| 2026 | AAAI | AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection. | Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang |
| 2026 | AAAI | PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination. | Jinke Ma, Jiachen Ma, Wei Zhang, Yong Liu |
| 2026 | AAAI | Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge. | Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang |
| 2026 | AAAI | LLM-Oriented Token-Adaptive Knowledge Distillation. | Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang, Xiaobin Hu, Yong Liu, Jiangning Zhang |
| 2026 | AAAI | OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization. | Jiazheng Xing, Hai Ci, Hongbin Xu, Hangjie Yuan, Yong Liu, Mike Zheng Shou |
| 2026 | AAAI | Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval. | Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao |
| 2026 | AAAI | Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs. | Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng |
| 2026 | AAAI | Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes. | Yang Zhou, Zhenting Sheng, Mingrui Tan, Yuting Song, Jun Zhou, Yu Heng Kwan, Lian Leng Low, Yang Bai, Yong Liu |
| 2026 | ACL | Beyond Itinerary Planning - A Real-World Benchmark for Multi-Turn and Tool-Using Travel Tasks. | Xiang Cheng, Yulan Hu, Xiangwen Zhang, Lu Xu, Lide Tan, Zheng Pan, Xin Li, Yong Liu |
| 2026 | ACL | The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios. | Daocheng Fu, Jianbiao Mei, Rong Wu, Xuemeng Yang, Xu Jia, Ding Wang, Pinlong Cai, Yong Liu, Licheng Wen, Botian Shi |
| 2026 | ACL | DiningBench: A Hierarchical Multi-view Benchmark for Perception and Reasoning in the Dietary Domain. | Song Jin, Juntian Zhang, Xun Zhang, Zeying Tian, Fei Jiang, Guojun Yin, Wei Lin, Yong Liu, Rui Yan |
| 2026 | ACL | No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning. | Zhicong Li, Lingjie Jiang, Yulan Hu, Xingchen Zeng, Yixia Li, Xiangwen Zhang, Guanhua Chen, Zheng Pan, Xin Li, Yong Liu |
| 2026 | ACL | LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration Benchmark. | Guangyi Liu, Pengxiang Zhao, Liang Liu, Zhiming Chen, Yuxiang Chai, Yaozhen Liang, WenHao Wang, Siheng Chen, Zhengxi Lu, Shuai Ren, Hao Wang, Shibo He, Yong Liu, Wenchao Meng |
| 2026 | ACL | ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging. | Junyao Yang, Chen Qian, Wen Shen, Yong Liu, Jing Shao, Dongrui Liu |
| 2026 | ACL | MemSearch-o1: Empowering Large Language Models with Reasoning-Aligned Memory Growth in Agentic Search. | Sheng Zhang, Junyi Li, Yingyi Zhang, Pengyue Jia, Yichao Wang, Xiaowei Qian, Wenlin Zhang, Maolin Wang, Yong Liu, Xiangyu Zhao |
| 2026 | ACL | MAS-Bench: A Unified Benchmark for Shortcut-Augmented Hybrid Mobile GUI Agents. | Pengxiang Zhao, Guangyi Liu, Yaozhen Liang, Weiqing He, Zhengxi Lu, WenHao Wang, Yuehao Huang, Yuxiang Chai, Zhaolu Kang, Yaxuan Guo, Hao Wang, Kexin Zhang, Liang Liu, Yong Liu |
| 2026 | COMPSAC | Cross-Layer Heterogeneous Information Integration and Representation for Web Vulnerability Analysis using LLM and Static Analysis. | JiaWang Jiang, Yong Liu, ChaoJie Dai, JiaXue Song, WeiWei Wang |
| 2026 | COMPSAC | GVFL: Variable Level Fault Localization Using Graph Representation Learning. | Xia Song, Xiaojie Fan, Ruishi Huang, Zheng Li, Yong Liu |
| 2026 | COMPSAC | Dual Knowledge Graph Retrieval-Augmented Smart Contract Vulnerability Detection. | Yan Zheng, Yang Zhou, Yichen Wang, Ying Shang, Yong Liu |
| 2026 | DASFAA | Efficient Personalized Reranking with Semi-autoregressive Generation and Online Knowledge Distillation. | Kai Chen, Hao Wang, Wei Guo, Weiwen Liu, Yong Liu, Yawen Li, Enhong Chen |
| 2026 | DASFAA | Domain Adaptation Network with Dual-Encoder for Fake News Detection. | Ziwen Sun, Yan Yang, Yingli Zhong, Yong Liu |
| 2026 | DATE | CAMI: A Context-Aware Isolation Architecture for GPU Memories. | Hao Lan, Wei Yan, Qinfen Hao, Xiaochun Ye, Yier Jin, Yong Liu, Ninghui Sun |
| 2025 | AAAI | VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering. | Chun-Mei Feng, Yang Bai, Tao Luo, Zhen Li, Salman H. Khan, Wangmeng Zuo, Rick Siow Mong Goh, Yong Liu |
| 2025 | AAAI | Decentralized Federated Learning with Model Caching on Mobile Agents. | Xiaoyu Wang, Guojun Xiong, Houwei Cao, Jian Li, Yong Liu |
| 2025 | AAAI | Densely Connected Parameter-Efficient Tuning for Referring Image Segmentation. | Jiaqi Huang, Zunnan Xu, Ting Liu, Yong Liu, Haonan Han, Kehong Yuan, Xiu Li |
| 2025 | AAAI | Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology. | Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu |
| 2025 | AAAI | Look Back for More: Harnessing Historical Sequential Updates for Personalized Federated Adapter Tuning. | Danni Peng, Yuan Wang, Huazhu Fu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei |
| 2025 | AAAI | IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis. | Yuji Wang, Jingchen Ni, Yong Liu, Chun Yuan, Yansong Tang |
| 2025 | AAAI | Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving. | Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu |
| 2025 | AAAI | AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization. | Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong |
| 2025 | ACL | RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. | Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen |
| 2025 | ACL | Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger. | Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu |
| 2025 | ACL | Do not Abstain! Identify and Solve the Uncertainty. | Jingyu Liu, JingquanPeng JingquanPeng, Xiaopeng Wu, Xubin Li, Tiezheng Ge, Bo Zheng, Yong Liu |
| 2025 | ACL | CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control. | Huanshuo Liu, Hao Zhang, Zhijiang Guo, Jing Wang, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu |
| 2025 | ACL | Towards Reward Fairness in RLHF: From a Resource Allocation Perspective. | Sheng Ouyang, Yulan Hu, Ge Chen, Qingyang Li, Fuzheng Zhang, Yong Liu |
| 2025 | ACL | The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models. | Chen Qian, Dongrui Liu, Jie Zhang, Yong Liu, Jing Shao |
| 2025 | ACL | Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL. | Wei Yao, Wenkai Yang, Ziqiao Wang, Yankai Lin, Yong Liu |
| 2025 | APWEB | A Cross-Modal Fusion Method for Short Video Fake News Detection via MambaFormer. | Chunyu Zhang, Liyuan Zhang, Jiachen Ma, Wei Zhang, Yong Liu |
| 2025 | COLING | Planning with Multi-Constraints via Collaborative Language Agents. | Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu |
| 2025 | CVPR | GroundingFace: Fine-grained Face Understanding via Pixel Grounding Multimodal Large Language Model. | Yue Han, Jiangning Zhang, Junwei Zhu, Runze Hou, Xiaozhong Ji, Chuming Lin, Xiaobin Hu, Zhucun Xue, Yong Liu |
| 2025 | CVPR | Action Detail Matters: Refining Video Recognition with Local Action Queries. | Mengmeng Wang, Zeyi Huang, Xiangjie Kong, Guojiang Shen, Guang Dai, Jingdong Wang, Yong Liu |
| 2025 | CVPR | TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation. | Yabiao Wang, Shuo Wang, Jiangning Zhang, Ke Fan, Jiafu Wu, Zhucun Xue, Yong Liu |
| 2025 | CVPR | SAM2-LOVE: Segment Anything Model 2 in Language-aided Audio-Visual Scenes. | Yuji Wang, Haoran Xu, Yong Liu, Jiaze Li, Yansong Tang |
| 2025 | CVPR | HyperSeg: Hybrid Segmentation Assistant with Fine-grained Visual Perceiver. | Cong Wei, Yujie Zhong, Haoxian Tan, Yong Liu, Jie Hu, Dengjie Li, Zheng Zhao, Yujiu Yang |
| 2025 | DASFAA | Resolving Embedding-Ignoring Conflict in Graph Contrastive Learning-Based Rumor Detection. | Jiachen Ma, Jing Dai, Wei Zhang, Yong Liu |
| 2025 | DASFAA | A Universal Framework for Compressing Embeddings in CTR Prediction. | Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | DASFAA | LLM-Driven Evidence Retrieval and Graph Learning for Explainable Rumor Detection. | Jiafu Yang, Junyan Chen, Wei Zhang, Yong Liu |
| 2025 | DASFAA | KMMN: Knowledge Enhanced Multimodal Multi-grained Network for Fake News Detection. | Liyuan Zhang, Zeyun Cheng, Zhongyan Gui, Yan Yang, Yong Liu |
| 2025 | DASFAA | T 3SVFND: Towards an Evolving Fake News Detector for Emergencies with Test-Time Training on Short Video Platforms. | Liyuan Zhang, Zeyun Cheng, Zhongyan Gui, Yan Yang, Yong Liu, Jinke Ma |
| 2025 | DATE | Accelerating Oblivious Transfer with a Pipelined Architecture. | Xiaolin Li, Wei Yan, Hongwei Liu, Yong Zhang, Qinfen Hao, Yong Liu, Ninghui Sun |
| 2025 | ECAI | History-Aware and Dynamic Client Contribution in Federated Learning. | Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei |
| 2025 | EMNLP | Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot. | Xiang Cheng, Chengyan Pan, Minjun Zhao, Deyang Li, Fangchao Liu, Xinyu Zhang, Xiao Zhang, Yong Liu |
| 2025 | EMNLP | MMDocIR: Benchmarking Multimodal Retrieval for Long Documents. | Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu |
| 2025 | EMNLP | Exploring the Limitations of Mamba in COPY and CoT Reasoning. | Ruifeng Ren, Zhicong Li, Yong Liu |
| 2025 | EMNLP | SPPD: Self-training with Process Preference Learning Using Dynamic Value Margin. | Hao Yi, Qingyang Li, Yulan Hu, Fuzheng Zhang, Di Zhang, Yong Liu |
| 2025 | EMNLP | Reward Mixology: Crafting Hybrid Signals for Reinforcement Learning Driven In-Context Learning. | Changshuo Zhang, Ang Gao, Xiao Zhang, Yong Liu, Deyang Li, Fangchao Liu, Xinyu Zhang |
| 2025 | EuroPar | ParTEE: A Framework for Secure Parallel Computing of RISC-V Trusted Execution Environments. | Hao Lan, Ziang Zhou, Qi Zhu, Wei Yan, Qinfen Hao, Xiaochun Ye, Yong Liu, Ninghui Sun |
| 2025 | ICASSP | OARecon: Object-Aware Viewpoint Augmentation for Indoor Compositional Reconstruction. | Yuanyuan Ding, Yiming Fei, Jiandang Yang, Xiaobin Wei, Jiajun Lv, Yong Liu |
| 2025 | ICASSP | CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion. | Yaowei Guo, Jiazheng Xing, Xiaojun Hou, Shuo Xin, Juntao Jiang, Demetri Terzopoulos, Chenfanfu Jiang, Yong Liu |
| 2025 | ICASSP | Contrastive Pre-Training and Post-Tuning for Heterogeneous Graph Learning. | Yulan Hu, Sheng Ouyang, Zhirui Yang, Yong Liu |
| 2025 | ICASSP | VPCI: Self-Supervised Visual Prompt-Guided Cross-Domain Interactive Image Fusion Framework. | Yong Liu, Chengyu Wu, Jiayuan Cui, Bin Jiang |
| 2025 | ICCV | LLaVA-KD: A Framework of Distilling Multimodal Large Language Models. | Yuxuan Cai, Jiangning Zhang, Haoyang He, Xinwei He, Ao Tong, Zhenye Gan, Chengjie Wang, Zhucun Xue, Yong Liu, Xiang Bai |
| 2025 | ICCV | PatchScaler: An Efficient Patch-Independent Diffusion Model for Image Super-Resolution. | Yong Liu, Hang Dong, Jinshan Pan, Qingji Dong, Kai Chen, Rongxiang Zhang, Lean Fu, Fei Wang |
| 2025 | ICCV | Stepping Out of Similar Semantic Space for Open-Vocabulary Segmentation. | Yong Liu, Song-Li Wu, Sule Bai, Jiahao Wang, Yitong Wang, Yansong Tang |
| 2025 | ICCV | CoHD: A Counting-Aware Hierarchical Decoding Framework for Generalized Referring Expression Segmentation. | Zhuoyan Luo, Yinghao Wu, Tianheng Cheng, Yong Liu, Yicheng Xiao, Hongfa Wang, Xiao-Ping Zhang, Yujiu Yang |
| 2025 | ICCV | LiT: Delving into a Simple Linear Diffusion Transformer for Image Generation. | Jiahao Wang, Ning Kang, Lewei Yao, Mengzhao Chen, Chengyue Wu, Songyang Zhang, Shuchen Xue, Yong Liu, Taiqiang Wu, Xihui Liu, Kaipeng Zhang, Shifeng Zhang, Wenqi Shao, Zhenguo Li, Ping Luo |
| 2024 | AAAI | Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt. | Jiaqi Liu, Kai Wu, Qiang Nie, Ying Chen, Bin-Bin Gao, Yong Liu, Jinbao Wang, Chengjie Wang, Feng Zheng |
| 2024 | AAAI | Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding. | Wenjia Geng, Yong Liu, Lei Chen, Sujia Wang, Jie Zhou, Yansong Tang |
| 2024 | AAAI | Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning. | Yanqi Ge, Qiang Nie, Ye Huang, Yong Liu, Chengjie Wang, Feng Zheng, Wen Li, Lixin Duan |
| 2024 | AAAI | High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm. | Jian Li, Yong Liu, Weiping Wang |
| 2024 | AAAI | FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning. | Jian Li, Yong Liu, Weiping Wang |
| 2024 | AAAI | Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint). | Jian Li, Yong Liu, Weiping Wang |
| 2024 | AAAI | ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network. | Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang |
| 2024 | AAAI | RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction. | Tanvi Verma, Linh Le Dinh, Nicholas Tan, Xinxing Xu, Ching-Yu Cheng, Yong Liu |
| 2024 | AAAI | A Multimodal, Multi-Task Adapting Framework for Video Action Recognition. | Mengmeng Wang, Jiazheng Xing, Boyuan Jiang, Jun Chen, Jianbiao Mei, Xingxing Zuo, Guang Dai, Jingdong Wang, Yong Liu |
| 2024 | AAAI | WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. | Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu |
| 2024 | ACL | Towards Tracing Trustworthiness Dynamics: Revisiting Pre-training Period of Large Language Models. | Chen Qian, Jie Zhang, Wei Yao, Dongrui Liu, Zhenfei Yin, Yu Qiao, Yong Liu, Jing Shao |
| 2024 | ACL | ETAS: Zero-Shot Transformer Architecture Search via Network Trainability and Expressivity. | Jiechao Yang, Yong Liu |
| 2024 | ACML | Multi-Task Network Guided Multimodal Fusion for Fake News Detection. | Jinke Ma, Liyuan Zhang, Yong Liu, Wei Zhang |
| 2024 | APWEB | External Knowledge Enhancing Meta-learning Framework for Few-Shot Text Classification via Contrastive Learning and Adversarial Network. | Xin Sun, Yan Yang, Yong Liu |
| 2024 | BMVC | Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes. | Donghao Zhou, Jialin Li, Jinpeng Li, Jiancheng Huang, Qiang Nie, Yong Liu, Bin-Bin Gao, Qiong Wang, Pheng-Ann Heng, Guangyong Chen |
| 2024 | CIKM | Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. | Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates |
| 2024 | COMPSAC | Neural-MBFL: Improving Mutation-Based Fault Localization by Neural Mutation. | Bin Du, Baolong Han, Hengyuan Liu, Zexing Chang, Yong Liu, Xiang Chen |
| 2024 | CVPR | SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking. | Xiaojun Hou, Jiazheng Xing, Yijie Qian, Yaowei Guo, Shuo Xin, Junhao Chen, Kai Tang, Mengmeng Wang, Zhengkai Jiang, Liang Liu, Yong Liu |
| 2024 | CVPR | LORS: Low-Rank Residual Structure for Parameter-Efficient Network Stacking. | Jialin Li, Qiang Nie, Weifu Fu, Yuhuan Lin, Guangpin Tao, Yong Liu, Chengjie Wang |
| 2024 | CVPR | Open-Vocabulary Segmentation with Semantic-Assisted Calibration. | Yong Liu, Sule Bai, Guanbin Li, Yitong Wang, Yansong Tang |
| 2024 | CVPR | Universal Segmentation at Arbitrary Granularity with Language Instruction. | Yong Liu, Cairong Zhang, Yitong Wang, Jiahao Wang, Yujiu Yang, Yansong Tang |
| 2024 | CVPR | An Aggregation-Free Federated Learning for Tackling Data Heterogeneity. | Yuan Wang, Huazhu Fu, Renuga Kanagavelu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh |
| 2024 | CVPR | MaxQ: Multi-Axis Query for N: m Sparsity Network. | Jingyang Xiang, Siqi Li, Junhao Chen, Zhuangzhi Chen, Tianxin Huang, Linpeng Peng, Yong Liu |
| 2024 | CVPR | Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection. | Yicheng Xiao, Zhuoyan Luo, Yong Liu, Yue Ma, Hengwei Bian, Yatai Ji, Yujiu Yang, Xiu Li |
| 2024 | CVPR | Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models. | Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu |
| 2024 | DASFAA | Advancing Latent Representation Ranking for Masked Graph Autoencoder. | Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu |
| 2024 | EACL | Parameter-Efficient Conversational Recommender System as a Language Processing Task. | Mathieu Ravaut, Hao Zhang, Lu Xu, Aixin Sun, Yong Liu |
| 2024 | ECCV | Face-Adapter for Pre-trained Diffusion Models with Fine-Grained ID and Attribute Control. | Yue Han, Junwei Zhu, Keke He, Xu Chen, Yanhao Ge, Wei Li, Xiangtai Li, Jiangning Zhang, Chengjie Wang, Yong Liu |
| 2024 | ECCV | Tuning-Free Image Customization with Image and Text Guidance. | Pengzhi Li, Qiang Nie, Ying Chen, Xi Jiang, Kai Wu, Yuhuan Lin, Yong Liu, Jinlong Peng, Chengjie Wang, Feng Zheng |
| 2024 | ECCV | OvSW: Overcoming Silent Weights for Accurate Binary Neural Networks. | Jingyang Xiang, Zuohui Chen, Siqi Li, Qing Wu, Yong Liu |
| 2024 | ECCV | Timestep-Aware Correction for Quantized Diffusion Models. | Yuzhe Yao, Feng Tian, Jun Chen, Haonan Lin, Guang Dai, Yong Liu, Jingdong Wang |
| 2024 | EMNLP | MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing. | Kuicai Dong, Derrick-Goh-Xin Deik, Yi Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu |
| 2024 | EMNLP | Structured Optimal Brain Pruning for Large Language Models. | Jiateng Wei, Quan Lu, Ning Jiang, Siqi Li, Jingyang Xiang, Jun Chen, Yong Liu |
| 2024 | ETS | A Novel Power Analysis Attack against CRYSTALS-Dilithium Implementation. | Yong Liu, Yuejun Liu, Yongbin Zhou, Yiwen Gao, Zehua Qiao, Huaxin Wang |
| 2024 | GLOBECOM | AoI-oriented Adaptive Cooperative Transmission and Scheduling for Wireless Powered IoT Networks. | Luoyu Zhang, Yunfeng Chen, Yong Liu, Yu Huang, Lei Zheng, Fen Hou, Lin X. Cai |
| 2024 | ICASSP | DCS: Debiased Contrastive Learning with Weak Supervision for Time Series Classification. | Rongyao Cai, Linpeng Peng, Zhengming Lu, Kexin Zhang, Yong Liu |
| 2024 | ICASSP | GFMAE: Self-Supervised GNN-Free Masked Autoencoders. | Yulan Hu, Sheng Ouyang, Zhirui Yang, Yi Zhao, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Yong Liu |
| 2024 | ICASSP | CKT-RCM: Clip-Based Knowledge Transfer and Relational Context Mining for Unbiased Panoptic Scene Graph Generation. | Nanhao Liang, Yong Liu, Wenfang Sun, Yingwei Xia, Fan Wang |
| 2024 | ICASSP | Skip-Step Contrastive Predictive Coding for Time Series Anomaly Detection. | Kexin Zhang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yong Liu |
| 2023 | AAAI | AdaCM: Adaptive ColorMLP for Real-Time Universal Photo-Realistic Style Transfer. | Tianwei Lin, Honglin Lin, Fu Li, Dongliang He, Wenhao Wu, Meiling Wang, Xin Li, Yong Liu |
| 2023 | AAAI | Understanding the Generalization Performance of Spectral Clustering Algorithms. | Shaojie Li, Sheng Ouyang, Yong Liu |
| 2023 | AAAI | MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series. | Qianwen Meng, Hangwei Qian, Yong Liu, Lizhen Cui, Yonghui Xu, Zhiqi Shen |
| 2023 | AAAI | Revisiting Item Promotion in GNN-Based Collaborative Filtering: A Masked Targeted Topological Attack Perspective. | Yongwei Wang, Yong Liu, Zhiqi Shen |
| 2023 | AAAI | Revisiting the Spatial and Temporal Modeling for Few-Shot Action Recognition. | Jiazheng Xing, Mengmeng Wang, Yong Liu, Boyu Mu |
| 2023 | AAAI | Next POI Recommendation with Dynamic Graph and Explicit Dependency. | Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang, Peng Han |
| 2023 | ACML | Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. | Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu |
| 2023 | ACNS | A Novel Automatic Technique Based on MILP to Search for Impossible Differentials. | Yong Liu, Zejun Xiang, Siwei Chen, Shasha Zhang, Xiangyong Zeng |
| 2023 | CIKM | Contrastive Learning for Rumor Detection via Fitting Beta Mixture Model. | Jiachen Ma, Jing Dai, Yong Liu, Meng Han, Chunyu Ai |
| 2023 | CIKM | DFFM: Domain Facilitated Feature Modeling for CTR Prediction. | Wei Guo, Chenxu Zhu, Fan Yan, Bo Chen, Weiwen Liu, Huifeng Guo, Hongkun Zheng, Yong Liu, Ruiming Tang |
| 2023 | CIKM | Adaptive Multi-Modalities Fusion in Sequential Recommendation Systems. | Hengchang Hu, Wei Guo, Yong Liu, Min-Yen Kan |
| 2023 | CIKM | Graph Contrastive Learning with Graph Info-Min. | En Meng, Yong Liu |
| 2023 | CIKM | Network Embedding with Adaptive Multi-hop Contrast. | Chenhao Wang, Yong Liu, Yan Yang |
| 2023 | CIKM | The 1st Workshop on Recommendation with Generative Models. | Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun |
| 2023 | CIKM | APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. | Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2023 | COMPSAC | Improving Fault Localization by Complex-Fault Oriented Higher-Order Mutant Generation. | Zexing Chang, Yong Liu, Shumei Wu, Paul Doyle, Haifeng Wang, Xiang Chen |
| 2023 | COMPSAC | SGS: Mutant Reduction for Higher-order Mutation-based Fault Localization. | Luxi Fan, Zheng Li, Hengyuan Liu, Paul Doyle, Haifeng Wang, Xiang Chen, Yong Liu |
| 2023 | COMPSAC | Identifying Coincidental Correct Test Cases with Multiple Features Extraction for Fault Localization. | Yonghao Wu, Shuaihua Tian, Zezhong Yang, Zheng Li, Yong Liu, Xiang Chen |
| 2023 | CoRL | TraCo: Learning Virtual Traffic Coordinator for Cooperation with Multi-Agent Reinforcement Learning. | Weiwei Liu, Wei Jing, Lingping Gao, Ke Guo, Gang Xu, Yong Liu |
| 2023 | CVPR | Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution. | Xuhai Chen, Jiangning Zhang, Chao Xu, Yabiao Wang, Chengjie Wang, Yong Liu |
| 2023 | CVPR | Learning Federated Visual Prompt in Null Space for MRI Reconstruction. | Chun-Mei Feng, Bangjun Li, Xinxing Xu, Yong Liu, Huazhu Fu, Wangmeng Zuo |
| 2023 | CVPR | Adaptive Assignment for Geometry Aware Local Feature Matching. | Dihe Huang, Ying Chen, Yong Liu, Jianlin Liu, Shang Xu, Wenlong Wu, Yikang Ding, Fan Tang, Chengjie Wang |
| 2023 | CVPR | Learning to Measure the Point Cloud Reconstruction Loss in a Representation Space. | Tianxin Huang, Zhonggan Ding, Jiangning Zhang, Ying Tai, Zhenyu Zhang, Mingang Chen, Chengjie Wang, Yong Liu |
| 2023 | CVPR | Fair Scratch Tickets: Finding Fair Sparse Networks without Weight Training. | Pengwei Tang, Wei Yao, Zhicong Li, Yong Liu |
| 2023 | CVPR | Correlation Pyramid Network for 3D Single Object Tracking. | Mengmeng Wang, Teli Ma, Xingxing Zuo, Jiajun Lv, Yong Liu |
| 2023 | CVPR | RIFormer: Keep Your Vision Backbone Effective But Removing Token Mixer. | Jiahao Wang, Songyang Zhang, Yong Liu, Taiqiang Wu, Yujiu Yang, Xihui Liu, Kai Chen, Ping Luo, Dahua Lin |
| 2023 | CVPR | High-Fidelity Generalized Emotional Talking Face Generation with Multi-Modal Emotion Space Learning. | Chao Xu, Junwei Zhu, Jiangning Zhang, Yue Han, Wenqing Chu, Ying Tai, Chengjie Wang, Zhifeng Xie, Yong Liu |
| 2023 | CVPR | HOTNAS: Hierarchical Optimal Transport for Neural Architecture Search. | Jiechao Yang, Yong Liu, Hongteng Xu |
| 2023 | ECAI | High Probability Analysis for Non-Convex Stochastic Optimization with Clipping. | Shaojie Li, Yong Liu |
| 2023 | ESORICS | Curveball+: Exploring Curveball-Like Vulnerabilities of Implicit Certificate Validation. | Yajun Teng, Wei Wang, Jun Shao, Huiqing Wan, Heqing Huang, Yong Liu, Jingqiang Lin |
| 2023 | GLOBECOM | DRL-TAL: Deep Reinforcement Learning-Based Traffic-Aware Load Balancing in Data Center Networks. | Guoyong Jiang, Wenting Wei, Kun Wang, Chengding Pang, Yong Liu |
| 2023 | ICCS | Data Heterogeneity Differential Privacy: From Theory to Algorithm. | Yilin Kang, Jian Li, Yong Liu, Weiping Wang |
| 2023 | ICCV | Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. | Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu |
| 2023 | ICCV | Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. | Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo |
| 2023 | ICCV | Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. | Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei |
| 2023 | ICCV | RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction. | Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu |
| 2023 | ICCV | Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking. | Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu |
| 2023 | ICCV | Learning Global-aware Kernel for Image Harmonization. | Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu |
| 2022 | AAAI | Distributed Randomized Sketching Kernel Learning. | Rong Yin, Yong Liu, Dan Meng |
| 2022 | AAAI | Guide Local Feature Matching by Overlap Estimation. | Ying Chen, Dihe Huang, Shang Xu, Jianlin Liu, Yong Liu |
| 2022 | AAAI | Go Wider Instead of Deeper. | Fuzhao Xue, Ziji Shi, Futao Wei, Yuxuan Lou, Yong Liu, Yang You |
| 2022 | AAAI | SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution. | Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang, Ying Tai, Yong Liu |
| 2022 | BMVC | CICC: Channel Pruning via the Concentration of Information and Contributions of Channels. | Yihao Chen, Zhishan Li, Yingqing Yang, Lei Xie, Yong Liu, Longhua Ma, Shanqi Liu, Guanzhong Tian |
| 2022 | CIKM | Sharper Utility Bounds for Differentially Private Models: Smooth and Non-smooth. | Yilin Kang, Yong Liu, Jian Li, Weiping Wang |
| 2022 | CIKM | Memory Bank Augmented Long-tail Sequential Recommendation. | Yidan Hu, Yong Liu, Chunyan Miao, Yuan Miao |
| 2022 | CIKM | Embedding Global and Local Influences for Dynamic Graphs. | Meng Liu, Jiaming Wu, Yong Liu |
| 2022 | CIKM | Curriculum Contrastive Learning for Fake News Detection. | Jiachen Ma, Yong Liu, Meng Liu, Meng Han |
| 2022 | CIKM | Graph Representation Learning via Adaptive Multi-layer Neighborhood Diffusion Contrast. | Jijie Zhang, Yan Yang, Yong Liu, Meng Han, Shaowei Yin |
| 2022 | CVPR | Towards Efficient and Scalable Sharpness-Aware Minimization. | Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You |
| 2022 | CVPR | CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. | Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu |
| 2022 | CVPR | Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase. | Huayi Tang, Yong Liu |
| 2022 | CVPR | Region-Aware Face Swapping. | Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu |
| 2022 | CVPR | Class-Aware Contrastive Semi-Supervised Learning. | Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng |
| 2022 | DASFAA | A Dynamic Heterogeneous Graph Perception Network with Time-Based Mini-Batch for Information Diffusion Prediction. | Wei Fan, Meng Liu, Yong Liu |
| 2022 | DASFAA | Diffusion-Based Graph Contrastive Learning for Recommendation with Implicit Feedback. | Lingzi Zhang, Yong Liu, Xin Zhou, Chunyan Miao, Guoxin Wang, Haihong Tang |
| 2022 | DASFAA | SAER: Sentiment-Opinion Alignment Explainable Recommendation. | Xiaoning Zong, Yong Liu, Yonghui Xu, Yixin Zhang, Zhiqi Shen, Yonghua Yang, Lizhen Cui |
| 2022 | ECCV | Learning to Train a Point Cloud Reconstruction Network Without Matching. | Tianxin Huang, Xuemeng Yang, Jiangning Zhang, Jinhao Cui, Hao Zou, Jun Chen, Xiangrui Zhao, Yong Liu |
| 2022 | ECCV | Resolution-Free Point Cloud Sampling Network with Data Distillation. | Tianxin Huang, Jiangning Zhang, Jun Chen, Yuang Liu, Yong Liu |
| 2022 | ECCV | Global Spectral Filter Memory Network for Video Object Segmentation. | Yong Liu, Ran Yu, Jiahao Wang, Xinyuan Zhao, Yitong Wang, Yansong Tang, Yujiu Yang |
| 2022 | ECCV | Learning Quality-aware Dynamic Memory for Video Object Segmentation. | Yong Liu, Ran Yu, Fei Yin, Xinyuan Zhao, Wei Zhao, Weihao Xia, Yujiu Yang |
| 2022 | ECCV | E-NeRV: Expedite Neural Video Representation with Disentangled Spatial-Temporal Context. | Zizhang Li, Mengmeng Wang, Huaijin Pi, Kechun Xu, Jianbiao Mei, Yong Liu |
| 2022 | ECCV | Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping. | Chao Xu, Jiangning Zhang, Yue Han, Guanzhong Tian, Xianfang Zeng, Ying Tai, Yabiao Wang, Chengjie Wang, Yong Liu |
| 2022 | ECCV | SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud. | Xiangrui Zhao, Sheng Yang, Tianxin Huang, Jun Chen, Teng Ma, Mingyang Li, Yong Liu |
| 2022 | EMNLP | History-Aware Hierarchical Transformer for Multi-session Open-domain Dialogue System. | Tong Zhang, Yong Liu, Boyang Li, Zhiwei Zeng, Pengwei Wang, Yuan You, Chunyan Miao, Lizhen Cui |
| 2022 | HPCC | Study on temperature and humidity coupling control of plant factory based on ANFIS. | Jiayao Liu, Xiaokun Gu, Yong Liu, Wenwen Hu, Shipu Xu, Yunsheng Wang |
| 2022 | ICANN | Deep Graph and Sequence Representation Learning for Drug Response Prediction. | Xiangfeng Yan, Yong Liu, Wei Zhang |
| 2022 | ICARCV | Airfoil Inverse Design using Conditional Generative Adversarial Networks. | Xavier Tan, Manna Dai, Joyjit Chattoraj, Yong Liu, Xinxing Xu, My Ha Dao, Feng Yang |
| 2021 | AAAI | A Hybrid Bandit Framework for Diversified Recommendation. | Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang |
| 2021 | AAAI | FCFR-Net: Feature Fusion based Coarse-to-Fine Residual Learning for Depth Completion. | Lina Liu, Xibin Song, Xiaoyang Lyu, Junwei Diao, Mengmeng Wang, Yong Liu, Liangjun Zhang |
| 2021 | AAAI | HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation. | Xiaoyang Lyu, Liang Liu, Mengmeng Wang, Xin Kong, Lina Liu, Yong Liu, Xinxin Chen, Yi Yuan |
| 2021 | AAAI | Structure-aware Person Image Generation with Pose Decomposition and Semantic Correlation. | Jilin Tang, Yi Yuan, Tianjia Shao, Yong Liu, Mengmeng Wang, Kun Zhou |
| 2021 | AAAI | One-shot Face Reenactment Using Appearance Adaptive Normalization. | Guangming Yao, Yi Yuan, Tianjia Shao, Shuang Li, Shanqi Liu, Yong Liu, Mengmeng Wang, Kun Zhou |
| 2021 | AAAI | Keyword-Guided Neural Conversational Model. | Peixiang Zhong, Yong Liu, Hao Wang, Chunyan Miao |
| 2021 | ACL | CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. | Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang |
| 2021 | CIKM | Unsupervised Categorical Representation Learning for Package Arrival Time Prediction. | Yang Li, Xingyu Wu, Jinglong Wang, Yong Liu, Xiaoqing Wang, Yuming Deng, Chunyan Miao |
| 2021 | CIKM | The Skyline of Counterfactual Explanations for Machine Learning Decision Models. | Yongjie Wang, Qinxu Ding, Ke Wang, Yue Liu, Xingyu Wu, Jinglong Wang, Yong Liu, Chunyan Miao |
| 2021 | COMPSAC | CLACER: A Deep Learning-based Compilation Error Classification Method for Novice Students' Programs. | Zheng Li, Fuxiang Sun, Haifeng Wang, Yifan Ding, Yong Liu, Xiang Chen |
| 2021 | COMPSAC | Weighted Reward for Reinforcement Learning based Test Case Prioritization in Continuous Integration Testing. | Guowei Li, Yang Yang, Zhaolin Wu, Tiange Cao, Yong Liu, Zheng Li |
| 2021 | DEXA | Diversified Pattern Mining on Large Graphs. | Xin Wang, Liang Tang, Yong Liu, Huayi Zhan, Xuanzhe Feng |
| 2021 | EMNLP | EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning. | Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu |
| 2021 | ICANN | SageDy: A Novel Sampling and Aggregating Based Representation Learning Approach for Dynamic Networks. | Jiaming Wu, Meng Liu, Jiangting Fan, Yong Liu, Meng Han |
| 2021 | ICASSP | A Quantitative Metric for Privacy Leakage in Federated Learning. | Yong Liu, Xinghua Zhu, Jianzong Wang, Jing Xiao |
| 2021 | ICCV | RFNet: Recurrent Forward Network for Dense Point Cloud Completion. | Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu |
| 2021 | ICCV | Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. | Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang |
| 2020 | AAAI | Diversified Interactive Recommendation with Implicit Feedback. | Yong Liu, Yingtai Xiao, Qiong Wu, Chunyan Miao, Juyong Zhang, Binqiang Zhao, Haihong Tang |
| 2020 | AAAI | Automated Spectral Kernel Learning. | Jian Li, Yong Liu, Weiping Wang |
| 2020 | AAAI | Multi-Agent Game Abstraction via Graph Attention Neural Network. | Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao |
| 2020 | AAAI | RoboCoDraw: Robotic Avatar Drawing with GAN-Based Style Transfer and Time-Efficient Path Optimization. | Tianying Wang, Wei Qi Toh, Hao Zhang, Xiuchao Sui, Shaohua Li, Yong Liu, Wei Jing |
| 2020 | AAAI | From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. | Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao |
| 2020 | AAAI | Divide-and-Conquer Learning with Nystrm: Optimal Rate and Algorithm. | Rong Yin, Yong Liu, Lijing Lu, Weiping Wang, Dan Meng |
| 2020 | AAAI | Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose. | Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu |
| 2020 | AAAI | FDN: Feature Decoupling Network for Head Pose Estimation. | Hao Zhang, Mengmeng Wang, Yong Liu, Yi Yuan |
| 2020 | ACML | Network Representation Learning Algorithm Based on Neighborhood Influence Sequence. | Meng Liu, Ziwei Quan, Yong Liu |
| 2020 | APWEB | NSTI-IC: An Independent Cascade Model Based on Neighbor Structures and Topic-Aware Interest. | Chuhan Zhang, Yueshuang Yin, Yong Liu |
| 2020 | COMPSAC | IRBFL: An Information Retrieval Based Fault Localization Approach. | Zheng Li, Xue Bai, Haifeng Wang, Yong Liu |
| 2020 | COMPSAC | Using Fine-Grained Test Cases for Improving Novice Program Fault Localization. | Zheng Li, Deli Yu, Yonghao Wu, Yong Liu |
| 2020 | CVPR | Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation. | Liang Liu, Jiangning Zhang, Ruifei He, Yong Liu, Yabiao Wang, Ying Tai, Donghao Luo, Chengjie Wang, Jilin Li, Feiyue Huang |
| 2020 | CVPR | FReeNet: Multi-Identity Face Reenactment. | Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong Liu, Yu Ding, Changjie Fan |
| 2020 | ECCV | Dive Deeper into Box for Object Detection. | Ran Chen, Yong Liu, Mengdan Zhang, Shu Liu, Bei Yu, Yu-Wing Tai |
| 2020 | ECCV | DTVNet: Dynamic Time-Lapse Video Generation via Single Still Image. | Jiangning Zhang, Chao Xu, Liang Liu, Mengmeng Wang, Xia Wu, Yong Liu, Yunliang Jiang |
| 2020 | EMNLP | Towards Persona-Based Empathetic Conversational Models. | Peixiang Zhong, Chen Zhang, Hao Wang, Yong Liu, Chunyan Miao |
| 2020 | ICASSP | APB2FACE: Audio-Guided Face Reenactment with Auxiliary Pose and Blink Signals. | Jiangning Zhang, Liang Liu, Zhucun Xue, Yong Liu |
| 2020 | ICCS | Hashing Based Prediction for Large-Scale Kernel Machine. | Lijing Lu, Rong Yin, Yong Liu, Weiping Wang |
| 2019 | AAAI | Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data. | Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao |
| 2019 | AAAI | Approximate Kernel Selection with Strong Approximate Consistency. | Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao |
| 2019 | ADMA | PRME-GTS: A New Successive POI Recommendation Model with Temporal and Social Influences. | Rubai Mao, Zhe Han, Zitu Liu, Yong Liu, Xingfeng Lv, Ping Xuan |
| 2019 | APWEB | Time Optimal Profit Maximization in a Social Network. | Yong Liu, Zitu Liu, Shengnan Xie, Xiaokun Li |
| 2019 | CCGRID | An Evaluation of Transfer Learning for Classifying Sales Engagement Emails at Large Scale. | Yong Liu, Pavel A. Dmitriev, Yifei Huang, Andrew Brooks, Li Dong |
| 2019 | COCOA | Identifying Structural Hole Spanners in Social Networks via Graph Embedding. | Sijie Chen, Ziwei Quan, Yong Liu |
| 2019 | CVPR | What Elements are Essential to Recognize Human Actions? | Yachun Li, Yong Liu, Chi Zhang |
| 2019 | DASC | A Novel Strategy for Barrier Confident Information Coverage in Sensor Networks. | Yalan Jiang, Lingzhi Yi, Lu Zhu, Zhenkun Jin, Xianjun Deng, Minghua Wang, Yong Liu, Xiangyang Li |
| 2019 | DASFAA | Accelerating Real-Time Tracking Applications over Big Data Stream with Constrained Space. | Guangjun Wu, Xiaochun Yun, Shupeng Wang, Ge Fu, Chao Li, Yong Liu, Binbin Li, Yong Wang, Zhihui Zhao |
| 2019 | GLOBECOM | Hierarchical Chain Based Transmission Protocol for Massive IoTs Network with Energy Harvesting. | Xuehan Chen, Yong Liu, Mengqi Han, Zhigang Chen, Lin X. Cai, Yu Cheng, Bin Lin |
| 2019 | ICCS | Representation Learning of Taxonomies for Taxonomy Matching. | Hailun Lin, Yong Liu, Peng Zhang, Jianwu Wang |
| 2019 | ICCV | Face-to-Parameter Translation for Game Character Auto-Creation. | Tianyang Shi, Yi Yuan, Changjie Fan, Zhengxia Zou, Zhenwei Shi, Yong Liu |
| 2018 | AAAI | Randomized Kernel Selection With Spectra of Multilevel Circulant Matrices. | Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao |
| 2018 | AAAI | SC2Net: Sparse LSTMs for Sparse Coding. | Joey Tianyi Zhou, Kai Di, Jiawei Du, Xi Peng, Hao Yang, Sinno Jialin Pan, Ivor W. Tsang, Yong Liu, Zheng Qin, Rick Siow Mong Goh |
| 2018 | ACCV | Generative Adversarial Networks (GANs) for Retinal Fundus Image Synthesis. | Valentina Bellemo, Philippe Burlina, Yong Liu, Tien Yin Wong, Daniel Shu Wei Ting |
| 2018 | CVPR | Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships. | Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen |
| 2018 | ICARCV | A Learning-based Approach for Error Compensation of Industrial Manipulator with Hybrid Model. | Wei Jing, Joey Tianyi Zhou, Fei Gao, Yong Liu, Pey Yuen Tao, Guilin Yang |
| 2017 | AAAI | Generalization Analysis for Ranking Using Integral Operator. | Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang |
| 2017 | AAAI | Infinite Kernel Learning: Generalization Bounds and Algorithms. | Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang |
| 2017 | ADMA | An Empirical Study on Collective Online Behaviors of Extremist Supporters. | Jung-Jae Kim, Yong Liu, Wee-Yong Lim, Vrizlynn L. L. Thing |
| 2017 | CCGRID | Performance Modelling and Cost Effective Execution for Distributed Graph Processing on Configurable VMs. | Zengxiang Li, Bowen Zhang, Shen Ren, Yong Liu, Zheng Qin, Rick Siow Mong Goh, Mohan Gurusamy |
| 2017 | COMPSAC | Fault Classification Oriented Spectrum Based Fault Localization. | Xiujing Liu, Yong Liu, Zheng Li, Ruilian Zhao |
| 2017 | CSCWD | Ensemble of surrogates with an evolutionary multi-agent system. | Yong Liu, Wang Chen, Jianjun Hu, Xiaojun Zheng, Yanjun Shi |
| 2017 | CVPR | Large Margin Object Tracking with Circulant Feature Maps. | Mengmeng Wang, Yong Liu, Zeyi Huang |
| 2017 | FUSION | Track filtering for space-based maritime surveillance in geographic coordinates. | Yong Liu, Zhimin Zhou, Libo Yao, Wei Xiong |
| 2017 | ICCS | Learning Entity and Relation Embeddings for Knowledge Resolution. | Hailun Lin, Yong Liu, Weiping Wang, Yinliang Yue, Zheng Lin |
| 2016 | AAAI | Information Credibility Evaluation on Social Media. | Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan |
| 2016 | GLOBECOM | Design and Evaluation of a WiFi-Direct Based LTE Cooperative Video Streaming System. | Qiang Gong, Yuchun Guo, Yishuai Chen, Yong Liu, Feng Xie |
| 2016 | GLOBECOM | On the Adaptive Transmission Scheme in Buffer-Aided Wireless Powered Relay Network. | Yong Liu, Qingchun Chen, Xiaohu Tang |
| 2015 | AAAI | Eigenvalues Ratio for Kernel Selection of Kernel Methods. | Yong Liu, Shizhong Liao |
| 2015 | CEC | A modified cuckoo search algorithm for flow shop scheduling problem with blocking. | Hui Wang, Wenjun Wang, Hui Sun, Changhe Li, Shahryar Rahnamayan, Yong Liu |
| 2015 | GLOBECOM | A Fast Multi-Server, Multi-Block Private Information Retrieval Protocol. | Luqin Wang, Trishank Karthik Kuppusamy, Yong Liu, Justin Cappos |
| 2014 | CHI | CHI 1994-2013: mapping two decades of intellectual progress through co-word analysis. | Yong Liu, Jorge Gonalves, Denzil Ferreira, Bei Xiao, Simo Hosio, Vassilis Kostakos |
| 2014 | CIKM | Exploiting Geographical Neighborhood Characteristics for Location Recommendation. | Yong Liu, Wei Wei, Aixin Sun, Chunyan Miao |
| 2014 | DASC | Ensemble Learning with Correlation-Based Penalty. | Yong Liu, Qiangfu Zhao, Yan Pei |
| 2014 | ECIR | A Two-level Approach for Subtitle Alignment. | Jia Huang, Hao Ding, Xiaohua Hu, Yong Liu |
| 2014 | FUSION | Fuzzy-belief K-nearest neighbor classifier for uncertain data. | Zhunga Liu, Quan Pan, Jean Dezert, Grgoire Mercier, Yong Liu |
| 2014 | ICA3PP | Quantitative Analysis for the Development of Maritime Transport Efficiency. | Wenbo Zhang, Zhaolin Wu, Yong Liu, Zebing Li |
| 2013 | CIKM | Eigenvalues perturbation of integral operator for kernel selection. | Yong Liu, Shali Jiang, Shizhong Liao |
| 2013 | CIKM | Personalized point-of-interest recommendation by mining users' preference transition. | Xin Liu, Yong Liu, Karl Aberer, Chunyan Miao |
| 2013 | FUSION | Suitability analysis based on multi-feature fusion visual saliency model in vision navigation. | Zhenlu Jin, Quan Pan, Chunhui Zhao, Yong Liu |
| 2012 | CEC | An improved method for multi-objective clustering ensemble algorithm. | Ruochen Liu, Yong Liu, Yangyang Li |
| 2012 | CoNEXT | Towards agile and smooth video adaptation in dynamic HTTP streaming. | Guibin Tian, Yong Liu |
| 2011 | ACSSC | User clustering and energy efficient cooperation in cellular networks. | Jinhong Wu, Harry Z. B. Chen, Yong Liu, Liyu Cai |
| 2011 | CIKM | Learning kernels with upper bounds of leave-one-out error. | Yong Liu, Shizhong Liao, Yuexian Hou |
| 2011 | CIS | An Error Bound for Eigenvalues of Graph Laplacian with Bounded Kernel Function. | Yong Liu, Shizhong Liao |
| 2010 | ACCV | Latent Gaussian Mixture Regression for Human Pose Estimation. | Yan Tian, Leonid Sigal, Hernn Badino, Fernando De la Torre, Yong Liu |
