1 . Qiming Liu, Xiang Ao, Yuyao Guo and Qing He. Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 8796-8804, Vancouver, Canada, Feb. 20–27, 2024.

2 . Longxiang Liu, Xiuxing Li, Yang Feng. TA&AT: Enhancing Task-Oriented Dialog with Turn-Level Auxiliary Tasks and Action-Tree Based Scheduled Sampling. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 18671-18679, Vancouver, Canada, Feb. 20–27, 2024.

3 . Yufei Cai, Yuxiang Wei, Zhilong Ji, Jinfeng Bai, Hu Han, Wangmeng Zuo. Decoupled Textual Embeddings for Customized Image Generation. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 909-917, Vancouver, Canada, Feb. 20–27, 2024.

4 . Churan Zhi, Junbao Zhuo, Shuhui Wang. Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 17060-17068, Vancouver, Canada, Feb. 20–27, 2024.

5 . Hanxuan Li, Bin Fu, Ruiping Wang, Xilin Chen. Point2Real: Bridging the Gap between Point Cloud and Realistic Image for Open-World 3D Recognition. Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), pp. 3055-3063, Vancouver, Canada, Feb. 20-27, 2024.

6 . Yifan Yang, Yuecong Min, Xilin Chen. S2Net: Skeleton-aware SlowFast Network for Efficient Sign Language Recognition. Proceedings of the Asian Conference on Computer Vision (ACCV), pp. 355-372, Hanoi, Vietnam, Dec. 8-12, 2024.

7 . Shaolei Zhang, Tian Yu, Yang Feng. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 8908-8949, Bangkok, Thailand, Aug. 11–16, 2024.

8 . Tian Yu, Shaolei Zhang, Yang Feng. Truth-Aware Context Selection: Mitigating the Hallucinations of Large Language Models Being Misled by Untruthful Contexts. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 10862-10884, Bangkok, Thailand, Aug. 11–16, 2024.

9 . Shaolei Zhang, Qingkai Fang, Shoutao Guo, Zhengrui Ma, Min Zhang, Yang Feng. StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 8964-8986, Bangkok, Thailand, Aug. 11–16, 2024.

10 . Langlin Huang, Yang Feng. Integrating Multi-scale Contextualized Information for Byte-based Neural Machine Translation. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 9794-9801, Bangkok, Thailand, Aug. 11–16, 2024.

11 . Mengyu Bu, Shuhao Gu, Yang Feng. Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 10410-10423, Bangkok, Thailand, Aug. 11–16, 2024.

12 . Shoutao Guo, Shaolei Zhang, Yang Feng. Decoder-only Streaming Transformer for Simultaneous Translation. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 8851-8864, Bangkok, Thailand, Aug. 11–16, 2024.

13 . Qingkai Fang, Zhengrui Ma, Yan Zhou, Min Zhang, Yang Feng. CTC-based Non-autoregressive Textless Speech-to-Speech Translation. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 9155-9161, Bangkok, Thailand, Aug. 11–16, 2024.

14 . Qingkai Fang, Shaolei Zhang, Zhengrui Ma, Min Zhang, Yang Feng. Can We Achieve High-quality Direct Speech-to-Speech Translation Without Parallel Speech Data? Annual Meeting of the Association for Computational Linguistics (ACL), pp. 7264-7277, Bangkok, Thailand, Aug. 11–16, 2024.

15 . Zhengrui Ma, Qingkai Fang, Shaolei Zhang, Shoutao Guo, Yang Feng, Min Zhang. A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1557-1575, Bangkok, Thailand, Aug. 11–16, 2024.

16 . Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang. Context-aware Difference Distilling for Multi-change Captioning. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 7941-7956, Bangkok, Thailand, Aug. 11–16, 2024.

17 . Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo, Yue Yu. URG: A Unified Ranking and Generation Method for Ensembling Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 4421-4434, Bangkok, Thailand, Aug. 11-16，2024.

18 . Chaoxu Pang, Yixuan Cao, Chunhao Yang, and Ping Luo. Uncovering Limitations of Large Language Models in Information Seeking from Tables. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1388-1409, Bangkok, Thailand, Aug. 11-16，2024.

