Huan Wang - RankMe

131 papers A* 27A 4B 2Journal 85Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AudioCapBench: Quick Evaluation on Audio Captioning across Sound, Music, and Speech. CoRR Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Building Enterprise Realtime Voice Agents from Scratch: A Technical Tutorial. CoRR Jielin Qiu, Zixiang Chen, Liangwei Yang, Ming Zhu, Zhiwei Liu, Juntao Tan, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Enterprise Sales Copilot: Enabling Real-Time AI Support with Automatic Information Retrieval in Live Sales Calls. CoRR Jielin Qiu, Liangwei Yang, Ming Zhu, Wenting Zhao, Zhiwei Liu, Juntao Tan, Zixiang Chen, Roshan Ram, Akshara Prabhakar, Rithesh Murthy, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2026	J	`jnl`	Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models. CoRR Liangwei Yang, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Jielin Qiu, Zixiang Chen, Juntao Tan, Jianguo Zhang, Zhiwei Liu, Wenting Zhao, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke
2026	J	`jnl`	Prompt Optimization Via Diffusion Language Models. CoRR Shiyu Wang, Haolin Chen, Liangwei Yang, Jielin Qiu, Rithesh Murthy, Ming Zhu, Zixiang Chen, Silvio Savarese, Caiming Xiong, Shelby Heinecke, Huan Wang
2026	J	`jnl`	VoiceAgentRAG: Solving the RAG Latency Bottleneck in Real-Time Voice Agents Using Dual-Agent Architectures. CoRR Jielin Qiu, Jianguo Zhang, Zixiang Chen, Liangwei Yang, Ming Zhu, Juntao Tan, Haolin Chen, Wenting Zhao, Rithesh Murthy, Roshan Ram, Akshara Prabhakar, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2025	J	`jnl`	APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay. CoRR Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong
2025	A*	`conf`	ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. EMNLP Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2025	J	`jnl`	ActionStudio: A Lightweight Framework for Data and Training of Large Action Models. CoRR Jianguo Zhang, Thai Hoang, Ming Zhu, Zuxin Liu, Shiyu Wang, Tulika Awalgaonkar, Akshara Prabhakar, Haolin Chen, Weiran Yao, Zhiwei Liu, Juntao Tan, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2025	—	`conf`	BLIP-3: A Family of Open Large Multimodal Models. ICCVW Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Shao-Yen Tseng, Gustavo A. Lujan-Moreno, Matthew L. Olson, Musashi Hinck, David Cobbley, Vasudev Lal, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2025	—	`conf`	CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. NAACL (Long Papers) Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu
2025	J	`jnl`	CoDA: Coding LM via Diffusion Adaptation. CoRR Haolin Chen, Shiyu Wang, Can Qin, Bo Pang, Zuxin Liu, Jielin Qiu, Jianguo Zhang, Yingbo Zhou, Zeyuan Chen, Ran Xu, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao
2025	A*	`conf`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. ICLR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh R. N., Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2025	J	`jnl`	Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics. CoRR Akshara Prabhakar, Roshan Ram, Zixiang Chen, Silvio Savarese, Frank Wang, Caiming Xiong, Huan Wang, Weiran Yao
2025	J	`jnl`	Entropy-Based Block Pruning for Efficient Large Language Models. CoRR Liangwei Yang, Yuhui Xu, Juntao Tan, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke
2025	J	`jnl`	GeoGNN: Quantifying and Mitigating Semantic Drift in Text-Attributed Graphs. CoRR Liangwei Yang, Jing Ma, Jianguo Zhang, Zhiwei Liu, Jielin Qiu, Shirley Kokane, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu, Huan Wang, Weiran Yao, Caiming Xiong, Shelby Heinecke
2025	—	`conf`	LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. ACL (Findings) Thai Quoc Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025	J	`jnl`	LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback. CoRR Thai Hoang, Kung-Hsiang Huang, Shirley Kokane, Jianguo Zhang, Zuxin Liu, Ming Zhu, Jake Grigsby, Tian Lan, Michael S. Ryoo, Chien-Sheng Wu, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles
2025	A*	`conf`	LATTE: Learning to Think with Vision Specialists. EMNLP Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese
2025	J	`jnl`	LoCoBench-Agent: An Interactive Benchmark for LLM Agents in Long-Context Software Engineering. CoRR Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Roshan Ram, Akshara Prabhakar, Tulika Awalgaonkar, Zixiang Chen, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang
2025	J	`jnl`	LoCoBench: A Benchmark for Long-Context Large Language Models in Complex Software Engineering. CoRR Jielin Qiu, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Jianguo Zhang, Haolin Chen, Shiyu Wang, Ming Zhu, Liangwei Yang, Juntao Tan, Zhepeng Cen, Cheng Qian, Shelby Heinecke, Weiran Yao, Silvio Savarese, Caiming Xiong, Huan Wang
2025	—	`conf`	MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. EMNLP (System Demonstrations) Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2025	J	`jnl`	MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models. CoRR Zhiwei Liu, Jielin Qiu, Shiyu Wang, Jianguo Zhang, Zuxin Liu, Roshan Ram, Haolin Chen, Weiran Yao, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong
2025	—	`conf`	PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. ACL (Findings) Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh R. N., Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke
2025	J	`jnl`	PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data. CoRR Juntao Tan, Liangwei Yang, Zuxin Liu, Zhiwei Liu, Rithesh Murthy, Tulika Manoj Awalgaonkar, Jianguo Zhang, Weiran Yao, Ming Zhu, Shirley Kokane, Silvio Savarese, Huan Wang, Caiming Xiong, Shelby Heinecke
2025	J	`jnl`	Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models. CoRR Rithesh Murthy, Ming Zhu, Liangwei Yang, Jielin Qiu, Juntao Tan, Shelby Heinecke, Caiming Xiong, Silvio Savarese, Huan Wang
2025	—	`conf`	SlackAgents: Scalable Collaboration of AI Agents in Workspaces. EMNLP (System Demonstrations) Zhiwei Liu, Weiran Yao, Zuxin Liu, Juntao Tan, Jianguo Zhang, Frank Wang, Sukhandeep Nahal, Huan Wang, Shelby Heinecke, Silvio Savarese, Caiming Xiong
2025	A*	`conf`	Text2Data: Low-Resource Data Generation with Textual Control. AAAI Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
2025	J	`jnl`	ToolLibGen: Scalable Automatic Tool Creation and Aggregation for LLM Reasoning. CoRR Murong Yue, Zhiwei Liu, Liangwei Yang, Jianguo Zhang, Zuxin Liu, Haolin Chen, Ziyu Yao, Silvio Savarese, Caiming Xiong, Shelby Heinecke, Huan Wang
2025	J	`jnl`	UserBench: An Interactive Gym Environment for User-Centric Agents. CoRR Cheng Qian, Zuxin Liu, Akshara Prabhakar, Zhiwei Liu, Jianguo Zhang, Haolin Chen, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
2025	J	`jnl`	UserRL: Training Interactive User-Centric Agent via Reinforcement Learning. CoRR Cheng Qian, Zuxin Liu, Akshara Prabhakar, Jielin Qiu, Zhiwei Liu, Haolin Chen, Shirley Kokane, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
2025	J	`jnl`	Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels. CoRR Zhepeng Cen, Haolin Chen, Shiyu Wang, Zuxin Liu, Zhiwei Liu, Ding Zhao, Silvio Savarese, Caiming Xiong, Huan Wang, Weiran Yao
2025	—	`conf`	xLAM: A Family of Large Action Models to Empower AI Agent Systems. NAACL (Long Papers) Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh R. N., Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2025	J	`jnl`	xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning. CoRR Cheng Qian, Zuxin Liu, Shirley Kokane, Akshara Prabhakar, Jielin Qiu, Haolin Chen, Zhiwei Liu, Heng Ji, Weiran Yao, Shelby Heinecke, Silvio Savarese, Caiming Xiong, Huan Wang
2024	A*	`conf`	APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets. NeurIPS Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh R. N., Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
2024	J	`jnl`	APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
2024	J	`jnl`	AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
2024	J	`jnl`	CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments. CoRR Kung-Hsiang Huang, Akshara Prabhakar, Sidharth Dhawan, Yixin Mao, Huan Wang, Silvio Savarese, Caiming Xiong, Philippe Laban, Chien-Sheng Wu
2024	—	`conf`	Causal Layering via Conditional Entropy. CLeaR Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang
2024	J	`jnl`	Causal Layering via Conditional Entropy. CoRR Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese
2024	—	`conf`	DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
2024	J	`jnl`	Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong
2024	J	`jnl`	Editing Arbitrary Propositions in LLMs without Subject Labels. CoRR Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research. CoRR Tian Lan, Huan Wang, Caiming Xiong, Silvio Savarese
2024	A*	`conf`	HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
2024	A*	`conf`	How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. ICLR Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
2024	J	`jnl`	Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding. CoRR Haolin Chen, Yihao Feng, Zuxin Liu, Weiran Yao, Akshara Prabhakar, Shelby Heinecke, Ricky Ho, Phil Mui, Silvio Savarese, Caiming Xiong, Huan Wang
