| 2024年会议论文 |
| 序号 |
作者 |
论文题目 |
会议名称(全称) |
时间/地点 |
| 1 |
Guo Pu, Yiming Zhao, Zhouhui Lian* |
Pano2Room: Novel View Synthesis from a Single Indoor Panorama |
The 17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia |
Dec 12-16,2024,Toyko,Japan |
| 2 |
Yitian Liu, Zhouhui Lian* |
QT-Font: High-efficiency Font Synthesis via Quadtree-based Diffusion Models |
Special Interest Group on Computer Graphics 2024 |
July 28 -August1，DENVER,CO |
| 3 |
Yiming Zhao, Zhouhui Lian* |
UDiffText: A Unified Framework for High-quality Text Synthesis in Arbitrary Images via Character-aware Diffusion Models |
European Conference on Computer Vision |
Sep.28-Oct.4,Milan, Italy |
| 4 |
Jialei Cui, Jianwei Du, Wenzhuo Liu, Zhouhui Lian* |
TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 5 |
Yitian Liu, Zhouhui Lian* |
DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Models |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 6 |
Yuxuan Luo, Zekun Wu, Zhouhui Lian* |
CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervision |
2024 IEEE International Conference on Robotics and Automation (ICRA) |
May 13-17, 2024. Yokohama, Japan |
| 7 |
Zhu Xu, Qingchao Chen, Yuxin Peng, Yang Liu† |
Semantic-Aware Human Object Interaction Image Generation |
Forty-first International Conference on Machine Learning |
July.21-27,2024,Vienna, Austria |
| 8 |
Dejie Yang, Yang Liu* |
Active Object Detection with Knowledge Aggregation and Distillation from Large Models |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 9 |
Ting Lei, Shaofeng Yin, Yang Liu† |
Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 10 |
Guan Wang, Zhimin Li, Qingchao Chen, Yang Liu† |
OED: Towards One-stage End-to-End Dynamic Scene Graph Generation |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 11 |
Sizhe Li, Yiming Qin, Minghang Zheng, Xin Jin, Yang Liu* |
Diff-BGM: A Diffusion Model for Video Background Music Generation |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 12 |
Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang, Yang Liu† |
3D Vision and Language Pretraining with Large-Scale Synthetic Data |
The 33rd International Joint Conference on Artificial Intelligence |
Aug 3-9,2024,Jeju, South Korea |
| 13 |
Minghang Zheng, Jiahua Zhang, Qingchao Chen, Yuxin Peng, Yang Liu† |
ResVG: Enhancing Relation and Semantic Understanding in Multiple Instances for Visual Grounding |
The 32nd ACM International Conference on Multimedia |
Oct28-Nov 1, Melbourne,Australia |
| 14 |
Wentao Mo, Yang Liu† |
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 15 |
Weishuai Wang, Ting Lei, Qingchao Chen, Yang Liu† |
Semantic-Guided Novel Category Discovery |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 16 |
Minghang Zheng, Xinhao Cai, Qingchao Chen, Yuxin Peng, Yang Liu† |
Training Free Video Temporal Grounding using Large-scale Pre-trained Models |
European Conference on Computer Vision |
Sep.29-Oct 4,Milano,Italy |
| 17 |
Ting Lei, Shaofeng Yin, Yuxin Peng, Yang Liu† |
Exploring Conditional Multi-Modal Prompts for Zero-shot HOI Detection |
European Conference on Computer Vision |
Sep.29-Oct 4,Milano,Italy |
| 18 |
Zishuo Wang, Wenhao Zhou, Jinglin Xu and Yuxin Peng |
SIA-OVD: Shape-Invariant Adapter for Bridging the Image-Region Gap in Open-Vocabulary Detection |
The 32nd ACM International Conference on Multimedia |
Oct. 28-Nov. 1, 2024, Melbourne, Australia |
| 19 |
Zhaoda Ye, Xinhan Zheng, Yang Liu and Yuxin Pen |
RelScene: A Benchmark and baseline for Spatial Relations in text-driven 3D Scene Generation |
