Liang He - RankMe

415 papers A* 41A 17B 32C 17Misc 16Journal 194Unranked 95

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on the Optimization of Large Language Model-based Agents. ACM Comput. Surv. Shangheng Du, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xin Jiang, Yanhong Bai, Liang He
2026	J	`jnl`	A survey of slow thinking-based reasoning LLMs using reinforcement learning and test-time scaling law. Inf. Process. Manag. Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He
2026	J	`jnl`	ACRA: An adaptive chain retrieval architecture for multi-modal knowledge-Augmented visual question answering. Knowl. Based Syst. Zihao Zhang, Shuwen Yang, Xingjiao Wu, Jiabao Zhao, Qin Chen, Jing Yang, Liang He
2026	J	`jnl`	Adaptive Momentum Mixture-of-Experts for Continual Visual Question Answering. IEEE Trans. Circuits Syst. Video Technol. Tianyu Huai, Jie Zhou, Qin Chen, Qingchun Bai, Ze Zhou, Xipeng Qiu, Liang He
2026	J	`jnl`	AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution. CoRR Yutao Yang, Junsong Li, Qianjun Pan, Bihao Zhan, Yuxuan Cai, Lin Du, Jie Zhou, Kai Chen, Qin Chen, Xin Li, Bo Zhang, Liang He
2026	J	`jnl`	Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models. CoRR Jianghao Yin, Qin Chen, Kedi Chen, Jie Zhou, Xingjiao Wu, Liang He
2026	J	`jnl`	Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks. Expert Syst. Appl. Xin Yi, Yue Li, Dongsheng Shi, Linlin Wang, Xiaoling Wang, Liang He
2026	A*	`conf`	LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization. AAAI Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He
2026	J	`jnl`	MARS: Multimodal-Assisted Refined Semantic Alignment. Inf. Process. Manag. Junjie Xu, Xingjiao Wu, Zihao Zhang, Shuwen Yang, Tianlong Ma, Daoguo Dong, Liang He
2026	J	`jnl`	Mathematical Language Models: A Survey. ACM Comput. Surv. Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He
2026	J	`jnl`	Mimic Human Cognition, Master Multi-Image Reasoning: A Meta-Action Framework for Enhanced Visual Understanding. CoRR Jianghao Yin, Qingbin Li, Kun Sun, Cheng Ding, Jie Wang, Qin Chen, Jie Zhou, Nan Wang, Changqing Li, Pei Wu, Jian Xu, Zheming Yang, Liang He
2026	A*	`conf`	MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs. AAAI Tingjiang Wei, Qin Ni, Rong Gao, Yingying Wang, Liang He
2026	J	`jnl`	PRMB: Benchmarking Reward Models in Long-Horizon CBT-based Counseling Dialogue. CoRR Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Liang He
2026	J	`jnl`	PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor. CoRR Qianjun Pan, Junyi Wang, Jie Zhou, Yutao Yang, Junsong Li, Kaiyin Xu, Yougen Zhou, Yihan Li, Jingyuan Zhao, Qin Chen, Ningning Zhou, Kai Chen, Liang He
2025	A*	`conf`	'Douyin is My Nourishment of the Mind': Exploring the Infrastructuralization Process of Short Video Sharing Platforms From Rural People's Perspective. CHI Yuling Sun, Minglong Tang, Zhicong Lu, Liang He
2025	J	`jnl`	A Dual-Encoder Contrastive Learning Model for Knowledge Tracing. Entropy Yanhong Bai, Xingjiao Wu, Tingjiang Wei, Liang He
2025	J	`jnl`	A Survey of Inductive Reasoning for Large Language Models. CoRR Kedi Chen, Dezhao Ruan, Yuhao Dan, Yaoting Wang, Siyu Yan, Xuecheng Wu, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Biqing Qi, Linyang Li, Qipeng Guo, Xiaoming Shi, Wei Zhang
2025	J	`jnl`	A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law. CoRR Qianjun Pan, Wenkai Ji, Yuyang Ding, Junsong Li, Shilian Chen, Junyi Wang, Jie Zhou, Qin Chen, Min Zhang, Yulan Wu, Liang He
2025	J	`jnl`	A Survey on the Optimization of Large Language Model-based Agents. CoRR Shangheng Du, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xin Jiang, Yanhong Bai, Liang He
2025	B	`conf`	ACE-M³: Automatic Capability Evaluator for Multimodal Medical Models. COLING Xiechi Zhang, Shunfan Zheng, Linlin Wang, Gerard de Melo, Zhu Cao, Xiaoling Wang, Liang He
2025	J	`jnl`	Aesthetic Matters in Music Perception for Image Stylization: A Emotion-driven Music-to-Visual Manipulation. CoRR Junjie Xu, Xingjiao Wu, Tangren Yao, Zihao Zhang, Jiayang Bei, Wen Wu, Liang He
2025	Misc	`conf`	An Interactive Evaluation Framework for Empathetic Response Generation. ICASSP Xixi Lei, Changqun Li, Liang He, Xin Lin
2025	J	`jnl`	AutoMLGen: Navigating Fine-Grained Optimization for Coding Agents. CoRR Shangheng Du, Xiangchao Yan, Dengyang Jiang, Jiakang Yuan, Yusong Hu, Xin Li, Liang He, Bo Zhang, Lei Bai
2025	—	`conf`	AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation. ACL (1) Xiechi Zhang, Zetian Ouyang, Linlin Wang, Gerard de Melo, Zhu Cao, Xiaoling Wang, Ya Zhang, Yanfeng Wang, Liang He
2025	J	`jnl`	AutoMedEval: Harnessing Language Models for Automatic Medical Capability Evaluation. CoRR Xiechi Zhang, Zetian Ouyang, Linlin Wang, Gerard de Melo, Zhu Cao, Xiaoling Wang, Ya Zhang, Yanfeng Wang, Liang He
2025	J	`jnl`	Bidirectional Directed Acyclic Graph Neural Network for Aspect-level Sentiment Classification. ACM Trans. Asian Low Resour. Lang. Inf. Process. Junjie Xu, Luwei Xiao, Anran Wu, Tianlong Ma, Daoguo Dong, Liang He
2025	J	`jnl`	Black-box Model Merging for Language-Model-as-a-Service with Massive Model Repositories. CoRR Shilian Chen, Jie Zhou, Tianyu Huai, Yujiang Lu, Junsong Li, Bihao Zhan, Qianjun Pan, Yutao Yang, Xin Li, Qin Chen, Hang Yan, Liang He
2025	J	`jnl`	Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark. CoRR Yuxuan Cai, Yipeng Hao, Jie Zhou, Hang Yan, Zhikai Lei, Rui Zhen, Zhenhua Han, Yutao Yang, Junsong Li, Qianjun Pan, Tianyu Huai, Qin Chen, Xin Li, Kai Chen, Bo Zhang, Xipeng Qiu, Liang He
2025	A*	`conf`	CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. CVPR Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He
2025	J	`jnl`	CL-MoE: Enhancing Multimodal Large Language Model with Dual Momentum Mixture-of-Experts for Continual Visual Question Answering. CoRR Tianyu Huai, Jie Zhou, Xingjiao Wu, Qin Chen, Qingchun Bai, Ze Zhou, Liang He
2025	A*	`conf`	CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. ACM Multimedia Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He
2025	A*	`conf`	Characterizing LLM-Empowered Personalized Story Reading and Interaction for Children: Insights From Multi-Stakeholder Perspectives. CHI Jiaju Chen, Minglong Tang, Yuxuan Lu, Bingsheng Yao, Elissa Fan, Xiaojuan Ma, Ying Xu, Dakuo Wang, Yuling Sun, Liang He
2025	J	`jnl`	Characterizing LLM-Empowered Personalized Story-Reading and Interaction for Children: Insights from Multi-Stakeholder Perspectives. CoRR Jiaju Chen, Minglong Tang, Yuxuan Lu, Bingsheng Yao, Elissa Fan, Xiaojuan Ma, Ying Xu, Dakuo Wang, Yuling Sun, Liang He
2025	J	`jnl`	Code-Driven Inductive Synthesis: Enhancing Reasoning Abilities of Large Language Models with Sequences. CoRR Kedi Chen, Zhikai Lei, Fan Zhang, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang
2025	J	`jnl`	Code-driven Number Sequence Calculation: Enhancing the inductive Reasoning Abilities of Large Language Models. CoRR Kedi Chen, Zhikai Lei, Xu Guo, Xuecheng Wu, Siyuan Zeng, Jianghao Yin, Yinqi Zhang, Qin Chen, Jie Zhou, Liang He, Qipeng Guo, Kai Chen, Wei Zhang
2025	J	`jnl`	CrayonRobo: Object-Centric Prompt-Driven Vision-Language-Action Model for Robotic Manipulation. CoRR Xiaoqi Li, Lingyun Xu, Mingxu Zhang, Jiaming Liu, Yan Shen, Iaroslav Ponomarenko, Jiahui Xu, Liang He, Siyuan Huang, Shanghang Zhang, Hao Dong
2025	J	`jnl`	Demographic-Guided Behavior Patterns Contrast for Personality Prediction. IEEE Trans. Affect. Comput. Yu Ji, Wen Wu, Hui Lin, Wenxin Hu, Yi Hu, Liang Kang, Xi Chen, Liang He
2025	J	`jnl`	DiaCBT: A Long-Periodic Dialogue Corpus Guided by Cognitive Conceptualization Diagram for CBT-based Psychological Counseling. CoRR Yougen Zhou, Ningning Zhou, Qin Chen, Jie Zhou, Aimin Zhou, Liang He
2025	A*	`conf`	Disentangled Modeling of Preferences and Social Influence for Group Recommendation. AAAI Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He
2025	J	`jnl`	Disentangled Modeling of Preferences and Social Influence for Group Recommendation. CoRR Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He
2025	J	`jnl`	DualResearch: Entropy-Gated Dual-Graph Retrieval for Answer Reconstruction. CoRR Jinxin Shi, Zongsheng Cao, Runmin Ma, Yusong Hu, Jie Zhou, Xin Li, Lei Bai, Liang He, Bo Zhang
2025	Misc	`conf`	Dynamically Causal-Enhanced Exercise Representations for Adaptive Knowledge Tracing. ICASSP Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Jinxin Shi, Liang He
