| 2026 | AAAI | Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation. | Qiaohui Chu, Haoyu Zhang, Meng Liu, Yisen Feng, Haoxiang Shi, Liqiang Nie |
| 2026 | AAAI | SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation. | Wei Li, Renshan Zhang, Rui Shao, Zhijian Fang, Kaiwen Zhou, Zhuotao Tian, Liqiang Nie |
| 2026 | AAAI | TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs. | Yunxiao Wang, Meng Liu, Wenqi Liu, Xuemeng Song, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Guorui Zhou, Liqiang Nie |
| 2026 | AAAI | Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding. | Haoyu Zhang, Qiaohui Chu, Meng Liu, Haoxiang Shi, Yaowei Wang, Liqiang Nie |
| 2026 | AAAI | D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation. | Jianhui Zuo, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Jiuru Wang, Liqiang Nie |
| 2026 | ACL | Omni-R1: Towards the Unified Generative Paradigm for Multimodal Reasoning. | Dongjie Cheng, Yongqi Li, Zhixin Ma, Hongru Cai, Yupeng Hu, Wenjie Wang, Liqiang Nie, Wenjie Li |
| 2026 | ACL | Reasoning in the Dark: Interleaved Vision-Text Reasoning in Latent Space. | Chao Chen, Zhixin Ma, Yongqi Li, Yupeng Hu, Yinwei Wei, Wenjie Li, Liqiang Nie |
| 2026 | ACL | Evolving Sparsity: Leveraging Token Importance Dynamics for Efficient LLM Decoding with Sparse Attention. | Ruizi Han, Miao Zhang, Ziyue Qiao, Liqiang Nie |
| 2026 | ACL | TEMA: Anchor the Image, Follow the Text for Multi-Modification Composed Image Retrieval. | Zixu Li, Yupeng Hu, Zhiheng Fu, Zhiwei Chen, Yongqi Li, Liqiang Nie |
| 2026 | ACL | PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records. | Yibo Lyu, Gongwei Chen, Rui Shao, Weili Guan, Liqiang Nie |
| 2026 | ACL | Parallel Test-Time Scaling for Latent Reasoning Models. | Runyang You, Yongqi Li, Meng Liu, Wenjie Wang, Liqiang Nie, Wenjie Li |
| 2026 | SIGIR | StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval. | Shaokun Wang, Weili Guan, Jizhou Han, Jianlong Wu, Yupeng Hu, Liqiang Nie |
| 2025 | AAAI | 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 |
| 2025 | ACL | Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation. | Andong Chen, Yuchen Song, Kehai Chen, Xuefeng Bai, Muyun Yang, Liqiang Nie, Jie Liu, Tiejun Zhao, Min Zhang |
| 2025 | ACL | Efficient Safety Alignment of Large Language Models via Preference Re-ranking and Representation-based Reward Modeling. | Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang |
| 2025 | ACL | CoRe-MMRAG: Cross-Source Knowledge Reconciliation for Multimodal RAG. | Yang Tian, Fan Liu, Jingyuan Zhang, Victoria W., Yupeng Hu, Liqiang Nie |
| 2025 | ACL | HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models. | Xiao Wang, Jingyun Hua, Weihong Lin, Yuanxing Zhang, Fuzheng Zhang, Jianlong Wu, Di Zhang, Liqiang Nie |
| 2025 | ACL | AdaReTaKe: Adaptive Redundancy Reduction to Perceive Longer for Video-language Understanding. | Xiao Wang, Qingyi Si, Shiyu Zhu, Jianlong Wu, Li Cao, Liqiang Nie |
| 2025 | ACL | GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent. | Bin Xie, Rui Shao, Gongwei Chen, Kaiwen Zhou, Yinchuan Li, Jie Liu, Min Zhang, Liqiang Nie |
| 2025 | ACL | Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation. | Xinyu Zhang, Linmei Hu, Luhao Zhang, Wentao Cheng, Yashen Wang, Ge Shi, Chong Feng, Liqiang Nie |
| 2025 | ACL | Dually Self-Improved Counterfactual Data Augmentation Using Large Language Model. | Luhao Zhang, Xinyu Zhang, Linmei Hu, Dandan Song, Liqiang Nie |
| 2025 | COLT | A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions. | Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie |
| 2025 | CVPR | 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 |
| 2025 | CVPR | Curriculum Coarse-to-Fine Selection for High-IPC Dataset Distillation. | Yanda Chen, Gongwei Chen, Miao Zhang, Weili Guan, Liqiang Nie |
| 2025 | CVPR | Object-Shot Enhanced Grounding Network for Egocentric Video. | Yisen Feng, Haoyu Zhang, Meng Liu, Weili Guan, Liqiang Nie |