The 32nd ACM International Conference on Multimedia |
Oct. 28-Nov. 1, 2024, Melbourne, Australia |
| 20 |
Hongbo Sun, Jiahuan Zhou, Xiangteng He, Jinglin Xu and Yuxin Peng |
FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning |
The 33rd International Joint Conference on Artificial Intelligence |
Aug. 3-9, 2024, Jeju, South Korea |
| 21 |
Ruoyan Pi, Jinglin Xu and Yuxin Peng |
FE-VAD: High-Low Frequency Enhanced Weakly Supervised Video Anomaly Detection |
The 24th IEEE International Conference on Multimedia and Expo |
Jul. 15 - 19, 2024, Niagra Falls, Canada |
| 22 |
Zhenyu Cui, Jiahuan Zhou, Xun Wang, Manyu Zhu and Yuxin Peng |
Learning Continual Compatible Representation for Re-indexing Free Lifelong Person Re-identification |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 23 |
Yanzhe Chen, Huasong zhong, Xiangteng he, Yuxin Peng, Jiahuan Zhou, Lele Cheng |
FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 24 |
Zhenyu Cui, Yuxin Peng, Xun Wang, Manyu Zhu, Jiahuan Zhou |
Continual Vision-Language Retrieval via Dynamic Knowledge Rectification |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 25 |
Hulingxiao He, Xiangteng He, Yuxin Peng, Zifei Shan and Xin Su |
Firzen: Firing Strict Cold-Start Items with Frozen Heterogeneous and Homogeneous Graphs for Recommendation |
The 40th IEEE International Conference on Data Engineering |
May. 13 - 16th, 2024, Utrecht, Netherlands |
| 26 |
Zichen Liu, Hongbo Sun, Yuxin Peng, and Jiahuan Zhou |
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 27 |
Kunlun Xu, Xu Zou, and Jiahuan Zhou |
LSTKC: Long Short-Term Knowledge Consolidation for Lifelong Person Re-Identification |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 28 |
Qiwei Li, Yuxin Peng, and Jiahuan Zhou |
FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 29 |
Kunlun Xu, Xu Zou, Yuxin Peng, and Jiahuan Zhou |
Distribution-aware Knowledge Prototyping for Non-exemplar Lifelong Person Re-identification |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 30 |
Zichen Liu, Yuxin Peng, and Jiahuan Zhou |
InsVP: Efficient Instance Visual Prompting from Image Itself |
The 32nd ACM International Conference on Multimedia |
Oct 28 - Nov 1, 2024, Melbourne, Australia |
| 31 |
Kunlun Xu, Haozhuo Zhang, Yu Li, Yuxin Peng, and Jiahuan Zhou |
Mitigate Catastrophic Remembering via Continual Knowledge Purification for Noisy Lifelong Person Re-Identification |
The 32nd ACM International Conference on Multimedia |
Oct 28 - Nov 1, 2024, Melbourne, Australia |
| 32 |
Qiwei Li, Yuxin Peng, and Jiahuan Zhou |
Progressive Prototype Evolving for Dual-Forgetting Mitigation in Non-Exemplar Online Continual Learning |
The 32nd ACM International Conference on Multimedia |
Oct 28 - Nov 1, 2024, Melbourne, Australia |
| 33 |
Yihang Zhang, Zhidong Jia, Qingyang Li, Xinggong Zhang and Zongming Guo |
RTCC: Enable End-to-end Sub-RTT Congestion Control for Next-generation Network |
IEEE International Conference on Sensing, Communication, and Networking |
Dec. 2–4, 2024, Phoenix, AZ, USA |
| 34 |
Zhong, Junquan, Haodan Zhang, Quanlu Jia, Jiangkai Wu, Peiheng Wang, Haoyang Wang, Liming Liu, Xinggong Zhang and Zongming Guo |
Low-bitrate Volumetric Video Streaming with Depth Image |
SIGCOMM Workshop on Emerging Multimedia Systems (2024) |
Syney |
| 35 |
Bi'an Du, Xiang Gao, Wei Hu#, Renjie Liao |
Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 36 |
Qianjiang Hu, Zhimin Zhang, Wei Hu# |
RangeLDM: Fast Realistic LiDAR Point Cloud Generation |