19 . Tianyu Chen, Yiming Zhang, Guoxin Yu, Dapeng Zhang, Li Zeng, Qing He, Xiang Ao. EFSA: Towards Event-Level Financial Sentiment Analysis. Annual Meeting of the Association for Computational Linguistics (ACL), pp. 7455-7467, Bangkok, Thailand, Aug. 11–16, 2024.

20 . Xuhan Zhu, Yifei Xing, Ruiping Wang, Yaowei Wang, Xiangyuan Lan. Calibration for Long-tailed Scene Graph Generation. ACM Conference on Multimedia (ACM MM), pp. 3037-3046, Melbourne, Australia, Oct. 28-Nov.1, 2024.

21 . Yiming Cui, Liang Li, Jiehua Zhang, Chenggang Yan, Hongkui Wang, Shuai Wang, Jin Heng, Wu Li. Stochastic Context Consistency Reasoning for Domain Adaptive Object Detection. ACM Conference on Multimedia (ACM MM), pp. 1331-1340, Melbourne, Australia, Oct. 28-Nov 1, 2024.

22 . Henglei Lv, Jiayu Xiao, Liang Li. Pick-and-Draw: Training-free Semantic Guidance for Text-to-Image Personalization. ACM Conference on Multimedia (ACM MM), pp. 10535- 10543, Melbourne, Australia, Oct. 28-Nov 1, 2024.

23 . Zhedong Zhang, Liang Li, Gaoxiang Cong, Haibing Yin, Yuhan Gao, Chenggang Yan, Anton van den Hengel, Yuankai Qi. From Speaker to Dubber: Movie Dubbing with Prosody and Duration Consistency Learning. ACM Conference on Multimedia (ACM MM), pp. 7523-7532, Melbourne, Australia, Oct. 28-Nov 1, 2024.

24 . Yijia Wang, Qianqian Xu, Yangbangyan Jiang, Siran Dai, Qingming Huang. Regularized Contrastive Partial Multi-view Outlier Detection. ACM Conference on Multimedia (ACM MM), pp. 8711-8720, Melbourne, Australia, Oct. 28-Nov 1, 2024.

25 . Kenan Huang, Junbao Zhuo, Shuhui Wang, Chi Su, Qingming Huang, Huimin Ma. Unsupervised Image-to-Video Adaptation via Category-aware Flow Memory Bank and Realistic Video Generation. ACM Conference on Multimedia (ACM MM), pp. 8795-8804, Melbourne, Australia, Oct. 28-Nov 1, 2024.

26 . Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang. Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval. ACM Conference on Multimedia (ACM MM), pp. 3828-3837, Melbourne, Australia, Oct. 28-Nov 1, 2024.

27 . Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang. HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. ACM Conference on Multimedia (ACM MM), pp. 1544-1553, Melbourne, Australia, Oct. 28-Nov 1, 2024.

28 . Xuhan Zhu, Yifei Xing, Ruiping Wang, Yaowei Wang, Xiangyuan Lan. Hierarchical Prompt Learning for Scene Graph Generation. British Machine Vision Conference (BMVC), Glasgow, UK, Nov. 25-28, 2024.

29 . Bin Fu, Qiyang Wan, Jialin Li, Ruiping Wang, Xilin Chen. Blocks as Probes: Dissecting Categorization Ability of Large Multimodal Models. British Machine Vision Conference (BMVC), Glasgow, UK, Nov. 25-28, 2024.

30 . Yiming Zhang, Xiang Ao, Guoxin Yu, and Qing He. Improving Event-Level Financial Sentiment Analysis with Retrieval-Augmented Multipath Chain-of-Thought Prompting. CCF BigData 2024 (CCF BigData), Qingdao, China, Aug. 9-11,2024.

31 . Yangwu Zhao, Yang Liu, Xiang Ao and Qing He. A Flexible Knowledge Graph Error Detection，Framework Combined with Semantic Information. CCF BigData 2024 (CCF BigData), Qingdao, China, Aug. 9-11,2024.