| 2010 | CEC | Are long jumps of Cauchy mutations effective in fast evolutionary programming? | Yong Liu |
| 2010 | GLOBECOM | Opportunistic Overlay Multicast in Wireless Networks. | Tan Le, Yong Liu |
| 2010 | GLOBECOM | ViVUD: Virtual Server Cluster Based View-Upload Decoupling for Multi-Channel P2P Video Streaming Systems. | Chao Liang, Yong Liu |
| 2010 | GLOBECOM | Decentralized Robust Acoustic Source Localization with Wireless Sensor Networks for Heavy-Tail Distributed Observations. | Yong Liu, Yu Hen Hu, Quan Pan |
| 2009 | CISS | On unequal error protection with low density parity check codes in scalable video coding. | Yong Liu, Saad B. Qaisar, Hayder Radha, Aidong Men |
| 2009 | EATIS | Understanding learners' perspectives on m-learning: results from a survey. | Yong Liu, Feng Hu, Hongxiu Li |
| 2009 | GECCO | Space transformation search: a new evolutionary technique. | Hui Wang, Zhijian Wu, Yong Liu, Jing Wang, Dazhi Jiang, Lili Chen |
| 2009 | GLOBECOM | SV-BCMCS: Scalable Video Multicast in Hybrid 3G/Ad-Hoc Networks. | Sha Hua, Yang Guo, Yong Liu, Hang Liu, Shivendra S. Panwar |
| 2009 | GLOBECOM | Robust Maximum Likelihood Acoustic Source Localization in Wireless Sensor Networks. | Yong Liu, Yu Hen Hu, Quan Pan |
| 2009 | GLOBECOM | Handling Double-Link Failures in Metro Ethernet Networks Using Fast Spanning Tree Reconnection. | Jian Qiu, Gurusamy Mohan, Kee Chaing Chua, Yong Liu |
| 2009 | HIS | The Design of IMS Based Video Surveillance System. | Jinghua Lin, Weimin Lei, Yong Liu |
| 2008 | AINA | How to Optimize the Cryptographic Symmetric Primitives on Loongson-2E Microprocessor. | Yong Liu, Zhong Chen, Yu Chen |
| 2008 | CEC | An improved Particle Swarm Optimization with adaptive jumps. | Hui Wang, Yong Liu, Zhijian Wu, Hui Sun, Sanyou Zeng, Lishan Kang |
| 2008 | CSCWD | Research on secure transmission of SOAP messages. | Yong Liu, Haixia Zhao, Yaowei Li |
| 2008 | CW | Domain Classification by Granular Computing used in a P2P Approach for Web Service Discovery. | Lican Huang, Yong Liu |
| 2008 | CW | An Estimation Distribution Algorithm of Optimum Path Planning for Mobile Robots. | Li Wang, Rong Xiong, Jian Chu, Yong Liu |
| 2008 | CW | HumRoboSim: An Autonomous Humanoid Robot Simulation System. | Qing Tang, Rong Xiong, Yong Liu, Jian Chu |
| 2007 | ACC | Integrated Control and Navigation for Omni-directional Mobile Robot Based on Trajectory Linearization. | Yong Liu, Robert L. Williams II, J. Jim Zhu |
| 2007 | ACC | Singular Perturbation Analysis for Trajectory Linearization Control. | Yong Liu, J. Jim Zhu |
| 2007 | ACC | Regular Perturbation Analysis for Trajectory Linearization Control. | Yong Liu, J. Jim Zhu |
| 2007 | CEC | Opposition-based particle swarm algorithm with cauchy mutation. | Hui Wang, Hui Li, Yong Liu, Changhe Li, Sanyou Zeng |
| 2007 | CIS | A Data Engine for Controller Area Network. | Weiming Tong, Chengde Tong, Yong Liu |
| 2007 | GLOBECOM | Discovery of In-Band Streaming Services in Peer-to-Peer Overlays. | John F. Buford, Angela Wang, Xiaojun Hei, Yong Liu, Keith W. Ross |
| 2007 | GLOBECOM | Hierarchically Clustered P2P Streaming System. | Chao Liang, Yang Guo, Yong Liu |
| 2007 | GLOBECOM | Joint Traffic Blocking and Routing Under Network Failures and Maintenances. | Chao Liang, Zihui Ge, Yong Liu |
| 2007 | HCI | A Large Scale Study of English-Chinese Online Dictionary Search Behavior. | Yong Liu, Jianmiao Fan |
| 2006 | AAAI | Ontology Based Semantic Modeling for Chinese Ancient Architectures. | Yong Liu, Congfu Xu, Qiong Zhang, Yunhe Pan |
| 2006 | CEC | Evolving Neural Network Ensembles by Fitness Sharing. | Yong Liu, Xin Yao |
| 2006 | ICARCV | Smooth Transition from Motion to Force Control in Robotic Manipulation Using Vision. | Olli Alkkiomki, Ville Kyrki, Heikki Klviinen, Yong Liu, Heikki Handroos |
| 2005 | EMO | An Efficient Multi-objective Evolutionary Algorithm: OMOEA-II. | Sanyou Zeng, Shuzhen Yao, Lishan Kang, Yong Liu |
| 2005 | GLOBECOM | Route optimization among a group of multihomed stub networks. | Yong Liu, A. L. Narasimha Reddy |
| 2005 | GRC | Improved rule based rough set approach for target recognition. | Yong Liu, Congfu Xu, Zhiyong Yan, Yunhe Pan |
| 2004 | APWEB | A Finite State Mobile Agent Computation Model. | Yong Liu, Congfu Xu, Zhaohui Wu, Weidong Chen, Yunhe Pan |
| 2004 | CIS | A Scalable and Reliable Mobile Agent Computation Model. | Yong Liu, Congfu Xu, Zhaohui Wu, Yunhe Pan |
| 2004 | ICCCN | A Fast Rerouting Scheme for OSPF/IS-IS Networks. | Yong Liu, A. L. Narasimha Reddy |
| 2002 | CEC | How to control search step size in fast evolutionary programming. | Yong Liu, Xin Yao |
| 2002 | GECCO | Search Step Size Control In Fast Evolutionary Programming. | Yong Liu, Xin Yao |
| 2002 | GECCO | Maintaining Population Diversity By Minimizing Mutual Information. | Yong Liu, Xin Yao |
| 2001 | CEC | Evolving neural networks for Hang Seng stock index forecast. | Yong Liu, Xin Yao |
| 2001 | CEC | Evolving a cooperative population of neural networks by minimizing mutual information. | Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi |
| 2001 | CEC | Scaling up fast evolutionary programming with cooperative coevolution. | Yong Liu, Xin Yao, Qiangfu Zhao, Tetsuya Higuchi |
| 1999 | CEC | Neural networks for breast cancer diagnosis. | Xin Yao, Yong Liu |
| 1993 | COMPSAC | An object-oriented prototyping approach to system development. | Takashi Arano, Carl K. Chang, Pattanasak Mongkolwat, Yong Liu, Xin Shu |
| 1991 | ICASSP | On sequentially detecting an abrupt change in a stochastic process. | Steven D. Blostein, Yong Liu |
| 1990 | ICASSP | Optimal binary image design based on the branch and bound algorithm. | Yong Liu, Avideh Zakhor |