European Conference on Computer Vision |
"Sep 29th - Oct 4th, 2024, MiCo Milano " |
| 37 |
Wencan Huang, Daizong Liu, Wei Hu# |
Advancing 3D Object Grounding Beyond a Single 3D Scene |
The 32nd ACM International Conference on Multimedia |
Oct 28 - Nov 1, 2024, Melbourne, Australia |
| 38 |
Yang Liu, Daizong Liu, Wei Hu# |
Joint Top-Down and Bottom-Up Frameworks for 3D Visual Grounding |
International Conference on Pattern Recognition |
"Dec 01-05, 2024, Kolkata, India" |
| 39 |
Yang Liu, Daizong Liu, Zongming Guo, Wei Hu# |
Cross-Task Knowledge Transfer for Semi-supervised Joint 3D Grounding and Captioning |
The 32nd ACM International Conference on Multimedia |
Oct 28 - Nov 1, 2024, Melbourne, Australia |
| 40 |
Li Jiang, Yihang Zhang, Yannan Hu, Yong Cui, Xinggong Zhang |
StarTCP: Handover-aware Transport Protocol for Starlink |
the 8th Asia-Pacific Workshop on Networking |
Syney |
| 41 |
Fanke Dong and Chuanmin Jia |
Learned Lossless Coding for Ultra-high-speed Spike Streams via Intensity Remapping |
IEEE International Conference on Visual Communications and Image Processing |
"Dec. 8-11, 2024 Tokyo, Japan" |
| 42 |
Feng Ye, Li Zhang and Chuanmin Jia |
Deep Video Compression with Scaled Hierarchical Bi-directional Motion Model |
The 32nd ACM International Conference on Multimedia |
"Oct 27.-Nov.1, 2024 Melbourne, Austrilia" |
| 43 |
Shuhong Liao, Kexiang Feng, Chuanmin Jia, Zhimeng Huang, Siwei Ma |
Neural Video Compression with Dynamic Temporal Context Mining |
16th International Conference on Wireless Communications and Signal Processing |
"Oct. 24-26, 2024 Heifei, China" |
| 44 |
Haofeng Huang, Wenhan Yang, Lingyu Duan, and Jiaying Liu* |
Seeing Dark Videos via Self-Learned Bottleneck Neural Representation |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 45 |
Haowei Kuang, Yiyang Ma, Wenhan Yang, Zongming Guo, and Jiaying Liu |
Consistency Guided Diffusion Model with Neural Syntax for Perceptual Image Compression |
The 32nd ACM International Conference on Multimedia |
Melbourne, Australia, Oct. 2024 |
| 46 |
Jiahang Zhang, Lilang Lin, and Jiaying Liu* |
Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition |
The 33rd International Joint Conference on Artificial Intelligence |
Jeju, Korea, Aug. 2024 |
| 47 |
Lehong Wu, Lilang Lin, Jiahang Zhang, Yiyang Ma, and Jiaying Liu |
MacDiff: Unified Skeleton Modeling with Masked Conditional Diffusion |
European Conference on Computer Vision |
Milano, Italy, Sep. 2024 |
| 48 |
Lilang Lin, Lehong Wu, Jiahang Zhang, and Jiaying Liu |
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition |
European Conference on Computer Vision |
Milano, Italy, Sep. 2024 |
| 49 |
Wenjing Wang, Huan Yang, Jianlong Fu, and Jiaying Liu |
Zero-Reference Low-Light Enhancement via Physical Quadruple Priors |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 50 |
Xunxu Duan, Hongbin Liu, Li Zhang and Chuanmin Jia |
Neural Compression for AI Foundation Model Generated Images: Evaluation and Benchmark |
2024 IEEE Data Compression Conference |
"Mar. 19-22, 2024 Snowbird, USA" |
| 51 |
Xiang Gao and Jiaying Liu* |
FBSDiff: Plug-and-Play Frequency Band Substitution of Diffusion Features for Highly Controllable Text-Driven Image Translation |
The 32nd ACM International Conference on Multimedia |
Melbourne, Australia, Oct. 2024 |
| 52 |
Xiang Gao, Zhengbo Xu, Junhan Zhao, and Jiaying Liu* |
Frequency-Controlled Diffusion Model for Versatile Text-Guided Image-to-Image Translation |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 53 |