| 2025 | CVPR | LION-FS: Fast & Slow Video-Language Thinker as Online Video Assistant. | Wei Li, Bing Hu, Rui Shao, Leyang Shen, Liqiang Nie |
| 2025 | CVPR | Optimus-2: Multimodal Minecraft Agent with Goal-Observation-Action Conditioned Policy. | Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang, Liqiang Nie |
| 2025 | CVPR | 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 |
| 2025 | CVPR | DKDM: Data-Free Knowledge Distillation for Diffusion Models with Any Architecture. | Qianlong Xiang, Miao Zhang, Yuzhang Shang, Jianlong Wu, Yan Yan, Liqiang Nie |
| 2025 | CVPR | 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 |
| 2025 | ECAI | Dual-Center Graph Clustering with Neighbor Distribution. | Enhao Cheng, Shoujia Zhang, Jianhua Yin, Li Jin, Liqiang Nie |
| 2025 | EMNLP | ORPP: Self-Optimizing Role-playing Prompts to Enhance Language Model Capabilities. | Yifan Duan, Yihong Tang, Kehai Chen, Liqiang Nie, Min Zhang |
| 2025 | EMNLP | Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models. | Ming Wang, Miao Zhang, Xuebo Liu, Liqiang Nie |
| 2025 | ICASSP | PAIR: Complementarity-guided Disentanglement for Composed Image Retrieval. | Zhiheng Fu, Zixu Li, Zhiwei Chen, Chunxiao Wang, Xuemeng Song, Yupeng Hu, Liqiang Nie |
| 2025 | ICASSP | MEDIAN: Adaptive Intermediate-grained Aggregation Network for Composed Image Retrieval. | Qinlei Huang, Zhiwei Chen, Zixu Li, Chunxiao Wang, Xuemeng Song, Yupeng Hu, Liqiang Nie |
| 2025 | ICASSP | CurMIM: Curriculum Masked Image Modeling. | Hao Liu, Kun Wang, Yudong Han, Haocong Wang, Yupeng Hu, Chunxiao Wang, Liqiang Nie |
| 2025 | ICCV | Social Debiasing for Fair Multi-Modal LLMs. | Harry Cheng, Yangyang Guo, Qing Guo, Ming-Hsuan Yang, Tian Gan, Weili Guan, Liqiang Nie |
| 2025 | ICCV | 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 |
| 2025 | ICCV | Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-Ray Classification. | Mingyang Liu, Xinyang Chen, Yang Shu, Xiucheng Li, Weili Guan, Liqiang Nie |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | 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 |
| 2025 | ICML | Understanding the Forgetting of (Replay-based) Continual Learning via Feature Learning: Angle Matters. | Hongyi Wang, Shiyuan Ren, Wei Huang, Miao Zhang, Xiang Deng, Yixin Bao, Liqiang Nie |
| 2025 | IJCAI | 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 |
| 2025 | IJCAI | Generative Agents for Multimodal Controversy Detection. | Tianjiao Xu, Jinfei Gao, Keyi Kong, Jianhua Yin, Tian Gan, Liqiang Nie |
| 2025 | SIGIR | Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. | Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua |
| 2025 | SIGIR | Social Context-Aware Community-Level Propagation Prediction. | Jinfei Gao, Xiao Wang, Tian Gan, Jianhua Yin, Chuanchen Luo, Liqiang Nie |
| 2025 | SIGIR | Gaming for Boundary: Elastic Localization for Frame-Supervised Video Moment Retrieval. | Hao Liu, Yupeng Hu, Kun Wang, Yinwei Wei, Liqiang Nie |
| 2024 | AAAI | Exploiting the Social-Like Prior in Transformer for Visual Reasoning. | Yudong Han, Yupeng Hu, Xuemeng Song, Haoyu Tang, Mingzhu Xu, Liqiang Nie |
| 2024 | AAAI | 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 |
| 2024 | ACL | Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. | Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua |
| 2024 | ACL | Distillation Enhanced Generative Retrieval. | Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua |
| 2024 | ACL | LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models. | Jiaqi Zhao, Miao Zhang, Chao Zeng, Ming Wang, Xuebo Liu, Liqiang Nie |
| 2024 | ACL | Self-chats from Large Language Models Make Small Emotional Support Chatbot Better. | Zhonghua Zheng, Lizi Liao, Yang Deng, Libo Qin, Liqiang Nie |
| 2024 | CVPR | LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge. | Gongwei Chen, Leyang Shen, Rui Shao, Xiang Deng, Liqiang Nie |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | CVPR | Discriminative Probing and Tuning for Text-to-Image Generation. | Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2024 | CVPR | 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 |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | Thoughts to Target: Enhance Planning for Target-driven Conversation. | Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie |
| 2024 | ICASSP | VK-G2T: Vision and Context Knowledge Enhanced Gloss2text. | Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie |
| 2024 | ICDE | A Multi-View Clustering Algorithm for Short Text. | Minkuan Lu, Jianhua Yin, Kaijun Wang, Liqiang Nie |
| 2024 | ICML | GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding. | Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You |
| 2024 | ICML | Revisiting Context Aggregation for Image Matting. | Qinglin Liu, Xiaoqian Lv, Quanling Meng, Zonglin Li, Xiangyuan Lan, Shuo Yang, Shengping Zhang, Liqiang Nie |
| 2024 | ICML | RoboMP2: A Robotic Multimodal Perception-Planning Framework with Multimodal Large Language Models. | Qi Lv, Hao Li, Xiang Deng, Rui Shao, Michael Yu Wang, Liqiang Nie |
| 2024 | ICML | Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary. | Shuo Yang, Zhe Cao, Sheng Guo, Ruiheng Zhang, Ping Luo, Shengping Zhang, Liqiang Nie |
| 2024 | ICML | Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering. | Haoyu Zhang, Meng Liu, Zixin Liu, Xuemeng Song, Yaowei Wang, Liqiang Nie |
| 2024 | IJCAI | 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 |
| 2024 | SIGIR | Fine-grained Textual Inversion Network for Zero-Shot Composed Image Retrieval. | Haoqiang Lin, Haokun Wen, Xuemeng Song, Meng Liu, Yupeng Hu, Liqiang Nie |
| 2024 | SIGIR | Let Me Show You Step by Step: An Interpretable Graph Routing Network for Knowledge-based Visual Question Answering. | Duokang Wang, Linmei Hu, Rui Hao, Yingxia Shao, Xin Lv, Liqiang Nie, Juanzi Li |
| 2024 | SIGIR | Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. | Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2023 | AAAI | Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection. | Yang Qiao, Liqiang Jing, Xuemeng Song, Xiaolin Chen, Lei Zhu, Liqiang Nie |
| 2023 | ACL | Causal Intervention and Counterfactual Reasoning for Multi-modal Fake News Detection. | Ziwei Chen, Linmei Hu, Weixin Li, Yingxia Shao, Liqiang Nie |
| 2023 | ACL | Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation. | Liqiang Jing, Xuemeng Song, Kun Ouyang, Mengzhao Jia, Liqiang Nie |
| 2023 | ACL | Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition. | Haozhe Yang, Xianqiang Gao, Jianlong Wu, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie |
| 2023 | CVPR | 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 |
| 2023 | CVPR | CHMATCH: Contrastive Hierarchical Matching and Robust Adaptive Threshold Boosted Semi-Supervised Learning. | Jianlong Wu, Haozhe Yang, Tian Gan, Ning Ding, Feijun Jiang, Liqiang Nie |
| 2023 | EMNLP | Aspect-to-Scope Oriented Multi-view Contrastive Learning for Aspect-based Sentiment Analysis. | Heyan Chai, Ziyi Yao, Siyu Tang, Ye Wang, Liqiang Nie, Binxing Fang, Qing Liao |
| 2023 | EMNLP | An Empirical Study of Frame Selection for Text-to-Video Retrieval. | Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang |
| 2023 | ICDE | Enhancing Factorization Machines with Generalized Metric Learning (Extended Abstract). | Yangyang Guo, Zhiyong Cheng, Jiazheng Jing, Yanpeng Lin, Liqiang Nie, Meng Wang |
| 2023 | ICDE | Modeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract). | Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye |
| 2023 | ICML | Interactive Object Placement with Reinforcement Learning. | Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji |
| 2023 | IJCAI | 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 |
| 2023 | SIGIR | Dual Semantic Knowledge Composed Multimodal Dialog Systems. | Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | Adapting Generative Pretrained Language Model for Open-domain Multimodal Sentence Summarization. | Dengtian Lin, Liqiang Jing, Xuemeng Song, Meng Liu, Teng Sun, Liqiang Nie |
| 2023 | SIGIR | OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification. | Dengtian Lin, Yang Ma, Yuhong Li, Xuemeng Song, Jianlong Wu, Liqiang Nie |
| 2023 | SIGIR | Learnable Pillar-based Re-ranking for Image-Text Retrieval. | Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | LightGT: A Light Graph Transformer for Multimedia Recommendation. | Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | SIGIR | Strategy-aware Bundle Recommender System. | Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua |
| 2023 | WSDM | Multi-queue Momentum Contrast for Microvideo-Product Retrieval. | Yali Du, Yinwei Wei, Wei Ji, Fan Liu, Xin Luo, Liqiang Nie |
| 2022 | ACL | MERIt: Meta-Path Guided Contrastive Learning for Logical Reasoning. | Fangkai Jiao, Yangyang Guo, Xuemeng Song, Liqiang Nie |
| 2022 | ACL | MMCoQA: Conversational Question Answering over Text, Tables, and Images. | Yongqi Li, Wenjie Li, Liqiang Nie |
| 2022 | CVPR | Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. | Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie |
| 2022 | ECCV | Lipschitz Continuity Retained Binary Neural Network. | Yuzhang Shang, Dan Xu, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan |
| 2022 | ECCV | Network Binarization via Contrastive Learning. | Yuzhang Shang, Dan Xu, Ziliang Zong, Liqiang Nie, Yan Yan |
| 2022 | ICASSP | Win The Lottery Ticket Via Fourier Analysis: Frequencies Guided Network Pruning. | Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan |
| 2022 | IJCAI | Image-text Retrieval: A Survey on Recent Research and Development. | Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang |
| 2022 | SIGIR | Privacy-Preserving Synthetic Data Generation for Recommendation Systems. | Fan Liu, Zhiyong Cheng, Huilin Chen, Yinwei Wei, Liqiang Nie, Mohan S. Kankanhalli |
| 2022 | SIGIR | V2P: Vision-to-Prompt based Multi-Modal Product Summary Generation. | Xuemeng Song, Liqiang Jing, Dengtian Lin, Zhongzhou Zhao, Haiqing Chen, Liqiang Nie |
| 2022 | SIGIR | User-controllable Recommendation Against Filter Bubbles. | Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua |
| 2021 | ACL | REPT: Bridging Language Models and Machine Reading Comprehension via Retrieval-Based Pre-training. | Fangkai Jiao, Yangyang Guo, Yilin Niu, Feng Ji, Feng-Lin Li, Liqiang Nie |
| 2021 | ICCV | Lipschitz Continuity Guided Knowledge Distillation. | Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan |
| 2021 | ICCV | Graph Contrastive Clustering. | Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua |
| 2021 | IJCAI | AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss. | Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Feng Ji, Ji Zhang, Alberto Del Bimbo |
| 2021 | WWW | Interest-aware Message-Passing GCN for Recommendation. | Fan Liu, Zhiyong Cheng, Lei Zhu, Zan Gao, Liqiang Nie |
| 2021 | SIGIR | Adversarial-Enhanced Hybrid Graph Network for User Identity Linkage. | Xiaolin Chen, Xuemeng Song, Guozhen Peng, Shanshan Feng, Liqiang Nie |
| 2021 | SIGIR | Multimodal Activation: Awakening Dialog Robots without Wake Words. | Liqiang Nie, Mengzhao Jia, Xuemeng Song, Ganglu Wu, Harry Cheng, Jian Gu |
| 2021 | SIGIR | Dynamic Modality Interaction Modeling for Image-Text Retrieval. | Leigang Qu, Meng Liu, Jianlong Wu, Zan Gao, Liqiang Nie |
| 2021 | SIGIR | Comprehensive Linguistic-Visual Composition Network for Image Retrieval. | Haokun Wen, Xuemeng Song, Xin Yang, Yibing Zhan, Liqiang Nie |
| 2021 | WSDM | Denoising Implicit Feedback for Recommendation. | Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua |
| 2020 | AAAI | Unified Graph and Low-Rank Tensor Learning for Multi-View Clustering. | Jianlong Wu, Xingyu Xie, Liqiang Nie, Zhouchen Lin, Hongbin Zha |
| 2020 | IJCAI | Auxiliary Template-Enhanced Generative Compatibility Modeling. | Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma |
| 2020 | SIGIR | Fashion Compatibility Modeling through a Multi-modal Try-on-guided Scheme. | Xue Dong, Jianlong Wu, Xuemeng Song, Hongjun Dai, Liqiang Nie |
| 2020 | SIGIR | Generative Attribute Manipulation Scheme for Flexible Fashion Search. | Xin Yang, Xuemeng Song, Xianjing Han, Haokun Wen, Jie Nie, Liqiang Nie |
| 2020 | WSDM | LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. | Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie |
| 2019 | AAAI | Explicit Interaction Model towards Text Classification. | Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie |
| 2019 | CIKM | Long-tail Hashtag Recommendation for Micro-videos with Graph Convolutional Network. | Mengmeng Li, Tian Gan, Meng Liu, Zhiyong Cheng, Jianhua Yin, Liqiang Nie |
| 2019 | EMNLP | Improving Distantly-Supervised Relation Extraction with Joint Label Embedding. | Linmei Hu, Luhao Zhang, Chuan Shi, Liqiang Nie, Weili Guan, Cheng Yang |
| 2019 | SIGIR | User Attention-guided Multimodal Dialog Systems. | Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie |
| 2019 | SIGIR | Quantifying and Alleviating the Language Prior Problem in Visual Question Answering. | Yangyang Guo, Zhiyong Cheng, Liqiang Nie, Yibing Liu, Yinglong Wang, Mohan S. Kankanhalli |
| 2019 | SIGIR | Prototype-guided Attribute-wise Interpretable Scheme for Clothing Matching. | Xianjing Han, Xuemeng Song, Jianhua Yin, Yinglong Wang, Liqiang Nie |
| 2019 | SIGIR | Online Multi-modal Hashing with Dynamic Query-adaption. | Xu Lu, Lei Zhu, Zhiyong Cheng, Liqiang Nie, Huaxiang Zhang |
| 2019 | SIGIR | Supervised Hierarchical Cross-Modal Hashing. | Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie |
| 2018 | AAAI | Dual Deep Neural Networks Cross-Modal Hashing. | Zhen-Duo Chen, Wan-Jin Yu, Chuan-Xiang Li, Liqiang Nie, Xin-Shun Xu |
| 2018 | AAAI | Supervised Deep Hashing for Hierarchical Labeled Data. | Dan Wang, Heyan Huang, Chi Lu, Bo-Si Feng, Guihua Wen, Liqiang Nie, Xianling Mao |
| 2018 | ACL | Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. | Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie |
| 2018 | CIKM | An Attentive Interaction Network for Context-aware Recommendations. | Lei Mei, Pengjie Ren, Zhumin Chen, Liqiang Nie, Jun Ma, Jian-Yun Nie |
| 2018 | IJCAI | Discrete Factorization Machines for Fast Feature-based Recommendation. | Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang |
| 2018 | IJCAI | SDMCH: Supervised Discrete Manifold-Embedded Cross-Modal Hashing. | Xin Luo, Xiao-Ya Yin, Liqiang Nie, Xuemeng Song, Yongxin Wang, Xin-Shun Xu |
| 2018 | IJCAI | 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 |
| 2018 | IJCAI | Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. | Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua |
| 2018 | MMM | Venue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs. | Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua |
| 2018 | WWW | Learning on Partial-Order Hypergraphs. | Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua |
| 2018 | WWW | TEM: Tree-enhanced Embedding Model for Explainable Recommendation. | Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua |
| 2018 | SIGIR | Attentive Moment Retrieval in Videos. | Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua |
| 2018 | SIGIR | Fast Scalable Supervised Hashing. | Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu |
| 2018 | SIGIR | Neural Compatibility Modeling with Attentive Knowledge Distillation. | Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie |
| 2018 | SIGIR | A Personal Privacy Preserving Framework: I Let You Know Who Can See What. | Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu |
| 2018 | SIGIR | Chat More: Deepening and Widening the Chatting Topic via A Deep Model. | Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie |
| 2017 | AAAI | What Happens Next? Future Subevent Prediction Using Contextual Hierarchical LSTM. | Linmei Hu, Juanzi Li, Liqiang Nie, Xiaoli Li, Chao Shao |