2025	J	`jnl`	Easy-Poly: A Easy Polyhedral Framework For 3D Multi-Object Tracking. CoRR Peng Zhang, Xin Li, Xin Lin, Liang He
2025	—	`conf`	EduMate: LLM-Powered Detection of Student Learning Emotions and Efficacy in Semi-structured Counseling. NLPCC (1) Zhiyan Tie, Qin Chen, Feng Liu, Jie Zhou, Liang He
2025	J	`jnl`	Efficiency is the rule: Domain adaptive semantic segmentation with minimal annotations. Expert Syst. Appl. Tianyu Huai, Junhang Zhang, Xingjiao Wu, Jian Jin, Liang He
2025	—	`conf`	Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. NLPCC (3) Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
2025	J	`jnl`	Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection. CoRR Kedi Chen, Qin Chen, Jie Zhou, Xinqi Tao, Bowen Ding, Jingwen Xie, Mingchen Xie, Peilong Li, Feng Zheng, Liang He
2025	J	`jnl`	Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. CoRR Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria
2025	J	`jnl`	Exploring Cognitive and Aesthetic Causality for Multimodal Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. Luwei Xiao, Rui Mao, Shuai Zhao, Qika Lin, Yanhao Jia, Liang He, Erik Cambria
2025	J	`jnl`	Fine-grained detoxification framework via instance-level prefixes for large language models. Neurocomputing Xin Yi, Linlin Wang, Xiaoling Wang, Liang He
2025	J	`jnl`	Forget What's Sensitive, Remember What Matters: Token-Level Differential Privacy in Memory Sculpting for Continual Learning. CoRR Bihao Zhan, Jie Zhou, Junsong Li, Yutao Yang, Shilian Chen, Qianjun Pan, Xin Li, Wen Wu, Xingjiao Wu, Qin Chen, Hang Yan, Liang He
2025	J	`jnl`	Imagine2Act: Leveraging Object-Action Motion Consistency from Imagined Goals for Robotic Manipulation. CoRR Liang He, Jiadong Xu, Yiwen Wang, Xiaoqi Li, Muhe Cai, Yan Shen, Juan Zhu, Guanghui Ren, Hao Dong
2025	J	`jnl`	Knowledge-aware modeling of group commonality for group recommendation. Expert Syst. Appl. Wen Wu, Guangze Ye, Hui Yu, Wenxin Hu, Xi Chen, Liang He
2025	J	`jnl`	LLM-KT: Aligning Large Language Models with Knowledge Tracing using a Plug-and-Play Instruction. CoRR Ziwei Wang, Jie Zhou, Qin Chen, Min Zhang, Bo Jiang, Aimin Zhou, Qinchun Bai, Liang He
2025	J	`jnl`	Large Language Models have Chain-of-Affective. CoRR Junjie Xu, Xingjiao Wu, Luwei Xiao, Yuzhe Yang, Jie Zhou, Zihao Zhang, Luhan Wang, Yi Huang, Nan Wu, Yingbin Zheng, Chao Yan, Cheng Jin, Honglin Li, Liang He
2025	J	`jnl`	Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks. CoRR Xin Yi, Yue Li, Linlin Wang, Xiaoling Wang, Liang He
2025	J	`jnl`	LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization. CoRR Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He
2025	A*	`conf`	Live-Streaming-Based Dual-Teacher Classes for Equitable Education: Insights and Challenges From Local Teachers' Perspective in Disadvantaged Areas. CHI Yuling Sun, Jiaju Chen, Xiaomu Zhou, Xiaojuan Ma, Bingsheng Yao, Kai Zhang, Liang He, Dakuo Wang
2025	J	`jnl`	MENTOR: A Metacognition-Driven Self-Evolution Framework for Uncovering and Mitigating Implicit Risks in LLMs on Domain Tasks. CoRR Liang Shan, Kaicheng Shen, Wen Wu, Zhenyu Ying, Chaochao Lu, Guangze Ye, Liang He
2025	J	`jnl`	Mitigating Strategy Preference Bias in Emotional Support Conversation via Uncertainty Estimations. CoRR Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Xingjiao Wu, Liang He
2025	J	`jnl`	Mitigating reasoning hallucination through Multi-agent Collaborative Filtering. Expert Syst. Appl. Jinxin Shi, Jiabao Zhao, Xingjiao Wu, Ruyi Xu, Yuan-Hao Jiang, Liang He
2025	J	`jnl`	Multi-MELO: Unified multimodal model editing with dynamic LoRA. Expert Syst. Appl. Qin Chen, Jianghao Yin, Lang Yu, Jie Zhou, Liang He
2025	A*	`conf`	Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences. ICRA Ziang Liu, Junjie Xu, Xingjiao Wu, Jing Yang, Liang He
2025	A*	`conf`	NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning. AAAI Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He
2025	—	`conf`	Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. ACL (1) Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He
2025	J	`jnl`	Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering. CoRR Linhao Ye, Lang Yu, Zhikai Lei, Qin Chen, Jie Zhou, Liang He
2025	—	`conf`	P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts. ACL (Findings) Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
2025	J	`jnl`	Protein-SE(3): Benchmarking SE(3)-based Generative Models for Protein Structure Design. CoRR Lang Yu, Zhangyang Gao, Cheng Tan, Qin Chen, Jie Zhou, Liang He
2025	J	`jnl`	Recent Advances of Foundation Language Models-based Continual Learning: A Survey. ACM Comput. Surv. Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Yuan Xie, Liang He
2025	J	`jnl`	Reinforced Interactive Continual Learning via Real-time Noisy Human Feedback. CoRR Yutao Yang, Jie Zhou, Junsong Li, Qianjun Pan, Bihao Zhan, Qin Chen, Xipeng Qiu, Liang He
2025	J	`jnl`	Rethinking Technological Solutions for Community-Based Older Adult Care: Insights from 'Older Partners' in China. CoRR Yuing Sun, Sam Addison Ankenbauer, Zhifan Guo, Yuchen Chen, Xiaojuan Ma, Liang He
2025	J	`jnl`	Rethinking Technological Solutions for Community-Based Older Adult Care: Insights from 'Older Partners' in China. Proc. ACM Hum. Comput. Interact. Yuling Sun, Sam Addison Ankenbauer, Zhifan Guo, Yuchen Chen, Xiaojuan Ma, Liang He
2025	Misc	`conf`	Supervisor Alignment Framework: Enhancing LLM Alignment with Query-Ignoring Strategy and Multi-Agent Interaction. ICASSP Ziqun Bao, Yu Ji, Wen Wu, Xi Chen, Liang He
2025	J	`jnl`	Task-Core Memory Management and Consolidation for Long-term Continual Learning. CoRR Tianyu Huai, Jie Zhou, Yuxuan Cai, Qin Chen, Wen Wu, Xingjiao Wu, Xipeng Qiu, Liang He
2025	A	`conf`	Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning. ICME Junsong Li, Jie Zhou, Yutao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He
2025	J	`jnl`	Teaching LLMs for Step-Level Automatic Math Correction via Reinforcement Learning. CoRR Junsong Li, Jie Zhou, Yutao Yang, Bihao Zhan, Qianjun Pan, Yuyang Ding, Qin Chen, Jiang Bo, Xin Lin, Liang He
2025	A*	`conf`	Temporal-Conditioned Symbolic Alignment for Controllable Text-to-Music Generation. ACM Multimedia Zihao Zhang, Xingjiao Wu, Junjie Xu, Tianlong Ma, Tangren Yao, Wen Wu, Liang He
2025	J	`jnl`	Unified Attacks to Large Language Model Watermarks: Spoofing and Scrubbing in Unauthorized Knowledge Distillation. CoRR Xin Yi, Shunfan Zheng, Linlin Wang, Xiaoling Wang, Liang He
2025	J	`jnl`	Unified attacks to large language model watermarks: Spoofing and scrubbing in unauthorized knowledge distillation. Knowl. Based Syst. Xin Yi, Yue Li, Shunfan Zheng, Linlin Wang, Xiaoling Wang, Liang He
2025	J	`jnl`	Verbalization diversification for relation extraction with long-tailed entity augmentation. Neurocomputing Yiping Liang, Tianbao Jiang, Xin Yi, Yan Cai, Linlin Wang, Xiaoling Wang, Liang He
2025	J	`jnl`	ViTacFormer: Learning Cross-Modal Representation for Visuo-Tactile Dexterous Manipulation. CoRR Liang He, Haoran Geng, Kaifeng Zhang, Pieter Abbeel, Jitendra Malik
2024	—	`conf`	A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. LREC/COLING Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
2024	J	`jnl`	A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder. CoRR Kedi Chen, Jie Zhou, Qin Chen, Shunyu Liu, Liang He
2024	J	`jnl`	A Review on Machine Theory of Mind. IEEE Trans. Comput. Soc. Syst. Yuanyuan Mao, Shuang Liu, Qin Ni, Xin Lin, Liang He
2024	J	`jnl`	A Survey of Explainable Knowledge Tracing. CoRR Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He
2024	J	`jnl`	A personality-guided preference aggregator for ephemeral group recommendation. Appl. Soft Comput. Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xi Chen, Liang He
2024	J	`jnl`	A safety realignment framework via subspace-oriented model fusion for large language models. CoRR Xin Yi, Shunfan Zheng, Linlin Wang, Xiaoling Wang, Liang He
2024	J	`jnl`	A safety realignment framework via subspace-oriented model fusion for large language models. Knowl. Based Syst. Xin Yi, Shunfan Zheng, Linlin Wang, Xiaoling Wang, Liang He
2024	J	`jnl`	A survey of explainable knowledge tracing. Appl. Intell. Yanhong Bai, Jiabao Zhao, Tingjiang Wei, Qing Cai, Liang He
2024	J	`jnl`	ACE-M CoRR Xiechi Zhang, Shunfan Zheng, Linlin Wang, Gerard de Melo, Zhu Cao, Xiaoling Wang, Liang He