Yifan Li, Yuhang Bai, Shuai Yang, and Jiaying Liu* |
COCO-LC: Colorfulness Controllable Language-based Colorization |
The 32nd ACM International Conference on Multimedia |
Melbourne, Australia, Oct. 2024 |
| 54 |
Yiyang Ma, Huan Yang, Wenhan Yang, Jianlong Fu, and Jiaying Liu |
Solving Diffusion ODEs with Optimal Boundary Conditions for Better Image Super-Resolution |
International Conference on Learning Representations |
May. 7-11, 2024, Vienna Austria |
| 55 |
Yiyang Ma, Wenhan Yang, and Jiaying Liu |
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder |
Forty-first International Conference on Machine Learning |
Vienna, Austria, July 2024 |
| 56 |
Shuai Yang, Yifan Zhou, Ziwei Liu, and Chen Change Loy |
FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 57 |
Zhidong Jia, Yihang Zhang, Qingyang Li, Xinggong Zhang |
BurstRTC: Harnessing Variable Bit-Rate of RTC through Frame-Bursting Congestion Control |
the 8th Asia-Pacific Workshop on Networking |
Syney |
| 58 |
Zichuan Huang, Yifan Li, Shuai Yang*, and Jiaying Liu |
CoolColor: Text-guided COherent OLd film COLORization |
ACM Multimedia Asia |
Dec. 3 - 6, 2024 |
| 59 |
Quanlu Jia, Haodan Zhang, Haoyang Wang, Liming Liu, Jiangkai Wu, Xinggong Zhang, Zongming Guo |
SRFC: Scalable Radiance Fields Streaming with Planar Codec |
IEEE International Conference on Communications |
Denver, USA |
| 60 |
Zhidong Jia, Yihang Zhang, Qingyang Li, Xinggong Zhang |
Tackling Bit-Rate Variation of RTC through Frame-Bursting Congestion Control |
IEEE International Conference on Network Protocols |
Oct. 28-31, 2024, Charleroi, Belgium |
| 61 |
Yifei Wang*, Weimin Bai*, Wenzheng Chen, He Sun |
An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations |
Conference and Workshop on Neural Information Processing Systems |
2024.12.09-2024.12.15 |
| 62 |
Ziyi Zhu, Wenqi Zhao, Liangcai Gao |
Enhancing Transformer-based Table Structure Recognition for Long Tables |
Chinese Conference on Pattern Recognition and Computer Vision 2024 |
2024.10.18-2024.10.20/Urumqi, China |
| 63 |
Xiangyu Xie, Yuxuan Zhou, and Liangcai Gao |
ODTr: Transformer Integrating OCR Auxiliary Map and Image Depth Information for Document Image Unwarping |
International Conference on Pattern Recognition |
2024.12.1-2024.12.5/Kolkata,India |
| 64 |
Baole Wei, Minghang He, Liangcai Gao, Duoyou Zhou, Xiang Bai, Zhi Tang |
Maskstr: Guide Scene Text Recognition Models with Masking |
International Conference on Acoustics, Speech, and Signal Processing 2024 |
2024.4.14-2024.4.19/Seoul, Korea |
| 65 |
Yuxuan Zhou, Liangcai Gao, Zhi Tang, Baole Wei |
Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution |
International Conference on Acoustics, Speech, and Signal Processing 2024 |
2024.4.14-2024.4.19/Seoul, Korea |
| 66 |
Jianhua Zhu, Wenqi Zhao, Liangcai Gao |
ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition |
The International Conference on Document Analysis and Recognition 2024 |
2024.8.30-2024.9.4/Athens, Greece |
| 67 |
Xingjian Hu, Baole Wei, Liangcai Gao, Jun Wang |
SegHist: A General Segmentation-based Framework for Chinese Historical Document Text Line Detection |
The International Conference on Document Analysis and Recognition 2024 |
2024.8.30-2024.9.4/Athens, Greece |
| 68 |
Haochen Wang, Kai Hu, Haoyu Dong and Liangcai Gao |
" DocTabQA: Answering Questions from Long Documents Using Tables" |
International Conference on Document Analysis and Recognition 2024 |
2024.8.30-2024.9.4/Athens, Greece |
| 69 |
Yuanxing Duan*,Fangyin Wei*,Qiyu Dai,Yuhang He,Wenzheng Chen,Baoquan Chen |
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic Scenes |
ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques |
2024.7.28-2024.8.1 |
| 70 |
Hongxiang Lin, Yixiao Zhou, Huiying Hu, Zhicheng He, Runzhi Wu, Xiaoqing Lyu* |
Graph Matching Based Graph Self-Supervised Learning for Molecular Property Prediction |
IEEE International Conference on Bioinformatics and Biomedicine |
2024.12.03-2024.12.06, Lisbon, Portugal |
| 71 |
Zhiwei Lin, Zhe Liu, Zhongyu Xia, Xinhao Wang, Yongtao Wang*, Shengxiang Qi, Yang Dong, Nan Dong, Le Zhang, Ce Zhu |
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 72 |
Zhiwei Lin, Hongbo Jin, Yongtao Wang, Yufei Wei and Nan Dong |
TEOcc: Radar-camera Multi-modal Occupancy Prediction via Temporal Enhancement |
European Conference on Artificial Intelligence 2024 |
2024.10.19-2024.10.24/Santiago de Compostela, Spain |
| 73 |
Zhongyu Xia, ZhiWei Lin, Xinhao Wang, Yongtao Wang, Yun Xing, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang |
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras |
European Conference on Computer Vision |
2024.9.29-2024.10.4/Milan, Italy |
| 74 |
Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang*, Deqing Sun, Ming-Hsuan Yang |
DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 75 |
Xiaoyu Zhou, Xingjian Ran, Yajiao Xiong, Jinlin He, Zhiwei Lin, YongtaoWang*, Deqing Sun, Ming-Hsuan Yang |
GALA3D: Towards Text-to-3D Complex Scene Generation via Layout-guided Generative Gaussian Splatting |
Forty-first International Conference on Machine Learning |
2024.7.21-2024.7.27/Messe, Vienna,Austria |
| 76 |
Xiaoyu Ye, Hao Huang, Jiaqi An, YongtaoWang |
DUAW: Data-free Universal Adversarial Watermark against Stable Diffusion Customization |
ICLR 2024 Workshop on Secure and Trustworthy Large Language Models |
May. 7-11, 2024, Vienna Austria |
| 77 |
Xinyi Yu, Runan Yin, Zhihao Lin, Yongtao Wang |
ERF-NAS: Efficient Receptive Field-based Zero-Shot NAS for Object Detection |
Computational Aspects of Deep Learning (CADL) at European Conference on Computer Vision 2024 |
2024.9.29-2024.10.4/Milan, Italy |
| 78 |
Zhiwei Lin, Yongtao Wang∗, Zhi Tang |
Training-Free Open-Ended Object Detection and Segmentation via Attention as Prompts |
38th Conference on Neural Information Processing Systems |
2024.12.10-2024.12.15, Vancouver, British Columbia,Canada |
| 79 |
Zhiwei Lin, YongtaoWang*, Shengxiang Qi, Nan Dong, Ming-Hsuan Yang |
BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 80 |
Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng, and Dongyan Zhao |
Probing Multimodal Large Language Models for Global and Local Semantic Representations. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
"20-25 May, 2024, Lingotto Conference Centre - Torino (Italia)" |
| 81 |
Kunhang Li, Yansong Feng |
Motion Generation from Fine-grained Textual Descriptions |
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
"20-25 May, 2024, Lingotto Conference Centre - Torino (Italia)" |
| 82 |
Quzhe Huang, Zhenwei An, Nan Zhuang, and Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng |
Harder Task Needs More Experts: Dynamic Routing in MoE Models |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 83 |
Chen Zhang, Xiao Liu, Jiuheng Lin, and Yansong Feng |
Teaching Large Language Models an Unseen Language on the Fly |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 84 |
Xiao Liu, Zirui Wu, Xueqing Wu, and Pan Lu, Kai-Wei Chang, Yansong Feng |
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 85 |
Yutong Hu, Kangcheng Luo, and Yansong Feng |
ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 86 |
Chen Zhang, Mingxu Tao, Quzhe Huang, and Jiuheng Lin, Zhibin Chen, Yansong Feng |
MC^2: Towards Transparent and Culturally-Aware NLP for Minority Languages in China |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 87 |
Xiao Liu, Yansong Feng, Kai-Wei Chang |
CASA: Causality-driven Argument Sufficiency Assessment |
the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
June 16-21, 2024, Mexico City, Mexico |
| 88 |
Chen Zhang, Mingxu Tao, Quzhe Huang, Zhibin Chen, Yansong Feng |
Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang |
|
May. 7-11, 2024, Vienna Austria |
| 89 |
Yutong Hu, Quzhe Huang, Mingxu Tao, Chen Zhang, Yansong Feng |
Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding? |
|
May. 7-11, 2024, Vienna Austria |
| 90 |
Yutong Hu, Quzhe Huang, and Yansong Feng |
Only One Relation Possible? Modeling the Ambiguity in Temporal Relation Extraction |
Natural Language Processing and Chinese Computing (NLPCC 2024) |
|
| 91 |
Zhuocheng Gong, Yang Song, Tao Zhang, Ji-RongWen, Dongyan Zhao, Rui Yan |
Your Career Path Matters in Person-Job Fit |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 92 |
Zhuocheng Gong, Jiahao Liu, JingangWang, Xunliang Cai, Dongyan Zhao, Rui Yan |
What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 93 |
Yueqian Wang, YuxuanWang, Kai Chen, Dongyan Zhao |
STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 94 |
Haowei Du, Chen Li, Dinghao Zhang, Dongyan Zhao |
Bi-Directional Multi-Granularity Generation Framework for Knowledge Graph-to-Text with Large Language Model |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 95 |
Yiduo Guo, Zekai Zhang, Yaobo Liang, Dongyan Zhao, Nan Duan |
PPTC Benchmark: Evaluating Large Language Models for PowerPoint Task Completion |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 96 |
Yiduo Guo, Yaobo Liang, Dongyan Zhao, Nan Duan |
Large Language Models Can Learn Representation in Natural Language |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 97 |
Zhuocheng Gong, Jiahao Liu, Ziyue Wang, Pengfei Wu, Jingang Wang, Xunliang Cai, Dongyan Zhao, Rui Yan |
Graph-Structured Speculative Decoding |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 98 |
Xin Cheng, Xun Wang, Tao Ge, Si-Qing Chen, Furu Wei, Dongyan Zhao, Rui Yan |
SCALE: Synergized Collaboration of Asymmetric Language Translation Engines |
The 62nd Annual Meeting of the Association for Computational Linguistics |
"August 11-16, 2024, Bangkok, Thailand" |
| 99 |
Jiazhan Feng, Ruochen Xu, Junheng Hao, Hiteshi Sharma, Yelong Shen, Dongyan Zhao, Weizhu Chen |
Language Models can be Deductive Solvers |
2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics |
"June 16–21, 2024, Mexico City, Mexico" |
| 100 |
Zhaopeng Xu, Qi Qin, Bing Liu, Dongyan Zhao |
Disentangled Representations for Continual Learning: Overcoming Forgetting and Facilitating Knowledge Transfer |
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
"Sep. 9-13, 2024, Vilnius, Lithuania" |
| 101 |
Jinpeng Li, Jiaze Chen, Huadong Chen, Dongyan Zhao, and Rui Yan |
Multilingual Generation in Abstractive Summarization: A Comparative Study |
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
"20-25 May, 2024, Lingotto Conference Centre - Torino (Italia)" |
| 102 |
Xinyu Hu, Li Lin, Mingqi Gao, Xunjian Yin and Xiaojun Wan |
Themis: A Reference-free NLG Evaluation Language Model with Flexibility and Interpretability |
