Cheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qi-Peng Guo, Xiaomin Shi, Wei Zhang

Annual Meeting of the Association for Computational Linguistics

DOI

2025

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law

Qianjun Pan, Wen-Kai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He

arXiv.org

DOI

2025

EduMate: LLM-Powered Detection of Student Learning Emotions and Efficacy in Semi-structured Counseling

Zhiyan Tie, Qin Chen, Feng Liu, Jie Zhou, Liang He

Natural Language Processing and Chinese Computing

DOI

2025

Task-Core Memory Management and Consolidation for Long-term Continual Learning

Tianyu Huai, Jie Zhou, Yuxuan Cai, Qin Chen, Wen Wu, Xingjiao Wu, Xi-Peng Qiu, Liang He

arXiv.org

DOI

2025

Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark

Yuxuan Cai, Yipeng Hao, Jie Zhou, Hang Yan, Zhi-Kai Lei, Rui Zhen, Zhenhua Han, Yu-Tao Yang, Junsong Li, Qianjun Pan, Tianyu Huai, Qin Chen, Xin Li, Kai Chen, Bo Zhang, Xi-Peng Qiu, Liang He

arXiv.org

DOI

2025

Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models

Ke-Di Chen, Zhi-Kai Lei, Xu Guo, Xue-Cheng Wu, Si-Yuan Zeng, Jia-Peng Yin, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qi-Peng Guo, Kai Chen, Wei Zhang

arXiv.org

DOI

2025

Biological Knowledge Graph-Enhanced Cancer State Prediction Network with Adjustable Connections

Yuhan Liu, Sheng Yi, Xin Chen, Wenjia Guo, Liang He

Big Data Mining and Analytics

DOI

2025

Wav2DF-TSL: Two-stage Learning with Efficient Pre-training and Hierarchical Experts Fusion for Robust Audio Deepfake Detection

Yunqi Hao, Yihao Chen, Minqiang Xu, Jianbo Zhan, Liang He, Lei Fang, Sian Fang, Lin Liu

DOI

2025

Stable Extended U-Net for Noise-Robust Speaker Verification

Zonghui Wang, Zhihua Fang, Liang He

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2024

MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems

Zhen-Tao Xie, Jia-Bao Zhao, Yilei Wang, Jin-Xin Shi, Yan-Hong Bai, Xingjiao Wu, Liang He

European Conference on Artificial Intelligence

DOI

2024

A survey of explainable knowledge tracing

Yan-Hong Bai, Jia-Bao Zhao, Tingjiang Wei, Qing Cai, Liang He

Applied intelligence (Boston)

DOI

2024

FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models

Yan-Hong Bai, Jia-Bao Zhao, Jin-Xin Shi, Zhen-Tao Xie, Xingjiao Wu, Liang He

arXiv.org

DOI

2024

Modeling Comparative Logical Relation with Contrastive Learning for Text Generation

Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He

Natural Language Processing and Chinese Computing

DOI

2024

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

Linhao Ye, Zhi-Kai Lei, Jia-Peng Yin, Qin Chen, Jie Zhou, Liang He

Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

DOI

2024

CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models

Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He

ACM Multimedia

DOI

2024

C-LLM: Learn to Check Chinese Spelling Errors Character by Character

Kunting Li, Yong Hu, Liang He, Fan-Dong Meng, Jie Zhou

Conference on Empirical Methods in Natural Language Processing

DOI

2024

Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis

Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He

International Conference on Language Resources and Evaluation

DOI

2024

Let’s Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models

Shunyu Liu, Jie Zhou, Qun-Xi Zhu, Qin Chen, Qing-Chun Bai, Junhua Xiao, Liang He

International Conference on Language Resources and Evaluation

DOI

2024

Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis

Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuan-Bin Wu, Chengcai Chen, Liang He