32 . Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong. Autonomous Interactive Correction MLLM for Robust Robotic Manipulation. Annual Conference on Robot Learning (CoRL), Munich, Germany, Nov. 6-9, 2024.

33 . Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang. Sim-to-Real Transfer via 3D Feature Fields for Vision-and-Language Navigation. Conference on Robot Learning (CRL), Munich, Germany, Nov. 6-9, 2024.

34 . Xiaohan Wang, Yuehu Liu, Xinhang Song, Yuyi Liu, Sixian Zhang, Shuqiang Jiang. An Interactive Navigation Method with Effect-oriented Affordance. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16446-16456, Seattle WA, USA, Jun. 17-21, 2024.

35 . Zonghui Guo, Xinyu Han, Jie Zhang, Shiguang Shan, Haiyong Zheng. Video Harmonization with Triplet Spatio-Temporal Variation Patterns. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 19177-19186, Seattle WA, USA, Jun. 17-21, 2024.

36 . Sibo Wang, Jie Zhang, Zheng Yuan, Shiguang Shan. Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 24502-24511, Seattle WA, USA, Jun. 17-21, 2024.

37 . Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Junjie Hu, Ming Jiang, Shuqiang Jiang. Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 13753-13762, Seattle WA, USA, Jun. 17-21, 2024.

38 . Sixian Zhang, Xinyao Yu, Xinhang Song, Xiaohan Wang, Shuqiang Jiang. Imagine Before Go: Self-Supervised Generative Map for Object Goal Navigation. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16414-16425, Seattle WA, USA, Jun. 17-21, 2024.

39 . Xiaolong Tang, Meina Kan, Shiguang Shan, Zhilong Ji, Jinfeng Bai, Xilin Chen. HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15261-15270, Seattle WA, USA, Jun. 17-21, 2024.

40 . Yuanhang Zhang, Shuang Yang, Shiguang Shan, Xilin Chen. ES³: Evolving Self-Supervised Learning of Robust Audio-Visual Speech Representations. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 27059-27069, Seattle WA, USA, Jun. 17-21, 2024.

41 . Yuyi Liu, Xinhang Song, Weijie Li, Xiaohan Wang, Shuqiang Jiang. A Category Agnostic Model for Visual Rearrangement. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16457-16466, Seattle WA, USA, Jun. 17-21, 2024.

42 . Junxi Chen, Liang Li, Li Su, Zheng-Jun Zha, Qingming Huang. Prompt-enhanced Multiple Instance Learning for Weakly Supervised Anomaly Detection. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 18319-18329, Seattle WA, USA, Jun. 17-21, 2024.

43 . Jinjing Hu, Wenrui Liu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. An Information Theoretical View for Out-Of-Distribution Detection. European Conference on Computer Vision (ECCV), pp. 418-435, Mico Milano, Italy, Sep 29-Oct 4, 2024.

44 . Peiqi Jiao, Yuecong Min, Xilin Chen. Visual Alignment Pre-training for Sign Language Translation. European Conference on Computer Vision (ECCV), pp. 349-367, Mico Milano, Italy, Sep 29-Oct 4, 2024.

45 . Ting Pan, Lulu Tang, Xinlong Wang, Shiguang Shan. Tokenize Anything via Prompting. European Conference on Computer Vision (ECCV), pp. 330-348, Mico Milano, Italy, Sep 29-Oct 4, 2024.

46 . Yaxuan Qin, Jiayu Xu, Ruiping Wang, Xilin Chen. Think before Placement: Common Sense Enhanced Transformer for Object Placement. European Conference on Computer Vision (ECCV), pp. 35-50, Mico Milano, Italy, Sep 29-Oct 4, 2024.

47 . Zhongqi Wang, Jie Zhang, Shiguang Shan, Xilin Chen. T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models. European Conference on Computer Vision (ECCV), pp. 107-124, Mico Milano, Italy, Sep 29-Oct 4, 2024.

48 . Ziwei Yao, Ruiping Wang, Xilin Chen. HiFi-Score: Fine-grained Image Description Evaluation with Hierarchical Parsing Graphs. European Conference on Computer Vision (ECCV), pp. 441-458, Mico Milano, Italy, Sep 29-Oct 4, 2024.

49 . Yunbin Tu, Liang Li, Li Su, Chenggang Yan, Qingming Huang. Distractors-Immune Representation Learning with Cross-modal Contrastive Regularization for Change Captioning. European Conference on Computer Vision (ECCV), pp. 311-328, Mico Milano, Italy, Sep 29-Oct 4, 2024.

50 . Lixuan Zhang, Meina Kan, Shiguang Shan, Xilin Chen. PreLAR: World Model Pre-training with Learnable Action Representation. European Conference on Computer Vision (ECCV), pp. 185-201, Milano, Italy, Sep 29-Oct 4, 2024.

51 . Jinjing Hu, Wenrui Liu, Hong Chang, Bingpeng Ma,Shiguang Shan, Xilin Chen. An Information Theoretical View for Out-Of-Distribution Detection. European Conference on Computer Vision (ECCV), pp. 418-435, Milano, Italy, Sep 29-Oct 4, 2024.

52 . Guoxin Yu, Lemao Liu, Mo Yu, Yue Yu, Xiang Ao. Rethinking the Evaluation of In- Context Learning for LLMs. The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 14068-14082, Miami, America, Nov. 12-16, 2024.

53 . Haozhan Wu, Hu Han, Shiguang Shan, Xilin Chen. Multi-view consistent 3D GAN inversion via bidirectional encoder. IEEE International Conference on Automatic Face and Gesture Recognition (FG), pp. 1-10, Istanbul, Turkiye, May. 27-31, 2024.

54 . Hao Li, Yanan Cao, Yubing Ren, Fang Fang, Lanxue Zhang, Yingjie Li, Shi Wang. Sorting, Reasoning, and Extraction: An Easy-to-Hard Reasoning Framework for Document-Level Event Argument Extraction. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 10646-10650, Seoul, Korea, Apr. 14-19, 2024.

55 . Shoutao Guo, Shaolei Zhang, Yang Feng. Glancing Future for Simutaneous Machine Translation. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 11386-11390, Seoul, Korea, Apr. 14-19, 2024.

56 . Guanghui Hu, Yang Liu, Qing He and Xiang Ao. F2GNN: An Adaptive Filter with Feature Segmentation for Graph-based Fraud Detection. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 6335-6339, Seoul, Korea, Apr. 14-19, 2024.

57 . Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He, Minhao Cheng and Xiang Ao. Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective. International Conference on Learning Representations (ICLR), Austria, Vienna, May 7-11, 2024.

58 . Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing. International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.

59 . Minyang Hu, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing. International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.

60 . Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang. R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation. International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.

61 . Dongyang Liu, Meina Kan, Shiguang Shan, Xilin Chen. A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction. International Conference on Learning Representations (ICLR), Vienna, Austria, May 7-11, 2024.

62 . Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang. ReconBoost: Boosting Can Achieve Modality Reconcilement. International Conference on Machine Learning (ICML), pp. 19573-19597, Vienna, Austria, Jul 21-27, 2024.

63 . Zhengqi Pei, Anran Zhang, Shuhui Wang, Qingming Huang. Modeling Language Tokens as Functionals of Semantic Fields. International Conference on Machine Learning (ICML), pp. 40114-40128, Vienna, Austria, Jul 21-27, 2024.

64 . Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, Wei Zhang. ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection. International Conference on Machine Learning (ICML), pp. 30892-30907, Vienna, Austria, Jul 21-27, 2024.

65 . Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang. Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. International Conference on Machine Learning (ICML), pp. 28989-29021, Vienna, Austria, Jul 21-27, 2024.

66 . Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. International Conference on Machine Learning (ICML), pp. 56624-56664, Vienna, Austria, Jul 21-27, 2024.