The 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024 |
Nov. 12-16, 2024, Miami, Florida |
| 103 |
Huixuan Zhang, Yun Lin and Xiaojun Wan |
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models |
Findings of the Association for Computational Linguistics: EMNLP 2024 |
Nov. 12-16, 2024, Miami, Florida |
| 104 |
Xunjian Yin, Xu Zhang, Jie Ruan and Xiaojun Wan |
Benchmarking Knowledge Boundary for Large Language Model: A Different Perspective on Model Evaluation |
The 62nd Annual Meeting of the Association for Computational Linguistics |
August 11-16, 2024，Bangkok, Thailand, |
| 105 |
Xinyu Hu, Mingqi Gao, Sen Hu, Yang Zhang, Yicheng Chen, Teng Xu, and Xiaojun Wan |
Are LLM-based Evaluators Confusing NLG Quality Criteria? |
The 62nd Annual Meeting of the Association for Computational Linguistics |
August 11-16, 2024，Bangkok, Thailand, |
| 106 |
Baizhou Huang, Shuai Lu, Xiaojun Wan, Nan Duan |
Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency |
The 62nd Annual Meeting of the Association for Computational Linguistics |
August 11-16, 2024，Bangkok, Thailand, |
| 107 |
Jie Ruan, Wenqing Wang and Xiaojun Wan |
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation |
the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies |
June 16-21, 2024，Mexico City, Mexico |
| 108 |
Huixuan Zhang and Xiaojun Wan |
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection |
the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
20-25 May, 2024, Torino, Italy |
| 109 |
Xiao Pu, Mingqi Gao and Xiaojun Wan |
Is Summary Useful or Not? An Extrinsic Human Evaluation of Text Summaries on Downstream Tasks |
the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
20-25 May, 2024, Torino, Italy |
| 110 |
Xunjian Yin, Xinyu Hu, Jin Jiang and Xiaojun Wan |
Error-Robust Retrieval for Chinese Spelling Check |
the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
20-25 May, 2024, Torino, Italy |
| 111 |
Jin Jiang, Xunjian Yin, Xiaojun Wan, Wei Peng, Rongjun Li, Jingyuan Yang and Yanquan Zhou |
Contextual Modeling for Document-level ASR Error Correction |
the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
20-25 May, 2024, Torino, Italy |
| 112 |
Xunjian Yin, Jin Jiang, Liming Yang and Xiaojun Wan |
History Matters: Temporal Knowledge Editing in Large Language Model |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 113 |
Jie Ruan, Xiao Pu, Mingqi Gao, Xiaojun Wan and Yuesheng Zhu |
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 114 |
Jie Ruan, Yue Wu, Xiaojun Wan and Yuesheng Zhu |
Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation |
IEEE/CVF Winter Conference on Applications of Computer Vision |
Waikoloa, HI, USA, January 3-8, 2024. |
| 115 |
Hui Liu and Xiaojun Wan |
QAVidCap: Enhancing Video Captioning through Question Answering Techniques |
the 2024 International Conference on Multimedia Retrieval |
Phuket, Thailand, June 10-14, 2024 |
| 116 |
Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di ZHANG, Yang Song, Kun Gai, Yadong Mu |
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization |
Forty-first International Conference on Machine Learning |
July 21-27, 2024, Vienna, Austria |
| 117 |
Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin CHEN, Chengru Song, dai meng, Di ZHANG, Wenwu Ou, Kun Gai, Yadong Mu |
Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization |
The Twelfth International Conference on Learning Representations (ICLR) 2024 |
May. 7-11, 2024, Vienna Austria |
| 118 |
Chenguo Lin, Yadong Mu |
InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior |
The Twelfth International Conference on Learning Representations (ICLR) 2024 |
May. 7-11, 2024, Vienna Austria |
| 119 |
Hao Jiang, Yizhang Yang, Yadong Mu |
Transferable Video Moment Localization by Moment-Guided Query Prompting |
The 38th Annual AAAI Conference on Artificial Intelligence |
"Feb. 20-27, 2024, Vancouver, Canada" |
| 120 |
Hao Jiang, Bingfeng Zhou, Yadong Mu* |
Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 121 |
Zhicheng Sun, Jinghan Li, Yadong Mu* |
Exploring Orthogonality in Open World Object Detection |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 122 |
Hanwen Liu, Zhicheng Sun, Yadong Mu* |
Countering Personalized Text-to-Image Generation with Influence Watermarks |
The IEEE/CVF Conference on Computer Vision and Pattern Recognition |
Jun. 17-21, 2024, Seattle, Washington, United States |
| 123 |
Kangqi Ma, Hao Dong, Yadong Mu |
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection |
European Conference on Computer Vision |
Sep 29, 2024 – Oct 4, 2024, MiCo Milano, Italy |
| 124 |
Yang Jin, Yadong Mu |
Weakly-Supervised Spatio-Temporal Video Grounding with Variational Cross-Modal Alignment |
European Conference on Computer Vision |
Sep 29, 2024 – Oct 4, 2024, MiCo Milano, Italy |
| 125 |
Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu |
RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance |
38th Conference on Neural Information Processing Systems |
Dec 10, - Dec 15, 2024,Vancouver, Canada |
| 126 |
Tuo Xu and Lei Zou |
Rethinking and Extending the Probabilistic Inference Capacity of GNNs |
The Twelfth International Conference on Learning Representations |
May. 7-11, 2024, Vienna Austria |
| 127 |
Yue Pang, Lei Zou, Jeffrey Xu Yu, and Linglin Yang |
Materialized View Selection & View-Based Query Planning for Regular Path Queries |
2024 ACM International Conference on Management of Data |
June 9-14, Santiago, Chile |
| 128 |
Linglin Yang, Yuqi Zhou, Yue Pang, Lei Zou |
Efficient Pruned Top-K Subgraph Matching with Topology-Aware Bounds |
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management |
October 21–25, 2024, Boise, ID, USA |
| 129 |
Hui Zhao, Jun Sun* |
Data Augmentation for Knowledge Tracing based on Variational AutoEncoder and Efficient Network Reusing |
The 8thAsia Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data |
August 30-September 1, 2024, JinHua, China |
| 130 |
Hui Zhao, Chang Nie, Jun Liu, and Jun Sun* |
Optimizing Knowledge Tracking and Learning Path Planning through Virtual Interactions |
The twentieth International Conference on Intelligent Computing |
August 5-8, 2024, TianJin, China |
| 131 |
Xiaopeng Guo, Maojing Shu, Zhijie Huang, Jun Liu, Jun Sun* |
Programming Knowledge Tracing with Context and Structure Integration |
International Conference on Knowledge Science, Engineering and Management |
August 16-18th, 2024, Birmingham |
| 132 |
Xiaopeng Guo, Chang Nie, Jun Liu, Maojing Shu, Zhijie Huang, Jun Sun* |
Mixture-ofExperts based Structure-Context Fusion for Programming Knowledge Tracing |
IEEE International Conference on Systems, Man, and Cybernetics, 2024 |
6 - 10 October 2024, Borneo Convention Centre Kuching, Sarawak, Malaysia |
| 133 |
Mingqi Gao, Jie Ruan, Xiaojun Wan |
"ReproHum #0087-01: A Reproduction Study of the Human Evaluation of the Coverage of Fact Checking Explanations" |
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation |
"20-25 May, 2024, Lingotto Conference Centre - Torino (Italia)" |
