Khang Tran - RankMe

22 papers A* 1A 2B 3Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression. WSDM Khang Tran, Hieu Cao, Thinh Pham, Nghiem Diep, Tri Cao, Binh Nguyen
2026	J	`jnl`	NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs. CoRR Khoa Nguyen, Khiem Ton, NhatHai Phan, Issa Khalil, Khang Tran, Cristian Borcea, Ruoming Jin, Abdallah Khreishah, My T. Thai
2025	—	`conf`	FairDP: Achieving Fairness Certification with Differential Privacy. SaTML Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, Linh Thi Xuan Phan, NhatHai Phan
2025	J	`jnl`	FedX: Adaptive Model Decomposition and Quantization for IoT Federated Learning. CoRR Phung Lai, Xiaopeng Jiang, Hai Phan, Cristian Borcea, Khang Tran, An M. Chen, Vijaya Datta Mayyuri, Ruoming Jin
2025	A*	`conf`	LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models. USENIX Security Symposium Ahmed Lekssays, Hamza Mouhcine, Khang Tran, Ting Yu, Issa Khalil
2025	J	`jnl`	LLMxCPG: Context-Aware Vulnerability Detection Through Code Property Graph-Guided Large Language Models. CoRR Ahmed Lekssays, Hamza Mouhcine, Khang Tran, Ting Yu, Issa Khalil
2025	J	`jnl`	MELCOT: A Hybrid Learning Architecture with Marginal Preservation for Matrix-Valued Regression. CoRR Khang Tran, Hieu Cao, Thinh Pham, Nghiem Tuong Diep, Tri Cao, Binh T. Nguyen
2025	J	`jnl`	PRPO: Paragraph-level Policy Optimization for Vision-Language Deepfake Detection. CoRR Tuan Nguyen, Naseem Khan, Khang Tran, NhatHai Phan, Issa Khalil
2025	B	`conf`	SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. IEEE Big Data Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil
2025	J	`jnl`	SGFusion: Stochastic Geographic Gradient Fusion in Federated Learning. CoRR Khoa Nguyen, Khang Tran, NhatHai Phan, Cristian Borcea, Ruoming Jin, Issa Khalil
2025	J	`jnl`	Sparse Partial Optimal Transport via Quadratic Regularization. CoRR Khang Tran, Khoa Nguyen, Anh Nguyen, Thong Huynh, Son Pham, Sy-Hoang Nguyen-Dang, Manh Pham, Bang Vo, Mai Ngoc Tran, Dung Luong
2024	—	`conf`	Combining Adaptive Large Neighborhood Search with Guided Ejection Search for Real-World Multiple-Vehicle Pickup and Delivery Problem with Time Windows. GECCO Companion Tri Phan, Khang Tran, Ngoc Hoang Luong
2024	J	`jnl`	CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation. CoRR Huy Trinh, Khang Tran, Nam Nguyen, Tri Cao, Binh Nguyen
2023	A	`conf`	Active Membership Inference Attack under Local Differential Privacy in Federated Learning. AISTATS Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
2023	J	`jnl`	Active Membership Inference Attack under Local Differential Privacy in Federated Learning. CoRR Truc D. T. Nguyen, Phung Lai, Khang Tran, NhatHai Phan, My T. Thai
2023	J	`jnl`	FairDP: Certified Fairness with Differential Privacy. CoRR Khang Tran, Ferdinando Fioretto, Issa Khalil, My T. Thai, NhatHai Phan
2023	—	`conf`	Simulated Annealing with Dynamic Programming-based Vertex Insertion for Efficiently Solving the Traveling Thief Problem. SoICT Hoang Nguyen, Nam Le, Khang Tran, Ngoc Hoang Luong
2022	B	`conf`	Combining Soft-Actor Critic with Cross-Entropy Method for Policy Search in Continuous Control. CEC Hieu Trung Nguyen, Khang Tran, Ngoc Hoang Luong
2022	B	`conf`	Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. IEEE Big Data Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My T. Thai, Xintao Wu
2022	J	`jnl`	Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks. CoRR Khang Tran, Phung Lai, NhatHai Phan, Issa Khalil, Yao Ma, Abdallah Khreishah, My Tra Thai, Xintao Wu
2018	—	`conf`	Towards Thermal Region of Interest for Human Emotion Estimation. KSE Thu Nguyen, Khang Tran, Hung Nguyen
2009	J	`jnl`	Generating functions of Chebyshev-like polynomials CoRR Alin Bostan, Bruno Salvy, Khang Tran