| 2017 | AAAI | S2JSD-LSH: A Locality-Sensitive Hashing Schema for Probability Distributions. | Xianling Mao, Bo-Si Feng, Yi-Jing Hao, Liqiang Nie, Heyan Huang, Guihua Wen |
| 2017 | CVPR | 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 |
| 2017 | IJCAI | Exploiting Music Play Sequence for Music Recommendation. | Zhiyong Cheng, Jialie Shen, Lei Zhu, Mohan S. Kankanhalli, Liqiang Nie |
| 2017 | IJCAI | Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. | Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua |
| 2017 | IJCAI | 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 |
| 2017 | WWW | Neural Collaborative Filtering. | Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua |
| 2017 | SIGIR | Embedding Factorization Models for Jointly Recommending Items and User Generated Lists. | Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua |
| 2017 | SIGIR | Exploring User-Specific Information in Music Retrieval. | Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua, Mohan S. Kankanhalli |
| 2017 | SIGIR | Attentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention. | Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua |
| 2017 | SIGIR | Computational Social Indicators: A Case Study of Chinese University Ranking. | Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua |
| 2017 | SIGIR | Item Silk Road: Recommending Items from Information Domains to Social Users. | Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua |
| 2016 | AAAI | From Tweets to Wellness: Wellness Event Detection from Twitter Streams. | Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua |
| 2016 | AAAI | Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction. | Yongpo Jia, Xuemeng Song, Jingbo Zhou, Li Liu, Liqiang Nie, David S. Rosenblum |
| 2016 | AAAI | Fortune Teller: Predicting Your Career Path. | Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum |
| 2016 | ACCV | Sparse Code Filtering for Action Pattern Mining. | Wei Wang, Yan Yan, Liqiang Nie, Luming Zhang, Stefan Winkler, Nicu Sebe |
| 2016 | IJCAI | What Does Social Media Say about Your Stress?. | Huijie Lin, Jia Jia, Liqiang Nie, Guangyao Shen, Tat-Seng Chua |
| 2016 | IJCAI | Learning Compact Visual Representation with Canonical Views for Robust Mobile Landmark Search. | Lei Zhu, Jialie Shen, Xiaobai Liu, Liang Xie, Liqiang Nie |
| 2016 | MMM | Smart Ambient Sound Analysis via Structured Statistical Modeling. | Jialie Shen, Liqiang Nie, Tat-Seng Chua |
| 2016 | MMM | Utilizing Sensor-Social Cues to Localize Objects-of-Interest in Outdoor UGVs. | Yingjie Xia, Luming Zhang, Liqiang Nie, Wenjing Geng |
| 2015 | IJCAI | Action2Activity: Recognizing Complex Activities from Sensor Data. | Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum |
| 2015 | IJCAI | Interest Inference via Structure-Constrained Multi-Source Multi-Task Learning. | Xuemeng Song, Liqiang Nie, Luming Zhang, Maofu Liu, Tat-Seng Chua |
| 2015 | SIGIR | Multiple Social Network Learning and Its Application in Volunteerism Tendency Prediction. | Xuemeng Song, Liqiang Nie, Luming Zhang, Mohammad Akbari, Tat-Seng Chua |
| 2014 | SIGIR | A Joint Local-Global Approach for Medical Terminology Assignment. | Liqiang Nie, Mohammad Akbari, Tao Li, Tat-Seng Chua |
| 2014 | SIGIR | WenZher: comprehensive vertical search for healthcare domain. | Liqiang Nie, Tao Li, Mohammad Akbari, Jialie Shen, Tat-Seng Chua |
| 2012 | COLING | A Semi-Supervised Bayesian Network Model for Microblog Topic Classification. | Yan Chen, Zhoujun Li, Liqiang Nie, Xia Hu, Xiangyu Wang, Tat-Seng Chua, Xiaoming Zhang |
| 2012 | COLING | The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval. | Weinan Zhang, Zhaoyan Ming, Yu Zhang, Liqiang Nie, Ting Liu, Tat-Seng Chua |
| 2011 | SIGIR | Multimedia answering: enriching text QA with media information. | Liqiang Nie, Meng Wang, Zheng-Jun Zha, Guangda Li, Tat-Seng Chua |