2024	A	`conf`	Artistry in Pixels: FVS - A Framework for Evaluating Visual Elegance and Sentiment Resonance in Generated Images. ICME Weijie Li, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Jiabao Zhao, Liang He
2024	J	`jnl`	Atlantis: Aesthetic-oriented multiple granularities fusion network for joint multimodal aspect-based sentiment analysis. Inf. Fusion Luwei Xiao, Xingjiao Wu, Junjie Xu, Weijie Li, Cheng Jin, Liang He
2024	A*	`conf`	BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. AAAI Yuanyuan Mao, Xin Lin, Qin Ni, Liang He
2024	J	`jnl`	BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning through Theory of Mind. CoRR Yuanyuan Mao, Xin Lin, Qin Ni, Liang He
2024	A*	`conf`	Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. SIGIR Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024	J	`jnl`	Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check. CoRR Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024	—	`conf`	Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. EMNLP (Findings) Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Arlene Chen, Liang He
2024	J	`jnl`	Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis. CoRR Xuanwen Ding, Jie Zhou, Liang Dou, Qin Chen, Yuanbin Wu, Chengcai Chen, Liang He
2024	A	`conf`	Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CIKM Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
2024	J	`jnl`	Boosting Large Language Models with Socratic Method for Conversational Mathematics Teaching. CoRR Yuyang Ding, Hanglei Hu, Jie Zhou, Qin Chen, Bo Jiang, Liang He
2024	J	`jnl`	CAFNet: Context aligned fusion for depth completion. Comput. Vis. Image Underst. Zhichao Fu, Anran Wu, Shuwen Yang, Tianlong Ma, Liang He
2024	J	`jnl`	CMM-Math: A Chinese Multimodal Math Dataset To Evaluate and Enhance the Mathematics Reasoning of Large Multimodal Models. CoRR Wentao Liu, Qianjun Pan, Yi Zhang, Zhuo Liu, Ji Wu, Jie Zhou, Aimin Zhou, Qin Chen, Bo Jiang, Liang He
2024	J	`jnl`	CausalABSC: Causal Inference for Aspect Debiasing in Aspect-Based Sentiment Classification. IEEE ACM Trans. Audio Speech Lang. Process. Jie Zhou, Yuanbiao Lin, Qin Chen, Qi Zhang, Xuanjing Huang, Liang He
2024	—	`conf`	Charting the Uncharted: Building and Analyzing a Multifaceted Chart Question Answering Dataset for Complex Logical Reasoning Process. PRCV (5) Anran Wu, Shuwen Yang, Yujia Xia, Xingjiao Wu, Tianlong Ma, Liang He
2024	A*	`conf`	CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios. EMNLP Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He
2024	J	`jnl`	CliMedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models in Clinical Scenarios. CoRR Zetian Ouyang, Yishuai Qiu, Linlin Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He
2024	A*	`conf`	Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. NeurIPS Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
2024	J	`jnl`	Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving. CoRR Jianbiao Mei, Yukai Ma, Xuemeng Yang, Licheng Wen, Xinyu Cai, Xin Li, Daocheng Fu, Bo Zhang, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
2024	J	`jnl`	Cross-domain document layout analysis using document style guide. Expert Syst. Appl. Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Cheng Jin, Liang He
2024	J	`jnl`	DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction. CoRR Hao Chen, Biaojie Zeng, Xin Lin, Liang He, Aimin Zhou
2024	J	`jnl`	Debiased Visual Question Answering via the perspective of question types. Pattern Recognit. Lett. Tianyu Huai, Shuwen Yang, Junhang Zhang, Jiabao Zhao, Liang He
2024	J	`jnl`	Design and Implementation of the Reliable Learning Style Recognition Mechanism Based on Fusion Labels and Ensemble Classification. IEEE Trans. Learn. Technol. Qin Ni, Yifei Mi, Yonghe Wu, Liang He, Yuhui Xu, Bo Zhang
2024	A*	`conf`	DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. ICLR Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao
2024	—	`conf`	DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. EMNLP (Findings) Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
2024	J	`jnl`	DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models. CoRR Kedi Chen, Qin Chen, Jie Zhou, Yishen He, Liang He
2024	J	`jnl`	DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving. CoRR Xuemeng Yang, Licheng Wen, Yukai Ma, Jianbiao Mei, Xin Li, Tiantian Wei, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yong Liu, Yu Qiao
2024	J	`jnl`	Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking. CoRR Yiyang Gu, Yougen Zhou, Qin Chen, Ningning Zhou, Jie Zhou, Aimin Zhou, Liang He
2024	B	`conf`	Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. IJCNN Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
2024	J	`jnl`	Enhancing Event Causality Identification with Rationale and Structure-Aware Causal Question Answering. CoRR Baiyan Zhang, Qin Chen, Jie Zhou, Jian Jin, Liang He
2024	A	`conf`	Enhancing Out-of-Distribution Generalization in VQA through Gini Impurity-guided Adaptive Margin Loss. ICME Shuwen Yang, Tianyu Huai, Anran Wu, Xingjiao Wu, Wenxin Hu, Liang He
2024	J	`jnl`	Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities. Proc. ACM Hum. Comput. Interact. Yuling Sun, Jiaju Chen, Bingsheng Yao, Jiali Liu, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He
2024	J	`jnl`	Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities. CoRR Yuling Sun, Jiali Liu, Bingsheng Yao, Jiaju Chen, Dakuo Wang, Xiaojuan Ma, Yuxuan Lu, Ying Xu, Liang He
2024	J	`jnl`	FairMonitor: A Dual-framework for Detecting Stereotypes and Biases in Large Language Models. CoRR Yanhong Bai, Jiabao Zhao, Jinxin Shi, Zhentao Xie, Xingjiao Wu, Liang He
2024	—	`conf`	FinHunter: Improved Search-Based Test Generation for Structural Testing of FinTech Systems. SIGSOFT FSE Companion Xuanwen Ding, Qingshun Wang, Dan Liu, Lihua Xu, Jun Xiao, Bojun Zhang, Xue Li, Liang Dou, Liang He, Tao Xie
2024	J	`jnl`	Fine-Grained Detoxification via Instance-Level Prefixes for Large Language Models. CoRR Xin Yi, Linlin Wang, Xiaoling Wang, Liang He
2024	Misc	`conf`	Generating Persona-Aware Empathetic Responses with Retrieval-Augmented Prompt Learning. ICASSP Zhengjie Huang, Pingsheng Liu, Gerard de Melo, Liang He, Linlin Wang
2024	—	`conf`	Hypernetwork-Assisted Parameter-Efficient Fine-Tuning with Meta-Knowledge Distillation for Domain Knowledge Disentanglement. NAACL-HLT (Findings) Changqun Li, Linlin Wang, Xin Lin, Shizhou Huang, Liang He
2024	J	`jnl`	Imaginique Expressions: Tailoring Personalized Short-Text-to-Image Generation Through Aesthetic Assessment and Human Insights. Symmetry Yitian Wan, Luwei Xiao, Xingjiao Wu, Jing Yang, Liang He
2024	—	`conf`	Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. LREC/COLING Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2024	J	`jnl`	Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis. CoRR Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2024	—	`conf`	Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. LREC/COLING Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2024	J	`jnl`	Let's Rectify Step by Step: Improving Aspect-based Sentiment Analysis with Diffusion Models. CoRR Shunyu Liu, Jie Zhou, Qunxi Zhu, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2024	A*	`conf`	MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. AAAI Lang Yu, Qin Chen, Jie Zhou, Liang He
2024	—	`conf`	MGCL: Multi-Granularity Clue Learning for Emotion-Cause Pair Extraction via Cross-Grained Knowledge Distillation. EMNLP (Findings) Yang Yu, Xin Lin, Changqun Li, Shizhou Huang, Liang He
2024	A*	`conf`	MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. AAAI Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He
2024	—	`conf`	MetaESC: Enhancing Emotional Support Conversation through Metacognition. DASFAA (5) Haoming Li, Wen Wu, Yu Ji, Hong Zheng, Liye Shi, Xi Chen, Liang He
2024	A	`conf`	MindScope: Exploring Cognitive Biases in Large Language Models Through Multi-Agent Systems. ECAI Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He
2024	J	`jnl`	MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems. CoRR Zhentao Xie, Jiabao Zhao, Yilei Wang, Jinxin Shi, Yanhong Bai, Xingjiao Wu, Liang He
2024	—	`conf`	Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. NLPCC (4) Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
2024	J	`jnl`	Modeling Comparative Logical Relation with Contrastive Learning for Text Generation. CoRR Yuhao Dan, Junfeng Tian, Jie Zhou, Ming Yan, Ji Zhang, Qin Chen, Liang He
2024	J	`jnl`	Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generation. CoRR Kaiyuan Liu, Jiahao Mei, Hengyu Zhang, Yihuai Zhang, Xingjiao Wu, Daoguo Dong, Liang He
2024	J	`jnl`	Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences. CoRR Ziang Liu, Junjie Xu, Xingjiao Wu, Jing Yang, Liang He
2024	J	`jnl`	NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning. CoRR Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He
2024	J	`jnl`	P-Tailor: Customizing Personality Traits for Language Models via Mixture of Specialized LoRA Experts. CoRR Yuhao Dan, Jie Zhou, Qin Chen, Junfeng Tian, Liang He
2024	J	`jnl`	PI-Fed: Continual Federated Learning With Parameter-Level Importance Aggregation. IEEE Internet Things J. Lang Yu, Lina Ge, Guanghui Wang, Jianghao Yin, Qin Chen, Jie Zhou, Liang He
2024	J	`jnl`	Personality-driven experience storage and retrieval for sentiment classification. J. Supercomput. Yu Ji, Wen Wu, Yi Hu, Xi Chen, Wenxin Hu, Liang He
2024	—	`ed.`	Proceedings of the 2nd International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, McGE 2024, Melbourne, VIC, Australia, 28 October 2024 - 1 November 2024 McGE@MM Cheng Jin, Liang He, Mingli Song, Rui Wang
2024	J	`jnl`	Recent Advances of Foundation Language Models-based Continual Learning: A Survey. CoRR Yutao Yang, Jie Zhou, Xuanwen Ding, Tianyu Huai, Shunyu Liu, Qin Chen, Liang He, Yuan Xie
2024	—	`conf`	Refined and Locality-Enhanced Feature for Handwritten Mathematical Expression Recognition. PRCV (7) Liu Yu, Xiangcheng Du, Ziang Liu, Daoguo Dong, Liang He
2024	J	`jnl`	Robust depth completion based on Semantic Aggregation. Appl. Intell. Zhichao Fu, Xin Li, Tianyu Huai, Weijie Li, Daoguo Dong, Liang He
2024	—	`conf`	Scenarios-aware Commonsense Correcton via Instance-level Knowledge Injection. DASFAA (5) Xin Yi, Linlin Wang, Xiaoling Wang, Liang He
2024	J	`jnl`	Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation. Inf. Process. Manag. Feng Gao, Yan Yang, Peng Gao, Ming Gu, Shangqing Zhao, Yuefeng Chen, Hao Yuan, Man Lan, Aimin Zhou, Liang He
2024	J	`jnl`	Simple contrastive learning in a self-supervised manner for robust visual question answering. Comput. Vis. Image Underst. Shuwen Yang, Luwei Xiao, Xingjiao Wu, Junjie Xu, Linlin Wang, Liang He
2024	J	`jnl`	UniQRNet: Unifying Referring Expression Grounding and Segmentation with QRNet. ACM Trans. Multim. Comput. Commun. Appl. Jiabo Ye, Junfeng Tian, Ming Yan, Haiyang Xu, Qinghao Ye, Yaya Shi, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
2024	A	`conf`	VG-Annotator: Vision-Language Models as Query Annotators for Unsupervised Visual Grounding. ICME Jiabo Ye, Junfeng Tian, Xiaoshan Yang, Zhenru Zhang, Anwen Hu, Ming Yan, Ji Zhang, Liang He, Xin Lin
2024	—	`conf`	Vanessa: Visual Connotation and Aesthetic Attributes Understanding Network for Multimodal Aspect-based Sentiment Analysis. EMNLP (Findings) Luwei Xiao, Rui Mao, Xulang Zhang, Liang He, Erik Cambria
2024	J	`jnl`	Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China. CoRR Yuling Sun, Xiuqi Zhu, Xiaomu Zhou, Bingsheng Yao, Kai Zhang, Dakuo Wang, Jiaju Chen, Liang He
2023	J	`jnl`	3D Multiple Object Tracking on Autonomous Driving: A Literature Review. CoRR Peng Zhang, Xin Li, Liang He, Xin Lin
2023	A*	`conf`	A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation. AAAI Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He
2023	—	`conf`	A Dynamic Composite Ensemble Learning Framework for Multi-Stage Dementia Prediction. BIBM Bangyan Li, Junyan Mao, Xingjiao Wu, Yuling Sun, Liang He
2023	J	`jnl`	A Review on Machine Theory of Mind. CoRR Yuanyuan Mao, Shuang Liu, Pengshuai Zhao, Qin Ni, Xin Lin, Liang He
2023	A*	`conf`	Black-box Prompt Tuning for Vision-Language Model as a Service. IJCAI Lang Yu, Qin Chen, Jiaju Lin, Liang He
2023	J	`jnl`	CGMI: Configurable General Multi-Agent Interaction Framework. CoRR Jinxin Shi, Jiabao Zhao, Yilei Wang, Xingjiao Wu, Jiawen Li, Liang He
2023	J	`jnl`	Care Workers' Wellbeing in Data-Driven Healthcare Workplace: Identity, Agency, and Social Justice. Proc. ACM Hum. Comput. Interact. Yuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang He
2023	J	`jnl`	Cross-modal fine-grained alignment and fusion network for multimodal aspect-based sentiment analysis. Inf. Process. Manag. Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Jie Zhou, Liang He
2023	J	`jnl`	DCQA: Document-Level Chart Question Answering towards Complex Reasoning and Common-Sense Understanding. CoRR Anran Wu, Luwei Xiao, Xingjiao Wu, Shuwen Yang, Junjie Xu, Zisong Zhuang, Nian Xie, Cheng Jin, Liang He
2023	J	`jnl`	DRFN: A unified framework for complex document layout analysis. Inf. Process. Manag. Xingjiao Wu, Tianlong Ma, Xiangcheng Du, Ziling Hu, Jing Yang, Liang He
2023	J	`jnl`	Data Work of Frontline Care Workers: Practices, Problems, and Opportunities in the Context of Data-Driven Long-Term Care. Proc. ACM Hum. Comput. Interact. Yuling Sun, Xiaojuan Ma, Silvia Lindtner, Liang He
2023	A*	`conf`	DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. ICCV Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li
2023	J	`jnl`	DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. CoRR Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li
2023	J	`jnl`	DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models. CoRR Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao
2023	A*	`conf`	Disentangled CVAEs with Contrastive Learning for Explainable Recommendation. AAAI Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He
2023	A	`conf`	Dual-Expert Distillation Network for Few-Shot Segmentation. ICME Junhang Zhang, Zisong Zhuang, Luwei Xiao, Xingjiao Wu, Tianlong Ma, Liang He
2023	J	`jnl`	EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education. CoRR Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie Zhou, Liang He, Xipeng Qiu
2023	J	`jnl`	Evaluating the Performance of Large Language Models on GAOKAO Benchmark. CoRR Xiaotian Zhang, Chunyang Li, Yi Zong, Zhengyu Ying, Liang He, Xipeng Qiu
2023	J	`jnl`	FairBench: A Four-Stage Automatic Framework for Detecting Stereotypes and Biases in Large Language Models. CoRR Yanhong Bai, Jiabao Zhao, Jinxin Shi, Tingjiang Wei, Xingjiao Wu, Liang He
2023	J	`jnl`	HHSKT: A learner-question interactions based heterogeneous graph neural network model for knowledge tracing. Expert Syst. Appl. Qin Ni, Tingjiang Wei, Jiabao Zhao, Liang He, Chanjin Zheng
2023	A*	`conf`	HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. ICLR Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang
2023	B	`conf`	Image Alone Are Not Enough: A General Semantic-Augmented Transformer-Based Framework for Image Captioning. IJCNN Jiawei Liu, Xin Lin, Liang He
2023	—	`conf`	Informative Prompt Learning for Low-Shot Commonsense Question Answering via Fine-Grained Redundancy Reduction. ICONIP (14) Zhikai Lei, Jie Zhou, Qin Chen, Qi Zhang, Liang He
2023	J	`jnl`	Is ChatGPT a Good Personality Recognizer? A Preliminary Study. CoRR Yu Ji, Wen Wu, Hong Zheng, Yi Hu, Xi Chen, Liang He
2023	A*	`conf`	LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross- Modal Fusion. CVPR Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He
2023	J	`jnl`	LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion. CoRR Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He
2023	J	`jnl`	Long-tail session-based recommendation from calibration. Appl. Intell. Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He
2023	J	`jnl`	MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA. CoRR Lang Yu, Qin Chen, Jie Zhou, Liang He
2023	J	`jnl`	Mathematical Language Models: A Survey. CoRR Wentao Liu, Hanglei Hu, Jie Zhou, Yuyang Ding, Junsong Li, Jiayi Zeng, Mengliang He, Qin Chen, Bo Jiang, Aimin Zhou, Liang He
2023	A*	`conf`	McGE '23: 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice. ACM Multimedia Cheng Jin, Liang He, Mingli Song, Rui Wang
2023	J	`jnl`	MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models. CoRR Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He
2023	J	`jnl`	Metacognition-Enhanced Few-Shot Prompting With Positive Reinforcement. CoRR Yu Ji, Wen Wu, Yi Hu, Hong Zheng, Liang He
2023	B	`conf`	Modeling Intra- and Inter-Modal Alignment with Optimal Transport for Visual Dialog. ICTAI Renjie Zheng, Qin Chen, Jie Zhou, Junfeng Tian, Liang He
2023	J	`jnl`	Multi-modal multi-hop interaction network for dialogue response generation. Expert Syst. Appl. Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Ming Yan, Liang He, Xuanjing Huang
2023	A*	`conf`	Optimizing Graph Partition by Optimal Vertex-Cut: A Holistic Approach. ICDE Wenwen Qu, Weixi Zhang, Ji Cheng, Chaorui Zhang, Wei Han, Bo Bai, Chen Jason Zhang, Liang He, Xiaoling Wang
2023	—	`conf`	PCDialogEval: Persona and Context Aware Emotional Dialogue Evaluation. ICANN (9) Yuxi Feng, Linlin Wang, Zhu Cao, Liang He
2023	J	`jnl`	PEGA: Personality-Guided Preference Aggregator for Ephemeral Group Recommendation. CoRR Guangze Ye, Wen Wu, Liye Shi, Wenxin Hu, Xin Chen, Liang He
2023	J	`jnl`	Personality-assisted mood modeling with historical reviews for sentiment classification. Inf. Sci. Yu Ji, Wen Wu, Yi Hu, Xi Chen, Jiayi Chen, Wenxin Hu, Liang He
2023	—	`ed.`	Proceedings of the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice, McGE 2023, Ottawa, ON, Canada, 29 October 2023 MCGE@MM Cheng Jin, Liang He, Mingli Song, Rui Wang
2023	J	`jnl`	Progressive Evidence Refinement for Open-domain Multimodal Retrieval Question Answering. CoRR Shuwen Yang, Anran Wu, Xingjiao Wu, Luwei Xiao, Tianlong Ma, Cheng Jin, Liang He
2023	Misc	`conf`	Pseudo-Query Generation For Semi-Supervised Visual Grounding With Knowledge Distillation. ICASSP Jianglin Jin, Jiabo Ye, Xin Lin, Liang He
2023	J	`jnl`	SMAR: Summary-Aware Multi-Aspect Recommendation. Neurocomputing Liye Shi, Wen Wu, Jiayi Chen, Wenxin Hu, Wei Zheng, Xi Chen, Liang He
2023	A	`conf`	SQT: Debiased Visual Question Answering via Shuffling Question Types. ICME Tianyu Huai, Shuwen Yang, Junhang Zhang, Guoan Wang, Xinru Yu, Tianlong Ma, Liang He
2023	Misc	`conf`	Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. ICASSP Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2023	J	`jnl`	Tell Model Where to Attend: Improving Interpretability of Aspect-Based Sentiment Classification via Small Explanation Annotations. CoRR Zhenxiao Cheng, Jie Zhou, Wen Wu, Qin Chen, Liang He
2023	J	`jnl`	Towards Knowledge-driven Autonomous Driving. CoRR Xin Li, Yeqi Bai, Pinlong Cai, Licheng Wen, Daocheng Fu, Bo Zhang, Xuemeng Yang, Xinyu Cai, Tao Ma, Jianfei Guo, Xing Gao, Min Dou, Yikang Li, Botian Shi, Yong Liu, Liang He, Yu Qiao
2023	J	`jnl`	UMAAF: Unveiling Aesthetics via Multifarious Attributes of Images. CoRR Weijie Li, Yitian Wan, Xingjiao Wu, Junjie Xu, Cheng Jin, Liang He
2023	—	`conf`	UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. EMNLP (Findings) Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Lin, Fei Huang
2023	J	`jnl`	UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model. CoRR Jiabo Ye, Anwen Hu, Haiyang Xu, Qinghao Ye, Ming Yan, Guohai Xu, Chenliang Li, Junfeng Tian, Qi Qian, Ji Zhang, Qin Jin, Liang He, Xin Alex Lin, Fei Huang
2023	Misc	`conf`	Uncertainty-Aware Few-Shot Class-Incremental Learning. ICASSP Jiancai Zhu, Jiabao Zhao, Jiayi Zhou, Liang He, Jing Yang, Zhi Zhang
2022	B	`conf`	3D Clues Guided Convolution for Depth Completion. ICIP Shuwen Yang, Zhichao Fu, Xingjiao Wu, Xiangcheng Du, Tianlong Ma, Liang He
2022	B	`conf`	A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. IJCNN Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2022	J	`jnl`	A Knowledge-Enhanced Adversarial Model for Cross-lingual Structured Sentiment Analysis. CoRR Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2022	B	`conf`	A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. COLING Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
2022	J	`jnl`	A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck. CoRR Jie Zhou, Qi Zhang, Qin Chen, Liang He, Xuanjing Huang
2022	J	`jnl`	A survey of human-in-the-loop for machine learning. Future Gener. Comput. Syst. Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He
2022	B	`conf`	Abstractive Dialogue Summarization Based on Dynamic Pattern Exploiting Training. IJCNN Zhanyi Chen, Changqun Li, Linlin Wang, Liang He
2022	A	`conf`	Adaptive Multi-Feature Extraction Graph Convolutional Networks for Multimodal Target Sentiment Analysis. ICME Luwei Xiao, Ejian Zhou, Xingjiao Wu, Shuwen Yang, Tianlong Ma, Liang He
2022	B	`conf`	An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. COLING Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
2022	J	`jnl`	An Information Minimization Based Contrastive Learning Model for Unsupervised Sentence Embeddings Learning. CoRR Shaobin Chen, Jie Zhou, Yuling Sun, Liang He
2022	—	`conf`	Automatic Personality Prediction Based on Users' Chinese Handwriting Change. ChineseCSCW (2) Yu Ji, Wen Wu, Yi Hu, Xiaofeng He, Changzhi Chen, Liang He
2022	—	`conf`	BPGG: Bidirectional Prototype Generation and Guidance Network for Few-Shot Anomaly Localization. ICANN (3) Junhang Zhang, Zisong Zhuang, Junjie Xu, Tianlong Ma, Liang He
2022	J	`jnl`	C3SASR: Cheap Causal Convolutions for Self-Attentive Sequential Recommendation. CoRR Jiayi Chen, Wen Wu, Liye Shi, Yu Ji, Wenxin Hu, Xi Chen, Wei Zheng, Liang He
2022	A*	`conf`	CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. IJCAI Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
2022	J	`jnl`	CUP: Curriculum Learning based Prompt Tuning for Implicit Event Argument Extraction. CoRR Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
2022	J	`jnl`	Cross-Domain Document Layout Analysis via Unsupervised Document Style Guide. CoRR Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Yingbin Zheng, Xin Li, Tianlong Ma, Liang He
2022	A*	`conf`	Curriculum Prompt Learning with Self-Training for Abstractive Dialogue Summarization. EMNLP Changqun Li, Linlin Wang, Xin Lin, Gerard de Melo, Liang He
2022	J	`jnl`	DACSR: Dual-Aggregation End-to-End Calibrated Sequential Recommendation. CoRR Jiayi Chen, Wen Wu, Liye Shi, Wei Zheng, Liang He
2022	B	`conf`	Depth Completion via A Dual-Fusion Method. ICPR Shuwen Yang, Luwei Xiao, Junhang Zhang, Zhichao Fu, Tianlong Ma, Liang He
2022	B	`conf`	Document Layout Analysis Via Positional Encoding. ICIP Ejian Zhou, Xingjiao Wu, Luwei Xiao, Xiangcheng Du, Tianlong Ma, Liang He
2022	J	`jnl`	DualGCN: An Aspect-Aware Dual Graph Convolutional Network for review-based recommender. Knowl. Based Syst. Liye Shi, Wen Wu, Wenxin Hu, Jie Zhou, Jiayi Chen, Wei Zheng, Liang He
2022	—	`conf`	ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis. SemEval@NAACL Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Jun Xiao, Liang He
2022	J	`jnl`	Edge-aware deep image deblurring. Neurocomputing Zhichao Fu, Yingbin Zheng, Tianlong Ma, Hao Ye, Jing Yang, Liang He
2022	Misc	`conf`	Enhancing Class Understanding Via Prompt-Tuning For Zero-Shot Text Classification. ICASSP Yuhao Dan, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
2022	A*	`conf`	Enhancing Event-Level Sentiment Analysis with Structured Arguments. SIGIR Qi Zhang, Jie Zhou, Qin Chen, Qingchun Bai, Liang He
2022	J	`jnl`	Enhancing Event-Level Sentiment Analysis with Structured Arguments. CoRR Qi Zhang, Jie Zhou, Qin Chen, Qinchun Bai, Liang He
2022	B	`conf`	Graph Convolution over the Semantic-syntactic Hybrid Graph Enhanced by Affective Knowledge for Aspect-level Sentiment Classification. IJCNN Junjie Xu, Shuwen Yang, Luwei Xiao, Zhichao Fu, Xingjiao Wu, Tianlong Ma, Liang He
2022	—	`conf`	Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection. ECCV (38) Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He
2022	J	`jnl`	Homogeneous Multi-modal Feature Fusion and Interaction for 3D Object Detection. CoRR Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He
2022	J	`jnl`	Inferring substitutable and complementary products with Knowledge-Aware Path Reasoning based on dynamic policy network. Knowl. Based Syst. Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He
2022	J	`jnl`	Investigating Crowdworkers' Identify, Perception and Practices in Micro-Task Crowdsourcing. Proc. ACM Hum. Comput. Interact. Yuling Sun, Xiaojuan Ma, Kai Ye, Liang He
2022	—	`conf`	Knowledge-Enhanced Multi-task Learning for Course Recommendation. DASFAA (2) Qimin Ban, Wen Wu, Wenxin Hu, Hui Lin, Wei Zheng, Liang He
2022	B	`conf`	Learner Profile based Knowledge Tracing. IJCNN Xinghai Zheng, Qimin Ban, Wen Wu, Jiayi Chen, Jun Xiao, Lamei Wang, Wei Zheng, Liang He
2022	Misc	`conf`	Multi-Channel Attentive Graph Convolutional Network with Sentiment Fusion for Multimodal Sentiment Analysis. ICASSP Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He
2022	—	`conf`	Multi-Scale Distribution Deep Variational Autoencoder for Explanation Generation. ACL (Findings) Zefeng Cai, Linlin Wang, Gerard de Melo, Fei Sun, Liang He
