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2020 – today
- 2024
[j50]Yuxin Chen, Chen Tang, Thomas Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Interaction Level Between Agents Helps Cost-efficient Generalization in Multi-agent Reinforcement Learning. RLJ 4: 1950-1964 (2024)- [j49]Yanghong Guo, Bencong Zhu, Chen Tang, Ruichen Rong, Ying Ma, Guanghua Xiao, Lin Xu
, Qiwei Li:
BayeSMART: Bayesian clustering of multi-sample spatially resolved transcriptomics data. Briefings Bioinform. 25(6) (2024) - [j48]Chen Tang, Tyler Loakman, Chenghua Lin:
A cross-attention augmented model for event-triggered context-aware story generation. Comput. Speech Lang. 88: 101662 (2024) - [j47]Yuxin Shen, Chen Tang, Zirui Fan, Tianbo Wu, Zhenkun Lei:
Blind watermarking scheme for medical and non-medical images copyright protection using the QZ algorithm. Expert Syst. Appl. 241: 122547 (2024) - [j46]Hongyang Jiang, Mengdi Gao, Jingqi Huang, Chen Tang, Xiaoqing Zhang, Jiang Liu:
DCAMIL: Eye-tracking guided dual-cross-attention multi-instance learning for refining fundus disease detection. Expert Syst. Appl. 243: 122889 (2024) - [j45]Chen Tang, Lijie Yin, Yongchao Xie:
Wafer surface defect detection with enhanced YOLOv7. Int. J. Inf. Commun. Technol. 25(6): 1-17 (2024) - [j44]Ping Li, Junjie Chen, Chen Tang:
Bridging knowledge distillation gap for few-sample unsupervised semantic segmentation. Inf. Sci. 673: 120714 (2024) - [j43]Xiaoyu Feng, Wenyu Sun, Chen Tang, Xinyuan Lin, Jinshan Yue, Huazhong Yang, Yongpan Liu:
A 28-nm Energy-Efficient Sparse Neural Network Processor for Point Cloud Applications Using Block-Wise Online Neighbor Searching. IEEE J. Solid State Circuits 59(9): 3070-3081 (2024) - [j42]Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
Skill-Critic: Refining Learned Skills for Hierarchical Reinforcement Learning. IEEE Robotics Autom. Lett. 9(4): 3625-3632 (2024) - [j41]Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan:
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. IEEE Robotics Autom. Lett. 9(8): 7023-7030 (2024) - [j40]Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
BeTAIL: Behavior Transformer Adversarial Imitation Learning From Human Racing Gameplay. IEEE Robotics Autom. Lett. 9(8): 7302-7309 (2024) - [j39]Chen Tang, Nishan Srishankar, Sujitha Martin, Masayoshi Tomizuka:
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 25(9): 10617-10635 (2024) - [c84]Bo Lv, Chen Tang, Yanan Zhang, Xin Liu, Ping Luo, Yue Yu:
URG: A Unified Ranking and Generation Method for Ensembling Language Models. ACL (Findings) 2024: 4421-4434 - [c83]Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan:
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. ACL (Findings) 2024: 15421-15435 - [c82]Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. AAMAS 2024: 2201-2203 - [c81]Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin:
Effective Distillation of Table-based Reasoning Ability from LLMs. LREC/COLING 2024: 5538-5550 - [c80]Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CVPR 2024: 15855-15865 - [c79]Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. ECCV (29) 2024: 324-341 - [c78]Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang:
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation. ECCV (33) 2024: 434-452 - [c77]Bohao Yang, Chen Tang, Chenghua Lin:
Improving Medical Dialogue Generation with Abstract Meaning Representations. ICASSP 2024: 11826-11830 - [c76]Lan Zhang, Chen Tang, Huiqi Liu, Haikuo Yu, Xirong Zhuang, Qi Zhao, Lei Wang, Wenjing Fang, Xiang-Yang Li:
FedMark: Large-Capacity and Robust Watermarking in Federated Learning. ICDCS 2024: 821-832 - [c75]Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. ICRA 2024: 7447-7454 - [c74]Yanlin Chen, Xiaoqing Zhang, Tianao Wang, Chen Tang, Haili Ye, Jiang Liu:
WaveFormer: A Wavelet Transformer for Parkinson Disease's Retinal Layer Segmentation in OCT. IJCNN 2024: 1-8 - [c73]Chen Tang, Hongbo Zhang, Tyler Loakman, Bohao Yang, Stefan Goetze, Chenghua Lin:
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. INLG 2024: 371-383 - [c72]Yifan He, Shupei Fan, Xuan Li, Luchang Lei, Wenbin Jia, Chen Tang, Yaolei Li, Zongle Huang, Zhike Du, Jinshan Yue, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu:
34.7 A 28nm 2.4Mb/mm2 6.9 - 16.3TOPS/mm2 eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing. ISSCC 2024: 578-580 - [c71]Liu He, Yujin Wang, Zongle Huang, Shupei Fan, Chen Tang, Shuyuan Zhang, Luchang Lei, Huazhong Yang, Yongpan Liu, Hongyang Jia:
Exploring Approximation and Dataflow Co-Optimization for Scalable Transformer Inference Architecture on the Edge. SOCC 2024: 1-6 - [c70]Chen Tang, Xinyuan Lin, Zongle Huang, Wenyu Sun, Hongyang Jia, Yongpan Liu:
A 28nm 4.35TOPS/mm2 Transformer Accelerator with Basis-vector Based Ultra Storage Compression, Decomposed Computation and Unified LUT-Assisted Cores. VLSI Technology and Circuits 2024: 1-2 - [i70]Chen Tang, Yuan Meng, Jiacheng Jiang, Shuzhao Xie, Rongwei Lu, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Retraining-free Model Quantization via One-Shot Weight-Coupling Learning. CoRR abs/2401.01543 (2024) - [i69]Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan:
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. CoRR abs/2401.15315 (2024) - [i68]Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay. CoRR abs/2402.14194 (2024) - [i67]Tyler Loakman, Chen Tang, Chenghua Lin:
Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases. CoRR abs/2403.13901 (2024) - [i66]Bohao Yang, Kun Zhao, Chen Tang, Liang Zhan, Chenghua Lin:
Structured Information Matters: Incorporating Abstract Meaning Representation into LLMs for Improved Open-Domain Dialogue Evaluation. CoRR abs/2404.01129 (2024) - [i65]Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang:
Investigating the Impact of Quantization on Adversarial Robustness. CoRR abs/2404.05639 (2024) - [i64]Haojun Sun, Chen Tang, Zhi Wang, Yuan Meng, Jingyan Jiang, Xinzhu Ma, Wenwu Zhu:
TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models. CoRR abs/2404.09532 (2024) - [i63]Kun Zhao, Bohao Yang, Chen Tang, Chenghua Lin, Liang Zhan:
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation. CoRR abs/2405.15924 (2024) - [i62]Ke Yi, Yuhui Xu, Heng Chang, Chen Tang, Yuan Meng, Tong Zhang, Jia Li:
One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments. CoRR abs/2405.20202 (2024) - [i61]Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang:
Causal prompting model-based offline reinforcement learning. CoRR abs/2406.01065 (2024) - [i60]Zenghao Chai, Chen Tang, Yongkang Wong, Mohan S. Kankanhalli:
STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting. CoRR abs/2406.04629 (2024) - [i59]Yijun Liu, Yuan Meng, Fang Wu, Shenhao Peng, Hang Yao, Chaoyu Guan, Chen Tang, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
Evaluating the Generalization Ability of Quantized LLMs: Benchmark, Analysis, and Toolbox. CoRR abs/2406.12928 (2024) - [i58]Yuxin Chen, Chen Tang, Chenran Li, Ran Tian, Peter Stone, Masayoshi Tomizuka, Wei Zhan:
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention. CoRR abs/2406.16258 (2024) - [i57]Lei Chen, Yuan Meng, Chen Tang, Xinzhu Ma, Jingyan Jiang, Xin Wang, Zhi Wang, Wenwu Zhu:
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers. CoRR abs/2406.17343 (2024) - [i56]Kun Zhao, Chenghao Xiao, Chen Tang, Bohao Yang, Kai Ye, Noura Al Moubayed, Liang Zhan, Chenghua Lin:
X-ray Made Simple: Radiology Report Generation and Evaluation with Layman's Terms. CoRR abs/2406.17911 (2024) - [i55]Bohao Yang, Dong Liu, Chen Tang, Chenghao Xiao, Kun Zhao, Chao Li, Lin Yuan, Guang Yang, Lanxiao Huang, Chenghua Lin:
SimsChat: A Customisable Persona-Driven Role-Playing Agent. CoRR abs/2406.17962 (2024) - [i54]Chen Tang, Bohao Yang, Kun Zhao, Bo Lv, Chenghao Xiao, Frank Guerin, Chenghua Lin:
BioMNER: A Dataset for Biomedical Method Entity Recognition. CoRR abs/2406.20038 (2024) - [i53]Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Residual-MPPI: Online Policy Customization for Continuous Control. CoRR abs/2407.00898 (2024) - [i52]Zhan Chen, Chen Tang, Lu Xiong:
HGNET: A Hierarchical Feature Guided Network for Occupancy Flow Field Prediction. CoRR abs/2407.01097 (2024) - [i51]Yiheng Li, Chongjian Ge, Chenran Li, Chenfeng Xu, Masayoshi Tomizuka, Chen Tang, Mingyu Ding, Wei Zhan:
WOMD-Reasoning: A Large-Scale Language Dataset for Interaction and Driving Intentions Reasoning. CoRR abs/2407.04281 (2024) - [i50]Ye Li, Chen Tang, Yuan Meng, Jiajun Fan, Zenghao Chai, Xinzhu Ma, Zhi Wang, Wenwu Zhu:
PRANCE: Joint Token-Optimization and Structural Channel-Pruning for Adaptive ViT Inference. CoRR abs/2407.05010 (2024) - [i49]Zongle Huang, Shupei Fan, Chen Tang, Xinyuan Lin, Shuwen Deng, Yongpan Liu:
Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems. CoRR abs/2407.05784 (2024) - [i48]Yixiao Wang, Chen Tang, Lingfeng Sun, Simone Rossi, Yichen Xie, Chensheng Peng, Thomas Hannagan, Stefano Sabatini, Nicola Poerio, Masayoshi Tomizuka, Wei Zhan:
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation. CoRR abs/2408.00766 (2024) - [i47]Chen Tang, Ben Abbatematteo, Jiaheng Hu, Rohan Chandra, Roberto Martín-Martín, Peter Stone:
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes. CoRR abs/2408.03539 (2024) - [i46]Nanyang Du, Chen Tang, Yuan Meng, Zhi Wang:
RTF-Q: Unsupervised domain adaptation based retraining-free quantization network. CoRR abs/2408.05752 (2024) - [i45]Weixiang Zhang, Shuzhao Xie, Shijia Ge, Wei Yao, Chen Tang, Zhi Wang:
Expansive Supervision for Neural Radiance Field. CoRR abs/2409.08056 (2024) - [i44]Shuzhao Xie, Weixiang Zhang, Chen Tang, Yunpeng Bai, Rongwei Lu, Shijia Ge, Zhi Wang:
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation. CoRR abs/2409.09756 (2024) - 2023
- [j38]Zhengjie Shen, Chen Tang, Min Xu, Zhenkun Lei:
Removal of Speckle Noises from Ultrasound Images Using Parallel Convolutional Neural Network. Circuits Syst. Signal Process. 42(8): 5041-5064 (2023) - [j37]Chen Tang, Qiancheng Yu, Xiaoning Li, Zekun Lu, Yufan Yang:
Application of DeepForest-CQP multi-factor model in quantitative stock selection. J. Intell. Fuzzy Syst. 44(3): 5425-5436 (2023) - [j36]Xiaoning Li, Qiancheng Yu, Yufan Yang, Chen Tang, Jinyun Wang:
An evolutionary ensemble model based on GA for epidemic transmission prediction. J. Intell. Fuzzy Syst. 44(5): 7469-7481 (2023) - [j35]Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan:
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. IEEE Robotics Autom. Lett. 8(9): 5432-5439 (2023) - [j34]Zirui Fan, Chen Tang, Yuxin Shen, Min Xu, Zhenkun Lei:
RME: a low-light image enhancement model based on reflectance map enhancing. Signal Image Video Process. 17(4): 1493-1502 (2023) - [j33]Bingtao Liang, Chen Tang, Wei Zhang, Min Xu, Tianbo Wu:
N-Net: an UNet architecture with dual encoder for medical image segmentation. Signal Image Video Process. 17(6): 3073-3081 (2023) - [j32]Yaolei Li, Jinshan Yue, Jingyu Wang, Chen Tang, Yifan He, Wenbin Jia, Kaiwei Zou, Lu Zhang, Huazhong Yang, Yongpan Liu:
A Weight-Reload-Eliminated Compute-in-Memory Accelerator for 60 fps 4K Super-Resolution. IEEE Trans. Circuits Syst. II Express Briefs 70(3): 1179-1183 (2023) - [j31]Lu Xiong, Yixuan Zhang, Yuanzhi Liu, Hongyu Xiao, Chen Tang:
Integrated Decision Making and Planning Based on Feasible Region Construction for Autonomous Vehicles Considering Prediction Uncertainty. IEEE Trans. Intell. Veh. 8(11): 4515-4523 (2023) - [c69]Tyler Loakman, Chen Tang, Chenghua Lin:
TwistList: Resources and Baselines for Tongue Twister Generation. ACL (2) 2023: 579-589 - [c68]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. ACL (1) 2023: 4604-4616 - [c67]Xirong Zhuang, Lan Zhang, Chen Tang, Huiqi Liu, Bin Wang, Yan Zheng, Bo Ren:
DeepContract: Controllable Authorization of Deep Learning Models. ACSAC 2023: 609-620 - [c66]Xiaoyu Feng, Wenyu Sun, Shupei Fan, Chen Tang, Yixiong Yang, Jinshan Yue, Qingmin Liao, Huazhong Yang, Yongpan Liu:
A Demonstration Platform for Large-Scaled Point Cloud Network Based on 28nm 2D/3D Unified Sparse Convolution Accelerator. AICAS 2023: 1-2 - [c65]Chen Tang, Lijie Yin:
Traffic Sign Recognition Using Improved YOLOv7 Model. AIMSCM 2023: 25 - [c64]Xiaoyu Feng, Chen Tang, Zongkai Zhang, Wenyu Sun, Yongpan Liu:
Semantic Guided Fine-Grained Point Cloud Quantization Framework for 3D Object Detection. ASP-DAC 2023: 390-395 - [c63]Hedi Wang, Zengwei Wang, Yaolei Li, Chen Tang, Jinxu Gao, Huazhong Yang, Yongpan Liu:
A 28nm 386.5GOPS/W Coarse-Grained DSP Using Configurable Processing Elements for Always-on Computation with FPGA Implementation. A-SSCC 2023: 1-3 - [c62]Zhan Luo, Lan Zhang, Jiewei Lai, Xinming Wang, Chen Tang:
An Efficient Partial Video Copy Detection for a Large-scale Video Database. BIGCOM 2023: 117-125 - [c61]Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin:
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. EMNLP 2023: 606-618 - [c60]Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin:
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. EMNLP 2023: 8016-8032 - [c59]Chen Tang, Zhaole Chu, Peiquan Jin, Yongping Luo, Kuankuan Guo:
HM2: Efficient Host Memory Management for RDMA-Enabled Distributed Systems. HPDC 2023: 335-336 - [c58]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Terminology-Aware Medical Dialogue Generation. ICASSP 2023: 1-5 - [c57]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. ICCV 2023: 5806-5817 - [c56]Qiaoni Zhao, Chen Tang:
A Design of Intelligent Wiper Controller for Automobile. ICITEE 2023: 579-584 - [c55]Qiaoni Zhao, Chen Tang:
Research and Implementation of New Energy Controllable Rectifier and Control Technology Based on DSP. ICITEE 2023: 707-712 - [c54]Yifan He, Haikang Diao, Chen Tang, Wenbin Jia, Xiyuan Tang, Yuan Wang, Jinshan Yue, Xueqing Li, Huazhong Yang, Hongyang Jia, Yongpan Liu:
A 28nm 38-to-102-TOPS/W 8b Multiply-Less Approximate Digital SRAM Compute-In-Memory Macro for Neural-Network Inference. ISSCC 2023: 130-131 - [c53]Wenyu Sun, Xiaoyu Feng, Chen Tang, Shupei Fan, Yixiong Yang, Jinshan Yue, Huazhong Yang, Yongpan Liu:
A 28nm 2D/3D Unified Sparse Convolution Accelerator with Block-Wise Neighbor Searcher for Large-Scaled Voxel-Based Point Cloud Network. ISSCC 2023: 328-329 - [c52]Zhan Chen, Zhuoping Yu, Lu Xiong, Chen Tang:
Drive with Quantified Risk: A Probabilistic Approach for Occlusion-Aware Trajectory Planning. ITSC 2023: 4650-4656 - [c51]Lu Xiong, Fankai Zhou, Haoran Lv, Yuhua Zhu, Chen Tang:
Towards Vehicular Domain Controller: A Multi-agent Approach to Control Coordination Considering Actuator Dynamics. ITSC 2023: 4697-4702 - [c50]Yuanzhi Liu, Lu Xiong, Qunfei Yao, Chen Tang:
Towards Driving and Parking Integration: A Holistic Planning Framework for Automated Valet Parking with Optimized Efficiency. ITSC 2023: 4725-4729 - [c49]Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Yuan Meng, Zhi Wang, Wenwu Zhu:
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. ACM Multimedia 2023: 7971-7980 - [c48]Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan:
Residual Q-Learning: Offline and Online Policy Customization without Value. NeurIPS 2023 - [c47]Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng:
Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation. ECML/PKDD (5) 2023: 426-442 - [i43]Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Zhi Wang:
Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. CoRR abs/2302.06845 (2023) - [i42]Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang:
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. CoRR abs/2303.09730 (2023) - [i41]Wei-Jer Chang, Chen Tang, Chenran Li, Yeping Hu, Masayoshi Tomizuka, Wei Zhan:
Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulation. CoRR abs/2303.13830 (2023) - [i40]Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng:
Click-aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation. CoRR abs/2304.01169 (2023) - [i39]Hongyang Jiang, Jingqi Huang, Chen Tang, Xiaoqing Zhang, Mengdi Gao, Jiang Liu:
Eye tracking guided deep multiple instance learning with dual cross-attention for fundus disease detection. CoRR abs/2304.12719 (2023) - [i38]Hongbo Zhang, Chen Tang, Tyler Loakman, Chenghua Lin, Stefan Goetze:
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. CoRR abs/2305.06294 (2023) - [i37]Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang:
Knowledge Soft Integration for Multimodal Recommendation. CoRR abs/2305.07419 (2023) - [i36]Shaoshu Su, Ce Hao, Catherine Weaver, Chen Tang, Wei Zhan, Masayoshi Tomizuka:
Double-Iterative Gaussian Process Regression for Modeling Error Compensation in Autonomous Racing. CoRR abs/2305.07740 (2023) - [i35]Tyler Loakman, Chen Tang, Chenghua Lin:
TwistList: Resources and Baselines for Tongue Twister Generation. CoRR abs/2306.03457 (2023) - [i34]Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan:
Skill-Critic: Refining Learned Skills for Reinforcement Learning. CoRR abs/2306.08388 (2023) - [i33]Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan:
Residual Q-Learning: Offline and Online Policy Customization without Value. CoRR abs/2306.09526 (2023) - [i32]Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin:
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. CoRR abs/2306.16195 (2023) - [i31]Jinning Li, Xinyi Liu, Banghua Zhu, Jiantao Jiao, Masayoshi Tomizuka, Chen Tang, Wei Zhan:
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration. CoRR abs/2309.09408 (2023) - [i30]Yiheng Li, Seth Z. Zhao, Chenfeng Xu, Chen Tang, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan:
Pre-training on Synthetic Driving Data for Trajectory Prediction. CoRR abs/2309.10121 (2023) - [i29]Bohao Yang, Chen Tang, Chenghua Lin:
Improving Medical Dialogue Generation with Abstract Meaning Representations. CoRR abs/2309.10608 (2023) - [i28]Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin:
Effective Distillation of Table-based Reasoning Ability from LLMs. CoRR abs/2309.13182 (2023) - [i27]Yuxin Chen, Chen Tang, Ran Tian, Chenran Li, Jinning Li, Masayoshi Tomizuka, Wei Zhan:
Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization. CoRR abs/2310.07218 (2023) - [i26]Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin:
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. CoRR abs/2310.15684 (2023) - [i25]Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin:
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. CoRR abs/2310.15702 (2023) - [i24]Chen Tang, Frank Guerin, Chenghua Lin:
ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology. CoRR abs/2310.20467 (2023) - [i23]Tommaso Benciolini, Chen Tang, Marion Leibold, Catherine Weaver, Masayoshi Tomizuka, Wei Zhan:
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing. CoRR abs/2311.01993 (2023) - [i22]Rongwei Lu, Yutong Jiang, Yinan Mao, Chen Tang, Bin Chen, Laizhong Cui, Zhi Wang:
DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing. CoRR abs/2311.07324 (2023) - [i21]Hongyang Jiang,