Conference on Empirical Methods in Natural Language Processing

DOI

2024

DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models

Ke-Di Chen, Qin Chen, Jie Zhou, Yishen He, Liang He

Conference on Empirical Methods in Natural Language Processing

DOI

2024

Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering

Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He

IEEE International Joint Conference on Neural Network

DOI

2024

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking

Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He

Natural Language Processing and Chinese Computing

DOI

2024

CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification

Jie Zhou, Yuan-Ming Lin, Qin Chen, Qi Zhang, Xuan-Jing Huang, Liang He

IEEE/ACM Transactions on Audio Speech and Language Processing

DOI

2024

A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder

Ke-Di Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He

International Conference on Language Resources and Evaluation

DOI

2024

Recent Advances of Foundation Language Models-based Continual Learning: A Survey

Yu-Tao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Yuan Xie, Liang He

ACM Computing Surveys

DOI

2024

Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching

Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He

International Conference on Information and Knowledge Management

DOI

2024

P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts

Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He

Annual Meeting of the Association for Computational Linguistics

DOI

2024

SMMA-Net: An Audio Clue-Based Target Speaker Extraction Network with Spectrogram Matching and Mutual Attention

Ying Hu, Haitao Xu, Zhongcun Guo, Hao Huang, Liang He

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2024

A Study on Graph Embedding for Speaker Recognition

Liang He, Ruida Li, Mengqi Niu

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2024

A Speaker Recognition Method Based on Stable Learning

Jian Zhang, Jing Ma, Xiaochen Guo, Lin Li, Liang He

IEEE International Conference on Acoustics Speech and Signal Processing

DOI

2023

MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA

Lang Yu, Qin Chen, Jie Zhou, Liang He

AAAI Conference on Artificial Intelligence

DOI

2023

Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction

Zhi-Kai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He

International Conference on Neural Information Processing

DOI

2023

Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog

Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He

IEEE International Conference on Tools with Artificial Intelligence

DOI

2023

Mathematical Language Models: A Survey

Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He

ACM Computing Surveys

DOI

2023

W2VC: WavLM representation based one-shot voice conversion with gradient reversal distillation and CTC supervision

Hao Huang, Lin Wang, Jichen Yang, Ying Hu, Liang He

EURASIP Journal on Audio Speech and Music Processing

DOI

2023

CRA-DIFFUSE: Improved Cross-Domain Speech Enhancement Based on Diffusion Model with T-F Domain Pre-Denoising

Zhibin Qiu, Yachao Guo, Mengfan Fu, Hao Huang, Ying Hu, Liang He, Fuchun Sun

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2023

Speech Topic Classification Based on Pre-trained and Graph Networks

Fangjing Niu, Tengfei Cao, Ying Hu, Hao Huang, Liang He

IEEE International Conference on Multimedia and Expo (ICME)

DOI

2015

基于改进BP神经网络的负性情绪语音识别

刘忠锋，何亮

《温州大学学报(自然科学版)》

2014

基于核函数的IVEC-SVM说话人识别系统研究

栗志意，张卫强，何亮，刘加

《自动化学报》

2014

基于总体变化子空间自适应的i-vector说话人识别系统研究

栗志意，张卫强，何亮，刘加

《自动化学报》

2012

基于TLS-NAP的文本无关说话人识别算法

何亮，杨毅，刘加

《模式识别与人工智能》

2009

基于最大似然线性回归矩阵的说话人识别算法研究

钟山，何亮，邓妍，刘加

《自动化学报》

预印本

2026

TextualRL: Textual Reinforcement Learning for Context Management

Tianyu Huai, Jie Zhou, Bo Mao, Qin Chen, Liang He, Xipeng Qiu

arXiv preprint

2026

AutoMem: A Text-Gradient Recursive Self-Improvement Framework for Automated Memory Architectures Search

Lin Du, Jie Zhou, Yuxuan Cai, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Wei Li, Liang He

arXiv preprint

2026

SkillGym: Internalizing Human Skills into LLMs for Real-World Problem Solving

Zhilong Ge, Yuting Shao, Yutao Yang, Yuxuan Cai, Jie Zhou, Kai Chen, Bo Zhang, Qin Chen, Liang He

arXiv preprint

2026

WEFT: Scaling Tool-Use Post-Training for General-Purpose Agents

Bo Mao, Hang He, Linting Wang, Lizhi Lin, Maosen Zhou, Guanming Liu, Jinxiu Liu, Tianyu Huai, Chaoyun Zhang, Bingxuan Li, Kepeng Lei, Guanting Dong, Zhou Shao, Rui Zheng, Hang Yan, Jie Zhou, Chengcheng Wan, Tao Gui, Liang He, Xipeng Qiu

arXiv preprint

2026

Beyond Correctness: Compute-Responsive Data Selection for Reasoning Model Post-Training

Liang He, Xiangyu Li, Yuxin Wang, Hanbin Zhang, Mingyu Cao, Zhaomiao Guo, Xilu Wang

arXiv preprint

2026

From Relevance to Execution Utility: Reward-Aware Dynamic Execution Gating for Skill-Based LLM Agents

Liang He, Jingbo Wen, Hongyu Gu, Hao Li, Haoyu Wang, Yixiong Chen, Kangning Cui, Xilu Wang

arXiv preprint

2026

MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering

Shangheng Du, Jinxin Shi, Shuaiyu Zhang, Yiming Wu, Junpeng Zhao, Shiyang Feng, Xin Li, Liang He, Xiangchao Yan, Bo Zhang

arXiv preprint

2026

You Cannot Pick a Provider From the Price List: Market-Aware Routing for Open-Weight LLM Inference

Liang He, Jingbo Wen, Yixiong Chen, Yue Yang, Qizhen Lan, Kangning Cui, Xilu Wang

arXiv preprint

2026

PLANE: Plug-and-Play Fine-Grained Visual Experts for Hallucination Mitigation in Large Vision-Language Models

Jianghao Yin, Lang Yu, Qianxi Yu, Qin Chen, Jie Zhou, Zhikai Lei, Liang He

arXiv preprint

2026

Not All Visual Tokens Are Equally Safe to Remove:Consequence-Sensitive Visual Token Compression

Jingbo Wen, Liang He, Mingyu Cao, Haoyu Wang, Minxuan Hu, Kangning Cui, Xilu Wang

arXiv preprint

2026

Behavior Pack Optimization for Video MLLM Post-Training

Zhaolu Kang, Shiyu Liu, Tailong Luo, Wei Zhang, Yingjie He, Lei Wei, Guansu Wang, Liang He, Siheng Wang, Guangyuan Dong, Jiaqi Su, Shuang Chen, Haoyu Ji, Qishi Zhan, Kaiyue Zhou

arXiv preprint

2026

Hyperbolic Additive Margin Softmax with Hierarchical Information for Speaker Verification

Zhihua Fang, Liang He

arXiv preprint

DOI

2026

Spoken Language Identification with Pre-trained Models and Margin Loss

Zhihua Fang, Liang He, Weiwu Jiang

arXiv preprint

DOI

2025

Rethinking Relation Extraction: Beyond Shortcuts to Generalization with a Debiased Benchmark

Liang He, Yougang Chu, Zhen Wu, Jianbing Zhang, Xinyu Dai, Jiajun Chen

arXiv preprint

2025

VS-Singer: Vision-Guided Stereo Singing Voice Synthesis with Consistency Schrödinger Bridge

Zijing Zhao, Kai Wang, Hao Huang, Ying Hu, Liang He, Jichen Yang

arXiv preprint

2025

Denoising GER: A Noise-Robust Generative Error Correction with LLM for Speech Recognition

Yanyan Liu, Minqiang Xu, Yihao Chen, Liang He, Lei Fang, Sian Fang, Lin Liu

arXiv preprint

2025

XM-ALIGN: Unified Cross-Modal Embedding Alignment for Face-Voice Association

Zhihua Fang, Shumei Tao, Junxu Wang, Liang He

arXiv preprint

DOI

2025

HOLA: Enhancing Audio-visual Deepfake Detection via Hierarchical Contextual Aggregations and Efficient Pre-training

Xuecheng Wu, Danlei Huang, Heli Sun, Xinyi Yin, Yifan Wang, Hao Wang, Jia Zhang, Fei Wang, Peihao Guo, Suyu Xing, Junxiao Xue, Liang He

arXiv preprint

2025

Noise Supervised Contrastive Learning and Feature-Perturbed for Anomalous Sound Detection

Shun Huang, Zhihua Fang, Liang He

arXiv preprint

2024

MixRED: A Mix-lingual Relation Extraction Dataset

Lingxing Kong, Yougang Chu, Zheng Ma, Jianbing Zhang, Liang He, Jiajun Chen

arXiv preprint

2024

TEAdapter: Supply abundant guidance for controllable text-to-music generation

Jialing Zou, Jiahao Mei, Xudong Nan, Jinghua Li, Daoguo Dong, Liang He

arXiv preprint

2023

MORE: A Multimodal Object-Entity Relation Extraction Dataset with a Benchmark Evaluation