67 . Zhengqi Pei, Anran Zhang, Shuhui Wang, Xiangyang Ji, Qingming Huang. Data-free Neural Representation Compression with Riemannian Neural Dynamics. International Conference on Machine Learning (ICML), pp. 40129-40144, Vienna, Austria, Jul 21-27, 2024.

68 . Zhedong Zhang, Liang Li, Jiehua Zhang, Zhenghui Hu, Hongkui Wang, Chenggang Yan, Jiang Yang, and Yuankai Qi. Generating High-Quality Symbolic Music Using Fine-Grained Discriminators. International Conference on Pattern Recognition (ICPR), pp. 332-344, Kolkata, India, Dec.1-5, 2024.

69 . Yuanyuan Xu, Meina Kan, Shiguang Shan, Xilin Chen. Collaborative Domain Alignment for Multi-Source Domain Adaptation. International Conference on Pattern Recognition (ICPR), pp. 192-207, Kolkata, India, Dec.1-5, 2024.

70 . Ruize Yuan, Xiang Ao, Li Zeng and Qing He. DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), pp. 5365-5375, Torino, Italia, May. 20-25, 2024.

71 . Hanyu Zhang, Xiting Wang, Xiang Ao and Qing He. Distillation with Explanations from Large Language Models. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), pp. 5018-5028, Torino, Italia, May. 20-25, 2024.

72 . Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu. CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING), pp. 3357-3366, Torino, Italia, May. 20-25, 2024.

73 . Ce Wang, Xiaoyu Huang, Yaqing Kong, Qian Li, You Hao & Xiang Zhou. 3DGPS: A 3D Differentiable-Gaussian-Based Planning Strategy for Liver Tumor Cryoablation. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 3-13, Marrakesh, Morocco, Oct. 6–10, 2024.

74 . Zhuofan Wen, Shangtong Gui, Yang Feng. Speculative Decoding with CTC-based Draft Model for LLM Inference Acceleration. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

75 . Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang. Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

76 . Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang. Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

77 . Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang. AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

78 . Jiachen Liang, Ruibing Hou, Minyang Hu, Hong Chang, Shiguang Shan, Xilin Chen. UMFC: Unsupervised Multi-Domain Feature Calibration for Vision-Language Models. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

79 . Xinyao Yu, Sixian Zhang, Xinhang Song, Xiaorong Qin, Shuqiang Jiang. Trajectory Diffusion for ObjectGoal Navigation. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

80 . Junshu Sun, Chenxue Yang, Xiangyang Ji, Qingming Huang, Shuhui Wang. Towards Dynamic Message Passing on Graphs. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

81 . Xingming Long, Jie Zhang, Shiguang Shan, Xilin Chen. Rethinking the Evaluation of Out-of-Distribution Detection: A Sorites Paradox. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

82 . Mingshuang Luo, Ruibing Hou, Zhuo Li, Hong Chang, Zimo Liu, Yaowei Wang, Shiguang Shan. M3GPT: An Advanced Multimodal, Multitask Framework for Motion Comprehension and Generation. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

83 . Jiadong Pan, Hongcheng Gao, Zongyu Wu, Taihang Hu, Li Su, Qingming Huang, Liang Li. Leveraging Catastrophic Forgetting to Develop Safe Diffusion Models against Malicious Finetuning. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

84 . Shufan Shen, Junshu Sun, Xiangyang Ji, Qingming Huang, Shuhui Wang. Expanding Sparse Tuning for Low Memory Usage. Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 10-15, 2024.

85 . V. Kashansky, S. A. H. Kashani, J. G. Blas, F. Marozzo, Hai Zhuge, and Xiaoping Sun. An innovative control approach for cyber-physical transportation systems: The case of monte-carlo workflow computations. Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), pp. 153-160, Dublin, Ireland, Mar. 20-22, 2024.

86 . Yewei Zhao, Hu Han, Shiguang Shan, and Xilin Chen. Deep subdomain alignment for cross-domain image classification. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2808-2817, Waikoloa, Hawaii, USA, Jan. 1-8, 2024.

87 . Qiyang Wan, Ruiping Wang, Xilin Chen. Interpretable Object Recognition by Semantic Prototype Analysis. IEEE/CVF Winter Conference of Applications on Computer Vision (WACV), pp. 800-809, Waikoloa, HI, Jan. 4-8, 2024.

88 . Xinke Jiang, Zidi Qin, Jiarong Xu and Xiang Ao. Incomplete Graph Learning via Attribute-Structure Decoupled Variational Auto-Encoder. ACM International Conference Web Search and Data Mining (WSDM), pp. 304-312, Merida, Mexico, Mar. 4–8, 2024.

89 . Yu Liu, Yanan Cao, Shi Wang, Qingyue Wang, Guanqun Bi. Generative Models for Complex Logical Reasoning over Knowledge Graphs. ACM International Conference on Web Search and Data Mining (WSDM), pp. 492-500, Merida, Mexico, Mar. 4–8, 2024.

1 . Qizheng Wang, Meiyi Yao, Xinhang Song, Yandong Liu, Xiaoying Xing, Yongye Chen, Fangbo Zhao, Ke Liu, Xiaoguang Cheng, Shuqiang Jiang, Ning Lang. Automated Segmentation and Classification of Knee Synovitis Based on MRI Using Deep Learning. Academic Radiology, Vol. 31, No. 4, pp. 1518-1527, 2024.

2 . Xiang Ao, Ling Luo, Xiting Wang, Zhao Yang, Jiun-Hung Chen, Ying Qiao,Qing He, Xing Xie. Put Your Voice on Stage: Personalized Headline Generation for News Articles. ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 18, No. 3, pp. 54:1-54:20, 2024.

3 . Tianyu Zhang, Weiqing Min, Tao Liu, Shuqiang Jiang, Yong Rui. Toward Egocentric Compositional Action Anticipation with Adaptive Semantic Debiasing. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), Vol. 20, No. 5, pp. 1-21, 2024.

4 . Yancun Yang, Weiqing Min, Jingru Song, Guorui Sheng, Lili Wang, Shuqiang Jiang. Lightweight Food Recognition via Aggregation Block and Feature Encoding. ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), Vol. 20, No. 10, pp. 1-25, 2024.

5 . Xinhang Song, Bohan Wang, Liye Dong, Gongwei Chen, Xinyun Hu, Shuqiang Jiang. Object-to-Manipulation Graph for Affordance Navigation. CAAI Artificial Intelligence Research, 3: 9150032, 2024.

6 . Changzhen Li, Jie Zhang, Shuzhe Wu, Xin Jin, Shiguang Shan. Hierarchical compositional representations for few-shot action recognition. Computer Vision and Image Understanding (CVIU), 240: 103911, 2024.

7 . Xiaoping Sun and Hai Zhuge. Semantics, knowledge and advanced cyber-infrastructure for intelligent applications. Concurrency and Computation: Practice and Experience, 36(10): e7022, 2024.

8 . Shuang Tian, Lingjuan Chen, Xiaoying Wang, Guochao Li, Ze Fu, Yufeng Ji, Jiahui Lu, Xiaosha Wang, Shiguang Shan, Yanchao Bi. Vision matters for shape representation: Evidence from sculpturing and drawing in the blind. Cortex, Vol. 174, pp. 241-255, 2024.

9 . Tingjing Zhang, Mingyu Huang, Liangkai Chen, Yang Xia, Weiqing Min, Shuqiang Jiang. Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study. Diabetes & Metabolic Syndrome: Clinical Research & Reviews, 18(9): 103135, 2024.

10 . Xiaoping Sun and Hai Zhuge. Generating survey draft based on closeness of position distributions of key words. Expert Systems with Applications (ESWA), 237(Part B): 121422, 2024.

11 . Bing Ma and Hai Zhuge. Automatic construction of classification dimensions by clustering texts based on common words. Expert Systems with Applications (ESWA), 238(Part F): 122292, 2024.

12 . Dalu Feng, Shuang Yang, Shiguang Shan, Xilin Chen. Audio-guided self-supervised learning for disentangled visual speech representations. Frontiers of Computer Science (FCS), 18: 186353, 2024.

13 . Guorui Sheng, Weiqing Min, Tao Yao, Jingru Song, Yancun Yang, Lili Wang, Shuqiang Jiang. Lightweight Food Image Recognition with Global Shuffle Convolution. IEEE Transactions on AgriFood Electronics (TAFE), Vol. 2, No. 2, pp. 392-402, 2024.

14 . Sheng Fang, Tiantian Dang, Shuhui Wang, Qingming Huang. Linguistic Hallucination for Text-Based Video Retrieval. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), Vol. 34, No. 10, pp. 9692-9705, 2024.

15 . Zhiyu Guo, Xiang Ao, and Qing He. Transductive Semi-Supervised Metric Network for Reject Inference in Credit Scoring. IEEE Transactions on Computational Social Systems (TCSS), Vol. 11, No. 2, pp. 1675-1684, 2024.

16 . Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Yingfei Sun, and Qingming Huang. Enhancing Sample Utilization in Noise-robust Deep Metric Learning with Subgroup-based Positive-pair Selection. IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 6083-6097, 2024.

17 . Mingjie He, Jie Zhang, Shiguang Shan, Xilin Chen. Enhancing Face Recognition with Detachable Self-Supervised Bypass Networks. IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 1588-1599, 2024.

18 . Ziyi Bai, Ruiping Wang, Difei Gao, Xilin Chen. Event Graph Guided Compositional Spatial–Temporal Reasoning for Video Question Answering. IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 1109-1121, 2024.

19 . Pengfei Zhou, Weiqing Min, Jiajun Song, Yang Zhang, Shuqiang Jiang. Synthesizing knowledge-enhanced features for real-world zero-shot food detection. IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 1285-1298, 2024.

20 . Yuxin Liu, Weiqing Min, Shuqiang Jiang, Yong Rui. Convolution-Enhanced Bi-Branch Adaptive Transformer with Cross-Task Interaction for Food Category and Ingredient Recognition. IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 2572-2586, 2024.

21 . Ling Lin, Hao Liu, Jinqiao Liang, Zhendong Li, Jiao Feng, Hu Han. Consensus-agent deep reinforcement learning for face aging. IEEE Transactions on Image Processing (TIP), Vol. 33, pp. 1795-1809, 2024.

22 . Xinye Zhou, Hu Han, Shiguang Shan, Xilin Chen. Fine-grained Open-set Deepfake Detection via Unsupervised Domain Adaptation. IEEE Transactions on Information Forensics and Security (TIFS), Vol. 19, pp. 7536-7547, 2024.

23 . Yiqing Wu, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Xu Zhang, Leyu Lin and Qing He. Personalized Prompt for Sequential Recommendation. IEEE Transactions on Knowledge and Data Engineering (TKDE), Vol. 38, No. 7, pp. 3376-3389, 2024.

24 . Jiachen Chen, Mengyang Li, Hu Han, Zhiming Zhao, and Xilin Chen. SurgNet: Self-supervised pretraining with semantic consistency for vessel and instrument segmentation in surgical images. IEEE Transactions on Medical Imaging (TMI), Vol. 43, No. 4, pp. 1513-1525, 2024.

25 . Beichen Zhang, Liang Li, Zheng-jun Zha, Jiebo Luo, Qingming Huang. Downstream-Pretext Domain Knowledge Traceback for Active Learning. IEEE Transactions on Multimedia (TMM), Vol. 26, pp. 10585-10596, 2024.

26 . Nan Kang, Hong Chang, Bingpeng Ma, Shiguang Shan. A Comprehensive Framework for Long-tailed Learning via Pretraining and Normalization. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Vol. 35, No. 3, pp. 3437-3449, 2024.

27 . Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, and Qingming Huang. Sequential Manipulation against Rank Aggregation: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 12, pp. 9353-9370, 2024.

28 . Zhaobo Qi, Shuhui Wang, Weigang Zhang, Qingming Huang. Uncertainty-Boosted Robust Video Activity Anticipation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 12, pp. 7775-7792, 2024.

29 . Ruibing Hou, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen. Triplet adaptation framework for robust semi-supervised learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 12, pp. 8056-8073, 2024.

30 . Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Qingming Huang. SMART: Syntax-calibrated Multi-Aspect Relation Transformer for Change Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 7, pp. 4926-4943, 2024.

31 . Tianwei Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 2, pp. 957-974, 2024.

32 . Guorong Li, Hanhua Ye, Yuankai Qi, Shuhui Wang, Laiyun Qing, Qingming Huang, Ming-Hsuan Yang. Learning Hierarchical Modular Networks for Video Captioning. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 2, pp. 1049-1064, 2024.

33 . Beichen Zhang, Liang Li, Shuhui Wang, Shaofei Cai, Zheng-Jun Zha, Qi Tian, Qingming Huang. Inductive State-Relabeling Adversarial Active Learning with Heuristic Clique Rescaling. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 12, pp. 9780-9796, 2024.

34 . Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, and Qingming Huang. Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 12, pp. 9004-9022, 2024.

35 . Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang. Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 7, pp. 5062-5079, 2024.

36 . Zheng Yuan, Jie Zhang, Zhaoyan Jiang, Liangliang Li, Shiguang Shan. Adaptive Perturbation for Adversarial Attack. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Vol. 46, No. 8, pp. 5663-5676, 2024.

37 . Zheng Yuan, Jie Zhang, Yude Wang, Shiguang Shan, Xilin Chen. Towards Robust Semantic Segmentation against Patch-based Attack via Attention Refinement. International Journal of Computer Vision (IJCV), Vol. 132, No. 11, pp. 5270-5292, 2024.

38 . Guorui Sheng, Weiqing Min, Xiangyi Zhu, Liang Xu, Qingshuo Sun, Yancun Yang, Lili Wang, Shuqiang Jiang. A Lightweight Hybrid Model with Location-Preserving ViT for Efficient Food Recognition. Nutrients, 16(2): 200, 2024.

39 . Chen He, Ruiping Wang, Shiguang Shan, Xilin Chen. Introspective GAN: Learning to Grow a GAN for Incremental Generation and Classification. Pattern Recognition (PR), 151: 110383, 2024.

40 . Xuhan Zhu, Ruiping Wang, Xiangyuan Lan, Yaowei Wang. Local Context Attention Learning for Fine-grained Scene Graph Generation. Pattern Recognition (PR), 156: 110708, 2024.

41 . Shishi Qiao, Ruiping Wang, Shiguang Shan, Xilin Chen. Hierarchical image-to-image translation with nested distributions modeling. Pattern Recognition (PR), 146: 110058, 2024.

42 . Yunjia Sun, Jiabei Zeng, and Shiguang Shan. Gaze estimation with semi-supervised eye landmark detection as an auxiliary task. Pattern Recognition (PR), 146: 109980, 2024.

43 . Xiaodong Wu, Ruiping Wang, Xilin Chen. Data-efficient 3D Instance Segmentation by Transferring Knowledge from Synthetic Scans. Pattern Recognition Letters (PRL), Vol. 179, pp. 151-157, 2024.

44 . Junsheng Zhang, Xiaoping Sun and Zhihui Liu. Measuring the evolving stage of temporal distribution of research topic keyword in scientific literature by research heat curve. Scientometrics, Vol. 129, No. 1, pp. 7287-7328, 2024.

45 . Xin Fan, Lei Chen, Min Chen , Na Zhang, Hong Chang, Mingjie He, Zhenghao Shen, Lanyue Zhang, Hao Ding, Yuyan Xie, Yemei Huang, Weixin Ke, Meng Xiao, Xuelei Zang, Heping Xu, Wenxia Fang, Shaojie Li, Cunwei Cao, Yingchun Xu, Shiguang Shan, Wenjuan Wu, Changbin Chen, Xinying Xue, Linqi Wang. Pan-omics-based characterization and prediction of highly multidrug-adapted strains from an outbreak fungal species complex. The Innovation, 5(5): 100681, 2024.