Nie, Liqiang

96 publications

ICLR 2025 3D-AffordanceLLM: Harnessing Large Language Models for Open-Vocabulary Affordance Detection in 3D Worlds Hengshuo Chu, Xiang Deng, Qi Lv, Xiaoyang Chen, Yinchuan Li, Jianye Hao, Liqiang Nie
COLT 2025 A Polynomial-Time Algorithm for Online Sparse Linear Regression with Improved Regret Bound Under Weaker Conditions Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie
IJCAI 2025 A Survey on the Feedback Mechanism of LLM-Based AI Agents Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang
TMLR 2025 Batch Training for Streaming Time Series: A Transferable Augmentation Framework to Combat Distribution Shifts Weiyang Zhang, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
NeurIPS 2025 Breakthrough Sensor-Limited Single View: Towards Implicit Temporal Dynamics for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Xiucheng Li, Weili Guan, Liqiang Nie
NeurIPS 2025 CogVLA: Cognition-Aligned Vision-Language-Action Models via Instruction-Driven Routing & Sparsification Wei Li, Renshan Zhang, Rui Shao, Jie He, Liqiang Nie
CVPR 2025 Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation Yanda Chen, Gongwei Chen, Miao Zhang, Weili Guan, Liqiang Nie
CVPR 2025 DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie
ICCV 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie
NeurIPS 2025 Embodied Crowd Counting Runling Long, Yunlong Wang, Jia Wan, Xiang Deng, Xinting Zhu, Weili Guan, Antoni B. Chan, Liqiang Nie
NeurIPS 2025 Enhancing GUI Agent with Uncertainty-Aware Self-Trained Evaluator Gongwei Chen, Lirong Jie, Lexiao Zou, Weili Guan, Miao Zhang, Liqiang Nie
ICCV 2025 FALCON: Resolving Visual Redundancy and Fragmentation in High-Resolution Multimodal Large Language Models via Visual Registers Renshan Zhang, Rui Shao, Gongwei Chen, Miao Zhang, Kaiwen Zhou, Weili Guan, Liqiang Nie
NeurIPS 2025 Fair Deepfake Detectors Can Generalize Harry Cheng, Ming-Hui Liu, Yangyang Guo, Tianyi Wang, Liqiang Nie, Mohan Kankanhalli
AAAI 2025 GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye
IJCAI 2025 Generative Agents for Multimodal Controversy Detection Tianjiao Xu, Jinfei Gao, Keyi Kong, Jianhua Yin, Tian Gan, Liqiang Nie
ICML 2025 Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin Yuchen Wang, Xuefeng Bai, Xiucheng Li, Weili Guan, Liqiang Nie, Xinyang Chen
CVPR 2025 LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant Wei Li, Bing Hu, Rui Shao, Leyang Shen, Liqiang Nie
CVPR 2025 Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning Na Zheng, Xuemeng Song, Xue Dong, Aashish Nikhil Ghosh, Liqiang Nie, Roger Zimmermann
ICCV 2025 Less Is More: Empowering GUI Agent with Context-Aware Simplification Gongwei Chen, Xurui Zhou, Rui Shao, Yibo Lyu, Kaiwen Zhou, Shuai Wang, Wentao Li, Yinchuan Li, Zhongang Qi, Liqiang Nie
TMLR 2025 Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
NeurIPS 2025 Meta Guidance: Incorporating Inductive Biases into Deep Time Series Imputers Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie
NeurIPS 2025 Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization Wenqi Liu, Xuemeng Song, Jiaxi Li, Yinwei Wei, Na Zheng, Jianhua Yin, Liqiang Nie
CVPR 2025 Object-Shot Enhanced Grounding Network for Egocentric Video Yisen Feng, Haoyu Zhang, Meng Liu, Weili Guan, Liqiang Nie
CVPR 2025 Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie
NeurIPS 2025 R$^2$ec: Towards Large Recommender Models with Reasoning Runyang You, Yongqi Li, Xinyu Lin, Xin Zhang, Wenjie Wang, Wenjie Li, Liqiang Nie
CVPR 2025 SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua
ICML 2025 STAR: Learning Diverse Robot Skill Abstractions Through Rotation-Augmented Vector Quantization Hao Li, Qi Lv, Rui Shao, Xiang Deng, Yinchuan Li, Jianye Hao, Liqiang Nie
ICCV 2025 Social Debiasing for Fair Multi-Modal LLMs Harry Cheng, Yangyang Guo, Qingpei Guo, Ming Yang, Tian Gan, Weili Guan, Liqiang Nie
ICLR 2025 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Kaiwen Zhou, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
NeurIPS 2025 Spatial Understanding from Videos: Structured Prompts Meet Simulation Data Haoyu Zhang, Meng Liu, Zaijing Li, Haokun Wen, Weili Guan, Yaowei Wang, Liqiang Nie