2024	J	`jnl`	MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese
2024	—	`conf`	On the Unlikelihood of D-Separation. PGM Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Huan Wang, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. CoRR Zhiwei Liu, Weiran Yao, Jianguo Zhang, Rithesh Murthy, Liangwei Yang, Zuxin Liu, Tian Lan, Ming Zhu, Juntao Tan, Shirley Kokane, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2024	B	`conf`	Personalized Multi-task Training for Recommender System. IEEE Big Data Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024	J	`jnl`	Personalized Multi-task Training for Recommender System. CoRR Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu
2024	A*	`conf`	Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2024	A*	`conf`	Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. ICLR Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
2024	J	`jnl`	SpecTool: A Benchmark for Characterizing Errors in Tool-Use LLMs. CoRR Shirley Kokane, Ming Zhu, Tulika Awalgaonkar, Jianguo Zhang, Thai Hoang, Akshara Prabhakar, Zuxin Liu, Tian Lan, Liangwei Yang, Juntao Tan, Rithesh Murthy, Weiran Yao, Zhiwei Liu, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese
2024	J	`jnl`	TACO: Learning Multi-modal Action Models with Synthetic Chains-of-Thought-and-Action. CoRR Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese
2024	J	`jnl`	Text2Data: Low-Resource Data Generation with Textual Control. CoRR Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
2024	A	`conf`	Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. SDM Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
2024	J	`jnl`	xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu
2024	—	`conf`	xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations. ECCV Workshops (5) Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong
2024	J	`jnl`	xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2023	A*	`conf`	CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong
2023	B	`conf`	Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2023	J	`jnl`	Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong
2023	A*	`conf`	Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
2023	J	`jnl`	Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang
2023	J	`jnl`	HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu
2023	J	`jnl`	How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. CoRR Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai
2023	A*	`conf`	Improved Online Conformal Prediction via Strongly Adaptive Online Learning. ICML Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai
2023	J	`jnl`	Improved Online Conformal Prediction via Strongly Adaptive Online Learning. CoRR Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai
2023	A*	`conf`	Lower Bounds for Learning in Revealing POMDPs. ICML Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai
2023	J	`jnl`	Lower Bounds for Learning in Revealing POMDPs. CoRR Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai
2023	J	`jnl`	Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang
2023	J	`jnl`	On the Unlikelihood of D-Separation. CoRR Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit
2023	J	`jnl`	REX: Rapid Exploration and eXploitation for AI Agents. CoRR Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2023	J	`jnl`	Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese
2023	J	`jnl`	Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles
2023	J	`jnl`	Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. CoRR Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
2023	J	`jnl`	Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. CoRR Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
2023	A*	`conf`	Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. NeurIPS Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei
2023	J	`jnl`	Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. CoRR Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei
2023	A*	`conf`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	J	`jnl`	UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
2023	A	`conf`	Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023	J	`jnl`	Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2022	J	`jnl`	A Conversational Paradigm for Program Synthesis. CoRR Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong
2022	J	`jnl`	Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong
2022	A*	`conf`	Efficient and Differentiable Conformal Prediction with General Function Classes. ICLR Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	Efficient and Differentiable Conformal Prediction with General Function Classes. CoRR Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong
2022	A*	`conf`	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. NeurIPS Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
2022	J	`jnl`	Generating Negative Samples for Sequential Recommendation. CoRR Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong
2022	A	`conf`	Local calibration: metrics and recalibration. UAI Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone
2022	A*	`conf`	Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
2022	J	`jnl`	Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai
2022	J	`jnl`	WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU. J. Mach. Learn. Res. Tian Lan, Sunil Srinivasa, Huan Wang, Stephan Zheng
2021	—	`conf`	BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. ACL/IJCNLP (Findings) Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong
2021	A*	`conf`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2021	A*	`conf`	Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. ICML Yu Bai, Song Mei, Huan Wang, Caiming Xiong
2021	J	`jnl`	Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. CoRR Yu Bai, Song Mei, Huan Wang, Caiming Xiong
2021	J	`jnl`	Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. CoRR Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong
2021	A*	`conf`	Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
2021	J	`jnl`	Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher
2021	A*	`conf`	How Important is the Train-Validation Split in Meta-Learning? ICML Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong
2021	J	`jnl`	Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles. CoRR Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong
2021	J	`jnl`	Localized Calibration: Metrics and Recalibration. CoRR Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon
2021	J	`jnl`	Merlion: A Machine Learning Library for Time Series. CoRR Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang
2021	J	`jnl`	Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE. CoRR Devansh Arpit, Aadyot Bhatnagar, Huan Wang, Caiming Xiong
2021	A*	`conf`	Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. NeurIPS Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai
2021	J	`jnl`	Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. CoRR Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai
2021	A*	`conf`	Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. NeurIPS Yu Bai, Chi Jin, Huan Wang, Caiming Xiong
2021	J	`jnl`	Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. CoRR Yu Bai, Chi Jin, Huan Wang, Caiming Xiong
2021	A*	`conf`	Understanding the Under-Coverage Bias in Uncertainty Estimation. NeurIPS Yu Bai, Song Mei, Huan Wang, Caiming Xiong
2021	J	`jnl`	Understanding the Under-Coverage Bias in Uncertainty Estimation. CoRR Yu Bai, Song Mei, Huan Wang, Caiming Xiong
2021	—	`conf`	Unsupervised Paraphrasing with Pretrained Language Models. EMNLP (1) Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong
2020	A	`conf`	Assessing Local Generalization Capability in Deep Models. AISTATS Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2020	J	`jnl`	Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	How Important is the Train-Validation Split in Meta-Learning? CoRR Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong
2020	J	`jnl`	Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. CoRR Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio
2020	J	`jnl`	Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. CoRR Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher
2020	A*	`conf`	Towards Understanding Hierarchical Learning: Benefits of Neural Representations. NeurIPS Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher
2020	J	`jnl`	Towards Understanding Hierarchical Learning: Benefits of Neural Representations. CoRR Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher
2020	J	`jnl`	Unsupervised Paraphrase Generation via Dynamic Blocking. CoRR Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong
2019	J	`jnl`	Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong
2019	J	`jnl`	Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher
2019	A*	`conf`	On the Generalization Gap in Reparameterizable Reinforcement Learning. ICML Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher
2019	J	`jnl`	On the Generalization Gap in Reparameterizable Reinforcement Learning. CoRR Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher
2018	J	`jnl`	Identifying Generalization Properties in Neural Networks. CoRR Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher