ML Anthology

He, Liang

33 publications

JAIR 2025 A New Literature Review of 3D Object Detection on Autonomous Driving Peng Zhang, Xin Li, Xin Lin, Liang He
CVPR 2025 AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning Xuecheng Wu, Heli Sun, Yifan Wang, Jiayu Nie, Jie Zhang, Yabing Wang, Junxiao Xue, Liang He
AAAI 2025 Aspect Enhancement and Text Simplification in Multimodal Aspect-Based Sentiment Analysis for Multi-Aspect and Multi-Sentiment Scenarios Linlin Zhu, Heli Sun, Qunshu Gao, Yuze Liu, Liang He
CVPR 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, Qingchun Bai, Ze Zhou, Liang He
AAAI 2025 Disentangled Modeling of Preferences and Social Influence for Group Recommendation Guangze Ye, Wen Wu, Guoqing Wang, Xi Chen, Hong Zheng, Liang He
ICCV 2025 DriveArena: A Closed-Loop Generative Simulation Platform for Autonomous Driving Xuemeng Yang, Licheng Wen, Tiantian Wei, Yukai Ma, Jianbiao Mei, Xin Li, Wenjie Lei, Daocheng Fu, Pinlong Cai, Min Dou, Liang He, Yong Liu, Botian Shi, Yu Qiao
ICLR 2025 Human Simulacra: Benchmarking the Personification of Large Language Models Qiujie Xie, Qiming Feng, Tianqi Zhang, Qingqiu Li, Linyi Yang, Yuejie Zhang, Rui Feng, Liang He, Shang Gao, Yue Zhang
ICCV 2025 Lark: Low-Rank Updates After Knowledge Localization for Few-Shot Class-Incremental Learning Jinxin Shi, Jiabao Zhao, Yifan Yang, Xingjiao Wu, Jiawen Li, Liang He
AAAI 2025 NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning Xin Yi, Shunfan Zheng, Linlin Wang, Gerard de Melo, Xiaoling Wang, Liang He
IJCAI 2025 Sentiment-Enhanced Multi-Hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis Linlin Zhu, Heli Sun, Xiaoyong Huang, Qi Zhang, Ruichen Cao, Liang He
AAAI 2024 A Hierarchical Network for Multimodal Document-Level Relation Extraction Lingxing Kong, Jiuliang Wang, Zheng Ma, Qifeng Zhou, Jianbing Zhang, Liang He, Jiajun Chen
AAAI 2024 BDIQA: A New Dataset for Video Question Answering to Explore Cognitive Reasoning Through Theory of Mind Yuanyuan Mao, Xin Lin, Qin Ni, Liang He
NeurIPS 2024 Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving 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
ICLR 2024 DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models Licheng Wen, Daocheng Fu, Xin Li, Xinyu Cai, Tao Ma, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao
AAAI 2024 Generative Calibration of Inaccurate Annotation for Label Distribution Learning Liang He, Yunan Lu, Weiwei Li, Xiuyi Jia
IJCAI 2024 Joint Multimodal Aspect Sentiment Analysis with Aspect Enhancement and Syntactic Adaptive Learning Linlin Zhu, Heli Sun, Qunshu Gao, Tingzhou Yi, Liang He
AAAI 2024 MELO: Enhancing Model Editing with Neuron-Indexed Dynamic LoRA Lang Yu, Qin Chen, Jie Zhou, Liang He
AAAI 2024 MedBench: A Large-Scale Chinese Benchmark for Evaluating Medical Large Language Models Yan Cai, Linlin Wang, Ye Wang, Gerard de Melo, Ya Zhang, Yanfeng Wang, Liang He
AAAI 2023 A Disentangled-Attention Based Framework with Persona-Aware Prompt Learning for Dialogue Generation Pingsheng Liu, Zhengjie Huang, Xiechi Zhang, Linlin Wang, Gerard de Melo, Xin Lin, Liang Pang, Liang He
IJCAI 2023 Black-Box Prompt Tuning for Vision-Language Model as a Service Lang Yu, Qin Chen, Jiaju Lin, Liang He
ICCV 2023 DetZero: Rethinking Offboard 3D Object Detection with Long-Term Sequential Point Clouds Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li
AAAI 2023 Disentangled CVAEs with Contrastive Learning for Explainable Recommendation Linlin Wang, Zefeng Cai, Gerard de Melo, Zhu Cao, Liang He
AAAI 2023 Generative Label Enhancement with Gaussian Mixture and Partial Ranking Yunan Lu, Liang He, Fan Min, Weiwei Li, Xiuyi Jia
ICLR 2023 HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization ZeFeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang
CVPR 2023 LoGoNet: Towards Accurate 3D Object Detection with Local-to-Global Cross-Modal Fusion Xin Li, Tao Ma, Yuenan Hou, Botian Shi, Yuchen Yang, Youquan Liu, Xingjiao Wu, Qin Chen, Yikang Li, Yu Qiao, Liang He
IJCAI 2022 CUP: Curriculum Learning Based Prompt Tuning for Implicit Event Argument Extraction Jiaju Lin, Qin Chen, Jie Zhou, Jian Jin, Liang He
ECCV 2022 Homogeneous Multi-Modal Feature Fusion and Interaction for 3D Object Detection Xin Li, Botian Shi, Yuenan Hou, Xingjiao Wu, Tianlong Ma, Yikang Li, Liang He
CVPR 2022 Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin
AAAI 2021 Automated Cross-Prompt Scoring of Essay Traits Robert Ridley, Liang He, Xin-Yu Dai, Shujian Huang, Jiajun Chen
NeurIPS 2021 Co-Evolution Transformer for Protein Contact Prediction He Zhang, Fusong Ju, Jianwei Zhu, Liang He, Bin Shao, Nanning Zheng, Tie-Yan Liu
AAAI 2021 Looking Wider for Better Adaptive Representation in Few-Shot Learning Jiabao Zhao, Yifan Yang, Xin Lin, Jing Yang, Liang He
AAAI 2018 CA-RNN: Using Context-Aligned Recurrent Neural Networks for Modeling Sentence Similarity Qin Chen, Qinmin Hu, Jimmy Xiangji Huang, Liang He
AAAI 2018 SNNN: Promoting Word Sentiment and Negation in Neural Sentiment Classification Qinmin Hu, Jie Zhou, Qin Chen, Liang He