2022	J	`jnl`	Multi-channel Attentive Graph Convolutional Network With Sentiment Fusion For Multimodal Sentiment Analysis. CoRR Luwei Xiao, Xingjiao Wu, Wen Wu, Jing Yang, Liang He
2022	J	`jnl`	PG-RNN: using position-gated recurrent neural networks for aspect-based sentiment classification. J. Supercomput. Qingchun Bai, Jie Zhou, Liang He
2022	B	`conf`	PGTNet: Prototype Guided Transfer Network for Few-Shot Anomaly Localization. ICIP Zisong Zhuang, Junhang Zhang, Luwei Xiao, Tianlong Ma, Liang He
2022	—	`conf`	PMAR: Multi-aspect Recommendation Based on Psychological Gap. DASFAA (2) Liye Shi, Wen Wu, Yu Ji, Luping Feng, Liang He
2022	—	`conf`	Prompt Enhanced Generative MRC Framework for Pancreatic Cancer NER. BIBM Zhendong Tan, Yan Yang, Bo Li, Beilei Wang, Gang Jin, Chengcai Chen, Liang He
2022	J	`jnl`	SENGR: Sentiment-Enhanced Neural Graph Recommender. Inf. Sci. Liye Shi, Wen Wu, Wang Guo, Wenxin Hu, Jiayi Chen, Wei Zheng, Liang He
2022	A*	`conf`	Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CVPR Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
2022	J	`jnl`	Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. CoRR Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
2022	B	`conf`	Unexp-DIN: Unexpected Deep Interest Network for Recommendation. IJCNN Hongyang Zhou, Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He
2021	—	`conf`	A Coarse-to-fine Approach for Fast Super-Resolution with Flexible Magnification. MMAsia Zhichao Fu, Tianlong Ma, Liang Xue, Yingbin Zheng, Hao Ye, Liang He
2021	J	`jnl`	A Survey of Human-in-the-loop for Machine Learning. CoRR Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He
2021	J	`jnl`	Aligned variational autoencoder for matching danmaku and video storylines. Neurocomputing Qingchun Bai, Yuanbin Wu, Jie Zhou, Liang He
2021	—	`conf`	An Argument Extraction Decoder in Open Information Extraction. ECIR (1) Yucheng Li, Yan Yang, Qinmin Hu, Chengcai Chen, Liang He
2021	—	`conf`	Attending via both Fine-tuning and Compressing. ACL/IJCNLP (Findings) Jie Zhou, Yuanbin Wu, Qin Chen, Xuanjing Huang, Liang He
2021	Misc	`conf`	Cross-Modal Knowledge Distillation For Fine-Grained One-Shot Classification. ICASSP Jiabao Zhao, Xin Lin, Yifan Yang, Jing Yang, Liang He
2021	C	`conf`	Design Considerations for Information Collaboration in Long-term Senior Care System. CSCWD Qingyu Xu, Yuling Sun, Liang He
2021	A	`conf`	Document Layout Analysis via Dynamic Residual Feature Fusion. ICME Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He
2021	J	`jnl`	Document Layout Analysis via Dynamic Residual Feature Fusion. CoRR Xingjiao Wu, Ziling Hu, Xiangcheng Du, Jing Yang, Liang He
2021	J	`jnl`	Document image layout analysis via explicit edge embedding network. Inf. Sci. Xingjiao Wu, Yingbin Zheng, Tianlong Ma, Hao Ye, Liang He
2021	—	`conf`	ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline. SemEval@ACL/IJCNLP Jiaju Lin, Jing Ling, Zhiwei Wang, Jiawei Liu, Qin Chen, Liang He
2021	—	`conf`	ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP Pingsheng Liu, Linlin Wang, Qian Zhao, Hao Chen, Yuxi Feng, Xin Lin, Liang He
2021	A*	`conf`	Ego-Deliver: A Large-Scale Dataset For Egocentric Video Analysis. ACM Multimedia Haonan Qiu, Pan He, Shuchun Liu, Weiyuan Shao, Feiyun Zhang, Jiajun Wang, Liang He, Feng Wang
2021	B	`conf`	Employer-Employee Network for Conversational Recommendation. IJCNN Zijing Yang, Xin Lin, Linlin Wang, Liang He, Yixin Chen, Zhaohui Yang
2021	J	`jnl`	Entity-level sentiment prediction in Danmaku video interaction. J. Supercomput. Qingchun Bai, Kai Wei, Jie Zhou, Chao Xiong, Yuanbin Wu, Xin Lin, Liang He
2021	A*	`conf`	FinFuzzer: One Step Further in Fuzzing Fintech Systems. ASE Qingshun Wang, Lihua Xu, Jun Xiao, Qi Guo, Haotian Zhang, Liang Dou, Liang He, Tao Xie
2021	J	`jnl`	Human-In-The-Loop Document Layout Analysis. CoRR Xingjiao Wu, Tianlong Ma, Xin Li, Qin Chen, Liang He
2021	J	`jnl`	Inferring Substitutable and Complementary Products with Knowledge-Aware Path Reasoning based on Dynamic Policy Network. CoRR Zijing Yang, Jiabo Ye, Linlin Wang, Xin Lin, Liang He
2021	A	`conf`	Is "hot pizza" Positive or Negative? Mining Target-aware Sentiment Lexicons. EACL Jie Zhou, Yuanbin Wu, Changzhi Sun, Liang He
2021	—	`conf`	KERS: A Knowledge-Enhanced Framework for Recommendation Dialog Systems with Multiple Subgoals. EMNLP (Findings) Jun Zhang, Yan Yang, Chencai Chen, Liang He, Zhou Yu
2021	J	`jnl`	Long-Tail Session-based Recommendation from Calibration. CoRR Jiayi Chen, Wen Wu, Wei Zheng, Liang He
2021	A*	`conf`	Looking Wider for Better Adaptive Representation in Few-Shot Learning. AAAI Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He
2021	J	`jnl`	MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis. Neurocomputing Jie Zhou, Jiabao Zhao, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2021	B	`conf`	Multi -Turn Response Selection with Temporal Gated Graph Convolutional Networks. IJCNN Siyu Tao, Qian Zhao, Linlin Wang, Liang He
2021	A*	`conf`	One-Stage Visual Grounding via Semantic-Aware Feature Filter. ACM Multimedia Jiabo Ye, Xin Lin, Liang He, Dingbang Li, Qin Chen
2021	B	`conf`	SSR: Explainable Session-based Recommendation. IJCNN Jiayi Chen, Wen Wu, Wenxin Hu, Wei Zheng, Liang He
2021	C	`conf`	Working with Few Samples: Methods that Help Analyze Social Attitude and Personal Emotion. CSCWD Mengwen Liang, Jie Zhou, Yuling Sun, Liang He
2020	Misc	`conf`	A Real-Time Deep Network for Crowd Counting. ICASSP Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He
2020	J	`jnl`	A Real-Time Deep Network for Crowd Counting. CoRR Xiaowen Shi, Xin Li, Caili Wu, Shuchen Kong, Jing Yang, Liang He
2020	J	`jnl`	Answering range-based reverse kNN and why-not reverse kNN queries. Frontiers Comput. Sci. Zhefan Zhong, Xin Lin, Liang He
2020	J	`jnl`	Counting crowds with varying densities via adaptive scenario discovery framework. Neurocomputing Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Tianlong Ma, Jing Yang, Liang He
2020	J	`jnl`	DAFA: Dialog System Domain Adaptation With a Filter and an Amplifier. IEEE Access Jianfeng Yu, Yan Yang, Chengcai Chen, Liang He, Zhou Yu
2020	A	`conf`	Dual Focus Attention Network For Video Emotion Recognition. ICME Haonan Qiu, Liang He, Feng Wang
2020	—	`conf`	ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. SemEval@COLING Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
2020	J	`jnl`	ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation. CoRR Qian Zhao, Siyu Tao, Jie Zhou, Linlin Wang, Xin Lin, Liang He
2020	J	`jnl`	Fast video crowd counting with a Temporal Aware Network. Neurocomputing Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
2020	J	`jnl`	Feature channel enhancement for crowd counting. IET Image Process. Xingjiao Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
2020	—	`conf`	Generating Emotional Social Chatbot Responses with a Consistent Speaking Style. NLPCC (2) Jun Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu
2020	J	`jnl`	Is position important? deep multi-task learning for aspect-based sentiment analysis. Appl. Intell. Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	A	`conf`	Knowledge-Based Fine-Grained Classification For Few-Shot Learning. ICME Jiabao Zhao, Xin Lin, Jie Zhou, Jing Yang, Liang He, Zhaohui Yang
2020	B	`conf`	Margin Guidance Network for Arbitrary-shaped Scene Text Detection. ICTAI Xin Li, Xingjiao Wu, Tianlong Ma, Zhao Zhou, Luhui Chen, Liang He
2020	—	`conf`	Modeling Multi-aspect Relationship with Joint Learning for Aspect-Level Sentiment Classification. DASFAA (1) Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	A*	`conf`	Optimizing Knowledge Graphs through Voting-based User Feedback. ICDE Ruida Yang, Xin Lin, Jianliang Xu, Yan Yang, Liang He
2020	J	`jnl`	Position-aware hierarchical transfer model for aspect-level sentiment classification. Inf. Sci. Jie Zhou, Qin Chen, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	J	`jnl`	Retrieval-Polished Response Generation for Chatbot. IEEE Access Liang Zhang, Yan Yang, Jie Zhou, Chengcai Chen, Liang He
2020	A*	`conf`	SAS: Dialogue State Tracking via Slot Attention and Slot Information Sharing. ACL Jiaying Hu, Yan Yang, Chencai Chen, Liang He, Zhou Yu
2020	J	`jnl`	SK-GCN: Modeling Syntax and Knowledge via Graph Convolutional Network for aspect-level sentiment classification. Knowl. Based Syst. Jie Zhou, Jimmy Xiangji Huang, Qinmin Vivian Hu, Liang He
2020	Misc	`conf`	Scene Text Recognition with Temporal Convolutional Encoder. ICASSP Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He
2020	B	`conf`	SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis. COLING Jie Zhou, Junfeng Tian, Rui Wang, Yuanbin Wu, Wenming Xiao, Liang He
2020	B	`conf`	TERG: Topic-Aware Emotional Response Generation for Chatbot. IJCNN Pei Huo, Yan Yang, Jie Zhou, Chengcai Chen, Liang He
2020	B	`conf`	TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos. ICTAI Jiayi Chen, Wen Wu, Wenxin Hu, Liang He
2020	J	`jnl`	Two-stage sentiment classification based on user-product interactive information. Knowl. Based Syst. Yu Ji, Wen Wu, Shiyun Chen, Qin Chen, Wenxin Hu, Liang He
2019	B	`conf`	A Crowdsourcing Based Human-in-the-Loop Framework for Denoising UUs in Relation Extraction Tasks. IJCNN Mengting Li, Jian Jin, Wen Wu, Yan Yang, Liang He, Jing Yang
2019	C	`conf`	A Social Network Engaged Crowdsourcing Framework for Expert Tasks. CSCWD Miaomiao Gong, Yuling Sun, Liang He
2019	Misc	`conf`	Adaptive Scenario Discovery for Crowd Counting. ICASSP Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
2019	—	`conf`	Aggregating Rich Deep Semantic Features for Fine-Grained Place Classification. ICANN (3) Tingyu Wei, Wenxin Hu, Xingjiao Wu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
2019	J	`jnl`	Answering why-not questions on KNN queries. Frontiers Comput. Sci. Zhefan Zhong, Xin Lin, Liang He, Jing Yang
2019	B	`conf`	Aspect-level Sentiment Classification with Reinforcement Learning. IJCNN Tingting Wang, Jie Zhou, Qinmin Vivian Hu, Liang He
2019	A	`conf`	Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. ICDAR Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
2019	J	`jnl`	Cascaded Detail-Preserving Networks for Super-Resolution of Document Images. CoRR Zhichao Fu, Yu Kong, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
2019	J	`jnl`	Cleaning uncertain graphs via noisy crowdsourcing. World Wide Web Yongcheng Wu, Xin Lin, Yan Yang, Liang He
2019	J	`jnl`	Deep Learning for Aspect-Level Sentiment Classification: Survey, Vision, and Challenges. IEEE Access Jie Zhou, Jimmy Xiangji Huang, Qin Chen, Qinmin Vivian Hu, Tingting Wang, Liang He
2019	—	`conf`	Dependent Multilevel Interaction Network for Natural Language Inference. ICANN (4) Yun Li, Yan Yang, Yong Deng, Qinmin Vivian Hu, Chengcai Chen, Liang He, Zhou Yu
2019	—	`conf`	ECNU-ICA team at TREC 2019 Precision Medicine Track. TREC Qi Zheng, Yong Li, Jiaying Hu, Yan Yang, Liang He, Yi Xue
2019	J	`jnl`	Edge-Aware Deep Image Deblurring. CoRR Zhichao Fu, Yingbin Zheng, Hao Ye, Yu Kong, Jing Yang, Liang He
2019	—	`conf`	Enhancing the Healthcare Retrieval with a Self-adaptive Saturated Density Function. PAKDD (1) Yang Song, Wenxin Hu, Liang He, Liang Dou
2019	—	`conf`	FinExpert: domain-specific test generation for FinTech systems. ESEC/SIGSOFT FSE Tiancheng Jin, Qingshun Wang, Lihua Xu, Chunmei Pan, Liang Dou, Haifeng Qian, Liang He, Tao Xie
2019	C	`conf`	Human-Engaged Health Care Services Recommendation for Aging and Long-term Care. CSCWD Liuqian Ni, Yuling Sun, Yanqin Yang, Liang He
2019	B	`conf`	Knowledge Adaptive Neural Network for Natural Language Inference. IJCNN Qi Zhang, Yan Yang, Chengcai Chen, Liang He, Zhou Yu
2019	—	`conf`	LINBER: A Retrieval-based Conversational Assistant using Entity Linking and BERT. TREC Yucheng Li, Yuxiang Sun, Jun Zhang, Pei Huo, Yan Yang, Liang He
2019	J	`jnl`	Let terms choose their own kernels: An intelligent approach to kernel selection for healthcare search. Inf. Sci. Yang Song, Qinmin Vivian Hu, Liang He
2019	B	`conf`	Math Expression Image Retrieval via Attention-Based Framework. ICTAI Caili Wu, Zhao Zhou, Hao Ye, Jing Yang, Liang He
2019	J	`jnl`	P-CNN: Enhancing text matching with positional convolutional neural network. Knowl. Based Syst. Yang Song, Qinmin Vivian Hu, Liang He
2019	J	`jnl`	Scene Text Recognition with Temporal Convolutional Encoder. CoRR Xiangcheng Du, Tianlong Ma, Yingbin Zheng, Hao Ye, Xingjiao Wu, Liang He
2019	B	`conf`	Self-Attention based Network For Medical Query Expansion. IJCNN Su Chen, Qinmin Vivian Hu, Yang Song, Yun He, Huaying Wu, Liang He
2019	A	`conf`	Sentiment Commonsense Induced Sequential Neural Networks for Sentiment Classification. CIKM Shiyun Chen, Xin Lin, Yanghua Xiao, Liang He
2019	J	`jnl`	Stories That Big Danmaku Data Can Tell as a New Media. IEEE Access Qingchun Bai, Qinmin Vivian Hu, Linhui Ge, Liang He
2019	J	`jnl`	Term-Based Personalization for Feature Selection in Clinical Handover Form Auto-Filling. IEEE ACM Trans. Comput. Biol. Bioinform. Hongyu Liu, Qinmin Vivian Hu, Liang He
2019	—	`conf`	Using Dilated Residual Network to Model Distantly Supervised Relation Extraction. DASFAA (3) Lei Zhan, Yan Yang, Pinpin Zhu, Liang He, Zhou Yu
2019	—	`conf`	Using Fractional Latent Topic to Enhance Recurrent Neural Network in Text Similarity Modeling. DASFAA (2) Yang Song, Wenxin Hu, Liang He
2019	J	`jnl`	Video Crowd Counting via Dynamic Temporal Modeling. CoRR Xingjiao Wu, Baohan Xu, Yingbin Zheng, Hao Ye, Jing Yang, Liang He
2019	C	`conf`	iCare Designer: A Rule-Driven Layout Co-Designing System for Elderly Caring. CSCWD Yuling Sun, Jie Zhou, Dong Yao, Liang He
2018	C	`conf`	A Data Driven Collaborative Caring Framework for Aging in Place in China. CSCWD Jie Zhou, Yuling Sun, Liang He
2018	J	`jnl`	Adaptive Scenario Discovery for Crowd Counting. CoRR Xingjiao Wu, Yingbin Zheng, Hao Ye, Wenxin Hu, Jing Yang, Liang He
2018	C	`conf`	An Effective Method for Identifying Unknown Unknowns with Noisy Oracle. ICCBR Bo Zheng, Xin Lin, Yanghua Xiao, Jing Yang, Liang He
2018	C	`conf`	An Interaction Embedded Framework for Healthcare Search. CSCWD Yang Song, Yuling Sun, Qinmin Hu, Liang He
2018	—	`conf`	Answering Range-Based Reverse kNN Queries. APWeb/WAIM (2) Zhefan Zhong, Xin Lin, Liang He, Yan Yang
2018	A*	`conf`	CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity. AAAI Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He
2018	A*	`conf`	CAN: Enhancing Sentence Similarity Modeling with Collaborative and Adversarial Network. SIGIR Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He
2018	B	`conf`	Classify Sentence from Multiple Perspectives with Category Expert Attention Network. IJCNN Shiyun Chen, Maoquan Wang, Jiacheng Zhang, Liang He
2018	—	`conf`	ECNU at 2018 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. CLEF (Working Notes) Huaying Wu, Tingting Wang, Jiayi Chen, Su Chen, Qinmin Hu, Liang He
2018	—	`conf`	ECNU at CLEF PIR 2018 : Evaluation of Personalized Information Retrieval. CLEF (Working Notes) Qingchun Bai, Qi Zhang, Qinmin Hu, Liang He
2018	—	`conf`	ECNU at MC2 2018 Task 2: Mining Opinion Argumentation. CLEF (Working Notes) Jie Zhou, Qi Zhang, Qinmin Hu, Liang He
2018	—	`conf`	EmojiIt at SemEval-2018 Task 2: An Effective Attention-Based Recurrent Neural Network Model for Emoji Prediction with Characters Gated Words. SemEval@NAACL-HLT Shiyun Chen, Maoquan Wang, Liang He
2018	B	`conf`	Enabling Uneven Task Difficulty in Micro-Task Crowdsourcing. GROUP Yu Jiang, Yuling Sun, Jing Yang, Xin Lin, Liang He
2018	C	`conf`	Enabling the Disagreement among Crowds: A Collaborative Crowdsourcing Framework. CSCWD Meihong Wang, Yuling Sun, Jing Yang, Liang He
2018	—	`conf`	Enhancing the Recurrent Neural Networks with Positional Gates for Sentence Representation. ICONIP (1) Yang Song, Wenxin Hu, Qin Chen, Qinmin Hu, Liang He
2018	—	`conf`	FACTS: automated black-box testing of FinTech systems. ESEC/SIGSOFT FSE Qingshun Wang, Lintao Gu, Minhui Xue, Lihua Xu, Wenyu Niu, Liang Dou, Liang He, Tao Xie
2018	—	`conf`	Mining Temporal Discriminant Frames via Joint Matrix Factorization: A Case Study of Illegal Immigration in the U.S. News Media. KSEM (1) Qingchun Bai, Kai Wei, Mengwei Chen, Qinmin Hu, Liang He
2018	J	`jnl`	Modeling Queries with Contextual Snippets for Information Retrieval. ACM Trans. Intell. Syst. Technol. Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He
2018	J	`jnl`	Movie summarization using bullet screen comments. Multim. Tools Appl. Shan Sun, Feng Wang, Liang He
2018	—	`conf`	Multi-model Hybrid Traffic Flow Forecast Algorithm Based on Multivariate Data. ChineseCSCW Jie Zhou, Yuling Sun, Liang He
2018	B	`conf`	Precise Temporal Action Localization by Evolving Temporal Proposals. ICMR Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He
2018	J	`jnl`	Precise Temporal Action Localization by Evolving Temporal Proposals. CoRR Haonan Qiu, Yingbin Zheng, Hao Ye, Yao Lu, Feng Wang, Liang He
2018	A*	`conf`	SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification. AAAI Qinmin Hu, Jie Zhou, Qin Chen, Liang He
2018	—	`conf`	Sentiment Classification Using Neural Networks with Sentiment Centroids. PAKDD (1) Maoquan Wang, Shiyun Chen, Liang He
2018	J	`jnl`	TAKer: Fine-Grained Time-Aware Microblog Search with Kernel Density Estimation. IEEE Trans. Knowl. Data Eng. Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He
2018	—	`conf`	Topic Detection with Danmaku: A Time-Sync Joint NMF Approach. DEXA (2) Qingchun Bai, Qinmin Hu, Faming Fang, Liang He
2018	C	`conf`	USee: An Online-Offline Hybird Danmaku Social System. CSCWD Yuling Sun, Jianyuan Li, Yuxiang Zhen, Yan Tang, Qinmin Hu, Liang He
2017	—	`conf`	ECNU at 2017 eHealth Task 2: Technologically Assisted Reviews in Empirical Medicine. CLEF (Working Notes) Jiayi Chen, Su Chen, Yang Song, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He
2017	—	`conf`	Enabling Social Network: An Exploration of Crowdsourcing System. ChineseCSCW Kai Ye, Yuling Sun, Jing Yang, Liang He
2017	A*	`conf`	Enhancing Recurrent Neural Networks with Positional Attention for Question Answering. SIGIR Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He, Weijie An
2017	—	`conf`	Knowledge Memory Based LSTM Model for Answer Selection. ICONIP (2) Weijie An, Qin Chen, Yan Yang, Liang He
2017	B	`conf`	Modeling User-Item Profiles with Neural Networks for Rating Prediction. ICTAI Lu Chen, Jie Zhou, Liang He, Qin Chen, Jiacheng Zhang, Yan Yang
2017	—	`ch.`	Personality and Recommendation Diversity. Emotions and Personality in Personalized Services Li Chen, Wen Wu, Liang He
2017	—	`conf`	Potentiality of healthcare big data: Improving search by automatic query reformulation. IEEE BigData Yueyao Wang, Qinmin Hu, Yang Song, Liang He
2017	—	`conf`	Reducing Unknown Unknowns with Guidance in Image Caption. ICANN (2) Mengjun Ni, Jing Yang, Xin Lin, Liang He
2017	C	`conf`	Representation Learning with Entity Topics for Knowledge Graphs. KSEM Xin Ouyang, Yan Yang, Liang He, Qin Chen, Jiacheng Zhang
2017	B	`conf`	TaiChi: A Fine-Grained Action Recognition Dataset. ICMR Shan Sun, Feng Wang, Qi Liang, Liang He
2017	C	`conf`	WeCrowd: A WeChat based mobile crowdsourcing platform. CSCWD Kai Ye, Yuling Sun, Jing Yang, Liang He
2016	—	`conf`	ECNU at 2016 LiveQA Track: A Parameter Sharing Long Short Term Memory Model for Learning Question Similarity. TREC Weijie An, Mengfei Shi, Xin Ouyang, Yan Yang, Qinmin Hu, Liang He
2016	—	`conf`	ECNU at 2016 eHealth Task 1: Handover Information Extraction. CLEF (Working Notes) Yang Song, Yun He, Hongyu Liu, Qinmin Hu, Liang He, Yueyao Wang
2016	—	`conf`	ECNU at 2016 eHealth Task 3: Patient-centred Information Retrieval. CLEF (Working Notes) Yang Song, Yun He, Hongyu Liu, Yueyao Wang, Qinmin Hu, Liang He
2016	—	`conf`	ECNU at TREC 2016: Web-based query expansion and experts diagnosis in Medical Information Retrieval. TREC Hongyu Liu, Yang Song, Yun He, Yueyao Wang, Qinmin Hu, Liang He
2016	A	`conf`	Estimating Probability Density of Content Types for Promoting Medical Records Search. ECIR Yun He, Qinmin Hu, Yang Song, Liang He
2016	A*	`conf`	SG++: Word Representation with Sentiment and Negation for Twitter Sentiment Classification. SIGIR Qinmin Hu, Yijun Pei, Qin Chen, Liang He
2016	J	`jnl`	User identification for enhancing IP-TV recommendation. Knowl. Based Syst. Zhijin Wang, Liang He
2015	—	`conf`	Adaptive Temporal Model for IPTV Recommendation. WAIM Yan Yang, Qinmin Hu, Liang He, Minjie Ni, Zhijin Wang
2015	—	`conf`	An Empirical Study of Personal Factors and Social Effects on Rating Prediction. PAKDD (1) Zhijin Wang, Yan Yang, Qinmin Hu, Liang He
2015	—	`conf`	ECNU at 2015 CDS Track: Two Re-ranking Methods in Medical Information Retrieval. TREC Qinmin Hu, Liang He, Yang Song, Yun He
2015	—	`conf`	ECNU at 2015 eHealth Task 2: User-centred Health Information Retrieval. CLEF (Working Notes) Yang Song, Yun He, Qinmin Hu, Liang He, E. Mark Haacke
2015	—	`conf`	ECNU at TREC 2015: LiveQA Track. TREC Weiqian Zhang, Weijie An, Jinchao Ma, Yan Yang, Qinmin Hu, Liang He
2015	—	`conf`	ECNU at TREC 2015: Microblog Track. TREC Qin Chen, Bo Wang, Beijing Huang, Qinmin Hu, Liang He
2015	—	`conf`	Learning Topic-Oriented Word Embedding for Query Classification. PAKDD (1) Hebin Yang, Qinmin Hu, Liang He
2014	—	`conf`	A semi-informative aware approach using topic model for medical search. BIBM Qinmin Vivian Hu, Liang He, Mingyao Li, Jimmy Xiangji Huang, E. Mark Haacke
2014	A	`conf`	Clairvoyant: An Early Prediction System For Video Hits. CIKM Hao Chen, Qinmin Hu, Liang He
2014	—	`conf`	Improved categorical distribution difference feature selection for Chinese document categorization. ICUIMC Qiang Li, Liang He, Xin Lin
2014	—	`conf`	Locating Query-oriented Experts in Microblog Search. SMIR@SIGIR Qin Chen, Yan Yang, Qinmin Hu, Liang He
2014	C	`conf`	User Identification within a Shared Account: Improving IP-TV Recommender Performance. ADBIS Zhijin Wang, Yan Yang, Liang He, Junzhong Gu
2013	—	`conf`	Categorical term frequency probability based feature selection for document categorization. SoCPaR Qiang Li, Liang He, Xin Lin
2013	Misc	`conf`	Dimension reduction based on categorical fuzzy correlation degree for document categorization. GrC Qiang Li, Liang He, Xin Lin
2013	—	`conf`	How personality influences users' needs for recommendation diversity? CHI Extended Abstracts Li Chen, Wen Wu, Liang He
2013	—	`conf`	Parallel Social Influence Model with Levy Flight Pattern Introduced for Large-Graph Mining on Weibo.com. ICA3PP (2) Benbin Wu, Jing Yang, Liang He
2013	—	`conf`	Using personality to adjust diversity in recommender systems. HT Wen Wu, Li Chen, Liang He
2012	—	`conf`	An Expandable Recommendation System on IPTV. ICSI (2) Jie Xiao, Liang He
2012	C	`conf`	An Improved Collaborative Filtering Based on Item Similarity Modified and Common Ratings. CW Weijie Wang, Jing Yang, Liang He
2012	—	`conf`	Chinese HowNet-Based Multi-factor Word Similarity Algorithm Integrated of Result Modification. ICONIP (5) Benbin Wu, Jing Yang, Liang He
2012	—	`conf`	Chinese Organization Name Recognition Based on Multiple Features. PAISI Yajuan Ling, Jing Yang, Liang He
2012	—	`conf`	Evaluating recommender systems. ICDIM Wen Wu, Liang He, Jing Yang
2012	C	`conf`	Keyword Extraction from Short Documents Using Three Levels of Word Evaluation. IC3K Mika Timonen, Timo Toivanen, Melissa Kasari, Yue Teng, Chao Cheng, Liang He
2012	—	`conf`	REV: extracting entity relations from world wide web. ICUIMC Chao Chen, Liang He, Xin Lin
2011	J	`jnl`	A Novel Multi-Aspect Consitency Measurement for Ontologies. J. Web Eng. Zhao Lu, Zoltán Miklós, Liang He, Songmei Cai, Junzhong Gu
2009	Misc	`conf`	A Time-context-Based Collaborative Filtering Algorithm. GrC Liang He, Faqing Wu
2009	—	`conf`	Effective Collaborative Filtering Approaches Based on Missing Data Imputation. NCM Weiwei Xia, Liang He, Junzhong Gu, Keqin He
2009	—	`conf`	LaMOC - A Location Aware Mobile Cooperative System. FGIT-SIP Junzhong Gu, Liang He, Jing Yang
2008	—	`conf`	A Hybrid Recommender Approach Based on Widrow-Hoff Learning. FGCN (1) Lei Ren, Liang He, Junzhong Gu, Weiwei Xia, Faqing Wu
2008	—	`conf`	A New Approach to Blog Post Summarization Using Fast Features. FSKD (2) Shuang Sun, Liang He, Zhao Lv, Junzhong Gu
2008	—	`conf`	A New Effective Collaborative Filtering Algorithm Based on User's Interest Partition. ISCSCT (1) Keqin He, Liang He, Weiwei Xia
2008	C	`conf`	A collaborative filtering algorithm based on Users' Partial Similarity. ICARCV Faqing Wu, Liang He, Weiwei Xia, Lei Ren
2008	C	`conf`	A dynamic trust evaluation algorithm based on subjective logic in pervasive computing environment. ICARCV Yan Yang, Liang He, Xueming Cai
2008	Misc	`conf`	An Effective Similarity Measure for Collaborative Filtering. GrC Faqing Wu, Liang He, Lei Ren, Weiwei Xia
2008	—	`conf`	DESP-COM Model Based on Context-aware in Pervasive Computing. ICNSC Ping Cai, Liang He
2008	—	`conf`	Trust Evaluation Model for Composite Service Based on Subjective Logic. IIH-MSP Meihua Chen, Liang He, Xueming Cai, Weiwei Xia
2006	—	`conf`	M-Show: A System for Accurate Position Estimation in Multi-Floor Buildings. WINSYS Wu Ke, Zheng Zhong, Liang He, Junzhong Gu