Liu, Zheng

38 publications

ICML 2025 Enhancing Spectral GNNs: From Topology and Perturbation Perspectives Taoyang Qin, Ke-Jia Chen, Zheng Liu

IJCAI 2025 Feint and Attack: Jailbreaking and Protecting LLMs via Attention Distribution Modeling Rui Pu, Chaozhuo Li, Rui Ha, Zejian Chen, Litian Zhang, Zheng Liu, Lirong Qiu, Zaisheng Ye

CVPR 2025 Fuzzy Multimodal Learning for Trusted Cross-Modal Retrieval Siyuan Duan, Yuan Sun, Dezhong Peng, Zheng Liu, Xiaomin Song, Peng Hu

NeurIPS 2025 HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks Hongjin Qian, Zheng Liu, Chao Gao, Yankai Wang, Defu Lian, Zhicheng Dou

ICCV 2025 Learning to See in the Extremely Dark Hai Jiang, Binhao Guan, Zhen Liu, Xiaohong Liu, Jian Yu, Zheng Liu, Songchen Han, Shuaicheng Liu

ECML-PKDD 2025 Localized Heat Kernel for Graph Neural Networks Taoyang Qin, Ke-Jia Chen, Zheng Liu

ICLR 2025 Long Context Compression with Activation Beacon Peitian Zhang, Zheng Liu, Shitao Xiao, Ninglu Shao, Qiwei Ye, Zhicheng Dou

CVPR 2025 MLVU: Benchmarking Multi-Task Long Video Understanding Junjie Zhou, Yan Shu, Bo Zhao, Boya Wu, Zhengyang Liang, Shitao Xiao, Minghao Qin, Xi Yang, Yongping Xiong, Bo Zhang, Tiejun Huang, Zheng Liu

ICCV 2025 MMCR: Benchmarking Cross-Source Reasoning in Scientific Papers Yang Tian, Zheng Lu, Mingqi Gao, Zheng Liu, Bo Zhao

ICLR 2025 MMTEB: Massive Multilingual Text Embedding Benchmark Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzemiński, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Veysel Çağatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafał Poświata, Kranthi Kiran Gv, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Mariya Hendriksen, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri K, Maksimova Anna, Silvan Wehrli, Maria Tikhonova, Henil Shalin Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James Validad Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

AAAI 2025 MRR-FV: Unlocking Complex Fact Verification with Multi-Hop Retrieval and Reasoning Liwen Zheng, Chaozhuo Li, Litian Zhang, Haoran Jia, Senzhang Wang, Zheng Liu, Xi Zhang

ICLR 2025 Making Text Embedders Few-Shot Learners Chaofan Li, Minghao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Defu Lian, Yingxia Shao, Zheng Liu

NeurIPS 2025 MomentSeeker: A Task-Oriented Benchmark for Long-Video Moment Retrieval Huaying Yuan, Nijian, Zheng Liu, Yueze Wang, Junjie Zhou, Zhengyang Liang, Bo Zhao, Zhao Cao, Ji-Rong Wen, Zhicheng Dou

AAAI 2025 Noisy Label Calibration for Multi-View Classification Shilin Xu, Yuan Sun, Xingfeng Li, Siyuan Duan, Zhenwen Ren, Zheng Liu, Dezhong Peng

CVPR 2025 OmniGen: Unified Image Generation Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, Zheng Liu

ICCV 2025 STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding? Yun Li, Yiming Zhang, Tao Lin, Xiangrui Liu, Wenxiao Cai, Zheng Liu, Bo Zhao

NeurIPS 2025 Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging Hongjin Qian, Zheng Liu

ICLR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-Based Spiking Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang

NeurIPS 2025 Towards a Generalist Code Embedding Model Based on Massive Data Synthesis Chaofan Li, Jianlyu Chen, Yingxia Shao, Defu Lian, Zheng Liu

CVPR 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly Yexin Liu, Zhengyang Liang, Yueze Wang, Xianfeng Wu, Feilong Tang, Muyang He, Jian Li, Zheng Liu, Harry Yang, Sernam Lim, Bo Zhao

CVPR 2025 Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding Yan Shu, Zheng Liu, Peitian Zhang, Minghao Qin, Junjie Zhou, Zhengyang Liang, Tiejun Huang, Bo Zhao

AAAI 2025 You Should Learn to Stop Denoising on Point Clouds in Advance Chuchen Guo, Weijie Zhou, Zheng Liu, Ying He

NeurIPS 2024 Boosting the Potential of Large Language Models with an Intelligent Information Assistant Yujia Zhou, Zheng Liu, Zhicheng Dou

NeurIPSW 2024 OPI: An Open Instruction Dataset for Adapting Large Language Models to Protein-Related Tasks Hongwang Xiao, Wenjun Lin, Hui Wang, Zheng Liu, Qiwei Ye

CVPR 2023 Document Image Shadow Removal Guided by Color-Aware Background Ling Zhang, Yinghao He, Qing Zhang, Zheng Liu, Xiaolong Zhang, Chunxia Xiao

AAAI 2023 Lightweight Transformer for Multi-Modal Object Detection (Student Abstract) Yue Cao, Yanshuo Fan, Junchi Bin, Zheng Liu

CVPRW 2023 Multimodal Object Detection by Channel Switching and Spatial Attention Yue Cao, Junchi Bin, Jozsef Hamari, Erik Blasch, Zheng Liu

AAAI 2022 A Multimodal Fusion-Based LNG Detection for Monitoring Energy Facilities (Student Abstract) Junchi Bin, Choudhury A. Rahman, Shane Rogers, Shan Du, Zheng Liu

NeurIPS 2022 A Neural Corpus Indexer for Document Retrieval Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

AAAI 2022 Anisotropic Additive Quantization for Fast Inner Product Search Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen

NeurIPS 2022 Recommender Forest for Efficient Retrieval Chao Feng, Wuchao Li, Defu Lian, Zheng Liu, Enhong Chen

NeurIPS 2021 GraphFormers: GNN-Nested Transformers for Representation Learning on Textual Graph Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

ECCV 2020 All at Once: Temporally Adaptive Multi-Frame Interpolation with Advanced Motion Modeling Zhixiang Chi, Rasoul Mohammadi Nasiri, Zheng Liu, Juwei Lu, Jin Tang, Konstantinos N Plataniotis

NeurIPS 2020 Sampling-Decomposable Generative Adversarial Recommender Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen

IJCAI 2019 Hi-Fi Ark: Deep User Representation via High-Fidelity Archive Network Zheng Liu, Yu Xing, Fangzhao Wu, Mingxiao An, Xing Xie

ACML 2019 Multivariate Time Series Prediction Based on Optimized Temporal Convolutional Networks with Stacked Auto-Encoders Yunxiao Wang, Zheng Liu, Di Hu, Mian Zhang

CVPRW 2018 IR2VI: Enhanced Night Environmental Perception by Unsupervised Thermal Image Translation Shuo Liu, Vijay John, Erik Blasch, Zheng Liu, Ying Huang

CVPRW 2014 Use of Sparse Representation for Pedestrian Detection in Thermal Images Bin Qi, Vijay John, Zheng Liu, Seiichi Mita