CVPR 2025 Spatial-Temporal Graph Diffusion Policy with Kinematic Modeling for Bimanual Robotic Manipulation Qi Lv, Hao Li, Xiang Deng, Rui Shao, Yinchuan Li, Jianye Hao, Longxiang Gao, Michael Yu Wang, Liqiang Nie
ICLR 2025 TIGeR: Unifying Text-to-Image Generation and Retrieval with Large Multimodal Models Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
NeurIPS 2025 The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense Yangyang Guo, Fangkai Jiao, Liqiang Nie, Mohan Kankanhalli
NeurIPS 2025 Train with Perturbation, Infer After Merging: A Two-Stage Framework for Continual Learning Haomiao Qiu, Miao Zhang, Ziyue Qiao, Liqiang Nie
NeurIPS 2025 Trained Mamba Emulates Online Gradient Descent in In-Context Linear Regression Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie
ICML 2025 Understanding the Forgetting of (Replay-Based) Continual Learning via Feature Learning: Angle Matters Hongyi Wan, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie
NeurIPS 2025 Unified Transferability Metrics for Time Series Foundation Models Weiyang Zhang, Xinyang Chen, Xiucheng Li, Kehai Chen, Weili Guan, Liqiang Nie
NeurIPS 2025 UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation Jiyu Guo, Shuo Yang, Yiming Huang, Yancheng Long, Xiaobo Xia, Xiu Su, Bo Zhao, Zeke Xie, Liqiang Nie
NeurIPS 2024 Boosting Transferability and Discriminability for Time Series Domain Adaptation Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie
IJCAI 2024 Breaking Barriers of System Heterogeneity: Straggler-Tolerant Multimodal Federated Learning via Knowledge Distillation Jinqian Chen, Haoyu Tang, Junhao Cheng, Ming Yan, Ji Zhang, Mingzhu Xu, Yupeng Hu, Liqiang Nie
NeurIPS 2024 CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-Tuning Yibo Yang, Xiaojie Li, Zhongzhu Zhou, Shuaiwen Leon Song, Jianlong Wu, Liqiang Nie, Bernard Ghanem
NeurIPS 2024 Decision Mamba: A Multi-Grained State Space Model with Self-Evolution Regularization for Offline RL Qi Lv, Xiang Deng, Gongwei Chen, Michael Yu Wang, Liqiang Nie
CVPR 2024 DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-Based Human Video Generation Chenyang Wang, Zerong Zheng, Tao Yu, Xiaoqian Lv, Bineng Zhong, Shengping Zhang, Liqiang Nie
CVPR 2024 Discriminative Probing and Tuning for Text-to-Image Generation Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua
ICMLW 2024 EPD: Long-Term Memory Extraction, Context-Aware Planning and Multi-Iteration Decision @ EgoPlan Challenge ICML 2024 Letian Shi, Qi Lv, Xiang Deng, Liqiang Nie
AAAI 2024 Exploiting the Social-like Prior in Transformer for Visual Reasoning Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie
CVPR 2024 Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring Xiaoqian Lv, Shengping Zhang, Chenyang Wang, Yichen Zheng, Bineng Zhong, Chongyi Li, Liqiang Nie
CVPR 2024 GPS-Gaussian: Generalizable Pixel-Wise 3D Gaussian Splatting for Real-Time Human Novel View Synthesis Shunyuan Zheng, Boyao Zhou, Ruizhi Shao, Boning Liu, Shengping Zhang, Liqiang Nie, Yebin Liu
CVPR 2024 GaussianAvatar: Towards Realistic Human Avatar Modeling from a Single Video via Animatable 3D Gaussians Liangxiao Hu, Hongwen Zhang, Yuxiang Zhang, Boyao Zhou, Boning Liu, Shengping Zhang, Liqiang Nie
ICML 2024 GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding Cunxiao Du, Jing Jiang, Xu Yuanchen, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You
NeurIPS 2024 High-Resolution Image Harmonization with Adaptive-Interval Color Transformation Quanling Meng, Qinglin Liu, Zonglin Li, Xiangyuan Lan, Shengping Zhang, Liqiang Nie
CVPR 2024 LION: Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie
AAAI 2024 LLM vs Small Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model Linmei Hu, Hongyu He, Duokang Wang, Ziwang Zhao, Yingxia Shao, Liqiang Nie
ICML 2024 Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo, Shengping Zhang, Liqiang Nie
NeurIPS 2024 MoME: Mixture of Multimodal Experts for Generalist Multimodal Large Language Models Leyang Shen, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie
ICML 2024 Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie
NeurIPS 2024 Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie
ICML 2024 Revisiting Context Aggregation for Image Matting Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie
ICML 2024 RoboMP$^2$: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Y Wang, Liqiang Nie
NeurIPSW 2024 Spa-Bench: A Comprehensive Benchmark for Smartphone Agent Evaluation Jingxuan Chen, Derek Yuen, Bin Xie, Yuhao Yang, Gongwei Chen, Zhihao Wu, Li Yixing, Xurui Zhou, Weiwen Liu, Shuai Wang, Rui Shao, Liqiang Nie, Yasheng Wang, Jianye Hao, Jun Wang, Kun Shao
NeurIPS 2024 To Err like Human: Affective Bias-Inspired Measures for Visual Emotion Recognition Evaluation Chenxi Zhao, Jinglei Shi, Liqiang Nie, Jufeng Yang
NeurIPS 2024 Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie
CVPR 2023 CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie
CVPR 2023 CNVid-3.5m: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset Tian Gan, Qing Wang, Xingning Dong, Xiangyuan Ren, Liqiang Nie, Qingpei Guo
ICML 2023 Interactive Object Placement with Reinforcement Learning Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji
AAAI 2023 Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie
IJCAI 2023 RaSa: Relation and Sensitivity Aware Representation Learning for Text-Based Person Search Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang
IJCAI 2022 Image-Text Retrieval: A Survey on Recent Research and Development Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang
ECCV 2022 Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
ECCV 2022 Network Binarization via Contrastive Learning Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan
CVPR 2022 Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie
IJCAI 2021 AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo
ICCV 2021 Graph Contrastive Clustering Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua
ICCV 2021 Lipschitz Continuity Guided Knowledge Distillation Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan
IJCAI 2020 Auxiliary Template-Enhanced Generative Compatibility Modeling Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma
AAAI 2020 Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha
AAAI 2019 Explicit Interaction Model Towards Text Classification Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie
IJCAI 2018 A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-Oriented Dialogues via Reinforcement Learning Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie
IJCAI 2018 Discrete Factorization Machines for Fast Feature-Based Recommendation Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang
AAAI 2018 Dual Deep Neural Networks Cross-Modal Hashing Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu
IJCAI 2018 Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua
IJCAI 2018 SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu
AAAI 2018 Supervised Deep Hashing for Hierarchical Labeled Data Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao
IJCAI 2017 Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu
IJCAI 2017 Exploiting Music Play Sequence for Music Recommendation Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie
IJCAI 2017 Representativeness-Aware Aspect Analysis for Brand Monitoring in Social Media Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua
AAAI 2017 S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen
CVPR 2017 SCA-CNN: Spatial and Channel-Wise Attention in Convolutional Networks for Image Captioning Long Chen, Hanwang Zhang, Jun Xiao, Liqiang Nie, Jian Shao, Wei Liu, Tat-Seng Chua
AAAI 2017 What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao
AAAI 2016 Fortune Teller: Predicting Your Career Path Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum
AAAI 2016 From Tweets to Wellness: Wellness Event Detection from Twitter Streams Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua
AAAI 2016 Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum
IJCAI 2016 Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search Lei Zhu, Jialie Shen, Xiaobai Liu, Liang Xie, Liqiang Nie
IJCAI 2016 What Does Social Media Say About Your Stress? Huijie Lin, Jia Jia, Liqiang Nie, Guangyao Shen, Tat-Seng Chua
IJCAI 2015 Action2Activity: Recognizing Complex Activities from Sensor Data Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
IJCAI 2015 Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua