Chen Gong - RankMe

55 papers A* 10A 6B 1Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models. CoRR Zhenyuan Guo, Tong Chen, Wenlong Meng, Chen Gong, Xin Yu, Chengkun Wei, Wenzhi Chen
2026	J	`jnl`	From Easy to Hard++: Promoting Differentially Private Image Synthesis Through Spatial-Frequency Curriculum. CoRR Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
2026	J	`jnl`	Watermarking LLM Agent Trajectories. CoRR Wenlong Meng, Chen Gong, Terry Yue Zhuo, Fan Zhang, Kecen Li, Zheng Liu, Zhou Yang, Chengkun Wei, Wenzhi Chen
2025	—	`conf`	Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy. ACL (Findings) Zhenyuan Guo, Yi Shi, Wenlong Meng, Chen Gong, Chengkun Wei, Wenzhi Chen
2025	J	`jnl`	Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy. CoRR Zhenyuan Guo, Yi Shi, Wenlong Meng, Chen Gong, Chengkun Wei, Wenzhi Chen
2025	J	`jnl`	Benchmarking Differentially Private Tabular Data Synthesis: [Experiments & Analysis]. Proc. ACM Manag. Data Kai Chen, Xiaochen Li, Chen Gong, Ryan McKenna, Tianhao Wang
2025	J	`jnl`	Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis. CoRR Kai Chen, Chen Gong, Tianhao Wang
2025	J	`jnl`	BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution. CoRR Terry Yue Zhuo, Xiaolong Jin, Hange Liu, Juyong Jiang, Tianyang Liu, Chen Gong, Bhupesh Bishnoi, Vaisakhi Mishra, Marek Suppa, Noah Ziems, Saiteja Utpala, Ming Xu, Guangyu Song, Kaixin Li, Yuhan Cao, Bo Liu, Zheng Liu, Sabina Abdurakhmanova, Wenhao Yu, Mengzhao Jia, Jihan Yao, Kenneth Hamilton, Kumar Shridhar, Minh Chien Vu, Dingmin Wang, Jiawei Liu, Zijian Wang, Qian Liu, Binyuan Hui, Meg Risdal, Ahsen Khaliq, Atin Sood, Zhenchang Xing, Wasi Uddin Ahmad, John Grundy, David Lo, Banghua Zhu, Xiaoning Du, Torsten Scholak, Leandro von Werra
2025	A*	`conf`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. ICLR 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, James Hoang, Armel Randy Zebaze, Xiaoheng Hong, Wen-Ding Li, Jean Kaddour, Ming Xu, Zhihan Zhang, Prateek Yadav, et al.
2025	J	`jnl`	DC-SGD: Differentially Private SGD With Dynamic Clipping Through Gradient Norm Distribution Estimation. IEEE Trans. Inf. Forensics Secur. Chengkun Wei, Weixian Li, Chen Gong, Wenzhi Chen
2025	J	`jnl`	DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation. CoRR Chengkun Wei, Weixian Li, Chen Gong, Wenzhi Chen
2025	A*	`conf`	DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis. CCS Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
2025	J	`jnl`	DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis. CoRR Chen Gong, Kecen Li, Zinan Lin, Tianhao Wang
2025	A*	`conf`	Delay-allowed Differentially Private Data Stream Release. NDSS Xiaochen Li, Zhan Qin, Kui Ren, Chen Gong, Shuya Feng, Yuan Hong, Tianhao Wang
2025	A*	`conf`	DynRefer: Delving into Region-level Multimodal Tasks via Dynamic Resolution. CVPR Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan
2025	A*	`conf`	From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. SP Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2025	J	`jnl`	From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. CoRR Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2025	J	`jnl`	PrivCode: When Code Generation Meets Differential Privacy. CoRR Zheng Liu, Chen Gong, Terry Yue Zhuo, Kecen Li, Weichen Yu, Matt Fredrikson, Tianhao Wang
2025	—	`conf`	R.R.: Unveiling LLM Training Privacy through Recollection and Ranking. ACL (Findings) Wenlong Meng, Zhenyuan Guo, Lenan Wu, Chen Gong, Wenyan Liu, Weixian Li, Chengkun Wei, Wenzhi Chen
2025	J	`jnl`	R.R.: Unveiling LLM Training Privacy through Recollection and Ranking. CoRR Wenlong Meng, Zhenyuan Guo, Lenan Wu, Chen Gong, Wenyan Liu, Weixian Li, Chengkun Wei, Wenzhi Chen
2025	J	`jnl`	SPAS: Continuous Release of Data Streams under w-Event Differential Privacy. Proc. ACM Manag. Data Xiaochen Li, Tianyu Li, Yitian Cheng, Chen Gong, Kui Ren, Zhan Qin, Tianhao Wang
2025	A*	`conf`	TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents. NDSS Chen Gong, Kecen Li, Jin Yao, Tianhao Wang
2024	A*	`conf`	Baffle: Hiding Backdoors in Offline Reinforcement Learning Datasets. SP Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Kecen Li, Arunesh Sinha, Bowen Xu, Xinwen Hou, David Lo, Tianhao Wang
2024	J	`jnl`	BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. CoRR 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
2024	—	`conf`	ControlCap: Controllable Region-Level Captioning. ECCV (38) Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan
2024	J	`jnl`	Controllable Dense Captioner with Multimodal Embedding Bridging. CoRR Yuzhong Zhao, Yue Liu, Zonghao Guo, Weijia Wu, Chen Gong, Qixiang Ye, Fang Wan
