Chen Gong

According to our database, Chen Gong authored at least 25 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

Terry Yue Zhuo, Minh Chien Vu, Jenny Chim, Han Hu, Wenhao Yu, Ratnadira Widyasari, Imam Nur Bani Yusuf, Haolan Zhan, Junda He, Indraneil Paul, Simon Brunner, Chen Gong, Thong Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, Naman Jain, Alex Gu, Zhoujun Cheng, Jiawei Liu, Qian Liu, Zijian Wang, David Lo, Binyuan Hui, Niklas Muennighoff, Daniel Fried, Xiaoning Du, Harm de Vries, Leandro von Werra

CoRR, 2024

DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution.

Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan

CoRR, 2024

TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents.

Chen Gong, Kecen Li, Jin Yao, Tianhao Wang

CoRR, 2024

Controllable Dense Captioner with Multimodal Embedding Bridging.

Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan

CoRR, 2024

PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining.

Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang

Proceedings of the 33rd USENIX Security Symposium, 2024

Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang

Proceedings of the IEEE Symposium on Security and Privacy, 2024

NetDPSyn: Synthesizing Network Traces under Differential Privacy.

Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li

Proceedings of the 2024 ACM on Internet Measurement Conference, 2024

ControlCap: Controllable Region-Level Captioning.

Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan

Proceedings of the Computer Vision - ECCV 2024, 2024

Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling.

Xianjie Zhang, Jiahao Sun, Chen Gong, Kai Wang, Yifei Cao, Hao Chen, Yu Liu

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query.

Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang

CoRR, 2023

Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning.

Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou

CoRR, 2023

Are We Ready to Embrace Generative AI for Software Q&A?

Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Xuan-Bach Dinh Le, David Lo

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Centralized Cooperative Exploration Policy for Continuous Control Tasks.

Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Unsupervised Domain Adaptation GAN Inversion for Image Editing.

Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu

CoRR, 2022

Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets.

Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo

CoRR, 2022

Pattern recognition of epilepsy using parallel probabilistic neural network.

Chen Gong, Xingchen Zhou, Yunyun Niu

Appl. Intell., 2022

Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution.

Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Lu

Proceedings of the International Joint Conference on Neural Networks, 2022

Curiosity-Driven and Victim-Aware Adversarial Policies.

Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning.

Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou

CoRR, 2021

Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework.

Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan

CoRR, 2021

LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders.

Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu

CoRR, 2021

MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning.

Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu

CoRR, 2021

Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games.

Chen Gong, Qiang He, Yunpeng Bai, Xinwen Hou, Guoliang Fan, Yu Liu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

Identification of epilepsy from intracranial EEG signals by using different neural network models.

Chen Gong, Xiaoxiong Zhang, Yunyun Niu

Comput. Biol. Chem., 2020

Stable Training of Bellman Error in Reinforcement Learning.

Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji

Proceedings of the Neural Information Processing - 27th International Conference, 2020