Liang He, Hongke Wang, Yongchang Cao, Zhen Wu, Jianbing Zhang, Xinyu Dai

arXiv preprint

DOI

2023

Graph Neural Network Backend for Speaker Recognition

Liang He, Ruida Li, Mengqi Niu

arXiv preprint

2023

Reprogramming Self-supervised Learning-based Speech Representations for Speaker Anonymization

Xiaojiao Chen, Sheng Li, Jiyi Li, Hao Huang, Yang Cao, Liang He

arXiv preprint

2023

GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System

Xiaojiao Chen, Sheng Li, Jiyi Li, Hao Huang, Yang Cao, Liang He

arXiv preprint

2022

THUEE system description for NIST 2020 SRE CTS challenge

Yu Zheng, Jinghan Peng, Miao Zhao, Yufeng Ma, Min Liu, Xinyue Ma, Tianyu Liang, Tianlong Kong, Liang He, Minqiang Xu

arXiv preprint

2022

A Graph Isomorphism Network with Weighted Multiple Aggregators for Speech Emotion Recognition

Ying Hu, Yuwu Tang, Hao Huang, Liang He

arXiv preprint

DOI

2022

I4U System Description for NIST SRE'20 CTS Challenge

Kong Aik Lee, Tomi Kinnunen, Daniele Colibro, Claudio Vair, Andreas Nautsch, Hanwu Sun, Liang He, Tianyu Liang, Qiongqiong Wang, Mickael Rouvier, Pierre-Michel Bousquet, Rohan Kumar Das, Ignacio Viñals Bailo, Meng Liu, Héctor Deldago, Xuechen Liu, Md Sahidullah, Sandro Cumani, Boning Zhang, Koji Okabe, Hitoshi Yamamoto, Ruijie Tao, Haizhou Li, Alfonso Ortega Giménez, Longbiao Wang, Luis Buera

arXiv preprint

2022

A Multi-grained based Attention Network for Semi-supervised Sound Event Detection

Ying Hu, Xiujuan Zhu, Yunlong Li, Hao Huang, Liang He

arXiv preprint

DOI

2022

Robust Training for Speaker Verification against Noisy Labels

Zhihua Fang, Liang He, Hanhan Ma, Xiaochen Guo, Lin Li

arXiv preprint

DOI

2020

SEEK: Segmented Embedding of Knowledge Graphs

Wentao Xu, Shun Zheng, Liang He, Bin Shao, Jian Yin, Tie-Yan Liu

arXiv preprint

2019

Latent Class Model with Application to Speaker Diarization

Liang He, Xianhong Chen, Can Xu, Yi Liu, Jia Liu, Michael T Johnson

arXiv preprint

2019

Adaptive Multi-scale Detection of Acoustic Events

Wenhao Ding, Liang He

arXiv preprint

2019

Multi-Scale Time-Frequency Attention for Acoustic Event Detection

Jingyang Zhang, Wenhao Ding, Jintao Kang, Liang He

arXiv preprint

2019

Large Margin Softmax Loss for Speaker Verification

Yi Liu, Liang He, Jia Liu

arXiv preprint

2019

THUEE system description for NIST 2019 SRE CTS Challenge

Yi Liu, Tianyu Liang, Can Xu, Xianwei Zhang, Xianhong Chen, Wei-Qiang Zhang, Liang He, Dandan song, Ruyun Li, Yangcheng Wu, Peng Ouyang, Shouyi Yin

arXiv preprint

2018

Multiobjective Optimization Training of PLDA for Speaker Verification

Liang He, Xianhong Chen, Can Xu, Jia Liu

arXiv preprint

2018

Speaker Embedding Extraction with Phonetic Information

Yi Liu, Liang He, Jia Liu, Michael T. Johnson

arXiv preprint

2018

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

Wenhao Ding, Liang He

arXiv preprint

2018

Exploring a Unified Attention-Based Pooling Framework for Speaker Verification

Yi Liu, Liang He, Weiwei Liu, Jia Liu

arXiv preprint

2017

Investigation of Frame Alignments for GMM-based Digit-prompted Speaker Verification

Yi Liu, Liang He, Weiqiang Zhang, Jia Liu, Michael T. Johnson

arXiv preprint

2017

Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification

Yi Liu, Liang He, Yao Tian, Zhuzi Chen, Jia Liu, Michael T. Johnson

arXiv preprint

研究方向

语音处理知识图谱与智能决策等

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