2024	J	`jnl`	DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution. CoRR Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan
2024	A	`conf`	GAN Inversion for Image Editing via Unsupervised Domain Adaptation. ICME Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu
2024	A	`conf`	Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling. AAMAS Xianjie Zhang, Jiahao Sun, Chen Gong, Kai Wang, Yifei Cao, Hao Chen, Yu Liu
2024	A	`conf`	NetDPSyn: Synthesizing Network Traces under Differential Privacy. IMC Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li
2024	J	`jnl`	NetDPSyn: Synthesizing Network Traces under Differential Privacy. CoRR Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li
2024	A*	`conf`	PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining. USENIX Security Symposium Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2024	J	`jnl`	TrajDeleter: Enabling Trajectory Forgetting in Offline Reinforcement Learning Agents. CoRR Chen Gong, Kecen Li, Jin Yao, Tianhao Wang
2023	A*	`conf`	Are We Ready to Embrace Generative AI for Software Q&A? ASE Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
2023	J	`jnl`	Are We Ready to Embrace Generative AI for Software Q&A? CoRR Bowen Xu, Thanh-Dat Nguyen, Thanh Le-Cong, Thong Hoang, Jiakun Liu, Kisub Kim, Chen Gong, Changan Niu, Chenyu Wang, Bach Le, David Lo
2023	A	`conf`	Centralized Cooperative Exploration Policy for Continuous Control Tasks. AAMAS Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
2023	J	`jnl`	Centralized Cooperative Exploration Policy for Continuous Control Tasks. CoRR Chao Li, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
2023	A*	`conf`	Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control. NeurIPS Chao Li, Chen Gong, Qiang He, Xinwen Hou
2023	J	`jnl`	Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control. CoRR Chao Li, Chen Gong, Qiang He, Xinwen Hou
2023	J	`jnl`	Meticulously Selecting 1% of the Dataset for Pre-training! Generating Differentially Private Images Data with Semantics Query. CoRR Kecen Li, Chen Gong, Zhixiang Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang
2023	J	`jnl`	Mutual Information as Intrinsic Reward of Reinforcement Learning Agents for On-demand Ride Pooling. CoRR Xianjie Zhang, Jiahao Sun, Chen Gong, Kai Wang, Yifei Cao, Hao Chen, Yu Liu
2023	J	`jnl`	Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning. CoRR Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou
2022	B	`conf`	Cooperative Multi-Agent Reinforcement Learning with Hypergraph Convolution. IJCNN Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou, Yu Liu
2022	A	`conf`	Curiosity-Driven and Victim-Aware Adversarial Policies. ACSAC Chen Gong, Zhou Yang, Yunpeng Bai, Jieke Shi, Arunesh Sinha, Bowen Xu, David Lo, Xinwen Hou, Guoliang Fan
2022	J	`jnl`	Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets. CoRR Chen Gong, Zhou Yang, Yunpeng Bai, Junda He, Jieke Shi, Arunesh Sinha, Bowen Xu, Xinwen Hou, Guoliang Fan, David Lo
2022	J	`jnl`	Pattern recognition of epilepsy using parallel probabilistic neural network. Appl. Intell. Chen Gong, Xingchen Zhou, Yunyun Niu
2022	J	`jnl`	Pruning the Communication Bandwidth between Reinforcement Learning Agents through Causal Inference: An Innovative Approach to Designing a Smart Grid Power System. Sensors Xianjie Zhang, Yu Liu, Wenjun Li, Chen Gong
2022	J	`jnl`	Unsupervised Domain Adaptation GAN Inversion for Image Editing. CoRR Siyu Xing, Chen Gong, Hewei Guo, Xiao-Yu Zhang, Xinwen Hou, Yu Liu
2021	J	`jnl`	Combing Policy Evaluation and Policy Improvement in a Unified f-Divergence Framework. CoRR Chen Gong, Qiang He, Yunpeng Bai, Xiaoyu Chen, Xinwen Hou, Yu Liu, Guoliang Fan
2021	J	`jnl`	LDC-VAE: A Latent Distribution Consistency Approach to Variational AutoEncoders. CoRR Xiaoyu Chen, Chen Gong, Qiang He, Xinwen Hou, Yu Liu
2021	J	`jnl`	MEPG: A Minimalist Ensemble Policy Gradient Framework for Deep Reinforcement Learning. CoRR Qiang He, Chen Gong, Yuxun Qu, Xiaoyu Chen, Xinwen Hou, Yu Liu
2021	J	`jnl`	Value Function Factorisation with Hypergraph Convolution for Cooperative Multi-agent Reinforcement Learning. CoRR Yunpeng Bai, Chen Gong, Bin Zhang, Guoliang Fan, Xinwen Hou
2021	A	`conf`	Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games. ICME Chen Gong, Qiang He, Yunpeng Bai, Xinwen Hou, Guoliang Fan, Yu Liu
2020	J	`jnl`	Identification of epilepsy from intracranial EEG signals by using different neural network models. Comput. Biol. Chem. Chen Gong, Xiaoxiong Zhang, Yunyun Niu
2020	—	`conf`	Stable Training of Bellman Error in Reinforcement Learning. ICONIP (5) Chen Gong, Yunpeng Bai, Xinwen Hou, Xiaohui Ji