Chen Tang

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 176

Top Venues

CoRR

IEEE Robotics Autom. Lett.

ITSC

Signal Image Video Process.

Publications

Zhiyu Huang, Chen Tang, Chen Lv, Masayoshi Tomizuka, Wei Zhan
Learning Online Belief Prediction for Efficient POMDP Planning in Autonomous Driving. CoRR (2024)
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)
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 (2024)
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 (2024)
Pengcheng Wang, Chenran Li, Catherine Weaver, Kenta Kawamoto, Masayoshi Tomizuka, Chen Tang, Wei Zhan
Residual-MPPI: Online Policy Customization for Continuous Control. CoRR (2024)
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)
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 (2024)
Ping Li, Junjie Chen, Chen Tang
Bridging knowledge distillation gap for few-sample unsupervised semantic segmentation. Inf. Sci. 673 (2024)
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) (2024)
Chen Tang, Tyler Loakman, Chenghua Lin
A cross-attention augmented model for event-triggered context-aware story generation. Comput. Speech Lang. 88 (2024)
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 (2024)
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
eDRAM-LUT-Based Digital-Computing-in-Memory Macro with In-Memory Encoding and Refreshing. ISSCC (2024)
Chen Tang, Bohao Yang, Kun Zhao, Bo Lv, Chenghao Xiao, Frank Guerin, Chenghua Lin
BioMNER: A Dataset for Biomedical Method Entity Recognition. CoRR (2024)
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 (2024)
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)
Qun Li, Yuan Meng, Chen Tang, Jiacheng Jiang, Zhi Wang
Investigating the Impact of Quantization on Adversarial Robustness. CoRR (2024)
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 (2024)
Zhan Chen, Chen Tang, Lu Xiong
HGNET: A Hierarchical Feature Guided Network for Occupancy Flow Field Prediction. CoRR (2024)
Catherine Weaver, Chen Tang, Ce Hao, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay. CoRR (2024)
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 (2024)
Xuehui Yu, Yi Guan, Rujia Shen, Xin Li, Chen Tang, Jingchi Jiang
Causal prompting model-based offline reinforcement learning. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Zenghao Chai, Chen Tang, Yongkang Wong, Mohan S. Kankanhalli
STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion Retargeting. CoRR (2024)
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) (2024)
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)
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) (2024)
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 (2024)
Tyler Loakman, Chen Tang, Chenghua Lin
Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases. CoRR (2024)
Bohao Yang, Chen Tang, Chenghua Lin
Improving Medical Dialogue Generation with Abstract Meaning Representations. ICASSP (2024)
Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin
Effective Distillation of Table-based Reasoning Ability from LLMs. LREC/COLING (2024)
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 (2024)
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 (2024)
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 (2024)
Zongle Huang, Shupei Fan, Chen Tang, Xinyuan Lin, Shuwen Deng, Yongpan Liu
Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems. CoRR (2024)
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 (2023)
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)
Tyler Loakman, Chen Tang, Chenghua Lin
TwistList: Resources and Baselines for Tongue Twister Generation. CoRR (2023)
Chen Tang, Frank Guerin, Chenghua Lin
ACL Anthology Helper: A Tool to Retrieve and Manage Literature from ACL Anthology. CoRR (2023)
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)
Xirong Zhuang, Lan Zhang, Chen Tang, Huiqi Liu, Bin Wang, Yan Zheng, Bo Ren
DeepContract: Controllable Authorization of Deep Learning Models. ACSAC (2023)
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 (2023)
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)
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) (2023)
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) (2023)
Chen Tang, Lijie Yin
Traffic Sign Recognition Using Improved YOLOv7 Model. AIMSCM (2023)
Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. CoRR (2023)
Chen Tang, Tyler Loakman, Chenghua Lin
A Cross-Attention Augmented Model for Event-Triggered Context-Aware Story Generation. CoRR (2023)
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)
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) (2023)
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) (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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) (2023)
Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang
Knowledge Soft Integration for Multimodal Recommendation. CoRR (2023)
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) (2023)
Zhan Chen, Zhuoping Yu, Lu Xiong, Chen Tang
Drive with Quantified Risk: A Probabilistic Approach for Occlusion-Aware Trajectory Planning. ITSC (2023)
Tyler Loakman, Chen Tang, Chenghua Lin
TwistList: Resources and Baselines for Tongue Twister Generation. ACL (2) (2023)
Qiaoni Zhao, Chen Tang
A Design of Intelligent Wiper Controller for Automobile. ICITEE (2023)
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 (2023)
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) (2023)
Bohao Yang, Chen Tang, Chenghua Lin
Improving Medical Dialogue Generation with Abstract Meaning Representations. CoRR (2023)
Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. CoRR (2023)
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)
Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. ACL (1) (2023)
Ce Hao, Catherine Weaver, Chen Tang, Kenta Kawamoto, Masayoshi Tomizuka, Wei Zhan
Skill-Critic: Refining Learned Skills for Reinforcement Learning. CoRR (2023)
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 (2023)
Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan
Residual Q-Learning: Offline and Online Policy Customization without Value. CoRR (2023)
Bohao Yang, Chen Tang, Kun Zhao, Chenghao Xiao, Chenghua Lin
Effective Distillation of Table-based Reasoning Ability from LLMs. CoRR (2023)
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)
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)
Zhan Luo, Lan Zhang, Jiewei Lai, Xinming Wang, Chen Tang
An Efficient Partial Video Copy Detection for a Large-scale Video Database. BIGCOM (2023)
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 (2023)
Hongbo Zhang, Chen Tang, Tyler Loakman, Chenghua Lin, Stefan Goetze
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation. CoRR (2023)
Hongyang Jiang, Mengdi Gao, Zirong Liu, Chen Tang, Xiaoqing Zhang, Shuai Jiang, Wu Yuan, Jiang Liu
GlanceSeg: Real-time microaneurysm lesion segmentation with gaze-map-guided foundation model for early detection of diabetic retinopathy. CoRR (2023)
Chen Tang, Zhaole Chu, Peiquan Jin, Yongping Luo, Kuankuan Guo
HM2: Efficient Host Memory Management for RDMA-Enabled Distributed Systems. HPDC (2023)
Chen Tang, Kai Ouyang, Zenghao Chai, Yunpeng Bai, Zhi Wang
Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization. CoRR (2023)
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)
Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation. CoRR (2023)
Tomas Goldsack, Zhihao Zhang, Chen Tang, Carolina Scarton, Chenghua Lin
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs. EMNLP (2023)
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) (2023)
Chen Tang, Hongbo Zhang, Tyler Loakman, Chenghua Lin, Frank Guerin
Terminology-Aware Medical Dialogue Generation. ICASSP (2023)
Qiaoni Zhao, Chen Tang
Research and Implementation of New Energy Controllable Rectifier and Control Technology Based on DSP. ICITEE (2023)
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)
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 (2023)
Chenran Li, Chen Tang, Haruki Nishimura, Jean Mercat, Masayoshi Tomizuka, Wei Zhan
Residual Q-Learning: Offline and Online Policy Customization without Value. NeurIPS (2023)
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 (2023)
Chen Tang, Shun Wang, Tomas Goldsack, Chenghua Lin
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers. EMNLP (2023)
Mingchen Lu, Chen Tang, Peiquan Jin
Revisiting LSM-Tree-Based Key-Value Stores for ZNS SSDs. Big Data (2022)
Chen Tang, Frank Guerin, Yucheng Li, Chenghua Lin
Recent Advances in Neural Text Generation: A Task-Agnostic Survey. CoRR (2022)
Chen Tang, Kai Ouyang, Zhi Wang, Yifei Zhu, Wen Ji, Yaowei Wang, Wenwu Zhu
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance. ECCV (11) (2022)
Chen Tang, Can Wang, Mingchen Lu, Peiquan Jin
An Efficient In-Memory Analytics System Based on Persistent Memory. Big Data (2022)
Chen Tang, Chenghua Lin, Henglin Huang, Frank Guerin, Zhihao Zhang
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention. CoRR (2022)
Ce Hao, Chen Tang, Eric Bergkvist, Catherine Weaver, Liting Sun, Wei Zhan, Masayoshi Tomizuka
Outracing Human Racers with Model-based Autonomous Racing. CoRR (2022)
Lijie Yin, Ning Zhang, Chen Tang
On-demand UAV base station deployment for wireless service of crowded tourism areas. Pers. Ubiquitous Comput. 26 (4) (2022)
Chen Tang, Mehdi Abroshan, Amir Khajepour
Agent-Based Model Predictive Controller (AMPC) for Vehicular Stability With Experimental Results. IEEE Trans. Veh. Technol. 71 (7) (2022)
Henglin Huang, Chen Tang, Tyler Loakman, Frank Guerin, Chenghua Lin
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics. AACL/IJCNLP (2) (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chen Tang