- Yuhan Wang
, Wei Xing
, Junfeng Zhang
, Le Liu
, Xudong Zhao
:
Remote State Estimation Under DoS Attacks in CPSs With Arbitrary Tree Topology: A Bayesian Stackelberg Game Approach. IEEE Trans. Signal Inf. Process. over Networks 10: 527-538 (2024) - Zi-Ming Wang
, Xudong Zhao
, Xiaodi Li
, Xianfu Zhang
, Rui Mu
:
Energy-Based Control for Switched Uncertain Port-Controlled Hamiltonian Systems With Its Application to RLC Circuit Systems. IEEE Trans. Syst. Man Cybern. Syst. 54(1): 107-118 (2024) - Xudong Zhang
, Zhilin Lu
, Rui Zeng
, Jintao Wang
:
Quantization Adaptor for Bit-Level Deep Learning-Based Massive MIMO CSI Feedback. IEEE Trans. Veh. Technol. 73(4): 5443-5453 (2024) - Yuliang Sun, Xudong Zhang
, Yongwei Miao
:
A review of point cloud segmentation for understanding 3D indoor scenes. Vis. Intell. 2(1): 14 (2024) - Hengyu Zhang
, Zhilin Lu
, Xudong Zhang
, Jintao Wang
:
Data Augmentation for Bridging the Delay Gap in DL-Based Massive MIMO CSI Feedback. IEEE Wirel. Commun. Lett. 13(5): 1315-1319 (2024) - Hang Du, Guoshun Nan, Sicheng Zhang, Binzhu Xie, Junrui Xu, Hehe Fan, Qimei Cui, Xiaofeng Tao, Xudong Jiang:
DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding. AAAI 2024: 17933-17941 - Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai, Kun Kuang, Jun Xiao:
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation. AAAI 2024: 8661-8669 - Zhijie Nie, Richong Zhang, Zhongyuan Wang, Xudong Liu:
Code-Style In-Context Learning for Knowledge-Based Question Answering. AAAI 2024: 18833-18841 - Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang:
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense. AAAI 2024: 17575-17582 - Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian, Xin Tan, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie:
Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection. AAAI 2024: 7096-7104 - Yuan Ren, Xutong Li, Xudong Liu, Richong Zhang:
Few-Shot KBQA Method Based on Multi-Task Learning. BigComp 2024: 226-233 - Puneet Mathur, Zhe Liu, Ke Li, Yingyi Ma, Gil Keren, Zeeshan Ahmed, Dinesh Manocha, Xuedong Zhang:
DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation. LREC/COLING 2024: 5132-5139 - Yinfang Chen
, Huaibing Xie
, Minghua Ma
, Yu Kang
, Xin Gao
, Liu Shi
, Yunjie Cao
, Xuedong Gao
, Hao Fan
, Ming Wen
, Jun Zeng
, Supriyo Ghosh
, Xuchao Zhang
, Chaoyun Zhang
, Qingwei Lin
, Saravan Rajmohan
, Dongmei Zhang
, Tianyin Xu
:
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys 2024: 674-688 - Jingzhi Zhang, Xudong Li, Linghui Sun, Chengjie Bai:
DPM-Det: Diffusion Model Object Detection Based on DPM-Solver++ Guided Sampling. MMM (2) 2024: 379-393 - Wenling Zhang, Yixiao Li, Zhaotian Li, Hailong Sun, Xiang Gao, Xudong Liu:
ModelGalaxy: A Versatile Model Retrieval Platform. SIGIR 2024 - Xudong Wang, Li Niu, Junyan Cao, Yan Hong, Liqing Zhang:
Painterly Image Harmonization via Adversarial Residual Learning. WACV 2024: 5129-5138 - Shi Yin, Xinyang Pan, Xudong Zhu, Tianyu Gao, Haochong Zhang, Feng Wu, Lixin He:
Harmonizing Covariance and Expressiveness for Deep Hamiltonian Regression in Crystalline Material Research: a Hybrid Cascaded Regression Framework. CoRR abs/2401.00744 (2024) - Xudong Li, Jingyuan Zheng, Runze Hu, Yan Zhang, Ke Li, Yunhang Shen, Xiawu Zheng, Yutao Liu, Shengchuan Zhang, Pingyang Dai, Rongrong Ji:
Feature Denoising Diffusion Model for Blind Image Quality Assessment. CoRR abs/2401.11949 (2024) - Haotong Qin, Xudong Ma, Xingyu Zheng, Xiaoyang Li, Yang Zhang, Shouda Liu, Jie Luo, Xianglong Liu, Michele Magno:
Accurate LoRA-Finetuning Quantization of LLMs via Information Retention. CoRR abs/2402.05445 (2024) - Renxi Wang, Haonan Li, Xudong Han, Yixuan Zhang, Timothy Baldwin:
Learning From Failure: Integrating Negative Examples when Fine-tuning Large Language Models as Agents. CoRR abs/2402.11651 (2024) - Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Lizhi Lin, Zhenxuan Zhang, Jingru Zhao, Preslav Nakov, Timothy Baldwin:
A Chinese Dataset for Evaluating the Safeguards in Large Language Models. CoRR abs/2402.12193 (2024) - Xudong Lu, Qi Liu, Yuhui Xu, Aojun Zhou, Siyuan Huang, Bo Zhang, Junchi Yan, Hongsheng Li:
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models. CoRR abs/2402.14800 (2024) - Zhixiang Wang, Xudong Li, Tianle Liu, Yizhai Zhang, Panfeng Huang:
Efficient Continuous-Time Ego-Motion Estimation for Asynchronous Event-based Data Associations. CoRR abs/2402.16398 (2024) - Zhaoyang Lyu, Ben Fei, Jinyi Wang, Xudong Xu, Ya Zhang, Weidong Yang, Bo Dai:
GetMesh: A Controllable Model for High-quality Mesh Generation and Manipulation. CoRR abs/2403.11990 (2024) - Xiaotong Guo, Huijie Zhao, Shuwei Shao, Xudong Li, Baochang Zhang:
F2Depth: Self-supervised Indoor Monocular Depth Estimation via Optical Flow Consistency and Feature Map Synthesis. CoRR abs/2403.18443 (2024) - Lizhi Lin, Honglin Mu, Zenan Zhai, Minghan Wang, Yuxia Wang, Renxi Wang, Junjie Gao, Yixuan Zhang, Wanxiang Che, Timothy Baldwin, Xudong Han, Haonan Li:
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models. CoRR abs/2404.00629 (2024) - Xingyu Zheng, Haotong Qin, Xudong Ma, Mingyuan Zhang, Haojie Hao, Jiakai Wang, Zixiang Zhao, Jinyang Guo, Xianglong Liu:
BinaryDM: Towards Accurate Binarization of Diffusion Model. CoRR abs/2404.05662 (2024) - Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024) - Shen Zhang, Haojie Zhang, Jing Zhang, Xudong Zhang, Yimeng Zhuang, Jinting Wu:
Samsung Research China-Beijing at SemEval-2024 Task 3: A multi-stage framework for Emotion-Cause Pair Extraction in Conversations. CoRR abs/2404.16905 (2024) - Xiaoyu Wen, Chenjia Bai, Kang Xu, Xudong Yu, Yang Zhang, Xuelong Li, Zhen Wang:
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning. CoRR abs/2405.06192 (2024)